DevOps Accelerator

Infrastructure as Code

• Infrastructure is managed using code and software development techniques, such as version control and continuous integration.
• Enables developers and system administrators to interact with infrastructure programmatically, and at scale, instead of needing to manually set up
  and configure resources.
• The Altis team implements this proven practice using tools like AWS CloudFormation, Ansible, Chef and Puppet.

Automate Data Quality Check & Reporting

• DataOps approach allows for Data Quality checks in the ETL pipeline, highlighting any data issues during the regression test cycle.
• Data Quality checks in production enable Data Operations to better monitor data quality during operational life cycle.
• Altis uses inhouse frameworks to implement this highly successful approach to Data Quality checks.

Auditing and Logging

• Altis’ continuous audits and logs help provide an understanding of how your data platform responds to changes in volumes, offering immediate insights into errors for faster resolution in production.
• All Altis frameworks for data platforms have inbuilt capabilities for auditing and logging, meaning they can be implemented without writing any custom code.

Integrate Business, Analytics and Engineering

• Increased collaboration leads to feedback being quickly incorporated into data pipelines and deployed into production.
• Altis uses its Agile Delivery Methodology and Data Governance approach to drive collaboration and communication between teams.

• Platform Agnostic Altis DevOps Framework
  Altis has developed a reusable DevOps framework for cloud that is platform independent. Be it Azure, AWS or GCP, Altis Framework could be used to implement DevOps practices in your organization.

• Cloud data warehouse CI/CD framework. Compatible with a range of CDWH

• Transition from CICD to DevOps to DataOps
  Using Altis Data Governance frameworks and automated Data Quality Checks for ETL pipeline, transition from DevOps to Data-Ops by improving collaboration between business, analytics and engineering teams.

• Infrastructure as Code
  Take advantage of Altis cloud infrastructure templates to avoid environment and configuration issues between environments. Automate upgrade
  and maintenance processes.