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🗞️Attention DevOps engineers: Top managed container sessions to add to your Next ‘24 agenda

🏷️ Serverless 🏷️ Application Modernization 🏷️ Google Cloud Next 🏷️ Containers & Kubernetes

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Attention DevOps engineers: Top managed container sessions to add to your Next ‘24 agenda

Article Image
2024-04-05 - Abdelfettah Sghiouar (from Google Cloud Blog)

Google Cloud Next ‘24 is around the corner, and it’s the place to be if you’re serious about cloud development! Starting April 9 in Las Vegas, this global event promises a deep dive into the latest updates, features, and integrations for the services of Google Cloud’s managed container platform, Google Kubernetes Engine (GKE) and Cloud Run. From effortlessing scaling and optimizing AI models to providing tailored environments across a range of workloads — there’s a session for everyone. Whether you’re a seasoned cloud pro or just starting your serverless journey, you can expect to learn new insights and skills to help you deliver powerful, yet flexible, managed container environments in this next era of AI innovation. Don’t forget to add these sessions to your event agenda — you won’t want to miss them. Google Kubernetes Engine sessions OPS212: How Anthropic uses Google Kubernetes Engine to run inference for Claude Learn how Anthropic is using GKEs resource management and scaling capabilities to run inference for Claude, its family of foundational AI models, on TPU v5e. OPS200: The past, present, and future of Google Kubernetes Engine Kubernetes is turning 10 this year in June! Since its launch, Kubernetes has become the de facto platform to run and scale containerized workloads. The Google team will reflect on the past decade, highlight how some of the top GKE customers use our managed solution to run their businesses, and what the future holds. DEV201: Go from large language model to market faster with Ray, Hugging Face, and LangChain Learn how to deploy Retrieval-Augmented Generation (RAG) applications on GKE using open-source tools and models like Ray, HuggingFace, and LangChain. We’ll also show you how to augment the application with your own enterprise data using the pgvector extension in Cloud SQL. After this session, you’ll be able to deploy your own RAG app on GKE and customize it. DEV240: Run workloads not infrastructure with Google Kubernetes Engine Join this session to learn how GKE's automated infrastructure can simplify running Kubernetes in production. You’ll explore cost -optimization, autoscaling, and Day 2 operations, and learn how GKE allows you to focus on building and running applications instead of managing infrastructure. OPS217: Access traffic management for your fleet using Google Kubernetes Engine Enterprise Multi-cluster and tenant management are becoming an increasingly important topic. The platform team will show you how GKE Enterprise makes operating a fleet of clusters easy, and how to set up multi-cluster networking to manage traffic by combining it with the Kubernetes Gateway API controllers for GKE. OPS304: Build an internal developer platform on Google Kubernetes Engine Enterprise Internal Developers Platforms (IDP) are simplifying how developers work, enabling them to be more productive by focusing on providing value and letting the platform do all the heavy lifting. In this session, the platform team will show you how GKE Enterprise can serve as a great starting point for launching your IDP and demo  the GKE Enterprise capabilities that make it all possible. Cloud Run sessions DEV205: Cloud Run – What's new Join this session to learn what's new and improved in Cloud Run in two major areas — enterprise architecture and application management. DEV222: Live-code an app with Cloud Run and Flutter During this session, see the Cloud Run developer experience in real time. Follow along as two Google Developer Relations Engineers live-code a Flutter application backed by Firestore and powered by an API running on Cloud Run. DEV208: Navigating Google Cloud - A comprehensive guide for website deploymentLearn about the major options for deploying websites on Google Cloud. This session will cover the full range of tools and services available to match different deployment strategies  — from simple buckets to containerized solutions to serverless platforms like Cloud Run. DEV235: Java on Google Cloud — The enterprise, the serverless, and the native In this session, you’ll learn how to deploy Java Cloud apps to Google Cloud and explore all  the options for running Java workloads using various frameworks. DEV237: Roll up your sleeves - Craft real-world generative AI Java in Cloud Run In this session, you’ll learn how to build powerful gen AI applications in Java and deploy them on Cloud Run using Vertex AI and Gemini models. DEV253: Building generative AI apps on Google Cloud with LangChain Join this session to learn how to combine the popular open-source framework LangChain and Cloud Run to build LLM-based applications. DEV228: How to deploy all the JavaScript frameworks to Cloud Run Have you ever wondered if you can deploy JavaScript applications to Cloud Run? Find out in this session as one Google Cloud developer advocate sets out to prove that you can by deploying as many JavaScript frameworks to Cloud Run as possible. DEV241: Cloud-powered, API-first testing with Testcontainers and Kotlin Testcontainers is a popular API-first framework for testing applications. In this session, you’ll learn how to use the framework with an end-to-end example that uses Kotlin code in BigQuery and PubSub, Cloud Build, and Cloud Run to improve the testing feedback cycle. ARC104: The ultimate hybrid example - A fireside chat about how Google Cloud powers (part of) AlphabetJoin this fireside chat to learn about the ultimate hybrid use case — running Alphabet services in some of Google Cloud’s most popular offerings. Learn how Alphabet leverages Google Cloud runtimes like GKE, why it doesn’t run everything on Google Cloud, and the reason some products run partially on cloud. Firebase sessions DEV221: Use Firebase for faster, easier mobile application development Firebase is a beloved platform for developers, helping them develop apps faster and more efficiently. This session will show you how Firebase can accelerate application development with prebuilt backend services, including authentication, databases and storage. DEV243: Build full stack applications using Firebase and Google CloudFirebase and Google Cloud can be used together to build and run full stack applications. In this session, you’ll learn how to combine these two powerful platforms to enable enterprise-grade applications development and create better experiences for users. DEV107: Make your app super with Google Cloud FirebaseLearn how Firebase and Google Cloud are the superhero duo you need to build enterprise-scale AI applications. This session will show you how to extend Firebase with Google Cloud using Gemini — our most capable and flexible AI model yet — to build, secure, and scale your AI apps. DEV250: Generative AI web development with AngularIn this session, you’ll explore how to use Angular v18 and Firebase hosting to build and deploy lightning-fast applications with Google's Gemini generative AI. See you at the show!

