oncall
zipkin
oncall | zipkin | |
---|---|---|
14 | 36 | |
3,240 | 16,740 | |
1.3% | 0.4% | |
9.9 | 9.4 | |
4 days ago | 3 days ago | |
Python | Java | |
GNU Affero General Public License v3.0 | 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.
oncall
- Oncall: Developer-friendly incident response with brilliant Slack integration
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Show HN: I was frustrated with pricing of PagerDuty et al., so made it myself
Grafana OnCall is an OSS alternative (with a cloud offering) that works great out of the box if you are using Grafana/Grafana Alerting for monitoring your systems and want to have a pager-like system with phone/SMS/telegram integrations + it's own app. Best of all, it's self-hostable as well, which keeps me completely in control of my infra.
https://github.com/grafana/oncall
- Is there a free tool that can do a team rotation like pagerduty?
- Grafana OnCall's new on-call rotations editor with features for TZ-distributed teams is avaliable in OSS and Cloud!
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Implement DevSecOps to Secure your CI/CD pipeline
Grafana OnCall: Developer-friendly incident response with phone calls, SMS, slack, and telegram notifications.
- Which startups are made using Django?
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Grafana releases OnCall open source project
yes
- Grafana OnCall is not open source! Escalations, on-call rotations, slack notifications.
- GitHub - grafana/oncall: Developer-friendly incident response with brilliant Slack integration
- Grafana Oncall is now open source! https://github.com/grafana/oncall
zipkin
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Enhancing API Observability Series (Part 3): Tracing
When choosing distributed tracing tools, considerations include your technology stack, business requirements, and monitoring complexity. Zipkin, SkyWalking, and OpenTelemetry are popular distributed tracing solutions, each with its unique features.
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The Road to GraphQL At Enterprise Scale
From the perspective of the realization of GraphQL infrastructure, the interesting direction is "Finding". How to find the problem? How to find the bottleneck of the system? Distributed Tracing System (DTS) will help answer this question. Distributed tracing is a method of observing requests as they propagate through distributed environments. In our scenario, we have dozens of subgraphs, gateway, and transport layer through which the request goes. We have several tools that can be used to detect the whole lifecycle of the request through the system, e.g. Jaeger, Zipkin or solutions that provided DTS as a part of the solution NewRelic.
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OpenTelemetry Exporters - Types and Configuration Steps
Zipkin is a distributed tracing system used for tracking and analyzing how requests move through complex systems, especially in setups with many interconnected services, known as microservices.
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The Complete Microservices Guide
Distributed Tracing: Middleware for distributed tracing like Jaeger and Zipkin helps monitor and trace requests as they flow through multiple microservices, aiding in debugging, performance optimization, and understanding the system's behavior.
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zipkin VS openobserve - a user suggested alternative
2 projects | 8 Sep 2023
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The Unreasonable Effectiveness of Sequence Diagrams in MermaidJS
For microservice tracing, you might want to look at Zipkin [0], or OpenTelemetry [1]
[0] https://zipkin.io/
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Analytics for aspnet core apis?
I’ve not used a self-hosted solution before, but here’s one I found. https://zipkin.io/
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Show HN: Uptrace – open-source APM (alternative to Datadog, NewRelic)
> IMO the reason these vendors can and do charge so much is not because telemetry software is hard.
I always saw it as "they are charging for their polished UI/experience"
The UI of https://zipkin.io/ versus DataDog is kind of... not really in the same ballpark?
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Is there a beginners guide to adding observability to your applications?
There are the zipkin https://zipkin.io/ and jaeger https://www.jaegertracing.io/ packages/components you can use both have quickstarts if you consider that to be a beginner's guide.
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How to monitor Python application performance
Zipkin, which was developed by Twitter, is an open source tool for distributed tracing that can also be used to troubleshoot latency issues in your application. While Zipkin is Java-based, py_zipkin is an implementation for Python.
What are some alternatives?
goalert - Open source on-call scheduling, automated escalations, and notifications so you never miss a critical alert
skywalking - APM, Application Performance Monitoring System
NPushOver - Full fledged, async, .Net Pushover client
sentry-java - A Sentry SDK for Java, Android and other JVM languages.
oncall - Oncall is a calendar tool designed for scheduling and managing on-call shifts. It can be used as source of dynamic ownership info for paging systems like http://iris.claims.
Fluentd - Fluentd: Unified Logging Layer (project under CNCF)
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
opentelemetry-specification - Specifications for OpenTelemetry
questdb-slack-grafana-alerts - Example code for a tutorial for sending Slack alerts based on market data streamed to QuestDB
brave - Java distributed tracing implementation compatible with Zipkin backend services.
grafana-backup-tool - A Python-based application to backup Grafana settings by using the Grafana API
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool