How to migrate to Datadog for better observability

Future-proof your business. The observability landscape isn't just changing it's exploding! With the rise of cloud-native architectures and AI-native applications, operational complexity is skyrocketing. If you're an IT Ops or SRE leader, you know the pain: fragmented tools, endless firefighting, and costs spiraling out of control. Traditional logging just can't hack it anymore. A modern log management strategy is the game-changer. It’s the key to shifting your teams from reactive, siloed manual efforts to truly proactive operations. Stop just collecting logs and start leveraging them to drive better business outcomes! Curious how to make the shift? Modernizing your log management with Dynatrace can help you; 1- Unlock strategic value: Transform raw telemetry into actionable insights, dramatically cutting overhead and costs. 2- Shift to proactive operations: Establish a single source of truth from all your telemetry for unparalleled reliability. 3- Scale without compromise: Handle logs across every platform and environment effortlessly and without performance tradeoffs. Ready to stop struggling with complexity and start leveraging your data? Download our new eBook to learn exactly how modernizing your log management approach can transform your operations and unlock new levels of business performance. Just follow the link https://lnkd.in/ehKCXBnJ Enjoy the read and may the detections be with you, stay safe! #LogManagement #Observability #SRE #ITOperations #CloudNative #AINative #DigitalTransformation #DevOps Dynatrace Dynatrace Software Intelligence Platform

Consolidating observability into a single open-source stack is no longer just a technical preference; it is a strategic decision. OneUptime’s unified approach across uptime, APM, incident response, logging, on-call, and status pages directly challenges fragmented, high-cost toolchains and vendor lock-in. For enterprises driving AI-native operations, this model demonstrates how integrated, open platforms can reduce spend, accelerate incident resolution, and simplify governance at scale. https://lnkd.in/dhKZg4H3 #EnterpriseAI #DevOps #TechLeadership

The move to cloud-native serverless environments has made infrastructure faster and smarter. But it is also infinitely more complex.  That’s why Avekshaa Technologies and Datadog are working together to help enterprises build observability frameworks that evolve with this new reality. Here’s how you can do it: 🔹 Focus on work metrics, not host metrics. CPU spikes don’t always mean user pain. Latency and error rates do. 🔹 Automate intelligently. Set alerts for symptoms that impact user experience, not every backend fluctuation. 🔹 Tag everything. In dynamic infrastructure, meaningful tags (like environment, region, version) make data searchable and alerts relevant. 💡 Reach out to us to learn how to go one step further. Let’s go from reactive observation to predictive monitoring to create systems that self-improve. #Avekshaa #Datadog #Observability #CloudPerformance #InfrastructureMonitoring #DigitalExcellence

🪄 Skip the agents. Get the #insights. Setting up optimization shouldn’t mean deploying another layer of complexity. Most tools still rely on agents, sidecars, or custom configs — slowing teams down before they even begin. 🚀 #AkamasInsights takes a different path: it connects directly to your existing #observability platforms like Prometheus, Dynatrace, or Datadog. No agents, no code changes — just instant visibility into how your #clusters and #workloads really perform. From first connection to first insights — it takes minutes, not projects. Because the fastest way to #optimize is to start right away. 🎥 Watch the video to see it in action. 🔗 Link to #AkamasInsights in the first comment. #AkamasInsights #Kubernetes #Optimization #AIOps #CloudNative #Reliability

🌟 New Highlights in Datadog: ->AI-driven monitoring & Bits AI agents for faster incident resolution. ->Deployment gating – automatically control release promotion based on observability data. ->Enhanced security & governance – tag-based data access control and secret scanning. ->Embedded OpenTelemetry collector – simplifies unified telemetry management. ->Advanced latency investigator & cost analytics for infrastructure visibility. This upgrade not only improved security but also strengthened observability and automation across our DevOps ecosystem ...👍

