Operations | Monitoring | ITSM | DevOps | Cloud

Best Practices for Managing and Scaling Digital Advertising Campaigns

Digital advertising has become increasingly complex as platforms evolve and competition intensifies. Algorithms change frequently, audience behavior shifts quickly, and costs can rise without warning. In this environment, even well-funded campaigns can underperform if they are not managed with precision. Businesses often underestimate how quickly inefficiencies can accumulate, leading to wasted spend and inconsistent results. Effective campaign management is no longer optional; it is a critical function that directly impacts revenue and operational stability.

The Hidden Cost of DIY DevOps: Why Growing Companies Bring in the Experts

Companies are scaling faster than ever, but infrastructure rarely keeps up with the product. When developers take on operational work on top of everything else, it feels like a smart way to cut costs. In practice, it's one of the most expensive mistakes a growing software team can make. This article breaks down what DIY DevOps actually costs and how a structured approach changes the equation.

How the Internet Technology Has Improved Over the Years

The internet has gone from a slow, noisy dial-up connection to a fast, always-on utility that powers nearly every part of modern life. What once took minutes can now happen in seconds. What once felt like a luxury is now essential for work, entertainment, and communication. Understanding how internet technology has evolved helps explain why today's connections feel so different, and why newer options continue to raise expectations for speed and reliability.

Top tips: When leaders leave, here's how to keep your IT systems stable

Top Tips is a weekly column where we look at what’s shaping the tech world and share practical ways teams can stay prepared for what’s next. This week, we’re focusing on a situation many teams underestimate—what happens to your IT systems when a key leader steps away, and how you can build stability that doesn’t rely on any one person. Some problems don’t show up when things are running smoothly. They show up when someone leaves.

Run Local LLMs on Mac to Cut Claude Costs

Part of the motivation for this post is how cloud API economics are shifting: Anthropic is moving large enterprise customers toward per-token, usage-based billing (unbundled from flat seat fees), which makes “always call the API” a moving cost line for teams at scale. A hybrid or local layer is one way to keep spend bounded while you still use premium models where they matter.

Collective IQ DEX: complete visibility into the employee digital experience

Collective IQ DEX (CIQ DEX) provides a unified view of the employee experience across different devices, locations, applications, collaboration tools, and even user sentiment. The platform combines intelligent IT asset analysis and employee perception, with drill-down capability to the level of each user and endpoint.

Cloudsmith raises $72M Series C to secure the AI software supply chain

Cloudsmith raised $72 million in Series C funding, led by TCV and Insight Partners, to build the operating system for the modern software supply chain. AI agents are writing code faster than teams can secure it. That shifts the risk calculus because more software, built faster, means more attack surface. Artifact management is the control point between every software producer and consumer, and it's where Cloudsmith sits.

Rootly's Dan Sadler: why AI coding tools are driving more incidents + why reliability is the product

Cortex co-founder and CTO Ganesh Datta sits down with Dan Sadler, VP of Engineering at Rootly. Dan explains how Rootly treats reliability as a product feature rather than just a technical metric, and why culture might be the most impactful element of building reliable systems.

Beyond Uptime: Building a Self-Healing OpenClaw Observability Stack

The allure of OpenClaw is undeniable. You deploy a highly autonomous, self-hosted AI agent, give it access to your repositories and inboxes, and watch it reason through complex workflows while you sleep. It is the dream of the ultimate 10x developer tool realized. But as any veteran DevOps engineer will tell you: running an LLM-backed Node.js agent in production is vastly different from testing it on your local machine.