talk-data.com
People (7 results)
See all 7 →
Activities & events
| Title & Speakers | Event |
|---|---|
|
In-PERSON: Apache Kafka® x Kong Meetup in London
2025-03-27 · 18:00
Join us for an Apache Kafka® x Kong meetup on Thursday, March 27th from 6:00pm in London hosted by TurinTech AI! 📍Venue: TurinTech AI 1 Finsbury Ave, City of London, London EC2M 2PF · London IMPORTANT: If you RSVP on the this page, you don't need to RSVP on Kong London meetup page. 🗓 Agenda:
💡 Speaker One: Johannes Brännström, Staff Solutions Engineer, Kong Title of Talk: Extending the worlds most used API platform to Kafka -- Why it matters, what's here today, what's coming and how to learn more. Abstract: In this talk, we’ll explore how Kong facilitates the way Kafka users interact with both synchronous and asynchronous APIs. Through the lens of example companies, we'll showcase how Kong helps manage and optimize their API ecosystems, balancing the needs for real-time event streaming with traditional API patterns. Attendees will gain an understanding of Kong’s current capabilities for Kafka integration, highlighting key features that enable smooth API management, enhanced scalability, and reliability. We'll also offer ways for you to get first-hand experience. Looking ahead, we’ll share exciting developments on the horizon, including upcoming features, enhancements that will further empower Kafka users as well as learn more. Bio: Joining Kong from MongoDB & Red Hat Johannes is passionate about agile, modern application architecture and continuous delivery in all areas required to build great software. 💡 Speaker Two: Harry Kimpel, Principal Developer Relations Engineer, New Relic Title of Talk: Unlock full end-to-end tracing through Kong and Kafka with OpenTelemetry Abstract: Ideally, you should be using distributed tracing to trace requests through your system, but Kafka decouples producers and consumers, which means there are no direct transactions to trace between them. Kafka also uses asynchronous processes, which have implicit, not explicit, dependencies. Another key component of such an architecture is securing and exposing endpoints with a powerful platform such as Kong. All of this makes it challenging to understand how your microservices are working together. However, it is possible to observe your Kong Gateway interactions and Kafka-based applications with distributed tracing and OpenTelemetry. You can then analyze and visualize your traces in an open source distributed tracing tool like Jaeger or a full observability platform like New Relic. In this talk I will leverage a simple application to show how you can achieve this. Bio: Passionate software craftsman with 25+ years experience in a broad spectrum of development technologies and platforms. Mostly focusing on .NET/C#, the Microsoft development stack and cloud-native software architectures. Key focus also on Microsoft Azure as well as Amazon Web Services (AWS) and Google Cloud Platform (GCP). Observability, monitoring and securing these environments are key aspects. Currently extremely interested in the Distributed Application Runtime (Dapr). *** DISCLAIMER NOTE: We are unable to cater for any attendees under the age of 18. If you would like to speak or host our next event please let us know! [email protected] |
In-PERSON: Apache Kafka® x Kong Meetup in London
|
|
IN PERSON: Apache Kafka® x Kong meetup
2025-03-27 · 18:00
Join us for an Apache Kafka® x Kong meetup on Thursday, March 27th from 6:00pm in London hosted by TurinTech AI! Venue: TurinTech AI, 1 Finsbury Ave, City of London, London EC2M 2PF · London Agenda:
Title of Talk 1: Extending the worlds most used API platform to Kafka -- Why it matters, what's here today, what's coming and how to learn more. Abstract: In this talk, we’ll explore how Kong facilitates the way Kafka users interact with both synchronous and asynchronous APIs. Through the lens of example companies, we'll showcase how Kong helps manage and optimize their API ecosystems, balancing the needs for real-time event streaming with traditional API patterns. Attendees will gain an understanding of Kong’s current capabilities for Kafka integration, highlighting key features that enable smooth API management, enhanced scalability, and reliability. We'll also offer ways for you to get first-hand experience. Looking ahead, we’ll share exciting developments on the horizon, including upcoming features, enhancements that will further empower Kafka users as well as learn more. Speaker One: Bio: Johannes Brännström, Staff Solutions Engineer, Kong. Joining Kong from MongoDB & Red Hat Johannes is passionate about agile, modern application architecture and continuous delivery