Microservices – DevopsCurry

Introduction to Kubernetes: The Go-to Container Orchestration Tool

Fri, 16 Aug 2024 06:27:05 +0000

If you google for Kubernetes, you will be hit with terms like orchestration, containers, and Docker. But what are these things? And how are they related to Kubernetes?

That’s what we are covering in today’s article. Here, you will be learning about Kubernetes and its working, plus how it relates to the terms mentioned above.

Let’s start from the beginning: What are Containers?

Containers are the fundamental units of containerization technology. They are lightweight packages that contain the application code and its dependencies like runtime, libraries, databases, etc. They are highly portable and help improve the speed and efficiency of the development and deployment process. The most popular example of containerization technology is Docker, an open-source platform that uses containers to facilitate the development, testing, and deployment of software.

However, although lightweight, the number of containers can often get out of hand for large-scale companies that provide a variety of services. In this case, managing hundreds and thousands of containers requires a separate tool.

That’s where an orchestration tool like Kubernetes comes in…

What is Kubernetes & Container Orchestration?

AWS defines container orchestration as “…the process of automating the networking and management of containers so you can deploy applications at scale.” As businesses grow, they add more and more services or features to their applications, with each of them having its own container. If a business keeps growing in this way, a time comes when there are thousands of containers that need to work simultaneously to keep the whole application well alive. However, managing such huge numbers of containers manually can be impractical and lead to a variety of problems and inefficiencies. This is why a container orchestration tool is required – to manage the containers.

Kubernetes (also known as K8s) is a container orchestration tool that was originally developed by Google and released as an open-source platform in 2014. Although there are other orchestration tools like Docker Swarm and Mesos as well, Kubernetes is the most popular one and is considered an industry standard.

Kubernetes Architecture: Components and Working

Image credits: The Kubernetes Architecture

Kubernetes cluster: A Kubernetes cluster is a set of nodes (or, in simple terms, computers) that run containerised applications. A cluster consists of 2 kinds of nodes: the master node and several worker nodes.
Nodes: The worker nodes are those that do the actual work of running the applications. The master node, on the other hand, manages these worker nodes by monitoring and scheduling various processes. It is further made up of 3 components: API server, scheduler, and controller manager.
Components of master node: The Application Programming Interface (or API) server acts as the link between the user and the various components of the K8s cluster. It is through this that one interacts with pods, services, and nodes within the cluster. The controller manager simply monitors the performance of the cluster. The scheduler, as the name suggests, schedules the placement of pods and containers based on the current capacity and availability of resources.
Pods: A worker node contains several pods, which are the smallest unit in Kubernetes architecture. Pods can further contain a single container or a group of containers. All the containers in a pod share the same resources and a common IP address. This IP address is used by pods to communicate with each other. Moreover, pods are ‘ephemeral’, which means they can ‘die’ (i.e. fail) in case of application crash or node failure. The backup, in these cases, is provided by services.
Services: Failed pods are quickly replaced or recreated by the master node. However, the newly created pod always comes with a new IP address. Since pod failure happens frequently, the IP address also changes often, which can affect the communication network between the pods. To solve this issue, services act as the permanent IP address of a pod. Even if the pod behind a service changes, the service remains as it is and keeps the communication going.
Kubelet: Kubelet is an important component of the K8s cluster, which is present on every worker node. It monitors and facilitates coordination and communication between all the components (pods and nodes) of the cluster.

Benefits of Using Kubernetes

Kubernetes orchestration helps businesses implement containerization effectively, especially when the containers are in large numbers.
It can be used to automate container deployment and scaling. During peak times, it can automatically scale up the resources (by adding pods) for better performance. During low traffic, it can scale down the resources (by removing pods) to reduce waste.
Kubernetes reduces downtime and ensures the availability of the application 24/7 through load balancing and automatic replacement of failed or unhealthy pods.
It helps to save on costs and resources by automating the various processes mentioned above.
Kubernetes overall complements and supports modern approaches to software development like DevOps and microservices.

