Operations | Monitoring | ITSM | DevOps | Cloud

Software delivery is more complex than ever. Teams need speed, reliability, and scalability to stay competitive. Site Reliability Engineering (SRE), DevOps, and Platform Engineering are three key disciplines that address these challenges. Though these terms are often used together, they are not the same and share distinct differences. In this blog, we’ll discuss each term individually, compare SRE vs. DevOps vs. Platform Engineering, and also show how they work together.

No doubt that incidents are inevitable. However, it’s how you manage them (detect, respond to, and resolve) that matters. And a robust incident management process relies on data, not guesswork. Incident Management metrics like MTBF, MTTR, MTTF, and MTTA provide measurable insight into reliability, response time, and recovery performance. When used together, they help identify weaknesses, reduce downtime, and build more resilient systems.

For years, enterprises have turned to Oracle Cloud Infrastructure (OCI) for what it does best: powering mission-critical applications with unmatched performance, security, and predictable economics. OCI has historically staked its reputation on being the go-to platform for organizations running complex, data-intensive workloads, from core databases and ERP systems to large-scale compute clusters, while putting extra focus on security and predictable pricing.

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).

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.

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.

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.

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.

SQL Prompt’s November release brings new features to SQL Prompt AI, bug and performance fixes to SQL History and support for SQL Server 2025 preview.

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!