Datadog is a cloud monitoring and security platform that provides observability across infrastructure, applications, logs, user experience, and security signals. It is used by engineering, IT, and security teams to monitor performance, troubleshoot incidents, and manage risk across modern cloud and hybrid environments.
This is like putting a smart security camera on all your insurance transactions. It watches events in real time, spots suspicious patterns that look like fraud, and alerts your team before money goes out the door.
Think of this as a playbook for turning your IT monitoring tools into a smart âcontrol towerâ that spots problems early, understands whatâs going wrong across systems, and often fixes or routes issues automaticallyâusing ServiceNowâs AIOps capabilities as the backbone.
Think of this as a control tower that uses AI to watch over all your IT systems, predict issues, and help fix them automatically before they impact customers.
Imagine your entire IT infrastructureâservers, networks, appsâconstantly watched by a very fast, very smart assistant that never sleeps. It notices tiny warning signs before humans can, connects dots across thousands of alerts, and either fixes issues automatically or tells your team exactly where to look.
This is like an AI control tower for your IT systems that constantly watches logs, metrics, and alerts, spots issues before humans notice them, and suggests or triggers fixes automatically.
This is like giving your IT operations team a smart autopilot: it continuously watches all your systems, spots issues before they become outages, and automatically takes many of the routine actions a human operator wouldâonly faster and at much larger scale.
This is like an always-on AI control tower for your IT systems that watches all your apps, servers, and cloud services, spots issues before users notice, and tells your teams exactly what to fix and why.
This is like an AI-powered control tower for your IT systems: it watches all your monitoring tools, connects related alerts into a single story, and tells your teams whatâs breaking and where, instead of drowning them in noisy notifications.
This is about using open source AI tools as a smart control room for IT operations: the AI watches logs, metrics, and alerts from your systems, spots issues early, and can even fix some of them automaticallyâwithout needing an army of engineers staring at dashboards all day.
Think of AIOps platforms as a 24/7 AI control tower for your IT systems. They watch logs, metrics, and alerts from all your tools, spot patterns humans would miss, and automatically fix or route problems before they become outages.
Think of AIOps as an alwaysâon control tower for your IT systems that watches all the logs, alerts and performance metrics, spots issues early, and suggests or triggers fixes automaticallyâlike an experienced operations team that never sleeps and reads everything at once.
Think of AIOps as an AI control tower watching all your IT systems 24/7. It reads all the logs, alerts, tickets, and metrics, spots patterns humans miss, and then either recommends or automatically takes actions to keep systems healthy and prevent outages.
Think of AIOps on AWS as putting an autopilot on your IT operations. It watches logs, metrics, and alerts across your cloud systems 24/7, learns what ânormalâ looks like, and then automatically flags problems, finds root causes faster, and can even fix some issues without a human jumping in.
This is like giving your IT department a smart assistant that constantly watches all your servers, apps, and networks, learns what ânormalâ looks like, and alerts you early when something strange is happeningâbefore it becomes a major outage.
Imagine your entire IT environmentâservers, networks, apps, cloud servicesâconstantly watched by a smart assistant that never sleeps. It reads all the logs, alerts, tickets, and performance data, spots early warning signs, figures out whatâs really important, suggests fixes, and in many cases can trigger automated responses before users even notice a problem.