How to win at GenAI: Advice from Fivetran & Databricks CEOs
Founders of the world’s leading data companies share their insights on the latest trends in their industry and the keys to turning generative AI into business impact.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Why You Need GPU Provisioning for GenAI
GPU as a Service (GPUaaS) serves as a cost-effective solution for organizations who need more GPUs for their ML and gen AI operations. By optimizing the use of existing resources, GPUaaS allows organizations to build and deploy their applications, without waiting for new hardware. In this blog post, we explain how GPUaaS as a service works, how it can close the GPU shortage gap, when to use GPUaaS and how it fits with gen AI.
What is Test Case Management? A Complete Guide
Testing is not just writing test scripts and executing them. While not usually considered as an official step in the software testing life cycle, test case management is a crucial activity whose presence can be found in almost any stage of the testing process. The simple act of choosing which test case to execute is already test case management. Done right, test case management can make a real difference.
5 Automation Trends to Watch in 2024
The latest automation trends are paving the way for what Gartner defines as "hyperautomation"—the philosophy that everything that can and should be automated will eventually be automated. However, many businesses seeking to harness the latest automation technology don’t know where to start. This blog highlights five timely trends in automation that should be on your digital transformation roadmap in 2024.
A Stitch in Time: How Jet Analytics Boosts Microsoft Fabric Time-to-Value
Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Microsoft Fabric offers a unified platform for data engineering, science, and analytics, integrating data from Power BI, Azure Synapse, and Azure Data Factory, and using open storage for accessibility and portability.
Watch now: Generative AI automatically heals tests in Rainforest
We consistently hear from engineering leaders that automated test maintenance is a painful, mindless exercise that takes too much time away shipping code — the main goal of any startup software team. Our vision is to deliver end-to-end test automation that requires no maintenance from your team. With that in mind, we’ve designed Rainforest as an intuitive, no-code platform that anyone can quickly use with no training. This has been an important — but insufficient! — step.
Managing the Lifecycle of Gateways in Kubernetes Using Gateway API
Managing your Gateways on Kubernetes has historically been a very manual process, usually involving the use of Helm for operations like upgrades. At Kong we've been working on the Kong Gateway Operator (KGO) to revolutionize the experience of operating Gateways in production. Say goodbye to the cumbersome, manual processes of managing Gateways. Our operator transforms the configuration and lifecycle management experience, automating the tedious and complex operations that used to bog you down.
How to perform exploratory testing as a team
Exploratory testing marks the connection where creativity meets discovery. This method isn’t just about ticking off a list; it's about venturing into the unknown, armed with curiosity and a keen eye for detail. It's a journey that's best embarked upon as a team, where each member's unique perspective and expertise illuminate different facets of the software, uncovering insights that might otherwise remain hidden.
Episode 4: Fivetran and Databricks CEOs reveal the secret to AI
George Fraser, CEO and co-founder of Fivetran, and Ali Ghodsi, CEO and co-founder of Databricks, are building products that power the modern data stack. They offer an insider’s perspective on the hardest parts of building and deploying generative AI in the enterprise.
4 Key Types of Event-Driven Architecture
Adam Bellemare compares four main types of Event-Driven Architecture (EDA): Application Internal, Ephemeral Messaging, Queues, and Publish/Subscribe. Event-Driven Architectures have a long and storied history, and for good reason. They offer a powerful way to build scalable and decoupled architectures. But thanks to its long history, people often have different ideas of what EDA means depending on when they first encountered this architecture.