OpenTelemetry is the open-source observability standard under CNCF (Cloud Native Computing Foundation), unifying distributed traces, metrics, and logs data collection. Formed from the merger of OpenTracing and OpenCensus in 2019.
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Google Cloud Monitoring (formerly Stackdriver) is Google Cloud's native observability platform, providing GCP-wide metric collection, Cloud Logging log management, and Error Reporting, with Managed Prometheus and Grafana integration.
Azure Monitor is Microsoft Azure's full-stack monitoring platform, providing VM, AKS, and application metrics, log analytics, and Application Insights APM, deeply integrated with the Azure ecosystem.
Amazon CloudWatch is AWS's native monitoring and observability service, providing metrics, logs, and alarm management across 200+ AWS services, with Logs Insights analysis and X-Ray distributed tracing.
AppDynamics, founded in 2008 in San Francisco and acquired by Cisco for $3.7 billion in 2017, is a leader in enterprise APM. Its Business Transaction engine directly links application performance to business processes.
Splunk, founded in 2003 in San Francisco, USA, is a global leader in data and observability (acquired by Cisco), providing log management, SIEM, ITOA, and application monitoring at petabyte scale for 10,000+ enterprise customers.
Grafana, created by Grafana Labs in 2014 (Stockholm/New York), is the world's most popular open-source monitoring visualization platform with 20M+ users, 100+ data sources and 30+ panel types.
Dynatrace, founded in 2005 and headquartered in Linz, Austria, is an AI-powered enterprise observability leader (NYSE: DT). Its Davis AI engine detects anomalies and pinpoints root causes, delivering unified full-stack monitoring, digital experience management, and application security.
Sentry, founded in 2008 and headquartered in San Francisco, is the leading open-source error tracking and performance monitoring platform serving 100,000+ teams. It supports 40+ language SDKs, APM distributed tracing, and Session Replay, with both SaaS and self-hosted deployment.
New Relic, founded in 2008 in San Francisco, USA, is a pioneer in Application Performance Monitoring (APM), delivering full-stack observability across APM, logs, infrastructure, and digital experience for 5M+ users worldwide.
Datadog, founded in 2010 and headquartered in New York, USA, is a leading cloud monitoring and observability platform offering infrastructure, APM, log and security monitoring with 3000+ integrations and 30000+ enterprise customers.
Thanos is a cloud-native open-source project providing highly available Prometheus setups and long-term storage, using a Sidecar architecture, and became a CNCF graduated project in 2021, used by thousands of enterprises for production observability.
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7 results shownPrometheus Monitoring System Setup: From Metric Collection to Alert Notifications
Prometheus + Grafana is the standard combination for modern monitoring. This hands-on guide walks you through building a complete Prometheus monitoring system.
Designing Prometheus Alert Rules: PromQL and Alertmanager Routing
Good alert rules first suppress noise, then notify precisely. Based on the official Prometheus docs, this article explains PromQL rule expressions and how to design Alertmanager grouping, routing, inhibition, and silences.
Log Aggregation and Query: Choosing Between Loki and ELK
Centralized log querying accelerates fault diagnosis. This article compares ELK and Grafana Loki, covering label design, LogQL queries, and turning logs into metrics in practice.
Cloud Monitoring Services Compared: CloudWatch, Azure Monitor, GCP
AWS, Azure, and Google Cloud each ship a native monitoring stack. This article compares CloudWatch, Azure Monitor, and Google Cloud Monitoring so you can pick the right approach for your cloud environment.
APM and Distributed Tracing: OpenTelemetry in Practice
When a request crosses many services, only distributed tracing reveals the full path. Based on the official OpenTelemetry docs, this article covers spans, trace context, context propagation, and sampling strategies.
Grafana Cloud Cost Attribution: Splitting Observability Spend by Team
Grafana Cloud cost attribution now extends to Synthetic Monitoring and k6 performance testing: labels break metrics, logs, traces, checks, and load-test spend down by team, environment, or service, supporting chargeback and showback.
Grafana 13.1 Released: Observability as Code and a Wider AI Assistant
Released June 24, 2026, Grafana 13.1 brings Git Sync root-level sync and signed commits, Grafana Assistant across more data sources, section-level variables GA, and a revamped query editor in public preview.