We move at high velocity so we can innovate for customers faster, adapt to changing markets better and grow more efficient at driving business results. The DevOps model enables us to achieve these results.
Increases the frequency and pace of releases so we can innovate and improve products faster. The quicker we release new features and fix bugs, the faster we can respond to our customers needs and build competitive advantage. Continuous integration and continuous delivery are practices that automate the software release process, from build to deploy.
We ensure the quality of application updates and infrastructure changes so we can reliably deliver at a more rapid pace while maintaining a positive experience for end users. We use practices like continuous integration and continuous delivery to test that each change is functional and safe. Monitoring and logging practices helps us stay informed of performance in real-time.
We operate and manage our infrastructure and development processes at scale. Automation and consistency help us manage complex or changing systems efficiently and with reduced risk. For example, infrastructure as code helps us manage our development, testing and production environments in a repeatable and more efficient manner.
We have effective teams under DevOps cultural model, which emphasizes values such as ownership and accountability. Developers and operations teams collaborate closely, share many responsibilities and combine their workflows. This reduces inefficiencies and saves time (e.g. reduced handover periods between developers and operations, writing code that takes into account the environment in which it is run).
We move quickly while retaining control and preserving compliance. We adopt a DevOps model without sacrificing security by using automated compliance policies, fine-grained controls and configuration management techniques. For example, using infrastructure as code and policy as code, you can define and then track compliance at scale.
Our in-depth experience with containerization using docker helped in to
re-engineer and deploy a large-scale web application to Kubernetes managed application for a
client of ours. This resulted in faster deployment, better management and cost
We successfully manage the cloud infrastructure of a large portal which is handling more than a billion pages a month. For the last few years, HiFX has scaled and its support team has maintained an application uptime of 99.97 [measured using third party monitoring tool Pingdom]
Automated Release Management
Hybrid Infrastructure Management
Linux / Unix Server Administration
Continuous Integration And Delivery