Operations | Monitoring | ITSM | DevOps | Cloud

In early October, Red Hat disclosed a breach of a GitLab system used by its Consulting division. Threat actors claim to have exfiltrated hundreds of gigabytes of project data — and while investigations are still underway, reports suggest consulting engagement artifacts may have been impacted. For the organizations involved, the concern isn’t limited to reputational damage.

Modern systems are complex, distributed, and fast-changing, so keeping them reliable requires more than watching dashboards. Observability vs. Monitoring explains how teams gain the deep insight needed to detect, diagnose, and resolve issues. Monitoring collects predefined metrics and alerts you to known problems, while observability provides rich, contextual telemetry to investigate unknown failures.

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.

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.

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.

The concept of digital sovereignty has become increasingly important in today's technology-driven world. As organizations rely more heavily on cloud services and artificial intelligence (AI), they face new challenges in maintaining control over their data and IT resources. At Civo Navigate London, we brought together industry leaders to discuss the topic of digital sovereignty and its implications for the cloud industry.