Adil Analytics' Approach

While Dev Ops looks to be simple integration between two teams, implementing software systems, and getting results; it can be much more challenging than that. Adil Analytics uses Dev Ops development strategies for tackling real world problems using prominent industry solutions.

Adil Analytics implements the DevOps lifecycle using…


Agile Development: We go agile to let our customers iterate for every release, leading to a deployable product that scales efficiently overtime.


Pipelines: The powerful solution that lets developers build, test, and deploy code directly from a hub.


Dockerize: Containerizing, the latest craze that we use to deploy applications faster and easier.


Automation: We use automation testing, which squashes program bugs to ensure each iteration will be the best version.

Dev Ops is the practice of operation and development engineers participating together in the entire service life-cycle, from design through the development process to production support. Dev Ops is also characterized by operations staff making use of many of the same techniques as developers for their systems' work. Those techniques can range from using source control, to testing, to participating in an Agile development process. These two teams are merged into a single team where the engineers work across the entire application life-cycle, from development and testing, to deployment to operations, and develop a range of skills not limited to a single function. Quality assurance and security teams may also become more tightly integrated with development and operations throughout the application life-cycle.