steren’s avatarsteren’s Twitter Archive—№ 4,509

                                        1. 🚀 Today at #GoogleNext19, we are launching Cloud Run. Allowing you to run any stateless http container in a fully managed environment, paying only for the exact resources you use. 📦☁️ 👉 cloud.google.com/run
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                                        😕 Developers love serverless, but feel limited by the available programming languages or the need to rewrite using functions. 👉 Cloud Run brings the properties of serverless to containers: no infra management, fast autoscaling and pay per use.
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                                      Sometimes, you want more control or have to run on top of Kubernetes, we are also introducing Cloud Run on GKE. Allowing you to run the same serverless workloads with the same developer experience, in your own GKE cluster. cloud.google.com/run/docs/quickstarts/prebuilt-deploy-gke
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                                    🙏 to the thousands alpha and beta testers who have been using Cloud Run in the past months, providing feedback and reporting issues. You helped us shape Cloud Run!
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                                  Cloud Run and Cloud Run on GKE both implement the KnativeProject API. An OSS project we introduced last year. This allows you to deploy the same autoscaled services to a fully managed GCP environment, to your own GKE cluster, or anywhere #Kubernetes runs with #Knative.
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                                😎I started a collection of awesome Cloud Run related things (articles, docs, containers, tools): github.com/steren/awesome-cloudrun Feel free to send suggestions via Pull Requests.
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                              🎬 How to build with Cloud Build and deploy to Cloud Run by BretMcG and martinomander: youtu.be/nJ0L28ZfmUA
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                            🌍 Cloud Run integrates with Firebase Hosting. This allows you to create webapps with dynamic endpoints using Cloud Run. All of this behind a global CDN out of the box: firebase.google.com/docs/hosting/cloud-run
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                          Firebase Very excited to partner with stackblitz for this amazing in browser developer experience: 1. Start by picking your stack 2. Get a GitHub repo and the prod app on Cloud Run 3. Iterate on the code using an in-browser VS Code-like editor Read more at medium.com/stackblitz-blog/google-cloud-meet-stackblitz-da13f4e4fc29?1
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                        Firebase stackblitz And we are very proud to count datadog as a launch partner, allowing you to monitor your Cloud Run and Cloud Run on GKE services: datadoghq.com/blog/monitor-google-cloud-run-with-datadog/
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                      Firebase stackblitz datadog If you encounter issues or have questions about Cloud Run, please post on StackOverflow with the tag google-cloud-run. Many googlers and myself are monitoring this tag and will be happy to help you stackoverflow.com/questions/tagged/google-cloud-run
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                    Firebase stackblitz datadog StackOverflow As the name implies, Cloud Run pairs great with Cloud Build. Did you know that you can set up Continuous Deployment of your git repository to Cloud Run using Cloud Build? Docs at 👉 cloud.google.com/run/docs/continuous-deployment
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                  Firebase stackblitz datadog StackOverflow Cloud Run now has direct support for Cloud SQL (in alpha). When enabled, we activate and configure the Cloud SQL proxy for you. See temporary instructions here: stackoverflow.com/a/55892255/481649 We are working on publishing docs and moving it to Beta within 10 days. (cc gabidavila)
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                Firebase stackblitz datadog StackOverflow gabidavilacloud.run now redirects to the Cloud Run product page 😎
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              Firebase stackblitz datadog StackOverflow gabidavila One month after the launch of Cloud Run, we are pleased to launch several new features to address your top requests: 🧮Cloud SQL support, 📈Metric at a glance, 🌍Europe and 🌏Asia regions opening soon. Read more: cloud.google.com/blog/products/serverless/cloud-run-bringing-serverless-to-containers
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            Firebase stackblitz datadog StackOverflow gabidavila As promised, Cloud Run (cloud.run) is now available in 🌍Europe and 🌏Asia. You can now picked from these 4 GCP regions: - asia-northeast1 (Tokyo) - europe-west1 (Belgium) - us-central1 (Iowa) - us-east1 (South Carolina)
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          Firebase stackblitz datadog StackOverflow gabidavila Cloud Run will now only support HTTPS (because it's 2019)
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        Firebase stackblitz datadog StackOverflow gabidavila 🏷️You can now set labels on your Cloud Run services. cloud.google.com/run/docs/configuring/labels You can then filter billing, logs or metrics. Use cases include cost center / team ownership, environments (env:prod)...
