Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

Console Connect has expanded its global footprint with five additional Microsoft Azure ExpressRoute locations, bringing the total to 16 locations worldwide. This significant growth gives customers even more options to directly and securely connect to Azure from strategic data centre hubs in key international markets.

The sum_over_time() function in Prometheus gives you a way to aggregate counter resets, gauge fluctuations, and histogram samples across specific time windows. Instead of seeing point-in-time values, you get the cumulative total of all data points within your chosen range—useful for calculating totals from rate data, tracking accumulated errors, or understanding resource consumption patterns over custom intervals.

Many teams buy RIs with the best of intentions (predictability and up to 72% savings) only to realize later that they’ve either overcommitted or left money on the table. Without clear visibility, what starts as a smart cost-saving move can slither into silent waste. This guide will help you get ahead of that. We’ll walk you through the ins and outs of Azure Reserved Instances, compare them to other savings options, and share best practices to help you avoid common pitfalls.