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An Brief Insight On Kubernetes Alternatives in 2024

Shiwani Sharma — Thu, 04 Jul 2024 07:00:39 +0000

8 Best Kubernetes Alternatives in 2024

An Brief Insight On Kubernetes Alternatives in 2024

Kubernetes Alternatives , In our previous blog, we have learn all about Kubernetes Metrics and best 8 Kubernetes metrics of 2024 https://devopscurry.com/top-8-kubernetes-metrics-in-2024/. Now, we will learn about best top 8 Kubernetes alternatives in 2024 that are as follow:

Here are the top 8 Kubernetes alternatives for 2024:

Amazon Elastic Kubernetes Service (EKS)

Amazon EKS simplifies the operation of Kubernetes applications in the AWS cloud. Organizations like GoDaddy, Intel, Snap, Autodesk, and Intuit trust EKS for its ability to manage worker nodes and the Kubernetes control plane effortlessly. EKS offers a Containers-as-a-Service (CaaS) platform for Kubernetes deployment on AWS. It control the services that build it simple to flow Kubernetes on AWS without the requirement to install and operate your own Kubernetes control nodes or plane. One of the main intention of this Kubernetes alternatives to build is to give highly accessible and secure Kubernetes environment, making it simpler to handle, deploy and scale containerized application by utilizing Kubernetes on AWS.

OpenShift Kubernetes

OpenShift Kubernetes offers comprehensive management, deployment, and large-scale application development capabilities. It includes a Container Orchestration Engine and Platform-as-a-Service (PaaS) features. OpenShift allows developers to deploy applications in an Integrated Development Environment (IDE), while administrators manage the Kubernetes infrastructure. As from the name it is clear that it is a Kubernetes-based platform that is organized by Red Hat that provides extra characteristics and services on top of Kubernetes to provide a most robust and enterprise-ready solution for deploying and regulating containerized applications. One of the best features of OpenShift is it is a easily operated interface for operating resources, managing application and projects.

Rancher

This is also one of the famous open-source platform that offers the management, deployment and scaling of Kubernetes clusters. Rancher provides complete Kubernetes cluster management, including monitoring, pool management, and provisioning. It’s also closely associated with Longhorn, offering cloud-native distributed storage for Kubernetes. Rancher is user-friendly and operates within Docker containers. It’s an open-source solution with no vendor lock-in, similar to OpenShift. It permit you to handle multiple Kubernetes clusters from a single pane of glass, whether they are on-premises, in the edges or in the cloud.

Google Kubernetes Engine (GKE)

Developed by Google engineers, GKE is available on Google Cloud and can be deployed on-premises and in hybrid environments. GKE offers essential features such as logging, monitoring, load balancing, auto-upgrades, and auto-scaling. It gives a powerful and flexible platform for deploying, scaling and managing Kubernetes clusters. It provide a overall managed environment, automating routine tasks as like upgrades, clusters provisioning, repairs and permit you to concentrates on the application rather than infrastructure management.

Azure Kubernetes Service (AKS)

Azure Kubernetes Service is widely used for deploying, managing, and scaling containerized applications. It provides serverless Kubernetes and supports Continuous Integration and Continuous Delivery (CI/CD). AKS offers various methods for cluster provisioning, including Terraform, web console, command-line tools, and Azure Resource Manager.

Cloud Foundry

Cloud Foundry is a Platform-as-a-Service (PaaS) and a open-source platform that simplifies application deployment and management, offering a focused experience for developers. It helps the deployment across many cloud providers, giving workability and keep away from vendor lock-in. It is particularly famous among development and organization team looking to accelerate their application delivery while verify reliability, scalability and security over the environment of cloud.

Docker Compose

Docker Compose is a tool for orchestrating multi-container Docker applications. While not a full-fledged orchestration platform, it is suitable for smaller deployments and small-scale organizations. This tool is basically utilized by the team and developers looking to streamline the deployment and management of Dockerized application across several environment from local development to production deployments. It also permit you to define numbers of services that make up your applications in a particle individuals file. It also help to clarify environment variables for services, which can be sourced from external files.

Nomad by HashiCorp

Nomad is a flexible and simple orchestration tool used for deploying and managing applications at scale. It supports both containers and virtual machines (VMs). It is created to automate the deployment and management of application over a cluster of machines. It also helps in managing and deploying application over multiple clouds such as Azure, AWS and GCP and regions, giving flexibility and keep away from vendor lock-in.

Challenges Leading Organizations to Seek Kubernetes

Alternatives Kubernetes (K8s) presents certain challenges, prompting organizations to explore alternative solutions:

Monitoring and Debugging: Ensuring the performance and health of Kubernetes alternatives can be challenging, as visibility into the platform’s operation may be limited.
Vendor Lock-In: Organizations using Kubernetes services from cloud providers like Google GKE, Azure AKS, and AWS EKS may find it difficult to migrate to other providers due to vendor-specific configurations.
Scalability Concerns: While Kubernetes is designed to manage large clusters, scaling can still be a challenge, especially for complex deployments.
Security Challenges: Kubernetes security requires organizations to configure and manage security policies, which can be a complex task.

Conclusion:

As we navigate through 2024, exploring Kubernetes alternatives reveals a diverse landscape of tools that cater to different deployment needs and operational philosophies. From the simplicity and flexibility of Docker Compose to the robust orchestration capabilities of Nomad by HashiCorp, each alternative offers unique strengths.

Whether you prioritize ease of use, multi-cloud support, or specific application requirements, the alternatives discussed—Docker Compose, Nomad, and others—present compelling options for deploying and managing containerized applications. By understanding their features, use cases, and integration capabilities, you can make informed decisions that best fit your organization’s infrastructure goals and operational strategies in the dynamic world of cloud-native technologies. Embrace the diversity of options available and choose wisely to optimize your deployment workflows in 2024 and beyond.

The post An Brief Insight On Kubernetes Alternatives in 2024 appeared first on DevopsCurry.

Understanding the Role of DevOps professional in 2024

Sun, 14 Apr 2024 12:11:03 +0000

Roles and Responsibilities of a DevOps Professional

Understanding the Role of DevOps is the talk of the town, there has been a lot of curiosity, discussions, brainstorming going in the software industry about it. There is also a lot of literature available online about DevOps, but still many fail to understand what exactly it is. Is it technology? Is it a process?

DevOps is a set of practices that combines both sides of the software world, Development (Dev) and IT operations(Ops). It aims to shorten the systems development life cycle and provide continuous delivery with high software quality.

Who is a DevOps Engineer?

The DevOps process is still evolving and making progress every day. As the process is still advancing and making a breakthrough, so is the role of DevOps Engineer. It is often difficult to comprehend the role as it is not confined to a single defined entity. But, to put it into the simplest terms the DevOps Engineer is a cross-functional role, the person works with the developers and Operations team to facilitate the code release in alignment with the CI/CD pipeline.

