InfoQ Homepage application performance management Content on InfoQ
-
PerfView: The Ultimate .NET Performance Tool
Sasha Goldshtein talks about PerfView, an open source tool for .NET performance diagnosis used in production environments to solve CPU, wall-clock time, and memory usage issues.
-
How to Build Observable Distributed Systems
Pierre Vincent covers key techniques to build distributed applications, including details on useful health checks, best practices for instrumentation with metrics, logging and tracing.
-
Continuous Optimization of Microservices Using ML
Ramki Ramakrishna shares Twitter’s recent experience in applying Bayesian optimization to the performance tuning problem, discussing a service used for continuously optimizing microservices.
-
Real-Time Monitoring with Grafana, StatsD and InfluxDB
Artur Prado presents a number of monitoring tools, how to use them and some code involved in tracking certain events.
-
Understanding Python Memory at Instagram
Min Ni discusses how Python memory profiling is done at Instagram, insights from memory profiling data, and learnings from tuning and improving Python memory garbage collection.
-
NDBench: Benchmarking Microservices at Scale
Vinay Chella and Ioannis Papapanagiotou discuss Netflix's Cloud benchmark system, how it was integrated with their release cycle, showcasing how multiple instances can be monitored from a single UI.
-
Performance beyond Throughput: An OpenJ9 Case Study
Marius Pirvu talks about the new advancements in the area of JVM performance using the latest open source JVM technology at Eclipse OpenJ9 running with OpenJDK.
-
Monitoring Modern Architectures with Data Science
Dave Casper talks about how modern data science and algorithms are being applied to "fight machines with machines".
-
Performance Mythbusting Panel
The panelists answer audience questions on real-world applied performance proofs across stacks including Java, .NET and Python.
-
Control Flow Integrity Using Hardware Counters
J. Butler and C. Pierce present a system for early detection and prevention of unknown exploits. Their system uses Performance Monitoring Unit hardware to enforce coarse-grained Control Flow Integrity
-
Code Archaeology
David Mitchell shows how to create visualizations out of code: building a map for a large, legacy code base, creating visuals without drawing, and explaining a roadmap to bring code under control.
-
Java at Speed: Getting the Most out of Modern Hardware
Gil Tene discusses some of the optimizations and capabilities that the latest crop of JVMs are able to apply when running on the latest servers, and performance issues with financial applications.