Create a reliable and scalable cloud infrastructure that can adapt to a growing and evolving business.
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Best Practices for GKE upgrade
Do you have a GKE cluster and are looking for the best way to upgrade it? Do you know your cluster can be upgraded during off-peak hours by setting up a maintenance window? Then check out this video to learn best practices to upgrade your cluster and node-pools. We also show how to setup a maintenance window to upgrade during off peak hours and avoid any disruption to your GKE clusters.Click on the video below to watch it in detail.Chapter:0:00 - Intro0:26 - Different types of GKE environments1:22 - Introduction to release channels2:17 - Recommendation on release channels2:42 - How to get more information about release channels?2:56 - Cluster upgrade strategy3:44 - How to set up the GKE cluster maintenance window?4:56 - Node pool upgrade strategy Extra Credit:Best practices for upgrading clusters → https://goo.gle/3R3ZKgW
Introducing support for GPU workloads and even larger Pods in GKE Autopilot
Run your AI/ML, video transcoding, and other GPU workloads on Google's fully managed Kubernetes platform! NVIDIA T4 and A100 GPUs are now available on GKE Autopilot.The great thing about running GPU workloads on Autopilot is that all you need to do is specify your GPU requirements in your Pod configuration, and Google Cloud take care of the rest. No need to install drivers separately, or worry about non-GPU pods running on your valuable GPU nodes, because Autopilot takes care of GPU configuration and Pod placement automatically. Click on the link below to read it more detail. https://cloud.google.com/blog/products/containers-kubernetes/run-gpu-workloads-on-gke-autopilot
A map of storage options in Google Cloud
Where should your application store data?Of course, the choice depends on the use case.This post covers the different storage options available within Google Cloud across three storage types: object storage, block storage, and file storage. It also covers the use cases that are best suited for each storage option.
Understanding Google Cloud Spot Instances
A VM enthusiast and a VM skeptic team up to cover what’s happening in the world of VMs. In this video, Developer Advocates Carter Morgan and Brian Dorsey chat about Spot instances which are a discount of about 60 to 90% off the on-demand instance prices, but there’s a trade off. Watch to learn when you can (and should) use Spot Instances!Click on the video below to watch it in detail: Chapters:0:00 - Intro0:47 - Spot instances overview1:43 - Discounts are good... what's the catch?3:00 - 60-90% discount is... quite the range.6:22 - What is a Spot VM?8:00 - How do you test spot workloads?9:24 - Keeping track of VMs that come and go?13:35 - How do I get started?14:45 - Wrap up. Extra credit:Spot VMs → https://goo.gle/3RA0wTo
Hello everyone, is there a channel, group, or thread, whether in this community or elsewhere, where you can make features requests to the GCP ?I’ve been playing with Cloud Run, which is really a cool service, but I’ve noticed that the `SET UP CONTINUOUS DEPLOYMENT` subsequent form does not allow to look for a Dockerfile that is not in the root of the repo while having the root folder as the build context (as you would do with in a docker-compose file by specifying the context);this prompted me to do something quite ackward, which is creating the same Dockerfile at the root of my project instead of just referencing it from the GCP UI; both files are exactly the same, and it terms of maintenance, this is not great Is there a way to keep a nested Dockerfile as the one which the build will be made from without having to copy the exact same file at root just because of build context ? Does it worth a feature request, if such a channel existed ? Thanks 🙏
health check not working to elastic cloud
Hello.I have an elastic cloud in kubernets and I would like to make the elastic service accessible from the internet, but I can't because elastic needs a token to return 200 in the health check but I couldn't find where to pass the token, so my backend, which is elastic, is always with unavailable status because whenever the health check hits /_cat/health the status returning is 401.