We frequently encounter this common query as “What does a DevOps engineer do?”, “What is the role of a Devops enigneer”,” What responsibilties does Devops team handle” etc.

So to answer that there is no fixed set of defined roles and resposibilities for a Devops professional, but their roles keep on changing from one organisation to another based on the requirement. However as a part of this post we have tried to cover some of the general expectations from Devops person, which again change on a need basis.

Roles and Responsibilities in the team

The DevOps process is an amalgamation of people of different roles coming together to work on a project as a team. So, the role requires a person who has knowledge of diverse fields. Lets have a look at the responsibilities of a DevOps Engineer:

1. A Software specialist
Oversee the latest technology trends and processes currently in the market. Also, analyze,reserach and implement the new requirements and develops a plan for improvement according to the market trends and customer needs. Someone who had good understanding and experience with the different SDLC phases.

2. Cloud Architect
A Devops engineer also needs to work in a cloud environment, hence experience with public clouds like AWS, Azure,GCP is required.A lso with more and more organizations following the Hybrid cloud and Multi-cloud approaches, the Devops person is supposed to have worked with different public cloud and should be able to architect Multi-cloud solutions.

3. Team Management
Involved in analyzing the issues, prioritizing and delegating the tasks to the team members. The DevOps Engineer should have thorough knowledge and experience of all stages of the product lifecycle. He should be a good team player and also a good leader so that can lead and manage the team in future.

4. Agile expertise
The DevOps role requires a thorough understanding of the software development lifecycle especially Agile Methodology. The DevOps is an extension of agile, so the inside out knowledge of that helps in implementing the DevOps lifecycle efficiently.

5.Technology Enthusiast (Tech Evangelist)
The DevOps is still growing and evolving every day with new technologies and tools.So the team requires a person who can keep a tab on changing trends in the market. Also he should have a keen interest in technology and able to adapt to technology, as and when needed.

6. Automation Expert
Automate the process end-to-end is also one the of DevOps practices. The role requires the DevOps Engineer to learn the required tools which are commonly used in the DevOps practice. Some of the popular tools are Jenkins, Git, Selenium, Docker, Ansible,Terraform.

7. A Handy Programmer
Ability to write and develop applications using coding languages. The DevOps Engineer should possess strong logical skills as the team might need assistance from development to quick fixes in the code. It is good and advisable for a Devops engineer to have familiarity with at least one of the programming languages like Python, Golang,Java etc.

8. Testing/QA skills
The DevOps Engineer role requires the person to have a good understanding of quality assurance. The role might require to occasionally performing some QA activities involving the framework. Understanding of the QA tools is a big plus as it helps to mitigate the problems faced by the QA team.

9. Deployment strategist
The DevOps Engineer should possess a strong knowledge of continuous integration practice. In simpler terms, the aspiring DevOps Engineer should have excellent knowledge of the deployment process. Some of the tasks involved in the deployment process are server configuration, maintenance, fixing integration issues.

10. Support and Maintenance
The DevOps Engineer is not limited to production deployment. To monitor the issues on the live server requires maximum attention. And to make sure that the application is glitch-free, the DevOps Engineer requires excellent troubleshooting skills.

11. Customer Centric approach
The DevOps Engineer at times are also involved in directly interacting with the end-customers and getting requirements from them.Hence a good Devops candidate should have the ability to handle and deal with global customers and get more business and revenue for the company when needed.

12.Security knowledge
Last but definitely not the least it is to ensure that the application and infrastructure is protected from any malicious attack from outside. And for that DevOps security comes into the picture also known as DevSecOps. Several parameters need to be taken into account to build a robust software application. The DevOps Engineer needs to have a stronghold on software infrastructure, cloud security, and other DevSecOps best practices.

Conclusion The DevOps role demands the aspiring Devops to be a `Master of All`. The DevOps is a promising field but requires an in-depth understanding of the software lifecycle, related tools, and the best practices in the market. The field is evolving and can be a great career option.

The post Understanding the Role of DevOps professional in 2024 appeared first on DevopsCurry.

Understanding Cloud Native in 2024 : An Overview

Shiwani Sharma — Thu, 28 Mar 2024 05:39:56 +0000

Understanding Cloud Native

Cloud Native;This technology is all about skill, speed and improving the way of designing a very important system of business. The procedure of business is developing from facilitating the skill of business to existing some strategic modification that helps to stimulate the speed and growth of business and instantly it provides the ideas to the market. There are some features and pillars or points that procure the bedrock for cloud-native systems that are the Microservices, Containers, Backing services, Automation and the last one is Modern design. Cloud-native is one of the important themes in software development and it is the outlook of software development. It has changed the procedure and the way we understand the operating software product, deploying, developing.

Cloud-native affects the operation of your application, design, deployment and enactment. This provides all this not only operating the prevailing application and many more. Providing the benefit of the cloud computing model, the cloud native is the way to create and operate an application.

What is the Cloud Native Computing Foundation?

CNCF (The Cloud Native Computing Foundation) that is developed in the year 2015 which is an open-source foundation that facilitates the adoption of cloud-native computing and that motive is to organize a society that is vendor irreligious for the developers, IT technology and the service providers to work together as an open-source people.

You can utilize cloud-native computing foundation as open-source software as well as many other technologies to create and deploy applications on some platform-like cloud computing, some of the technologies are microservices, containers, service mesh etc. It also conserves some of the branded technologies and assures them to use them properly for the society elements.

What is Cloud Native Architecture?

It’s an open-source software foundation that consists of some of the big organizations or platforms like Cisco, IBM, Google, VMware, Intel etc. And it’s main function is to be assigned for creating cloud-native computing universal and bearable. Some companies require a software company and it is not necessary of having a software business for that, so for that Cloud Native Computing Foundation is required. Cloud-native permits to work rapidly for all the software and IT companies. You can establish software in the house as well all the people who belong from the business to near partner with the people who belong from IT by accepting the technologies of cloud-native, this contributes sufficient benefits to their clients.

Benefit of Cloud-Native Application

Image Credit: https://www.xenonstack.com/blog/cloud-native-architecture

There are many benefits of cloud native application, some of the benefit we are going to discuss below:

Provided customer satisfaction: Adding more characteristics and giving more speed and creating customer engagement and employee experiences is one of the important benefits of cloud-native applications and by this the customer and it also permits you to Enhance the experience of the customer. Customer can approach the application faster and accurately and by that it impact a positive response to the customers.
Decreased the expenditure: Many of the organizations are utilizing Kubernetes for containers and it operates resources in the cloud for being an open-source platform. At last by all this, it decreases the expenditure and it is beneficial for the organization.
Ease of Management: By utilizing some of the platforms like Azure function, AWS Lambda, on these platforms no one have to take tension and not necessarily about managing as like allocating storage, configuring networking etc.
Cost Efficient: Cloud-Native application helps the organization to improve their infrastructure costs. There are many services that helps to decrease the infrastructure expenses such as pay when you are using the pricing model, auto scaling, resources optimization tools etc. Cloud native infrastructure also helps to decrease the maintenance cost, backup cost and development etc.
Enhanced Security: One of the best benefit of cloud native application is it help to enhanced the security. Though we know CI/CD pipelines can be utilized in the workflow of cloud-native development and these pipelines automate the process of testing, building, deploying applications etc. that will help to enhance the security. Cloud-native has the dynamic scalability that means it can scale dynamically based on demand using the platform container orchestration like Kubernetes. This scalability permits the organization to respond to vary workload while maintaining security.

