IT teams hit with 'AI brain fry' as workloads rise
New SolarWinds research reveals how AI is reducing manual work while creating extra oversight and pressure for IT professionals globally.
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The Regional Data Centre Revolution Powered by AI Demand
London still hosts the biggest concentration of UK data centre capacity, but the centre of gravity is starting to move. AI workloads are changing the infrastructure maths, pushing power, space and planning considerations up the decision list. That is exactly where regional locations start to look like the sensible option. Government data shows how concentrated the market remains: as of autumn 2024, London is estimated at 1,048MW of colocation IT load. Compare that with 44MW in the East of England, 17MW in the North East and 30MW in Scotland. The gap is huge, yet it is not a permanent advantage.
Moving Beyond SolarWinds: Building a Modern Observability Strategy
For years, platforms like SolarWinds have been a standard in IT environments. They helped teams answer a fundamental question: are systems up or down? That approach worked well when environments were more contained and predictable. The challenge is that most environments no longer operate that way. Hybrid infrastructure, cloud services, and tightly interconnected applications have changed what “visibility” needs to mean.
What is Terragrunt and how does it simplify Terraform Workflows? | Harness Blog
Managing Terraform across dozens of AWS accounts becomes a maintenance nightmare fast. Teams end up copy-pasting the same backend configurations, provider blocks, and variable definitions hundreds of times. Terragrunt acts as an orchestrator above Terraform, eliminating this duplication through shared configuration inheritance and dependency management. When financial services teams manage 200+ microservices across multiple environments, these DRY patterns become essential for governance and consistency.
What EMEA Infrastructure Leaders Are Saying About Security, Compliance, & Hybrid IT
Over the past few months, Puppet has partnered with Bryxx to host a series of leadership lunches across Europe, bringing together infrastructure, operations, and security leaders for candid, peer‑to‑peer conversations. These sessions weren’t marketing briefings. They were grounded discussions about what teams are facing right now: tighter regulation, rising security pressure, shifting cloud strategies, and the practical realities of automation and AI.
Chaos Engineering vs. Traditional Testing: What's the Difference? | Resilience Testing | Harness
Stop treating system outages like surprises and start preparing for them. While traditional software testing is the bedrock of development, using unit, integration, and regression tests to verify that code meets specific requirements, it only accounts for what we expect to happen. Chaos Engineering takes a different approach by shifting the focus from bug prevention to system resilience. Instead of asking "does this work?", Chaos Engineering asks "how does this survive?" by injecting real-world turbulence like network latency or pod failures directly into production-like environments.
RTO and RPO in Disaster Recovery Explained | Resilience Testing | Harness
Struggling with disaster recovery planning? Learn the simple difference between RTO and RPO, the two most important metrics every developer, DevOps engineer, and SRE must understand. RTO (Recovery Time Objective) tells you exactly how long your systems can stay down before it hurts your business. RPO (Recovery Point Objective) shows how much recent data you can afford to lose in an outage.
What Does Load Testing Measure? (Top 5 Performance Metrics) | Resilience Testing | Harness
Before you deploy, you need to know if your application can handle real-world traffic. In this video, we break down the 5 essential load testing metrics: Response Time (latency), Throughput (requests per second), Error Rates (system stability), Resource Utilization (CPU/Memory bottlenecks), and User Concurrency. Whether you're into Software Engineering, DevOps, or SRE, understanding these System Design fundamentals is the only way to prevent server crashes and ensure Software Scalability.
8 Signs Your Service Desk Automation Tool Has Become the Bottleneck
Most service desk automation problems get misdiagnosed. You see the ticket backlog, the manual work, and the slow incident response, and assume the issue is due to process, adoption, or staffing. But at some point, the math stops working. You’ve invested in a service desk automation tool, given it time to mature, built workflows around it, and the results still don’t match what was promised.
Seeing the Bigger Picture: What technical leaders can learn from evolving monitoring needs
A preview of leadership insights shaped by real-world experience Estate-wide clarity for leaders who still need technical depth As data estates grow, the role of technical leaders changes. Visibility becomes harder. Communication becomes more important. Decisions have broader consequences. Many leaders start their careers focused on the technical details.