Name: Seven ways to implement standardized performance engineering
Start: 2025-03-25T15:00:00Z
End: 2025-03-25T15:00:45.000Z
Location: BrightTALK

Tricentis is the global leader in continuous testing and automation, widely credited for rein- venting software testing for DevOps and agile environments. The Tricentis AI-based, automation platform enables enterprises to accelerate their digital transformation by dramatically increasing soft- ware release speed, reducing costs, and improving software quality. Tricentis has been widely recognized as the leader by all major industry analysts, including being named a leader in Gartner’s Magic Quadrant five years in a row. Tricentis has more than 1,800 customers, including the largest brands in the world, such as Accenture, Coca-Cola, Nationwide Insurance, Allianz, Telstra, Dolby, RBS, and Zappos. To learn more, visit https://www.tricentis.com or follow us on LinkedIn, Twitter, and Facebook.

In this exclusive webinar, we’ll show you three just-announced, industry-first agentic AI capabilities: Remote Model Context Protocol (MCP) servers, Tricentis Agentic Test Automation, and our AI workflow capabilities. Join our CEO and VP of AI & ML as they share the details of this significant leap forward for enterprise quality engineering – which is grounded in Tricentis’ proven expertise in highly scalable, resilient, and codeless test automation.

We’ll demonstrate how these capabilities work together to enable you to orchestrate software testing at scale across Tricentis and other tools, through a growing number of AI agents. You will see:

•Remote MCP servers: An open, modular framework that ensures organizations can tailor their AI strategy to their needs, with their own models and agents, Tricentis’ portfolio of expert agents, or both

•Tricentis Agentic Test Automation: The first of our autonomous, fully trained agents that perform high-value tasks across the software development lifecycle, from test case creation and execution to performance analysis and test management

•AI workflows: Our intuitive, persona-aware workflows that enable users of all skill levels to orchestrate work across AI agents and tools

•How these elements come together to empower you to confidently tap into AI’s potential and unlock a new level of quality at speed

A New Era of Agentic Testing: Introducing Remote MCP, Agentic Test Automation, and AI Workflow Capabilities

Maintaining quality across a dynamic Oracle environment, whether on E-Business Suite or Oracle Cloud Applications, requires more than just increased automation. It demands a smarter approach that aligns test coverage with business risk and transformation goals.

In this webinar, Forrester will present key findings from a newly commissioned study exploring how organizations leveraging Tricentis for Oracle Applications accelerated testing cycles, reduced costs, and ensured resilient operations without increasing complexity.

You’ll learn:

•Why traditional Oracle testing approaches fall short in today’s release-intensive landscape and what leading organizations are doing differently

•How companies using Tricentis qTest and Tosca cut test creation time and reduced testing resource costs by 33%, achieving up to 40% overall testing cost savings

•What the current market landscape reveals about the value of AI-powered, risk-based test automation for Oracle migrations, updates, and business process assurance

Accelerating Oracle Applications Innovation: The ROI of Smarter Testing

As release cycles speed up and architectures grow more complex, traditional performance testing often comes too late to prevent risk. Join this session to learn how NeoLoad enables teams to shift performance testing left, executing earlier, more often, and across teams. With the addition of the Model Context Protocol (MCP), NeoLoad now makes test reuse and automated analysis even easier across modern delivery pipelines.

In this session, you’ll learn how to:

•Catch performance issues early, when they’re faster to find and cheaper to fix
•Create tests at earliest stages of development, regardless of service or component availability
•Seamlessly embed performance in automated pipelines
•Harness NeoLoad’s latest AI capabilities with Augmented Analysis and the NeoLoad MCP (model context protocol)

Watch this webinar to learn how NeoLoad makes shift-left performance testing fast, scalable, and accessible.

