Secure and Scalable CI/CD Pipeline With AWS

According to Gartner, a leading research company, worldwide public cloud revenue will grow by 17.3 percent in 2019. Total spending on IT infrastructure products (server, enterprise storage, and Ethernet switches) for deployment in cloud environments is projected to attain a 10.9% year-over-year growth rate, reaching $52.3 billion this year. Application of cloud services is growing rapidly every year than the rest of the IT. Large-scale and highly-elastic applications built on any cloud managed services come with a requirement of automatic validation, infrastructure upgrading, development and deployment, quality assurance and infrastructure administration. Traditional infrastructure management is being replaced by building CI/CD pipelines for all phases of the product development life cycle.

DevOps is a union of software development and operations. It is a culture that the company evolves from the Agile development process. The new method of Continuous Integration, Continuous Delivery, and Continuous Deployment have come with the rise of DevOps that focuses on:

CI/CD gets rid of the manual gate and implements fully automated verification of the acceptance environment to determine whether the pipeline can continue on to production or not.

Continuous Integration focuses on the software development cycle of the individual developer in the code repository. This can be executed multiple times in a day with a primary purpose to enable early detection of integration bugs, tighter cohesion, and more development collaboration. Major activities are like static code analysis, unit tests, and automated reviews.

Continuous Delivery focuses on automated code deployment in testing, staging or production environment, taking the approval of updates to achieve automated software release process, pre-emptively discovering deployment issues.

AWS provides the set of developer tools which can be used to achieve DevOps CI/CD in a fully-secured, scalable, maintainable and easy integration environment with existing CI/CD tools like Ansible, Chef, puppet, Terraform, etc.

AWS provides CI/CD for Virtual Machine or container-based services, along with options to manage (create, update and delete) all other services like databases, storage, computer, machine learning, etc.

AWS CloudFormation: Provides facility to prepare templates for infrastructure and services. Templates can be written in JSON and YAML and can be managed with versioning. These templates can be executed on Jenkins or any other CI server with AWSCLI. Terraform provides an option for AWS Resource Manager with rich controls and extension with state management. AWS OpsWorks: Provides even more levels of automation with additional features like integration with configuration management software (Chef) and application lifecycle management. AWS CodePipeline: Continuous delivery and release automation service that aids smooth deployments. Design development workflow for checking in code, building the code, deploying your application into staging, testing it, and releasing it to production. AWS CodeDeploy: Features provide the ability to deploy applications across an Amazon E2C fleet with minimum downtime, centralizing control and integrating with your existing software release or continuous delivery process. There are third-party tools like Claudia and Serverless which deploys AWS Lambda and Elastic Beanstalk. AWS ElasticBeanstalk: Supports automation and numerous other DevOps best practices including automated application deployment, monitoring, infrastructure configuration, and version management. Application and infrastructure changes can be easily rolled back as well as forward. AWS XRay: Records and tracks the communication between all services and detect the issues in performance and application permission. AWS Config: Audit tool to monitor existing AWS account resources and triggers alarm on any change in infrastructure. AWS CloudWatch: Monitors all AWS resources and applications in real time. Provides a bunch of metrics for managed services to design dashboard, alarms, and triggers.

Figure 4: Sample Pipeline using AWS and other CI tools

Today, traditional function areas are breaking down, with IT and developer roles merging and following a series of systematic principles.

In order to make the cloud software solution journey smooth, efficient and effective, one must follow DevOps principles and practices. DevOps has become an integral part of any cloud solution in today’s technology world. Many organizations offer DevOps as a service to automate your product delivery lifecycle to improve collaboration, monitoring, management, and reporting. It helps to accelerate new services through CI/CD to achieve operational flexibility, cost-effective ways of delivery and avoiding issues in production.

Source: Dzone.com

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