Category: Management & Governance

Amazon EMR provides a managed Apache Hadoop framework that makes it straightforward, fast, and cost-effective to run Apache HBase. Apache HBase is a massively scalable, distributed big data store in the Apache Hadoop ecosystem. It is an open-source, non-relational, versioned database that runs on top of the Apache Hadoop Distributed File System (HDFS). It’s built […]

Observability data provides near real-time insights into the health and performance of AWS workloads, so that engineers can quickly address production issues and troubleshoot them before widespread customer impact. As AWS workloads grow, observability data has been exploding, which requires flexible big data solutions to handle the throughput of large and unpredictable volumes of observability […]

In the first post in our series , we discussed setting up a microservice observability architecture and application troubleshooting steps using log and trace correlation with Amazon OpenSearch Service. In this post, we discuss using PPL to create visualizations in operational panels, and creating a simple incident report using notebooks. To try out the solution […]

Spark jobs running on Amazon EMR on EKS generate logs that are very useful in identifying issues with Spark processes and also as a way to see Spark outputs. You can access these logs from a variety of sources. On the Amazon EMR virtual cluster console, you can access logs from the Spark History UI. […]

Grafana is a rich interactive open-source tool by Grafana Labs for visualizing data across one or many data sources. It’s used in a variety of modern monitoring stacks, allowing you to have a common technical base and apply common monitoring practices across different systems. Amazon Managed Grafana is a fully managed, scalable, and secure Grafana-as-a-service […]