Anton Shvein’s Post

If you’re working with event-driven applications, chances are you’ve heard of AsyncAPI. AsyncAPI is the standard specification for defining asynchronous APIs, just like OpenAPI is the standard specification for defining HTTP APIs. Before AsyncAPI, there was no standard way to document event-driven architectures. This made it challenging for developers to understand and use these systems consistently. Therefore, in this story, we will see how we can get started with AsyncAPI and document our EDA applications.

⏰ Why wait? React in real-time with AsyncAPI. Create responsive, scalable systems that react in real-time, unlocking new levels of efficiency and agility. Whether you’re integrating legacy systems or building cloud-native applications, we’ve got you covered. Tune in to see how to build event-driven architectures with AsyncAPI: https://sforce.co/4fN9Wbc

We're thrilled to have worked with our friends at Tyk at #FOSDEM! Check out the presentation recording below to learn about modern observability techniques for deploying changes quickly and ensuring API stability. https://bit.ly/42beMbW #APIOps #OpenTelemetry #Observability #Developers #TechTalk

ML engineers don't need to learn Docker!! Well only if they use LitServe 😉 Latest version enables smoother deployment with automatic Dockerization and zero-latency logging API ⚡️ 🐳 Dockerization: ▸ Simplify path to production with the LitServe CLI. Automatically generate a Dockerfile for your server, making containerization effortless. 📝 Logger API ▸ Log your metrics without any performance hit. Our Logger API ensures zero additional latency, keeping your applications ultra-responsive. 🔗 Callback API: ▸ Easily add custom logic at various stages of the model prediction lifecycle. 🔐 Middleware: ▸ Implement additional security measures, authentication, or inject custom code before and after request processing. lightning .ai/litserve

LitServe just got even better! 🔥 Say goodbye to Docker headaches! 🙅♂️ Our latest version offers automatic Dockerization and a blazing-fast Logger API, making deployment a breeze. 💨 Key features: Effortless Dockerization: Let LitServe CLI handle the heavy lifting. Generate Dockerfiles with a single command. Zero-Latency Logging: Track your metrics without sacrificing performance. Our Logger API ensures your app stays lightning-fast. Customizable Callbacks: Inject your own logic at different stages of the model prediction lifecycle. Flexible Middleware: Implement security measures, authentication, or custom code for added control. Try it today and experience the LitServe difference! 🚀 #LitServe #LLM #MachineLearning #Deployment #AI #Docker #Efficiency #Productivity

The latest update for #Speedscale includes "What is Ephemeral Data?" and "What are Ephemeral Environments?". #DevOps #Kubernetes #Testing #API https://lnkd.in/edzJMES

We did some digging and found that despite 78% of respondents listing #API speed, reliability, and uptime as key features only 23% said they consistently see strong performance with their APIs. Download our Four Pillars of Modern APIs report to learn more about the expectations and realities developers face when working with APIs and start building with Nylas FOR FREE today to see how we've prioritized API performance to create a frictionless developer experience. https://lnkd.in/gk6Y6T55

I had the opportunity to attend the introductory session of the 30 days Back-End Workshop conducted by Prince Kumar Singh On the first day we discussed about APIs,Role of API and how it's used as a middleman between service provider and clients,how back-end code is written in production and setting the agenda for the workshop. I am excited for the upcoming lectures and doing a deep dive on back-end technologies. #LearninPublic #WebDevelopment

The latest update for #Speedscale includes "How to Conduct an HTTP/2 Test on #APIs" and "Ways to Use Mock Services in #SoftwareDevelopment". #DevOps #Kubernetes #API #Testing https://lnkd.in/dPcsHAYP

AI-generated code can behave in unexpected ways if developers don't thoroughly review it! Dynatrace CTO Bernd Greifender explains six key reasons why AI-generated code could make it more difficult to maintain the reliability and security of software over the long term