DevOps Engineers | DevOps Service Providers | Agile DevOps
With our efficient and well planned DevOps orchestration strategy, we combine business goals, toolchains, development, and operations teams, as well as automated and streamlined IT processes, along with expert DevOps consultation.
Our expert DevOps consultants use continuous planning to set goals and milestones by evaluating existing processes and systems and strategising a comprehensive roadmap. We leverage industry-leading software tools and frameworks like Docker, Puppet, Selenium, and others to create seamless DevOps automation.
Our developers at Ed Aura use continuous integration to ensure that they always have access to the most up-to-date and approved code which further avoids costly development delays by allowing many of our developers to confidently work on the same source code rather than waiting until release day to merge separate pieces of code all at once.
Our team of developers use Continuous Delivery (CD), a software development process in which code modifications from our diverse team members are automatically readied for deployment to production. We use AWS CodePipeline to practise continuous delivery, which allows us to create a process that creates code in AWS CodeBuild, runs automated tests, and releases code.
Performance deviations, availability difficulties, and functional correctness issues can all be identified with a software development procedure known as Continuous Monitoring. Our major monitoring strategies include keeping an eye on both the pre-production and production environments, as well as using Application Monitoring Tools (APM) to monitor the web, APIs, and infrastructure.
Scheduling, controlling, testing and deployment of software builds throughout each stage of development and across various environments
Increased productivity by releasing business-critical functions and new functionality at a faster rate than in the past.
Automated quality checks for efficient reduction of defects across the entire development journey.
Abstraction of development and production versions results in a more stable version of the workflow.