Engineering the Future of Shift-left Performance Testing with Tricentis NeoLoad

In this webinar, we detail the transformative power of Agentic Test Automation, a newly released agentic AI solution specifically trained for the Tosca environment. With Agentic Test Automation, QA teams can create test cases autonomously using natural language prompts, significantly reducing manual work and accelerating software delivery times. Join us to see how this cutting-edge AI technology enables QA teams to focus on higher-value tasks, while its seamless integration with Tosca Commander and Tosca Cloud Commander creates an efficient and unified testing experience.

Agentic Test Automation ensures QA teams can meet the growing demands of this new era as test cases grow in both volume and complexity. Register for this webinar to learn how Tosca Agentic Test Automation:

•Integrates with Tosca as a ready-to-use AI solution
•Leverages agentic AI and vision AI to streamline test creation
•Results in unprecedented productivity gains and cost savings for QA teams

Inside Tosca’s Agentic Test Automation Capabilities

In the rapidly evolving Oracle landscape, staying ahead requires agility and foresight. Tricentis for Oracle harnesses the power of AI, enabling you to build automated tests based on the UI prototypes outlined in the Oracle Upgrade Readiness documentation, even before the official release of the UI. By seamlessly integrating machine learning capabilities, Vision AI transcends traditional automation frameworks, enabling you to shift testing left and keep up with application changes with ease.

In this webinar you’ll learn:

How to automate tests based on prototypes to extend testing timelines by as much as four weeks, so you can leverage the latest Oracle upgrades from day one

How Vision AI’s self-healing capabilities enable test suites to adapt seamlessly to evolving Oracle environments

How to detect and mitigate object changes post-update or upgrade, alleviating the burden of test case maintenance

Future-proof your automation: Vision AI for seamless Oracle upgrades

The stakes are higher than ever for your SAP system’s performance – with numerous high-value updates continuously launching and your users expecting a consistently seamless experience, it’s never been more crucial to ensure your SAP applications reliably perform under heavy user loads.

Join us for an in-depth look at how Tricentis NeoLoad enables seamless SAP performance and supports complex S/4HANA migration projects, ensuring your applications will scale to meet the needs of your growing digital business.

Standardize and Scale SAP Performance Testing with Tricentis Neoload

In the era of digital transformation, data integrity has become more crucial and challenging than ever before for state and local governments. Manual data testing is no longer sufficient in today’s dynamic and intricate digital environments. Traditional end-to-end tests are known for their difficulty in creation, slowness in execution, and susceptibility to breaking easily. However, modern data integrity solutions address these challenges by leveraging automated end-to-end data testing. These solutions enable data validation and reconciliation across all layers of your data ecosystem.

This webinar was sponsored with Government Technology.

You will learn how to:

Enable end-to-end data integrity testing across every layer of your data ecosystem

Discover how to detect data errors early in the process, preventing them from causing significant issues down the line

Streamline data integrity testing across teams, tools, and projects, optimizing efficiency and collaboration

Government Technology: Drive better outcomes through data you can trust

Join us for a first look at Tricentis qTest Copilot to see how it can help you scale test creation productivity and increase your test coverage. Powered by advanced LLMs and generative AI, qTest Copilot helps teams jump start test creation by utilizing new or existing requirements to draft complex test cases automatically. Designed specifically for your qTest environment, this add-on tool frees up time and resources for fuller test coverage with higher quality releases.

Watch the webinar to see how qTest Copilot can help you:

Streamline test case creation: Autogenerate test cases and test steps based on requirements including expected results for each step.

Increase test coverage: Leverage generative AI to suggest additional testing perspectives and avoid testing blind spots.

Customize AI to your specific needs: Modify, delete, regenerate, simplify, elaborate, add new steps, and more with qTest Copilot’s controls. Enable AI for specific users and projects, and choose which AI features to leverage.

Introducing Tricentis qTest Copilot

To test, or not to test: That is the question.

Wait – we may have misquoted Shakespeare there! But deciding what to test during rapid, iterative release cycles is a major challenge for today’s software delivery teams.

