Operations | Monitoring | ITSM | DevOps | Cloud

As enterprise IT environments evolve into ever-greater complexity and scale, demands on operations teams are accelerating. In the traditional model, observability tools collect data, engineers manually correlate events, and remediation follows a ticketing trail. However, that approach no longer matches the speed and scale of today’s digital businesses. Even the most storied dashboards can’t address today’s operational needs.

I recently spoke with a CIO who had committed a large amount of IT resources to manually migrating computers from Windows 10 to Windows 11. The process required months of planning, device assessments, compatibility testing and hands-on coordination to avoid disruptions to day-to-day business operations. While their dedication ensured their rollout was on track for the looming Windows 11 end-of-support date, it highlighted the strain such projects place on internal teams.

For AI companies, the landscape of cloud computing has always been a balancing act between innovation, costs, and compliance. That’s where Civo comes in. Offering a full cloud offering with GPUs, but without the usual headaches, Civo provides a rare combination: true data sovereignty and zero data egress charges. Let’s break down why these two features should be non-negotiables for your AI infrastructure.

A great status page does more than show uptime—it builds trust, communicates clearly during incidents, and empowers users to stay informed. Here are 10 standout examples of public status pages, with a quick breakdown of what they do well—and where there’s room for improvement.

It’s official: Grafana 12.1 is here! The latest release delivers new features that simplify the management of Grafana instances, streamline how you manage alert rules (so you can find the alerts you need, when you need them), and more. Grafana 12.1: Download now! Below are just some of the highlights from the latest Grafana release. If you are looking for more details about all the changes in this release, refer to the changelog or the What’s New documentation.

Deploying a new service shouldn’t break dashboards. But it happens, usually because metric names or labels aren’t consistent across teams. You end up with traces that don’t link, metrics that don’t align, and queries that take hours to debug, not because the system is complex, but because the telemetry is fragmented. OTel Weaver addresses this by enforcing OpenTelemetry semantic conventions at the source.

When you export OpenTelemetry metrics to Prometheus, resource fields like service.name or deployment.environment don’t show up as metric labels. Prometheus drops them. To use them in queries, you’d have to join with target_info: This makes filtering and grouping more difficult than necessary. Prometheus 3.0 changes that. It supports resource attribute promotion—automatically converting OpenTelemetry resource fields into Prometheus labels.

If you are looking to renew your organisation’s cyber insurance, you may have been optimistic that the rising price of premiums has been slowing down.

A runbook template is only valuable if your team actually uses it during incidents. Yet many organizations create elaborate documentation that sits untouched in wikis, gathering digital dust while engineers scramble through incidents without guidance. The difference between a runbook that gets used and one that doesn't comes down to practicality, accessibility, and continuous improvement. Let's explore how to create runbook templates that become essential tools rather than checkbox exercises.

This blog post was originally authored by Prajakta Tamhankar, whose insights and expertise shaped much of the content you’ll read here. We are thrilled to announce the General Availability (GA) of Table Partitions for PostgreSQL users in Flyway v8.0.2. This new functionality is designed to enhance your database management experience by providing robust support for table partitions, including sub-partitions and range partitions.