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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.

Reality Bytes: The Rise (and Risks) of Vibe Coding

In this Reality Bytes reunion, Tom, Sean, Tim, Oriana and Megan unpack the buzzy rise of vibe coding — the AI-assisted development trend coined by Andrej Karpathy and already explored by companies like Meta and Microsoft. The panel digs beneath the hype: from accelerated prototyping and accessibility gains to serious risks around technical debt, shadow applications, governance, security and the loss of human accountability. Oriana and Megan highlight the importance of schema, context and genuine creativity, while Tim warns against mistaking speed for quality. Is vibe coding the future - or just another fragile shortcut?

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.

Simplify multi-cloud monitoring with Site24x7 | One tool for any cloud

If you’re juggling multiple tools and dashboards, running workloads across AWS, Azure, Google Cloud, and Oracle Cloud can be chaotic. That’s where ManageEngine Site24x7 steps in. With one unified platform, you can monitor all your cloud environments in real time, and gain full-stack visibility across every resource. Whether it’s a VM, container, or serverless function, you can detect performance issues early.

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.