in all areas required to build great software Title of Talk 2: Unlock full end-to-end tracing through Kong and Kafka with OpenTelemetry Abstract: Ideally, you should be using distributed tracing to trace requests through your system, but Kafka decouples producers and consumers, which means there are no direct transactions to trace between them. Kafka also uses asynchronous processes, which have implicit, not explicit, dependencies. Another key component of such an architecture is securing and exposing endpoints with a powerful platform such as Kong. All of this makes it challenging to understand how your microservices are working together. However, it is possible to observe your Kong Gateway interactions and Kafka-based applications with distributed tracing and OpenTelemetry. You can then analyze and visualize your traces in an open source distributed tracing tool like Jaeger or a full observability platform like New Relic. In this talk I will leverage a simple application to show how you can achieve this. Speaker Two Bio: Harry Kimpel, Principal Developer Relations Engineer, New Relic. Passionate software craftsman with 25+ years experience in a broad spectrum of development technologies and platforms. Mostly focusing on .NET/C#, the Microsoft development stack and cloud-native software architectures. Key focus also on Microsoft Azure as well as Amazon Web Services (AWS) and Google Cloud Platform (GCP). Observability, monitoring and securing these environments are key aspects. Currently extremely interested in the Distributed Application Runtime (Dapr). |
IN PERSON: Apache Kafka® x Kong meetup
|
|
In-PERSON: Apache Kafka® x Kong Meetup in London
2025-03-27 · 18:00
We are thrilled to welcome you to our in-person Meetup in London in collaboration with Confluent! The event will be hosted by TurinTech AI. When March 27, 18:00 - 21:00 Where 1 Finsbury Ave, London EC2M 2PF Agenda 18:00 - 18:30 Doors open 18:00 - 18:30 Food & Drinks and Networking 18:30 - 19:00 TurinTech AI / Welcome 19:00 - 19:45 [Talk 1] Extending the worlds most used API platform to Kafka -- Why it matters, what's here today, what's coming and how to learn more by Johannes Brännström (Staff Solutions Engineer, Kong) 19:45 - 20:30 [Talk 2] Unlock full end-to-end tracing through Kong and Kafka with OpenTelemetry from Harry Kimpel (Principal Developer Relations Engineer, New Relic) 20:30 - 21:00 Additional Q&A and Networking Talks 1) Extending the worlds most used API platform to Kafka -- Why it matters, what's here today, what's coming and how to learn more In this talk, we’ll explore how Kong facilitates the way Kafka users interact with both synchronous and asynchronous APIs. Through the lens of example companies, we'll showcase how Kong helps manage and optimize their API ecosystems, balancing the needs for real-time event streaming with traditional API patterns. Attendees will gain an understanding of Kong’s current capabilities for Kafka integration, highlighting key features that enable smooth API management, enhanced scalability, and reliability. We'll also offer ways for you to get first-hand experience. Looking ahead, we’ll share exciting developments on the horizon, including upcoming features, enhancements that will further empower Kafka users as well as learn more. 2) Unlock full end-to-end tracing through Kong and Kafka with OpenTelemetry Ideally, you should be using distributed tracing to trace requests through your system, but Kafka decouples producers and consumers, which means there are no direct transactions to trace between them. Kafka also uses asynchronous processes, which have implicit, not explicit, dependencies. Another key component of such an architecture is securing and exposing endpoints with a powerful platform such as Kong. All of this makes it challenging to understand how your microservices are working together. However, it is possible to observe your Kong Gateway interactions and Kafka-based applications with distributed tracing and OpenTelemetry. You can then analyze and visualize your traces in an open source distributed tracing tool like Jaeger or a full observability platform like New Relic. In this talk I will leverage a simple application to show how you can achieve this. Speakers Johannes Brännström (Staff Solutions Engineer, Kong) Joining Kong from MongoDB & Red Hat Johannes is passionate about agile, modern application architecture and continuous delivery in all areas required to build great software.highly available. Harry Kimpel (Principal Developer Relations Engineer, New Relic) Passionate software craftsman with 25+ years experience in a broad spectrum of development technologies and platforms. Mostly focusing on .NET/C#, the Microsoft development stack and cloud-native software architectures. Key focus also on Microsoft Azure as well as Amazon Web Services (AWS) and Google Cloud Platform (GCP). Observability, monitoring and securing these environments are key aspects. Currently extremely interested in the Distributed Application Runtime (Dapr). See you there! Kong Community Team By registering for this event, I understand that my personal information will be processed in accordance with Kong's Privacy Policy. |
