DevOps is the fusion of IT operations and software development. DevOps techniques and tools are intended to expedite a product’s development and promote efficiency throughout its lifecycle. Development and deployment processes are slowed down by repetitive and monotonous tasks, which are managed and automated by DevOps. DevOps automation accelerates software development, testing, deployment, and monitoring tasks to produce more rapid iteration cycles and tighter feedback loops. Automating repetitive manual tasks lowers their cost and burden. In this article, you’ll learn What is DevOps Automation, the Benefits of DevOps Automation, its Real Use Case, and what DevOps process can be automated.
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DevOps Automation is a set of tools and technologies that carry out repetitive, standard tasks that engineers would typically complete by hand. As software development and operations teams work together to continuously improve how they design, build, test, deploy, release, and monitor software applications, task automation across the SDLC facilitates this collaboration. Automating repetitive manual tasks and fostering greater cross-team collaboration are the two main objectives of automating DevOps.
By eliminating bottlenecks and human error, DevOps automation tools accelerate delivery cycles by producing fewer and shorter feedback loops. From the final release and delivery of an application or service upgrade to the most recent code committed to a repository, there is an increase in efficiency.
The use of Kubernetes, containers, and microservices infrastructure allows for the continued evolution and optimization of this incremental software development and continuous deployment methodology.
The implementation of an automated DevOps and IT framework solution can be relatively easy or quite difficult, depending on the current state of an organization’s unique cloud adoption journey, desired outcomes, and existing business goals.
Automating the following DevOps processes is a smart idea, regardless of whether the computing environment is housed in a hybrid cloud infrastructure, a public cloud computing service, or on-premises:
Automated CI/CD: For agile DevOps teams, these pipelines represent best practices. To produce secure code and satisfy important business requirements, CI/CD must be automated. When appropriate, this also applies to continuous deployment, in which each approved change is automatically pushed to production.
Automated Testing: The goal of automated end-to-end testing is to find mistakes, flaws, and problems as early in the CI/CD pipeline as possible. This procedure aids in ensuring that end users receive regular, high-quality software updates.
Automated Application Monitoring: Automated application and log monitoring tracks issues reported through DEM management or logs, providing deep insights into application performance and enabling fast mean time between failures. The ultimate aim is to provide continuous 24/7 service from any location and on any device.
Automated Network Provisioning: This uses preset processes to provide computing capacity on demand without requiring human intervention. It can also facilitate the deployment of applications in software containers like Kubernetes, depending on the IT solution.
The use of Automation in DevOps in software development has many advantages. Among these advantages are:
Enhanced Speed: Automation makes software development and deployment processes faster and more effective, which cuts down on the time it takes to release updates and new features.
Increased Quality: Teams can produce software that is more dependable and stable by automating testing, software deployment, and monitoring procedures. This helps to cut down on errors and inconsistencies.
Improved Cooperation: Automation fosters a closer working relationship between the operations and development teams, facilitating improved coordination and communication.
Increased Productivity: Automation frees up teams to concentrate on more complex jobs that call for human involvement by doing repetitive, manual tasks.
Cost Savings: Automation minimizes downtime and eliminates the need for manual labour, which over time saves a lot of money.
Faster Time-to-Market: Teams can launch new features and products more quickly if they can expedite the development and deployment processes. This gives companies a competitive advantage in their sector.
Increased Customer Satisfaction: More prompt and dependable delivery of high-quality software results in happier customers.
Software development and operations can gain a great deal from Automating DevOps, including faster time to market, better customer satisfaction, increased speed, better quality, improved collaboration, and cost optimization.
The majority of the time, a DevOps pipeline cannot be fully automated. In DevOps, automation does not eliminate the role of engineers. When something goes wrong or needs to be updated, human oversight and intervention are still necessary in even the most automated DevOps processes.
However, teams should aim to automate as much as they can because it reduces the need for humans to handle routine, basic tasks related to DevOps.
Software delivery becomes more complex and visibility is hampered by pipeline diversity and toolchain fragmentation. The software delivery pipeline’s performance cannot be easily measured and optimised in real-time centrally due to the high fragmentation amongst different tools and teams. Although each tool offers context regarding its performance, data sharing is challenging, making it challenging to gain a comprehensive understanding of how your organisation is run.
Teams may evaluate, benchmark, and continuously enhance their software development and delivery performance in real-time with Sumo Logic’s help by streamlining the visibility of the software development pipeline. We bring software development pipelines into the realm of observability.
By automatically correlating data across their CI/CD pipelines, we enable development organizations to continuously benchmark and optimize their software delivery performance. Leading cloud development tools such as AWS, Azure, GCP & Jira, GitHub, Bitbucket Jenkins, PagerDuty, Opsgenie, and many more are integrated with our solution.
DevOps automation can help and make your life a lot easier. By automating time-consuming development lifecycle tasks, CI/CD pipelines help you cut down on the expenses, complexity, and labor-intensive nature of repetitive manual tasks. Pipelines can also be used to provide an additional layer of quality assurance and control to the deployment process and post-deployment monitoring, which will give you the assurance you need to proceed swiftly and provide value to your clients. However to get started automating your development workflows with best-in-class CI/CD, contact Bluetris Technologies for the pipeline to get run.
Which Automation Tool is used in DevOps?
A group of DevOps automation tools called Docker builds containerised environments for apps, increasing their portability, security, and minimizing conflicts during testing. Docker makes it possible for DevOps to develop and execute applications rapidly.
Which language is best for automation DevOps?
Python is frequently regarded as being superior for DevOps because of its ease of use, adaptability, and rich library support, which make it perfect for scripting and automation jobs. It is extensively utilised for orchestration and configuration management.
What are the Benefits of Automation in DevOps?
Benefits of DevOps
What is an example of automation in DevOps?
Developers use continuous integration (CI) to continuously merge their changes back into the main branch. Every change is automatically built and tested by the CI/CD server. For instance, developers can automate different phases of their build pipeline using Jenkins, a well-known open source automation server.
DevOps automation accelerates software development, testing, deployment, and monitoring tasks to produce more rapid iteration cycles and tighter feedback loops. Automating repetitive manual tasks lowers their cost and burden.
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