![]() In particular, wireless traffic doesn't make sense to me. There results I get with bandwidth-monitoring tools simply do not make sense. I don't know if this is what I will ultimately use, it is just for plinking around and helping me understand what is what. I want to monitor LAN, WAN, and 2.4 and 5gHz wireless bandwidth with SNMP.įor now I am using PeakHour on OS X, just because it is easy to set-up. Sure, it’s pretty easy to break your application, website or API under an excessive load.I am having a heck of a time figuring out what interface is what on the AC87. Single user - Only one transaction completed.Ĭoncurrent user - Runs through a transaction from start to finish then repeats.Also find your peak traffic time (perhaps holiday rush?), then increase with percentages of expected traffic growth Peak-hour pageviews - Your base can come from your Web analytics tool (like Google Analytics).Session length - A group of interactions that took place on your website at a certain time, like how long did someone spend on your app or website, including jumping around to different pages.Virtual Users (VUs) - A certain number of users simultaneously accessing your system or a certain number of users accessing from different browsers.Throughput - often bandwidth consumed, but, in general, the maximum rate at which something can be processe.Requests per second - how many requests for HTML pages, CSS stylesheets, XML documents, JavaScript libraries, images, Flash/multimedia files, etc.Concurrent users - many virtual users are active at any given time.Error rate - percentage of problems compared to all requests.Peak response time - tells your longest cycle.Average response time - time to first byte or last byte.In this section, we highlight the areas of load testing metrics you should look out for to help you get to know your API, its limitations, and your users better.īefore we break down the kinds of areas you should be considering - because it’s not just your API and its metrics that will be able to measure performance - think about the following, as each ultimately affects your user experience: But figuring out why and how it broken isn’t so simple.How many actual users do you predict will access your system at once?.Web server metrics help you find errors in your API deployment, so you can scale and augment as needed: Load Testing Metric #1: Web Server Metrics Now that you know these key load testing terms, we break down how these will play out for you and your load testing results and where they are testing which parts.Busy and idle threads - Do you need more Web servers? More worker threads? Do you have an application performance hotspots slowing you down?.Throughput - How many transactions per minute can your API handle? When is it time to scale to more Web servers?. ![]() Bandwidth requirements - Is your network your bottleneck? Or is there content that is pulling it down that you can offload?.Load Testing Metric #2: App Server Metrics NET or something else, here’s where you can try to find deployment or config concerns: Whether your application server is Java, PHP.Load distribution - How many transactions are handled by each engine? Do you have load balance? Or do you need more application servers?.CPU usage hotspots - How much CPU usage do you need for each load? Can you fix programming to lower CPU or do you simply need more?.Memory problems - Is there a memory leak?.Worker threads - Are they correctly configured? Are there Web server modules that block these threads?.Load Testing Metric #3: Host Health Metrics Sometimes it’s not your API’s fault at all. These Web and application servers run on hosts. ![]()
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