---
# Improved Data Pipeline Availability

**URL:** https://test.sigmoid.com/case-studies/improved-data-pipeline-availability/
Date: 2020-09-29
Author: Sigmoid
Post Type: page
Summary: 24×7 monitoring and support using highly available, robust systems Built and managed highly available, scalable and robust systems utilizing its capabilities on...Read More...
Featured Image: https://test.sigmoid.com/wp-content/uploads/2023/02/improved-data-pipeline-availability-cs-thumbnail-opt.jpg
---

# 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.

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					![](/wp-content/uploads/2023/02/improved-data-pipeline-availability-cs-thumbnail-opt.jpg)

						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 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.

							[Download case study](#ip-cs-Form)

### 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.

									Watch case study

## Relevant Case Studies

									![](/wp-content/uploads/2023/02/building-robust-data-pipelines-thumbnail-opt.jpg)

#### [Building robust data pipelines for a leading investment bank to make quality datasets ready for ML use cases](/case-studies/building-robust-data-pipelines/)

									[Read case study](/case-studies/building-robust-data-pipelines/)

									![](/wp-content/uploads/2023/02/data-pipelines-performance-improvement-cs-thumbnail-opt.jpg)

#### [80% performance improvements in data pipelines](/case-studies/data-pipelines-performance-improvement/)

									[Read case study](/case-studies/data-pipelines-performance-improvement/)

									![](/wp-content/uploads/2023/02/rearchitecting-data-pipelines-cs-thumbnail-opt.jpg)

#### [10X Improvement in Dashboard Query Performance By Re-architecting Data Pipelines](/case-studies/rearchitecting-data-pipelines/)

									[Read case study](/case-studies/rearchitecting-data-pipelines/)

									![](https://test.sigmoid.com/wp-content/uploads/2023/12/Data-Analytics-For-CPG-in-the-COVID-Era-thumbnail.png)

#### [Data Analytics For CPG in the COVID Era](/blogs/role-of-data-analytics-in-cpg-companies-in-the-covid-era/)

									[Read blog](/blogs/role-of-data-analytics-in-cpg-companies-in-the-covid-era/)

									![](https://test.sigmoid.com/wp-content/uploads/2023/12/Global-COVID-19-Scenario-A-Data-Scientists-Perspective-Part-1-thumbnail.png)

#### [Global COVID-19 Scenario: A Data Scientist’s Perspective (Part 1)](/blogs/global-covid-19-scenario-a-data-scientists-perspective-part-1/)

									[Read blog](/blogs/global-covid-19-scenario-a-data-scientists-perspective-part-1/)

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