empty

🏷️ Serverless 🏷️ Application Modernization 🏷️ Google Cloud Next 🏷️ Containers & Kubernetes
[Technology] 🌎 https://cloud.google.com/blog/products/containers-kubernetes/next24-sessions-about-managed-container-runtimes/ [🧠] [v2] article_embedding_description: {:llm_project_id=>"Unavailable", :llm_dimensions=>nil, :article_size=>16032, :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] [v1/3] title_embedding_description: {:ricc_notes=>"[embed-v3] Fixed on 9oct24. Only seems incompatible at first glance with embed v1.", :llm_project_id=>"unavailable possibly not using Vertex", :llm_dimensions=>nil, :article_size=>16032, :poly_field=>"title", :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] [v1/3] summary_embedding_description: {:ricc_notes=>"[embed-v3] Fixed on 9oct24. Only seems incompatible at first glance with embed v1.", :llm_project_id=>"unavailable possibly not using Vertex", :llm_dimensions=>nil, :article_size=>16032, :poly_field=>"summary", :llm_embeddings_model_name=>"textembedding-gecko"}
[🧠] As per bug https://github.com/palladius/gemini-news-crawler/issues/4 we can state this article belongs to titile/summary version: v3 (very few articles updated on 9oct24)

🗿article.to_s 

------------------------------
Title: Attention DevOps engineers: Top managed container sessions to add to your Next ‘24 agenda
Summary: Google Cloud Next ‘24 is around the corner, and it’s the place to be if you’re serious about cloud development! Starting April 9 in Las Vegas, this global event promises a deep dive into the latest updates, features, and integrations for the services of Google Cloud’s managed container platform, Google Kubernetes Engine (GKE) and Cloud Run. From effortlessing scaling and optimizing AI models to providing tailored environments across a range of workloads — there’s a session for everyone. Whether you’re a seasoned cloud pro or just starting your serverless journey, you can expect to learn new insights and skills to help you deliver powerful, yet flexible, managed container environments in this next era of AI innovation.
Don’t forget to add these sessions to your event agenda — you won’t want to miss them.
Google Kubernetes Engine sessions
OPS212: How Anthropic uses Google Kubernetes Engine to run inference for Claude Learn how Anthropic is using GKEs resource management and scaling capabilities to run inference for Claude, its family of foundational AI models, on TPU v5e.
OPS200: The past, present, and future of Google Kubernetes Engine Kubernetes is turning 10 this year in June! Since its launch, Kubernetes has become the de facto platform to run and scale containerized workloads. The Google team will reflect on the past decade, highlight how some of the top GKE customers use our managed solution to run their businesses, and what the future holds.
DEV201: Go from large language model to market faster with Ray, Hugging Face, and LangChain Learn how to deploy Retrieval-Augmented Generation (RAG) applications on GKE using open-source tools and models like Ray, HuggingFace, and LangChain. We’ll also show you how to augment the application with your own enterprise data using the pgvector extension in Cloud SQL. After this session, you’ll be able to deploy your own RAG app on GKE and customize it.
DEV240: Run workloads not infrastructure with Google Kubernetes Engine Join this session to learn how GKE's automated infrastructure can simplify running Kubernetes in production. You’ll explore cost -optimization, autoscaling, and Day 2 operations, and learn how GKE allows you to focus on building and running applications instead of managing infrastructure.
OPS217: Access traffic management for your fleet using Google Kubernetes Engine Enterprise Multi-cluster and tenant management are becoming an increasingly important topic. The platform team will show you how GKE Enterprise makes operating a fleet of clusters easy, and how to set up multi-cluster networking to manage traffic by combining it with the Kubernetes Gateway API controllers for GKE.
