Why Data Streaming Is a Game-Changer for Real-Time Action
Data streaming shifts the focus from storing data to acting on it in real-time—Tim Berglund, Confluent’s VP of Developer Relations, breaks down how.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Stream On: Unleashing Innovation with Data Streaming | Life is But a Stream
Real-time data streaming is shaking up everything we know about modern data systems. If you’re ready to dive in but unsure where to begin, no worries. That’s why we’re here. Our first episode breaks down the basics of data streaming—from what it is, to its pivotal role in processing and transferring data in a fast-paced digital environment. Your guide is Tim Berglund, VP of Developer Relations at Confluent, where he and his team work to make data streaming data and its emerging toolset accessible to all developers.
Open Source vs. Closed Source LLMs: Which is Better for Enterprises?
The market for artificial intelligence (AI) stood at $184 billion in 2024 and is expected to more than quadruple in the next six years. While these expectations are astonishing, AI experts think they’re conservative, to say the least, and the actual market value would be considerably bigger. Large language models (LLMs) like GPT 3 have ushered in the age of AI. They’re finding applications as varied as complex scientific research and writing lyrics for rap battles.
Turning AI Ambitions into ROI: Overcome Data Challenges with Snowflake Partners
Generative AI’s potential to drive innovation, improve efficiency and create competitive advantages is enormous. However, the ability to fully realize the benefits of generative AI hinges on one crucial factor: data strategy. “Data Strategies for AI Leaders,” a report co-written by MIT and Snowflake, underscores how organizations must invest in robust data foundations to succeed in the AI era.
Top 5 Ai-Powered Vs Code Extensions For Coding & Testing In 2025
One of the software industry’s most important pain points in testing is “Coverage”. It is manually impossible to generate test cases while covering edge cases and different scenarios with the scale of how much code gets written each day. AI Agents here save time and improve test coverage and reliability. Developers can now focus on core logic while AI handles repetitive and error-prone tasks like writing unit tests.
A Complete Guide To Android Fragmentation & How to Deal With It
As of 2025, Android powers approximately 71.85% of the global mobile operating system market. For developers and QA teams, this variety is both exciting and overwhelming.
Understanding Healthcare App Testing: Improving Customer Acquisition & Retention
Did you know the global digital health market is on track to surpass $660 billion by the end of 2025? That’s no surprise, considering how healthcare apps have become indispensable in our daily lives.
AI isn't here to replace you#AI #DigitalAssistant #Productivity
It’s your ultimate digital assistant, enhancing your work and streamlining tasks! This insight from Mark will change how you think about AI. Watch the full episode!
Is It Time To Consider Moving Past AWS API Gateway?
AWS offers its own out-of-the-box API gateways. For many AWS teams, AWS API Gateways are a natural place to start when beginning their API management and API gateway journeys. However, as API practices and programs begin to scale, many organizations begin to look beyond AWS due to major limitations, feature gaps, performance issues, and cost-effectiveness challenges.
Onboarding new software on a deadline: Microsoft Visual Studio App Center shutdown
With just two months to go until the deprecation date for Microsoft Visual Studio App Center, it might feel like there’s a mountain to climb. However, with a clear plan and the right resources (spoiler alert: free templates here or at the end of this post), you can turn this challenge into a success story. Let’s get going.