12 Days of Christmas Updates | Day Six: New API endpoints for Deployments
A new handful of new endpoints to help customers filter error groups and get even more out of deployments. Check it out.
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5 Essential Innovations Revolutionizing Pool Services Today
Innovation has turned the pool service industry into a thriving tech hub. Today, managing pools isn't just about chlorine and filters anymore. Technology transforms everything from scheduling maintenance to ensuring safety. Smart tools make processes smoother, save time, and improve customer satisfaction. Let's look at the cutting-edge advancements that are changing how businesses operate in this space.
Common Mistakes to Avoid in Technology Decision-Making
Navigating the landscape of technology can be challenging, especially for decision-makers tasked with selecting the right solutions for their organizations. The stakes are high, as the wrong choice can lead to wasted resources, diminished productivity, and stunted growth. Awareness of frequent pitfalls can enhance the decision-making process, allowing for more informed and strategic choices. This post explores several common mistakes made in technology decision-making, aiming to provide insights that will lead to better outcomes.
Six Enterprise AI Predictions for 2025
In many ways, the upcoming year is shaping up to be one of opportunity and innovation as IT leaders see more benefits and options around AI than ever before in running the enterprise. By the same token, this progress is creating new complexities and choices for organizations to navigate. Through conversations with ScienceLogic customers, leading industry analysts, partner companies and key executives, several AI-related themes have emerged moving into 2025.
Automatically group events and reduce noise with AI-powered Intelligent Correlation
When you have a complex IT environment with many disparate tools, data sources, and teams, alert noise becomes overwhelming. This can delay incident response and cause missed alerts, ultimately leading to critical incidents and outages. Datadog Event Management’s Event Correlation groups and deduplicates events and alerts, reducing noise and helping response teams act on alerts faster.
Designing Sumo Logic Mo Copilot for success
I’ve been quite open about the many ways AI-driven projects can go wrong. With so many ways to fail, what makes Sumo Logic Mo Copilot set up for success? Let’s discuss each of these points in detail.
Are Our Networks Ready for AI?
With all the hype surrounding AI, it’s critical to focus on building resilient networks capable of handling the performance demands that AI will introduce. As I often say, if your network observability solution isn’t detecting packet loss, neither will your AI engine. When you ask, “What’s the status of our global network health this morning?” a flawed or incomplete response could jeopardize critical decisions.
How I reduced an API call from >5 seconds to under 100ms
Given that 100% of the databases I have interacted with in my professional career have been SQL databases, my data-based mental model (please enjoy my pun) has always defaulted to a relational one. However, when spinning up a tiny side project in 2020 (a bot to provide interactivity to my Twitch stream), my data-storing requirements didn’t call for a relational model at the time, so I chose a NoSQL solution: MongoDB.
CNBC Says AI Will Replace Tech Support - Here's What They Got Wrong
Another day, another AI headline designed to spike your blood pressure. The Service Management industry is no stranger to dramatic proclamations about AI, and neither are you. But what’s the real story behind CNBC’s latest take, “The tech support desk at work is one of the first jobs AI is rapidly replacing?” Does the Palo Alto Networks company need media coverage? Does CNBC? CompTIA? All of them? Perhaps there is a hidden agenda behind the article being published.
Lightrun AI Autonomous Debugger
This video showcases how with Lightrun developer observability platform, developers can leverage the AI debugger within the platform plugin to swiftly identify critical code level issues through automated hypothesis and insertion of debugging actions at runtime (Lightrun dynamic logs, virtual breakpoints (Snapshots) and more. That helps reduce MTTR to mere minutes.