GitTogether | Evolution of State of OpenSource and GitHub | Karan M.V.
Talking about Open Source, and Git was still new Open Source VCS. Today 93% of devs use it to build & deploy software.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Enterprise-Grade Service Mesh: A Reference Architecture with OpenShift, Istio, and Kong
The service mesh architecture pattern has become a de facto standard for microservices-based projects. In fact, from the mesh standpoint, not just microservices but all components of an application should be under its control, including databases, event processing services, etc.
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Testing LLM Backends for Performance with Service Mocking
While incredibly powerful, one of the challenges when building an LLM application (large language model) is dealing with performance implications.
Introducing Keploy | Your automated API Test Engineer: AI-Driven Edge Cases & No Hallucinations
Looking for an automated test solution that offers unparalleled accuracy? Meet Keploy, your AI-driven API test engineer. Here's a description for "Introducing Keploy | Your Automated API Test Engineer: AI-Driven Edge Cases & No Hallucinations ".
GitTogether | GenAI & Open Source | Kunal Deo
The resurgence of Artificial Intelligence (AI) in recent years owes much to a pivotal moment: the publication of a groundbreaking paper by Google. This event underscores the significant role of Open Source in advancing AI technologies. In this presentation, we delve into how Open Source is not just influencing but also shaping the landscape of Generative AI (GenAI). However, our focus extends beyond the traditional dichotomy of Open Source versus proprietary technologies. Instead, we explore the complementary nature of both realms in fostering the development of the AI ecosystem.
How to Improve Efficiency & Consistency in Test Management
Software testing can feel like you're walking a tightrope—striving to uphold impeccable quality standards while the clock ticks towards your next release. It’s a daunting challenge to make sure every test is planned and executed with speed, all while hoping there are no blind spots in your process. Enter test management. It’s a great way to ensure your tests remain organized, efficient, and consistent. And of course, so you can report on this hard work to leadership.
Using Moesif, Kong, and Stripe to Monetize Your AI APIs - Part 3: Managing Customer Credit
Things can get tricky when managing pre-paid, pay-as-you-go billing for monetized APIs. Three mechanisms must be in place for this type of billing to work: first, you need to be able to add credits to an account. Second, you need to be able to burn down those credits. Third, you need to be able to block users from accessing the API once they have run out of credits.
Direct API-Database Coupling vs. Multi-Layered Architectures
API-database coupling vs. traditional multi-layered architectures: what’s the difference and why does it matter? The main difference between direct API-database coupling and multi-layered architectures is that the former allows the API to interact directly with the database, minimizing latency and complexity, while the latter uses multiple layers to separate concerns.
Observability Meets AI: Unlocking New Frontiers in Data Collection, Analysis, and Predictions
As software systems become increasingly complex, observability — the ability to understand a system's internal state based on its external outputs — has become a critical practice for developers and operations teams. Traditional observability approaches struggle to keep up with the scale and complexity of modern applications. As the amount of telemetry data grows, it becomes expensive and complex to navigate. Enter AI and its promise to revolutionize observability.
Decoding Network Traffic: Telemetry With Network Activity
Network Telemetry, in simple terms, is like having a conversation with machines or systems located far away. It’s about collecting data from these distant sources to better understand how they’re performing. Think of it as a health check-up, but for machines or systems instead of people. This technology plays a crucial role in a variety of fields.