Conclusion

Kubernetes has become a game-changer in the world of container orchestration, providing a robust and scalable solution for managing complex applications. Its ability to automate deployment, scaling, and operations across clusters has made it an essential tool for modern DevOps practices. As organisations continue to embrace cloud-native technologies, Kubernetes will play a critical role in enabling more efficient and resilient application management. Whether you’re just starting out or looking to optimise your existing infrastructure, Kubernetes offers the flexibility and power needed to meet the demands of today’s fast-paced tech environment.

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An Overall Guide On Microservices

Mon, 05 Aug 2024 06:18:00 +0000

What are Microservices?

In this article, we will be discussing about what is the microservice architecture, why was it needed, its benefits and more… Though we have another blog on microservices architecture as mention in the link https://devopscurry.com/an-overall-guide-on-microservices-architecture/

Introduction to microservice architecture: what is it & why was it needed?

There was once a king who ruled a small, prosperous kingdom with a few loyal ministers. Everything was going well until he decided to expand his territory. He conquered several surrounding kingdoms and his kingdom became an empire. However, with this expansion came new complexities in administration. So to manage this vast empire effectively, he divided it into smaller states, appointing a minister to oversee each one. These ministers further appointed persons responsible for individual departments like tax collection, justice, cleanliness, etc. within their states. As a result, the kingdom thrived once again.

This is also how microservices or microservice architecture was invented. When businesses expanded, it became difficult for the software development team to take care of every small aspect like authentication, payment, user interface, etc. as per the conventional monolithic architecture. So they shifted to a fragmented approach in the form of microservices.

But before moving to what microservices exactly are, let’s first understand the traditional monolith architecture.

Monolithic Architecture: The Conventional Model

Monolithic architecture is a traditional software development model that combines the whole application into a single unified codebase. It’s like the king ruling his smaller kingdom before expansion. That said, it works well for smaller businesses that neither require nor have the resources to appoint an entire team for a particular service.

Monolithic architecture has the following benefits:

Easy to develop since a single codebase exists that uses the same programming language for coding every component
Easy to deploy as the application can be deployed as a single unit
Simple to test or debug
Cost-efficient as only a single team of developers handles everything

However, this holistic approach to software development and deployment works fine only as long as the business is small, and becomes limiting once the business begins to grow. Following are some limitations of the monolithic architecture:

As the application and its codebase grow, the development process becomes slower.
Scaling any components is not possible unless the entire application is scaled up.
Any bug or error in a single component can affect the entire application.
To make any change to a single service, the whole codebase needs to be accessed and the entire application needs to be redeployed.

These limitations caused businesses and development teams to shift to an easily scalable, fragmented approach in the form of microservice architecture.

What is the Microservice Architecture?

What did the king do after expanding his territory? He distributed his control among ministers who managed only individual states.

That’s exactly what happens in microservice architecture. The application is distributed into smaller, independent services, each taking care of a specific business function.

Following are some of its important characteristics:

Loosely-coupled services: The services or the elements of the application are least dependent on each other or in other words, mostly independent of each other. Monolithic architecture had tightly coupled services that prevented the scaling of individual services.
Specialized services: Each service is responsible for a particular business function. For example, there is a different service for payments and a different one for managing user profiles.
Well-defined APIs: Application Programming Interfaces (or APIs) allow two components or services of an application to communicate with each other. Lightweight APIs with clearly defined protocols are used for communication between microservices.

Benefits of Microservices

Scalability

In monolithic architecture, scaling individual components without scaling the entire application was not possible. But in microservice architecture, all the components are independent of each other and can be deployed or scaled independently as per requirement. For example, if in an application, there is a sudden spike in payment requests, the microservice responsible for payments can be scaled up. When the requests again go down, the microservice can again be scaled down without interfering with the rest of the application. This helps larger businesses scale individual services on demand.

Flexibility in technology

If the codebase is unified, as in monolithic architecture, all the code has to be in the same programming language. But in microservice architecture, different languages and tools can be used for different services depending on what works best. This helped in enhancing all services without comprising any.

