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


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 – 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.


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.


Best Practices for API Testing

Best Practices for API Testing


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.

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.


How to run JMeter test in NetStorm

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.


Detect Application/infrastructure anomalies

Detect Application/ infrastructure anomalies

The detection of anomalous activities in the infrastructure or the components of the application stack is very critical. Through anomaly detection, we can focus on the identification of data points and situations that are not complementary to the desired pattern.

Automated anomaly detection is all about identifying unusual patterns in the series of data based on increasing scale and margin. Advances in Machine Learning, Artificial Intelligence, and Deep Learning offer powerful log analytic solutions that enable anomalies to auto-detect. The adoption of anomaly detection makes one’s way of life at work efficient, faster, and more productive.


Site Reliability Engineering

Site Reliability Engineering deals with the operational efficiencies around availability and resiliency of an application or it’s infra. In any enterprise, it is evolved by a team of software engineers responsible for maintaining large-scale application environments and unites development and operations.

SRE deals with best practices like real-time monitoring of applications/services/ Infra and alerting to enhance productivity and development practices to automate and improve the system’s health and availability.

How it differs from DevOps

DevOps is more about streamlining development operations for building a robust product. Whereas, SRE is a practice of creating and maintaining a highly resilient service.

DevOps primarily focuses more on the automation, SREs focus on stability and scalability of a production environment, as well as observability.


How Does Chaos Engineering Help with SLAs?

In today’s corporate environment, chaos engineering is the most incredible practice methodology that can change software engineering and qualitative delivery on a larger scale. It deals with the uncertainty of distributed systems in a comprehensive manner and provides a way to modulate them quickly.

Chaos Engineering defines a strategy to learn, how your systems behave with failures. The objective is to ensure applications/ infrastructure are resilient in production with the early investigation.

Identify the root cause of any unusual behavioral breakdown in the system by injecting the failures.


Application Performance 2.0

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.

Cavisson Performance 2.0 featured by Asia Inc.500