Operations | Monitoring | ITSM | DevOps | Cloud

When Monitors flags a cost spike, the fix usually belongs to an engineering team, and that team might track their work in Jira. Now you can hand the incident to them from CloudZero in one click. The Jira ticket and the CloudZero incident stay in step. When the engineer resolves the ticket, the incident resolves too. You track the work in one place, and the status you see in CloudZero matches what the team is doing.

On 21 October 2026, the team behind PHP released an emergency fix for two critical security flaws. PHP is the programming language behind a large share of the web, including WordPress, Drupal and many online stores. Researchers at Wiz named the flaws PHP2Shell. An attacker could use them to take control of a website without ever logging in. Updating a website, its CMS, or its plugins doesn't help. The only real fix is (and was) a new version of PHP itself.

The data to explain a slow endpoint is usually already sitting in your project. Blackfire has the profile. Continuous profiling has the flame graph. The traffic numbers show which route matters. The code is in git. What takes the afternoon is putting those four things next to each other and working out which function is responsible. That afternoon is what the Upsun Performance Agent is for.

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.

Many CloudZero users ask the same few questions. What did my team spend this month? How is our AI spend trending over the last 30 days? What does one MCP tool call cost? Now you can save the exact Explorer setup behind each answer as a View and get back to it instantly. It’s not just filters and grouping anymore, but the full picture. You can share a link with a teammate or finance and they see the same View, filtered to the spend their role allows.

Your company talks about AI spend in its own terms, like projects, teams, and products. Now AI Signals can show AI spend in those terms, too. Write a CostFormation rule in CloudZero that groups AI spend by categories you care about, and the new breakdown appears in AI Signals the same day you decide to track it. There’s no waiting for a full processing cycle.

The rise of large-language models (LLMs) that can understand and create text, and reason about problems has opened the door for software agents that use the reasoning power of LLMs to interact with the wider world and solve problems. At Kubex, our bread and butter is compute and GPU resource optimization, so it’s natural for us to ask how agents could help our customers more effectively optimize their resources.

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.