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      Firebase stackblitz datadog StackOverflow gabidavila 🗄And today, we are announcing Cloud Run for Anthos, allowing you to get the same Cloud Run developer experience and scalability on-premises: cloud.google.com/blog/topics/hybrid-cloud/anthos-simplifies-application-modernization-with-managed-service-mesh-and-serverless-for-your-hybrid-cloud
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    Firebase stackblitz datadog StackOverflow gabidavila 👩‍💻The Cloud Run API is now "v1": cloud.google.com/run/docs/reference/rest/ This new API is an implementation of the recently released Knative Serving v1 API. "v1" means that you can expect stability and long term support. One step closer to general availability!
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      Firebase stackblitz datadog StackOverflow gabidavila 📊 Many of you wanted to better understand how much Cloud Run scales and how many instances are scheduled. We added a new chart to the Metrics tab that should answer this question. E.g. if ou see "2s/s", that means 2 instances were continuously serving traffic in this second.
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        Firebase stackblitz datadog StackOverflow gabidavila 💥Since Beta, Cloud Run has integrated with Stackdriver Error Reporting out of the box (cloud.google.com/run/docs/error-reporting) We are now surfacing a summary of your top errors right in the Cloud Run user interface:
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          Firebase stackblitz datadog StackOverflow gabidavila ☑️If you have 2 minutes, help us prioritize the next Cloud Run features by taking this short survey: forms.gle/irVTCQ5LTVLPXTqr6
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            🏥 Serverless containers for healthcare: Cloud Run is now covered by GCP HIPAA compliance cloud.google.com/security/compliance/hipaa/#covered-products
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              🎬 I created a Youtube playlist of my recommended Cloud Run related videos: youtube.com/watch?v=gx8VTa1c8DA&list=PLyAgaU37vE7S_Jjt8p6tL1LLmwKziRZjl
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                  🤝A broad ecosystem of partners are supporting Cloud Run: CI/CD, Observability and Security cloud.google.com/blog/topics/partners/expanding-the-serverless-ecosystem-for-cloud-run
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                    🆕Along with General Availability, came many new cloud.run features. glaforge and I wrote about them in cloud.google.com/blog/products/serverless/a-developers-guide-to-new-features-in-cloud-run
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                      glaforge 📜 The Service Level Agreement (SLA) for Cloud Run (fully managed) has been updated to 99.95% cloud.google.com/run/sla
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                        glaforge 📄The cloud.run product page has been re-designed and now includes a list of common use cases cloud.google.com/run/#use-cases
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                          glaforge If storing config as code or implementing GitOps is your thing, you will be glad to hear that you can now deploy to cloud.run from a local YAML file:
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                            🌍🌎🌏 Cloud Run is now available in these 5 GCP regions: North Virginia, Oregon, Netherlands, Finland, and Taiwan
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                              🔵🟢 Cloud Run now has support for rollbacks, gradual rollouts (blue/green deployments), and other traffic migration manipulations between Cloud Run Revisions. Use the Cloud Console or gcloud run services update-traffic. More at cloud.google.com/run/docs/rollouts-rollbacks-traffic-migration
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                                🏗️The cloud.run user interface now displays link to the build information of the deployed container, as well as the repo and commit used to build it (if you are using a Cloud Build Trigger)
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                                  🖧 Your Cloud Run services can now connect to VPC networks, for example to access Memorystore Redis and Memcached. Use it now: 1. Create a Serverless VPC Access connector: cloud.google.com/vpc/docs/configure-serverless-vpc-access 2. $ gcloud alpha run services update SERVICE --vpc-connector CONNECTOR
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                                    🏗️ @GCPcloud has released a set of Buildpacks to help you build containers in Go, Node.js, Python, Java and .Net without having to maintain any Dockerfile. The resulting containers are optimized for production and for the Cloud Run environment. github.com/GoogleCloudPlatform/buildpacks
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                                      📝Cloud Run is now supported in Cloud Code for both code and intellijidea. 1 Bootstrap with samples 2 Explore your services 3 Deploy - VSCode: marketplace.visualstudio.com/items?itemName=GoogleCloudTools.cloudcode - IntelliJ: plugins.jetbrains.com/plugin/8079-cloud-code
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                                        📋The Cloud Run user interface now allows you to copy a Cloud Run service. Handy if you want to change your platform or move to a different region.
