Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring in the Age of Complexity: 5 Assumptions CIOs Need to Rethink

In 2025, the average enterprise juggles over 150 SaaS applications, hybrid cloud infrastructures, and a workforce that expects seamless digital experiences—yet most CIOs still rely on monitoring strategies built for the data center era. The result? A $1.5 trillion annual hit to global GDP from downtime and performance lags, according to recent industry estimates. The problem isn’t the tools—it’s the thinking behind them.

COREDUMP #006: Pebble's Code is Free: 3 Former Pebble Engineers Discuss Why It's Important (PT. 2/2)

In today’s Coredump Session, the team reunites to unpack the behind-the-scenes lessons from their time building firmware at Pebble. This episode dives into the risks, decisions, and sheer grit behind a near-disastrous OTA update—and the ingenious hack that saved a million smartwatches. It’s a candid look at the intersection of rapid development, firmware stability, and real-world consequences.

(Full Episode) IT Horror Stories: Last Out Ep4 S1

In this episode, information security analyst in the professional sports world, Matthew Schuster, joins host Jonathan Crowe to discuss Matthew’s harrowing IT horror story from the early days of the Covid pandemic. Matthew shares how his small but mighty team chased down and shipped out laptops to support his organization's quick transition to fully remote work (cutting a 12-month planned rollout down to just three days), how a dedicated leadership team helped his team knock it out of the park, and lessons learned from operating under pressure.

eG Enterprise Alerting Integrates With Yet More ITSM Ticketing Systems, Including BigPanda and Freshservice

Just a quick blog to let you know that eG Enterprise v7.5 has introduced support for further ticketing systems – including for popular ITSM solutions such as BigPanda and Freshservice.

What is Agentic AI? Understanding the Next Evolution of AI

In the ever-evolving world of artificial intelligence, a new frontier is emerging—Agentic AI. This revolutionary concept goes beyond the traditional models of AI that we’ve grown accustomed to. Instead of simply following explicit instructions, agentic AI systems are designed to act autonomously, make decisions, and adapt dynamically. In other words, they can “think” independently to achieve specific goals.

Leveraging AI for enhanced network monitoring in finance

What’s the cost of a slow network if you are working in financial circles? A one-second delay in trade execution can mean millions in lost revenue. A lag in payment processing? That’s frustrated customers raising thousands of support tickets that your team would struggle to handle and potential compliance fines. For CIOs, CTOs, and IT leaders in financial services, keeping networks up and running is a business imperative.

Why do you need an application monitoring tool?

If you got your hands on a high-performance sports car, would you dare to drive it without a dashboard showing speed, fuel levels, or engine health? Absolutely not! Just as a dashboard helps keep your car running at peak efficiency, an application monitoring tool serves as your app’s digital dashboard, ensuring high performance and preventing unexpected crashes.

Understanding GraphQL in .NET: When and why to use it

APIs are the heart of most modern applications. Due to their simplicity and lightweight design, RESTful APIs are a popular choice for client-server communication in most applications. However, APIs can become limiting when fetching complex or related data. The front end may over-fetch or under-fetch the meaningful data. For example, different pages require different responses. RESTFul APIs require different field endpoints, each involving repetitive complex joining conditions.

Agent 2 Agent: A Giant Leap for AI Agents - And Why Enterprises Must Get Security Right

At Google Cloud Next, one statement particularly caught the attention of innovators and cybersecurity professionals alike: Google’s introduction of Agent 2 Agent (A2A) marks a major evolution in AI architecture. It enables autonomous agents to collaborate across services, platforms, and domains—unlocking powerful use cases across virtually every industry.