DevOps is the most popular buzzword in the current IT Industry, where most of the organisations are investing time and money to enhance their business revenues with industry-centric methodologies. It is recognised as the revolution in software engineering methodologies that changes the process and culture of software development.
Most of the Organisations are facing difficulties to manage the workflows, due to the manual work between the development and operations teams while handling the continuous integration and delivery. It shows great results by automating the process flow and successfully implementing DevOps.
How is DevOps formed? How is it playing a crucial role in the IT world?
DevOps term is derived by combining “Dev“ and “Ops” terms . while the first term “Dev” stands for the software development, the second term “Ops” stands for network engineers, system engineers, DBA, System Administrators, DBA’s, etc. With the help of the term, we can understand that it has a major role in collaboration and communication among software developers, IT operations and QA’s.
DevOps technology is the software development practice, where the development engineers, operations engineers and QA’s will work together in the entire lifecycle of the product development. DevOps Engineers plays a vital role from the beginning stage, i.e. designing phase to the last stage, i.e. the Deployment Phase.
What is DevOps Automation and why Automation is needed for DevOps?
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Employees who are working on the DevOps technology mostly depend on various automation tools with the primary aim to reduce manual work in between operations, development and customers as well.
Let us take Change Request(CR) as an example, which handles various processes in the companies if the end-user has come up with a change request by ticket submission with the help of the desk system or through email. In this type of situation, the operation team receives various updates on the issue.
After receiving the update, the operation team interacts with the associated developers regarding the same problem, and they start working on it. After the completion of their work, developers forward the solutions to the testing team. The testing team deploys the solutions in the testing environment, and after getting the feedback from the developer, they will forward the effective solution to the operations team.
This traditional procedure of change request implementation leads to many disadvantages like process gaps, communications, manual interventions, and missing some bit of information that affects the best solution.
The latency occurred during the transfer of data between the development team, and end-user is harmful. As multiple parties are involved in the development loop, the much-threaded path is vulnerable to flaws and miscommunications.
Automating DevOps Process through Integration
Automation is considered as a lifeline in DevOps. By focusing mainly on the integration technologies, which is the right place to bring the DevOps tools together that are used by both external and internal stakeholders. After integration, we will have the power to define the most efficient end-to-end DevOps process that can run on different tools. This helps to enhance communication among the teams and release the correct deployments quicker.
Automation monitoring the success of DevOps
DevOps Automation enables the creation of many real-time reports that provide a summarised view of every single aspect that is going on in the Project. Now, in the DevOps scenarios, the entire integration data across various tools will automatically save in a central repository. It allows for creating several types of real-time reports such as:
- Deployment Frequency: It is used to measure the frequency of deployments completed with respect to requested changes.
- Change Fail Rates: It measures the Frequency at which particular changes are failed.
- MTTR: It is called Mean Time To Recover, which probably includes the average amount of time to get a problem fixed and get complete recovery.
- Lead Time for Changes: This refers to the total amount of time required for implementing a specific change. It calculates the time between the submission of change request and completion of its execution.
Automation Invoking Productivity
With the help of the DevOps process, we can achieve a complete automated infrastructure with the below advantages:
- Bringing Togetherness In Isolated Teams: After the communication obstacle disappears, development, operations and testing team can work Parallely.
- Less Time To Delivery In Market: Highly effective communication and Quick Deployments allow marketing the product quickly.
- Automated Workflows: The entire parts of Development and Development chain are automated that shortens the development and delivery process.
- Continuous Integration: Unit testing and code quality analysis is done in an integrated tool environment and then saved to SCM for the build.
- Better Monitoring: The project leads can use real-time reports to fix the change requests and defects.
- Continuous Delivery: The Delivery Manager will have a production-ready environment to deliver the latest fixes when required.
- Faster Resolution: Developers and IT Operations teams are notified when a new defect or change request arises. As they don’t need to wait for other teams, the problem is resolved quickly.
- Decreased Risk: Risks which occur due to human errors are decreased to a large extent.
- Cost Reduction: cost of process management becomes less as the burden occurs due to manual interference is eliminated.
- Main Focus To Improve Business: Mostly, teams concentrate on improving core business to enhance the final productivity.
List of DevOps Courses:
Here are the other DevOps courses offered by Mindmajix:
|Build and Release Engineer||Jenkins|
|Chef DevOps||Octopus Deploy|
|Continuous Integration||Git & GitHub|