optimus
siren
| optimus | siren | |
|---|---|---|
| 5 | 2 | |
| 737 | 75 | |
| 0.1% | - | |
| 4.4 | 0.0 | |
| 6 months ago | about 2 months ago | |
| Go | Go | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
optimus
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Data Engineering Tools in Go
You can check odpf github, they created some dataops tools using go, one of the example is optimus (https://github.com/odpf/optimus) which is a data pipeline orchestrator
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Modern open-source data platform that empowers organizations to discover, transform, analyse and secure data faster and efficiently.
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
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Seeking opinions on workflow/DAG orchestration with Go
this may help: https://github.com/odpf/optimus
- Optimus - An easy-to-use, reliable and performant workflow orchestrator for data transformation, data modeling, pipelines and data quality management
- GitHub - odpf/optimus: Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
siren
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Modern open-source data platform that empowers organizations to discover, transform, analyse and secure data faster and efficiently.
Siren provides an easy-to-use universal alert, notification, channels management framework for the entire observability infrastructure.
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Incident management system to work with Prometheus alerts for NOC, DevOps, SRE, SOC on shift
We built https://github.com/odpf/siren for that purpose "to provide a good enough self-serve API" to work with alerts 24*7. We've been using it in prod of some time and it has served us pretty well. We also have an internal UI for incident management.
What are some alternatives?
cadence - Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
prometheus-operator - Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes
Benthos - Fancy stream processing made operationally mundane
prometheus - The Prometheus monitoring system and time series database.
goflow - A Golang based high performance, scalable and distributed workflow framework
firehose - Firehose is an extensible, no-code, and cloud-native service to load real-time streaming data from Kafka to data stores, data lakes, and analytical storage systems.
protobuf-bigquery-go - Seamlessly save and load protocol buffers to and from BigQuery using Go.
meteor - Meteor is an easy-to-use, plugin-driven metadata collection framework to extract data from different sources and sink to any data catalog.
beneath - Beneath is a serverless real-time data platform ⚡️
nightingale - An all-in-one observability solution which aims to combine the advantages of Prometheus and Grafana. It manages alert rules and visualizes metrics, logs, traces in a beautiful web UI.
dagu - Yet another cron alternative with a Web UI, but with much more capabilities. It aims to solve greater problems.
guardian - Guardian is universal data access management tool with automated access workflows and security controls across data stores, analytical systems, and cloud products.