Less risky

Microservice architecture is less risky because its components can be updated or debugged independently without affecting the rest of the application. Moreover, the services can be updated independently without updating the entire application. If there is some issue with an update, the service can easily be brought back to its previous version as well.

Challenges of using Microservices

Complexity in management

Microservices architecture is like managing 10 different applications instead of one. Although it makes individual updates easier, cumulative updates and scaling is time-consuming and complex. It may require specialized monitoring, logging, and orchestration tools to maintainthe integrity of the application.

Performance problems

The individual microservices need to communicate with each other for the overall working of the application. However, a large number of services communicating on the same network can cause congestion and latency, further affecting the performance. Tools like load balancing tools (that distribute network traffic evenly across multiple servers) may be required to reduce response time and network latency.

Expensive

Each microservice requires a dedicated team of developers and tools for its working. This can be costly for newer or smaller businesses. Hence, the microservice architecture is affordable and suitable for only large and well-established businesses.

Conclusion

Both monolithic and microservices architecture have their own benefits and drawbacks. While monolithic architecture is suitable for smaller and newer businesses, microservice architecture is a necessity for bigger and established ones. That said, growing businesses that work on monolithic architecture need to consider their current and future requirements plus their financial situation before making a shift.

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Top DevOps Trends Of 2024

Fri, 19 Jul 2024 07:19:53 +0000

5 Popular Trends In DevOps In 2024

DevOps Trends Of 2024 .We have already talked about top 2024 trends in DevOps in our article – https://devopscurry.com/top-trending-best-6-devops-trends-in-2024/#google_vignette

Today we will be listing the most popular and revolutionizing DevOps trends till date.

1. Microservices

Traditional software used a monolithic architecture that had a single codebase operating all its services such as UI, payment processing, customer support, etc. However, because of having a single unified codebase, updating a single service meant accessing the whole codebase. Also, if one of the components was facing an error, it could affect other components or services as well.

This made the development process cumbersome and complex.

Microservice architecture overcomes this drawback by isolating these services so they no longer affect each other. Making individual updates to a service no longer requires releasing a new version of the entire software.

Overall, the microservice architecture is highly reliable and risk-free and helps to improve productivity and save time.

2. Serverless Computing

What does a server do?

A server stores all the data for a particular website or web application and sends this data when requested by the client’s system. Usually, businesses buy physical hardware that acts as their server. But there are some problems with a physical server:

Buying and maintaining the hardware can be expensive and requires physical space.
For growing businesses, additional servers need to be bought to handle the increased traffic on their website.
If there’s a sudden rush in traffic, and the number of servers is not able to keep up, the website will crash.

However, with Serverless computing, businesses need not worry about buying any servers at all. That said, ‘Serverless’ does not mean ‘no servers’ but ‘not buying any servers’.

They only need to take care of the frontend (that is, display) of their website while their serverless provider handles the rest. This has several benefits:
It allows developers to code in any language such as Python, Java, etc.
The serverless provider automatically employs more servers as and when the traffic to the website increases.
The provider does not charge the business based on the number of servers but on the amount of computation. Cloudflare uses a nice analogy to explain this which goes as – “This (serverless computing) is like switching from a cell phone data plan with a monthly fixed limit, to one that only charges for each byte of data that actually gets used.”

Overall, it helps save costs for newer and growing businesses while helping with efficiency and scalability.

3. DevSecOps (Development Security Operations)

In the DevOps approach, the software is tested for security only once the entire development process is completed. But in DevSecOps, every step of the development process is accompanied by security testing. Shift Left and Shift Right are a few more terms related to DevSecOps. Shift Left is the process of checking for security issues in the early developmental stages. Shift Right refers to checking for vulnerabilities once the software is launched as some of them might have bypassed the earlier security checks.

Tools like Static Application Security Testing (SAST) and Dynamic Application Security Testing tools automate the security scanning process to keep the development process going and not stuck.

4. AIOps

AIOps, short for artificial intelligence for IT operations, refers to the use of AI and machine learning (ML) to automate IT operations. It is also known as IT operations analytics (ITOA) or Cognitive Operations.