Conclusion: The journey of cloud native is not merely a technological shift, it represents a cultural transformation. It encourages collaboration, embraces automation, and fosters a mindset that values resilience and adaptability. Cloud native technology is all about skill, speed and improving the ways of designing a very important system of business. The procedure of business is developing from facilitating the skill of business to existing some strategic modification that helps to stimulate the speed and growth of business and instantly it provides the ideas to the market.

The post Understanding Cloud Native in 2024 : An Overview appeared first on DevopsCurry.

Nine Best Practices for a Successful Devops Implementation in 2023

Fri, 28 Oct 2022 14:12:10 +0000

Successful DevOps Implementation: Nine Best Practices in 2023

The benefits of Devops implementation are clear; organizations that embrace the shift to DevOps release more capabilities, faster releases and experience fewer performance issues.

However despite the obvious advantages, a DevOps transformation isn’t an endeavour to be taken lightly. As Ian Head, research director at Gartner, predicted, “90% of I&O organizations attempting to use DevOps without specifically addressing their cultural foundations will fail.”

So, if your organization has decided to take the plunge and implement DevOps based transformation project. This is an article that will try and help you guide your thoughts on the best practices, as you move ahead on the Devops implementation project.

1. Do not jump the Bandwagon

DevOps is not a magic solution or a magic wand for all the problems that the company is facing. It is a long-term solution for the transformation.
Large programs and larger transformation projects are time-consuming and they take a considerable amount of resources – both time and money. It is important that the organization understands the requirement of a transformation program and lays down the foundational rules for the same.
Automating everything in one shot is always not the priority.
Securing the acceptance of the key organizational POCs forms a crucial part of the program. While internal acceptance is critical, it is also imperative that a dip-stick survey and understanding from the external stakeholders is also needed.

2. No more DevOps engineers as a Role

DevOps was initially introduced and promoted as a software development methodology which will aid agile development process. However, as the days passed the approach transformed itself into a role.
The DevOps Engineer today only manages the infrastructure. For many organizations, implementing DevOps means, scaling up the team of DevOps engineers. This does not help.
If DevOps is maintained as a transformational approach rather than a fancy role or profile, then the enterprises could see a huge success in the implementation of the program.

3. Build a Collaborative Culture

A DevOps team structure requires a change in the way everyone interacts within the organization. Proper communication is essential for a successful DevOps implementation.
With so many departments and teams collaborating and working together to meet a specific goal, good communication is the key to avoid errors and reducing your chances of failures.
Hence one should try to adopt or build a collaborative culture and open communication within teams to ensure the success of the Devops transformation process.

4. Conduct Benchmarking

Before engaging professionals for a transformation program based on the DevOps methodology, any organization must conduct a benchmarking exercise. It helps if these exercises studies multiple things such as number of processes automated, the number of engineers required, the amount of infrastructure needed to scaleup, and much more.
This exercise will not only justify the spending of time and money by the organization, but it will also help arrive at a starting point for the project.

5. Define the Performance metric

Like a science experiment is not fruitful, if it does not have an objective the transformation program will also be not fruitful if there are no performance metrics defined at the beginning.
The relevant project teams involved could work with the relevant stakeholders to arrive at the parameters and then work backward to achieve them through the DevOps based transformation software development methodology.

6. Continuous Monitoring and Feedback loop

This not only helps avoid any crisis but also helps maintain healthy progress in the development process.
Before the DevOps era, many research prove that developers generally did not monitor their application performance in production and assumed that any failure is related to infrastructure on which it is run.So, it is crucial for development teams and operation teams to check and monitor the performance of the application.
Also post monitoring the feedback that you get from internal teams or your customers, also plays a crucial role in DevOps implementation process and is a deciding factor for the success of DevOps transformation.

7. Dashboard automation

An automated dashboard not only helps the engineers keep a track of the SDLC process, but also helps maintain an active database of changes made to the server and database over a period.
This dashboard will give you data with in-depth understanding and provide reports of every operation during the DevOps transformation process.
It also helps to monitor the entire DevOps implementation process along with how effectively the DevOps teams are working together, integration of cloud automation toolchain and an overall platform health status.

8. Getting the right DevOps toolchain

It is important to leverage all the DevOps based tools such as Kubernetes, Docker technology, Jenkins, Git and others. These tools not only give the project manager a sense of control over the project but also help automate mundane tasks.
It is advised that the database technology that is used in a large DevOps project helps the company scale-out and not scaleup.
As per Devops experts, all the toolsets that you choose should be compatible with your system, which is a good configuration management practice.
A good selection of tools helps minimize any conflicts that can occur between development teams and operations.

9. Modularization of Architecture

There are a lot of legacy applications that will change as a part of this transformation project involving DevOps.
So modularization of legacy applications will not only help modernize the environment, but it will also reduce a lot of costly overheads.
Hence moving from a legacy monolithic architecture to a modular Microservices approach will help in the long run and also ensure a successful Devops implementation

While this is an indicative list of the possible best practices to be kept in mind while a Devops transformation project, the actual list of best practices is arrived at based on the current setup of the organisation, level of automation and tools used, collaboration and inter-communication within teams and also volume of the project.

The post Nine Best Practices for a Successful Devops Implementation in 2023 appeared first on DevopsCurry.

How to pick the best Cloud Partner for your business in 2023

Fri, 19 Mar 2021 13:56:05 +0000

Best Practices to follow when choosing Cloud Vendor

Introduction

The introduction of cloud technology has benefited many companies with fewer expenses and improving operational performance. Implementing a cloud approach and strategies helps the business to deliver digital innovation that has become the influencing factor for the business.

Though many cloud services and providers are offering different features for different sizes and areas of business. But the key concern is How you can choose the right cloud vendor?, that can help you to leverage all its benefits within your budget and meets your business needs.

The absence of a common standard framework or process for assessing Cloud Service Providers (CSPs), combined with the fact that no two CSPs are the same, also complicates the process of selecting the one that’s right for you.

Also the field has a lot of competitors in it, including the big three — Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) — not to forget the local and niche players.

Cloud Trends Across the Globe

Below data has been taken from `Flexera 2020 State of the Cloud Report`

Increase in Public Cloud Adoption : we do see an increase in public cloud adoption YoY, with more and more enterprises trying to get on Cloud or even Multi-cloud models.