OPS304: Build an internal developer platform on Google Kubernetes Engine Enterprise Internal Developers Platforms (IDP) are simplifying how developers work, enabling them to be more productive by focusing on providing value and letting the platform do all the heavy lifting. In this session, the platform team will show you how GKE Enterprise can serve as a great starting point for launching your IDP and demo  the GKE Enterprise capabilities that make it all possible.
Cloud Run sessions
DEV205: Cloud Run – What's new Join this session to learn what's new and improved in Cloud Run in two major areas — enterprise architecture and application management.
DEV222: Live-code an app with Cloud Run and Flutter During this session, see the Cloud Run developer experience in real time. Follow along as two Google Developer Relations Engineers live-code a Flutter application backed by Firestore and powered by an API running on Cloud Run.
DEV208: Navigating Google Cloud - A comprehensive guide for website deploymentLearn about the major options for deploying websites on Google Cloud. This session will cover the full range of tools and services available to match different deployment strategies  — from simple buckets to containerized solutions to serverless platforms like Cloud Run.
DEV235: Java on Google Cloud — The enterprise, the serverless, and the native In this session, you’ll learn how to deploy Java Cloud apps to Google Cloud and explore all  the options for running Java workloads using various frameworks.
DEV237: Roll up your sleeves - Craft real-world generative AI Java in Cloud Run In this session, you’ll learn how to build powerful gen AI applications in Java and deploy them on Cloud Run using Vertex AI and Gemini models.
DEV253: Building generative AI apps on Google Cloud with LangChain Join this session to learn how to combine the popular open-source framework LangChain and Cloud Run to build LLM-based applications.
DEV228: How to deploy all the JavaScript frameworks to Cloud Run Have you ever wondered if you can deploy JavaScript applications to Cloud Run? Find out in this session as one Google Cloud developer advocate sets out to prove that you can by deploying as many JavaScript frameworks to Cloud Run as possible.
DEV241: Cloud-powered, API-first testing with Testcontainers and Kotlin Testcontainers is a popular API-first framework for testing applications. In this session, you’ll learn how to use the framework with an end-to-end example that uses Kotlin code in BigQuery and PubSub, Cloud Build, and Cloud Run to improve the testing feedback cycle.
ARC104: The ultimate hybrid example - A fireside chat about how Google Cloud powers (part of) AlphabetJoin this fireside chat to learn about the ultimate hybrid use case — running Alphabet services in some of Google Cloud’s most popular offerings. Learn how Alphabet leverages Google Cloud runtimes like GKE, why it doesn’t run everything on Google Cloud, and the reason some products run partially on cloud.
Firebase sessions
DEV221: Use Firebase for faster, easier mobile application development Firebase is a beloved platform for developers, helping them develop apps faster and more efficiently. This session will show you how Firebase can accelerate application development with prebuilt backend services, including authentication, databases and storage.
DEV243: Build full stack applications using Firebase and Google CloudFirebase and Google Cloud can be used together to build and run full stack applications. In this session, you’ll learn how to combine these two powerful platforms to enable enterprise-grade applications development and create better experiences for users.
DEV107: Make your app super with Google Cloud FirebaseLearn how Firebase and Google Cloud are the superhero duo you need to build enterprise-scale AI applications. This session will show you how to extend Firebase with Google Cloud using Gemini — our most capable and flexible AI model yet — to build, secure, and scale your AI apps.
DEV250: Generative AI web development with AngularIn this session, you’ll explore how to use Angular v18 and Firebase hosting to build and deploy lightning-fast applications with Google's Gemini generative AI.
See you at the show!