AI is used for various purposes in the software development and deployment sector:

It is used for detecting anomalies or abnormal behaviors (in network, performance, or security)
It is used to find the root cause of these problems.
It is for analyzing historical data and patterns to predict future trends.
It continuously monitors the network and performance in real time.
It helps to collect data on user experience and interaction.

AIOps saves time and expenses by automating several processes. This allows businesses to focus their workforce on more important and less manual tasks. It also lowers the risk of human error. Lastly, it helps with making strategic and data-driven decisions.

5. GitOps

GitOps is a modern approach to software development and deployment that depends on Git repositories and automation. It is defined as “…a set of practices and tools that rely on Git as the central source of truth for managing software applications and infrastructure.” as per a Medium article by Mistazidane. GitOps uses the Infrastructure as Code (IaC) concept which means storing all the infrastructure configurations as code in the Git repository. The Git repository is where all the codes regarding the infrastructure and a history of all the changes are stored.

The GitOps workflow is as follows:

A developer raises a ‘pull request’ in the Git repository to change the infrastructure.
The other developers or team members can see this request. They can accept this request as it is, add their contributions, or reject it altogether.
Once the request is finalized, it can be automatically deployed through an automated process that removes any inconsistencies or human errors.

GitOps helps improve collaboration among the team and smoothens the development and deployment process. It is also highly reliable as it allows you to ‘roll back’ to the last best version if the new version doesn’t perform as expected.

Conclusion

As we move further into 2024, the landscape of DevOps continues to evolve, driven by emerging technologies and changing business needs. From the rise of AI and machine learning in automating workflows to the increased focus on security and compliance, these trends are reshaping how we approach software development and IT operations. Embracing these trends can lead to more efficient, scalable, and secure practices, ultimately enhancing your organization’s ability to innovate and respond to market demands. Staying informed and adaptable is key to leveraging the full potential of DevOps in this dynamic environment.

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An Overall Guide On Microservices Architecture

Shiwani Sharma — Tue, 25 Jun 2024 06:23:29 +0000

Detail Information About Microservices Architecture

An Overall Guide On Microservices Architecture

What is Microservices Architecture?

Microservices Architecture, also known as microservices, is utilized in software development to provide a structure for complex applications. In other words, it involves developing a software system that focuses on creating modules. Each module performs a specific task or business goal and uses an interface to communicate with other sets of services, such as Application Programming Interfaces (APIs).

Microservices are highly beneficial for Agile and DevOps teams. It is also a technique of cloud-native software development that allows each function within an application to operate independently. Microservices also enable breaking down a large application into smaller parts, with each part having its responsibility.

Netflix and Amazon serve as examples of microservices architecture.

Characteristics of Microservices Architecture

Some characteristics of a microservices architecture are as follows:

It can handle problems that arise in the operation team.

It has a dedicated database layer for each service.

It introduces Application Programming Interfaces (APIs).

It can utilize various technologies, frameworks, and languages.

Another important characteristic is that its services cannot wait for other services to go online.

Benefits Of Microservices Architecture

Microservices Architecture offers many benefits and some of the benefits are as follow:

It can go over separately and permit more efficient use of resources. That means certain components can be scaled up or down that is depends on demand without impact on the overall system.

Several services can be written in several programming languages or utilized several technologies that permit the teams to select the best tool for particular job.

It also support CI/CD that permit for rapid release cycles and extra frequent update.

It can be regulated for performance , leading to faster response time for some important and difficult services.

It is well-suited to cloud environments, leveraging characteristics like managed services, auto-scaling, managed services and sever less computing.

Define DevOps Architecture?

IT and software companies allocated two teams separately and given the names of operational and development teams and this is done when the software company is first inaugurated. DevOps Architecture is the process to solve the queries between development and operation and fill the gap between them and this only happens when together these two development and operation are incorporated with collaborating. Some applications which are hosted on the cloud platform and an application which is highly allocated is utilized by DevOps architecture. It expends the time to test, design and deploy if both the terms (development and operations) were working individually for each other. Here is one term that is DevOps Architect. It is also important to know about this term in the definition of DevOps Architecture, so let’s understand the term DevOps Architect.

