DevOps is a model of software development that uses the principles of product mindset, agile development, and cross-functional collaboration to increase productivity and efficiency.
DevOps seeks to foster collaboration between development and operations teams. It encourages engineers to work across the entire lifecycle of the application. QA, performance, design, and security are integrated into the development process from the very beginning.
DevOps is all about breaking down the barriers between siloed teams. In particular, it seeks to connect the efforts of the development and operations teams. Adopting a mindset that favors collaboration between these teams allows organizations to deliver more reliable software, faster.
However, DevOps is not just about a mindset shift. It also requires reliance on the automation of processes that are historically slow and manual. To effectively implement DevOps, teams must understand the practices that facilitate successful software development. Utilizing continuous integration, building apps as microservices, improving logging and monitoring in production, and automating QA are crucial parts of an effective DevOps strategy.
Services like AWS, Azure, GitHub, and CircleCI provide the tools needed to transform businesses into DevOps-oriented organizations.
Here are some of the ways that AWS can deliver DevOps solutions that will improve the stability, speed of delivery, scalability, and security of your software.
AWS offers a suite of tools to make continuous delivery (CD) and continuous integration (CI) easy. These tools allow engineers to make small, frequent changes to the codebase. Automated tests run against every submitted code change. These manageable, frequently-tested changes ensure that new code is functional and backward-compatible.
CI and CD not only ensure more stable code, these practices increase the speed at which new code can be delivered. Microservices (a software architecture in which data concerns and UI concerns are decoupled) allow teams to have autonomy over certain parts of the codebase, which means they can act more quickly when responding to bugs or deploying changes.
AWS allows teams to automate and improve the readability of their logs and monitoring, making it easy to isolate and fix problems when they do occur. Disaster recovery times under a DevOps model can be 24x faster than under a traditional development model. Change failure rates have been shown to be up to 3x as low.
AWS Auto Scaling automatically responds to scaling needs for your app without you having to do anything. You can set up autoscaling for multiple resources in your stack and AWS will monitor those resources and scale up and down appropriately. This keeps costs low and ensures the quality of service and uptime for your applications.
AWS’s “policy as code” approach to security means that developers can configure automated policy compliance and authorization options in the same way they might configure security keys and key-value stores for an application. These policy compliance and configuration management techniques ensure policy compliance at scale.
Accountability and ownership are strongly emphasized within the DevOps cultural model, and combined workflows are necessary to deliver efficient solutions. “Two pizza” teams are kept lean and agile, and no longer need to waste time with lengthy code handovers or explanations. Keeping teams lean and highly collaborative decreases the time to market for new features, bug fixes, and organizational overhauls.
Transitioning your organization to a DevOps mindset is no easy task. It takes buy-in from many stakeholders, and the process can be painful. DataTerrain is experienced with helping legacy teams transition into the modern age of software development.
Connect with our team of experts to find out how DataTerrain can help your organization transition to the DevOps model.