Observed Signal · Aug 19, 2026 · Technical Release · Source: DEV Community · Impact: 1/5 · Sentiment: Positive
Deploying SigNoz with ClickHouse v25 and OTel Gotchas
A developer describes troubleshooting and deployment patterns for self-hosting SigNoz in 2026, focusing on ClickHouse v25 configuration changes, OpenTelemetry Collector incompatibilities, and Docker network isolation. Key recommendations include using config.d/users.d for ClickHouse overrides (instead of replacing the main config), enforcing a deterministic docker-compose boot sequence with one-shot migrator containers (signoz_init_clickhouse and signoz_telemetrystore_migrator), updating exporter names and image tags for the OTel collector (use signozclickhousemetrics and include the 'v' prefix), and relying on internal Docker network isolation rather than per-component passwords to simplify connectivity. The post emphasizes that maintaining self-hosted observability infrastructure requires ongoing engineering effort.
Practical, hands-on deployment guidance for SigNoz and ClickHouse v25 that matters to teams self-hosting observability but is not industry-shifting.
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Key Takeaways & Evidence Grounding
- Author self-hosted SigNoz for Verne Software to control telemetry data.
- ClickHouse v25+ changes require using config.d/ and users.d/ for overrides instead of replacing the main config file.
- SigNoz deployments must run one-shot containers (signoz_init_clickhouse and signoz_telemetrystore_migrator) to install UDFs and create required databases before starting collectors.
- OpenTelemetry Collector changes include image-tag naming (require 'v' prefix), the exporter rename from clickhousemetricswrite to signozclickhousemetrics, and removal of some CLI flags that cause crashes.
- Author recommends Docker network-level isolation (passwordless internal DSNs) and allowing anonymous ZooKeeper in private networks to avoid authentication and interpolation issues.
Connected Companies & Entities
3 Entities mapped“The entire SigNoz stack lives inside an isolated Docker network (`verne_observability`).”
“With ClickHouse 25.5.6, the configuration paradigm has shifted.”
“The entire SigNoz stack lives inside an isolated Docker network (`verne_observability`).”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Integrating AI Agents with Self-Hosted SigNoz
An engineer describes building ArcNet to instrument and monitor an AI agent fleet using a self-hosted SigNoz instance. The write-up covers installation (SigNoz v0.133.0 via foundryctl), lessons about verifying emitted OpenTelemetry attributes (the Agno instrumentor emitted OpenInference conventions rather than gen_ai.*), turning guardrail results into structured span attributes for alerting, the need to use SigNoz's v5 alerts queries payload, using raw ClickHouse SQL panels as an escape hatch, and the distinction between telemetry (traces in SigNoz/ClickHouse) and replayable session transcripts (stored separately in SQLite). The author notes SigNoz MCP was unreliable in their setup and links code on GitHub.
Hands-on Review: SigNoz Observability Experience
A developer published a hands-on review of SigNoz, an open-source observability platform built on OpenTelemetry. The author reports a simple Docker-based setup, rapid connection of a sample application, and unified visibility of logs, metrics, and traces in a single dashboard. Distributed tracing stood out as the most valuable feature, allowing full request-path visibility across services. The review highlights built-in dashboards (CPU, memory, latency, throughput, error rates) and alerting capabilities, and emphasizes the importance of observability for AI and cloud-native applications.
Install and Optimize ClickHouse on Ubuntu 26.04
A 2026 technical guide that shows how to install and optimize ClickHouse on Ubuntu 26.04 (also applicable to 24.04 and 22.04) for production bare-metal deployments. The article covers a secure modern repository setup using a GPG keyring, a tiered storage policy that routes active workloads to NVMe and archives large parts to HDD, network binding and firewall guidance, fixes for the 'Too many parts' issue via async inserts, ClickHouse's vector search (HNSW) recommendations, and replacing Apache ZooKeeper with ClickHouse Keeper. It also recommends strict memory quotas to prevent OOM and hardware choices (high-frequency CPUs) for CPU-bound vector search workloads.
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