[Article] Introducing Kubernetes control plane metrics in GKE
Google cloud announce that google cloud are now exposing Kubernetes control plane metrics, which are now Generally Available. With GKE, Google fully manages the Kubernetes control plane; however, when troubleshooting issues it can be helpful to have access to certain metrics emitted by the Kubernetes control plane.Click on the link below to read it more detail.https://cloud.google.com/blog/products/containers-kubernetes/kubernetes-control-plane-metrics-are-generally-available
Connect Gateway and ArgoCD
Integrating your ArgoCD deployment with Connect Gateway and Workload Identity provides a seamless path to deploy to Kubernetes on many platforms. ArgoCD can easily be configured to centrally manage various cluster platforms including GKE clusters, Anthos clusters, and many more. This promotes consistency across your fleet, saves time in onboarding a new cluster, and simplifies your distributed RBAC model for management connectivity. Interesting? 👉 Read further https://cloud.google.com/blog/products/containers-kubernetes/connect-gateway-with-argocd
Jupiter Evolving: Transforming Google's Datacenter Network via Optical Circuit (TS 1, SIGCOMM'22)
An insight into how Google has removed the generic CLOS Spine capacity challenges present in today's DC fabrics. Google cloud datacentre Jupiter fabrics now use Optical Circuit Switching instead of Spines.click on the video below to watch it in detail:
How to verify networking in Apigee X
The API proxy deployment process in Apigee X has two main prerequisites; networking configuration and routing configuration. If these configurations are invalid, the API proxy endpoints may not be accessible. In this video you will learn Apigee X networking architecture and the process of verifying networking configuration in an Apigee X organization.Click on the video below to watch it in detail: Also you can check the video link below to verify routing configuration in Apigee X
How to verify routing configuration in Apigee X
Are your API requests not reaching the API Proxies in Apigee X? Are you observing 503 errors for your API Proxies due to incorrect routing configuration? Then check out this video to learn about the routing data model, how it is applied in Apigee X instances, how to verify the routing configuration and ensure the API requests are routed to the correct API Proxies in an Apigee X organization.Click on the video below to watch it in detail: Chapters:0:00 - Intro0:34 - What is the routing data model?1:48 - Example single-region solution architecture2:25 - Example multi-region solution architecture3:11 - How to verify environment attachments of instances?3:53 - How to verify hostname configuration in the environment group?4:18 - How to verify API proxy configuration?4:46 - How to verify the API request is correctly routed to the API proxy? Also, you can check the video link below to verfy networking in Apigee X
Running scalable apps with automation on Kubernetes
Cloud-native has become synonymous with container-native, and as a result, a Kubernetes strategy is crucial to the success of IT given how quickly IT requirements are changing to meet shifting customer demands. Join this Google Cloud Innovator event to discover how to improve your containerized apps with fully managed Google Kubernetes Engine solutions, with in-depth analyses of integrated day 2 operating solutions and capabilities and how to execute your workload on both ARM and x86 processors. Date and Time: 13 September 2022 18:00- 19:00 BST Speaker: Please click on the link below to join this event. https://cloudonair.withgoogle.com/events/innovators-run-apps-on-kubernetes
Filestore Enterprise for fully managed, fault tolerant persistent storage on GKE
This blog explores several storage solutions using containers and how Filestore Enterprise functions to assist clients in choosing the optimal storage option for their needs. Shahar Frank, Principal Software Engineer, and Akshay Ram Product Manager at google cloud wrote very well about the following topics. Storing state with containers Storage options GCP block and file storage backends Filestore as fully managed container storage Summary and conclusions Please click on the following link to read more details: https://cloud.google.com/blog/products/containers-kubernetes/gke-and-filestore-enterprise-better-together
Monetization was a key selling point of Apigee
AccuWeather, a weather media and big data firm, used apigee to reach a new target audience and generate new revenue streams!Apigee is more than just an API Gateway; it is an API Management Platform that may assist API-driven clients in developing new services and fine-tuning pricing plans in order to reach new consumers.If you want to discover more about AccuWeathers' journey, read the case study below! https://cloud.google.com/customers/accuweather/
Lift your VMware workloads to the Google Cloud
