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The AWS Provider enables Terraform to manage AWS resources.
The Metadata Platform for your Data and AI Stack
Apache Spark - A unified analytics engine for large-scale data processing
Code and examples of how to write and deploy Apache Spark Plugins. Spark plugins allow runnig custom code on the executors as they are initialized. This also allows extending the Spark metrics syst…
Spark metrics related custom classes and sinks (e.g. Prometheus)
Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes
Use Prometheus to monitor Kubernetes and applications running on Kubernetes
Azure Synapse Spark Metrics provides easy metrics monitoring functions for Synapse services, especially, Apache Spark pool instances, by leveraging Prometheus, Grafana and Azure APIs.
This repository is for active development of the Azure SDK for Java. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/java/azure/ or our versio…
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
Apache Spark Kubernetes Operator
Kratix is an open-source framework for building platforms
Apache Polaris, the interoperable, open source catalog for Apache Iceberg
Comprehensive set of Terraform coding standards designed for enterprise-level projects
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
Reference library for parsing and loading Score files
Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
The Score Specification provides a developer-centric and platform-agnostic Workload specification to improve developer productivity and experience. It eliminates configuration inconsistencies betwe…
A list of Terraform modules to build your Azure Data IaC templates.