In this quickstart, you deploy a simple web server containerized application to a Google Kubernetes Engine (GKE) cluster. You will learn how to create a cluster, and how to deploy the application to the cluster so that it can be accessed by users. Before reading this page, ensure that you're familiar with Kubernetes. Before you begin Take the following steps to enable the Kubernetes Engine API: Si
Cloud TPUs in Kubernetes Engine powering Minigo are now available in beta Google Kubernetes Engine (GKE) is a great place to run your containerized enterprise machine learning (ML) workloads. We recently announced the general availability of NVIDIA Tesla V100 GPUs with NVLink on GKE, which like the K80, P100 and P4 GPUs, let you speed up many CUDA-powered compute and HPC workloads, without having
Introducing Agones: Open-source, multiplayer, dedicated game-server hosting built on Kubernetes. In the world of distributed systems, hosting and scaling dedicated game servers for online, multiplayer games presents some unique challenges. And while the game development industry has created a myriad of proprietary solutions, Kubernetes has emerged as the de facto open-source, common standard for b
オンラインでのマルチプレーヤーに対応したゲーム専用サーバーのホスティングとスケーリングは、分散システムの世界においてもユニークな課題を抱える難しいテーマです。 ゲーム業界では、これまでさまざまなプロプライエタリのソリューションが開発されてきました。ところが、ここにきて、複数のクラウドやベアメタル サーバーにまたがる複雑なワークロードや分散システムの構築をサポートする事実上のオープンソース標準が存在感を増しています。Kubernetes がそれです。そこで、Google はこのほど、ゲーム専用サーバーのホスティングとスケーリングを Kubernetes で行う新しいオープンソース プロジェクト、Agones(競技場、集会という意味のギリシャ語)を発表しました。 Agonesは、“バッテリ同梱”(必要なものが最初からすべて揃っていることの意)を特徴とするオープンソースのソフトウェアで、現在は
オンラインでのマルチプレーヤーに対応したゲーム専用サーバーのホスティングとスケーリングは、分散システムの世界においてもユニークな課題を抱える難しいテーマです。 ゲーム業界では、これまでさまざまなプロプライエタリのソリューションが開発されてきました。ところが、ここにきて、複数のクラウドやベアメタル サーバーにまたがる複雑なワークロードや分散システムの構築をサポートする事実上のオープンソース標準が存在感を増しています。Kubernetes がそれです。そこで、Google はこのほど、ゲーム専用サーバーのホスティングとスケーリングを Kubernetes で行う新しいオープンソース プロジェクト、Agones(競技場、集会という意味のギリシャ語)を発表しました。 Agonesは、“バッテリ同梱”(必要なものが最初からすべて揃っていることの意)を特徴とするオープンソースのソフトウェアで、現在は
Introducing Cloud Inference API: uncover insights from large scale, typed time-series data Whether businesses are measuring clicks, queries, or sensor readings, they’re often generating time series or event-driven data. Analyzing this data offers businesses the potential to uncover insights in real time, but oftentimes it also means building a learning system that can scale to millions or even bil
Send feedback Compare AWS and Azure services to Google Cloud Stay organized with collections Save and categorize content based on your preferences. Last updated: September 13, 2024 This table lists generally available Google Cloud services and maps them to similar offerings in Amazon Web Services (AWS) and Microsoft Azure. You can filter the table with keywords, such as a service type, capability,
Your guide to Kubernetes best practicesOur entire Kubernetes best practices blog series in one location. By Google Cloud Content & Editorial • 3-minute read Containerizing interpreted languagesInterpreted languages, such as Ruby, Python, Node.js, PHP and others send source code through an interpreter that runs the code. This gives you the benefit of skipping the compilation step, but has the downs
Kubernetes best practices: upgrading your clusters with zero downtime Editor’s note: Today is the final installment in a seven-part video and blog series from Google Developer Advocate Sandeep Dinesh on how to get the most out of your Kubernetes environment. Everyone knows it’s a good practice to keep your application up to date to optimize security and performance. Kubernetes and Docker can make
Bowei DuSenior Staff Software Engineer, Cloud Networking [Editor's note: This is one of many posts on enterprise features enabled by Kubernetes Engine 1.10. For the full coverage, follow along here.] Over the past few weeks, we’ve made some exciting announcements around Google Kubernetes Engine, starting with the general availability of Kubernetes 1.10 in the service. This latest version has new f
Exploring container security: Isolation at different layers of the Kubernetes stack Editor’s note: This is the seventh in a series of blog posts on container security at Google. To conclude our blog series on container security, today’s post covers isolation, and when containers are appropriate for actually, well... containing. While containers bring great benefits to your development pipeline and
Using Jenkins on Google Compute Engine for distributed builds Continuous integration has become a standard practice across a lot of software development organizations, automatically detecting changes that were committed to your software repositories, running them through unit, integration and functional tests, and finally creating an artifact (JAR, Docker image, or binary). Among continuous integr
News, updates, and best practices for Cloud Operations, DevOps and SRE at Google
Introducing Cloud Memorystore: A fully managed in-memory data store service for Redis At Redisconf 2018 in San Francisco last month, we announced the public beta of Cloud Memorystore for Redis, a fully-managed in-memory data store service. Today, the public beta is available for everyone to try. Cloud Memorystore provides a scalable, more secure and highly available Redis service fully managed by
Every application has to store and access operational data, usually in a database. Managed database services can help you ship apps faster and reduce operational toil so you can focus on what makes your business successful and unique. To quote analyst firm Gartner, “Cloud-based deployment models and dbPaaS offerings are growing rapidly as an alternative, more flexible, delivery method1,” and our c
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