Why Every Company Needs to Take IT Observability Seriously In today’s digital-first world, performance is everything. Whether you’re running a banking app, a retail platform, or a government service — downtime or latency directly impacts your customers, reputation, and revenue. That’s where IT observability comes in. Implementing a strong observability solution isn’t just about monitoring uptime — it’s about giving your teams the visibility, context, and confidence to keep systems reliable, scalable, and secure. Here’s how the right observability tool benefits your business: Faster Incident Detection & Resolution: Spot issues before your users do. Observability helps teams trace root causes in real time — reducing mean time to detect (MTTD) and mean time to resolve (MTTR). Improved Customer Experience: A smooth, responsive digital experience keeps users engaged and loyal. Observability ensures your services stay performant even under heavy load. Data-Driven Decision Making: By correlating logs, metrics, and traces, observability tools give engineering and business leaders insights that drive smarter infrastructure investments. Optimized Costs & Resources: Identify underutilized systems, pinpoint inefficiencies, and right-size your infrastructure to save on cloud and operational costs. Empowered Teams & Better Collaboration: With unified dashboards and shared visibility, DevOps, SREs, and business teams can align on one source of truth — accelerating innovation and delivery. Join us on November 12th and see how Datadog helps you implement a stellar IT observability strategy! Register here https://lnkd.in/d3xBv622

It is that time of year when everyone starts predicting the future. Actually, never mind. That’s every day for me. A few thoughts on 2026 and beyond. The more I look at the enterprise landscape heading into 2026, the clearer it is that the real opportunity sits at the intersection of agents and the old SaaS ecosystem that can no longer keep up with the demands placed on it. The cracks are not theoretical. They are everywhere. Datadog customers talk openly about bills that exceed their AWS spend. Splunk is still carrying twenty years of architectural weight. CrowdStrike had a single update take down systems globally. These companies built billion dollar machines, but they were built for a different era and a very different scale of complexity. What enterprises want now is obvious. They want software that handles the work. Not assistive features. Actual tasks completed with autonomy. Autonomous reviews, autonomous cloud optimization, autonomous response, and autonomous incident handling. When you talk to teams inside large organizations, the numbers are wild. Security analysts see hundreds of alerts a day and resolve maybe five. DevOps teams burn hours on PR reviews and manual pipeline triage. SRE teams drown in noisy dashboards. These are perfect openings for agentic systems that run twenty four hours a day and never tire. The revenue potential is huge. The SecOps market alone sits north of fifty billion dollars in services that can be collapsed by intelligent agents. Observability is a ten billion dollar category with customers begging for predictable pricing and automation. DevOps is another fourteen billion dollars waiting for tools that reduce human load instead of increasing it. Even a tiny percent of these markets is life changing for any new entrant that ships with real agentic autonomy. My view is that the next twelve to twenty four months become the phase where enterprises shift from testing agents to fully adopting them. Systems that think, remember, and act will not feel experimental anymore. They will feel expected. And the companies willing to embrace that shift stand to capture entire categories that once felt untouchable. Want to get started today? Try one of my projects at ruv.io/projects

If we have talked in the last 6 months, I've probably mentioned the growing importance of context in software development. In this report, we explored the role of observability in building and maintaining healthy feedback loops from production back to your developers (and increasingly your AI coding assistants). We call this Observability-Driven Development. More to follow, but it was super fun to work on this with Carlos Casanova and Andrew Cornwall

🚀 How we built a Unified Insight Platform, one system to unify metrics, logs & alerts across environments. Visibility is not just about seeing, but also about knowing what to do next. We recently shared how we built the Unified Insight Platform — a next-generation observability system that helps engineers predict failures before they happen. 🧠 One platform. 📊 Unified metrics, logs, and alerts. ⚙️ Scalable and automated through Docker. 💡 Transforming monitoring from reactive to proactive intelligence. Read our new blog post and watch the video walkthrough, link in the comments. #OptimumPartners #DevOps #Observability #Automation #Infrastructure #Monitoring #EngineeringExcellence #AIOps #CloudNative

Building a Cloud-Based, Full-Stack Monitoring & Observability Platform — For Free! In today’s DevOps world, visibility is everything. While commercial solutions like ManageEngine Site24x7 or Datadog are excellent, you can actually build your own cloud-based observability stack — 100% free and open-source. Here’s what it looks like: 1. Prometheus for metrics & alerts 2. Grafana for visualization 3. Loki for logs 4. Tempo for traces 5. OpenTelemetry for instrumentation Combine these and you’ve got a full-stack, production-grade monitoring system that rivals most paid platforms — with complete control and zero licensing cost. Tools like SigNoz or OpenObserve even simplify setup with all-in-one dashboards. Perfect for startups, research projects, or tech teams who want performance insights without vendor lock-in. #DevOps #Observability #OpenSource #CloudComputing #Monitoring #Grafana #Prometheus #SigNoz #OpenTelemetry #SiteReliability