In this success story, we helped our client with a DevOps transformation solution. Our DevOps experts transformed the SQL scripts deployment model of the client to an automated workflow.
The best part is that we automated the deployment process with rollback, streamlined version controlling, and other optimal DevOps practices.
Get to know the client & their business challenges!
Our client is the leading American company helps its customers with rent-to-own service for key items like furniture, appliances, and electronics. They manage their data lakes in a multi-stage Databricks environment.
The client had frequent patches, upgrades, performance tuning, and other remedial DBA activities in their Databricks environment. The manual deployment of SQL scripts in this multi-stage Databricks environment would be time-consuming and redundant.
So, they were in search of DevOps experts to develop an automated deployment pipeline for their Databricks environment. The client reached out to the AVASOFT team!
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Our solution to the client with the DevOps Transformation service!
AVASOFT DevOps experts dived in to analyze the client’s multi-stage Databricks environment. Further, we proposed the best practices to deploy the SQL scripts in different Databricks environments.
- AVASOFT team recommended GitLab for streamlined version controlling and CI/CD solution to deploy the SQL scripts.
- Our DevOps experts suggested the standard branching strategy for distinct environments in GitLab to suit their business needs.
- We suggested placing the SQL scripts as Notebook files. So, whenever there are changes in SQL scripts or data operations, the team can build, test, and deploy these Notebook files in an automated CI/CD pipeline.
- Further, we have built and set up the dedicated GitLab CI/CD pipeline for the client’s multi-stage Databricks environment.
- In addition to implementing the DevOps pipeline for their Databricks environment, we have remediated their deployment process with best practices. Here’s a glimpse of our best practice implementation.
- Configuring the pre-deployment approval to privileged user groups. This controls the critical bugs in the live Databricks environment.
- Notifying success & failure of the deployment process to the privileged users.
Business gains for the client
- Our client experienced a 65% reduction in Databricks deployment efforts. They could easily push the changes in SQL scripts to higher environments by approving the patches.
- The development teams could focus on enhancements, patches & upgrades rather than spinning around deployment complexity.
- With our best practice recommendations, they could easily roll back the changes in their data warehouse environment if required. These best practices ensured complete business continuity and data streaming to the client.
- They had no more hassles of manual deployment in a multi-stage Databricks environment.
Tech Stack
- GitLab CI/CD
- Databricks
We can take up the hectic transformation part for you! Our DevOps experts can build the CI/CD (Continuous Integrity & Continuous Deployment) pipeline from scratch or remediate the existing deployment model based on the business needs. With customized DevOps deployment workflow, your development teams could sail through the process effortlessly.
Do you face similar issues in the deployment model? What are you waiting for?
AVASOFT team is on its wings to assess and help you transform to the best DevOps practices for your platforms!
