Operations | Monitoring | ITSM | DevOps | Cloud

Atatus APM: Full-Stack Visibility for Modern Engineering Teams 2025

APM stands for Application Performance Monitoring or Application Performance Management. It helps engineering teams track key metrics, detect slowdowns, and improve the overall performance of their applications. With Atatus APM, you get complete visibility into your application, from backend code and databases to external services and frontend performance.

How to Troubleshoot Outages Faster Using Elastic Observability [2 Min Live Demo]

In this video, I’ll show you how Elastic Observability helps you reduce downtime, accelerate root cause analysis, and unify logs, metrics, and traces in one powerful dashboard. With native OpenTelemetry support, AI-powered troubleshooting, and built-in anomaly detection, you can streamline your workflows and boost service reliability.

Cloudflare's Resolver Outage: More Than Just DNS

“It’s always DNS.” That’s the running joke in IT. When websites won’t load and apps grind to a halt, DNS—the internet’s address book—is often the first to get blamed. That’s because DNS translates human-friendly names like google.com into IP addresses that computers use to route traffic.

FinOps For AI: How Crawl, Walk, Run Works For Managing AI Costs

“It started as an experiment.” That’s how it begins at most companies. A small team spins up a few GPU instances to train a proof-of-concept model. Maybe it’s a fraud detection algorithm. Maybe it’s GenAI for support tickets. Either way, it’s just a test. Then the results come in, and they’re promising. Suddenly, that model is powering new features. Teams are fine-tuning LLMs in parallel.

What's New with NinjaOne MDM for Mac OS

NinjaOne 9.0 Week, Day 1: What's New with NinjaOne MDM for Mac OS Welcome to the first installment of "9.0 Week", where each day, we'll look at new features and capabilities included in the lastest NinjaOne release. In this stream, Product Manager Paul Evans will highlight the new improvements to NinjaOne Mobile Device Management, including device level policy override support to iOS, iPadOS, and Android devices.

From Reactive to Proactive: A User-Centric Digital Strategy for Banks

In today's digital-centric banking environment, financial institutions must be able to provide seamless and reliable application performance across all digital channels - from a branch to a mobile device. Failure to do so results in real impact to customer satisfaction, trust, and loyalty. Modern banking applications are increasingly complex, running off of internet-centric distributed architectures involving many different parties and services. For these modern tech frameworks, traditional APM tools are no longer sufficient to ensure service reliability and optimal customer experience.

If your site is slow, it might as well be down.

It’s no longer enough for a site to just be available; it had to be fast. If the experience lags, your customers will bounce within seconds. The consequences scale fast: business stops and revenue disappears. You need to monitor performance across the full delivery chain because speed is what keeps users engaged.

The Rise of Tech Events in India: A New Era for Cloud-Native Computing

As India emerges as a significant player in the global public cloud landscape, with its public cloud services market projected to reach $25.5 billion by 2028 at a CAGR of 24.3% for 2023-28, the country is witnessing a surge in tech events. This growth is mirrored in the live events market, which is experiencing a 15% YoY growth, fostering a stronger community and facilitating the exchange of ideas and innovation in the public cloud sector.

Smarter Workflows, Faster Insights: How InfluxDB 3 Unlocks the Power of Python at the Source

Businesses across industries rely on time-stamped data to track system health, monitor performance, and improve operations. Whether it’s sensors on a factory floor or usage logs from a SaaS platform, time series data reveals how things change. As businesses digitize operations and add connected devices, sensors produce growing streams of time-based data. This opens the door to faster analytics and smarter automation. But legacy approaches can’t keep up.

Monitor agents built on Amazon Bedrock with Datadog LLM Observability

As large language models (LLMs) grow more powerful, organizations are deploying agentic AI applications to tackle complex, multi-step tasks. With Amazon Bedrock Agents, developers can orchestrate these agents to manage tasks such as triggering serverless functions, calling APIs, accessing knowledge bases, and maintaining contextual conversations—all while breaking down complex user requests or tasks into manageable steps.