Skip to main content

Tracing performance issues with Performance Monitor

Before you start installing big (and expensive) tools to trace performance issues, it's a good idea to first have a look at Performance Monitor a/k/a PerfMon. It's an amazing tool that goes far too often unused available freely on every windows machine. Through a lot of different performance counters you can monitor different aspects of your system. To open PerfMon, just go to the Start Menu, choose Run and type perfmon.

If you want to find out how the system is performing, then the following counter give you a good overview of general activity of the system.

  • Processor utilization
    • Processor\% Processor Time\_Total - how 'loaded' is the CPU at any given time. Don't confuse 100% processor utilization with a slow system though - processor queue length, mentioned above, is much better at determining this.
  • Memory utilization
    • Process\Working Set\_Total (or per specific process) - this basically shows how much memory is in the working set, or currently allocated RAM.
    • Memory\Available MBytes - amount of free RAM available to be used by new processes.
  • Disk Utilization
    • PhysicalDisk\Bytes/sec\_Total (or per process) - shows the number of bytes per second being written to or read from the disk.
  • Network Utilization
    • Network Interface\Bytes Total/Sec\nic name - Measures the number of bytes sent or received.

You can find  more info about the usage of the performance monitor and some other useful performance counters in this Windows perfmon- top 10 counters post.

Popular posts from this blog

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...

Cache stampede: when our cache turned against us

While investigating some performance issues, we ran into an ASP.NET Core API that cached a fairly expensive aggregation query for 60 seconds. Under normal load, that was fine: one request rebuilds the cache, everyone else reads from it. Under peak load, dozens of requests would arrive in that same expiry window, all see a cache miss, and all fire the same expensive query in parallel. The database didn't like that. That was the moment when our caching layer stopped helping and started hurting. A burst of requests comes in at the same time, all miss the cache, and all go hammer the database or the downstream API at once. That's a cache stampede . The cache was supposed to protect our backend, and for a few hundred milliseconds it did the opposite. Why this happens IMemoryCache.GetOrCreate (and its async sibling) looks like it protects you, but it doesn't add any locking on its own. Look at the naive version: public async Task<Report> GetReportAsync(string key) ...

A complex system designed from scratch never works

A few years ago, I worked as an architect on a big mainframe rewrite. I still count it as one of my failures. Not because the technology was wrong, but because I couldn't convince the management team to simplify the approach. Years later, the organization is still struggling to get the new system up and running. I left the project at the time, because I couldn't put my name behind an approach that would take very long and cost a lot of money without a working system to show for it along the way. Gall’s Law That memory keeps coming back to me, because it's a textbook case of Gall's Law playing out in real life. Gall's Law , from John Gall's Systemantics , states it plainly: A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works, and it cannot be patched to make it work. You have to start over with a simple system that works. What does that mean in practice,...