Confused by what is opentelemetry? We break down the basics of OTel, the Collector, and how to instrument your apps in our all-in-one OTel learning hub.
Learn how the SigNoz MCP server automates the full on-call lifecycle — from creating alerts for new services to generating handoff briefs, auditing alert fatigue, and compiling postmortem evidence packs.
Learn how the SigNoz MCP server lets you investigate incidents faster — tracing errors to their origin, identifying latency bottlenecks, and determining whether multiple alerts represent one incident or several.
Learn how the SigNoz MCP server lets you investigate logs and traces from plain English — whether you're starting from a vague symptom or a known failure.
Learn how the SigNoz MCP server lets you create and spin up dashboards from plain English. Whether you're onboarding a new service or responding to an active incident.
Learn how the SigNoz MCP server brings observability into the development and release lifecycle — catching performance problems during development and validating deployments the moment they go out.
How SigNoz rebuilt its internal observability system to monitor its own cloud platform, ingesting 21 billion metric points, 14 TB of logs, and 10 TB of traces every day across six regions.
SREcon26 Americas has no way to filter talks by topic. Here's the observability-focused guide to the schedule, covering the talks worth your time if you're there to learn about monitoring, OpenTelemetry, metrics costs, and LLM observability.
When AI handles 95% of your incident response, do you get worse at handling the 5% that actually matters? Exploring the ironies of automation applied to SREs and the growing deskilling risk.
Datadog is a powerful observability platform, but its complex pricing model often leads to surprise bills. Learn about the key pricing caveats, breakdown of core costs, and why SigNoz offers a simpler, more transparent alternative built on OpenTelemetry.
Explore five lesser-known trace sampling strategies beyond head and tail-based sampling that can help you reduce observability costs while maintaining visibility.
Understand OpenTelemetry Resource Attributes - Learn how to set standard keys, manage precedence between sources, and enforce data quality across teams.
A comprehensive guide to the OpenTelemetry Collector Contrib distribution. Learn how it differs from Core, its architecture, and how to build your own.
High cardinality crashes Prometheus servers and inflates cloud bills. Learn what causes cardinality explosion, how different databases handle it, and strategies to manage it.
A comprehensive guide to OTLP - the vendor-neutral protocol unifying traces, metrics, and logs transmission. Learn about its goals, architecture, and how it helps solve observability fragmentation.
Master Redis monitoring with our comprehensive guide covering essential performance metrics, memory management, alerting strategies, and comparison of top monitoring tools including SigNoz, Prometheus, and Grafana for 2026.
Discover the best distributed tracing tools for microservices in 2026. Compare features, benefits, and use cases to optimize your application performance.
We recently overhauled how we store JSON logs in ClickHouse to improve query performance and enable filtering of nested dot-notation keys, which was previously not possible. What started as an investigation into filtering inconsistent dot-key notation in JSON logs ended up optimising our query performance by 30%.
Tired of unpredictable Datadog bills? We analyze cost-effective Datadog alternatives like Grafana, New Relic, and ELK, and show why SigNoz is the best choice.
This blog is an attempt for anyone lost to find their way into observability and a wake-up call for devs to they should think about observability more actively today than ever before.
Explore powerful real-world observability patterns in your Next.js application using OpenTelemetry and SigNoz—from tracking 404s to monitoring third-party APIs, capturing exceptions, analyzing cache hit/miss, and more.
Learn how to deploy OpenTelemetry-instrumented Next.js apps to production with Vercel or self-hosted infra. This guide covers collector vs direct exporter setups, alerting, sampling, and data sanitization best practices.
Learn how to collect logs from .NET applications using OpenTelemetry. This guide includes configuring the ILogger interface and using OpenTelemetry to correlate logs with traces.
Current observability tooling significantly lags behind user expectations by failing to support a critical capability - querying across different telemetry signals. This limitation turns what should be powerful correlation capabilities into mere “correlation theater” – a superficial simulation of insights rather than true analytical power.
Learn how to set up `logspout-signoz` for effective log collection, labeling, and forwarding from Docker containers to SigNoz. Simplify your log management and improve observability.
Learn the essentials of O11y (Observability) in this beginner's guide. Discover how to implement it effectively to improve system performance and reliability.
When you think about observability? Do you just think of it as an insurance? Or do you think of it as a growth driver? In this article, we will discuss how observability can be a growth driver for your business.
I’d like to write a bit about how Observability costs are significant, how these costs tend to be justified, and how precise amount a company spends on *anything* tends to be more subjective than you’d think. This article is not about how to reduce or control these costs, but rather how the costs are justified.
Container environments are dynamic and ephemeral. Monitoring a container-based environment is very different from monitoring a VM-based or physical machine-based environment...
While observability is more about correlated telemetry signals to drive contextual insights, monitoring is about capturing metrics and keeping a check on thresholds...
We believe the aim of observability is to solve customer issues quickly. Creating monitoring dashboards is useless if it can’t help engineering teams quickly identify the root causes of performance issues...