Systems | Development | Analytics | API | Testing

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Elevating Developer Productivity with Speedscale Ephemeral Environments

Speedscale leveraged Ephemeral / Preview Environments to help balance developer productivity and high-quality code by dynamically spinning mini-staging environments up and down on command for experimentation and deployment safety. The primary goals of the project were to reduce cloud infrastructure operating costs and increase deployment frequency. Benefits included speed, resource efficiency, and improved collaboration.

Hot Sauce Releases: Boost Mobile App Reliability with Network Throttling and Advanced Debugging

Presenters: Ashwini Sathe - Sr. Group Product Marketing Manager Parth Patel - Solution Engineer About the Webinar: Ensuring that your mobile app delivers a flawless performance across all devices is critical for success. In this webinar, we introduce the latest enhancement in the Sauce Labs Real Device Cloud: Network Throttling for iOS and Android. This feature is a game-changer in our centralized debugging experience, empowering developers to deliver a delightful user experience even under varying network conditions.

What Is Risk Exposure in Software Development?

When a routine hardware update turns into a ticking time bomb, understanding the hidden risks becomes crucial. @Marcus Merrell breaks down why rigorous testing and thorough risk documentation are non-negotiable in software development. Tune in to the latest episode of Test Case Scenario for strategies that could save your project from disaster.

Using Service Mesh Within Your Kubernetes Environment

Container technologies are always evolving — and we're not talking Tupperware here. Over the past years, service mesh has emerged as a crucial component for managing complex, distributed systems. As organizations increasingly adopt Kubernetes for orchestrating their containerized applications, understanding how to effectively implement and utilize a service mesh within this environment becomes paramount.

Dashboards that WOW! Enhancing Business Intelligence through Design

Revolutionize the way your organization visualizes and delivers insight to your customers. This session guides you through the art and science of creating insightful, strategically aligned dashboards that facilitate action and drive significant ROI. See how to transform your data using real-life examples.

The Impact of Data Quality on M&A Success

Technological advancements are driving mergers and acquisitions (M&As) at an unprecedented rate. Companies aim to extend their market reach, acquire new technologies, and achieve cost synergies through these deals. For instance, in 2023, nearly 40,000 mergers and acquisition (M&A) deals were completed worldwide. For a successful merger, companies should make enterprise data management a core part of the due diligence phase.

Data Actionability: Speed Up Analytics with Unravel's New Data Engineering AI Agent

Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and optimizing data workloads for performance and efficiency. With this in mind, Unravel introduces the new Data Engineering AI Agent in this recording. Learn how this new AI agent enables teams to go beyond observing data pipelines and code to taking immediate action with purpose-built AI and automation.

An introduction to SAP S/4HANA testing

In the fast-paced world of digital transformation, SAP’s S/4HANA stands out as a powerful suite for enterprise resource planning (ERP). As organizations migrate to S/4HANA, ensuring the quality and performance of this platform through rigorous testing becomes crucial. Test automation is a key enabler in this process, addressing many challenges that come with manual testing. This blog post explores five key challenges in S/4HANA testing and solutions to mitigate them.

The AI Gateway Pattern: Adopt AI and Multi-LLM Strategies in a Secure and Governable Way

The AI Gateway Pattern enables organizations to adopt and securely govern AI technologies like large language models (LLMs) at scale. Acting as a centralized control plane, it streamlines data flow into AI models, ensures proper data handling and compliance, and simplifies the management of multiple LLMs. This architectural pattern empowers organizations to leverage AI’s strengths while mitigating risks, maintaining performance, and adapting to evolving technologies.