Devops Trends – DevopsCurry

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.

The post Top DevOps Trends Of 2024 appeared first on DevopsCurry.

Top Trending Best 6 DevOps Trends In 2024

Shiwani Sharma — Wed, 19 Jun 2024 09:47:16 +0000

DevOps Trends In 2023

As already we have many blogs where we have discuss about DevOps but still we are going to share some information about DevOps and I am sharing some of the blogs link for your reference.

https://devopscurry.com/devops-2023-a-complete-guide-to-transition-from-a-sysadmin-to-devops-role/

https://devopscurry.com/integrating-ai-into-the-devops-lifestyle/

What is DevOps?

A Process that integrates IT operations, practice, tools, and software development And contributes the outstanding characteristics of software with endless delivery. It characterizes the take on the renewal of programmable infrastructure and expenditure, software development, and industrialization. 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. Microservice, Container, and Executing together with the DevOps methodologies. Though it is clear that it has some methodologies, it is not a technology. The two words define DevOps (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 delivered to an enormous extent and that’s why it’s becoming more prominent for the organization. It provides you with faster speed, security for your code, and delivered quickly, these are some of the important features of using DevOps.

Top 6 DevOps Trends In 2023

GitOps

GitOps is an open-source control system that delivers a bundle of techniques to enroll in monitoring and management for the application, deployment, and work by utilizing it. Gitops operates as a distinct origin of truth for code to deliver the prevailing control over the production environment.

One of the other features of GitOps is the absence of manual intervention that heals the deployment from the downfalls and feeling more confident in the delivery system. GitOps is practically DevOps best practices that is used for application development as like CI/CD tools, version control etc.

Kubernetes

It’s open-source and one of the extensive popular containers which you can find as a service with all the providers of the cloud. Kubernetes is a word taken from Greek which means the pilot and it was formulated in 2014 by Google for operating the application which is operating inside the container, automating deployment etc. Now a days at least 45-55% developers uses Kubernetes for container orchestration.

Edge Computing

The term edge means nothing and everything. This word edge creates a buzz such as a cloud, loT. Edge computing helps to allocate the computing framework that gives rise to enterprise applications that are far near to data sources such as the local edge servers and IoT devices. These data sources provide many profits to the organization such as developed comeback time, sufficient presence of bandwidth, faster insights.

In another word, it is computing that is completed or near the source of data. It means the cloud is closer to you or arriving at you, it doesn’t mean the cloud will dish. The mobile edge or the edge computing is computing on the higher network that is 5g network that is extra extensive data analysis and facilitates sooner, that enhances the experience of the customer, provides the faster response time and establishes the chance for deeper insights.

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.

Serverless Computing

As the name suggests, in Serverless computing, the services and the application were produced and operated without mandating server management which conducted the fastest and quicker deployment. It has the ability to produce the DevOps pipeline code and converted the process of DevOps by facilitating quicker development and improving its scalability.

Serverless product means “NO server, no worries.” You can only concentrate on your application. By using serverless, you can capture numerous files without have to worry about hard drives or thinking of where to store these files or data. Many companies already had used Serverless in production and these companies are AOL, Netflix & Reuters etc. Serverless is best for applications with variable workloads, where resources are only required occasionally or in response to some specific event.

Conclusion:https://www.spiceworks.com/tech/devops/articles/what-is-serverless/#lg=1&slide=0

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.

Conclusion

As we look towards 2024, the evolution of DevOps continues to shape the landscape of software development and IT operations. The top trending DevOps trends highlight the growing importance of automation, AI, security, and collaboration in driving efficiency and innovation. From the integration of AI and machine learning to enhance predictive capabilities and automation, to the increased focus on DevSecOps and GitOps for seamless, secure, and scalable operations, the DevOps ecosystem is rapidly advancing.

The post Top Trending Best 6 DevOps Trends In 2024 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

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