[content]
empty
[/content]

Author: Abdelfettah Sghiouar
PublishedDate: 2024-04-05
Category: Technology
NewsPaper: Google Cloud Blog
Tags: Serverless, Application Modernization, Google Cloud Next, Containers & Kubernetes
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Google Cloud Next ‘24 is around the corner, and it’s the place to be if you’re serious about cloud development! Starting April 9 in Las Vegas, this global event promises a deep dive into the latest updates, features, and integrations for the services of Google Cloud’s managed container platform, Google Kubernetes Engine (GKE) and Cloud Run. From effortlessing scaling and optimizing AI models to providing tailored environments across a range of workloads — there’s a session for everyone. Whether you’re a seasoned cloud pro or just starting your serverless journey, you can expect to learn new insights and skills to help you deliver powerful, yet flexible, managed container environments in this next era of AI innovation.

\n

Don’t forget to add these sessions to your event agenda — you won’t want to miss them.

\n

Google Kubernetes Engine sessions

\n

OPS212: How Anthropic uses Google Kubernetes Engine to run inference for Claude
Learn how Anthropic is using GKEs resource management and scaling capabilities to run inference for Claude, its family of foundational AI models, on TPU v5e.

\n

OPS200: The past, present, and future of Google Kubernetes Engine
Kubernetes is turning 10 this year in June! Since its launch, Kubernetes has become the de facto platform to run and scale containerized workloads. The Google team will reflect on the past decade, highlight how some of the top GKE customers use our managed solution to run their businesses, and what the future holds.

\n

DEV201: Go from large language model to market faster with Ray, Hugging Face, and LangChain
Learn how to deploy Retrieval-Augmented Generation (RAG) applications on GKE using open-source tools and models like Ray, HuggingFace, and LangChain. We’ll also show you how to augment the application with your own enterprise data using the pgvector extension in Cloud SQL. After this session, you’ll be able to deploy your own RAG app on GKE and customize it.

\n

DEV240: Run workloads not infrastructure with Google Kubernetes Engine
Join this session to learn how GKE's automated infrastructure can simplify running Kubernetes in production. You’ll explore cost -optimization, autoscaling, and Day 2 operations, and learn how GKE allows you to focus on building and running applications instead of managing infrastructure.

