Dynatrace built from the ground up to monitor hyperscale environments

Monitoring with Dynatrace shows you the most important performance metrics for each service in a single location

Traditional monitoring doesn’t scale

The monitoring tools that may have served you well in the past were never designed to handle elastic cloud infrastructure deployments, microservices and containers, and IoT.

Every APM solution—except Dynatrace—is still built on top of an older single-server architectural paradigm and, by extension, still relies on the traditional alert-based monitoring approach.

But that architecture isn’t nearly resilient enough for today’s highly distributed and dynamic environments, and trying to monitor them manually by watching dashboards just doesn’t work anymore.

Monitoring hyperscale environments with traditional monitoring tools has become a nightmare.

So we came up with a totally different approach

The new reality of today’s application landscape requires a new way to monitor. Dynatrace was developed from the ground up around a highly elastic cloud-native architecture and artificial intelligence to scale up and out to 100,000+ hosts in even the most diverse and complex environments.

Instead of making you try to keep up with everything manually, Dynatrace automates all the discovery, modelling, and analysis so you can deliver exceptional application experiences at the speed of modern business.

Dynatrace was designed specifically with modern hyper-dynamic environments in mind.

Why Dynatrace scales, and traditional tools don’t

With Dynatrace . . .   With traditional monitoring tools . . .
One single agent per host monitors everything—out of the box   Multiple agents per host—manual configuration required
All metrics unified in single data repository   Different data sets stitched together
Cloud-native elastic grid architecture scales to 100,000+ hosts   Legacy architecture restricts size of monitored environment
Automatic topology discovery and mapping of entire stack—every component, every dependency, every technology—end to end   Constant manual reconfiguration of rapidly changing topology—with limited visibility of dependencies
Machine self-learning continuously and automatically understands “normal” behavior for your specific system   Thresholds need to be set manually—an impossible task with ephemeral services and dynamic cloud instances
Auto-discovers and monitors containers without touching images   Need to manually instrument containers individually
Native support for PaaS platforms and IaaS components   Limited support for PaaS and IaaS technologies
One single actionable notification—no alert storms!   You get flooded with alerts
AI automates analysis—proactively identifying anomalies and pinpointing underlying root causes   You still have to analyze everything manually—usually only after the problem has already hit customers
Open APIs and out-of-the-box integration with orchestration layer tools   Limited support for orchestration layer tools


See how else Dynatrace compares to traditional monitoring

Cloud-native apps need cloud-native monitoring

We made the transformation to cloud-native ourselves, so we know firsthand how to build a solution that won’t break at hyperscale. Dynatrace architecture uses the most robust enterprise proven cloud technologies to be even more resilient and available than the system it monitors.

The scalability challenge of big data

As your application environment scales up and out, the volume, variety, and velocity of data multiplies exponentially. With the traditional monitoring approach, you’d drown in this hyperscale sea of data before you uncovered meaningful insights.

That’s where artificial intelligence comes in. AI can absorb huge amounts of information, automatically “connect the dots” between billions of metrics and millions of dependencies, and perform in milliseconds the kind of analysis that takes hours or days with the traditional manual monitoring approach.

The AI engine automatically analyzes billions of data point and millions of dependencies to identify when there's a real problem—and when there isn't.

Double the number of apps you monitor

Analysts estimate that most organizations typically monitor no more than 5% of their apps for performance and availability. That puts a lot of business at risk, but the reality is that there just isn’t enough time or manpower to monitor everything if you’re using traditional tools.

Automated AI-powered monitoring can double the number of your monitored apps—literally right away, with no additional headcount or infrastructure investment.

Dynatrace AI-powered automated monitoring can immediately double the number of apps you monitor.

Future-proof your monitoring

Dynatrace integrates seamlessly with the technologies of today—and tomorrow. We’re cloud-native ourselves, so we built a solution that welcomes modern technologies. In fact, the more diverse your ecosystem, the more you need Dynatrace.

Pay as you grow: Dynatrace elastic pricing models

Dynatrace offers different flexible pricing models to meet your business needs. With our pay-as-you-go philosophy, you pay for only what you use—whether that’s full-stack application monitoring, real user monitoring, cloud infrastructure monitoring, synthetic web checks, or some combination.

Or get full-featured Digital Performance Management for enterprise and web-scale environments.

And there’s no charge for your first 1,000 hours of monitoring.

1000 hours for free

Are you a managed service provider looking for a monitoring solution for your customers? Look no further and contact us today!

Sign up for Dynatrace today!

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