DevOps Best Practices To Ensure Successful Testing

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.
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Mastering Application Load Management by Performance Engineering

Mastering Application Load Management by Performance Engineering

Introduction

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.

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Best CI/CD Practices for Better Code Quality

Best CI/CD Practices for Better Code Quality
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.
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Load Testing Tips

Load Testing Tips

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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Building Resilient Applications – Popular Design Principles & Using NetHavoc to Test Efficacy

Introduction

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.

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HTTP/3 – Getting ready for the future with Cavisson NetStorm

HTTP/3 - Getting ready for the future with Cavisson NetStorm

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.

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Common Application Performance Bottlenecks—And How to Avoid Them?

Common Application Performance Bottlenecks—And How to Avoid Them?

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.

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Best Practices for API Testing

Best Practices for API Testing

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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360 Degree Cloud Visibility Using Cavisson

360 Degree Cloud Visibility Using Cavisson
In today’s hyper connected world every organization is using the cloud infra/ computing engine, cloud services in one or the other way for their mission critical application. As cloud infra is becoming an integral component of IT Operations, it is important to ensure its availability with continuous monitoring . Cavisson Cloud Monitoring includes monitoring of cloud based applications as well as the infrastructure ensuring everything is working seamlessly and helps in operational and performance optimization.
Cloud Monitoring accesses the elements of cloud-based services and applications to review the application infrastructure.

Why Cloud Monitoring is Crucial?

Cloud Monitoring is known for better support and control of cloud platforms. By opting Cloud Monitoring always keep an eye on cloud infrastructure, resources, and services to keep a track on the performance of the application and identify the anomalies.

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How to run JMeter test in NetStorm

Analyze-the-Test-Result
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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