Optimize Before You Observe
with Active Telemetry
Mezmo sits in front of Dynatrace as an intelligent pre-processing layer, helping you reduce noise and cut DDU costs while supercharging Davis AI with cleaner, more relevant data. Get the right insights without the sticker shock.
Let's Talk About Your Dynatrace Reality Check
You love Davis AI's insights, but these DDU nightmares keep you up at night:
"We pay all this money for Davis AI, but I still end up grepping log files at 2 AM because the good data is buried in garbage."
— Every Dynatrace Admin, Ever
Davis Data Unit (DDU) Cost Explosions
A single new tag or custom metric can burn through your DDU quota faster than you can say "container_id". High-cardinality labels are silently multiplying your storage costs.
The 2 AM Command Line Reality
During critical outages, you're still SSH-ing into servers to grep logs because the data you need is buried in noise or delayed by ingestion.
Storing Every Single Trace
Your budget is bleeding because you're paying to store thousands of routine health check traces while the critical error traces get lost in the noise.
Noisy Logs Drowning Davis AI
Verbose DEBUG messages and repetitive health checks are choking your system, slowing down Davis correlations, and making incident resolution take forever.
Here's How Mezmo Fixes This
Mezmo intelligently processes your telemetry data before it hits your DDU bill, giving Davis AI the clean, relevant data it needs to shine.
Guarantee Critical Trace Capture
Tail-based sampling eliminates routine health check noise while ensuring 100% capture of error traces and high-latency spans that Davis needs for root cause analysis.
Real-Time Incident Response
Live Tail bypasses Dynatrace ingestion delays entirely. View raw log streams during incidents to find root causes in seconds, not minutes.
Supercharge Davis AI
Feed Davis cleaner, more relevant data so it can make better correlations and provide more accurate insights. Less noise = smarter AI.
Slash DDU Costs at the Source
Transform thousands of high-cardinality metrics into a few high-value aggregates (p95, p99, averages). Control what gets ingested before it burns through your quota.
Before vs. After Mezmo: Real Impact on Your Operations
See how Mezmo transforms every aspect of your Dynatrace operations
Operational Aspect
Before Mezmo
After Mezmo
Improvement
Operational Aspect
Monthly Observability Costs
DDU consumption & billing
Before Mezmo
Unpredictable & Rising
Bills grow 2-3x faster than usage
After Mezmo
Controlled & Predictable
Intelligent cost management
Improvement
40-70%
Cost Reduction
Operational Aspect
Time to Troubleshoot
Mean time to resolution (MTTR)
Before Mezmo
Slow & Frustrating
SSH into servers at 2 AM
After Mezmo
Fast & Efficient
Real-time Live Tail debugging
Improvement
30-50%
Faster MTTR
Operational Aspect
Data Quality
Signal-to-noise ratio
Before Mezmo
Noisy & Overwhelming
Davis AI drowning in verbose logs
After Mezmo
Clean & Relevant
High-value signals only
Improvement
50%
Data Volume Reduction
Operational Aspect
Developer Experience
Productivity & confidence
Before Mezmo
Anxious & Constrained
Fear of adding new metrics/logs
After Mezmo
Confident & Empowered
Full observability without fear
Improvement
100%
Peace of Mind
Operational Aspect
Platform Team Load
Operational overhead
Before Mezmo
Constantly Fighting Fires
Manual data cleanup & cost control
After Mezmo
Strategic & Proactive
Automated optimization
Improvement
75%
Less Manual Work
Powerful Capabilities That Amplify Dynatrace
Every feature is designed to maximize your existing Dynatrace investment
Metric Aggregation & Shaping
Transform thousands of custom metrics into high-value aggregates (p95, p99, averages) to slash DDU costs while improving signal quality for Davis AI.
Perfect for: High-cardinality Kubernetes metrics
Cardinality Management
Prevent DDU cost explosions by controlling, filtering, and reducing unique labels (pod_id, customer_id) before they reach Dynatrace.
Perfect for: Container-heavy environments
Tail-Based Sampling
Automatically drop noisy traces while guaranteeing 100% capture of traces with errors and latency issues that Davis needs for accurate root cause analysis.
Perfect for: Microservices architectures
Live Tail
Bypass Dynatrace ingestion delays entirely during incidents. View retention-less, raw log streams in real-time to find root causes in seconds.
Perfect for: Emergency troubleshooting
Responsive Pipelines
Auto-adjust data filtering based on conditions with a 4-hour buffer for risk-free processing. Never lose critical data.
Perfect for: Dynamic workloads
Data Profiling
Use ML to automatically classify data and identify opportunities to remove redundancies and low-value telemetry before it hits your DDU quota.
Perfect for: Data discovery & optimization
Real Results from Real Teams
See how teams like yours are winning with Mezmo
50%
Data Volume Reduction
"Mezmo helped us reduce our overall telemetry data volume by 50% by filtering and parsing data to ensure we only indexed the fields we actually needed."
— Netlink Voice
30-50%
Faster MTTR
"Teams using Mezmo consistently reduce mean time to resolution by 30-50% through cleaner, more relevant data feeding into their observability platform."
— Platform Engineering Team
85%
Cost Reduction
"Using Data Profiler, we discovered we were sending massive amounts of verbose health check logs. Mezmo helped us create cost metrics and optimize our pipeline."
— Schier Engineering
Common Questions About Mezmo + Dynatrace
Let's address the elephant in the room
Won't adding another tool between my apps and Dynatrace increase complexity?
How does Mezmo affect Davis AI's capabilities?
What about DDU consumption? How much can I actually save?
How does deployment work with my existing Dynatrace setup?
What if I need the raw data that Mezmo filters out?
Will this impact my existing Dynatrace dashboards and alerts?
Ready to Tame Your DDU Costs?
Join engineering teams who've already optimized their Dynatrace investment with Mezmo. See how much you could save in a 15-minute personalized demo.
