Updates and recent posts about Grafana Tempo..

Posts
Description

Link

@faun shared a link, 6 months, 3 weeks ago

FAUN.dev()

The Quiet Revolution in Kubernetes Security

Nigel Douglas discusses the challenges of security in Kubernetes, particularly with traditional base operating systems. Talos Linux offers a different approach with a secure-by-default, API-driven model specifically for Kubernetes. CISOs play a critical role in guiding organizations through the shif.. read more

Story

@laura_garcia shared a post, 7 months ago

Software Developer, RELIANOID

🌐 NIS2 is reshaping cybersecurity compliance across Europe.

At RELIANOID, we are fully aligned and compliant with NIS2 requirements, helping organizations strengthen their security posture. 👉 Explore more: https://www.relianoid.com/security-compliances/relianoid-nis2-compliance/ #NIS2#CyberSecurity#Compliance#Regulation#EUCompliance#InfoSec#DataProtection#Go..

Story

@ketbostoganashvili shared a post, 7 months ago

Technical Content Writer

Send emails with Vercel and Mailtrap

#transac... #email m... #vibe co... #send em... #Nocode

Learn how to integrate Mailtrap with your Vercel-hosted applications to send transactional emails with reliable delivery and comprehensive analytics.

Story

@ketbostoganashvili shared a post, 7 months ago

Technical Content Writer

Send emails with Bolt.new and Mailtrap

#transac... #email m... #send em... #vibe co... #Nocode

Learn how to integrate Mailtrap with your Bolt.new application to send transactional emails and manage contacts without writing complex code.

Link

@anjali shared a link, 7 months ago

Customer Marketing Manager, Last9

APM for Kubernetes: Monitor Distributed Applications at Scale

Understand Kubernetes APM by linking request flows with pod, node, and cluster data to get complete visibility at scale.

Story

@laura_garcia shared a post, 7 months ago

Software Developer, RELIANOID

🌊 Load Balancing Smart Wave with RELIANOID — Built for Marine Telemetry

The Smart Wave platform is key for real-time telemetry from offshore buoys, vessels, and coastal stations. But how do you ensure it performs reliably — even over satellite links? We've published a new technical guide showing how to load balance Smart Wave using RELIANOID: ✅ MQTT & TCP ingestion for ..

Knowledge base_how to load balance SMART WAVE_blue economy

Link

@faun shared a link, 7 months ago

FAUN.dev()

What makes Claude Code so damn good (and how to recreate that magic in your agent)!?

Claude Code skips the multi-agent circus. One main loop. At most, one fork in the road. Everything runs through a flat message history, tracked by a tidy little to-do list. Over half its LLM calls? Outsourced to lighter, cheaper models likeclaude-3-5-haiku. Smart split: heavyweight reasoning when y.. read more

Link

@faun shared a link, 7 months ago

FAUN.dev()

My Own DNS Server At Home

RunningBIND on Fedora with Podmanputs you in the driver’s seat—local DNS, full zone control, and no third-party middlemen. It handles staticforward/reverse zonesacross multiple IPv4 subnets, skips the mess of dynamic updates, and plugs into your router as a recursiveforwarding resolver. Call it a se.. read more

Link

@faun shared a link, 7 months ago

FAUN.dev()

Closer to the Metal: Leaving Playwright for CDP

The Browser-Use crew ditched Playwright and went straight to the Chrome DevTools Protocol. Why? Speed. Way faster element scraping, screenshots, and async automation. They didn't stop there—cooked up a custom CDP Python client with strong type safety, an event-driven core, and real support for crash.. read more

Link

@faun shared a link, 7 months ago

FAUN.dev()

The Programming Skills You Need for Today's Data Roles

New tutorials dig into usingLabel Studio + Dockerto tighten up object detection pipelines—and how to squeeze more out ofRabbitMQ + Celerywithout breaking your queue (or your spirit). Other writeups get into the weeds with LLM monitoring,Bayesian hyperparameter search, and Google’s freshly droppedLan.. read more

Grafana Tempo is a distributed tracing backend built for massive scale and low operational overhead. Unlike traditional tracing systems that depend on complex databases, Tempo uses object storage—such as S3, GCS, or Azure Blob Storage—to store trace data, making it highly cost-effective and resilient. Tempo is part of the Grafana observability stack and integrates natively with Grafana, Prometheus, and Loki, enabling unified visualization and correlation across metrics, logs, and traces.

Technically, Tempo supports ingestion from major tracing protocols including Jaeger, Zipkin, OpenCensus, and OpenTelemetry, ensuring easy interoperability. It features TraceQL, a domain-specific query language for traces inspired by PromQL and LogQL, allowing developers to perform targeted searches and complex trace-based analytics. The newer TraceQL Metrics capability even lets users derive metrics directly from trace data, bridging the gap between tracing and performance analysis.

Tempo’s Traces Drilldown UI further enhances usability by providing intuitive, queryless analysis of latency, errors, and performance bottlenecks. Combined with the tempo-cli and tempo-vulture tools, it delivers a full suite for trace collection, verification, and debugging.

Built in Go and following OpenTelemetry standards, Grafana Tempo is ideal for organizations seeking scalable, vendor-neutral distributed tracing to power observability at cloud scale.