Devops is an IT philosophy and practice that brings development, operations and testing personnel together in cross-functional teams, each responsible for the entire life cycle of a software product or software service. devops brings together an organization-wide team to work together to get code to market faster, reduce human errors and mistakes, improve version management, optimize costs, and improve resource management. Create a stable operating environment.
Devops trip
Debop's journey begins with exploring the current business processes and delivery pipelines and identifying clear goals that you want to achieve with your devops implementation services. You need to decide whether you want to work on a green field deployment or a brown field deployment. Greenfield deployments are easy to implement because they were built from scratch. However, new delivery methods can introduce downtime in the delivery of services. Brownfield deployments reduce downtime, but are often difficult to implement because they rely on parallel deployment methods. Think of brownfield as an attempt to fix a car at 55 mph.
Whichever method you choose, it is best to run the pilot first. For example, if you want to reduce time to market, you can move products with shorter deadlines to the iterative Devops model to see the impact.
Looking at the project, the following six steps are critical to success.
1. Prepare for cultural change
Devops integrates people, processes and tools to transform your organization into a single unit. Culture change is therefore the backbone of development, and changing corporate culture is one of the most difficult challenges. Simply adopting new policies and procedures may be successful at first, but will fail in the long run unless the underlying organizational culture changes too.
Successful development is a company-wide step that begins with executives at the highest level and extends to newcomers as well. You need to separate the name from the role, let developers and operations know the value they bring to your company, and then put them together into a cross-functional team.
2. Build a platform for continuous integration and continuous delivery
Once the entire organization has joined, the focus is on the development team themselves. The main problem with this is that developers can provide accurate and up-to-date information about their production environment so that they can plan their development well. This allows developers to focus on a coordinated "build and execute" approach where the developer creating the product or service "owns" the product or service in production. This "ownership" can be extended for a period of time to ensure that a fatal defect is corrected before it is handed over or for the life of the product or service. Both approaches work, but the most important thing is that the first contact surgery may not let go of the pouch to resolve a field problem.
3. Create a continuous test environment
The sooner you get feedback on your changes, the better the quality of your software. In a traditional waterfall process, all code is moved from development to the testing area. If the test is passed, it is transferred to production. Otherwise, the code is sent back to development for processing. This is time consuming and unreliable.
4. Establish a continuous delivery system
Continuous delivery extends continuous delivery. Any build that passes the entire test cycle is automatically provisioned. No human intervention is required to decide what to deploy and when. Continuous delivery enables companies to proactively make changes to their products while quickly providing new features and updates.
Continuous deployment looks a bit scary as you don't manually review it before deploying the code. With a well-designed delivery pipeline, you no longer have to worry about losing control of your production code. In addition, developers have more control over the functionality of a particular service by making it available only to selected users of a particular build or by automating the release of functions at specific times.
5. Use the blue / green extension
To reduce downtime and minimize risks, companies can consider a so-called blue / green deployment. This way, changes that are made and a new deployment (blue) is triggered will be deployed in parallel with the old deployment (green). Both deployments run in parallel, with little traffic initially being forwarded to the blue deployment. If successful, the remaining traffic is slowly routed to the blue deployment and the green deployment is gradually removed. If this is unsuccessful, the traffic will return to green and blue will be removed. This allows you to switch between deployment environments without causing downtime or system crashes. Websites like Facebook and Twitter cannot be stopped at any point, so this is how new features are introduced.
6. Monitor performance continuously
Performance monitoring is important in an automated environment, and there are several useful tools. Before choosing a tool, you need to identify the key indicators to monitor. If you have hundreds of services and procedures running on your system, you cannot monitor all of them. Instead, focus on the following five key categories:
1. Development cycle: To understand the performance of your automated delivery pipeline, monitor how often your code changes, how many objective functionality it contains, how many bugs it identifies and fixes, and much more.
2. Deployment: You will need a tool to notify your assigned team if the automatic deployment fails. Most continuous integration servers have a notification feature that automatically notifies assigned staff through the chat server if a deployment or build fails.
3. Vulnerabilities: Vulnerabilities are handled automatically when the code goes into production. You need a system to identify and mitigate known vulnerabilities (e.g. vulnerabilities listed in the National Vulnerability Database) or unknown vulnerabilities that can be traced back to unsafe techniques.
4. Server status: Server monitoring is essential for almost all types of infrastructures, not just development. System performance and the Service Level Agreement (SLA) depend on the condition of the server. There are several tools available to accomplish this task. You also need to monitor your infrastructure.
5. Application Performance: Identify key issues such as application performance and regression, monitor application activity, and make proactive decisions. Several tools such as AppDynamics and New Relic can be used for this purpose. These application performance monitoring (APM) tools provide insights into application usage and performance.
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