Blog
Cloud-native engineering, multi-cloud strategy, and platform deep-dives.
Discover 10 cloud cost optimization strategies that reduce spend across AWS, GCP, and Azure. Learn the order to audit idle resources, right-size workloads, automate scaling, optimize egress, and purchase commitments—so savings compound rather than stall.
DevOps bridges the gap between development and operations, aiming to shorten the system development life cycle while delivering features, fixes, and updates closely aligned with business objectives. Discover more with Control Plane.
Hybrid cloud orchestration is the practice of managing workload placement, identity federation, and observability across multiple cloud providers and on-premises infrastructure through a single control layer, rather than handling each environment separately with its own tooling. Most teams don’t plan to end up with a fragmented hybrid cloud setup — it just grows that way.
Running on Kubernetes does not make your app portable. The decisions you make in the first six weeks, like how you split services, where state lives, and how you handle config, are what keep your system from getting locked into one provider. This guide covers the 12-factor factors that matter most, microservices decomposition, declarative infrastructure, and observability you build in from the start.
Most Control Plane customers cut their compute bill 30–50%. Those results are based on two distinct autoscaling systems — Capacity AI for autonomous right-sizing, and KEDA for event-driven scaling — and a year of releases that turned both into something you can run aggressively in production. This post walks through both, then explains how they
Running live workloads across AWS, GCP, and Azure at once changes what disaster recovery means for your team. This guide covers RTO and RPO targets mapped to three workload tiers, 3-2-1 backup architecture for stateful data, priority-based DNS failover with routing tiers, and runbooks built around automated detection rather than a human noticing something is wrong.
Most engineers know pods, Deployments, and Services well enough to ship every day. The architecture beneath those abstractions gets less attention, until you’re negotiating an EKS contract or debugging a scheduler backlog at 2 a.m. This guide walks through how the control plane, data plane, etcd, kube-scheduler, kubelet, and CNI plugins fit together as a system, what breaks when they don’t, and what managed Kubernetes actually takes off your plate.
In November we shipped an MCP server at https://mcp.cpln.io/mcp. Connect any MCP-aware AI agent — Claude, Cursor, Codex, Gemini — and it can operate the full Control Plane platform from natural-language prompts. We’ve followed that up with releasing an AI Plugin that includes the MCP server along with skills, agents, slash commands, and guardrails. This
84% of companies struggle with cloud spend. Here are the 10 best FinOps tools in 2026 to prevent waste, with pricing, actionability scores, and reviews.
During the October 20th AWS outage, not one Control Plane customer went down. Here’s the architecture that made that possible, and how to assess your own.