A DevOps Architect is a person who knows software architects, software developers, etc. and they have deep knowledge about all the concepts and stages of DevOps. A DevOps Architect provides the standardized explanation which matches perfectly for the management, operational and technical standards. This person must be eligible to handle all the issues which came across with the DevOps. They have a huge experience in dealing practically with the terms like leadership role, operations, configuration etc.

Microservices & DevOps

When we talk about software development and deployment practices, these two concepts are often discussed together, although they are not the same, they have many similarities. As discussed above, let’s now learn about DevOps and understand how similar these two concepts are.

What is DevOps?

DevOps is a process that integrates IT operations, practices, tools, and software development to deliver outstanding software characteristics through continuous delivery. It involves the adoption of programmable infrastructure and emphasizes software development, industrialization, collaboration, and communication within a company. DevOps includes procedures such as CI/CD (Continuous Integration/Continuous Delivery) tools and task automation, as well as the utilization of microservices, containers, and executing methodologies. Although it is clear that DevOps encompasses methodologies, it is not a technology itself.

The term “DevOps” combines the words “development” and “operations,” and it can be defined as the fusion of software development and operations practices. In other words, it refers to the combination of software development and operations to form DevOps. DevOps significantly enhances the speed and quality of application delivery, making it increasingly important for organizations. It offers faster speed, code security, and quick delivery as some of its key features.

Lastly, microservices provide an architectural approach to creating flexible systems, while DevOps aids in automation, continuous delivery, and collaboration. Together, they contribute to the growth of robust systems and provide the best software solutions.

Conclusion

Microservices architecture has revolutionized the way we build and maintain software applications, providing numerous benefits that address the limitations of traditional monolithic architectures. By enabling independent scalability, fostering technological flexibility, and enhancing fault isolation, microservices allow organizations to build more resilient, agile, and scalable systems. The architecture’s alignment with business functions and support for parallel development also accelerate development cycles and improve organizational efficiency.

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Platform Engineer VS DevOps Vs SRE : Understanding the difference

Shiwani Sharma — Thu, 19 Oct 2023 17:12:19 +0000

Over the last few years the terms and roles of Platform engineer, DevOps & SRE (Site Reliability Engineering) have gained a lot of popularity. All three are related to the same field Software Development and Operations field but they all have different ror even overlapping responsibilities.

Image Credit:https://www.getambassador.io/blog/rise-of-cloud-native-engineering-organizations

As you can see in the image above, you can observe how teams are organized into Platform engineers and SRE, as well as how the teams measure the success of both. This will give you an idea of their differentiation. They collaborate with various teams, including multiple development teams. Now, in the following article, you will learn about SRE, DevOps, and Platform Engineers separately.

What is Platform Engineer?

As we already discussed about platform engineering in our separate blog article (An Overview Of Platform Engineering) you will get the more insights about Platform engineering.

A platform engineer’s responsibilities are to organize, create, and maintain the infrastructure that endorses the DevOps of software applications. Now-a-days platform engineer is becoming in trend because it guaranteed to provide the best experience to developer and speed up the product team. They also helps the work of developer more efficiently just by doing CI/CD pipelines, configuring IaC( Infrastructure as Code) to automate the cloud resources.

Platform engineering is a new discipline that has emerged in response to the growing complexity of our modern day Cloud-native architectures. It can be called as a practice of building and maintaining an integrated product, which we call as “Internal Developer Platform” (IDP) ,which acts as a flexible and supported abstraction layer between developers and the underlying technologies of their applications.

Platform engineering is a process or an art that combines several tools and technologies which streamlines the software development and delivery process and help decrease the mental load on individual contributors, enabling self-service platforms for developers and other stakeholders.

What is DevOps Engineer?

A Process that integrates IT operations, practice, tools, software development And contributes the outstanding characteristics of software with the endless delivery.

It characterises the take on the renewal of programmable infrastructure and expenditure, software development, industrialisation. In a company, it stimulates alliance and transmission.