Image Source: https://www.flexera.com/blog/industry-trends/trend-of-cloud-computing-2020/

Enterprises are growing their Public Cloud expenditure: Cloud-first policies and cloud migration are at the top of mind for senior IT leaders, particularly in enterprise environments. As a result, enterprises are rapidly increasing their public cloud spend and also workload volumes.

How to choose the right Cloud vendor for your workloads?

The base for choosing the right cloud vendor may vary from organisation to organisation, as each organization has it pwn unique business requirements and needs for the cloud. So firstly, you have to understand the need of your organisation, why you want to go for the cloud, and what type of cloud service you want to avail.

Below we are sharing some of the key points that you might consider while evaluating the cloud vendors for your business needs.

Business requirement

First, you need to understand your business requirement in detail. Then you should look for the list of providers offering that business needs. Each vendor has their set of specifications that they will provide and you can choose the plans accordingly. In this way, you can easily shortlist the providers within your operational cost.

Cloud Vendor Cost

If you are already leveraging cloud services and want to migrate to another cloud platform that can be costly. So choosing the right plan at the start is important. Before opting for any service, check for your infrastructure budget and compare it to the vendor’s pricing plans.

Data Security

Before integrating with any cloud service you have to check how secure is the cloud and understand its data security policy. If you are dealing with crucial data then security is a must and needs to be ensured. If you have a massive amount of data, then the location of the server(DC) also plays an important role to avoid the overhead for uploading and downloading the data.

Technology Advancements

Check whether the cloud provider offers you the latest technology or the technology that is compatible with your business needs. If you want to enroll in the latest technology then you have to make sure that your company has the in-house team well-dipped and trained on that technology.

Support

With the huge amount of data on the cloud, there can be many cases where you might need assistance from the cloud providers regarding any issue. It is better to have a vendor that provides 24X7 support. Cases like migration and deployment required professional assistance or a third-party that can provide you assistance.

Reliability

Before you go for any particular cloud provider you should check its reliability from the past trends. You must be aware of how the cloud vendor can handle unexpected downtime and data recovery during a disaster.

Certifications & Standards

Vendors that comply with recognised global standards and quality frameworks demonstrate an adherence to industry best practices and standards. While standards may not determine which service provider you choose, they can be very helpful in shortlisting potential suppliers.

Factors to help you choose the right Cloud service provider

Many factors drive your choice for choosing the right cloud vendor. But the one who can customize its services as per your business needs is the one to approach. Below are some reasons that will help you in choosing the right provider.

Services offered- As clouds are now offering on-demand services and costing for those services only. Cloud services are not limited just to store your data but also provides you computing solutions for infrastructure and IT networking. It provides hosting different applications on different platforms. So make sure what services you are looking for that will help you in selecting the right cloud provider.
Ensures faster software updates- If you are going for any cloud vendor, they provide you with easy and instant software updates. If any latest update is available for the services or applications that you have opted for will get an update in a few clicks. With cloud services, you will always be up-to-date in terms of the software version.
App performance- Before you choose any cloud provider, make sure that your application will be able to run on that cloud properly. As applications may work differently in some environments and are suitable for a particular architecture. If an organization goes for a third-party, it will surely help in avoiding common mistakes sharing the workload.
Consulting engagements- The consulting services may vary from vendor to vendor. Some cloud vendors ensure that they provide the best-consulting arrangement for their clients. It is one of the most important factors that allows the organization to choose their vendors. It can be a crucial factor for organizations if they lack in-house expertise for providing consulting support for your applications. Having a third-party at your disposal can help you bridge the knowledge gap.
Disaster recovery- With a lot of data and workload, it may be possible that cloud services may hinder and lead to disaster situations. Thus organizations want their cloud service provider to provide real-time disaster recovery solutions. Organizations should focus on this factor and investigate the process in action offered by the providers during data and resource recovery.
Multi-Cloud facility- With the advancement in technology and the need for different platforms to host applications that require different infrastructure requirements for various cloud vendors. It allows the organization to migrate easily from one environment to another with great ease. In those cases, incorporating a multi-cloud solution to your business can be the best fit and provides you with a lot of various features.
Service levels- If you are opting for a cloud service provider then you must look into the SLA they are providing. You must have a clear contractual relationship with your cloud service provider. You should consider the security of your data being hosted whether it has GDPR policies in place or not. You must have a legal contract that will back you up in case of any mismanagement.
Easy manageability- before choosing your cloud provider, you have to make sure that it allows you for easy management and integration of services and applications you have at your end. As different providers support different tools and can integrate with different services. Also, you have to focus on how much time and efforts are required by your team to manage large scale applications on the cloud infrastructure. This can be an important deciding factor for your organization.
Scalability- for any organization, the data and demand for the resources may vary from time to time. There may be situations when the company will no longer require particular resources from the cloud provider. Then the cloud provider will be able to de-provision those resources and ensure easy scalability during the changing company demands. Also, in case of rising storage or resource demand, the cloud provider will be able to allocate those features at that instant.
Easy workload- it is a good option to choose a cloud service provider that will handle everything from the network, infrastructure to handling applications within a cloud infrastructure. It is more efficient than to have a team at your end and get it managed from a third party without posing a workload on your team. So look for all these facilities before choosing the cloud provider.

Conclusion

While the above points, might not give you all the information you need, but they can help you build a solid analytical framework to use when you are determining which Cloud vendor you should trust with your data and applications. You can even add granularity by doing a thorough analysis of your organization’s needs and requirements to discover additional factors that will help you make an informed decision.

Also we should think about long-term to avoid lock-in – avoidance of proprietary technologies and a clearly defined exit strategy to avoid a lot of headaches down the line.

The post How to pick the best Cloud Partner for your business in 2023 appeared first on DevopsCurry.

DevOps 2021: Top 20 MongoDB Interview Questions for beginners

Tue, 16 Mar 2021 08:00:03 +0000

Basic MongoDB Interview Questions for beginners

1. What is MongoDB?

Ans: MongoDB is an open-source NoSQL, document database. It provides high availability, high performance, and easy scalability.

2. Explain ‘Namespace’ in MongoDB.

Ans: The process of concatenating the collection name and database name is called the Namespace. MongoDB stores the BSON objects in the collection.

3. What is meant by sharding in MongoDB?

Ans: The process of storing huge data across multiple machines is termed Sharding. Actually, it’s a MongoDB approach to satisfy the demands of data growth. The data partition of Sharding will be horizontal in a database/search engine. The partition of each data will be termed as shard and database shard.

4. How can you view the connection used by MongoDB?

Ans: To view the connection establishment by MongoDB, the following command will be used.

db_adminCommand(“connPoolStats”)

5. Explain the Replica set.

Ans: The group of Mongo instances can be called a Replica set which actually hosts the same data set. In this set, one node must be primary and others are secondary. From primary to secondary, all the nodes will replicate.

6. Write the syntax to create and drop the collection in MongoDB.

Ans: Syntax for creation of collection:

db.createCollection(name,options)

Syntax for dropping the collection:

db.collection.drop()

7.Explain the role of a profiler in MongoDB.