Watch this webinar to learn how Tricentis SeaLights, our quality intelligence solution, can make that determination much easier. By providing your teams with visibility into what tests are most critical based on actual changes to the code, SeaLights can help you test both faster and more effectively. You will see how SeaLights can:

Provide you with a granular view of test coverage at the user story level, letting your teams know exactly what’s been tested before each push to production

Pinpoint untested code and identify tests you can run to cover these changes, as well as where you have gaps

Help your team be confident that testing is truly done and that your software is release-ready

To test or not to test? Answer these and other quality questions with Tricentis SeaLights

If you have mainframes, green screen apps, or other terminal applications in your enterprise IT landscape, it’s critical to know how to performance test them to understand how much load they can tolerate. Most large enterprise IT environments still include terminal applications – and many web apps rely on integrations with them. But performance testing them is a challenge: The tooling available is limited, meaning teams must either manage two separate performance testing workstreams or face gaps in coverage.

In this webinar, we’ll share why it’s critical to consider your mainframe testing needs as part of your overall performance testing strategy and show you a unified approach for performance testing mainframes alongside all the other applications you have under test with Tricentis NeoLoad. Watch this webinar to learn:

The critical role terminal applications continue to play in many modern enterprise IT environments

How an integrated strategy that includes both legacy and modern applications can help you improve test coverage and save time

How to NeoLoad can help you achieve this seamlessly from a single interface to improve performance, reliability, and coverage across your entire IT landscape

What is terminal emulation and why is it important for performance testing?

In the rapidly evolving landscape of AI, maintaining data integrity is critical. How much your organization benefits from its predictions is entirely dependent on the quality and accuracy of the data you’re feeding into it. That’s why prioritizing robust data integrity is non-negotiable for any organization investing in AI initiatives. Join us to hear about the data integrity practices that can help you unlock the full potential of AI while minimizing risks and ensuring responsible use.

In this webinar you’ll learn:

Why data integrity is crucial for AI

How data integrity directly influences the success of AI initiatives

The significance of high-quality and accurate data for training AI models

How data integrity practices can help in minimizing biases and errors in AI outcomes

Best practices for maintaining data integrity throughout the AI project lifecycle

Why data integrity is critical to the success of your AI initiatives

If you’re like the majority of folks in 2023, you’ve heard all the buzz about generative AI. But what does it mean for the future of quality engineering?

Its most common form today is in the Large Language Models (LLMs) family. This hugely complex algorithm containing hundreds of billions of parameters can digest the information it consumes and return a granular, structured product that might’ve otherwise taken hours or even days to create manually. Developers are already taking advantage of AI tools such as Copilot to work more efficiently – and there’s no reason QA can’t do the same!

Watch this webinar to learn:

How understanding generative AI can give you – and your testing practice – a competitive edge

Generative AI’s potential to streamline test management and significantly increase productivity

Our predictions for how this rapidly evolving technology will change the future of testing

Generative AI in test management: What the evolution of AI means for your Agile testing practice

SAP acts as the ‘beating heart’ that powers the critical operations and interconnected systems that make enterprises grow and prosper. It’s also the foundation for innovation as companies seek to streamline business processes and implement new digital workflows. Recent research from IDC shows that a robust quality strategy – and the right testing solutions – can help fast-track this innovation.

Watch this webinar to learn how the right testing strategy and tools are helping SAP and Tricentis customers deliver innovation at speed. You will learn:

Insights from IDC’s in-depth interviews with IT decision-makers about how they are using SAP application testing solutions by Tricentis

How advanced organizations are accelerating their SAP modernization journeys, and what challenges they faced on the path to transformation

How respondents are using Tricentis solutions to overcome modernization obstacles and realize an average 576% three-year ROI

The business value of SAP testing: Insights from IDC research

According to Paul DiGrazia, VP of QE at Wolters Kluwer, “Quality engineering is all about controlling the chaos across a huge software ecosystem with dozens of different apps, teams, and tools.”

