Our customer is a leading global e-commerce company that offers a wide variety of products, including electronics, clothing, home goods, books, and more, catering to individual consumers and businesses. They operate in multiple countries, often with localized versions of its online platforms to cater to regional markets.
The company struggled with slowdowns and unreliable data pipelines, often leading to delays in data processing and analytics. Inefficient resource utilization led to higher costs without corresponding
benefits in data processing or business insights. Notably, worker job utilization showed values between 20% and 40% for the entire duration, indicating over-provisioning and idle Spark executors, which
resulted in unnecessary costs. Limited observability into the data pipelines made it difficult to identify and diagnose issues, adversely affecting decision-making processes.
CloudifyOps leveraged new AWS Glue enhancements to provide the e-commerce company with sophisticated tools to monitor and debug data pipelines. They enabled the use of around 132 metrics on the CloudWatch dashboard. CloudifyOps helped showcase metrics data generated when loading data with Apache Spark and AWS Glue from a relational database to a data lake with SQL-based transformations. Additionally, they created CloudWatch alarms for various metrics such as resource utilization (memory and disk), normalized error classes (compilation, syntax, user or service errors), and throughput for each source or sink. The solution also simplifies observability for AWS Glue jobs using dashboards for insight metrics that support real-time monitoring with Amazon Managed Grafana, and facilitate visualization and analysis of trends with Amazon QuickSight.
After implementing a strategy focused on four pillars of end-to-end visibility and control over data pipelines, the company saw transformative changes.
After implementing a strategy focused on four pillars of end-to-end visibility and control over data pipelines, the company saw transformative changes.
Enhanced Data Visibility: Over 130 CloudWatch metrics were utilized to enhance visibility.
Automated Alerts: CloudWatch alarms were set for various operational metrics.
Improved Data Insights: Integration with Amazon Managed Grafana and Amazon QuickSight enabled real-time monitoring and trend analysis.
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