DevOps have some procedures such as the CI/CD tool (Continuous Integration/ Continuous Delivery) with an intensity of task automation. Microservices, Container, and executing together with the DevOps methodologies. Though it is clear that it has some methodologies, it is not a technology.

Image Credit: https://www.geeksforgeeks.org/devops-tutorial/

As you can see in the above image , you can get some idea exactly about what is DevOps ? The two words define DevOps (Dev + Ops ) (software development and Operations) and in other words, you can say the assortment of software development and operation is known as DevOps.

It enhances the speed and quality of the application that has been delivering to an enormous extent and that’s why it’s becoming more prominent for the organization.

It provides you with the faster speed, security for your code, delivered quickly, these are some of the important features of using DevOps.

What is an SRE? (Site Reliability Engineering)

SRE is known as Site reliability engineering. The team of SRE works as a tool that uses the software for unravelling any difficulties and managing the system. Through coding, it supports regulating huge systems that control a bundle of machines or you can say more than thousands of machines. It has many more similarities to DevOps. Site reliability engineering was inaugurated by Ben TreynorSloss and the idea of SRE came from Google Engineering. The engineer who is working on Google has written SRE. There are two terms and components which are very valuable for SRE are automation and standardization. They always want to work in two ways either to automate operations tasks. It helps the team for its movability means if a team wants to move from a traditional approach to IT operations to a cloud-native method, then the SRE supports their team for that. For enhancing the integrity of software and the infrastructure which operates it and SRE furnishes incentive and expensive input.

Image Credit: https://www.devopsschool.com/blog/𝗗𝗲𝘃𝗢𝗽𝘀-𝗩𝘀-𝗦𝗥𝗘-𝗩𝘀-𝗣𝗹𝗮/

This above image help you to know more about these three and get a better differentiation between DevOps, SRE & Platform Engineering.

Main differences Between Platform Engineer, DevOps & SRE

KEY DIFFERENCES

PLATFORM ENGINEER

DEVOPS

SRE

Automation

Platform engineer forces automation in CI/CD

DevOps encourages automation. It also uses automation in testing, monitoring, CI/CD.

Same as DevOps, SRE also encourages automation.

Communication& Collaboration

It facilitates the communication and it also collaborate between operation and development team.

As a core principle Devops also facilitates the communication and collaborate between operation and development team.

Same as platform engineer and DevOps SRE collaborate with operation and development team and also it deliver high-quality software.

Responsibility

A platform engineer’s responsibilities are to organize, create, and maintain the infrastructure that endorses the DevOps of software applications

DevOps are responsible for solving the trouble and production monitoring.

Same as DevOps but also uses the monitoring tools Grafana,Splunk.

Conclusion:

So at the end we see that these three, DevOps, SRE & Platform Engineering are very important approaches in the today’s software development world and each of these has its own unique function and their responsibility. A platform engineer’s responsibilities are to organize, create, and maintain the infrastructure that endorses the DevOps of software applications. DevOps is a Process that integrates IT operations, practice, tools, software development And contributes the outstanding characteristics of software with the endless delivery. The team of SRE engineers works as a unit that uses the software tools for mointiring and unravelling any difficulties in managing the system.

We can say that the current fast-paced software development environments demand close collaboration among SRE, DevOps and Platform Engineering to meet various requirements for a seamless Development, Deployment, and improved production systems.

We can finally conclude that: Even though these roles are distinct, but their responsibilities may overlap, based on the needs and requirements of the organizations.

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Why you should consider adopt Containers

Thu, 14 Jan 2021 16:40:40 +0000

Why you should adopt Containers in 2021

DevOps and Container Technology

With the constant demand for changing environments, DevOps and Container technology can work well when combined. Containers help to keep the development more agile and also ensures continuous delivery thus making containers a great tool for the DevOps process.

Containers provide an approach to package the application’s source code, libraries, configuration files, and all dependencies in a single object. This object is then able to run applications from a small to a large complex. Containers offer OS-level virtualization that allows you to share the operating system on a server and run it as an isolated resource. Unlike virtual machines, containers do not contain images for the operating system which makes them light-weight and portable.

