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## **Introduction of NetDiagnostics:**
 is a next generation application performance monitoring (APM) tool developed by Cavisson Systems. Built to assist organizations in identifying the “why” behind application or system level issues, NetDiagnostics provides end-to-end observability by combining application, infrastructure, log and user monitoring in a single platform.
This approach not only eliminates the need to have multiple solutions for monitoring different components of your application landscape but provides context based information by combining varied data sources to assist your teams in drastically reducing the mean time to detect (MTTD).
Combined with NetDiagnostics’ advanced automatic root cause analysis or AutoRCA capabilities, teams are equipped to drill down to accurate root cause thereby also reducing the mean time to resolution (MTTR).
## Revolutionizing Performance Testing: Embracing Change in 2024
As we step into 2024, the dynamism of the digital world continues to shape the way applications are developed, deployed, and maintained. This blog explores the key trends, challenges, and transformations that are redefining performance testing in 2024, paving the way for more efficient, accurate, and future-ready testing practices.
A performance test examines an application’s ability, speed, scalability, and responsiveness under a specific amount of load. It is also known as load testing. For performance testing, there are several objectives: computing processing speed, analyzing application throughput, network consumption, data transfer velocity, maximum concurrent transfers, workload efficiency, memory usage, etc. Performance testing is regarded as a subset of performance engineering.
Engineers can deliver code with confidence by performance testing applications. Because of this, developers and QA devote a great deal of time and resources to testing their code. Testing isn’t an isolated activity. It adapts to engineering needs. Testing shifted away from the Center of Excellence with the move from waterfall development to agile delivery. To improve efficiency and increase coverage, test automation was introduced. As the need to democratize testing grew, open-source testing projects flourished.
Testing practices need to change with the changes in modern development and the digital transformation enterprises are experiencing, from legacy systems to cloud-native microservices. Other trends and global changes – such as privacy regulations, cybersecurity threats, the digitization of customer and supply-chain interactions, and increased leadership attention to digital infrastructure – also have an impact on testing methods.
In the past, testing was done only at the GUI level and at the end of the development process. When a developer finished their work, they handed it over to the quality assurance team. Because the engineers were short on time, they decided to test the code at the highest level possible: the GUI.
Testing at a ground level, such as the API level, is required in the Agile era. Even developers can do it on their own. API testing can even be done before development is finished, thanks to “API contracts.”  This means that developers can use pre-written tests to validate their code.
Black Friday is approaching quickly. Expect high volumes of digital shopping and high stakes for delivering exceptional shopping experiences in the coming year. This checklist provides an overview of the most important processes that your team should test in order to prepare your application. You can avoid outages, angry tweets, and thousands of dollars in potential revenue by using this checklist.
## **Introduction:-**
In today’s fast-paced digital world, where mobile apps and websites play a crucial role in connecting businesses with their customers, the importance of thorough testing cannot be overstated. As consumers’ expectations for seamless and high-quality user experiences continue to rise, developers and quality assurance teams are faced with the daunting task of ensuring their applications work flawlessly on a wide array of devices and in real-world scenarios.
A crucial component of the mobile app testing process is performance testing. You will be able to monitor and anticipate performance changes for peaks in connection quality (3G, 4G, 5G, LTE), the changing location of a user, higher traffic loads, and other circumstances.
## Introduction
DevOps is best defined as a business effort to improve communication and collaboration between development and operations teams, in order to increase software deployment quality and speed. There are profound implications for teams and the organizations they work for with this new way of working.
From 2020 to 2027, the global DevOps market is expected to grow at a healthy CAGR of 22.9%. The reason this software development and delivery model has such a bright future is that it has already achieved impressive results for CTOs worldwide. Using DevOps, development and operations teams will no longer be siloed in order to enhance their collaboration. DevOps provides many business and technological advantages. For example, it can shorten development cycles, increase deployment speed, reduce time to market, and more. However, implementing DevOps requires an organizational-wide cultural shift. For a smooth transition to DevOps over time, here are some tips and principles you can follow.
The true value of DevOps and testing Professionals lies in identifying issues in production & pre-production to reduce IT downtime, increase business revenue, and uncover insights that lead to a greater customer experience.
Because in the end, that is how your customers & users remember you, by their online experience. Derive everyday value from your application’s monitoring via Cavisson’s unified APM solution.
