Improved Data Pipeline Availability2021-07-30T07:19:00+00:00

24×7 monitoring and support using highly available, robust systems

Built and managed highly available, scalable and robust systems utilizing its capabilities on the data engineering and DevOps side to provide 24/7 monitoring and support to the client’s cloud offerings

Business Challenges

The client enables the IT teams to build and operate powerful multi-cloud architectures and wanted a customized, stable, and highly scalable solution to get faster real-time insights using big data analytics. They wanted a solution that could improve data pipeline availability and stability, provide real-time data ingestion and reduce cost and optimize the infrastructure.

Sigmoid’s Solution

Sigmoid proposed automation to resolve existing issues like Hadoop job failures, the poor performance of Elasticsearch, and other system issues. To improve the data pipeline availability and stability, in-depth monitoring and alerting were performed. We also developed tools, scripts for monitoring and code deployment, thereby ensuring 24/7 monitoring of production and staging pipeline.

Business Impact

Delivered nearly 60% reduction in operations cost and 55% reduction in new incidents reported by building and managing highly available, scalable, and robust systems.

For detailed understanding and solution, please download the case study here

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