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Course
@eon01 published a course, 3ย weeks, 2ย days ago
Founder, FAUN.dev

Observability with Prometheus and Grafana

Prometheus Docker k3s Grafana GNU/Linux Kubernetes

A Complete Hands-On Guide to Operational Clarity in Cloud-Native Systems

Observability with Prometheus and Grafana
Course
@eon01 published a course, 3ย weeks, 2ย days ago
Founder, FAUN.dev

Cloud-Native Microservices With Kubernetes - 2nd Edition

Helm Jaeger OpenTelemetry Prometheus Docker Grafana Loki Grafana Kubernetes Kubectl

A Comprehensive Guide to Building, Scaling, Deploying, Observing, and Managing Highly-Available Microservices in Kubernetes

Cloud-Native Microservices With Kubernetes - 2nd Edition
Course
@eon01 published a course, 3ย weeks, 2ย days ago
Founder, FAUN.dev

Building with GitHub Copilot

GitHub Copilot Go Python

From Autocomplete to Autonomous Agents

Building with GitHub Copilot
Link
@anjali shared a link, 3ย weeks, 3ย days ago
Customer Marketing Manager, Last9

Instrument Jenkins With OpenTelemetry

Instrument Jenkins with OpenTelemetry to understand pipeline behavior, stage latency, and deploy steps using a single telemetry flow.

Otel_injector
ย Activity
@devopslinks added a new tool Fleet , 3ย weeks, 3ย days ago.
ย Activity
@kaptain added a new tool Rancher Kubernetes Engine (RKE2) , 3ย weeks, 3ย days ago.
Course
@eon01 published a course, 3ย weeks, 3ย days ago
Founder, FAUN.dev

End-to-End Kubernetes with Rancher, RKE2, K3s, Fleet, Longhorn, and NeuVector

Rancher Longhorn Rancher Kubernetes Engine (RKE2) Rancher Kubernetes Engine (RKE) Fleet NeuVector k3s GNU/Linux Docker Traefik Kubectl

The full journey from nothing to production

End-to-End Kubernetes with Rancher, RKE2, K3s, Fleet, Longhorn, and NeuVector
Story
@laura_garcia shared a post, 3ย weeks, 3ย days ago
Software Developer, RELIANOID

๐Ÿ”ฅ ๐—•๐—น๐—ฎ๐—ฐ๐—ธ ๐—™๐—ฟ๐—ถ๐—ฑ๐—ฎ๐˜† ๐—ฎ๐˜ ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐——: ๐—˜๐˜…๐—ฐ๐—น๐˜‚๐˜€๐—ถ๐˜ƒ๐—ฒ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ผ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—”๐—ฟ๐—ฒ ๐—Ÿ๐—ถ๐˜ƒ๐—ฒ! ๐Ÿ”ฅ

This year, weโ€™re taking Black Friday to the next level โ€” with ๐˜๐—ฎ๐—ถ๐—น๐—ผ๐—ฟ๐—ฒ๐—ฑ ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ผ๐˜๐—ถ๐—ผ๐—ป๐˜€ designed specifically for our users, partners, and customers, who will receive their ๐—ฒ๐˜…๐—ฐ๐—น๐˜‚๐˜€๐—ถ๐˜ƒ๐—ฒ ๐—ผ๐—ณ๐—ณ๐—ฒ๐—ฟ ๐—ฑ๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—น๐˜† tomorrow, perfectly matched to their environment โžก๏ธ ๐ŸŽ ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ถ๐˜‡๐—ฒ๐—ฑ ๐—ข๐—ณ๐—ณ๐—ฒ๐—ฟ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—˜๐˜ƒ๐—ฒ๐—ฟ๐˜† ๐—ก๐—ฒ๐—ฒ๐—ฑ. ๐Ÿš€ ๐——๐—ผ ๐˜†๐—ผ๐˜‚ ๐˜„๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—ธ๐—ป๐—ผ..

Story
@thiagoterzi shared a post, 3ย weeks, 3ย days ago
CEO, dgt27

Overcoming Data Duplication in CRM Systems

Learn how to prevent and resolve CRM data duplication using automation, AI tools, and smart integrations like Marketo Salesforce integration to maintain cleaner data.

Overcoming Data Duplication in CRM Systems
Story
@laura_garcia shared a post, 3ย weeks, 4ย days ago
Software Developer, RELIANOID

๐Ÿš€ New Deployment Guide: RELIANOID Enterprise Edition v8 on Azure with Terraform

We're excited to share a 1-minute deployment guide showing how to quickly launch the RELIANOID Load Balancer Enterprise Edition v8 on Microsoft Azure using our official Terraform module. ๐Ÿ”ง Whatโ€™s inside the guide? Prerequisites (Terraform, Azure CLI, SSH keys) How to find the official Terraform modu..

terraform_relianoid_enterprise_azure_img2
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 storageโ€”such as S3, GCS, or Azure Blob Storageโ€”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.

Tempoโ€™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.