CPU Saturation vs CPU Spike: Why IT Systems Slow Down and How to See It
CPU spikes and sustained CPU saturation affect IT performance differently. Learn how to tell them apart and respond with the right tools and actions.
Journal
Flame Graphs: Turning Raw Samples Into a Map of Where Time Is Spent
Learn to read flame graphs, find slow code paths, and turn sampling data into clear performance decisions.
When Memory Reclamation Pauses Work: Why Garbage Collection Stalls at the Worst Moments
Why garbage collection pauses cause latency spikes, how to spot them in metrics and traces, and how to reduce their impact on response times
IT Performance: A Complete Guide to Understanding, Measuring, and Improving Systems
Learn why IT systems slow down and how to measure performance using key metrics, bottlenecks, and monitoring basics for reliable operations.
Why IT systems slow down: how N+1 query patterns slow down web applications
Learn how N+1 query patterns slow down web applications by creating repeated small queries and avoidable round trips, and how to detect them early.
IT Performance and the Hidden Tax: Why Small Network Delays Multiply Across Every Request
Small network delays multiply across dependencies, quietly degrading IT performance. Learn how to see, measure, and reduce hidden latency costs.
Why IT Systems Slow Down: How to Read Latency Percentiles Instead of Averages
Averages hide slow requests. Learn how to read latency percentiles instead of averages to spot bad experiences in IT systems.
Storage I/O Contention Explained: Why Applications Stall While Processors Look Idle
Applications can freeze while CPU usage looks normal. Storage queues build up, threads wait, and response times climb. Learn how to spot and fix it.
Why Databases Slow Down at Peak: Queueing, Lock Waits, and How to Spot Them
Peak-hour slowdowns often come from queueing and lock contention. Learn why databases get slow and how to spot lock waits early.
Alert Thresholds That Work: How to Separate Urgency from Noise in IT Performance
Good alert thresholds separate real urgency from noise, helping teams act fast on real slowdowns while ignoring misleading spikes.