Operations | Monitoring | ITSM | DevOps | Cloud

The Observability Gap: Why Monitoring Data Should Drive Tests

Most teams already know a lot about production. They have dashboards. They have traces. They have alerts. They have enough telemetry to explain what happened after an incident and enough graphs to argue about it for the rest of the week. Then they go to test a change and start from scratch. The integration tests hit a hand-written mock that returns {"status": "ok"}. The load tests replay a CSV somebody exported months ago. Staging is close enough to production right up until it matters.
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AlmaIQ brings unparalleled level of efficiency and effectiveness for IT teams using Collective IQ

AlmaIQ, the intelligent self-service agent for employees just received an incredible boost that expands its role to uniquely help IT teams. Interacting with users through Microsoft Teams, AlmaIQ answers questions about devices and internal processes in natural language. Whereas that intelligence simplified employees lives on the job, it now enables IT teams to interact with Collective IQ at the level of departments, groups, and collections of devices to spot patterns and trends. The overall result: vastly more productive operations and satisfied employees.
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Did we miss the end of LaMa?

In mid-2024, SAP announced the discontinuation of SAP Landscape Management ("LaMa"). This wasn't a huge surprise, as the 2027 end-of-support date aligns neatly with Solution Manager, Focused Run and standard support for ECC. SAP also terminated work on SAP Landscape Management Cloud, discontinuing that product immediately. Responses to the post were as expected: customers asking, "What now?" and even expressing a bit of dismay. One response from SAP was especially telling: "Moving the ERP system to the cloud hands over the tasks realized with SAP Landscape Management to SAP as cloud vendor.

Network Topology: Types, Diagrams, Tools & Enterprise Best Practices

Network topology describes how devices, connections, and data flows are arranged in a network. It is the blueprint of your network infrastructure. Both matter because they affect performance, scalability, and security. A well-designed topology ensures data reaches its destination quickly and reliably. A poor design creates bottlenecks, security gaps, and troubleshooting nightmares.

Why This Fortune 500 Chose Agentic AI Over Traditional AIOps

What does real enterprise-ready Agentic AI look like in production? In this video, we break down how a Fortune 500 enterprise used Fabrix.ai’s Agentic AI platform to detect, diagnose, and resolve a critical application issue in just 5 minutes—without moving their data or replacing existing tools. If you're exploring Agentic AI, AIOps, or enterprise automation, this is a must-watch.

dotConnect for Zoho CRM | Connect Zoho CRM to .NET Apps Easily

Bring Zoho CRM data into your.NET applications with dotConnect for Zoho CRM—a fast, reliable ADO.NET provider built for secure and efficient connectivity. Set up in minutes using a Windows installer or NuGet, then explore and manage your CRM data from Visual Studio. This video walks you through connecting via Server Explorer, authenticating with Interactive OAuth, running queries through standard ADO.NET workflows, and integrating with popular ORMs like EF Core and Dapper.

Groq vs. GPUs: The future of AI inference in 2026

Back in 2016, Jonathan Ross founded Groq, the AI chip startup, which went on to enter a non-exclusive licensing agreement with NVIDIA for Groq’s inference technology (as part of a $20 billion deal). The name ‘Groq’ is commonly confused with X (formerly Twitter)’s Grok, which was launched in 2023 as a Gen AI chatbot. As demand for real-time AI continues to grow, inference has become one of the most important and expensive parts of the machine learning lifecycle.

£10M Investment in UK AI Infrastructure | Pulsant CEO Talks to Data Centre Solutions

Join Pulsant CEO Rob Coupland in an exclusive interview with Phil Alsop, Editor at Data Centre Solutions (@datacentres), as they explore Pulsant’s £10 million investment in the Milton Keynes data centre. This upgrade delivers high-density, sovereign computing capacity, helping businesses accelerate AI and tech projects while keeping data secure and local. Rob also shares plans to expand this high-density model across the UK, supporting enterprise AI at scale and boosting local economies.

Finding performance bottlenecks with Pyroscope and Alloy: An example using TON blockchain

Performance optimization often feels like searching for a needle in a haystack. You know your code is slow, but where exactly is the bottleneck? This is where continuous profiling comes in. In this blog post, we’ll explore how continuous profiling with Alloy and Pyroscope can transform the way you approach performance optimization.