In-PERSON: Apache Kafka® x Kong Meetup in London
|
|
Manage your APIs on Azure
2025-01-29 · 18:00
Welcome to an evening taking a deep dive into managing your APIs in the cloud at scale. We'll look at this exciting topic from many aspects like security, AI and governance. Be prepared to fully equipped to manage your APIs through these in-depth sessions. Agenda: 6:00PM - Arrivals 6:30PM - Welcome 6:35PM - Talk 1 with Azure API Managment - Andrei Kamenev 7:00PM - Securing your APIs in the cloud with Azure API Management 7:30PM 7:50PM - Break 7:50PM - How to manage governance for your APIs - Chris Noring |
Manage your APIs on Azure
|
|
As AI adoption accelerates, managing and scaling AI workloads securely has never been more critical. In this session, you’ll discover how the GenAI gateway capabilities in Azure API Management are purpose-built to manage machine learning models via APIs. Experience a unified control plane designed for seamless integration and governance. Explore how to address the challenges of scalability, security, and resource allocation while leveraging large language models (LLMs) for your development needs. Engage in dynamic discussions on how to enforce token limits, enhance performance with semantic caching, and ensure enterprise-grade security and compliance across your environments. This session empowers your teams to innovate confidently and with minimal overhead. What You’ll Learn:
|
Scaling & Securing AI Workloads with GenAI Gateway Capabilities: Azure API Manag
|
|
Pavan Kumar Narayanan
– author
This book covers modern data engineering functions and important Python libraries, to help you develop state-of-the-art ML pipelines and integration code. The book begins by explaining data analytics and transformation, delving into the Pandas library, its capabilities, and nuances. It then explores emerging libraries such as Polars and CuDF, providing insights into GPU-based computing and cutting-edge data manipulation techniques. The text discusses the importance of data validation in engineering processes, introducing tools such as Great Expectations and Pandera to ensure data quality and reliability. The book delves into API design and development, with a specific focus on leveraging the power of FastAPI. It covers authentication, authorization, and real-world applications, enabling you to construct efficient and secure APIs using FastAPI. Also explored is concurrency in data engineering, examining Dask's capabilities from basic setup to crafting advanced machine learning pipelines. The book includes development and delivery of data engineering pipelines using leading cloud platforms such as AWS, Google Cloud, and Microsoft Azure. The concluding chapters concentrate on real-time and streaming data engineering pipelines, emphasizing Apache Kafka and workflow orchestration in data engineering. Workflow tools such as Airflow and Prefect are introduced to seamlessly manage and automate complex data workflows. What sets this book apart is its blend of theoretical knowledge and practical application, a structured path from basic to advanced concepts, and insights into using state-of-the-art tools. With this book, you gain access to cutting-edge techniques and insights that are reshaping the industry. This book is not just an educational tool. It is a career catalyst, and an investment in your future as a data engineering expert, poised to meet the challenges of today's data-driven world. What You Will Learn Elevate your data wrangling jobs by utilizing the power of both CPU and GPU computing, and learn to process data using Pandas 2.0, Polars, and CuDF at unprecedented speeds Design data validation pipelines, construct efficient data service APIs, develop real-time streaming pipelines and master the art of workflow orchestration to streamline your engineering projects Leverage concurrent programming to develop machine learning pipelines and get hands-on experience in development and deployment of machine learning pipelines across AWS, GCP, and Azure Who This Book Is For Data analysts, data engineers, data scientists, machine learning engineers, and MLOps specialists |
O'Reilly Data Engineering Books
|