Operations | Monitoring | ITSM | DevOps | Cloud

To meet community demand, we have restored the global workload overview in Rancher Manager. After previously removing the feature due to performance constraints, we prioritized user feedback and rebuilt it from the ground up. Powered by a new, optimized API, the updated UI is both highly scalable and resilient.

Financial services in the UK operates under one of the most demanding regulatory frameworks in the world. The FCA and PRA between them set expectations for operational resilience, outsourcing, data governance, and concentration risk that shape every infrastructure decision a regulated firm makes. Cloud adoption in the sector has happened, but it's happened under regulatory scrutiny that's grown steadily more pointed over the last several years.

AI workloads have a distinctive infrastructure profile that's exposing the cost and architectural assumptions baked into public cloud over the last decade.

Most organizations know cloud costs are rising. Fewer realize that some of what they're paying isn't for infrastructure at all; it's a penalty for not being in control of it. That penalty has a name: Sovereignty Tax. It isn't a line item on your invoice. It won't appear in your cloud dashboard. But it's accumulating quietly, in egress fees, outage exposure, audit blind spots, and the creeping realization that leaving your current provider would be harder, and more expensive, than you ever anticipated.

Most organizations get the build versus buy decision wrong in the same way. They underestimate the cost of building while overestimating the cost of buying. In the recent Konstruct monthly webinar with M R Rishi (Platform Engineer at Civo), we explored the discussion surrounding whether you should build or buy your platform. If you want to watch the full discussion, watch the recording here.

A Kubernetes Operator is a method of packaging, deploying, and managing a Kubernetes application. It extends the native Kubernetes API by combining custom resources (CRDs) with a dedicated controller: a custom control loop that continuously watches the state of those resources. The primary purpose of an operator is to automate complex, stateful applications (like databases, message queues, or monitoring suites) that require human operational knowledge to maintain.

At Datadog, our broad Kubernetes footprint amplifies the significance of a familiar autoscaling tradeoff: Overprovisioning wastes cloud spend, while underprovisioning threatens reliability. We built Datadog Kubernetes Autoscaling (DKA) to help teams rightsize their workloads by generating intelligent resource recommendations and automating multidimensional workload scaling. Across Datadog, adopting DKA has eliminated more than $3 million in annualized idle compute costs while reducing reliability risks.