New Relic vs SigNoz

New Relic Change Tracking Brings Headless Intelligent Observability Directly into GitHub Copilot, Empowering Developers to Ship Code with Confidence

New Relic announced a new integration bringing headless intelligent observability into GitHub Copilot, and SBS scales for record FIFA World Cup audiences using New Relic Intelligent Observability.

Consolidate Observability Platform: Unify agent management and telemetry pipelines with New Relic Control

New Relic announced the general availability of Linux and Windows host-based fleet support for New Relic Control, an intelligent observability control plane. Building on existing Kubernetes support, the solution centralizes agent lifecycle management, remote orchestration, and in-flight telemetry optimization to reduce operational overhead and cloud ingest costs. Fleet Control and Agent Control are included for all platform users at no extra cost, while Pipeline Control is offered under the Advanced Compute SKU.

• New Relic Control support for Linux and Windows host-based fleets is now generally available.
• The platform consists of three core components: Fleet Control, Agent Control, and Pipeline Control.
• Agent Control is built on an extensible supervisor architecture using the Open Agent Management Protocol (OpAMP) standard, supporting New Relic agents, NRDOT collectors, Prometheus, and Fluent Bit.

New Relic Report Finds Compliance and AI Governance Drive Observability Demand in Financial Services

New Relic released its 2026 Observability Forecast for Financial Services based on a survey of 278 industry IT and engineering leaders conducted with Enterprise Technology Research. The report found that 22% of financial services companies run AI agents in production without any monitoring, creating severe compliance risks under frameworks like DORA. However, the sector plans aggressive expansion, with AI application monitoring projected to rise from 42% to 83% over the next 12 months.

• 22% of financial services firms operate AI agents in production with zero monitoring, creating compliance blind spots under regulations like DORA.
• Over the next 12 months, AI monitoring adoption in financial services is projected to reach 83% (up from 42%), while agentic AI monitoring is expected to reach 75% (up from 38%).
• Financial services detects high-impact IT outages in 35 minutes (versus 41 globally) and resolves them in 49 minutes (versus 54 globally), costing $1.69 million per hour versus $1.85 million globally.

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.

• 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.