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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Why latency is important when choosing an IP backbone provider

As businesses rely on cloud computing, AI, real-time communications and globally distributed applications, network latency has become a defining factor in overall network performance. While bandwidth determines how much data can be transferred, latency determines how quickly that data reaches its destination. Even a high-bandwidth connection can deliver poor application performance if latency is too high or inconsistent.

You Aren't As Behind As You Think

If you look at the people posting to social media the most about AI, you’ll probably feel left behind. They’re running dozens or hundreds of agents and probably shipping more than you. But, they are not representative of the rest of the dev world. They are the 1% of the 1%. The thing that might be missed is that you reading their posts is probably separating you from a much larger cohort of devs that are still trying to figure out how to use AI effectively in their day to day work.

Don't Break the Agent: Lessons in Token Optimization

This one is for the curious souls who wonder how somebody actually builds a harness optimizer — and, more to the point, how they know it works. When we launched JFrog Boost into public preview, we told the story of the bill that broke us and the 100 billion tokens we clawed back across JFrog R&D. What that post didn’t cover is the question that consumed most of our engineering time: how do you measure any of this?

MCP vs API: How they work together and when to use each

Summary: An API defines how software interacts with a service. MCP defines a standard way for AI applications to discover and invoke tools exposed by a service. They usually work together: an MCP server can sit in front of APIs you already run, turning low-level operations into capabilities an agent can find and use at runtime. Your API may already expose everything an AI agent needs. The harder problem is helping the agent figure out which operations matter for the task it has been given.

Safer Kubernetes rollouts with minReadySeconds

Picture the scene: you’ve just deployed a rolling update to your service. Half of your pods are running the new version, they all passed their readiness checks, and Kubernetes terminated the old replicas. Suddenly, the new pods start throwing 503 errors. Thankfully, you still have pods on the old version, so you stop the update. If the rollout had been a little bit faster, you’d have an outage. This is the failure mode minReadySeconds exists to prevent.

Shipped: Explorer refresh: show more, scroll less

CloudZero Explorer answers a cost question in two parts. The chart shows what your spend did and the table underneath shows which service, account, or team did it. Until now, the chart pushed the table below the fold, and actions like creating a View or checking Anomalies were buried multiple clicks deep. Now the chart and table share the screen and a new right rail puts Favorites, Views, Anomalies and Insights one click away without covering your data.

Building AI SRE Agents, Part 2: Leave the Laptop, Earn Trust

Moving the agent off your machine and pointing it at real clusters — read-only, in shadow mode — then climbing a trust ladder toward carefully scoped action. This is the second article in a three-part series on taking an AI SRE agent from a weekend experiment to enterprise production. Part 1 built a local agent on a throwaway cluster: read-only, propose-only, refined against a small eval set, with portable skills and no production write access.

CAASM in Action: Continuous Cyber Asset Management with Teneo & ThreatAware

See how Teneo’s CAASM solution, powered by ThreatAware, helps security teams continuously manage and monitor their cyber asset landscape. In this short demo, discover how ThreatAware makes it easier to create focused asset views, identify areas that need attention, and schedule reports to keep teams informed, helping turn cyber asset visibility into ongoing action. Teneo and ThreatAware bring your security data together to help you uncover gaps, improve cyber hygiene, and reduce risk across your attack surface.

Teneo Managed DEX: How to Resolve Microsoft Teams Issues Faster

See how Teneo Managed DEX helps IT teams identify and resolve Microsoft Teams issues faster, often before they become another service desk ticket. In this Managed DEX example, Teneo shows how Digital Employee Experience (DEX) monitoring and automated remediation can help detect a Microsoft Teams problem, take action and get the employee back to work faster. Teneo Managed DEX helps organizations.