DevOps As A Service

DevOps as a service is a new model in software development and fosters more seamless, ongoing collaboration between the development team and operation team.

As software companies implement DevOps as a service and start using cloud systems, they have begun to automate each and every step implemented in the software development lifecycle. In this way, continuous integration and delivery (CI/CD) has been created, and much faster versions have emerged.

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DevOps as a Service Model

DevOps as a service does not just consist of an automated pipeline fitting as the best practice. There are many other DevOps Practices in DevOps as a service model.

Integrated Configuration Management:

Integrated configuration management automates tasks such as configuration and operating system settings, user operations, service settings, file jobs, security settings, continuous deployment, zero downtime rolling updates on the machines/cloud solutions where your software runs.

Continuous Integration (CI):

Continuous integration ensures that a working version is always created as a result of the work done on the code by the programmers. It is the method used to determine that the system is in working condition after automatically changing the code.

Automated Testing:

Continuous testing is another important process of the CI/CD pipeline, and it includes various test stages where automated tests are run. Basically, unit tests, static code analysis, security code analysis, integration tests, load and performance tests are all part of the continuous testing run in an automated continuous testing pipeline. Again, this works in DevOps because the operations staff's greatest need is for submitted code to meet a certain quality standard.

Continuous Delivery:

After a QA team tests the application, it is deployed to production if the Codebase passes the QA cycle. The most important point of the DevOps as a service model is creating, testing, and publishing faster and more frequent deployments by dividing the work into short cycles. This also allows organizations to deliver more versions in a much shorter time.

In production:

With DevOps, developers not only work on new releases but also experiment to address critical issues that are in production. The final teamwork involved in solving the manufacturing solution is common in this path, giving them insight into manufacturing problems that help them design better solutions.

Application Monitoring:

After the production is delivered to the customer, another critical process begins: "monitoring". Again, to prevent failures, the metrics should be reviewed continuously.

DevOps as a service model also covers

  • Account Management
  • Deployment Management
  • Monitoring Performance
  • Security of DevOps pipeline
  • Logging
  • Disaster Recovery
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DevOps as a Service AWS

Amazon Web Services (AWS) is one of the main cloud platforms that provide cloud services worldwide with more than 80 Availability Zones (AZ).

AWS has many services for DevOps practices to make companies adopt their DevOps solutions on the cloud. DevOps services such as AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, make it simple to manage infrastructure, deploy code and automate releases.

DevOps increases an organization's ability to produce software at a high velocity faster than organizations using traditional development processes. This allows companies to serve their customers better and more effectively.

DevOps as a Service AWS

Amazon Web Services (AWS) is one of the main cloud platforms that provide cloud services worldwide with more than 80 Availability Zones (AZ).

AWS has many services for DevOps practices to make companies adopt their DevOps solutions on the cloud. DevOps services such as AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, make it simple to manage infrastructure, deploy code and automate releases.

DevOps increases an organization's ability to produce software at a high velocity faster than organizations using traditional development processes. This allows companies to serve their customers better and more effectively.

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DevOps Tooling by AWS

AWS supports your company's DevOps journey with many different services and tools. With DevOps tools, you can automate tasks and manage complex and large environments faster.

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Automation

AWS helps companies take advantage of automation to build faster and more efficiently. With AWS services, manual tasks like building, deploying, testing workflows, and monitoring can be made fully automated.

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Fully Managed Services

Fully-managed services help companies leverage AWS resources faster. So companies can worry less about running the infrastructure and can focus on their products.

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Large Partner Ecosystem

AWS helps companies with partner ecosystems. Therefore, companies can choose third-party tools or open-source tools that can integrate with AWS.

DevOps as a Service Kubernetes

Kubernetes simplifies the implementation of DaaS (DevOps as a Service) if the applications and pipeline tools are containerized.

Maintaining containerized apps up and running might be a complex process since they often implicate numerous containers that are deployed across various machines. In this respect, Kubernetes helps schedule and deploy those containers.

Additionally, K8s allows you to manage their lifecycles and scale them according to your desired state and. Therefore, it is wise to implement K8s in your container-based application to have a portable, scalable, and extensible method.

Why is Kubernetes implementing DevOps as a Service model?

Working on applications running in the containerized environment is not an easy task, as many containers are deployed on different machines. Kubernetes orchestrates those multi containers with scaling up or scaling down policies more efficiently.

Kubernetes also supports your system, such as checking that your apps are running well, setting up your preferred storage system, scaling your apps, self-healing, and autoscaling can restart or reschedule failed containers when needed.

Benefits of DevOps as a Service Kubernetes

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Consistency:

All services of an application are in the containers regardless of the environment. Easier to navigate in accommodation in a new planning center of developments.

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Scalability:

Unlike VMs that use more than one gigabyte, memory containers use only megabytes. This allows you to run multiple containers from a single system and scale the VM much more efficiently.

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Flexibility:

Containers can run on Mac, Linux, and other open-source environments or Windows and cloud services and both workouts and virtual servers. This is for your entire environment to buy, so you don't have to stay relevant and transition to a platform that can also be considered for the same environments.

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Speed:

Containers are lightweight and take less than a second to launch.

How You Benefit From DevOps as a Service By NIOYATECH?

DevOps as a service helps companies grow their business, allowing them to deliver more value to the customers. Outsourcing DevOps as a service helps them with the heavy workload of manual implementation of SDLC. Our professionals are specialists in their field and act as trusted advisors, giving you sensible advice and direction on how best to implement your IT methods.

Our vision is to empower IT pioneers to make simple decisions and help IT departments find answers to achieve the right business outcomes with the right innovation. These are the benefits you receive when the required actions are taken and achieved without exception.

Why Choose NIOYATECH?

We provide independent consulting and solutions for businesses. As professionals and experts, we know the market and understand the business. We offer DevOps as a service to help and guide you to the best cloud benefits with DevOps tools for your business.

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