Operations | Monitoring | ITSM | DevOps | Cloud

What Is AWS Step Functions? A Complete Guide

Imagine you are building an e-commerce app. Every time a customer places an order, a lot happens behind the scenes. For example, you need to charge their card, update inventory, create a shipping label, and send a confirmation email. You could try to write one giant program that does everything in the correct order, but that quickly becomes a tangled mess — especially if something fails halfway through (say, payment succeeds but inventory update fails).

Grafana Tempo: Setup, Configuration, and Best Practices

As systems grow, understanding how a request moves across multiple services becomes harder. Traces help bring this picture together by showing the exact path a request takes, along with the timings that matter. Grafana Tempo is built for this kind of workload. It stores traces efficiently, works well with OpenTelemetry, and keeps the operational overhead low.

Diagnosis to Growth - CMOs Playbook to Win with Data, AI, and Unified Execution

Marketing leaders are facing mounting demands to deliver measurable ROI, yet many lack the unified visibility needed to understand what truly works across channels. Significant portions of marketing budgets are lost to inefficiency, and the problem is magnified when teams operate in silos, limiting access to data and insights that drive growth. The impact is evident.

How to Improve Your Microsoft ExpressRoute Resilience with Megaport Connectivity

Improve ExpressRoute reliability with these deployment models and strategies for stronger cloud resilience, powered by Megaport. Every year, businesses become even more reliant on their network for the success of their entire operations. For the 350,000+ companies using Microsoft Azure, building resilient, reliable network connectivity to this service is essential.

From Telemetry to Truth: Why Observability Must Be Service-Centric

Modern enterprises depend on systems that appear calm: dashboards glow, availability reads steady, and metrics suggest composure. But the signals only tell part of the story. Conversion softens at the margins, regional sign-in times drift, a compliance report misses an expected field. The puzzle isn’t visibility; it’s meaning. Components describe status; services carry outcomes.

How Datadog is Reinventing On-Call #Datadog #OnCall #DevOps

Datadog is reimagining how engineers handle incidents—moving beyond simple alerts to an intelligent, voice-driven on-call experience. With Datadog On-Call, teams can acknowledge alerts, access runbooks, post to Slack, and collaborate in real time, all before even touching their computer. See how Datadog brings incident response, communication, and automation together so you can respond faster and keep customers informed.

Building Smarter AI Products #Datadog #DASH #AI

AI capabilities are advancing faster than ever — transforming how teams design, build, and ship intelligent products. In this teaser from Building Successful AI-powered Products at Datadog DASH, experts discuss the rise of agent-based systems, evolving model capabilities, and how to stay ahead in the new era of automation.

Safely Roll Out Features with Datadog Feature Flags

In this short demo, see how Datadog Feature Flags help teams release new functionality safely and efficiently. Datadog provides advanced targeting, progressive rollouts, and automatic rollbacks — all integrated with powerful observability data. Learn how you can use simple on–off flags or multi-variant configurations to test and deploy features with confidence. With built-in monitoring of key guardrail metrics, Datadog can automatically pause or reverse rollouts when issues are detected, keeping your releases stable.

Debugging in Elixir with Observer

Erlang's Observer is often discussed in passing and regarded as a curiosity during Elixir courses. However, Observer provides many powerful tools for monitoring and debugging your application, both in development and production. Together, we will learn how to access the Observer GUI and debug a project that leaks memory, both locally and through a remote node. We will set up process tracing and track garbage collections to find the offending code in our sample project. Let's get started!