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Performance, Scalability and Architecture

Andreas Grabner

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Key Performance Metrics for Load Tests Beyond Response Time | Part 2 In Part I of this blog I explained which metrics on the Web Server, App Server and Host allow me to figure out how healthy the system and application environment is: Busy vs. Idle Threads, Throughput, CPU, Memory, etc. In Part 2, I focus on the set of metrics captured from within the application server (#Exceptions, Errors, etc.) as well as the interaction with the database (connection pools, roundtrips to database, amount of data loaded, etc.). Most of the screenshots shown in this blog comes from real performance data shared from our Dynatrace Free Trial users that leveraged my Share Your PurePath program where I helped them analyze the data they captured. I also hope you comment on this blog and share your metrics with the larger performance testing community. 1. Top Database Activity Metrics The... (more)

Key Performance Metrics By @GrabnerAndi | @DevOpsSummit [#APM #DevOps]

Key Performance Metrics for Load Tests Beyond Response Time | Part I Whether it is JMeter, SoapUI, Load Runner, SilkTest, Neotys or one of the cloud-based load testing solutions such as Keynote, Dynatrace (formerly Gomez) or others, breaking an application under heavy load is easy these days. Finding the problem based on automatically generated load testing reports is not. Can you tell me what is wrong based on the following reports? Load Testing Reports alone are showing you that there is a problem - but not necessarily where you should look next My Key Metrics from Web Server t... (more)

Web Service Monitoring 101: Bad Deployments | @DevOpsSummit [#DevOps]

Web Service Monitoring 101: Identifying Bad Deployments Have you ever deployed a change to production and thought "All went well - Systems are operating as expected!" but then you had to deal with users complaining that they keep running into errors? When deployments fail you don't want your users to be the first to tell you about it: Sit down with the Business and Dev to define how and what to monitor We recently moved some of our systems between two of our data centers - even moving some components to the public cloud. Everything was prepared well, system monitoring was set u... (more)

Don’t Trust Your Log Files | @DevOpsSummit [#DevOps]

Don’t Trust Your Log Files: How and Why to Monitor All Exceptions I would say that only one out of a million exceptions thrown in an application actually makes it to a log file - unless you run your application in verbose logging mode - Do you agree? No? Here is why I think that is: because most exceptions are handled by your code or by the frameworks your app uses. Here is a chart from an enterprise application showing that there are about 4000x more custom application exception objects thrown than important log messages written: 4000 times more Exceptions than log messages: Ca... (more)

Recursive Browser Redirect Loops | @DevOpsSummit [#DevOps]

Performance Impact of Recursive Browser Redirect Loops 100% Coverage I just recently wrote a blog about BOTs causing unwanted traffic on our servers. Right after I wrote this blog I was notified about yet another "interesting" and unusual load behavior on our download page which is used by customers to download latest product versions and updates: If you see such a load behavior you typically assume that you just released a new product version or maybe an update to our agents and many people are downloading it like crazy. Unfortunately that was not the case. The spike in traffic ... (more)