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After examining the situation in detail, the PFLB team proposed a Quick Load Testing solution. It included a four-day load testing project carried out by PFLB together with Tynor’s in-house engineers using a powerful testing PFLB platform.
The solution provided test results and recommendations on what to improve to increase website performance. In addition, a month-long subscription to PFLB Platform included in the Quick Load Testing proposal allowed Tynor’s team to run more test iterations on their own when needed.
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char *VtsServer = "myVTSserver";
int nPort = 8888;
int rc;
rc = lrvtc_connect(VtsServer,nPort,VTOPT_KEEP_ALIVE);
lr_log_message("Connect result rc=%d\n", rc);
rc = lrvtc_send_row1("C_ID;C_info;C_credit",
"{p_cid};{p_cid}_info;0", ";", VTSEND_SAME_ROW);
lr_log_message("Send result rc=%d\n", rc);
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Test Environment Complexity
Continuous performance testing requires realistic performance testing environments that accurately mimic production conditions. This can be challenging to set up and maintain, especially for large-scale applications with complex architectures.- Basic is simpler, less sensitive to seasonality or long-term trends; good for metrics without predictable cycles.
- Basic is simpler, less sensitive to seasonality or long-term trends; good for metrics without predictable cycles.
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Test Environment Complexity
Consistently generating and managing test data is critical for accurate performance assessments. Without realistic data, test results can be misleading, potentially masking serious issues.
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- Start early. This way, you’ll have time to fix every bottleneck found while testing before high season starts. There are many tools to test your performance right now, including boomq.io.
- Ask for qualified QA help to figure out the reasons behind test results. What is slowing down your system? Are the pictures in the mobile version too large? Is your video ad slowing down the TTI by 2? How many simultaneous users can shop? Is this as many as you expect on holidays, or less?
- Don’t run tests during peak hours. You don’t want your customer to be in the middle of a transaction when the system freezes.
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- Start early. This way, you’ll have time to fix every bottleneck found while testing before high season starts. There are many tools to test your performance right now, including boomq.io.
- Ask for qualified QA help to figure out the reasons behind test results. What is slowing down your system? Are the pictures in the mobile version too large? Is your video ad slowing down the TTI by 2? How many simultaneous users can shop? Is this as many as you expect on holidays, or less?
- Don’t run tests during peak hours. You don’t want your customer to be in the middle of a transaction when the system freezes.
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Price and Value
I calculated the cost per virtual user hour (VUH) whenever possible. This made it easy to see which platforms deliver the most realistic traffic for the money. For enterprise-scale scenarios, I also considered how pricing changes as concurrency scales up.-
Basic is simpler
Less sensitive to seasonality or long-term trends; good for metrics without predictable cycles. -
Basic is simpler
Less sensitive to seasonality or long-term trends; good for metrics without predictable cycles.
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Basic is simpler
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Hosted Load Generators
Managing your own load infrastructure adds friction. I prioritized tools that provide hosted load generators in multiple geographic regions, so you can run tests quickly without worrying about servers.
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Price and Value
I calculated the cost per virtual user hour (VUH) whenever possible. This made it easy to see which platforms deliver the most realistic traffic for the money. For enterprise-scale scenarios, I also considered how pricing changes as concurrency scales up. -
Hosted Load Generators
Managing your own load infrastructure adds friction. I prioritized tools that provide hosted load generators in multiple geographic regions, so you can run tests quickly without worrying about servers.
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Explore Our Portfolio
Check out our portfolio and case studies for more insights into the challenges we’ve solved and the results we’ve delivered.
Visit our PFLB Case Studies Page to learn more.
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We smoothly moved over 100 JMeter projects to PFLB, and it's been a total game changer. It's given our team of 50+ remote performance engineers the ability to handle large-scale load tests every day with real ease.
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“We knew that the business expected us to support high sales. “But no one was completely sure that our new site was ready for it. Moreover, our team lacks competence in load testing, and we had only a week left before the launch.”
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“The tight deadline felt daunting, but I was relieved to hear that they provide a quick load testing solution.”
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