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                                          ✏️ The user interface now also allows you to directly edit the service YAML Handy if you prefer to edit raw config files instead of clicking the nice buttons we designed for you :)
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                                            🗺️Cloud Run is now available in Osaka, Sydney and Montréal!
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                                              You can now use Cloud CDN on top of Cloud Run. By sending the right Cache-Control headers, you can drastically reduce the load on your Cloud Run service. Get Cloud CDN via External HTTP(S) Load Balancing: cloud.google.com/load-balancing/docs/negs/serverless-neg-concepts
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                                                🌎🌍🌏Expose a global endpoint that routes requests to the closest Cloud Run service by using a HTTPS Global Load Balancer. cloud.google.com/load-balancing/docs/negs/serverless-neg-concepts
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                                                  📄🚀 Set up Continuous Deployment from git to Cloud Run in just a few click in the Cloud Run UI. This flow is powered by a Cloud Build trigger that automatically builds and deploys when new changes are pushed to your repo. cloud.google.com/run/docs/continuous-deployment-with-cloud-build
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                                                    Cloud Run can now connect to Shared VPCs. Allowing you to connect to private IPs of resources from other GCP projects of the same organization. Read more: cloud.google.com/run/docs/configuring/connecting-vpc#shared-vpc
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                                                      🌏 Cloud Run is now available in Singapore (asia-southeast1)
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                                                        🔵🟢 You can now reach a specific Cloud Run revision by "tagging" it, it is then available at a dedicate URL https://[tag]---[servie-url].a.run.app This completes the gradual rollout story. Read more on the @GCPcloud blog: cloud.google.com/blog/products/serverless/cloud-run-now-supports-gradual-rollouts-and-rollbacks
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                                                          🔒Data Residency: We made it clearer that when you create a Cloud Run service in a region, your data and container stay in that region. cloud.google.com/terms/data-residency
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                                                            📄📦 When setting up Continuous Deployment from the Cloud Run user interface, you can now select a repository that contains Go, Node.js, Python Java or .NET Core code. It will be built using Google Cloud Buildpacks without needing a Dockerfile (github.com/GoogleCloudPlatform/buildpacks)
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                                                              📈 You can now pick up to 4GiB of RAM for your Cloud Run services.
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                                                                ⛩️ Introducing Google Cloud API Gateway. A fully managed gateway for your Cloud Run services. See it in action at youtu.be/Hl-wtmfJMOk Read more at cloud.google.com/api-gateway
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                                                                  We partnered with pomerium_io, an open source identity-aware proxy, to enable you to build secure internal applications on Cloud Run. cloud.google.com/community/tutorials/cloud-run-with-pomerium-for-end-user-access
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                                                                    📝 Cloud Code for VSCode and IntelliJ now has support for running your Cloud Run locally, allowing you to run or debug in an emulated environment. Blog post: cloud.google.com/blog/products/application-development/cloud-run-is-integrated-with-cloud-code
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                                                                      📺 Cloud Run now supports server-side HTTP and gRPC streaming. This means HTTP responses are not limited to 32MB anymore if you use chunked transfer-encoding.
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                                                                        🕒 From 15min to 1h! Your Cloud Run service can now take up to 3600 seconds to return a request.
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                                                                          💻💻💻💻 You can now allocate 4 vCPUs to your Cloud Run container instances.
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                                                                            🛑 Cloud Run now sends a SIGTERM signal before a container instance is shut down. If handled, CPU is allocated for 10s max This allows for graceful instance termination, giving your code some time to close any database connection or send some last telemetry data.
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                                                                              🌐 Static outbound IP: You can now route all outbound requests to your VPC network, allowing you to configure a static outbound IP address via Cloud NAT. Check out ahmetb's tutorial: cloud.google.com/run/docs/configuring/static-outbound-ip
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                                                                                ❄️🔥 Goodbye cold starts: You can now specify a minimum number of container instances to be kept warm and ready to serve requests. When they are not serving requests, CPU is 10x cheaper than normal. cloud.google.com/run/docs/configuring/min-instance
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                                                                                  🗺 Bringing Cloud Run to even more GCP regions: Hong Kong, Seoul, Jakarta, Mumbai, London, Frankfurt, Zurich, Sao Paulo. 21 regions and counting...
