Michael Kopp

Michael Kopp

Those who know me know that I'm passionate about 3 things: rock climbing, physics, and performance. I've worked in performance monitoring and optimizations in enterprise environments for the better part of the last 10 years. Now as a Senior Principal, Product, Application & Microservices, I am doing my best to build those experiences into Dynatrace.

Show all authors

Michael Kopp

Why averages suck and percentiles are great

Dynatrace extends contextual analytics and AIOps for open observability

Simplify observability for all your custom metrics (Part 5: Telegraf)

Simplify observability for all your custom metrics (Part 3: Scripting languages)

Simplify observability for all your custom metrics (Part 2: OneAgent metric API)

Simplify observability for all your custom metrics (Part 1: StatsD)

Radically speed up your code by fixing slow or frequent garbage collection

Optimize your applications with 24×7 continuous thread analysis

New Dynatrace API enhances automatic service detection (Part 2)

New Dynatrace API enhances automatic service detection

Automated and fine-grained control of monitoring at scale (Early Adopter Release)

Understand & analyze all exceptions across your application landscape

Improved failure detection for functional errors based on request attributes

Compare service request performance and behavior over time

PurePath visualization: Analyze each web request from end-to-end

Request attributes: Simplify request searches & filtering

Customizable naming for auto-detected server-side services

Automated rule-based tagging for services

Root-cause analysis of ‘Suspension’ impacts

Top Performance Problems discussed at the Hadoop and Cassandra Summits