Operations | Monitoring | ITSM | DevOps | Cloud

Gartner predicts that AI agents will be implemented in 60% of all IT operations tools by 2028, up from fewer than 5% at the end of 2024. This acceleration has sparked an explosion of AI SRE solutions, from enterprise platforms to open-source alternatives, all promising faster root cause analysis and reduced MTTR.

Looking for Rancher alternatives? Compare the top 10 Kubernetes Management Platforms for 2026. From Qovery to OpenShift, find the best tool to scale multi-cluster operations and reduce TCO.

Discover how Qovery leverages its own platform to accelerate AI development. Learn how an AI specialist deployed a complex stack; including LLMs, QDrant, and KEDA - in just one day without needing deep DevOps or Kubernetes expertise. See how the "dogfooding" approach fuels innovation for our DevOps Copilot.

Is OpenShift becoming too expensive or complex for your team? Discover the top 3 OpenShift pain points; from the "pricing inversion" to vendor lock-in and see why agile platform teams are migrating to modular, developer-first alternatives like Qovery.

In the world of cloud-native infrastructure, complexity is the silent killer of innovation. For Cisco Outshift, the company’s incubation engine, managing a sprawling environment of AWS EKS clusters and edge-based MicroK8s workloads created a classic bottleneck: the Platform Engineering team was drowning in toil. Facing SRE burnout and the limits of human scaling, Cisco embarked on an ambitious journey to evolve its internal operations from standard DevOps to Agentic AI.

Not every workload should scale on CPU. Qovery brings event-driven autoscaling into the application lifecycle, letting applications scale on real signals like queue depth or request latency.

You’re sitting at your desk, typing away, when all of a sudden you hear a “ping!” Unfortunately, you have a browser with fifteen tabs open, a task management application, email, messaging applications, and calendars all open, making it difficult to know exactly which technology just pinged you. To identify the source, you open your system settings and look at the notifications section to see which ones you allow to make a sound.