NAB
signoz
| NAB | signoz | |
|---|---|---|
| 3 | 310 | |
| 1,895 | 17,025 | |
| 0.8% | 1.9% | |
| 0.0 | 9.9 | |
| 10 months ago | 2 days ago | |
| Jupyter Notebook | TypeScript | |
| GNU Affero General Public License v3.0 | GNU General Public License v3.0 or later |
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.
NAB
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Kafka Stream Processing in SigNoz - an opensource DataDog alternative
u/buzzwordd we will have an open-source anomaly detection framework that will work with SigNoz and Prometheus as a plugin. We did a small POC with some algorithms at https://github.com/numenta/NAB benchmarks and see the relevance with unsupervised and real-time training algorithms.
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Does anyone here use artificial intelligence and machine learning with their jobs?
If you need realtime training on unsupervised data, have a look at https://github.com/numenta/NAB and the benchmark solutions. I played with them some time ago and the results seemed interesting
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[P] Looking for Resources on Anomaly Detection
Also Numenta NAB paper is a good starting point. https://github.com/numenta/NAB
signoz
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Show HN: OneUptime – open-source Datadog Alternative
You should also check out SigNoz [1], we are an open-core alternative to DataDog - based natively on OpenTelemetry. We also have a cloud product if you don't want to host yourself
[1] https://signoz.io
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Indexing one petabyte of logs per day with Quickwit
You might want to have a look at SigNoz [1] as well. We have also published some perf benchmark wrt Elastic & Loki [2] and have some cool features like logs pipeline for manipulating logs before ingestion
[1] https://github.com/signoz/signoz
- Open-Source Observability – SigNoz
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Tools used by the top 1% of Platform Engineers and their Commercial Open Source Alternatives
Check Signoz's repo on GitHub
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Show HN: Quickwit – OSS Alternative to Elasticsearch, Splunk, Datadog
SigNoz maintainer here.
We also have traces, metrics and logs in a single application which makes correlation across them much easier. From what I can understand from Quickwit website, they use Grafana and Jaeger for UI.
Here'e our github repo if you want to check it out. https://github.com/signoz/signoz
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Sentry new TOS to use data to train AI with no opt-out
Using user's private with no opt-out option is unethical.
If anyone is looking self-hosted for alternatives then they should try SigNoz: https://github.com/SigNoz/signoz
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Top 11 New Relic Alternatives & Competitors
SigNoz is a great New Relic alternative that is open-source and provides three signals in a single pane of glass. You can monitor logs, metrics, and traces and correlate signals for better insights into application performance.
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Share your DevOps setups
If anyone wants to check the project, here's our github repo - https://github.com/signoz/signoz
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Amazon EKS Monitoring with OpenTelemetry [Step By Step Guide]
You need a backend to which you can send the collected data for monitoring and visualization. SigNoz is an OpenTelemetry-native APM that is well-suited for visualizing OpenTelemetry data.
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Spring Boot Monitoring with Open-Source Tools
Once the data is collected, it needs to be sent to a backend. That’s where SigNoz comes into the picture. SigNoz is an open-source OpenTelemetry-native APM that provides logs, metrics and traces under a single pane of glass.
What are some alternatives?
awesome-TS-anomaly-detection - List of tools & datasets for anomaly detection on time-series data.
skywalking - APM, Application Performance Monitoring System
Netdata - The open-source observability platform everyone needs
prometheus - The Prometheus monitoring system and time series database.
A3 - Inspired by recent advances in coverage-guided analysis of neural networks, we propose a novel anomaly detection method. We show that the hidden activation values contain information useful to distinguish between normal and anomalous samples. Our approach combines three neural networks in a purely data-driven end-to-end model. Based on the activation values in the target network, the alarm network decides if the given sample is normal. Thanks to the anomaly network, our method even works in strict semi-supervised settings. Strong anomaly detection results are achieved on common data sets surpassing current baseline methods. Our semi-supervised anomaly detection method allows to inspect large amounts of data for anomalies across various applications.
uptrace - Open source APM: OpenTelemetry traces, metrics, and logs
jaeger - CNCF Jaeger, a Distributed Tracing Platform
zipkin - Zipkin is a distributed tracing system
Sentry - Developer-first error tracking and performance monitoring
apm-server - APM Server
opentelemetry-js - OpenTelemetry JavaScript Client
PostHog - 🦔 PostHog provides open-source product analytics, session recording, feature flagging and A/B testing that you can self-host.