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Early IT Outage Alerts in Action: 20+ Major Cloud Incidents of 2025

The IT cloud outages in 2025 are already shaping up to be a wake-up call for IT teams, MSPs, and developers worldwide. Even the most reliable services can experience disruptions, impacting workflows, customer experience, and business continuity. While major providers often take time to acknowledge incidents publicly, StatusGator's Early Warning Signals empower organizations to detect outages in real time, sometimes hours before official confirmation.
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The Critical Role of CPU Monitoring for Modern Network Admins

For network administrators, maintaining seamless and uninterrupted system performance is an ongoing, vital responsibility. In environments ranging from hundreds of endpoints to complex hybrid clouds, CPU monitoring stands out as a critical tool. Without it, proactively identifying and resolving performance slowdowns, service lags, or outages is impossible, leaving you to reactively guess at solutions.
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Future-Proofing Your Business: Why RISE with SAP is More Than a Technical Upgrade

2025 and 2027 are well documented dates in SAP circles. Many SAP users have viewed the transition to S/4HANA and Cloud ERP as an opportunity for transformation, eliminating technical debt and enabling innovation. Just as many have recognized the complexity and size of the project, and opted for a technical upgrade, often called brownfield migration or a lift-and-shift, as the first step of a larger Cloud ERP journey. Driving the migration project urgency, commercial incentives and transition options from SAP may ease end of support dates for existing systems.

What Is Voice over Internet Protocol (VoIP) Monitoring?

Voice over Internet Protocol (VoIP) has transformed business communication by enabling voice calls over the Internet rather than traditional phone lines. While VoIP provides flexibility and cost savings, call quality can be affected by network issues such as latency, jitter, and packet loss. VoIP monitoring is the process of tracking and analyzing the performance of your VoIP system to ensure smooth, clear, and reliable voice communication.

Perspectives on turbulence part 1: Introducing new research from Pulsant

Since the publication of the inaugural AI Sector Study in 2022, the UK’s AI ecosystem has grown to include more than 5,800 companies – an 85% increase over the past two years. AI revenue is now £23.9 billion, and the sector employs more than 86,000 people. To put that in context, it’s bigger than the UK gambling sector – on both counts. Digital infrastructure is the foundation of this new economy.

Introducing SigNoz's LLM-Powered Datadog Migration Tool

But migration is painful. Moving from Datadog means manually rebuilding dashboards, rewriting every query, and reconfiguring panels one by one. What took months to build takes weeks to migrate. Engineering teams get pulled away from actual product work to rebuild monitoring infrastructure they already had working. Critical monitoring setups and the context around why dashboards were built a certain way often get lost. We kept hearing about this from teams evaluating SigNoz, so we built a solution.

Define, run, and scale custom LLM-as-a-judge evaluations in Datadog

Teams deploying LLM applications face a critical blind spot: They can measure speed and cost, but not whether their AI is actually giving good answers. To build user trust in these applications, teams also need to measure response quality, including factual accuracy, safety, and tone. Operational metrics show how a system behaves, but not whether its responses are correct or on brand.

AI: Your (Not So) Secret Agent In Cloud Cost Control

Read a few articles on artificial intelligence and financial operations, and you’re bound to run across a sentence like this: AI enables FinOps teams to reduce TCO and boost ROI. Or one like this: The future of FinOps uses agentic AI-powered systems to detect and remediate cost issues automatically. Keep reading and you’ll find piece after piece that say a lot about AI and FinOps … without really saying anything.

IA for AI: Rethinking How We Store, Surface, And Share Data In A Conversational World

Information architecture used to be about structure. We organized menus and pages into trees, built hierarchies, and created pathways for people to follow. For years, that worked. Navigation was the interface. But that world is changing. People aren’t clicking their way through information anymore. They’re asking for it. They’re refining questions, expecting context, and assuming that systems will not only understand what they mean, but act on it.

From data management to an intelligent data fabric architecture

Large enterprises today manage more machine data than ever before. From legacy applications to modern, ERP and supply chain systems to cloud infrastructure, cybersecurity, and customer-facing applications, much of this valuable data remains trapped in silos, limiting its potential to drive faster decisions, strengthen resilience, and meet the demand for optimum service availability.