Prevent Black Friday Website Downtime with Performance Testing

Black Friday is one of the busiest shopping days of the year, offering retailers a golden opportunity to boost sales. However, with millions of online shoppers eagerly hunting for the best deals, website downtime or slow loading speeds can result in a disastrous loss of revenue and customer trust. What is the key to ensuring your website can handle the Black Friday rush? Performance testing. In 2023, Black Friday online sales reached an astounding $70.9 billion globally. With even higher sales expected this year, preparing your website to handle peak traffic is essential. A well-executed performance testing strategy is your strongest defense against downtime and sluggish performance.
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How Real User Monitoring Works: A Deep Dive into Cavisson’s NetVision

As we continue in our Digital Experience Monitoring blog Series, understanding how users interact with your website or application is crucial for delivering a seamless experience in today’s digital age. Real User Monitoring (RUM) provides businesses with a powerful tool to capture real-time data about user interactions, helping identify and resolve performance issues. Cavisson Systems’ NetVision goes a step further by offering advanced RUM features that outshine competitors, providing granular insights that lead to actionable improvements.
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Best Practices of Real User Monitoring (RUM)

In today’s fast-paced digital world, where user expectations are higher than ever, delivering a flawless digital experience is no longer just a goal—it’s a necessity. Even the smallest delay or error can significantly impact user satisfaction, ultimately affecting your business’s bottom line. This is where Real User Monitoring (RUM) comes into play. RUM has become an indispensable tool for ensuring that your digital platforms consistently meet and exceed the demands of modern users. In this blog series on Digital Experience Monitoring, we’ll explore key components like Real User Monitoring (RUM), Synthetic Monitoring, Customer Feedback, and Online Customer Experience. To kick things off, we’ll dive into the essentials of RUM, exploring its origins, significance, and best practices. With Cavisson Systems’ NetVision at the forefront of Real User Monitoring, we’ll show you how this powerful tool can provide deep insights into user behavior, helping you fine-tune your digital performance and enhance overall user satisfaction.
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Integrating Service Virtualization with DevOps

Service virtualization is a critical enabler for modern DevOps practices. It allows teams to simulate and control dependencies that are otherwise difficult to test against, such as third-party APIs, cloud services, and legacy systems. By using service virtualization effectively, organizations can lower the total cost of testing, speed up development cycles, and ensure higher-quality software releases. In this blog, we will explore a strategic approach to adopting a service virtualization tool and scaling it into a comprehensive DevOps deployment, step by step.
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Pioneering the Future of Service Virtualization with NetOcean

In today’s fast-paced digital landscape, time-to-market and quality are critical, and efficient backend application simulation and service virtualization solutions are indispensable. Enter Cavisson NetOcean—a powerful backend application simulator that eliminates dependencies on backend applications and third-party systems. This innovative solution empowers organizations to achieve faster functional and performance testing, ensuring accelerated time-to-market. It’s no wonder that leading Fortune 500 brands trust Cavisson NetOcean to streamline their testing processes and reduce the overall cost of ownership for application testing.

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The Essential Guide to Service Virtualization

Following our discussion of the definitions, principles, and significance of service virtualization in the previous blog post in this series. We will now talk about how service virtualization works, its essential role in modern software development, and the key tools that enable it.

How Service Virtualization Works

Service virtualization involves creating a simulated version of a service that mimics its behavior for testing and development purposes. This simulation allows teams to test their applications without needing access to the actual services, which may be incomplete, unavailable, or costly to use in a development environment.
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Introduction to Service Virtualization

Overview

The process of creating replicas of systems on which new applications rely is known as service virtualization. This assesses how well these systems and the software application can work together. Software applications that depend on cloud services, service-oriented architectures (SOA), or those that require communication with external data and application program interfaces (APIs) will find it especially useful for integration. To provide high-quality software applications, the Software Development Life Cycle requires operations, testing, and development teams to work seamlessly together. That, too, must be error-free, within budget, and on schedule.
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Redefining Chaos Engineering with NetHavoc

Unleashing the Power of Chaos Engineering with NetHavoc: Building Reliability in an Unpredictable World

In our previous discussions on Chaos Engineering, we’ve underscored its crucial role for Site Reliability Engineers (SREs) and DevOps practitioners. By introducing controlled system disruptions, Chaos Engineering allows teams to proactively identify weaknesses, enhance system reliability, and build robust resilience. This practice not only uncovers vulnerabilities but also refines incident response, optimizes automation workflows, and fosters better collaboration across departments.
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Mastering Chaos Engineering: A Guide for SRE & DevOps

Introduction:

“In our chaos engineering blog series, we’ve delved into the origins, principles, user personas, benefits, best practices, and challenges of this discipline. Now, let’s explore what Chaos Engineering truly entails, its crucial role for every Site Reliability Engineer (SRE) and DevOps practitioner, and practical steps to effectively implement it.”

In the ever-evolving landscape of software development and operations, the need for reliability and resilience has become paramount. As systems grow in complexity and scale, the probability of failures increases, leading to potential downtime, user dissatisfaction, and revenue loss. This is where Chaos Engineering emerges as a crucial practice, enabling teams to proactively identify weaknesses in their systems and build more resilient architectures. 

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Chaos Engineering: Benefits, Best Practices, and Challenges

Enhancing Resilience in Complex System

In an era where digital systems power much of our daily lives, ensuring their reliability and resilience is paramount. Chaos Engineering emerges as a methodology to proactively identify weaknesses 

in complex systems before they become critical failures. It involves deliberately injecting faults and disturbances into a system to observe how it

 responds, thereby uncovering vulnerabilities and enhancing overall resilience.

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