Shorten the development to deployment lifecycle
To enable instant change deployment
Reduce downtime during deployment & errors caused by manual intervention
Optimize tooling expenditure, increase productivity
DevOps is a paradigm that is synonymous with cloud adoption. This trend is not limited to selection and usage of toolchain or pipeline automation. Enterprises need to adopt a transformation approach to DevOps adoption. AWS as a public cloud provider has matured over the years, beyond hosting enterprise application workloads, as a premier IaaS platform.
There are many challenges faced by the enterprises in migrating legacy applications to the cloud or creating cloud-native architecture for new applications. Newt Global, an experienced IT services player has residual expertise in DevOps, honed by its life-cycle approach to adoption. The client engagements are delivered through a time tested model of – CIO (consult, implement, optimize.) .
Newt has many active client engagements for cloud migration and DevOps adoption using a plethora of Open source tools and internally developed automation frame-works. In many customer engagements GitHub, Jenkins/Jira for CI/CD; test automation with JMeter, Selenium, and Sonar Qube; Infrastructure automation with Ansible, Chef and release automation with Xebia Labs have been used extensively. Post implementation, Newt has enabled monitoring capabilities at client sites with ELK, New Relic, Splunk-a set of open source tools.
As an Advanced Consulting partner of AWS, with its focus on DevOps competency Newt will further enhance its value proposition to enterprises. Backed by domain expertise and a pool of trained and AWS certified engineers, Newt will provide end to end DevOps services, moving forward. The Center of Excellence would leverage the AWS services like Code Pipelines, Code Build and CodeDeploy in all its cloud migration projects. Newt has also modernized legacy enterprise application with Micro-services architecture and deployed them in private/public cloud environments using Docker and Kubernetes. In the future the aim would be to use ECS and EKS as well as Lambda services of AWS.
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