<?xml version="1.0" encoding="UTF-8"?>
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    <title>metrics</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/73/feed"/>
    <updated>2026-04-21T18:10:34+00:00</updated>
    <id>https://links.biapy.com/guest/tags/73/feed</id>
            <entry>
            <id>https://links.biapy.com/links/12451</id>
            <title type="text"><![CDATA[PhpMetrics]]></title>
            <link rel="alternate" href="https://phpmetrics.github.io/website/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12451"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Beautiful and understandable static analysis tool for PHP. Set up in 5 minutes.

PhpMetrics provides metrics about PHP project and classes, with beautiful and readable HTML report.

- [PhpMetrics @ GitHub](https://github.com/phpmetrics/PhpMetrics/).

Related contents:

- [Détecter des communautés dans un graphe de dépendances @ Laravel France :fr:](https://laravel-france.com/posts/detecter-des-communautes-dans-un-graphe-de-dependances).]]>
            </summary>
            <updated>2026-04-07T10:21:43+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/12010</id>
            <title type="text"><![CDATA[DORA]]></title>
            <link rel="alternate" href="https://dora.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/12010"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Get Better at Getting Better.

 DORA is the largest and longest running research program of its kind, that seeks to understand the capabilities that drive software delivery and operations performance. DORA helps teams apply those capabilities, leading to better organizational performance. 

Related contents:

- [DORA’s software delivery performance metrics @ DORA](https://dora.dev/guides/dora-metrics/).
- [GitOps architecture, patterns and anti-patterns @ Platform Engineering](https://platformengineering.org/blog/gitops-architecture-patterns-and-anti-patterns).]]>
            </summary>
            <updated>2026-03-04T12:44:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11423</id>
            <title type="text"><![CDATA[pgmetrics]]></title>
            <link rel="alternate" href="https://pgmetrics.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11423"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Easily collect and report PostgreSQL metrics for scripting, automation and troubleshooting.

pgmetrics is an open-source, zero-dependency, single-binary tool that can collect 350+ metrics from a running PostgreSQL server and display it in easy-to-read text format or export it as JSON and CSV for scripting.

- [pgmetrics @ GitHub](https://github.com/rapidloop/pgmetrics).

Related contents:

- [Introducing pgX: Bridging the Gap Between Database and Application Monitoring for PostgreSQL @ base14](https://docs.base14.io/blog/introducing-pgx/).]]>
            </summary>
            <updated>2026-01-09T13:54:38+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/11299</id>
            <title type="text"><![CDATA[Self-Hosted Metrics (SHM)]]></title>
            <link rel="alternate" href="https://github.com/btouchard/shm" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11299"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Privacy-first, Agnostic Telemetry for Self-Hosted Software. Collect usage stats, verify active instances, and understand your user base without spying on them.]]>
            </summary>
            <updated>2025-12-23T13:41:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/19</id>
            <title type="text"><![CDATA[Coroot]]></title>
            <link rel="alternate" href="https://coroot.com/overview/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/19"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[All-in-One Observability Platform.

Coroot is an open-source APM &amp;amp; Observability tool, a DataDog and NewRelic alternative. Metrics, logs, traces, continuous profiling, and SLO-based alerting, supercharged with predefined dashboards and inspections. 

- [Coroot @ GitHub](https://github.com/coroot/coroot).]]>
            </summary>
            <updated>2025-09-04T08:28:44+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1777</id>
            <title type="text"><![CDATA[OpenTelemetry Collector]]></title>
            <link rel="alternate" href="https://github.com/open-telemetry/opentelemetry-collector" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1777"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The OpenTelemetry Collector offers a vendor-agnostic implementation on how to receive, process and export telemetry data. In addition, it removes the need to run, operate and maintain multiple agents/collectors in order to support open-source telemetry data formats (e.g. Jaeger, Prometheus, etc.) to multiple open-source or commercial back-ends.]]>
            </summary>
            <updated>2025-08-28T20:52:50+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1780</id>
            <title type="text"><![CDATA[OpenLIT]]></title>
            <link rel="alternate" href="https://openlit.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1780"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[OpenTelemetry-native GenAI and LLM Application Observability.

 Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs. 

- [OpenLIT @ GitHub](https://github.com/openlit/openlit).

Related contents:

- [Monitor Model Context Protocol (MCP) servers with OpenLIT and Grafana Cloud  @ Grafana Labs&amp;#039; Blog](https://grafana.com/blog/ai-observability-MCP-servers/).]]>
            </summary>
            <updated>2026-03-23T14:57:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/1781</id>
            <title type="text"><![CDATA[OpenLLMetry]]></title>
            <link rel="alternate" href="https://www.traceloop.com/openllmetry" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/1781"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open-source observability for your LLM application, based on OpenTelemetry.