It is impossible to know how your system will perform when faced with expected or unexpected demands without comprehensive performance testing, which includes both load and stress testing. The best way to understand how components of a system behave under a given situation is to ensure an exhaustive test coverage covering all aspects of application performance under varying loads and scenarios is designed to test your applications thoroughly.
To establish the benchmark behavior of your application ecosystem, you must test the performance of your application and its underlying dependencies and infrastructure. In performance testing, you aim to meet or exceed a number of industry-defined benchmarks.
Continuous integration and continuous delivery, also referred to as CI/CD, are a tradition, set of basic concepts, and set of practices that application development teams use to deliver code changes more frequently and reliably.
Continuous integration is a coding philosophy and set of techniques that encourage development teams to commit tiny code changes to a version control repository regularly. Because most current applications include writing code on a range of platforms and tools, teams want a standardized method for integrating and validating changes. Continuous integration allows developers to build, package, and test their applications in an automated manner. Developers are more likely to commit code changes more frequently when they have a consistent integration procedure, which leads to improved cooperation and code quality.
Continuous delivery is a software development approach that automates the infrastructure provisioning and application deployment process by combining it with continuous integration.
After code has been tested and built as part of the continuous integration process, continuous delivery takes over in the last stages to ensure it can be deployed to any environment at any time. Everything from infrastructure provisioning to application deployment to the testing or production environment can be covered by continuous delivery. The program is constructed in such a way that it may be deployed to production at any moment with continuous delivery. Then you may either manually trigger the deployments or switch to continuous deployment, where the deployments are also automated.  
A load test is a technique used to measure the response of a system under various load conditions. It assists in identifying the maximum capacity of an application and also any bottlenecks and finds out which element is degrading.
Load testing is a crucial component of performance testing that is gaining immense importance in today’s digital-driven world. Performance testing gauges whether a web application can handle high volumes and patterns of traffic before it goes live. It is a practice in which the performance of the system is tested under peak traffic conditions for web applications and APIs. By simulating the concurrent access of multiple users to an application, testers create a model of the expected usage of the application.
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For microservices, it’s crucial to conduct resiliency testing to ensure that the system can recover from failures and keep operating as expected. Gartner reports that on average, IT downtime costs $5,600 per minute, with the cost of an hour’s downtime ranging from $140,000 to $540,000 depending on the business. A survey shows that 98% of organizations estimate the cost of a single hour of downtime to be over $100,000, while 81% say it costs over $300,000. Any disruption or downtime in these systems can lead to significant financial losses, damage to the organization’s reputation, and loss of customer trust. This is where Cavisson, a leading enabler for Fortune 100 organizations in their quest towards digital excellence, comes in. One of the key ways in which we help businesses reduce their IT downtime costs is via our chaos engineering tool, NetHavoc. This blog will explore some of the most popular design principles for ensuring resilient microservices based applications and how you can leverage NetHavoc to test their effectiveness.
**What is resiliency testing?**
System downtime is no longer an option. If a user is unable to access an application once, they are unlikely to use it again. Resilience is the system’s ability to gracefully handle and recover from such failures while still providing an acceptable level of service to the business. In a nutshell, it assesses the system’s resilience, introduces a flaw, and ensures that the system fully recovers.
**What are microservices?**
Software architecture style that involves breaking down a large application into a set of smaller, independent services that can be developed, deployed, and maintained separately. Each service typically has a well-defined interface and communicates with other services via lightweight protocols such as HTTP or messaging systems like RabbitMQ or Kafka. Microservices are designed to be highly modular, scalable, and resilient, and are often used in large, complex systems that require a high degree of agility and flexibility. By breaking down an application into smaller, more manageable components, microservices allow developers to make changes and updates to specific parts of the application without affecting the entire system, leading to faster development cycles, better fault tolerance, and easier maintenance.
HTTP/3 is the upcoming version of the Hypertext Transfer Protocol (HTTP), which is the underlying protocol used for communication on the World Wide Web. Let us look at some of the most significant changes being made in HTTP/3 and how it proves to be beneficial for both organizations and end-users alike:
## **QUIC –  Secure and reliable connection in a single handshake**
QUIC enables secure and reliable connections in a single handshake. This is achieved through a feature called “0-RTT” (Zero Round Trip Time), which allows the client to send data to the server in the first packet itself, without waiting for a response from the server. This reduces the latency and speeds up the connection establishment process. QUIC is that it runs over UDP, which is a connectionless protocol that is less prone to congestion and provides better performance in high-latency networks. QUIC also includes built-in congestion control mechanisms that are designed to prevent network congestion and ensure fair sharing of network resources among different connections.