Ans: The roles and responsibilities of a MongoDB database profiler is used to display the performance characteristics of every operation against the database. The profiler is used to find the queries, which are slower than they should be.

8. What is the procedure to move the old files in the moveChunk directory?

Ans: We can move the old files in the moveChunk directory, during the normal shard balancing operation, the files are changed as backups and it will be deleted after the operations are done properly.

9. How can we provide safe backups in MongoDB?

Ans: To perform safe backups in MongoDB, Journaling is the key feature.

10. Mention, what is objectID composed of?

Ans: The objectID is composed of,

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Timestamp
Client Machine ID
Client Process ID
3 byte incremented counter

11. What is the command syntax for inserting the document?

Ans: The syntax to insert the document is:

database.collection.insert(document).

12. How can you inspect the function of the document?

Ans: There is an efficient way to inspect the function of the document, without any parentheses, the function must be invoked.

13. Write the command to view the Mongo through a Link?

Ans: To view the Mongo by using the link, we need a command, db._adminCommand(“connPoolStats”)

14. Write the syntax to use an Index in MongoDB?
Ans: MongoDB provides an inbuilt method called createIndex() that allows user to create an index.

db.COLLECTION_NAME.ensureIndex ( {KEY:1} )

15. Explain what do you mean by GridFS in MongoDB.

Ans: GridFS is used for storing, retrieving an extensive amount of files such as Audio, Image, Video files. The GridFS possesses the default value to store the files as fs.files and fs.chunks to store the metadata in the file’s chunks.

16. Enlist the alternatives for MongoDB.

Ans: These are the most common and popular alternatives to MongoDB.

Cassandra
CouchDB
Redis
Riak
HBase

17. Enlist the different languages that are supported by MongoDB.

Ans: MongoDB provides the official support for drivers of C, C++, C#, Java, Node.JS, Perl, PHP, Python, Ruby, Scala, Go, and Erlang.

18. Explain the structure of the objectID in MongoDB.

Ans: The objectID is BSON type,

4 bytes value representing seconds
3-byte machine identifier
2-byte process id
3 byte counter

19. What is an index in MongoDB?

Ans: An index in MongoDB is similar to how indexes work in other database systems. Indexes are applied at the collection level, and can store the value of a specific field or set of fields, ordered by the value of the field.

20. Does MongoDB support ACID transaction management and locking functionalities?

Ans: No. MongoDB does not support default multi-document ACID transactions. However, MongoDB provides atomic operation on a single document.

The post DevOps 2021: Top 20 MongoDB Interview Questions for beginners appeared first on DevopsCurry.

Exploring Cloud Object storage for your Storage needs

Mon, 15 Mar 2021 20:50:58 +0000

Understanding Cloud Object Storage in 2023

What is Cloud Object Storage?

Cloud offers an Infrastructure as a Service (IaaS) platform that enables you to store a huge amount of data in either Block storage or Object storage formats. Deciding which storage format will suit your business needs can be an important part. Both Block storage and Cloud storage works on a different approach and works well for different scenarios.

Before moving to Object storage, we should know about what a Block object is and how it is different from Cloud object storage. Block storage is the oldest form that stores the fixed-size chunks of data that can be stored on independent disk drives. These distributed chunks of data blocks can be identified by their address without any associated metadata. This type of storage works well when application and data are both stored locally. But with the introduction of cloud and open-source applications, many organizations are now preferring to store their data on Cloud which offers flexible and durable data.

Object storage however unlike block storage stores unstructured data in the cloud. It does not limit the file system with information and stores unlimited metadata along with file bits into one item which can be referred to as an object.

Each object has a 128-bit unique identifier which helps in locating the object over a distributed system or even if it is not present in the same physical location of the requesting system. Object storage adds comprehensive metadata to the file, eliminating the tiered file structure used in file storage, and places everything into a flat address space, called a storage pool.Object storage can be easily stored at multiple sites and can be accessed via application program interfaces, HTTP, and HTTPS. Some of the Cloud object storage options are- Amazon S3, Rackspace Cloud Files, Azure Blob Storage, and Google Cloud Storage.

Block vs Object Storage

Image Credits: https://www.bunnyshell.com/blog/what-is-object-storage/

There are many differences when we consider both storage types. Even there are some reasons why Object storage is preferred over Block storage in this era of cloud computing. Due to the distributed and open-source environment, we must make our data flexible and available to all accessible clients, which is why Object storage is important. Below are some differences between Object and Block storage.

With Block storage, the data is stored into fixed chunks without any metadata to provide content to the stored data while with Object storage, the entire file is stored as an object with unique metadata and its unique identifier. You can store as much metadata of any type which makes object storage customizable.
If you are using Block storage then you can access it directly by the operating system as a mounted drive volume but if you cannot do it with Object storage as it will somehow degrade the performance. There is little overhead in accessing object storage.
With Object storage, you can easily handle data growth while with Block storage you can handle up to some petabytes else the Block storage will face durability issues as it has hard infrastructure limitations.
With Object storage, you will get the advantage of resilience as multiple copies are stored over a distributed system to prevent data loss. It helps in running an application if one node is unavailable. Also, there is no need for expensive hardware to store multiple copies as the data protection is built-in for Object architecture. But with Block storage, we have a RAID facility instead of a resilience feature. This feature does not come built-in with Block storage but is added over time.

Comparison between Object and Block storage

	Object Storage	Block Storage
Performance	Works well for large and complex data.	Works well for database and transactional data.
Geography	Data can be stored at multiple locations with multiple copies over the distributed system.	It is preferred to store data and applications at the same location to avoid latency.
Scalability	Can accommodate data beyond petabytes.	It has a hard system infrastructure and can expand up to a few petabytes.
Analytics	Data can be easily organized and retrieved.	No metadata present.

Image Credits: https://next.nutanix.com/community-blog-154/object-based-storage-defined-why-and-when-you-need-it-28178

Benefits of Object Storage

Though the concept of Object storage is new and it is trending among companies due to its distributed data facility. Below are some benefits of using Object storage over Block storage.

1. Ensures scalability

Object storage ensures unlimited scalability as the system can be easily scaled out by adding new nodes to the distributed systems. This storage can easily expand data to any amount without any restriction. It can also benefit static data and is ideal for digital archives.

2. Ensures fast retrieval and recovery

With the help of unique metadata and ID, data retrieval is much easier from a distributed system. You do not need to know where your data is located. Object storage contains unrestricted metadata that enables storage administrators to define their security policies to retain, delete, and preserve the stored data. It helps in reinforcing the data and provides better disaster recovery methods.

3. Cost-effective

If you want to store a huge amount of data with the future scope to scale that data then Object storage is the better option to avail. You do not require expensive hardware to store your data but you can store it on distributed systems to cut short the hardware cost. In case, if you have a private cloud facility then the cost will be lower than expected.

4.Comes with less limitations

Unlike Block storage and file storage, Object storage comes with fewer limitations. You can access the Object storage in different ways across locations and regions, on-demand which is not possible in the traditional storage options. You can use any number of attributes for metadata.

