DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity: evolving and improving products at a faster pace than organizations using traditional software development and infrastructure management processes. This enables organizations to better serve their customers and compete more effectively in the market.
DevOps helps reduced costs, by focusing on effective utilization of our cloud resources. If the costs associated with the cloud are in check, then the costs associated with DevOps will also be in check. Use of automation to restrict the use of resources and cloud instances when not in use can prove to be an effective solution to cut down costs.
In order to provide high availability, our team ensured autoscaling of instances, high availability across multiple instances/multiple availability zones, additional security to the instances/database that are in production.
The CI/CD practice includes the setting up of effective pipeline to automate the build, integration and testing processes. By this pipeline, we minimize the time and cost of local test, QA and production processes; reduce the time it takes to identify problems and their causes; and accelerate delivery of production-ready code. In this way, we deliver faster, higher-quality applications to market.
AWS Lambda is a compute service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. With AWS Lambda, our team ran code for virtually any type of application or backend service – all with zero administration.
Infrastructure as Code is a process of managing and provisioning computing infrastructure with some declarative approach while setting their configuration using definition files instead of traditional interactive configuration tools. We used the following IAAC tools:
With the help of CloudFormation, our team model and set up your Amazon Web Services resources so that you can spend less time managing those resources and more time focusing on your applications that run in AWS.In CloudFormation, we use the templates for quick and reliable provisioning of the services or applications (called stacks). You can also easily update or replicate the stacks as needed.
It allows users to describe deployments of complex cloud applications in text files called templates. These templates are then parsed and executed by the Heat engine. It accepts AWS templates and provides a compatible API, but in recent OpenStack releases it has also begun to grow outside of the shadow of CloudFormation, providing a nicer template syntax (the Heat Orchestration Template, or HOT) and new features not supported by its competitor.
Terraform helped us in building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions. Configuration files describe to Terraform the components needed to run a single application or your entire datacenter.