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DevOps and Server Management

Devops and server management service - rightapp4u
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We can increase your technology business’ ability to deliver applications and services faster, using DevOps, than traditional software development processes. This speed enables organizations to better serve their customers and compete more effectively in the market

Our development and operations teams work together across the entire software application life cycle, from development and test through deployment to operations.

DevOps Tools

DevOps practices rely on effective tools to help teams rapidly 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 that is DevOps.

The DevOps workflow consists of phases:

  • Planning the next iteration of the product’s development
  • Building the code
  • Testing and deploying to the production environment
  • Delivering product updates
  • Monitoring and logging software performance
  • Gathering customer feedback

Planning. Schedule planning and task tracking tools are needed to ensure the DevOps team knows what tasks are at hand, what is currently being done, and whether there are any risks of falling behind schedule. Tools like Confluence and Jira help DevOps teams achieve a seamless and efficient project management cycle and ensure timely product delivery.

Build and delivery. Developers need rapid deployment of development and testing environments and can’t wait long for repairs when something goes wrong. Docker containerization ensures consistency across multiple development and release cycles and provides repeatable development, build, test, and production environments. Other popular tools for this phase include Kubernetes, Terraform, Chef, Ansible, and Puppet.

Testing. Look for tools such as Jenkins, CircleCI, and GitLab CI, which help minimize the time and effort devoted to testing without compromising the code quality or user experience.

Software monitoring and logging. Once software is moved to production, it must be monitored to ensure stable performance and increased customer satisfaction. This stage also involves performance analysis and logging, raising smart alerts on various issues, gathering customer feedback, and so on. Tools for performing these tasks include Prometheus, Grafana, Elastic (ELK) Stack, Splunk, and Sumo Logic.

DevOps Methodologies

DevOps is the direct descendant of agile software development, born from the need to keep up with increased software development velocity and throughput agile methods. Advancements in agile development highlighted the need for a more holistic approach to the software delivery life cycle, resulting in DevOps.

“Agile development” is an umbrella term for several iterative software development methodologies, many of which have carried over to DevOps:

  • Scrum—a framework in which people can address complex adaptive problems while delivering products of the highest possible value.
  • Kanban—a method for managing the creation of products with an emphasis on continual delivery while not overburdening the development team. Like Scrum, Kanban is a process designed to help teams work together more effectively.
  • Scaled Agile Framework (SAFe)—a set of organization and workflow patterns intended to guide enterprises in scaling lean and agile practices. SAFe is one of a growing number of frameworks that seek to address the problems encountered when scaling beyond a single team.
  • Lean development—a translation of lean manufacturing principles and practices to the software development domain. Lean offers a conceptual framework, values, and principles, as well as best practices derived from experience, that support agile organizations.
  • Extreme programming (XP)—a software development methodology intended to improve software quality and responsiveness to changing customer requirements. XP advocates frequent releases in short development cycles, intended to improve productivity and introduce checkpoints at which new customer requirements can be adopted. Other elements of extreme programming include programming in pairs or doing extensive code review, unit testing of all code, not programming of features until they are needed, a flat management structure, code simplicity and clarity, expecting changes in the customer’s requirements as time passes and the problem is better understood, and frequent communication with the customer.
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