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7 DevOps Best Practices Everyone Should Follow

Software developers and IT operations experts are encouraged to work together, communicate, and integrate their efforts through the use of the DevOps technique. By automating and combining various stages of software creation, testing, deployment, and operation, DevOps seeks to accelerate the software development process.

What is DevOps?

A software development process called DevOps aims to enhance teamwork, communication, and integration between teams working on software development and IT operations.

DevOps seeks to improve the pace and quality of product delivery while streamlining the software development process by automating and combining different phases of the software development lifecycle.

Continuous integration and delivery, automated testing, version control, infrastructure as code, monitoring and logging, agile and lean concepts, and other practices and tools are all combined under the umbrella of DevOps.

Organizations can improve their operational efficiency and dependability, the quality of their software products, and customer satisfaction by implementing DevOps.

In general, DevOps encourages teamwork, continuous integration and delivery, and ongoing software development and delivery improvement.

7 DevOps Best Practices Everyone Should Follow

DevOps is a software development methodology that emphasizes collaboration and communication between software developers and IT operations teams. It is designed to improve the speed, efficiency, and quality of software delivery. Here are seven best practices of DevOps that you should also echo to your team especially when you hire developers new to a project:

1. Continuous Integration and Continuous Delivery (CI/CD)

Continuous Integration/Continuous Delivery, or CI/CD, is a crucial element of contemporary DevOps processes. It entails a collection of procedures and equipment that let teams produce high-quality software quickly.

The process of continuously integrating code updates from various developers into a single common repository is known as continuous integration. This aids in problem detection early on and stops problems from building up. Contrarily, continuous delivery entails automating the release procedure so that software may be reliably and quickly pushed to production.

Code updates are checked into a source code repository in a typical CI/CD pipeline, starting the build process. The code is compiled during the build process, and automated tests are run to ensure everything operates as it should.

If the tests succeed, the code is subsequently deployed to a staging environment for additional testing. It can be sent to production after passing every test in the staging environment.

2. Monitoring and Logging

A critical process, utilizing monitoring tools and procedures to continuously track the functionality, availability, and behavior of software systems is known as monitoring in the DevOps world. It is an essential procedure for preserving the dependability and stability of contemporary software programs.

Monitoring is gathering information from various sources, including logs, metrics, and events, and then analyzing it to spot problems and patterns in system behavior. Setting up alerts and notifications to notify teams when certain thresholds or conditions are fulfilled is another aspect of monitoring.

Effective monitoring, however, might not be possible if only observability tools with fixed dashboards are used. Bespoke dashboards are crucial for giving teams the precise information they require to swiftly detect and address problems.

Custom dashboards are essential for providing visibility into the performance and behavior of Kubernetes clusters and the applications that run on them, for instance, in Kubernetes Monitoring. Data about Kubernetes resource utilization, such as pod, node, and deployment usage, as well as metrics on CPU, memory, network traffic, and application response times, may be included in these dashboards.

3. Adopt System Observability

In DevOps, the term observability refers to the practice of using tools and procedures to learn more about a software system’s inner workings, including its performance, availability, and behavior.

As it enables developers and operations teams to swiftly identify and address problems in a complex and fast-evolving system, it is a crucial approach for the contemporary software development lifecycle.

In order to be observable, data must often be gathered and analyzed from a variety of sources, including log files, metrics, traces, and events. These resources offer various kinds of information that can be used to identify and resolve problems with software systems.

DevOps teams must put in place tools and procedures that gather and analyze data from these sources in order to achieve observability. This could involve utilizing monitoring tools to gather and display metrics as well as logging frameworks like Log4j or Logback to create and manage log files.

Teams need to have a common knowledge of the behavior and performance of the system as part of observability, in addition to gathering and evaluating data.

The system’s performance must be optimized, which calls for cooperation between developers, operations teams, and other stakeholders who can use the data and insights offered by observability tools to pinpoint and fix problems.

4. Collaboration and Communication

A successful DevOps approach must include collaboration and communication. To develop, release, and maintain software applications, DevOps teams must work together. Successful cooperation and communication are essential for ensuring that all team members are on the same page and pursuing the same objectives.

In DevOps, collaboration entails increasing teamwork and tearing down silos between developers, operations, and other stakeholders.

Using collaborative tools that enable team members to share information, track changes, and work on code together in real-time includes the use of wikis, chat platforms, and code repositories.

Together, DevOps teams can create systems that are more scalable, resilient, and effective and satisfy the demands of both the company and end users.

Another essential component of DevOps is effective communication. To make sure that everyone is on the same page and pursuing the same goals, communication between team members, stakeholders, and customers must be clear, succinct, and timely.