Object Storage Use Cases

The prime use cases for object storage generally include storing large amounts of data that businesses need to access only periodically.

Storage of unstructured data like music, image, and video files.
Good option in situations where you need data to be stored once and infrequently accessed, such as backups, database dumps, and log files.
For storing large data sets. Whether you’re storing ecommerce, social media or financial data, or multimedia files such as photos and videos, Object storage can be used as your object store.
Object storage is also ideal for some HPC and AI workloads, machine and deep learning training data and also for storing data from big data analytics using tools like Hadoop, Spark, Flink, Hive etc
Post pandemic we see a lot of video streaming start-ups in EdTech, Media streaming and Gaming etc. Storing large volumes of data for them translating into terabytes and petabytes , object storage is again a handy storage option.

Common Cloud Storage Tools

AWS S3
Google Cloud Storage
Azure blob storage
DigitalOcean Spaces
Alibaba OSS
StackPath
Oracle Storage
LakeFS
OpenIO
IBM Cloud Storage
Cloud Files by Rackspace

Conclusion

With the fast adoption of Hybrid-cloud model across organisations, the need to store data is also growing at a fast pace. Also with technology like Smartphones, smart wearables, cameras, online e-commerce portals etc, we have access to al sorts of data about individual than we ever had in the history of mankind.

But even if we have access to all these types of data, how do we store them, safely so that it available on a click on-demand. This is where the Cloud object storage options in the market come to the rescue. Given that they are cost effective and also offer benefits like easy scalability, resiliency, data replication, availability across regions and protection against outages, they make a very compelling and effective use case for storing your data into Cloud.

Except few scenarios where you might be bound by Legal or Compliance issues, they do offer the best value for money service option.

The post Exploring Cloud Object storage for your Storage needs appeared first on DevopsCurry.

DevOps 2021: Key AWS Services to consider in 2021

Fri, 15 Jan 2021 08:39:38 +0000

Key AWS Services to consider in 2021

AWS (Amazon Web Services) has gained popularity in the cloud computing market. After implementing it, you do not have to spend on hardware and infrastructure needs. It offers you pay-per-use services allowing you to purchase appropriate resources. AWS has to offer more than 200 services with IaaS, PaaS, and SaaS offerings.

Using AWS services, we can create scalable applications and software which are designed to work with each other. It offers you robust, secure, and easily operable tools for managing databases, storage, and so on. These services are effective building blocks for developing and deploying cloud applications.

AWS offers immense featured resources, including infrastructure to machine learning. They ensure maximum usability and optimization of the application’s performance. AWS comes with more features than any other provider providing free tiers access to the AWS console. It is designed for those who are unaccustomed to software development utilities. AWS allows you to deploy web applications within seconds without provisioning servers.

Benefits of using AWS services

It enhances the flexibility and scalability of IT resources.
It provides a cost-effective infrastructure solution.
It ensures quick upscaling and downscaling of your infrastructure.
It helps in the efficient provisioning of resources.
It makes your infrastructure flawless.
Using AWS you can deploy your application in multiple regions across the globe with just a few clicks hence providing a lower latency and better customer experience at minimal cost.
AWS also provides APIs, in different programming languages to ensure that you can manage your infrastructure programmatically.
AWS provides an end-to-end approach which secures and hardens your infrastructure.

AWS services help in accelerating cloud performance and improves the quality of the operation. Below is the list of AWS’s services to make your development and deployment process more comfortable and efficient.

Key AWS Services to consider in 2021

1. Amazon EC2

Amazon EC2 allows you to create virtual machines rather than spending on expensive physical servers. It helps manage other server features like storage, security, and ports, ensuring scalability within the cloud environment. There is no need to spends hours creating servers with your chosen operating system. It will provide you various functionalities to maintain the server and allow developers to focus mainly on the deployment. Below are some features-

It is a simple web interface that allows you to access and set up the computing assets seamlessly.
You can have complete control over the resources.
It enables you to increase and decrease the computing powers within no time.
It provides you root access along with all the features on any other machine.
It comes with adaptable cloud hosting.
It allows you to choose your choice of operating system and software packages.

2. Amazon RDS (relational database services)

Amazon RDS allows you to make database configuration, management, and scaling easy and efficient in the cloud environment. It will enable you to run a relational database without worrying about provisioning resources for infrastructure management. It provides a dedicated instance for the database, which is handled by the AWS support team and supports various database engines. It also helps in reducing the maintenance time for the database servers. Also, you can migrate or reproduce your existing database to Amazon RDS. below are few features-

It is cost-effective and can be managed thoroughly.
This service is highly scalable and resizeable.
It helps in lowering administration efforts.
It enables you to perform automatic software patching.

3. Amazon Simple Storage Service (S3)

This service works well when we talk about data stored within the cloud as they ensure infrastructure security. It comes with PCI-DSS, HIPAA / HITECH, FedRAMP integrations, and distributing the data among different regions to keep the data safe from being compromised. It ensures data availability that you can access it with a click and managing almost zero latency. It protects your data from failures and potential threats. It can be easily implemented by any company irrespective of the data size. Below are features-

It ensures high data availability.
It provides you data control with secured infrastructure.
It ensures data backup and recovery process is in place.
It enhances system performance with third-party integration.

4. Amazon VPC (Virtual private cloud)

Using a private cloud will ensure security as the data is available to those authorized to use it. This service will create an isolated space on AWS, which acts as an extra security layer for the underlying data and resources. You can have complete control over your environment, including subsets creation, route table management, and network access points. Below are the features-

It ensures data protection and reduces unnecessary risk.
It allows you to access information securely.
You can have control over VPC.
It helps in filtering the inbound and outbound requests.
It provides flexible dashboard management.

5. AWS Lambda

AWS Lambda helps in supporting the demands of your development and make it compatible with the underlying infrastructure. This instance provides a competent environment for current developments. It enables the developers to focus on coding, and the necessary resources will be taken care of by AWS. Lambda service will scale your code with high availability and run the code without the EC2 server. Below are the features-

You do not have to worry about managing the servers.
You do not have to provide extra administration.
It is a cost-effective service and allows you to pay for the required services.
It reduces the complexity and overhead of management.
It ensures the automatic scaling of the application.

6. AWS Autoscaling

AWS auto-scaling allows you to expand your applications and make them available for thousands of users. With auto-scaling service, you can manage the multiple servers that handle the incoming traffic demanded by the application. This service does not cost you anything but charges you for the number of running instances. This service will manage your application and tunes its capacity to maintain a stable performance efficiently. It offers you a feature-rich user interface for creating scalable plans. Below are the features-

It ensures predictive scaling along with the provisioning of EC2 instances.
It can easily integrate machine learning to detect daily patterns.
It handles seasonal spikes of traffic.

