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
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.
We deliver secure, scalable, high performing and cost efficient cloud computing solutions.
We design the applications to tackle failure so that nothing fails in production. This approach
assumes that there will be a hardware or system failure somewhere, sometime and we design
applications so that recovery can be performed quickly
When it comes to starting your data journey, our experience in setting up large scale data
ingestion processes, data pipelines , data lake and visualisation ensures rapid success with your
new data initiative.
Delta Lakes brings reliability, performance and life cycle management to data lakes and you can
benefit from our expertise in managing huge data data lakes with the Delta Lake storage engines.
Accelerate all your workloads on your data lake with Delta Engine, a new query engine designed for
speed and flexibility.
We have experience setting up the Databricks Runtime for high performing Spark jobs, configuring
the notebooks and to manage production environments without compromising on security with better