DevOps (a combination of “development” and “operations”) is a combination of practices and tools designed to increase an organization’s ability to deliver applications and services faster than traditional software development processes. This speed allows organizations to better serve their customers and compete more effectively in the marketplace.
In simple terms, DevOps is about removing the barriers between traditionally siled teams, development, and operations. Within the DevOps model, development and operations teams work together throughout the entire software application lifecycle, from development and testing to deployment and operations.
DevOps can best be explained as people working together to conceive, build, and deliver secure software at full speed. DevOps practices enable software developers (devs) and operations (OP) teams to accelerate delivery through automation, collaboration, rapid feedback, and iterative improvement.
Building on an agile approach to software development, DevOps Delivery extends the cross-functional approach to building and shipping applications in a faster, more iterative way. When you embrace the DevOps development process, you are making the decision to improve the flow and value delivery of your application by fostering a more collaborative environment throughout the development cycle.
DevOps represents a shift in the thinking of IT culture. Building on lean, agile practices and systems theory, DevOps focuses on incremental development and rapid delivery of software. Success depends on the ability to create a culture of accountability, enhanced collaboration, empathy, and shared responsibility for business results.
- Speed: DevOps practices allow you to move at the speed you need to innovate faster, better adapt to changing markets, and become more efficient to drive business results.
- Express delivery: When you increase the frequency of releases, you can improve your product faster and create a competitive advantage.
- credibility: DevOps practices such as continuous integration and continuous delivery can ensure the quality of application updates and infrastructure changes so that you can deliver reliable services at a faster rate while maintaining an optimal experience for end users.
- Improve collaboration: Under the DevOps model, developers and operations teams collaborate closely, share responsibilities, and merge their workflows. This reduces inefficiency and saves time.
Protection: Embrace the DevOps model without sacrificing security with integrated, automated security testing tools.
How does DevOps work?
- Under the DevOps model, development and operations teams are no longer “siloed.” Sometimes these two teams are combined into one where engineers work throughout the application lifecycle, from development and testing to deployment and operations, developing a skill set that is not limited to one only work.
- In some DevOps models, QA and security teams can be more closely integrated with development, operations, and throughout the application lifecycle. When security is the focus of attention for all DevOps team members, this is sometimes called DevSecOps.
- These teams use practices to automate processes that have historically been manual and time consuming. They use a stack of technology and tools that help them run and develop applications quickly and reliably. These tools also help engineers to independently perform tasks (for example, deploy code or provision infrastructure) that would normally require the assistance of other teams, and this speeds up the team.
How to Find the Right DevOps tools
DevOps practices are built on powerful tools to help teams quickly and reliably deploy and innovate for their customers. These tools should automate manual tasks, help teams manage complex environments at scale, and keep engineers in control of the high-velocity pace of DevOps.
The DevOps workflow consists of phases:
- Plan the next iteration of product development
- code construction
- Testing and deployment in a production environment.
- Delivery of product updates.
- Monitor and record program performance
- Collect customer feedback
Planning: Task tracking and scheduling tools are needed to ensure the DevOps team knows which tasks are in progress, what is currently being done, and whether there is any risk of delay. Tools like Confluence and Jira help DevOps teams achieve a streamlined and efficient project management cycle and ensure timely product delivery.
Construction and delivery: Developers need to quickly deploy development and test environments and can’t wait long for fixes when something goes wrong. Docker containers ensure consistency across multiple development and release cycles and provide repeatable development, build, test, and production environments. Other popular tools for this stage include Kubernetes, Terraform, Chef, Ansible, and Puppet.
Tests: Look out for tools like Jenkins, CircleCI, and GitLab CI, which help reduce the time and effort spent testing without compromising code quality or user experience.
Monitoring and recording programs: Once the software goes into production, it must be monitored to ensure stable performance and increase customer satisfaction. This stage also includes performance analysis, logging, generating smart alerts on various issues, collecting customer feedback, etc. Tools to perform these tasks include Prometheus, Grafana, Elastic (ELK) Stack, Splunk, and Sumo Logic.
What is DevOps culture?
DevOps is not just a methodology or practice, it is also an organizational culture. The DevOps culture focuses on small, multidisciplinary teams that can work independently and be jointly responsible for the user experience that the software product provides. The DevOps team lives in production: they are mainly focused on improving the direct use of the product.
The DevOps culture includes the following core elements:
- DevOps teams embrace agile practices and integrate both development and operations into each team’s responsibilities. Teams work in small iterations, striving to improve overall customer value delivery and remove waste and roadblocks from the process. Teams are co-responsible, eliminating silos or finger pointing.
- DevOps teams apply a growth mindset: They use monitoring and telemetry to collect evidence in production and monitor results in real time. They pilot test new features in production, using techniques such as Canary or Blue/Green deployments, to quickly collect data, test features, and use the results to drive continuous improvement.
- DevOps teams focus on Mean Time to Mitigation (MTTM) and Mean Time to Repair (MTTR) rather than Mean Time Between Failures (MTBF). Unlike traditional waterfall teams that do everything they can to prevent issues in the field, the DevOps team understands that failures will happen and emphasizes the ability to act quickly, understand the impact, and mitigate production issues.
