In this success story, we helped our client with a DevOps transformation solution. Our DevOps experts transformed the SSIS deployment model of the client to an automated workflow by utilizing GitLab.
The best part is that we have regained their business continuity with minimal downtime and helped their uplines make their business decisions with appropriate analytical reports.
Get to know the client & their business challenges!
Our client is a leading sterile pharmaceutical manufacturer. They had on-premises and cloud data platforms to manage their medical data sets.
They leveraged the SSIS tool for various purposes:
- Synchronize their data platforms (the data sets were exported from on-premises SQL Database to cloud platform).
- Generate analytical reports and make critical business decisions.
The components in the SSIS package got continuous failures due to legacy versioning and incompatibility of data sets. Whenever there are changes in on-premises data sets or environments, the developer team must recreate the existing component/ package in SSIS to adopt the changes.
On dealing with a critical business failure in generating analytical reports, there was a drop in their business continuity.
The client reached AVASOFT to break-fix their deployment pipeline!
Our solution to the client with the DevOps Transformation service!
AVASOFT DevOps experts dived in to analyze the client’s SSIS packages that had broken components. Further, we proposed the best practices to deploy the SSIS packages in different environments with reduced efforts.
- AVASOFT team deployed SSIS pipeline in GitLab solution.
- We replaced existing configurations in the SSIS pipeline with dynamic variables, thereby reducing the deployment time and enhancing efficiency.
- Our DevOps experts resolved the pertaining issues in the SSIS components and suggested the best practice recommendations for the deployment of scripts. Here’s a glimpse of our recommendations to the client:
- Configuration of pre-deployment, pull requests approval to privileged user groups.
- Distinct DevOps pipelines for various environment-Development, UAT, Production.
- Migrating SSIS pipeline to the latest version.
- Notifying successful deployments, pull requests via emails to privileged user groups.
- Further on completion of regression testing, our team has built a dynamic DevOps pipeline to deploy the SQL scripts in SSIS components. So, whenever there are changes in scripts, the developer team can make changes at the backend rather than modifying the whole SSIS packages.
- Our team has completely automated the process of analytical report generation using the SSIS pipeline.
Business gains for the client
- Our client experienced a 65% reduction in deployment efforts. The DevOps pipeline made their process 5x faster with enhanced productivity.
- After implementing the DevOps pipeline, the developers could complete the deployment process in a matter of clicks. This in turn helped the developers’ team focus on operations and new feature implementation rather than the deployment process.
- The dynamic deployment pipeline made the futuristic scale-up process effortless.
- They had no more hassles of modifying, recreating the SSIS components & packages as per environmental changes.
Tech Stack
- GitLab
We are here to suggest best practice recommendations in DevOps and implement them 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!
