In this success story, we helped our client with a DataOps transformation solution. Our DataOps experts transformed the Snowflake release management of the client to an automated workflow with best practices.
The best part is that we automated the deployment process with roll-back provisioning, streamlined version controlling, and other optimal DevOps practices.
Get to know the client & their business challenges!
Our client is a leading e-commerce service provider. They manage their datasets in a multi-stage Snowflake environment.
The client had frequent patches, upgrades, performance tuning, and other remedial DBA activities in their Snowflake environment. The manual deployment of database changes in this multi-stage Snowflake environment would be time-consuming and redundant.
They were planning to automate the Snowflake deployment process from the lower environment (Development) to higher environments (Testing, Live). In addition to automating the deployment pipeline, they needed to develop the streamlined database version controlling for rollback provisioning.
So, they were in search of DataOps experts to develop an automated deployment pipeline and ensure database versioning for their multi-stage Snowflake 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 Snowflake environment. Further, we proposed the best practices to deploy the patches in different Snowflake environments.
- AVASOFT team recommended GitLab for streamlined source code version controlling.
- Our DevOps experts suggested the optimal branching strategies in GitLab to suit their business needs.
- We recommended and implemented Liquibase for their database versioning.
- Our team has built and set up the automated CI/CD pipeline for their multiple Snowflake environments.
- In addition to implementing the automated DevOps pipeline for their Snowflake 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 higher Snowflake environments.
- Notifying success & failure of patch deployment to the privileged users.
Business gains for the client
- Our client experienced a 60% reduction in efforts in the Snowflake deployment process. They could easily push the database patches to higher environments with pre-deployment approval.
- 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 database by leveraging Liquibase change logs. 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 Snowflake environment.
Tech Stack
- GitLab CI/CD
- GitLab SCM
- Snowflake
- Liquibase
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!
