Governance, Observability, and Troubleshooting: Let’s Talk About Your Real-Time Data Blind Spot
If you’re like most organizations, you currently have real-time data processing projects built, under construction, or planned. The
Real-time events are immutable. You can’t simply excise the bad data and inject corrected data into the space it used to occupy.
Datorios is the only observability solution specifically designed for Apache Flink. It enables you to maintain operational quality in complex real-time data environments. Detect, isolate, and resolve issues faster – across data, code, and infrastructure—before they impact your business.
Have all the relevant metrics, logs, and data traces, on one platform.
Synchronize metrics and traces from your data, code, and infrastructure so they quickly communicate the story of your Flink operations.
Understand what upstream data sources, Flink jobs, and Flink developers might have contributed to an issue.
Analyze and give you information and alerts about possible quality issues.
Give you the tools to go beyond what happened, and understand why it happened.
If you’re like most organizations, you currently have real-time data processing projects built, under construction, or planned. The
In my previous article, we dove head first together into the hows, whats, and whys of Data Lineage
In this follow-up article (see part 1), building on my initial explorations with Apache Flink, I aim to dive into
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