- DevOps teams think in terms of competencies, not roles, and this includes both development and operational skills. All team members share the responsibility for running the services. Both developers and operations are responsible for live services, and each can share a rotating schedule when online. If you create it, you are responsible for its operation.
Also Read, Network Security
DevOps Practices Explained
There are some key practices that help organizations innovate faster by automating and streamlining their software development and infrastructure management processes. Most of these practices are accomplished with the right tools.
A basic practice is to make very frequent but small updates. This is how organizations innovate faster for their customers. These updates are typically more incremental in nature than the occasional updates made in accordance with traditional release practices. Frequent but small updates make each deployment less risky. It helps teams handle bugs faster because teams can identify the last post that caused the bug. Although the frequency and volume of updates vary, organizations using the DevOps model deploy updates more frequently than organizations using traditional software development practices.
Organizations can also use microservices architecture to make their applications more agile and enable faster innovation. The microservices architecture separates large, complex systems into simple, self-contained projects. Applications are divided into many individual components (services) and each service has a single purpose or functionality and runs independently of peer services and the application as a whole. This architecture reduces the burden of coordinating application updates, and when each service is combined with small, agile teams taking charge of each service, organizations can move more quickly.
However, the combination of microservices and a higher release frequency leads to more deployments that can present operational challenges. Therefore, DevOps practices such as continuous integration and continuous delivery solve these problems and allow organizations to deploy quickly in a secure and reliable manner. Infrastructure automation practices, such as code and configuration management, help keep computing resources flexible and responsive to frequent changes. Additionally, the use of monitoring and logging helps engineers track infrastructure and application performance so they can quickly respond to problems.
Together, these practices help organizations deliver faster and more reliable updates to their customers. Here’s an overview of important DevOps practices. Here are DevOps best practices:
Continuous Integration is a software development practice in which developers regularly consolidate their code changes into a central repository, after which automated builds and tests are run. The main goals of continuous integration are to find and fix bugs faster, improve software quality, and reduce the time it takes to validate and release new software updates.
Continuous delivery is a software development practice in which code changes are automatically generated, tested, and prepared for release into production. Extends into continuous integration by deploying all code changes to a test environment and/or production environment after the build phase. When continuous delivery is implemented correctly, developers will always have a ready-to-deploy artifact that has gone through a standard testing process.
Continuous delivery is a software development practice where code changes are automatically generated, tested, and prepared for release to production. It is extended on continuous integration by deploying all code changes to a test environment and/or production environment after the build phase. When Continuous Delivery is implemented correctly, developers will always have a ready-to-deploy artifact that has gone through a standard testing process.
A microservices architecture is a design approach for building a single application as a collection of microservices. Each service runs in its own process and communicates with other services through a well-defined interface using a lightweight mechanism, usually an HTTP-based Application Programming Interface (API). Microservices are built on the basis of business capabilities; Each service is scoped for a single purpose. You can use different frameworks or programming languages to write and deploy microservices independently, as a single service, or as a group of services.
Infrastructure as code
Infrastructure as code is a practice in which infrastructure is provided and managed using code and software development techniques, such as version control and continuous integration. The API-based cloud model allows developers and system administrators to interact with the infrastructure programmatically and at scale, rather than having to manually set up and configure resources. Thus, engineers can interact with the infrastructure using code-based tools and manipulate the infrastructure in a similar way to how they treat application code. Defined by code, infrastructure and servers can be quickly deployed using standardized patterns, kept up to date with the latest patches and releases, or iterated in repeatable ways.
Developers and system administrators use the code to automate operating system, host configuration, operational tasks, and more. Using code makes configuration changes repeatable and standardized. Frees developers and system administrators from manual configuration of operating systems, system applications, or server software.
Politics as a symbol
With the infrastructure and its modular configuration with the cloud, organizations can monitor and enforce compliance dynamically and at scale. Thus the infrastructure described in the code can be tracked, validated and reconfigured in an automated way. This makes it easier for organizations to control changes to resources and ensure that security measures are properly implemented in a distributed manner (for example, information security, PCI-DSS, or HIPAA compliance). This allows teams within the organization to move faster as non-compliant resources can be automatically flagged for further investigation or even automatically returned to compliance.
Monitoring and Recording
Organizations monitor metrics and records to see how the performance of applications and infrastructure affects the end-user experience of their product. By capturing, categorizing and then analyzing the data and logs generated by applications and infrastructure, organizations understand how changes or updates affect users and gain insight into the root causes of problems or unexpected changes. Active monitoring is becoming increasingly important as services must be available 24/7 and applications and infrastructure are updated frequently. Creating alerts or running real-time analytics on this data also helps organizations to proactively monitor their services.
Communication and Collaboration
Increasing communication and collaboration in the organization is a key cultural aspect of DevOps. Using DevOps tools and automating the software delivery process creates collaboration by physically bringing together workflows, development responsibilities, and operations. Thus, these teams have developed strong cultural norms around sharing information and facilitating communication through the use of chat applications, issue tracking systems, projects, and wikis. This helps speed up communication between developers, operations, and even other teams such as marketing or sales, allowing all parts of the organization to align more closely with goals and projects.