Businesses across the bench have integrated load and performance testing into their development chain because they can no longer afford to be affected by slowdowns or not responding to applications. According to research, load times of 2 seconds or above lead to high abandon rates, and with each customer moving away without buying your products online, sales will decline.
Performance Measurement pre-production
Early load test implementation and execution help you to identify hotspots in the pre-production stages. Your developers will have enough time to fix such defects in the pre-production stages. Once the improved version gets deployed in your QA environment, your testing team can repeat their load test scenario and check if response times are within agreed boundaries. This tuning cycle moves on until all issues have been cleaned out.
Sadly, but true, many organizations stop their performance optimization post-deployment into production because they don't realize that there are excellent opportunities for reuse. Our dynamic web applications live and die by up-to-date content. Therefore, product teams upload new images, change product catalogs and present their goods more attractively. Unfortunately, some of those modifications often harm the user experience.
Just a minority of 10 percent of all customers report performance problems. Our service portfolio is rising, which is eventually why users often move away instead of claiming slow response times. Businesses should realize that permanent performance monitoring is essential to their success because they can't expect users to report slowdowns.
Close the Loop
Forward-thinking IT leaders monitor the availability, load times, and accuracy of their applications 24/7. They set thresholds to get alerts via established notification channels such as SMS, e-mail, or trouble tickets when critical issues occur. Synthetic monitoring in productive environments enables proactive error detection because you no longer need to wait for customers to report problems. Thanks to this technique, your teams are in the driver's seat and are aware of problem spots before a real customer gets affected.
Monitoring is not a matter of high investments. With the best practices below, you can quickly switch to a proactive monitoring strategy.
# Step 1 - Simulate user requests on applications deployed in production
You can recycle your load testing scripts and create a monitoring script out of them within a few clicks. Configure the execution interval and location to make sure that you don't miss essential regions.
# Step 2 – Configure Alerting
You set up monitoring for one purpose; being informed about the health of your production services. Modern monitoring solutions provide a broad range of alerting configurations. They let you specify thresholds, error patterns, and other filters to identify valid issues in your applications. E-Mail, SMS, or trouble ticket-based notification is the usual approach nowadays.
# Step 3 – Setup Reporting
The best monitoring solution becomes useless without the proper setup of analysis and reporting features. You can fully automate the creation of summary reports. Typically, such announcements contain high-level details about the actual health figures of your application under monitoring. Monitoring results help support teams to investigate alerts, drive remediation tasks and proactively take care of the reliability of their applications.
Some platforms allow the reuse of load testing scripts for synthetic monitoring.
The steps to transform a load test script into a monitoring script are:
Open your load test script a monitoring solution
Make adjustments such as update link to your production environment
Click on save and upload the script to our monitoring suite
Follow the steps in our monitoring wizard and finalize the monitoring setup
It's so easy, and the benefits are tremendous. Contact us if you would like to see such a monitoring suite in action or try it yourself.
Keep up the great work! Happy performance engineering!