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                                                                                    Did you know you can purchase domain names right from the GCP console with Cloud Domains? The Cloud Run user interface now lets you to do that in context:
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                                                                                      Cloud Run now integrates out of the box with Cloud Trace, capturing request latencies, allowing you to identify latency issue easily with its trace graph:
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                                                                                        To help us shape the future of Cloud Run, participate in our research studies: g.co/userresearch/xttqs5
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                                                                                          ⛗ Each Cloud Run container instance is now able to receive up to 250 concurrent requests (default is still 80).
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                                                                                            🔎 We published a tutorial showing how to use Cloud Run revision URLs to implement previews of GitHub pull requests: cloud.google.com/run/docs/tutorials/configure-deployment-previews
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                                                                                              📄 To simplify getting started with Cloud Run, we added a single command to build and deploy your source code: $ gcloud beta run deploy --source . - If a Dockerfile is present, it's used - If not, language is automatically detected with GCP Buildpacks cloud.google.com/blog/products/serverless/build-and-deploy-an-app-to-cloud-run-with-a-single-command
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                                                                                                📈 You can now pick up to 8GiB of RAM for your Cloud Run services.
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                                                                                                  📶Cloud Run now allows to restrict ingress of your services to "internal traffic" and "internal traffic and traffic from Cloud Load Balancing". Basically disabling the default endpoint, making the service "private" from a networking perspective. cloud.google.com/run/docs/securing/ingress
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                                                                                                    ⚡️ Cloud Run now supports WebSockets, HTTP/2 and bi-directional gRPC streaming! Read more at cloud.google.com/blog/products/serverless/cloud-run-gets-websockets-http-2-and-grpc-bidirectional-streams
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                                                                                                      🗺️🥳 Cloud Run is now available in all Google Cloud regions
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                                                                                                        🇵🇱 GCP opened a new region in Warsaw, Poland. Cloud Run is available there from day 1. googlecloud/1382372305343549441
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                                                                                                          🔒 Today we are announcing 4 new security features 1. Secret Manager integration 2. Binary Authorization 3. Customer Manages Encryption Keys 4. Security Recommendations I wrote about these at cloud.google.com/blog/products/serverless/improving-the-security-of-your-cloud-run-environment
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                                                                                                            💸 Today, we’re also introducing self-service spend-based committed use discounts for Cloud Run, which let you commit for a year to spending a certain amount on Cloud Run and benefiting from a 17% discount! Read more: cloud.google.com/blog/products/serverless/introducing-committed-use-discounts-for-cloud-run
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                                                                                                              🔒 Cloud Run now supports VPC Service Controls. Allowing you to add Cloud Run services to a VPC-SC perimeter and to restrict Ingress and Egress to / from your service. Why? to manage data exfiltration risks. cloud.google.com/blog/products/serverless/cloud-run-gets-enterprise-grade-network-security-with-vpc-sc
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                                                                                                                🚀 From code to cloud in 3 words: gcloud run deploy $ gcloud run deploy now defaults to building source code from the current folder and deploying it to Cloud Run, with support for Go, Node.js, Python, Java and .NET Core, as well as Dockerfile. cloud.google.com/run/docs/deploying-source-code
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                                                                                                                  🕒 Until now, Cloud Run did not allocate CPU outside of request processing. You can now opt-into having CPU allocated for the entire lifetime of the container instances, price is different: no per-request fee and -25% on CPU / -20% on memory cloud.google.com/blog/products/serverless/cloud-run-gets-always-on-cpu-allocation
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                                                                                                                    We're experimenting with new ways to run Cloud Run services locally: $ gcloud beta code dev This command is now able to load configuration from a local YAML file:
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                                                                                                                      Cloud Run is getting a new execution environment (in Preview) with: ✅ Increased network and CPU performance ✅ Full Linux compatibility ✅ Network File System support Docs: cloud.google.com/run/docs/configuring/execution-environments Cloud Storage FUSE tutorial by AveriKitsch: cloud.google.com/run/docs/tutorials/network-filesystems-fuse
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                                                                                                                        📈 Cloud Run container instances can now be allocated up to 16GiB of RAM. $ gcloud beta run services update SERVICE --memory 16Gi
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                                                                                                                          💰 Committed use discount recommender now automatically generates recommendations to purchase Cloud Run committed use discounts based on historical usage. cloud.google.com/docs/cuds-recommender cloud.google.com/run/cud These recommendations are notably surfaced in the Cloud Run UI:
