What is DevOps in Cloud Computing?
DevOps includes both software development and IT operations. The primary aim of DevOps is to shorten the system development life cycle and provide continuous delivery of software functions and upgrades.
DevOps Cloud Computing – How it works in the Cloud?
The operation and development team works together to realize the organizational goal to provide better results and increase efficiency. Collaboration, automation, rapid integration, continuous delivery, real-time testing, monitoring, and quick remediation are common targets.
DevOps is especially vital for Cloud computing service models. The Cloud is a fast-growing and developing technology environ. Providing subscribed users with rapidly developing deliverables as software or as a platform is a basic requirement. Integrating software as a service equal to what is available as non-cloud software is another expectation. In short, the impetus to innovate lies more on a DevOps team.
DevOps Cloud Computing Deliverables
- Reduced TAT for new deliverables.
- Better productivity and collaboration.
- Lower maintenance and upgrade costs.
- Standardized workflow for simpler replication and faster delivery of services.
- Improved quality, reusability, and reliability of all components.
- Increased success rate of digitalization strategies and project migrations.
- Frugal resource allocation concentrating more on innovation and quality of services.
DevOps Cloud Computing Issues
- Expertise: A certain level of development expertise requires to perform in-house DevOps or outsource the deliverables.
- Security concerns: Security risks are aplenty while upgrading or updating Cloud deliverables undergoing DevOps.
DevOps Cloud Computing Lifecycle
The DevOps lifecycle is defined as the process of constant improvement and self-evaluation to ensure error-free and efficient real-time software deployment and usage. A set of effective tools other than the best practices are used for developing, delivering, and maintaining software – known as DevOps toolchain.
The concept of combining development and operations personnel supports the goals of DevOps to improving collaboration between all stakeholders and individuals concerned pre or post completion of the project goals. This includes planning through delivery and automation of the delivery process in multiple ways. The primary objectives include –
- Improvement of work deployment frequency.
- Reduce error or failure rates.
- Shortens lead time between fixes.
- Improve recovery downtime without affecting developments already made.
The workflow enables an effective method to follow while executing your DevOps initiative. The method is as follows – be agile, plan, build, test, release, configure, and monitor.
DevOps Cloud Computing – Lifecycle Steps
- Monitor: Monitoring is the first task of the DevOps toolchain. Constant monitoring of applications is very important to assure optimum performance.
- Audit: This is more than just monitoring. There are regular audits of the system environ to keep track of issues or to predict them.
- Diagnose: An organization needs to diagnose the root cause of an error before continuing with the process.
- Tune: Organizations need to tune any configuration parameter that is available to them to find a solution after they’ve diagnosed the problem.
- Feedback: Finally, the Ops section of the DevOps toolchain provides the users with a feedback portion after deployment. If the operations team cannot modify the configuration parameters to resolve the problem, this anomaly is reported and it becomes a part of their regular feedback for the DevOps team in their next update, restarting the process chain again from diagnosis.
DevOps is a basic operational module and set of practices for any software or operational process-tree. Considering the rapid innovation and development of Cloud computing, DevOps will play a vital role in the consistent growth and delivery of Cloud service models to current and new users.
- Amazon’s DevOps – Tooling and infrastructure resources for DevOps practitioners
- Microsoft Azure – Plan smarter, collaborate better, and ship faster with a set of modern dev services.
- Google DevOps – Achieve elite performance in your software development and delivery