Systems | Development | Analytics | API | Testing

S1.E3: How to fit testing into DevOps? | QA Therapy Podcast

If you’re struggling to integrate testing seamlessly into your pipeline, join us in this enlightening episode as we delve into the world of testing within DevOps with our esteemed guest, Lisa Crispin, our very own QA Therapist! Lisa, a prominent figure in the testing community and an avid advocate for Agile and DevOps practices, shares her wealth of knowledge and insights.

Testing and Debugging in Django: Advanced Techniques and Tools

Django is one of the leading Python frameworks used to create full-stack web applications. In this comprehensive guide, you will explore the intricacies of testing and debugging within the Django framework, focusing on advanced methodologies and essential tools. Beginning with the fundamentals of Django unit and integration testing, you will delve into advanced techniques such as mocking, testing middleware, and profiling for optimal performance.

SmartBear Introduces HaloAI, Transforming Software Development and Test Productivity with AI Technology

SmartBear HaloAI is already delivering results in beta: shatters test times by 98% in the first 2 weeks with Zephyr Scale; automates half of QA tests, saving 20 hours per regression cycle.

7 Key Benefits of Microservices

Jeremy H - May 20, 2024 In the age of technology, businesses are experiencing a digital renaissance. Customers are interacting with companies through mobile devices and social media platforms more than ever, and they expect a higher level of service. This has forced businesses to re-evaluate how they operate to meet customer demands. One such way companies are changing the way they work is by adopting the benefits of microservices. The question is, why are microservices so helpful to modern enterprises?

Chat with Devs | Episode - 4 | Isitio Ambient Mesh

Istio Ambient Mesh is a massive overhaul of Istio's data plane architecture. The goal is to simplify operations and make it more cost effective to run a service mesh like Istio in production. In this video we will look at: 1] What are the challenges of a traditional service mesh sidecar approach? 2] Take a look at how Istio Ambient Mesh Solves that problem.

Best LLM Inference Engines and Servers to Deploy LLMs in Production

AI applications that produce human-like text, such as chatbots, virtual assistants, language translation, text generation, and more, are built on top of Large Language Models (LLMs). If you are deploying LLMs in production-grade applications, you might have faced some of the performance challenges with running these models. You might have also considered optimizing your deployment with an LLM inference engine or server.