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                                                                                                                            ⚡ Cloud Functions is now powered by Cloud Run. Allowing you to benefit from all Cloud Run features like concurrency, large instances or long processing times while retaining a simple function experience. Give a try to Cloud Functions gen 2: cloud.google.com/blog/products/serverless/introducing-the-next-generation-of-cloud-functions
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                                                                                                                              ⌚️ You care about cold starts? We've added a new metric to Cloud Run that captures startup latency: time between when an instance is started and when it's ready to receive requests. This latency is primarily influenced by what your code does at startup, so now go optimize :)
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                                                                                                                                Cloud Run CPU and Memory: How is started How it's going
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                                                                                                                                1. …in reply to @steren
                                                                                                                                  ✅ You can now define service-level objectives (SLOs) for your Cloud Run services cloud.google.com/stackdriver/docs/solutions/slo-monitoring
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                                                                                                                                    Why restrict Cloud Run to request-driven services? Today at #GoogleIO, we are introducing Cloud Run jobs to execute code and containers to completion on Cloud Run. Use jobs for batch data transformation, administrative tasks or scheduled jobs. cloud.google.com/run/docs/overview/what-is-cloud-run#jobs
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                                                                                                                                      💌 Cloud Run services now support session affinity. Routing requests from the same client to the same container instance (if possible). Useful to improve in memory cache hits and when using WebSockets.
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                                                                                                                                        📰 The Cloud Run documentation now captures Terraform instructions alongside Console, Command Line and YAML: cloud.google.com/run/docs/rollouts-rollbacks-traffic-migration#terraform Find all samples at github.com/terraform-google-modules/terraform-docs-samples
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                                                                                                                                          ✅ Is the container ready to receive traffic? Cloud Run now allows you to define custom TCP and HTTP startup probes: cloud.google.com/run/docs/configuring/healthchecks
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                                                                                                                                            🛳️ Cloud Deploy now has direct support for Cloud Run. Manage the release of your container images between dev, staging and production environments: cloud.google.com/deploy/docs/run-targets
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                                                                                                                                              ⚡️ Faster cold starts for Cloud Run: Startup CPU Boost provides additional CPU during container instance startup time. We observed Java Spring Boot apps starting twice as fast with this feature enabled. cloud.google.com/run/docs/configuring/cpu#startup-boost
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                                                                                                                                                BigQuery and Cloud Run: Did you know that you can implement custom BigQuery remote functions using Cloud Run HTTP services? cloud.google.com/bigquery/docs/reference/standard-sql/remote-functions
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                                                                                                                                                  ❌Is the container healthy? If not, restart it. Cloud Run now allows to define custom HTTP liveness probes: cloud.google.com/run/docs/configuring/healthchecks#liveness-probes
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                                                                                                                                                    📊🐶 New official datadoghq instrumentation for Cloud Run just dropped! Collect logs, metrics and traces in real-time via in-container Agent: datadoghq/1578121714017468436?s=03
                                                                                                                                                    1. …in reply to @steren
                                                                                                                                                      🔒 Don't store API keys or passwords in env vars! 3 new recommendations help you secure your Cloud Run services: Move API keys and passwords to Secret Manager. Use built-in workload identity rather than copying credentials in the container. cloud.google.com/run/docs/recommender
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                                                                                                                                                        🧩 With Cloud Run integrations: - Attach a Redis cache to your Cloud Run service in one click cloud.google.com/run/docs/integrate/redis-memorystore - Replace a dozen of CLI commands to set up a custom domain using an Global External Load Balancer by 1. enter domain, 2. update DNS cloud.google.com/run/docs/integrate/custom-domain-load-balancer
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                                                                                                                                                        1. …in reply to @steren
                                                                                                                                                          🐙 Google is providing official GitHub Actions to deploy to Cloud Run: Check this video by martinomander to learn more youtube.com/watch?v=DMCi7WWTtX0
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                                                                                                                                                          1. …in reply to @steren
                                                                                                                                                            🏗️ Skaffold V2 has built-in support for Cloud Run (Skaffold is a command-line tool that facilitates continuous development and delivery for containerized applications). Blog: cloud.google.com/blog/products/application-development/skaffold-v2-is-generally-available/ Docs: skaffold.dev/docs/pipeline-stages/deployers/cloudrun/
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