uptime-kuma
prometheus
![SurveyJS Logo](https://cdn-b.libhunt.com/images/promo-campaign-images/000/000/030/main.png?1674177924)
uptime-kuma | prometheus | |
---|---|---|
353 | 387 | |
51,523 | 53,432 | |
- | 1.3% | |
9.8 | 9.9 | |
about 6 hours ago | 4 days ago | |
JavaScript | Go | |
MIT License | 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.
uptime-kuma
- Ask HN: Are you still using your Vision Pro?
-
Ask HN: How to do dead simple heartbeat monitoring?
You're looking for a dead man's switch. https://deadmanssnitch.com is a good hosted service or Uptime Kuma (https://github.com/louislam/uptime-kuma) can be configured to do the same thing.
-
Show HN: Free Certificate Monitoring via RSS
Uptime Kuma can also monitor certificate expiration; you can also enable it to show you how many days are left until it expires.
https://github.com/louislam/uptime-kuma
-
6 Best Open Source Status Page Alternatives for 2024
2. Uptime Kuma
- Uptime Kuma is an easy-to-use self-hosted monitoring tool
- Uptime-Kuma: A fancy self-hosted monitoring tool
-
Dockge: Clean Self-Hosted Docker Compose Manager by the Creator of Uptime Kuma
- Web terminal & live logs
I'm trying it as an alternative to Portainer and I'm loving it. It seems to fit perfectly in my flow.
Code and more info: https://github.com/louislam/uptime-kuma
(Not affiliated, just a happy user)
-
What do you use for external monitoring?
FYI - Uptime Kuma supports push-based monitoring as well.
-
List of your reverse proxied services
Uptime-Kuma for Watching Services
-
Where do I get this setting mentioned on Uptime Kuma help docs?
I have tunnel up and running as described on this page: https://github.com/louislam/uptime-kuma/wiki/Reverse-Proxy-with-Cloudflare-Tunnel
prometheus
-
26 Top Kubernetes Tools
Prometheus is the best-known time-series database engine. It has many use cases, but in the context of Kubernetes, it's a great way to store and query metrics that provide observability for your cluster and its workloads. You can receive alerts when metrics change, such as a Node CPU usage spike or a Pod failure, and integrate with tools like Grafana to visualize your values on dashboards.
-
Best Practices for Building Microservices with NestJS
Implement health checks and monitoring to ensure the availability and performance of your microservices. Use tools like Prometheus, Grafana, or NestJS built-in health checks.
-
Kubernetes for Beginners
Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart: https://github.com/prometheus-community/helm-charts/tree/main/prometheus Grafana Helm Chart: https://github.com/grafana/helm-charts/tree/main/grafana Elasticsearch Helm Chart: https://github.com/elastic/helm-charts/tree/main/elasticsearch Kibana Helm Chart: https://github.com/elastic/helm-charts/tree/main/kibana RBAC: https://kubernetes.io/docs/reference/access-authn-authz/rbac/ Network Policies: https://kubernetes.io/docs/concepts/services-networking/network-policies/ StatefulSets: https://kubernetes.io/docs/concepts/workloads/controllers/statefulset/ DaemonSets: https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/ Taints and Tolerations: https://kubernetes.io/docs/concepts/scheduling-eviction/taint-and-toleration/ Custom Resource Definitions (CRDs): https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/ Operators: https://kubernetes.io/docs/concepts/extend-kubernetes/operator/
-
The Impact of API Response Time on Performance: What You Need to Know
Monitoring tools and performance profiling methods are invaluable in identifying performance bottlenecks. These tools provide real-time insights into API behavior, enabling developers to spot inefficiencies and potential issues. There's a range of monitoring tools, including platforms like New Relic, Datadog, and Prometheus that offer extensive performance metrics like response times, error rates, and resource usage. Using these tools, developers can get a comprehensive view of API performance and uncover hidden problems affecting responsiveness.
- Prometheus: Open-Source Monitoring Solution
-
Release Radar ยท April 2024 Edition: Major updates from the open source community
It's like Prometheus, but for logs. Okay it's not really to do with the Norse or Greek gods, instead Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by the open source project Prometheus. Built by Grafana Labs, Loki is designed for ease of use. Instead of indexing the contents of the logs, Loki provides a set of labels for each log stream. The latest update includes query acceleration with Bloom filters, native OTel support, Helm charts, and more. Check out the changelog for all the major changes and deprecations.
-
Fivefold Slower Compared to Go? Optimizing Rust's Protobuf Decoding Performance
WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and
-
Tools for frontend monitoring with Prometheus
Developers widely use Prometheus as a system for operational monitoring and alerting for their projects. Here is a list of tools for monitoring frontend services with Prometheus.
-
The power of the CLI with Golang and Cobra CLI
Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go ๐ฟ.
-
On Implementation of Distributed Protocols
Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.
What are some alternatives?
Zabbix - Real-time monitoring of IT components and services, such as networks, servers, VMs, applications and the cloud.
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
Nginx Proxy Manager - Docker container for managing Nginx proxy hosts with a simple, powerful interface
skywalking - APM, Application Performance Monitoring System
Healthchecks - Open-source cron job and background task monitoring service, written in Python & Django
Jolokia - JMX on Capsaicin
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.
Telegraf - Agent for collecting, processing, aggregating, and writing metrics, logs, and other arbitrary data.
gatus - โ Automated developer-oriented status page
JavaMelody - JavaMelody : monitoring of JavaEE applications
Cachet - ๐ฆ The open-source status page system.
Glowroot - Easy to use, very low overhead, Java APM
![SurveyJS Logo](https://cdn-b.libhunt.com/images/promo-campaign-images/000/000/030/main.png?1674177924)