7. AWS IAM

AWS IAM helps in securing the access and management of involved resources securely. It allows you to create and manage users while maintaining their access to different resources within your infrastructure. It does not require extra costing and will be charged for the used services only. These services will protect your sensitive data and resources. It can be implemented as an extra layer to your security criteria.

8. Amazon ElastiCache

Amazon elastic cache is the memory caching system of AWS that supports the Memcache and Redis. This service helps set up, run, and scale the popular open-source and in-memory storage in the cloud. It helps in operating data-intensive applications. It enhances the database’s performance by evaluating data from high throughput and low latency data stores. It works well for real-time use cases that include caching, session, and queuing.

9. Amazon Kuberbetes Services (EKS)

AWS Kubernetes services allow you to run the Kubernetes on AWS efficiently. With EKS, you do not have to worry about installing and operating a Kubernetes control plane and worker nodes to run Kubernetes. EKS serves as a Container as a Service that simplifies the Kubernetes deployment on AWS. It allows the administrators to focus on the cluster and their workloads. It ensures that you will get a complete Kubernetes advantage without having an in-house expert to maintain the infrastructure. It helps in automating the load distribution and makes parallel processing faster. Below are the features-

You do not have to install and maintain your Kubernetes control plane.
It allows you to run Kubernetes tooling and plugins.
It simplifies the building process of cloud-native architecture in AWS.

10. Amazon ELB (Elastic Load balancing)

This service helps in distributing the load among different instances to ensure availability. It means if one instance is busy or failed to work, the other instance can handle the incoming traffic. This service helps in avoiding the server hotspots. This service provides three load balancers- application load balancer, network load balancer, and classic load balancer. Below are the benefits-

It helps in monitoring application performance.
It comes with robust security features and making applications fault-tolerant.
It ensures automatic upscaling and downscaling.
It provides user authentication to protect data.

11. Amazon Redshift

Redshift is a data warehouse service that offers you industry-leading performance that provides you with cost-effective data analysis. It helps store a massive amount of data, which can be easily scaled up and scaled down as per the changing business requirement. It allows to power mission-critical analytical workloads. AWS manages the clusters entirely, and this database shows third-party compatibility. Below are the features-

This service is cost-efficient and ensures fast performance.
It takes continuous backups and comes with data lake integration.

12. Amazon Simple Notification Service (SNS)

This service allows you to send a notification to the users irrespective of their platform. The notification may be an email, text messages, or HTML endpoint messages. It helps to decouple the microservices, distributed systems, and serverless applications. It is an event-driven computing hub that alerts the subscribers by automating the tasks. Below are the features-

It ensures the high durability of messages.
It ensures services that are fully managed and keep the data secure.
It can be easily integrated with any application.
It provides low-cost infrastructure.

13. Amazon Athena

This service is for an online query that helps in simplifying the process of data analysis. It is a serverless service without configuring the infrastructure and can focus on analyzing the data only. You also do not have to worry about the data uploading for the service as it works directly with the data stored in S3. below are the features-

It comes with a user-friendly console.
It allows you to create queries using the SQL language.
It is cost-efficient as you have to pay for the used services only.
You can integrate this service with AWS Glue to enhance query performance.

14. Amazon KMS (Key Management Service)

This service will allow you to create and manage the cryptographic keys and control how to access them within your application. It uses hardware security modules to protect the keys. You can integrate this service with AWS CloudTail that provides you access to key usage logs to meet the compliance needs.

15. Amazon DynamoDB

This service offers you the complete NoSQL cloud database platform that allows you to store, process, and access the data to ensure the application’s high performance. You can use DynamoDB to scale up for large datasets. Below are the features-

It is fast and serverless.
It manages the in-memory cache.
It ensures low latency.
It helps you to manage mission-critical applications and workload.

You can also refer to our three part series on AWS Services Terminology to know more about other AWS Services

The post DevOps 2021: Key AWS Services to consider in 2021 appeared first on DevopsCurry.

DevOps 2021: A preview of Service Mesh and why you should use them

Wed, 09 Dec 2020 14:08:08 +0000

Understanding the basics of a Service Mesh

What is the service mesh?

A service mesh is a method that ensures the various components of an application share data with each other efficiently and can adapt to the unique nature of distributed microservices. It is a configurable infrastructure layer that is built into an application that checks how different parts of an application interact with each other. This process ensures faster, reliable, and secure communication between the containerized and temporary application infrastructure services. It helps in optimizing service communication. The mesh service keeps track of the routing rules and handles the traffic dynamically to fasten the delivery.

A service mesh helps in resolving the service overload problem within the microservice architecture. It helps in optimizing the working of functions to route requests from services to improve communication between services. If you are not using a service mesh then you have to provide a logic that governs the service communication and abstract it to the infrastructure layer. You can use service mesh when the service communication complicates. Using service mesh, the request between the microservices is routed via proxies that fall in their infrastructure layer.

You have to be modular if you want your applications to communicate while running on container platforms. This is where service mesh becomes relevant for companies to make microservices more flexible.

Why use a Service Mesh

So there are some key challenges that you need to face when following a Mocroservies kind of model and this is where the service-mesh, come to your rescue.

Typical challenges of a Microservice architecture are:

Service Discovery: a big issues is how service A needs to find out how to talk to service B.
Load Balancing: how to route and distribute incoming requests among multiple instances of a service (e.g. multiple containers inside a cluster).
Fault Tolerance: how to detect and fix the failures (health checks) and mitigate problems (circuit breaker) automatically.
Zero-Downtime Deployments: how to avoid failures during a service deployment when using canary, blue-green deployment strategies.
Security: how to ensure service-to-service authentication and authorization, and encrypt data in transit.

Benefits of using a Service Mesh

Service Mesh simplifies the working of microservices within the infrastructure. It offers a centralized plane to apply policies instead of coding directly into the application’s business logic. Below are some of the reasons why you should adopt a Service mesh within your DevOps framework.

If you are working on an application consisting of a small number of services then applying service mesh can be extraneous. But if you are dealing with a limitless number of microservices then service mesh is a boon. It will save you a lot of time writing infrastructure code to address resiliency, security, and observability.
You can enhance productivity and efficiency by applying service mesh to address problems in an automated way rather than writing a lot of code for it. It reduces the effort for writing infrastructure code for service-to-service communication. Service mesh offers tools for developers so that they can focus on the application logic only.
With the help of service mesh, you can get the visibility of the containers and the microservices. This visibility allows you to optimize and debug your system at the service-level. You can even expand the system’s capability from time to time to ensure performance and stability. With the help of sidecar proxies, developers can have the right visibility without hindering the performance.
Service mesh ensures faster time-to-market by using sidecar proxies with each microservice and connecting them. It allows the developers to be productive rather than unnecessary function coding for each service.
A service mesh is important for microservices security and enforces security measures without affecting the application code. The security features also include inbound and outbound communications.
A service mesh is platform-independent and can run in any container-based architecture. It allows you to track problems and ensure that services are available with properly distributed routing tables.

