Fivetran Managed Data Lake Service and Google's Cloud Storage power a modern data lake
Build an interoperable data architecture for analytics and AI using Fivetran Managed Data Lake Service and Google’s Cloud Storage.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Why are AI Agents Superior to LLM #speedscale #apitesting #mocks #ai #agents #llm #developers
Matt LeRay explains the key difference: AI agents can perform multi-step processes to solve complex software tasks, unlike simple LLMs that mainly answer questions. Discover how agents go beyond chat to: What are your thoughts on AI agents in software development? Let us know in the comments below!
Best Marketing Analytics Tools for 2025
In the fast-paced world of digital marketing, having the right tools to track and analyze data can make the difference between a successful campaign and one that falls flat. With an increasing number of touchpoints and channels, marketers are under constant pressure to collect meaningful insights that drive decision-making.
Kafka ETL for Real-Time Data Pipelines
In the era of real-time analytics, traditional batch ETL processes often fall short of delivering timely insights. Apache Kafka has emerged as a game-changer, enabling organizations to build robust, scalable, and real-time ETL pipelines. This article delves into how Kafka for ETL facilitates modern integration processes, its core components, best practices, and real-world applications.
Testing in 2025: AI, Automation & the Evolution of QA Leadership
In this episode of Test Case Scenario, host Jason Baum, along with co-hosts Marcus Merrell and Evelyn Coleman, sit down with Nithin S.S., Head of QA at Lodgify and founder of Synapse QA, to explore the rapidly evolving landscape of software testing in 2025.
Instant API updates with Kong Insomnia | Platform engineering demo
Tired of slow, manual config changes in your internal platform? In this quick demo, we show how to instantly deploy and update your API configurations using Kong Gateway, Kong Konnect, and Insomnia. It’s declarative, Git-based, and built for platform engineers who want governance without the bottlenecks. What you'll see:How to manage APIs with declarative config Using Git workflows to push updates to the cloud Real-time deployment via Kong and Insomnia A clean, self-service experience for platform teams.
Secure your MCP servers with Kong AI Gateway
Managing AI infrastructure isn’t enough—you need to protect it. In this demo, learn how to secure, observe, and govern your MCP servers using Kong AI Gateway. If you’re integrating MCP into your stack, Kong’s AI Gateway acts as the trust layer—keeping your costs down, your innovation moving, and your risks in check. Subscribe for more demos on AI infrastructure, API management, and platform engineering.
Building Streaming Data Pipelines, Part 1: Data Exploration With Tableflow
Whether we like it or not, when it comes to building data pipelines, the ETL (or ELT; choose your poison) process is never as simple as we hoped. Unlike the beautifully simple worlds of AdventureWorks, Pagila, Sakila, and others, real-world data is never quite what it claims to be. In the best-case scenario, we end up with the odd NULL where it shouldn’t be or a dodgy reading from a sensor that screws up the axes on a chart.
A Guide to Agentic RAG: What Makes RAG truly Agentic?
Before we delve into agentic RAG and AI agents, let’s take a moment to acknowledge that the world of artificial intelligence is evolving at a tremendous pace. From the initial excitement surrounding large language models (LLMs) to the practical application of generative AI (Gen AI), businesses are constantly finding new ways to automate tasks and innovate faster.
Untangling fan engagement: Carlo De Marchis (A Guy with a Scarf) on going beyond the raw metrics
Fan engagement strategies are evolving rapidly. But how do organizations ensure they are delivering realtime data with real meaning to their customers? As a veteran of the sports media industry with 35 years of experience at Deltatre, Carlo De Marchis (A Guy With a Scarf) recently gave a keynote at Ably’s fan engagement summit in February, and explored exactly this question - what should companies actually be trying to achieve when building a fan engagement strategy? His answer was concise.