\n

OPS217: Access traffic management for your fleet using Google Kubernetes Engine Enterprise
Multi-cluster and tenant management are becoming an increasingly important topic. The platform team will show you how GKE Enterprise makes operating a fleet of clusters easy, and how to set up multi-cluster networking to manage traffic by combining it with the Kubernetes Gateway API controllers for GKE.

\n

OPS304: Build an internal developer platform on Google Kubernetes Engine Enterprise 
Internal Developers Platforms (IDP) are simplifying how developers work, enabling them to be more productive by focusing on providing value and letting the platform do all the heavy lifting. In this session, the platform team will show you how GKE Enterprise can serve as a great starting point for launching your IDP and demo  the GKE Enterprise capabilities that make it all possible.

\n

Cloud Run sessions

\n

DEV205: Cloud Run – What's new 
Join this session to learn what's new and improved in Cloud Run in two major areas — enterprise architecture and application management.

\n

DEV222: Live-code an app with Cloud Run and Flutter
During this session, see the Cloud Run developer experience in real time. Follow along as two Google Developer Relations Engineers live-code a Flutter application backed by Firestore and powered by an API running on Cloud Run.

\n

DEV208: Navigating Google Cloud - A comprehensive guide for website deployment
Learn about the major options for deploying websites on Google Cloud. This session will cover the full range of tools and services available to match different deployment strategies  — from simple buckets to containerized solutions to serverless platforms like Cloud Run.

\n

DEV235: Java on Google Cloud — The enterprise, the serverless, and the native
In this session, you’ll learn how to deploy Java Cloud apps to Google Cloud and explore all  the options for running Java workloads using various frameworks.

\n

DEV237: Roll up your sleeves - Craft real-world generative AI Java in Cloud Run
In this session, you’ll learn how to build powerful gen AI applications in Java and deploy them on Cloud Run using Vertex AI and Gemini models.

\n

DEV253: Building generative AI apps on Google Cloud with LangChain
Join this session to learn how to combine the popular open-source framework LangChain and Cloud Run to build LLM-based applications.

\n

DEV228: How to deploy all the JavaScript frameworks to Cloud Run
Have you ever wondered if you can deploy JavaScript applications to Cloud Run? Find out in this session as one Google Cloud developer advocate sets out to prove that you can by deploying as many JavaScript frameworks to Cloud Run as possible.

\n

DEV241: Cloud-powered, API-first testing with Testcontainers and Kotlin
Testcontainers is a popular API-first framework for testing applications. In this session, you’ll learn how to use the framework with an end-to-end example that uses Kotlin code in BigQuery and PubSub, Cloud Build, and Cloud Run to improve the testing feedback cycle.

\n

ARC104: The ultimate hybrid example - A fireside chat about how Google Cloud powers (part of) Alphabet
Join this fireside chat to learn about the ultimate hybrid use case — running Alphabet services in some of Google Cloud’s most popular offerings. Learn how Alphabet leverages Google Cloud runtimes like GKE, why it doesn’t run everything on Google Cloud, and the reason some products run partially on cloud.

\n

Firebase sessions

\n

DEV221: Use Firebase for faster, easier mobile application development
Firebase is a beloved platform for developers, helping them develop apps faster and more efficiently. This session will show you how Firebase can accelerate application development with prebuilt backend services, including authentication, databases and storage.

\n

DEV243: Build full stack applications using Firebase and Google Cloud
Firebase and Google Cloud can be used together to build and run full stack applications. In this session, you’ll learn how to combine these two powerful platforms to enable enterprise-grade applications development and create better experiences for users.

\n

DEV107: Make your app super with Google Cloud Firebase
Learn how Firebase and Google Cloud are the superhero duo you need to build enterprise-scale AI applications. This session will show you how to extend Firebase with Google Cloud using Gemini — our most capable and flexible AI model yet — to build, secure, and scale your AI apps.

\n

DEV250: Generative AI web development with Angular
In this session, you’ll explore how to use Angular v18 and Firebase hosting to build and deploy lightning-fast applications with Google's Gemini generative AI.

\n

See you at the show!

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