<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Observability on Pi Stack</title><link>https://www.pistack.xyz/tags/observability/</link><description>Recent content in Observability on Pi Stack</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 20 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.pistack.xyz/tags/observability/index.xml" rel="self" type="application/rss+xml"/><item><title>OpenObserve vs Quickwit vs SigLens: Best Self-Hosted Observability Platform 2026</title><link>https://www.pistack.xyz/posts/2026-04-20-openobserve-vs-quickwit-vs-siglens-self-hosted-observability-guide-2026/</link><pubDate>Mon, 20 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/2026-04-20-openobserve-vs-quickwit-vs-siglens-self-hosted-observability-guide-2026/</guid><description>&lt;p>When your infrastructure grows beyond a handful of servers, log aggregation and observability stop being nice-to-have features and become critical operational requirements. The traditional answer — the ELK stack (Elasticsearch, Logstash, Kibana) or a SaaS platform like Datadog — comes with significant cost, com&lt;a href="https://www.plex.tv/">plex&lt;/a>ity, and data sovereignty trade-offs.&lt;/p></description></item><item><title>Grafana Pyroscope vs Parca vs Profefe: Best Self-Hosted Continuous Profiling Platforms 2026</title><link>https://www.pistack.xyz/posts/2026-04-18-grafana-pyroscope-vs-parca-vs-profefe-self-hosted-continuous-profiling-guide-2026/</link><pubDate>Sat, 18 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/2026-04-18-grafana-pyroscope-vs-parca-vs-profefe-self-hosted-continuous-profiling-guide-2026/</guid><description>&lt;p>Continuous profiling captures performance data from your running applications at all times — CPU usage, memory allocations, blocking profiles, and goroutine contention — without the overhead of manual sampling sessions. Unlike traditional profiling where you attach a profiler for a few minutes and hope to catch the problem, continuous profiling keeps a running history you can query retroactively when incidents occur.&lt;/p></description></item><item><title>pgWatch2 vs Percona PMM vs pgMonitor: Best Self-Hosted Database Monitoring 2026</title><link>https://www.pistack.xyz/posts/2026-04-18-pgwatch2-vs-percona-pmm-vs-pgmonitor-self-hosted-database-monitoring-guide-2026/</link><pubDate>Sat, 18 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/2026-04-18-pgwatch2-vs-percona-pmm-vs-pgmonitor-self-hosted-database-monitoring-guide-2026/</guid><description>&lt;p>Database performance directly impacts every layer of your application stack. When queries slow down, connection pools exhaust, or replication falls behind, you need visibility — not guesswork. Self-hosted database monitoring gives you complete control over metrics, retention, and alerting without sending sensitive query data to third-party clouds.&lt;/p></description></item><item><title>rsyslog vs syslog-ng vs Vector: Best Self-Hosted Log Aggregation 2026</title><link>https://www.pistack.xyz/posts/2026-04-18-rsyslog-vs-syslog-ng-vs-vector-self-hosted-syslog-log-aggregation-guide-2026/</link><pubDate>Sat, 18 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/2026-04-18-rsyslog-vs-syslog-ng-vs-vector-self-hosted-syslog-log-aggregation-guide-2026/</guid><description>&lt;p>Every server, container, and network device generates logs. Without a centralized collection strategy, troubleshooting means SSH-ing into individual machines, tailing files, and hoping you catch the error before it scrolls off screen. A self-hosted syslog aggregation pipeline solves this by collecting logs from all your infrastructure into a single searchable location — without sending sensitive data to a third-party cloud service.&lt;/p></description></item><item><title>Best Self-Hosted Metrics Collectors 2026: Telegraf vs StatsD vs Vector vs collectd</title><link>https://www.pistack.xyz/posts/self-hosted-metrics-collectors-telegraf-statsd-vector-collectd-guide-2026/</link><pubDate>Fri, 17 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/self-hosted-metrics-collectors-telegraf-statsd-vector-collectd-guide-2026/</guid><description>&lt;p>Every self-hosted monitoring stack starts with the same foundational question: &lt;strong>how do you get metrics from your servers, containers, and applications into your time-series database?&lt;/strong> The answer is a metrics collector — a lightweight agent that runs alongside your services, gathers system and application statistics, and forwards them to your backend of choice.&lt;/p></description></item><item><title>Complete Guide to Self-Hosted eBPF Networking and Observability: Cilium, Pixie, Tetragon 2026</title><link>https://www.pistack.xyz/posts/ebpf-networking-observability-cilium-pixie-tetragon-guide-2026/</link><pubDate>Fri, 17 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/ebpf-networking-observability-cilium-pixie-tetragon-guide-2026/</guid><description>&lt;p>The eBPF (extended Berkeley Packet Filter) revolution has fundamentally changed how we observe, secure, and manage network infrastructure. Born from the Linux kernel, eBPF allows sandboxed programs to run inside the kernel without modifying kernel source code or loading modules. This means you can intercept network packets, trace system calls, monitor application performance, and enforce security policies — all with near-zero overhead and no instrumentation changes to your applications.&lt;/p></description></item><item><title>Self-Hosted OpenTelemetry Collector: Build an Observability Pipeline in 2026</title><link>https://www.pistack.xyz/posts/self-hosted-opentelemetry-collector-observability-pipeline-2026/</link><pubDate>Fri, 17 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/self-hosted-opentelemetry-collector-observability-pipeline-2026/</guid><description>&lt;p>Observability is no longer optional for modern infrastructure. The challenge is not collecting data — it is deciding where that data goes, how to process it, and how to avoid vendor lock-in. The OpenTelemetry (OTel) Collector solves exactly this problem. It is a vendor-agnostic, open-source telemetry data plane that receives, processes, and exports traces, metrics, and logs from any source to any backend.&lt;/p></description></item><item><title>Self-Hosted Datadog Alternative: SigNoz vs Grafana Stack vs HyperDX 2026</title><link>https://www.pistack.xyz/posts/self-hosted-datadog-alternative-signoz-grafana-hyperdx-2026/</link><pubDate>Wed, 15 Apr 2026 00:00:00 +0000</pubDate><guid>https://www.pistack.xyz/posts/self-hosted-datadog-alternative-signoz-grafana-hyperdx-2026/</guid><description>&lt;p>Commercial observability platforms like Datadog, New Relic, and AppDynamics have become the default choice for monitoring modern applications. But their pricing models — often based on host count, data ingestion volume, or custom metric cardinality — can spiral into thousands of dollars per month as your infrastructure grows.&lt;/p></description></item></channel></rss>