Cloud Run... everything you need without K8S - Cloud Sud

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Cloud Run… everything you need without K8S Cloud Sud

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Julien Landuré @jlandure jlandure.dev Google Developer Expert - Cloud CTO Group - Zenika GDG Cloud Nantes & DevFest Organizer devfest.gdgnantes.com

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Back to the future...

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App Engine in 2010

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App Engine One of the first PaaS Limited runtimes Need specific libraries Vendor lock in Easy deployment Custom domain name Traffic splitting between versions Embed a stateful solution (datastore) Automatic CDN Scaling from 0 to N

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Value x Complexity

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App Engine

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Containerization

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Docker in 2016

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Docker Universal package manager Dockerfile syntax Installation of Docker & CLI Daemon options & linux concepts Security Open Source Reproductible & ephemeral concepts Work with any runtime Start containers quickly Very Popular: many images & cloud services available

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Value x Complexity

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No content

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2017: AKS & EKS 2016: Kubernetes adoption by CNCF 2015: GKE 2014: Kubernetes 2013: Docker 2008: LXC 2007: cgroups

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Orchestration

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Kubernetes in 2018

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Kubernetes Container orchestration at scale New concepts: pods, services etc. Yaml syntax Popular: well documented Supported by all cloud providers Made to solve scaling issues Pet vs Cattle Desired State vs Actual State

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Value x Complexity

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Wait! Kubernetes can do so much...

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Kubernetes… again Container orchestration at scale Automated rollouts and rollbacks Health checking Load Balancing Custom domain & traffic splitting with Traefik Service Mesh with Istio Scale from 0 with Knative or KEDA Runtime security with Falco Upgrade components Stateful objects Backup Security IAM Pricing

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Value x Complexity

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Kubernetes

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Serverless

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Cloud Run in 2019 Cloud Functions App Engine Cloud Run

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Cloud Run One of the first serverless container solution HTTP only (gRPC) Need IaC to deploy a complete infra Container contract - Listen on 0.0.0.0 - HTTP server must start < 4 min - Request time < 60 min - Stateless - No background activity Pricing Model Easy deployment Custom domain name Traffic splitting between versions Portability of containers Buildpacks available Scaling from 0 to N No vendor lock in with Knative

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Value x Complexity

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Serverless computing refers to the concept of building and running applications that do not require server management. It describes a finer-grained deployment model where applications, bundled as one or more functions, are uploaded to a platform and then executed, scaled, and billed in response to the exact demand needed at the moment. Serverless definition https://github.com/cncf/wg-serverless/tree/master/whitepapers/serverless-overview

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Value x Complexity

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Cloud Run

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Virtual Machine OS Application Runtime Application Virtual Hardware Dedicated Server OS Application Runtime Application Virtual Hardware Containers OS Application Runtime Application Virtual Hardware Functions Functions Functions Application Platform OS Application Runtime Application Virtual Hardware Functions Serverless OS Application Runtime Application Virtual Hardware Functions Infrastructure Container Platform Function Compute Engine Kubernetes Engine App Engine Cloud Functions On-Premises Serverless Zone Physical Hardware Cloud Run

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Containers Any language Any library Any binary Ecosystem of base images .js .rb .go .py .sh … 0 1 0 1 0 0 1 1 1

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Cloud Run Fully managed, deploy your workloads and don’t see the cluster. Cloud Run on Anthos Deploy into Anthos, run serverless side-by-side with your existing workloads. Knative Everywhere Use the same APIs and tooling anywhere you run Kubernetes with Knative. Serverless containers with Knative & Cloud Run

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Container contract Listen on 0.0.0.0 on port $PORT (default 8080) HTTP server must start < 4 min (timeout → 504) Request time < 60 min (default → 5 min) Stateless (in-memory file system, doesn’t persist) Computation only within request (No background activity)

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Container resources 1 vCPU per container instance (configurable to 4vCPU) 512 MiB of memory up to a max of 8 GiB (configurable) 80 concurrent requests per container (configurable 1-1000) 1000 max containers by default (configurable 1-1000) Access to a Metadata Server Sandboxed by gVisor

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Pay per use CPU / Memory / Requests 100ms Pay per use

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Good fit? Constraints? Good ﬁt Stateless HTTP request-response workloads Scale: way up, down to zero, bursty Any runtime: any language, any dependencies, etc Constraints Must use containers No background tasks

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Demo 🤞

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● Cloud Run covers the majority of app use cases ● One of the TOP project Google Cloud ● Replacement of my beloved App Engine ● Interoperable (supported by Knative/eventing) ● Superior Dev Experience (local emulator & buildpacks) My point of view

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Serverless trends State of Serverless 2020 report

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● 👍 Kubernetes and Serverless can support each other ● 😱 Serverless container solutions are the future Cloud Run is one of the TOP project Google Cloud Release of AWS App Runner & Preview of Azure Container Instance ● 💪 The right tool to do the right thing ● 🤔 Find your way: more a Dev (Serverless World) or an Admin (K8S World) To sum up

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Thank You! Julien Landuré @jlandure jlandure.dev