LoadRunner Online Training

What is the need for LoadRunner ,Performance Testing?

The poor web performance resulted in an estimated loss of four billion in terms of revenues. According to research, a user will click away if the website does not load within eight seconds. If there is some website that performs the best in terms of loading, then it is taken more reliable and credible. Big IT giants like Facebook, Amazon Web Services, and Blackberry, all are working on the same principle.

1. A five-minute downtime at Google.com is estimated to cost the search engine 545K dollars approximately.
2. It is estimated that Companies had to bear a loss of $1100 per second due to Amazon Web Service outage.

At the time of software deployment by an organization, it may encounter different scenarios that may result in performance latency in the end. Multiple reasons may cause performance deceleration, and it includes:

1. The number of records may increase in a database than expectation,
2. The number of requests may increase simultaneously within a system
3. When several users try to access the URL at the same time

What is the Architecture of LoadRunner?

The architecture of LoadRunner is a little complex. Still, you can understand when you read it thoroughly. Consider an example where you have given a task to check the performance of 5K users for Amazon.com. It is not necessary that 5000 users have to be analyzed for Home Page only, but they can exist on different pages of the website

The Present & Future of LoadRunner Programming Language

The Present:

• Many companies like Netflix, Pinterest, and Corda are using Kotlin to create powerful Android apps.
• In a short duration of one year, 2016 to 2017, Kotlin became highly popular with amazing programming features.
• In 2017, Google announced Kotlin as an official programming language for android development.
• You can quickly replace Java code with Kotlin as it is 100% interoperable with Java and Android.

The Future:

• Performance Bottleneck fixes
• Cross-platform game development
• Cross-platform mobile app development
• Service-side scripting and microservices
• Machine learning & Data Analysis
• Embedded System Functionality

Benefits

• Significant reduction in scripting time and effort
• Single tool to test a wide range of applications – including mobile, Ajax, Flex, HTML 5, .NET, Java etc.
• Mobile testing – ability to test both native mobile apps and browser based applications
• Load testing for the cloud – ability to simulate loads from multiple geographies to test scalability
• Robust integration with existing development environment
• No need to install it on the server under test. It uses native monitors. For Ex: perfmon for windows or rstatd daemon for Unix
• Uses ANSI C as the default programming language¹ and other languages like Java and VB.
• Excellent monitoring and analysis interface where you can see reports in easy to understand colored charts and graphics.
• Supports most of the protocols².
• Makes correlation³ much easier. We will dig into correlation through a series of posts later.
• Nice GUI generated script through a one click recording, of course you would need to modify the script according to your needs.
• Excellent tutorials, exhaustive documentation and active tool support from HP.

Career path/scope

• The cloud is dramatically changing the way organizations test today. With more applications moving to the cloud whether SaaS, PaaS (Platform as a Service), or IaaS (Infrastructure as a Service) the testing methods of the past need to be re-examined. New testing tools and methods will emerge to provide more visibility for cloud applications and services.
• It’s always a numbers game – a demand to improve performance. Customers always expect good performance.
• The future of performance testing lies in taking a user-centric approach. It’s not about CPU usage or disk IOPs, it’s about what the user experiences and perceives as performance — whether it’s on their mobile or desktop device.
• The future for performance testing and tuning is always going to be eternal vigilance. Even if there are no software changes, an upgrade in hardware can result in sub-optimal performance if the same parameters are used. In rare cases, modern hardware can even be slower than new hardware so it must be periodically rechecked.  I think the most obvious change in the near future that will attract the most attention is going to be related to the speed of storage. Much of the software stack is designed to expect slow storage and steps are taken to manage that as best as possible.
• With ultra-fast storage, some old decisions will be sub-optimal. For example, typically an IO request is dispatched and queued with the requesting process being woken up at some point in the future. This requires multiple switches between different parts of the system. Storage now can be fast enough where the cost of switching exceeds the cost of the IO request itself.
• While this has been expected for quite some time and a lot of the necessary support is already in place, it's still going to take time to adjust to this reality while still being able to cope properly with slower storage.
• It is everyone's responsibility, more than it ever has been in the past. Platforms that enable customers with different technical skills to start with providing significant opportunities for platform vendors. Giving customers more ways to create and express tests in a load testing context is a great opportunity.