How to use predictive AI for enterprise ITOps
Learn how predictive AI is transforming enterprise ITOps from reactive to proactive by using machine learning to detect issues, forecast incidents, and automate responses.
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Incident Management Software for 2025: Revolutionizing Efficiency in Crisis Handling
With the growing reliance on technology and complex IT infrastructures, having a robust Incident Management software is no longer a luxury but a necessity. As we step into 2025, organizations are seeking more sophisticated, intuitive, and scalable solutions to streamline their Incident Response Workflows and ensure uninterrupted service delivery.
Building a bulletproof network disaster recovery plan
Imagine it’s 2am. A core switch fries because of a sudden power surge. Most of your users wake up to a blank screen. Your team scrambles: Where’s the backup configuration? Who knows the last working state? Hours pass, productivity tanks, support calls flood in, and costs stack up by the minute. This isn’t a theoretical horror story. According to Gartner, the average cost of network downtime still hovers around $5,600 per minute, or over $300,000 per hour.
Zebra Technologies AI Leader Advises Companies to Rethink Their Frontline Data for AI
Zebra Technologies Corporationis advising businesses to make better use of their frontline data to maximise the benefits of AI solutions.
Netdata Overview: All You Need to Know in Under 3 Minutes
In just a few minutes, this walkthrough will show you how to unlock the full power of Netdata during your trial period. From real-time metrics to AI-powered insights, learn how to get immediate value without any guesswork. Whether you're running a Homelab or managing production systems at scale, this video will help you hit the ground running and make every minute of your trial count. Let’s turn your trial into insight, clarity, and control.
AI's Secret Weapon? It's All About the GPU
In this webinar snippet, we break down why GPUs are the hidden engine driving today’s AI revolution. Discover how parallel processing (like a kitchen full of chefs!) enables lightning-fast neural networks, transformers, and machine learning and why GPUs shifted from graphics to becoming AI’s indispensable powerhouse.
This Month in Datadog: Bits AI SRE, Datadog Data Observability, and more
Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. To learn more about Datadog and start a free 14-day trial, visit Cloud Monitoring as a Service | Datadog. This month, we chat with two guests about Bits AI SRE and Datadog Data Observability.
The Second Wave of Private Cloud
Over the past decade, the public cloud became the default way to run software. Its flexibility, on-demand pricing, and global reach made it the obvious choice for many teams. Startups could move fast, and enterprises could avoid long procurement cycles and complex hardware management. As teams gain more experience with cloud infrastructure, unintended consequences start to rear their costly heads. Bills grow quickly and are difficult to predict.
AIOps Tools: Key Features and Top 8 Solutions in 2025
AIOps tools use machine learning, big data, and automation to enhance IT operations. These tools analyze IT data, detect anomalies, and automate tasks, improving efficiency and reducing manual effort. Popular AIOps tools include Selector, Splunk, Dynatrace, Datadog, BigPanda, Dell AIOps, IBM Cloud Pak for AIOps, and LogicMonitor.
Why Observability Isn't Just for SREs (and How Devs Can Get Started)
Almost every other day, when I scroll past r/devops or r/sre, I see a post like this asking how a dev can get started with devops, observability, etc. Sample Reddit thread on how to get started with OTel This blog is an attempt for anyone lost to find their way into observability and a wake-up call for devs to they should think about observability more actively today than ever before. A dev’s observability playbook.