OpenLLMetry is a set of extensions built on top of OpenTelemetry that gives you complete observability over your LLM application. Because it uses OpenTelemetry under the hood, it can be connected to your existing observability solutions - Datadog, Honeycomb, and others.

- [OpenLLMetry @ GitHub](https://github.com/traceloop/openllmetry).]]>
            </summary>
            <updated>2025-08-28T20:52:52+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2072</id>
            <title type="text"><![CDATA[M3]]></title>
            <link rel="alternate" href="https://m3db.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2072"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Metrics Engine.
Distributed TSDB and Query Engine, Prometheus Sidecar, Metrics Aggregator, and more such as Graphite storage and query engine.

M3 is a Prometheus compatible, easy to adopt metrics engine that provides visibility for some of the world’s largest brands. 

- [M3 @ GitHub](https://github.com/m3db/m3).]]>
            </summary>
            <updated>2025-08-28T21:41:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/2632</id>
            <title type="text"><![CDATA[Watt Wiser]]></title>
            <link rel="alternate" href="https://github.com/wattwisegames/watt-wiser" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/2632"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Tools to measure and visualize energy use on desktop computers.

- [Linux Dev Time – Episode 112](https://www.linuxdevtime.com/linux-dev-time-episode-112/).]]>
            </summary>
            <updated>2025-08-28T23:15:09+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3077</id>
            <title type="text"><![CDATA[Cloud Cost Exporter]]></title>
            <link rel="alternate" href="https://github.com/grafana/cloudcost-exporter" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3077"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Prometheus Exporter for Cloud Provider agnostic cost metrics.

Cloud Cost exporter is a designed to collect cost data from cloud providers and export the data in Prometheus format. The cost data can then be combined with usage data from tools such as stackdriver, yace, and promitor to measure the spend of resources at a granular level.]]>
            </summary>
            <updated>2025-08-29T00:29:24+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3105</id>
            <title type="text"><![CDATA[pganalyze]]></title>
            <link rel="alternate" href="https://pganalyze.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3105"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Postgres performance at any scale. PostgreSQL Tuning

Deliver consistent database performance and availability through intelligent tuning advisors and continuous database profiling.]]>
            </summary>
            <updated>2025-08-29T00:34:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3287</id>
            <title type="text"><![CDATA[sbomqs]]></title>
            <link rel="alternate" href="https://github.com/interlynk-io/sbomqs" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3287"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[SBOM quality score - Quality metrics for your sboms.
sbomqs is your primary tool to assess an SBOM&amp;#039;s quality and compliance. The higher the score the more consumable &amp;amp; compliant your SBOMs are.]]>
            </summary>
            <updated>2025-08-29T01:04:53+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3735</id>
            <title type="text"><![CDATA[HyperDX]]></title>
            <link rel="alternate" href="https://www.hyperdx.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3735"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Affordable full-stack production debugging &amp;amp; monitoring. Resolve Production Issues, Fast.
An Open Source Observability Platform: Unify Session Replays, Logs, Traces, Metrics and Errors – All Without the Datadog Price Tag.

Resolve production issues, fast. An open source observability platform unifying session replays, logs, metrics, traces and errors powered by Clickhouse and OpenTelemetry. 

- [HyperDX @ GitHub](https://github.com/hyperdxio/hyperdx).

Related contents:

- [Monthly Dose of Data - November 2023 @ Data Council](https://mailchi.mp/71c4ca0f5dee/talk-submissions-close-friday-vercels-guillermo-rauch-on-latest-0p-podcast-more).]]>
            </summary>
            <updated>2025-08-29T02:19:26+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/3792</id>
            <title type="text"><![CDATA[Appclacks]]></title>
            <link rel="alternate" href="https://appclacks.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/3792"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Observability tools for modern infrastructures.

Centralized Blackbox health checks configuration and a Prometheus push gateway alternative.

- [Appclacks @ GitHub](https://github.com/appclacks/).
- [Pourquoi Appclacks est la meilleure solution de health check blackbox du marché @ (mcorbin.fr) :fr:](https://mcorbin.fr/posts/2024-08-13-appclacks-pourquoi/).]]>
            </summary>
            <updated>2025-08-29T02:29:35+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4303</id>
            <title type="text"><![CDATA[Scaphandre]]></title>
            <link rel="alternate" href="https://hubblo-org.github.io/scaphandre/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4303"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[⚡ Energy consumption metrology agent. Let &amp;quot;scaph&amp;quot; dive and bring back the metrics that will help you make your systems and applications more sustainable ! 