Image Credit: https://docs.microsoft.com/en-us/dotnet/architecture/cloud-native/service-mesh-communication-infrastructure

Service mesh options for Kubernetes: Some of the common popular service meshes

Kubernetes and service mesh work well with each other as the use of service mesh reduces the extra workload and is suitable for more complex container architecture. You can establish a service mesh as a layer on top of Kubernetes in many ways. Some of the tools are mentioned below.

You can choose the right one as per your business needs.

Istio

It is an all-encompassing service mesh solution to the DevOps team. It was launched in 2017 with backup from Google, IBM, and Lyft. it is commonly used for Kubernetes deployments.
* It focuses on connections, security, control, and observations.
* It allows traffic management control that perfectly distributes the API calls and requests.
* It uses Envoy proxies to route the traffic and offers great performance.
* It allows you to split monolithic applications into small services without affecting the users.
* You can easily identify the system’s critical endpoints by using service discovery while working on Kubernetes.
* Istio handles authentication using the custom Kubernetes API which is easy to set up. Also, security is ensured by using a specialized user account.
* It offers several features that need to be handled with proper resources.
* This tool can handle complex microservice architecture.
* Istio supports fault injection and delays injection.

Linkered

Linkered was launched by Buoyant Inc. and is a service mesh commonly used for the Kubernetes framework. Its latest version was launched in April 2020 and is a stable version that is well adapted by the Kubernetes community. It is a standalone service mesh tool which does not require third parties for their management.
* It is compatible with all existing platforms and does not require much code change to run.
* It uses linkered-proxy as a service proxy.
* It allows monitoring and orchestrating canary and deployments in real-time.
* It shows high compatibility with ingress controllers and makes it more flexible.
* It offers a command-line interface that allows you to mesh with Kubernetes. With the help of a single linkered inject command, you can integrate the service mesh with your application.
* It is easy to install and brings the best performance.
* It is a non-invasive service mesh tool which does not require optimization once it is deployed.
* It improves security through mutual TLS encryption.

Kuma

Kuma offers solid service connectivity with the help of a modern and user-friendly GUI. It focuses on optimization to enhance performance. Kuma comes with open governance and is an Envoy-based service mesh. The latest version is 0.5.0.
* Kuma is Envoy-based which enhances flexibility during implementation.
* It supports backends that are compatible with OpenTracing and it allows you to use an external CA certificate if required.
* It allows users to designate policies for security, routing, observability with the help of single command.
* It ensures easy access to the compiled metrics along with fault injection and tracking ecosystem weakness.
* You can deploy low-level Envoy resources via proxy templates which improve supplemental control.
* It allows you to establish customized health checks.

AWS App Mesh

AWS App mesh provides application-level networking to make it easy for your services to communicate with each other across multiple types of compute infrastructure. App Mesh gives end-to-end visibility and high-availability for your applications.
* App Mesh utilizes Envoy, an L7 proxy and communication bus designed for large modern service-oriented architectures.
* App Mesh integrates with many AWS services like Cloud Map, Certificate Manager, CloudWatch, and X-Ray.
* AWS App Mesh help you to run and monitor HTTP and TCP services at scale.
* App Mesh provides consistent routing and traffic monitoring feature, giving you insights about the problems and the ability to re-route traffic after failures or code changes.

Conclusion:

As larger organizations globally transition to more autonomous teams developing and maintaining their own microservices, how can they ensure the necessary consistency and compatibility between those services without relying on a centralized hosting infrastructure? To work together efficiently, even autonomous microservices need to align with some organizational standards.

So a Service-mesh provides critical capabilities including service discovery, load balancing, observability, traceability, authentication and authorization, and also support for the circuit breaker pattern.

Currently the service meshes continue to rise in popularity and becoming a widely-used and critical component of the cloud native stack. With the current trend and adoption patterns, definitely service-mesh seem to have a good future like any other popular technology

The post DevOps 2021: A preview of Service Mesh and why you should use them appeared first on DevopsCurry.

AWS – DevopsCurry

An Brief Insight On Kubernetes Alternatives in 2024

8 Best Kubernetes Alternatives in 2024

An Brief Insight On Kubernetes Alternatives in 2024

Here are the top 8 Kubernetes alternatives for 2024:

Amazon Elastic Kubernetes Service (EKS)

OpenShift Kubernetes

Rancher

Google Kubernetes Engine (GKE)

Azure Kubernetes Service (AKS)

Cloud Foundry

Docker Compose

Nomad by HashiCorp

Challenges Leading Organizations to Seek Kubernetes

Conclusion:

Understanding the Role of DevOps professional in 2024

Roles and Responsibilities of a DevOps Professional

Who is a DevOps Engineer?

Roles and Responsibilities in the team

Understanding Cloud Native in 2024 : An Overview

Nine Best Practices for a Successful Devops Implementation in 2023

Successful DevOps Implementation: Nine Best Practices in 2023

1. Do not jump the Bandwagon

2. No more DevOps engineers as a Role

3. Build a Collaborative Culture

4. Conduct Benchmarking

5. Define the Performance metric

6. Continuous Monitoring and Feedback loop

7. Dashboard automation

8. Getting the right DevOps toolchain

9. Modularization of Architecture

How to pick the best Cloud Partner for your business in 2023

Best Practices to follow when choosing Cloud Vendor

Introduction

Cloud Trends Across the Globe

How to choose the right Cloud vendor for your workloads?

Factors to help you choose the right Cloud service provider

Conclusion

DevOps 2021: Top 20 MongoDB Interview Questions for beginners

Basic MongoDB Interview Questions for beginners

Exploring Cloud Object storage for your Storage needs

Understanding Cloud Object Storage in 2023

What is Cloud Object Storage?

Block vs Object Storage

Comparison between Object and Block storage

Benefits of Object Storage

Object Storage Use Cases

Common Cloud Storage Tools

Conclusion

Top 25 Docker Advanced Interview Questions in 2021

Docker Interview Questions with Answers (Intermediate/Advanced)

DevOps 2021: Key AWS Services to consider in 2021

Key AWS Services to consider in 2021

Benefits of using AWS services

1. Amazon EC2

2. Amazon RDS (relational database services)

3. Amazon Simple Storage Service (S3)

4. Amazon VPC (Virtual private cloud)

5. AWS Lambda

6. AWS Autoscaling

7. AWS IAM

8. Amazon ElastiCache

9. Amazon Kuberbetes Services (EKS)

10. Amazon ELB (Elastic Load balancing)

11. Amazon Redshift

12. Amazon Simple Notification Service (SNS)

13. Amazon Athena

14. Amazon KMS (Key Management Service)

15. Amazon DynamoDB

DevOps 2021: A preview of Service Mesh and why you should use them

Understanding the basics of a Service Mesh

What is the service mesh?

Why use a Service Mesh

Benefits of using a Service Mesh

Service mesh options for Kubernetes: Some of the common popular service meshes

Istio

Linkered

Kuma

AWS App Mesh

Conclusion: