Welcome!

Java IoT Authors: Elizabeth White, Yeshim Deniz, Pat Romanski, Liz McMillan, Zakia Bouachraoui

Related Topics: @DevOpsSummit, Linux Containers, Containers Expo Blog

@DevOpsSummit: Blog Post

Continuous Performance Validation | @DevOpsSummit #DevOps #ContinuousDelivery

Evaluate the continuous performance validation process

If you've been following along with the happenings here at Neotys, you know that we've recently pioneered Continuous Performance Validation (CPV), a process that enables teams to produce faster applications, deliver new features and enhancements in less time and simplify interactions across Dev, QA, Ops and business stakeholders.

Whenever a company presents a new concept to the industry, you might be inclined to only think of it as the next batch of marketing mumbo jumbo designed to sell you software you don't need. While it's wise to remain skeptical of burgeoning initiatives, it's also wise to, at the very least, explore concepts for yourself to determine if they could potentially improve your testing activities and application's performance.

While some of you may have already looked into Continuous Performance Validation, we'd like to take this opportunity to discuss the concept in more detail and explain why it works for organizations using process and practices like agile, DevOps, continuous integration, continuous development, and automated testing.

Hopefully, this article will allow you to sufficiently evaluate the Continuous Performance Validation process and the potential benefits it can provide to both your testing team and organization as a whole.

At Its Core, What Is Continuous Performance Validation?
Let's start by breaking down the phrase: what is performance validation and why should you do it continuously?

Performance validation involves checking the performance at every stage to prove that the performance is at the level you desire (this level being your predetermined SLAs). Validation requires that performance is meeting or exceeding the levels you previously set.

Continuous performance validation requires that teams test, monitor and improve performance at every stage of the application development lifecycle, from development to production, utilizing automated and collaborative tooling.

User expectations of application performance have never been higher. As a result, it is absolutely essential for organizations to validate performance continuously throughout the SDLC. Doing so will allow for the early identification and rectification of coding errors and other performance issues that can become much more expensive and bothersome to resolve later in the cycle.

How to Successfully Conduct Continuous Performance Validation
At the foundation of Continuous Performance Validation lies building blocks, or a set of performance test scenarios that sit alongside more traditional functional unit tests. Starting with components tests at the API level and progressing to system-wide business use cases that mimic how users actually use your app, these testing scenarios can be utilized throughout the development process so you can evaluate performance early and often, all along the way.

Development Stage:

During this stage, optimize individual components to test. Utilize a performance testing tool like NeoLoad to test API, web services and microservices - even if your app doesn't have a GUI yet. NeoLoad will help you integrate with a CI server, enabling the execution of performance unit tests on every build. This will not only allow you to spot performance regressions early, but it will also ensure that service-level agreements are met in each build.

Pre-Production Stage:

Here, also using NeoLoad, conduct system-wide testing with realistic conditions. You can leverage your unit test library to build more complex scenarios that include network virtualization and device/browser simulation. With Neotys' hybrid cloud load generation platform, you also have the ability to add a layer of geographic realism to your tests.

Production Stage:

In production, you'll want to validate performance for live users. With NeoSense, you can proactively monitor service-level agreements 24×7, run synthetic users alongside real users and monitor for the same test cases you used in pre-preproduction.

Throughout the Lifecycle:

With these load testing and performance monitoring tools, you will be able to collaborate throughout the entire software development lifecycle. Collaboration capabilities include:

  • Neotys Team Server for sharing designs and results
  • Reusable test scenario components
  • Exportable reports
  • Shareable dashboards
  • Notifications to 3rd party tools

Continuous Performance Validation is a powerful process for web and mobile applications that need to perform. If you'd like to start delivering faster application and new features in less time, join us for our live webinar on Wednesday, April 27, 2016 at 3:00 p.m. ET: 3 Keys to Continuous Performance Validation: Automate, Collaborate, Reuse

More Stories By Tim Hinds

Tim Hinds is the Product Marketing Manager for NeoLoad at Neotys. He has a background in Agile software development, Scrum, Kanban, Continuous Integration, Continuous Delivery, and Continuous Testing practices.

Previously, Tim was Product Marketing Manager at AccuRev, a company acquired by Micro Focus, where he worked with software configuration management, issue tracking, Agile project management, continuous integration, workflow automation, and distributed version control systems.

IoT & Smart Cities Stories
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
Digital Transformation is much more than a buzzword. The radical shift to digital mechanisms for almost every process is evident across all industries and verticals. This is often especially true in financial services, where the legacy environment is many times unable to keep up with the rapidly shifting demands of the consumer. The constant pressure to provide complete, omnichannel delivery of customer-facing solutions to meet both regulatory and customer demands is putting enormous pressure on...
IoT is rapidly becoming mainstream as more and more investments are made into the platforms and technology. As this movement continues to expand and gain momentum it creates a massive wall of noise that can be difficult to sift through. Unfortunately, this inevitably makes IoT less approachable for people to get started with and can hamper efforts to integrate this key technology into your own portfolio. There are so many connected products already in place today with many hundreds more on the h...
The standardization of container runtimes and images has sparked the creation of an almost overwhelming number of new open source projects that build on and otherwise work with these specifications. Of course, there's Kubernetes, which orchestrates and manages collections of containers. It was one of the first and best-known examples of projects that make containers truly useful for production use. However, more recently, the container ecosystem has truly exploded. A service mesh like Istio addr...
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Charles Araujo is an industry analyst, internationally recognized authority on the Digital Enterprise and author of The Quantum Age of IT: Why Everything You Know About IT is About to Change. As Principal Analyst with Intellyx, he writes, speaks and advises organizations on how to navigate through this time of disruption. He is also the founder of The Institute for Digital Transformation and a sought after keynote speaker. He has been a regular contributor to both InformationWeek and CIO Insight...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
To Really Work for Enterprises, MultiCloud Adoption Requires Far Better and Inclusive Cloud Monitoring and Cost Management … But How? Overwhelmingly, even as enterprises have adopted cloud computing and are expanding to multi-cloud computing, IT leaders remain concerned about how to monitor, manage and control costs across hybrid and multi-cloud deployments. It’s clear that traditional IT monitoring and management approaches, designed after all for on-premises data centers, are falling short in ...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...