Scaphandre [skafɑ̃dʁ] is a metrology agent dedicated to electric power and energy consumption metrics. The goal of the project is to permit to any company or individual to measure the power consumption of its tech services and get this data in a convenient form, sending it through any monitoring or data analysis toolchain.

- [Scaphandre @ GitHub](https://github.com/hubblo-org/scaphandre).

Related contents:

- [Bare-Metal Forecasting : avec OpenBareMetal, c&amp;#039;est pas Versailles ici !  @ Open Source Experience&amp;#039;s YouTube :fr:](https://www.youtube.com/watch?v=tFmAX9CBmNY&amp;amp;list=PLJjbbmRgu6RoxQGU-xebVYUVMIFRR9KNy&amp;amp;index=13).
- [\#83.src - Tech footprint: Prendre la mesure de l&amp;#039;urgence avec Benoit Petit @ &amp;lt;ifttd&amp;gt; :fr:](https://www.ifttd.io/episodes/prendre-la-mesure-de-lurgence).
- [hubblo homepage](https://hubblo.org/).]]>
            </summary>
            <updated>2025-08-29T03:54:21+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4374</id>
            <title type="text"><![CDATA[Warp 10]]></title>
            <link rel="alternate" href="https://warp10.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4374"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Most Advanced Time Series Platform.

Warp 10 is a modular open source platform shaped for the IoT that collects, stores and allows you to analyze sensor data. It offers both a Time Series Database and a powerful analysis environment that can be used together or independently.

- [Warp 10 @ GitHub](https://github.com/senx/warp10-platform).
- [Métriques : archiver des milliards de points chaque mois @ clever cloud :fr:](https://www.clever-cloud.com/fr/blog/engineering-fr/2024/04/04/metriques-archiver-milliards-de-points-tous-les-mois/).]]>
            </summary>
            <updated>2025-08-29T04:06:25+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4701</id>
            <title type="text"><![CDATA[ctop]]></title>
            <link rel="alternate" href="https://ctop.sh/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4701"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[concise commandline monitoring for containers.Top-like interface for container metrics.

ctop provides a concise and condensed overview of real-time metrics for multiple containers.

- [ctop @ GitHub](https://github.com/bcicen/ctop).

Related contents:

- [CTOP, le htop pour conteneurs ! @ Tips4tech.fr :fr:](https://blog.tips4tech.fr/ctop-le-htop-pour-conteneurs/).]]>
            </summary>
            <updated>2025-08-29T04:59:54+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/4999</id>
            <title type="text"><![CDATA[Grafana Agent]]></title>
            <link rel="alternate" href="https://grafana.com/docs/agent/latest/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/4999"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Grafana Agent is a vendor-neutral, batteries-included telemetry collector with configuration inspired by Terraform. It is designed to be flexible, performant, and compatible with multiple ecosystems such as Prometheus and OpenTelemetry.

[Grafana Agent @ GitHub](https://github.com/grafana/agent).]]>
            </summary>
            <updated>2025-08-29T05:51:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5048</id>
            <title type="text"><![CDATA[OpenMetrics]]></title>
            <link rel="alternate" href="https://openmetrics.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5048"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Evolving the Prometheus exposition format into a standard.

OpenMetrics a specification built upon and carefully extending Prometheus exposition format in almost 100% backwards-compatible ways.

[OpenMetrics @ GitHub](https://github.com/OpenObservability/OpenMetrics).]]>
            </summary>
            <updated>2025-08-29T05:59:22+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5058</id>
            <title type="text"><![CDATA[pmacct]]></title>
            <link rel="alternate" href="http://www.pmacct.net/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5058"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[IP accounting iconoclasm.

pmacct is a small set of multi-purpose passive network monitoring tools. It can account, classify, aggregate, replicate and export forwarding-plane data, ie. IPv4 and IPv6 traffic; collect and correlate control-plane data via BGP and BMP; collect and correlate RPKI data; collect infrastructure data via Streaming Telemetry. Each component works both as a standalone daemon and as a thread of execution for correlation purposes (ie. enrich NetFlow with BGP data).

[pmacct @ GitHub](https://github.com/pmacct/pmacct)]]>
            </summary>
            <updated>2025-08-29T06:00:20+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5266</id>
            <title type="text"><![CDATA[Telegraf]]></title>
            <link rel="alternate" href="https://www.influxdata.com/time-series-platform/telegraf/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5266"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Telegraf is the open source server agent to help you collect metrics from your stacks, sensors, and systems.

Telegraf is a server-based agent for collecting and sending all metrics and events from databases, systems, and IoT sensors. Telegraf is written in Go and compiles into a single binary with no external dependencies, and requires a very minimal memory footprint.

