Operations | Monitoring | ITSM | DevOps | Cloud

The infrastructure work you should not have to touch just to ship a feature

You wrote the feature. It works locally. Then you spend the next two hours on things that have nothing to do with the feature: a Terraform plan that wants to replace a database you didn't touch, a Kubernetes manifest that needs a new ingress rule, an IAM policy that's one permission short of what the deploy needs. None of this is the job. All of it is the job today. Here's what that list actually looks like, and why none of it should be sitting on your plate.

7 lessons for IT leaders on using observability to monitor AI applications

What it takes to prove AI value with LLM observability Over six months, the Elastic IT team ran internal AI applications that returned $2.5 million in operational time to the business.1 A conversational support assistant moved us from zero digital resolution, where anything complex became a ticket, to 30% of support interactions closing without one.

Token budgets: capping AI agent and LLM spend

AI costs are changing. As noted by research from EY, outputs that cost just $0.04 in 2023 now cost $1.20, a 30x increase over just three years. It’s worth noting that task operations and complexity have also changed. In 2023, the process was simple. Users input a question, retrieval engines found relevant data, and AI models returned a response. Today, many tasks are handled by orchestrated AI agents capable of much more complex reasoning and analysis.

Shipped: A changelog that keeps up with how fast we ship

When the changelog doesn’t keep pace with the product, two things can happen. One, you keep working around something that was already fixed weeks ago. Or two, a behavior changes, you assume it’s a bug, and you spend an afternoon on triage and a support ticket before learning it was an intentional improvement. CloudZero now ships around 30 improvements a week, a pace driven by the Next Gen Platform and the AI-first approach we’re building for our customers.

Infrastructure Automation Tools Comparison: Provisioning vs. Orchestration Layer

Infrastructure automation tools by layer: provisioning (Terraform, OpenTofu, Pulumi, CDK, Crossplane) vs. orchestration (Spacelift, env0, Scalr, Qovery). Melanie leads content at Qovery. She covers platform engineering trends, Kubernetes operations, FinOps, and the tools that help engineering teams ship faster.

Our Newest Infrastructure Partner: Cherry Servers

We're thrilled to announce that we've added Cherry Servers, a European infrastructure provider, as another native integration to the Cycle platform. With this integration, Cycle clients have more choice in where, and how, they deploy their applications as Cherry offers a variety of bare metal server configurations across 7 data centers located around the globe. For a more formal announcement, please see our joint press release with Cherry Servers.

How Professionals Can Choose the Right Credit Card for Everyday Use

Many professionals manage routine expenses, including groceries, commuting, software subscriptions, and occasional travel. Because a credit card creates recurring costs and rewards, it deserves careful review. Interest should shape the decision. Bankrate reported an average U.S. credit card APR of 19.57% on July 22, 2026, down from a record high of 20.79% on August 14, 2024. Carrying a balance near that average can outweigh most rewards. The process below assumes you pay your statement balance in full each month.

How to Choose the Right Influencer Search Tool for Your Brand

Influencer marketing works for ecommerce brands because it borrows trust that already exists. A creator's audience has chosen to follow them, which is a very different starting point from a cold ad impression. For a WordPress or WooCommerce store, two things have to work together. You need to find relevant creators without spending a week on it, and you need the traffic they send to land somewhere that converts.