Operations | Monitoring | ITSM | DevOps | Cloud

Challenges designers face in open source (and how to fix them)

Open source software (OSS) is a cornerstone of modern technology. According to the Linux Foundation, it powers up to 90% of software tools used today. Unlike proprietary software, OSS is developed collaboratively, meaning its code is available for anyone to use, change, and distribute. Because OSS projects have historically been driven by developers, they tend to be highly flexible and functional, but they can lack critical usability considerations.

Cloud Cost Optimization: 20 Strategies for Enterprises

Cloud cost optimization has become a critical priority in 2026. What starts as a manageable $5,000 monthly cloud bill can quickly grow to $50,000 within a few quarters, often without any major change in workload. If you lead an engineering or infrastructure team, this probably sounds familiar. You may have already seen costs rise faster than expected or struggled to explain sudden spikes in cloud spend. The challenge today goes beyond just rising numbers.

Building vs. Buying your platform: The honest framework nobody discusses

Most organizations get the build versus buy decision wrong in the same way. They underestimate the cost of building while overestimating the cost of buying. In the recent Konstruct monthly webinar with M R Rishi (Platform Engineer at Civo), we explored the discussion surrounding whether you should build or buy your platform. If you want to watch the full discussion, watch the recording here.

Streamline & Automate Work with New Features on the Velocity Platform

As your business evolves in an ever-changing economy, your operations team has the chance to drive innovation and unlock new efficiencies. Watch an expert-led demo showcasing the newest features on the Velocity Platform — designed to empower your organization to accomplish better work, faster. In this interactive session, you'll: Explore the latest Velocity Platform updates that work for you. See why Velocity Web is far more than just a browser.

Language AI to physical AI explained

What is physical AI? Physical AI embeds machine learning directly into hardware, enabling algorithms to interact, move, and perform autonomous tasks in the physical world. Traditionally, robots relied on precise, hardcoded coordinates; if an object shifted by a single millimeter, the entire system failed. Today, robotics is moving past rigid automation toward truly adaptive architecture. Neural networks help machines process raw sensor data in real time. Consequently, machines can dynamically reason through the unpredictable physical world.