Your key takeaways from this webinar. Google Cloud VMware Engine:Allows you to seamlessly migrate your existing VMware workloads to the Cloud. Is a fully managed integrated offering that enables you to run a Software Defined Data Center in Google Cloud. Allows you to continue using the 3rd party tools and solutions which you’ve been using on-premise thanks to our wide range of 3rd-party tool support. Here is the link below to join the event https://cloudonair.withgoogle.com/events/lift-your-vmware-workloads-cloud Retiring or extending data centers to the cloud is currently on top of most technical decision-makers’ minds—not just to benefit from on-demand burst capacity or first-class security as your business requires it, but also to have access to solutions that allow you to derive new insights from existing data to quickly make informed decisions. Google Cloud VMware Engine allows you to seamlessly migrate your existing VMware workloads to the cloud. Run your workloads in Google Clo
New region is coming to Mexico
Google announced a five-year, $1.2 billion USD commitment to Latin America to expand digital infrastructure, support digital skills, foster an entrepreneurial ecosystem, and help create inclusive and sustainable communities. To build on these initiatives and meet the growing demand for cloud services around the world, we are excited to announce that a new Google Cloud region is coming to Mexico. When it launches, this new cloud region will be our third in Latin America, joining Santiago, Chile, and São Paulo, Brazil, among the 34 regions and 103 zones currently in operation around the world, delivering high-performance, low-latency cloud services to customers of all sizes and industries. It will help support the digital transformations of enterprises, cloud-native companies, and public sector organizations. 👉 Read further on Announcing a new Google Cloud region in Mexico | Google Cloud Blog
Why Should You Consider Using Docker as a Developer?
Docker is an open source containerization platform. It is a platform that makes it easier, simpler, and safer in building, deploying, and managing containerized applications. Docker provides the ability to package and run an application in a loosely isolated environment called a container. The isolation and security allows you to run many containers simultaneously on a given host. Containers are lightweight and contain everything needed to run the application, so you do not need to rely on what is currently installed on the host. You can easily share containers while you work, and be sure that everyone you share with gets the same container that works in the same way. Read more here
Run Arm workloads on GKE
🚀 Run your Arm workloads on Google Kubernetes Engine with Tau T2A VMs Earlier today, we announced Google Cloud’s virtual machines (VMs) based on the Arm architecture on Compute Engine. Called Tau T2A, these VMs are the newest addition to the Tau VM family that offers VMs optimized for cost-effective performance for scale-out workloads. We are also thrilled to announce that you can run your containerized workloads on the Arm architecture using GKE. Arm nodes come packed with the key GKE features you love on the x86 architecture, including the ability to run in GKE Autopilot mode for a hands-off experience, or on GKE Standard clusters where you manage your own node pools. See the ‘Key GKE features’ below for more details. 👉 Read further https://cloud.google.com/blog/products/containers-kubernetes/gke-supports-new-arm-based-tau-t2a-vms
Managed prometheus port forward
Dear Team,I’ve installed the managed prometheus setup and trying to setup the promethus and grafana but while executing the port forwarding command to 3000 getting the port is already in use which is cloud shell service is running on that. How do I moved the cloud shell service on different port.
New Cloud Armor features
🎉New Cloud Armor features including rate limiting, adaptive protection, and bot defense General Availability of new capabilities in Cloud Armor that can greatly improve the security, reliability, and availability of deployments, including:Per-client rate limiting with two new rule actions: “throttle” and “rate_based_ban”; Bot management with reCAPTCHA Enterprise; and Machine learning-based Adaptive Protection to help counter advanced Layer 7 attacksAlso, we are announcing the availability of new Cloud Armor features in Preview, including:Updated preconfigured WAF rules based on CRS 3.3, and Network-based threat intelligence to help block known bad traffic These new capabilities help provide enterprise-ready DDoS protection and web application firewall (WAF) solutions at planet-scale for our customers’ workloads, be they located on-premises, in colocation, or in any public cloud. 👉 Read further https://cloud.google.com/blog/products/identity-security/announcing-new-cloud-armor-rate-li
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