In this webinar, Paul will share how he created a Quality Engineering Center of Excellence to extend quality engineering best practices across 50+ teams at a rapidly growing global organization, resulting in significant quality improvements, as well as time and cost savings.

Watch this webinar to hear Paul’s insights into:

Building a quality engineering practice that is a strategic enabler of business success

Creating a common definition of quality to boost operational efficiency and reduce costs

Uniting teams around a common goal to inspire excellence and innovation

How Wolters Kluwer Built a Testing Center of Excellence from the Ground Up

What is the role of a testing center of excellence within an Agile or distributed delivery model? While the role of a TCoE has always been to standardize testing methodologies, best practices, toolsets, modernizing your TCoE to serve distributed teams can improve quality and efficiency organization-wide, while reducing costs and friction between teams. At a time when testing technology is evolving faster than ever, the TCoE plays a critical role in helping distributed teams overcome technical challenges and realize benefits of emerging technologies.

In this webinar, we’ll share how some of our largest customers are modernizing their TCoEs to empower distributed teams to deliver higher quality software, while ensuring alignment to organization-wide standards and goals.

In this webinar you’ll learn:

Strategies for building or modernizing your TCoE, from standardization and accountability to transparency and flexibility

The foundational technologies that drive success, including a centralized test management solution that can can serve as a single source of truth across teams and tools

How to make your case for building a modern TCoE that extends best-in-class testing principles and tooling across your business

Building a Modern Testing Center of Excellence

How can a unified view of metrics from both development and production revolutionize your approach to performance optimization? By integrating performance testing and performance monitoring into your assessment, you gain a comprehensive perspective across your entire development lifecycle, enabling you to identify and resolve issues faster, enhance reliability, and drive superior performance.

Achieve a Holistic View of Performance, from Dev Through Production

Apple pie and ice cream. Coffee and pastries. Socks and shoes. Tricentis and SAP. Some things are just better together. As one of the fastest-growing Solution Extensions partners and the go-to testing portfolio for SAP customers, Tricentis has been innovating alongside SAP to help our mutual customers keep transformation on track.

In this webinar, we’ll share how to align quality engineering to SAP Activate, which will help customers fast-track their journey to SAP S/4HANA Cloud and successfully deploy changes to continuously evolving SAP systems.

Join to hear experts from SAP and Tricentis:

Give an overview of SAP Activate, SAP’s methodology to deploy, adopt, and extend new capabilities across your organization
Share strategies for aligning quality to each phase of SAP Activate, including the best time to outline scope, address gaps, and create a test plan to ultimately reduce project risk
Explain how placing an early emphasis on quality during migration projects can both minimize delays and ensure that each wave of changes achieves the desired result

SAP + Tricentis: Aligning a quality-first mindset to SAP Activate

The modern application environment has become increasingly complex, with microservices-based architectures, multi-cloud deployments, and extensive integrations that make it difficult to gauge and understand true application performance. A typical enterprise has only a handful of experts that can reliably measure how full systems perform, and with enterprises shifting to shorter release cycles in DevOps, these resources can quickly become constrained. But they don’t have to be.

This webinar will share key tactics that can help you develop a performance testing strategy that enables teams to gain the predictability, validation, and assurance that your users demand – at the volume and velocity your business requires.

Register now to hear our experts share seven ways to implement standardized performance engineering so you will know:  
• How to make application performance an organization-wide priority, driven by leadership
• How to shift from a centralized approach and limited resources to a scalable, distributed approach
• How to scale performance engineering for modern development initiatives while still supporting legacy applications

Seven ways to implement standardized performance engineering

DevOps

Multi Cloud

engineering

Enterprise Applications

Enterprise Architecture

Enterprise IT

Cloud

Enterprise Cloud

Application Performance

Application Performance Management

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Seven ways to implement standardized performance engineering

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