Operations | Monitoring | ITSM | DevOps | Cloud

MRO stands for maintenance, repair, and operations. It refers to the activities, supplies, and services that keep equipment, facilities, and infrastructure running safely and efficiently. Every industry that relies on physical assets depends on MRO, whether that means replacing a worn bearing on a production line, restocking safety gloves in a warehouse, or servicing an HVAC system in a hospital.

A free plan with enough RAM for real vector search, k-NN indexing, and long-term memory for your AI projects.

KubeCon + CloudNativeCon Europe 2026 recently brought the cloud native community to Amsterdam. We were there all week bouncing between the booth, a Braintrust event with engineering leaders from across the community, and more hallway conversations than we can count. One talking point dominated the week: AI is shipping code faster than most engineering orgs can govern it. It also became clear that we weren't the only ones talking about this challenge.

APIs sit at the core of modern digital infrastructure. From e-commerce checkouts and payment processing to SaaS platforms and mobile applications, APIs move the data that keeps systems running. But APIs do not operate as a single unit. They are made up of individual endpoints, and each endpoint represents a specific function or resource that users depend on. As organizations shift toward microservices, cloud native applications, and third party integrations, the number of endpoints increases rapidly.

APIs power modern applications. Every login request, product search, payment authorization, and mobile app refresh depends on an API responding quickly and reliably. When latency increases, users feel it immediately. Pages stall. Transactions hang. Confidence drops. Most engineering teams measure API latency. Fewer truly monitor it. There is a difference. Many teams track average latency in dashboards and assume performance is healthy.

Deployment failures shouldn't require Kubernetes expertise to fix. The new AI Copilot analyzes your logs, events, and config to pinpoint the root cause and propose a fix.. in seconds.

Kubernetes (K8s) adoption has exploded over the past few years. But it hasn’t been easy to monitor, manage, and optimize K8s costs. To provide greater cost visibility into Kubernetes clusters and environments, Kubecost launched in 2019 and was acquired by IBM in 2024, while OpenCost debuted in 2022. OpenCost has several founding contributors. But Kubecost developed the cost allocation engine that the OpenCost implementation uses.