CASE STUDY: DevOps for Asia's one of the first digital banks
"We’d like to build a cutting edge DevOps capability to leapfrog competition and build a fully automated digital bank infrastructure.”
Design & development of data aggregation and event processing architectures - Redshift, Kinesis, BigQuery.
ETL, database design and data pipelines - AWS Glue, Azure Data Factory.
Machine learning toolkit deployment and configuration - AWS SageMaker, Tensorflow etc.
Analytics & reporting tools- AWS Athena & QuickSight, Azure Insights.
Deep dive review of current practices and DevOps toolkit with inhouse and partner teams to identify gaps, challenges and opportunities.
Assemble tool chain
Meticulous analysis of technology maturity, business needs and team composition to pick the right tool chains for infrastructure automation, SIEM, horizontal scaling and application performance and visibility.
Craft automation solutions, pair programming with client teams, Infrastructure-as-code, kubernetes implementation and a plethora of DevOps tasks to accelerate adoption.