Various engineering functions have to be integrated among themselves and also with the operations to deliver a continuous integration and delivery environment. There are a myriad of tools and patterns evolving in this space. Sometimes, just to find the right combination of tools that work for both engineering and operations is an interesting problem.
Review and strengthen the operational readiness of a deployment from a multitude of perspectives like data management, disaster recovery, instance failure handling, on demand scaling, etc. Perform drills by simulating various failures scenarios to observe the preparedness of the systems, monitoring solutions, diagnostic tools, etc. and undertake the resolution of issues found to ensure a better operational experience of the deployment.
Increase the value delivered to your customers using an effective build-measure-learn cycle. Facilitate release management by automating processes that accelerate the deployments into production. Set up mechanisms to capture actionable diagnostics from operational environments and deliver them to developers thus empowering them to reproduce and solve production issues.
Design and build an all purpose automation infrastructure to manage deployments across various environments like dev, qa, stage or production. A comprehensive infrastructure that is also capable of managing operational tasks like patch rollout, backup and restore, scale up and scale down, etc.
Estimate deployment capacities based on the anticipated values of different service usage parameters by running end-to-end benchmarking tests. Alternatively, measure the limits to these different service usage parameters for a given capacity of deployment.
(Re)Engineer the availability of a deployment by fine tuning individual components to increase mean time between failures (MTBF). Devise mechanisms that detect failed instances, decreased productivity or decreased cost effectiveness of the deployment and scale accordingly.
Aide in choosing the right technologies using micro benchmarks to assess on how well they fare given your use case. Beyond performance, benchmark other aspects like availability, time and effort to recover from failures, operational costs, etc.
Setup monitoring infrastructure to detect and notify about instance failures in the cloud. Infrastructures that provide various integrations for notifications and dashboards for overall assessment of a deployment.
Setup security firewalls and configure servers for protection against security threats. Automate rolling out of critical security patches across the servers in the deployment.
Reduce cost and time overhead of build-deploy-test cycles both in development and testing phases by using containers. Deploy in local developer machines or container aware cloud environments like AWS or Azure.