Operations | Monitoring | ITSM | DevOps | Cloud

Data residency is about where data is stored and processed. Data sovereignty is about whose laws and operators can reach it. The strongest setups put regulated data in in-country regions or with sovereign providers, hold their own encryption keys, enforce placement with policy, and keep the ability to move. No single provider covers every country, so most teams combine two or three. Disclosure: Control Plane publishes this guide and is one of the options listed. This guide is not legal advice.

The best cloud migration tool depends on what you are moving, from where, to where, and whether you can afford downtime. Native tools (AWS Transform MGN, Azure Migrate, and Google Cloud Migration Center) move servers into their own cloud. Replication tools move VMs and data with minimal downtime. Kubernetes tools move containerized apps. Platforms like Control Plane let you run the same workloads in the old and new environment at once, so you cut over gradually.

Yes, it can be safe to let an AI agent change production infrastructure, if the agent works through the same controls you would demand of a new engineer: scoped permissions, short-lived credentials, a tamper-proof audit trail, changes that roll out gradually behind health checks, and a fast rollback. The infrastructure also has to be built so that one bad change cannot take everything down.

Last updated: October 21, 2026. This tracker lists every major AWS, Microsoft Azure, Google Cloud, and Cloudflare outage since January 2020, with each provider’s own stated duration, root cause, and source. It covers 62 major incidents. The median outage lasted 6h 12m, and the most common cause was a configuration or deployment change (20 of 62, 32%), not hardware failure. We add new incidents as providers publish their post-incident reports. Control Plane publishes this tracker.

The best failover solution keeps your application serving users from another location without a manual cutover. The strongest approach is active-active across two or more locations, where every location already serves live traffic, rather than restoring from backups after an outage.

The best MCP servers for DevOps depends on what you want an AI assistant to do: read code and pipelines, plan infrastructure as code, call one cloud’s APIs, observe production, or deploy and operate workloads. The safest setups combine scoped permissions, a read-only mode for investigation, confirmation before destructive actions, and an audit trail of every change.

Most cloud compute waste comes from paying for capacity your workloads do not use: over-provisioned requests, idle nodes, standby capacity, and per-service add-ons. The biggest savings come from changing how capacity is reserved and packed, not only from discounts or dashboards.

Workload identity replaces stored cloud keys with an identity the platform proves for each workload. The cloud exchanges that proof for short-lived, least-privilege credentials at runtime, so there is no long-lived key to leak, rotate, or copy.

You avoid cloud vendor lock-in by keeping the parts that are expensive to move portable: the compute runtime, identity, data, networking, and deployment tooling. You accept proprietary services only where their value clearly exceeds the exit cost, so that leaving or adding a provider is a configuration change rather than a rewrite.

A Kubernetes alternative is a platform that runs containers in production without your team operating Kubernetes clusters. The right one depends on how much reliability you need, whether you stay on one cloud, and whether your stack depends on the Kubernetes API.