Operations | Monitoring | ITSM | DevOps | Cloud

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.

Proactively troubleshoot with synthetic testing and distributed tracing

As your application grows in complexity, identifying the root cause of issues becomes increasingly difficult. Many monitoring strategies make this even harder by siloing frontend and backend data. To effectively troubleshoot problems that spread across your app, you need visibility not just into each part of your stack, but also into how these parts interact.

A look back at DASH 2025

DASH 2025 brought the Datadog community together like never before. During our biggest event yet, thousands of attendees gathered at the North Javits Center in New York City for two and a half days of content, learning, and community, where they deepened their knowledge and connected with peers. Here's a quick look back at some of the highlights from this year's DASH.

Reliability means being there right when your customer needs you

When your systems are reliable, it means your customers can count on your applications to be there for them. Full transcript:  To me reliability means a good night's sleep, and being able to confidently go to bed and wake up the next day feeling ready to get out there and do my best work and not worry about the experience that our customers might have had through the night.

Kubernetes Monitoring backend 2.2: better cluster observability through new alert and recording rules

We’re excited to announce version 2.2.0 of the backend for our Kubernetes Monitoring solution in Grafana Cloud is now available. The app’s backend is supported by kubernetes-mixin, an open source Prometheus Monitoring Mixin, and this latest version features significant improvements to alert rules and recording rules that will enhance your cluster observability and monitoring experience. There’s a lot to tell you about, so let’s dive in.