In computing, the term “bottleneck” refers to an overloaded network, a device whose one component is unable to keep pace with the rest of the system, thus slowing overall performance, or an application issue that may be causing your customers/end-users to wait indefinitely while performing business critical operations.
Fixing bottleneck issues usually results in returning the system to a stable level of performance; however, to fix bottleneck issues, it is necessary to first identify where the issue lies which decides the all-important metric(s) – mean time to detect (MTTD) & mean time to resolve (MTTR).
Poor application performance can be caused by a variety of factors. Even just a few seconds of application downtime can have an adverse effect on revenues, reputation, and customer satisfaction. Understanding and overcoming barriers to optimal application performance is crucial to delivering the best experience to each user.
# **Introduction​**
APIs are the “middle man” between the layers and systems in an application or software.
API (application programming interface) testing occurs at the message layer without GUI. During integration testing, it is determined whether the APIs meet the testers’ expectations regarding functionality, reliability, performance, and security.
When faults occur, they are costly, both in terms of the direct costs of resolving the defects and in terms of the indirect costs of damaged relationships, lost business, and missed development time. Inadequate software testing raises the risk of developer issues, stakeholder displeasure, and poor customer experiences.
**API tests are the quickest ways to check the functionality, reliability, performance, and security of the programming interfaces.**
An API is a software middleman that allows two programs to communicate with each other or the “middleman” of the layers and systems of an application or software. An application programming interface (API) is the interface that allows various software to communicate with one another.
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##### You can execute JMeter tests in addition to other NetStom scripts. A scenario contains a JMeter script executed in NetStorm for performance testing. The results from the JMeter script are collected and displayed in NetStorm and further available for investigation in Analysis.
##### The best part is that all of this is done in a very easy manner without any limitations & restrictions. This blog post shows how to run JMeter scripts from NetStorm.
### Key Features of NS
A user can run multiple scripts at a single time.
A user can pass additional parameters to JMeter from NetStorm
We can use distributed mode to run tests from multiple locations.
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### Enabling Revenue Growth and Profitability
*“We believe that our InternetTrue and KeyData technologies are the future of performance engineering. And, that’s the reason why forward-thinking enterprises have chosen Cavisson as their enterprise strategy for performance engineering!”  says Anil Kumar, Founder, and CTO of Cavisson Systems.*
* SM
##### Taking Performance Testing to the Next Level!
**Performance testing** is an essential activity while delivering critical software applications. Be it an e-commerce web application or a mobile app, identifying and determining the behavior of the traffic that is going to hit is the major concern. In view of past patterns and future outcomes, we need to understand, evaluate, and break down the level of activity that we need to perform to serve them without any deficiency. In addition, we should prepare to handle the situation gracefully if it reaches the peak load.
In other words, Do you know – A single generator can free you up of operational nightmares (costs, other operational overheads) of managing multiple generators in your performance testing infrastructure.
Today, hundreds of thousands of users hit a website on a daily basis. During peak sales it crosses million/s. Expect your web application to slow down a bit if not becoming unresponsive.
Performance testing is a complex activity where dozens of factors contribute to its success. The effective use of all these factors is necessary to get repeatable and consistent performance test results.
Recreating a production-like scenario is an essential part of the whole testing activity because minutest of the differences can completely invalidate the test results.
I am sure you are familiar with these messages:
*“An unknown error occurred, please try again”*
*“Page not available”*
*“HTTP Error 503 – Service unavailable”*
*“Null pointer exception”*
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#### CHALLENGE
One of the top five banks in the US, a 150-year old organization with assets over $1.7 trillion, was using a legacy tool for their load testing requirements. Among the applications being covered by the said tool was the bank’s Fraud Management System, which is responsible for identifying fraudulent activities among millions of transactions (occurring daily at a rate of thousands per second).
It was of utmost importance that the lab environment handled real-world load scenarios in order to replicate issues occurring in the production environment. The legacy tool was unable to generate the quality traffic via synthetic load generation, which lead to an inability to reproduce or highlight issues with the Fraud Management System, as the application’s production-like code path were not getting exercised.
#### PERFORMANCE TESTING PLATFORM TO IDENTIFY ISSUES BY REPLICATING REAL-WORLD SCENARIOS
Serving over 70 million customers globally, achieves unparalleled insights across their lab and production environment by using NetStorm to replicate real world traffic and identify anomalies with critical applications.