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Improve reliability and reduce costs of your Apache Spark workloads with vertical autoscaling on Amazon EMR on EKS

AWS Big Data

The data, fetched from the Kubernetes Metric Server, feeds into statistical models that VPA constructs in order to build recommendations. In short, vertical autoscaling sets up VPA to track the container_memory_working_set_bytes metric for the Spark executor pods that have vertical autoscaling enabled.

Metrics 86
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How Amazon GTTS runs large-scale ETL jobs on AWS using Amazon MWAA

AWS Big Data

At a high level, the core of Langley’s architecture is based on a set of Amazon Simple Queue Service (Amazon SQS) queues and AWS Lambda functions, and a dedicated RDS database to store ETL job data and metadata. Amazon MWAA natively provides Airflow environment metrics and Amazon MWAA infrastructure-related metrics.

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

In addition, using Apache Iceberg’s metadata tables proved to be very helpful in identifying issues related to the physical layout of Iceberg’s tables, which can directly impact query performance. Orca monitored the cluster status and resource usage of Amazon EMR by utilizing the available metrics through Amazon CloudWatch.

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Amazon OpenSearch Serverless is now generally available!

AWS Big Data

For data older than 24 hours, OpenSearch Serverless only caches metadata and fetches the necessary data blocks from Amazon S3 based on query access. With Amazon CloudWatch integration, you can monitor key OpenSearch Serverless metrics and set alarms to notify you of any threshold breaches.

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Amazon OpenSearch Service H1 2023 in review

AWS Big Data

The vector engine uses approximate nearest neighbor (ANN) algorithms from the Non-Metric Space Library (NMSLIB) and FAISS libraries to power k-NN search. SS4O is inspired by both OpenTelemetry and the Elastic Common Schema (ECS) and uses Amazon Elastic Container Service ( Amazon ECS ) event logs and OpenTelemetry (OTel) metadata.

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Turning Streams Into Data Products

Cloudera

The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities. For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. Convergence of batch and streaming made easy.

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Build a real-time analytics solution with Apache Pinot on AWS

AWS Big Data

Business metrics – Providing KPIs, scorecards, and business-relevant benchmarks. million events per second, and analyzing over 10,000 business metrics across over 50,000 dimensions. In parallel, the Pinot controller tracks the metadata of the cluster and performs actions required to keep the cluster in an ideal state.

OLAP 93