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Performance Testing

Ensure improved user experience with stable,
scalable, and responsive applications.

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Performance Testing

Ensure improved user experience with stable,
scalable, and responsive applications.

Overview

Applications fail to meet the required outcomes and customer expectations when performance testing is not an integral part of the overall development lifecycle. We, at Intelliswift, provide services right from the design stage and make it an iterative process, so that the product is continuously improved upon while in development itself.

We ensure that the application is responsive and reliable to respond to peak loads and is aligned to future releases, regulatory changes, and ongoing business growth. We also ensure that the applications can meet any contractual obligations and SLAs for performance.

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Key areas of focus

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Speed

Does the application respond quickly enough for the intended users?

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Scalability

Will the application handle the expected user load and beyond?

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Stability

Is the application stable under expected and unexpected user loads?

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Acceptability

Are you sure that users will have a positive experience on go-live day?

Performance Testing

Load/Benchmark Testing

  • Perform Under Anticipated Load
  • Compare with earlier version of SW/HW or competitor analysis
  • Simulate real life usage pattern.
  • Measure performance of Application under statistically representative load.
  • Perform on UI/API/Mobile

Stress/Fatigue Testing

  • Perform Under Extreme Load with Minimum Hardware/Requirement Support.
  • Check the Environment stability
  • To check response time is degraded, data is corrupted, security vulnerability is open or not, Check transaction loss after system fails.
  • Perform on UI/API/Mobile

Endurance/Sock Testing

  • Perform with expected load over long period of time
  • Helps to check for memory leaks
  • Perform on UI/API

Scale/Elasticity Testing

  • Scale up/down as per the load
  • Indicate threshold for upgrade requirements
  • Measures peak load an application can handle without degrading the performance
  • Perform on API/UI

Volume/Flood Testing

  • Large No. of Data Testing
  • Measures application, middleware, DB performance when data volume is high
  • Batch/ETL/Data Analytics/Bulk Email

Our Approach

Requirement Gathering

  • Gather performance requirements
  • Identify critical business scenarios at UI, API and DB layer
  • Define & agree on SLAs
  • Identify concurrency load levels
  • Performance Test and Monitoring Tool Selection
  • Architecture & Design understanding
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Test Planning & Design

  • Prepare Test plan
  • Prepare Workload Model
  • Define Performance Test Scenarios
  • Test Tool connectivity and verification
  • Define Acceptance criteria & targets
  • Identify test data dependencies
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Scripting

  • Creation of Test Scripts for identified flows using selected tool
  • Create test data and clean up scripts
  • Validate the test data
  • Setup Monitoring counters on Servers
  • Perform Dry run of the scripts
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Execution

  • Execute below tests with concurrent users
    • Benchmark Test
    • Load Test
    • Stress Test
    • Endurance Test
    • Scalability
  • Verify application logs and DB records in case of inserts and update scenario
  • Monitor the resource usage using monitoring tools
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Analysis & Tuning

  • Analyze the metrics & stats
  • Use Profiling tools for deep dive analysis
  • Use Application Monitoring Tools
  • Use application logs
  • Identify bottlenecks
  • Provide recommendations for tuning
  • Benchmark the results
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Reporting

  • Publish interim test results
  • Creation of Test Summary reports
  • Trending reports against TPS/Throughput
  • Ensure performance targets & SLAs are met
  • Test result Sign-off
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Performance
Readiness

Iterative & Multiple Runs

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Publish and
Sign-off

Key Metrices (Indicative Sample Set)

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Response Time

Total time to send the request and get the response.

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Request per seconds

How many requests are handled.

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Average Load Time

The average amount of time it takes to deliver every requests.

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Peak Response Time

Measurement of the longest amount of time it takes to fulfill a requests.

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CPU Utilization

How much time the CPU needs to process the requests.

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Memory Utilization

How much memory is needed to process the requests.

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Wait Time/Average latency

It informs the developers about the time it takes to receive the first byte after the request is sent.

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Transaction Passed/Failed

Measure the total number of successful and Unsuccessful requests.

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Throughput

Measured by Kilobyte per seconds, It shows the amount of bandwidth used during the test.

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Error Rate

This calculation is percentage of request resulting in errors compared to all requests.

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Concurrent User/Load Size

This is the most common measurement of the load and number of active users at any point.

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