Table of Contents
Welcome friend! This comprehensive hands-on guide will equip you with pro-tips to unlock actionable performance insights from LoadRunner test results like a seasoned expert.
We‘ll cover the capabilities of LoadRunner‘s robust analysis interface in-depth before seeing it in action with step-by-step walkthroughs. We‘ll also tackle expert techniques that adopt smart analysis practices.
If you‘re ready to level up your result analysis and troubleshooting game, let‘s get started!
Why Result Analysis Matters
As web apps grow in scale and complexity, validated peak performance matters more than ever. Load testing helps benchmark capacity limits and breakdown points.
But executing load tests is just the beginning. To reap rewards, one needs to dissect the volume test data to isolate root causes and optimize systems.
This is where LoadRunner‘s flexible analysis interface shines. It makes the data dredging process easier with:
Key Analysis Capabilities:
- Interactive Graphs: Visualize performance metrics like response times, throughput etc over time.
- Raw Data Tables: Inspect complete test dataset across various dimensions like geo, VUser types etc.
- Summarized Statistics: High-level test result summary with execution details, errors and more.
- Access to Logs: Debug issues by analyzing full activity and error logs chronologically.
- Comparison Reports: Visual overlay of graphs across test runs and comparison of metrics.
- Custom Reporting: Build reusable report templates showcasing key graphs, critical metrics and insights.
These complimentary analysis capabilities help you investigate effectively and build powerful reports.
Now let‘s see it come to life with an example walkthrough!
Step-by-Step Analysis of Sample Test Run
Here I have results from a sample test run loading an e-commerce web app. It executed a shopping workflow on desktop and mobile browsers from North America and Europe.
Let‘s analyze:
1. Filter to Working Set of Interest
First, I applied filters to narrow my analysis to only mobile transactions from Europe – my current area of focus.
2. Analyze Response Time Graphs
The graph shows response times for the filtered transaction set spiking during test ramp up, indicating early stress points.
I can visually correlate multiple graphs like VUsers, Throughput and Response Times to identify patterns.
3. Inspect Detailed Logs
I inspected the detailed test logs around a spike at 9:23 AM to debug further. The log trail showed Checkout transaction errors here due to heav load.
4. Compare With Past Run
Overlaying the Response Times graphs for the last 3 test runs, I saw this initial spike amplifying gradually indicating capacity limits reached.
5. Ideate Optimization Hypothesis
This helps me hypothesize that revamping checkout architecture could be crucial improvement area. I‘ll discuss with engineers before next test cycle.
This walkthrough showcases the interactive capabilities facilitating effective analysis. You can filter to working set, overlay graphs, inspect detailed logs at interesting points and build custom reporting.
Okay, now that we‘re warmed up, let‘s look at…
Best Practices for World-Class Analysis
Here are proven techniques curated from performance gurus to further strengthen your analysis:
1. Establish Key Baselines
- Profile performance at low loads without bottlenecks to baseline platform capacity.
- Track this over multiple test runs to quantify scope for optimization.
2. Derive Actionable Metrics
- Align metrics like checkout performance, login times with business priorities.
- Aggregate web, database, network views for end-to-end pulse.
3. Iterate to Identify Next Priorities
- Build comparison reports across test runs.
- Maintain backlogs to prioritize optimization areas with data validated business impact.
4. Customize Analysis Building Blocks
- Catalog common diagnostics workflows into reusable templates.
- Create libraries of filters, dashboards and graphs tailored to your ecosystem.
Thoughtfully adopting these practices prevents data deluge and keeps your team focused on high-reward performance opportunities.
Now let‘s level up further with expert techniques:
Pro Tools to Unlock Deeper Insights
Here are some advanced tricks top gun performance analysts swear by:
1. Envision App Topology Hotspots
- Map response time graphs onto visual models of application architecture flows.
- This quickly highlights components struggling to scale by visualizing hotspots.
2. Enrich Data in Splunk
- Stream test run log data events into Splunk.
- Leverage Splunk‘s rich correlation and visualization capabilities for deeper reporting.
3. Script Custom Metrics
- Code custom web server metrics like concurrent shopping carts tracked.
- Use LoadRunner web service calls to push these metrics from load generators to Analysis.
4. Curate Executive Health Dashboard
- Handpick 8-10 key metrics across critical business scenarios, infrastructure.
- Build interactive dashboard updated in near real-time for executive visibility.
These advanced techniques help uncover granular, actionable insights!
Now to inspire you further, here are some…
Real-World Success Stories
1. Top Financial Firm Optimizes Trade Platform Latency
A leading stock brokerage firm leveraged Response Time breakdowns to discover and revamp a legacy third-party trade order routing component. This significantly improved ticket acknowledgement times during peak loads.
2. Sports Retailer Averts Outage
A global sports equipment retailer diagnosed gradual deteriorations in API latencies between web and order databases. Proactive capacity upgrades averted outage predicted through trend analysis during the next holiday sale surge.
3. Hotel Giant Boosts International Expansion
An expanding hotel portal detected 250+ ms lags loading property imagery for European users vs North Americans. Pinpointing geo-specific user experience gaps led to CDN improvements targeted for global consistency.
As evident, thoughtful test analysis unlocks immense value!
In closing, I hope you enjoyed this hands-on tour of mastering LoadRunner analysis. Do try out these techniques and leverage the full power of data at your fingertips! Please share any tips you find helpful or questions below.
Happy analyzing my friend!