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distributed tracing

Grafana Labs observability

Observability for Microservices vs Monoliths: Strategies that Worked in 2025

Learn how observability strategies differ between monolithic and microservice architectures. Explore challenges, best practices and tooling for DevOps and SRE teams in 2025 ...
Neel Shah | November 20, 2025 | AI-driven observability, centralized logging, DevOps observability strategies, distributed tracing, dynamic infrastructure observability, Grafana Honeycomb Middleware, microservices monitoring, microservices vs monoliths, monolith performance monitoring, observability, observability tools 2025, OpenTelemetry, scalable telemetry ingestion, service metrics, smart alerting, SRE best practices, telemetry data, tracing context propagation
Grafana Labs observability

Grafana Labs Dives Deeper Into Kubernetes Observability

Grafana Labs extended its observability support for Kubernetes environments to simplify monitoring and troubleshooting and reduce costs ...
Mike Vizard | March 12, 2024 | application performance, distributed tracing, Grafana Labs, kubernetes, monitoring, observability
Are You Tracing Kubernetes Effectively?

Are You Tracing Kubernetes Effectively?

Distributed tracing, like logging and observability, is a key functionality for keeping your services healthy and predictable. Contrary to logs and observability, which shows what happens on a service, tracing allows developers ...
Leonid Sandler | May 12, 2021 | containers, distributed tracing, Grafana, Jaeger, kubernetes, observability, Zipkin
distributed tracing

Enabling Distributed Tracing for Microservices With Jaeger in Kubernetes

Distributed tracing is essential for root cause analysis to understand the issues, correlation and context of the requests communicating between microservices Microservices are being adopted more in recent years across various domains, ...
Lavanya Subbarayalu | August 31, 2020 | distributed tracing, Jaeger, kubernetes, microservices, open source

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