There are several ways to communicate, including daily stand-up meetings, project status updates, and frequent feedback sessions. DevOps teams can quickly identify and fix problems and work together to produce solutions that satisfy the demands of all stakeholders by encouraging open communication.

5. Agile Project Management

Agile project management is an approach that significantly emphasizes adapting to change while emphasizing iterative and incremental development.

DevOps teams may collaborate more effectively and produce software more rapidly and effectively by using agile project management. A cross-functional team comprising development, operations, and other departments often works closely together in an agile environment.

Delivering functional software in brief iterations is one of the fundamental tenets of agile development. This is accomplished by the team concentrating on providing a certain set of features or capabilities within sprints or time-boxed development cycles. 

A potentially shippable product increment that can be deployed to production is delivered by the team at the conclusion of each sprint.

Agile project management tools also promotes constant team member feedback and cooperation. Daily stand-up meetings are used to do this, during which team members talk about their accomplishments, give each other feedback, and identify any issues that need to be resolved.

The use of metrics and data to gauge performance and monitor progress is another important component of Agile project management in DevOps. As a result, the team is able to pinpoint areas for development and make data-driven choices regarding their procedures and methods.

6. Switch to Microservices

In DevOps, the process of splitting up a monolithic program into smaller, independent services that communicate with one another using APIs is referred to as switching to microservices.

Due to its capacity to enhance software development’s scalability, agility, and fault tolerance, this strategy has grown in popularity recently.

Making the leap to microservices in a DevOps environment might offer a number of advantages. For instance, it may make it possible for teams to embrace a more continuous delivery strategy, allowing for the quick and reliable testing and deployment of updates.

Although failures in one service are less likely to affect the overall application, they can help increase fault tolerance.

Yet transitioning to microservices also comes with a number of issues that must be resolved. Teams must, for instance, make sure that each service is created and tested independently and that communication between them is secure and dependable.

In order to quickly identify and address problems with the microservices design, they must also integrate efficient monitoring and alerting systems. You can check out the best collaboration software examples

7. Prioritize Customer Satisfaction

There are various phases involved in putting customer satisfaction first in DevOps. First, it’s crucial to regularly collect client input during the development process. Many other methods, including surveys, UX research tools, and encounters with customer service, can be used to get this data. Analysis of this feedback should be done in order to use it to guide development choices.

Second, DevOps teams should collaborate closely with stakeholders to establish precise requirements and expectations for the software product. To make sure that everyone is working towards the same objectives, these needs should be thoroughly defined and conveyed to all team members.

Third, the software product’s quality and dependability should be given top priority by DevOps teams. Practices like automated testing, continuous integration, and continuous delivery can help with this.

DevOps teams may ensure that the software product fulfills client expectations and is free of bugs and defects by prioritizing quality and dependability.

Fourth, customer service and communication should be given top priority by DevOps teams. This includes keeping consumers updated on product upgrades and changes and promptly and effectively supporting customers who experience problems with the software product.

Conclusion

In conclusion, DevOps best practices can significantly enhance the software development process by enhancing collaboration, automation, and feedback. Cross-functional teams are encouraged to collaborate according to DevOps principles to produce software more quickly, consistently, and of higher quality.

DevOps is not a one-size-fits-all strategy, and the best practices will change depending on the size, structure, and unique requirements of the firm. Yet, firms can improve customer satisfaction, reduce churn, and increase overall business performance by adhering to these fundamental principles.

FAQs

What are the nine pillars of DevOps best practices?

There are several best practices that are commonly associated with DevOps, often referred to as the “Nine Pillars of DevOps.” These practices include culture, automation, lean, measurement, sharing, feedback, continuous improvement, collaboration, and security.

What are the 7 C’s of DevOps?

The 7 C’s of DevOps are a set of principles that help organizations to implement the DevOps culture and practices effectively. They are Continuous Development, Continuous Integration, Continuous Operations, Continuous Deployment, Continuous Testing, Continuous Monitoring, and Continuous Feedback. 

What are the major practices of DevOps?

The major practices of DevOps include agile project management, continuous integration, continuous delivery, infrastructure automation, and monitoring and feedback.

Stephanie Seymour

By Stephanie Seymour

Stephanie Seymour is a senior business analyst and one of the crucial members of the FinancesOnline research team. She is a leading expert in the field of business intelligence and data science. She specializes in visual data discovery, cloud-based BI solutions, and big data analytics. She’s fascinated by how companies dealing with big data are increasingly embracing cloud business intelligence. In her software reviews, she always focuses on the aspects that let users share analytics and enhance findings with context.

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