If you are working on a large project then you can deploy multiple containers which can be managed by a container orchestrator. Containerization simplifies the DevOps process by reducing the interdependencies between IT operations and the Dev team. Containerization helps to streamline the development and production process. By including a container method will positively transform DevOps.

Understanding the role of containers in DevOps

By leveraging containers in the DevOps process you will be able to serve your customers faster, better, and effectively continuously. You must adopt a solid strategy to build and maintain a container environment. Though DevOps eased the software delivery process containerization will fast-paced your application delivery in an efficient way. Before applying the container, you should understand a few points for effective container management in DevOps.

Integration with IT

The main selection criteria for the container technology is how well and easily it gets integrated with existing IT enterprises without impacting its working pipeline and DevOps process. By far, storage management is considered to be the most important integration point for containers, if it gets integrated with it efficiently then it will work well with the current DevOps process.

Security and compliance framework

Ensuring that the container is in the line with the security and compliance framework of the company is important for DevOps success. You can ensure safety and compliance by continuous scanning, creating a private repository, and documenting rules for it.

Support hybrid infrastructure

Containers are dynamic and can be stored on various platforms as per the business requirement. You can host containers on-premise VMs, off-premise container service, off-premise VMs, and many more. But in some cases, organizations require multiple container services that require hybrid infrastructure to improve performance.

Microservices

With the help of microservices, you can easily break down large applications into smaller components which can be added to larger applications. It is not necessary to run large applications at a time, but you can deploy smaller components individually that will speed up the process and reduce turnaround time. You can deploy each microservice within a container.

PAAS and FAAS

Container adoption works well for Platform as a Service and Function as a Service due to the flexibility of the container. The container helps PaaS to easily onboard the legacy applications and allows FaaS to delay the code releases.

Application-centric container management

It allows the policy-driven deployment, monitoring, alerting, scaling, and updates of the container applications without imposing any infrastructure restrictions. Application-centric container management provides an abstraction layer on top of different container services that allows the customer to deploy their application in the private or public cloud.

Benefits of containers in DevOps

Containers ensure a streamlined process that allows you to build, test, deploy, and redeploy applications or programs in multiple environments. Containerization offers immense benefits to simplify the DevOps workflow. Some of the benefits are mentioned below.

Provide simple updates- if you want to deliver software continuously then applications need to be updated in a constant and streamlined manner. Containers allow easy software or application updates. Containers allow applications to be distributed in multiple microservices and an update to a small part of your application does not impact other parts of the application.
Containers support multiple Frameworks– DevOps allows the agility to switch between multiple programming frameworks and containers. With containers, you can run any type of application irrespective of the language they are written in. You can then move those containers easily among different hosts.
Makes DevOps workflow consistent- whenever you create and deploy your application within a container, the environment remains the same throughout the delivery chain. This process provides better team collaboration and makes it easy as every team member is working in the same containerized environment.
Cost-saving- unlike VMs, containers do not need OS which may include a cost. Containers run side by side and share the OS kernel of a single physical machine. Also, containers do not require allocation of resources and work on microservices which minimizes the resource overhead.
Faster agility- creating a new container is much faster than setting up a new virtual machine. Once deployed, containers can easily scale as per the growing business demands and data.
Containers are immutable- containers come with precise and controlled environments to create a CI/CD pipeline. Containers are immutable, the software that is tested will be the same as the software to be deployed without any discrepancies.
Ensures security- to maintain container security, the lifetime of the container needs to be reduced to protect it from hackers which gives them a little window to play. You can also refresh containers every minute or so and it keeps the containers up-to-date.

Conclusion

In a nutshell, here’s what Containers can do for you: They can get more applications running on the same hardware than other technologies; they make it easy for developers to quickly create ready-to-run containered applications; and they make managing and deploying applications much easier.

So we have seen how the Container technology is overtaking the entire software world by a storm. Containers are not a technology but more of a revolution, it is just a matter of time when all software applications will be using and running on Containers. So now is the time to think and decide if you have already not started using containers within your organisation, to make a try and adopt Containers as a part of your codebase.

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