Operations | Monitoring | ITSM | DevOps | Cloud

When developing software, the longer you intend to keep a system around, the more important it becomes to prioritize its code quality. But as more organizations move toward microservice architectures and adopt agentic AI and LLMs into their development workflows, many engineering teams have increased their emphasis on accelerating developer velocity, often at the expense of code quality. This can often result in code that fails to meet standards for performance, reliability, and security.

The zettabyte era of data is alive and well. Every tool in your tech stack now has some sort of AI functionality, while middleware sprawl and feature wars between vendors become daily battles.

Managing IT equipment is a crucial challenge for businesses, especially in a context where devices such as laptops and printers quickly become obsolete. Understanding and optimizing the depreciation period of these assets is essential for accurate accounting and cost control. This article explores the basics of depreciation calculation, the different methods used, and why adopting management software can transform your tracking process.

TEL AVIV and SAN FRANCISCO, Aug. 26, 2025 – Komodor, the platform for automating Kubernetes operations, health, performance, and cost management, today announced it has been named winner of the 2025 SiliconANGLE TechForward Award for Kubernetes Management.

Are you interested in learning about API monitoring? Then you’ve come to the right article. Below, we explain what APIs are and why they’re valuable, explore the basics of API monitoring, and wrap up with practical advice on how to get comprehensive API monitoring in your organization.

A 2017 study by Google, researchers found: That was over 8 years ago. And let’s be honest, it’s not likely users have found any additional patience in that time. Web Vitals are a set of performance metrics defined by Google that measure user experience. They focus on things like LCP (how long the main content takes to load), INP (how quickly the page responds to input), and CLS (how visually stable the app is, meaning whether content shifts unexpectedly).

In today’s cloud-driven world, IT teams, SaaS companies, and even small teams depend on dozens of third-party services, cloud providers, and essential services for daily operations. From Amazon Web Services (AWS) powering infrastructure, to payment gateways, communication tools, and APIs—every component matters. But here’s the reality: every service faces performance issues, planned maintenance, or the occasional case of a failure.

Cloud costs keep rising, and most companies are struggling to contain it. That’s where today’s finance teams can step up their game, not only as a professional opportunity but as a leading protagonist on the cloud cost optimization stage. A bit of background first: Global public cloud spending is projected by Gartner to exceed $720 billion in 2025. That’s up from nearly $600 billion in 2024. And a lot of that is sheer, unmitigated waste.

When OpenAI surged into the spotlight with ChatGPT, not everyone inside the company agreed on the path forward. In 2021, a group of senior researchers broke away. They had concerns about safety, transparency, and the direction of AI development. They went on to found Anthropic. And their answer to ChatGPT was Claude. Anthropic’s mission is for openness now. Yet, Claude’s pricing can feel as mysterious as the model weights behind the scenes.

You bought the chatbot. You built the self-service portal. You shifted left like the IT operations and engineering best practices told you to. And yet, tickets keep coming, alerts keep escalating, and your team keeps firefighting. Why is this craziness still happening? Because shifting left, while helpful, is a singular tactic that is often mistaken for total transformation. It’s important to IT operations and engineering, but it’s not the full arsenal.