[Telegraf @ GitHub](https://github.com/influxdata/telegraf).]]>
            </summary>
            <updated>2025-08-29T06:35:42+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5297</id>
            <title type="text"><![CDATA[QuestDB]]></title>
            <link rel="alternate" href="https://questdb.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5297"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fast SQL for time-series



QuestDB is an open-source time-series database for high throughput ingestion and fast SQL queries with operational simplicity. It supports schema-agnostic ingestion using the InfluxDB line protocol, PostgreSQL wire protocol, and a REST API for bulk imports and exports.

[QuestDB @ GitHub](https://github.com/questdb/questdb).]]>
            </summary>
            <updated>2025-08-29T06:39:47+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5373</id>
            <title type="text"><![CDATA[OpenObserve]]></title>
            <link rel="alternate" href="https://openobserve.ai/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5373"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Open Source Observability Platform for Logs, Metrics, Traces, and More – Your Ultimate Dashboard for Alerts and Insights.

OpenObserve is a cloud native observability platform built specifically for logs, metrics, traces and analytics designed to work at petabyte scale.

- [OpenObserve @ GitHub](https://github.com/openobserve/openobserve).]]>
            </summary>
            <updated>2025-08-29T06:52:48+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/5614</id>
            <title type="text"><![CDATA[fluentbit]]></title>
            <link rel="alternate" href="https://fluentbit.io/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/5614"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Fluent Bit is a super fast, lightweight, and highly scalable logging and metrics processor and forwarder. It is the preferred choice for cloud and containerized environments.

- [Fluentbit @ GitHub](https://github.com/fluent/fluent-bit).]]>
            </summary>
            <updated>2025-08-29T07:32:17+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6023</id>
            <title type="text"><![CDATA[Vector]]></title>
            <link rel="alternate" href="https://vector.dev/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6023"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[A lightweight, ultra-fast tool for building observability pipelines.

- [Vector @ GitHub](https://github.com/vectordotdev/vector).

Related contents:

- [Connaissez-vous Vector @ Xavier Pestel&amp;#039;s LinkedIn :fr:](https://www.linkedin.com/posts/xavier-pestel_opensource-observabilitaez-linux-activity-7132605126703214592-h5uz).
- [Keeping Secrets Out of Logs @ allan.reyes.sh](https://allan.reyes.sh/posts/keeping-secrets-out-of-logs/).
- [From Millions to Billions @ geocodio](https://www.geocod.io/code-and-coordinates/2025-10-02-from-millions-to-billions/).]]>
            </summary>
            <updated>2025-10-14T12:21:49+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6180</id>
            <title type="text"><![CDATA[Monitorets]]></title>
            <link rel="alternate" href="https://github.com/jorchube/monitorets/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6180"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Monitorets is a small utility application offering a simple and quick view at the usage of several of your computer resources. Almost like an applet or a widget for your Linux desktop.]]>
            </summary>
            <updated>2025-08-29T09:06:59+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6221</id>
            <title type="text"><![CDATA[Splunk]]></title>
            <link rel="alternate" href="https://www.splunk.com/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6221"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The Data Platform for the Hybrid World.
The Unifier Security and Observability Platform.
A data platform built for expansive data access, powerful analytics and automation]]>
            </summary>
            <updated>2025-08-29T09:14:02+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6437</id>
            <title type="text"><![CDATA[Blackbox prober exporter]]></title>
            <link rel="alternate" href="https://github.com/prometheus/blackbox_exporter" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6437"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[The blackbox exporter allows blackbox probing of endpoints over HTTP, HTTPS, DNS, TCP, ICMP and gRPC.

- [Pourquoi Appclacks est la meilleure solution de health check blackbox du marché @ (mcorbin.fr) :fr:](https://mcorbin.fr/posts/2024-08-13-appclacks-pourquoi/).]]>
            </summary>
            <updated>2025-08-29T09:49:39+00:00</updated>
        </entry>
            <entry>
            <id>https://links.biapy.com/links/6992</id>
            <title type="text"><![CDATA[Kubernetes Metrics Server]]></title>
            <link rel="alternate" href="https://github.com/kubernetes-sigs/metrics-server" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/6992"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Metrics Server is a scalable, efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.

Metrics Server collects resource metrics from Kubelets and exposes them in Kubernetes apiserver through Metrics API for use by Horizontal Pod Autoscaler and Vertical Pod Autoscaler. Metrics API can also be accessed by kubectl top, making it easier to debug autoscaling pipelines.]]>
            </summary>
            <updated>2025-08-29T11:22:14+00:00</updated>
        </entry>
    </feed>
