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Enterprises across the globe are migrating to the Cloud to enjoy greater agility, scalability, and flexibility. However, Cloud migrations between Oracle EBS and Oracle Cloud can be challenging. A successful Oracle Cloud migration means ensuring that your data is secure and the Oracle Fusion Cloud environment is properly configured to the size and complexity of your existing environment. This is where Oracle Cloud performance testing comes in.
In this blog post, we will delve into the significance of performance testing during an Oracle Cloud migration. Additionally, we will explore various types of performance testing and their objectives and advantages.
What is Oracle Performance Testing
Performance testing is an essential step to ensure that Oracle Cloud Applications can handle the expected workload without compromising their performance. Oracle performance testing is crucial to ensure that the applications meet the performance requirements and expectations of end-users under various conditions - normal usage, peak loads, and stress scenarios. By simulating real-world usage scenarios and analyzing system behavior under different conditions, organizations can optimize performance, enhance user experience, and minimize the risk of downtime or performance degradation.
Also Read: Oracle Load Testing Tools
Exploring Different Types of Performance Testing
The two main components of performance testing are load testing and stress testing.
- Load testing: Load testing is a type of performance testing that simulates user traffic and measures the behavior of a system under a specific load. The load condition can be simulated by the number of users, requests, or transactions. Load testing is used to measure the performance of the application under normal and peak conditions.
- Stress testing: This is a type of performance testing used to measure the performance of the applications under extreme conditions and beyond its capacity limits. The main aim of stress testing is to determine the system's ability to handle heavy traffic, data processing, and user activity, and identify how it behaves when pushed to its breaking point.
- Volume Testing: This is all about testing the system's ability to handle large amounts of data.
- Scalability Testing: Here, we test the system's ability to handle increased load by adding resources.
- Soak Testing: This is about testing the system's ability to handle normal load over an extended period to identify performance degradation over time.
Load Testing Vs. Stress Testing
These are the key differences between load and stress testing.
The Oracle Performance Testing Process
Determine Performance Metrics
To establish performance metrics, it's essential to comprehend both the application's demands and the users' expectations. For instance, if an Oracle Cloud Application is anticipated to manage a large user base, performance metrics should prioritize factors like response time and throughput.
Design Your Performance Test Plan
Your testing strategy ought to replicate real-life scenarios and workloads. This entails determining the quantity of distinct virtual users, the duration of the test, and the intervals between requests.
The count of unique virtual users should reflect a practical estimate mirroring your anticipated workload. Similarly, the test duration should mirror the actual timeframe during which users will be conducting operations or running reports.
Correlation
Correlation entails capturing and substituting dynamic values within the script, such as access tokens, session state IDs, CSRF tokens, and other dynamic parameters. Neglecting to correlate these values can result in errors and unreliable outcomes.
Record and Replay Scripts
You must capture user actions and translate them into test scripts to replicate real-life scenarios. Performance test scripts can be replayed multiple times to verify the performance of the report.
Test with Realistic Workload
To replicate an authentic workload, adjust the number of virtual users to mimic the anticipated workload realistically. Gradually escalate the workload to pinpoint the application's maximum capacity.
Analyze the Results
After concluding the test, it's essential to scrutinize the results to pinpoint performance bottlenecks, which might manifest as delayed response times, elevated error rates, or overuse of query capacity.
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Opkey's No-Code Performance Test Automation
Opkey is an industry-leading platform that facilitates performance test automation, among many other types of testing and use cases. Opkey facilitates performance testing in a DevOps methodology, enabling quick performance feedback for any development team. Opkey supports conventional protocol-level load testing methods and allows testers to conduct performance tests at the browser level, without the need for extensive technical/programming knowledge.
Opkey provides comprehensive support for native testing of packaged applications, covering various protocols, virtualization technologies, as well as web, mobile, microservices, and APIs.
Opkey seamlessly integrates with the entire technology stack, including legacy systems and the DevOps toolchain, ensuring smooth collaboration and compatibility across the organization's infrastructure and development processes.
Opkey is platform-agnostic and seamlessly integrates with all cloud development tools, providing flexibility and compatibility across various cloud environments and development workflows.
Your team can effortlessly create performance tests and capture results within minutes across different browsers. This feature enables you to quickly assess and analyze the performance of your application, saving valuable time and effort.
