Quelle compétition est possible entre les 3 principaux clouders publics ?

Quelle compétition est possible entre les 3 principaux clouders publics ?

Transcript

1. QUELLE COMPÉTITION EST POSSIBLE ENTRE LES 3 PRINCIPAUX CLOUDERS PUBLICS ? OLIVIER DUPRE - @OlivierDupreTec TONY JARRIAULT - @jarriaultTony LAURENT GRANGEAU - @laurentgrangeau
2. #LifeAtSogeti Olivier Dupré Preparing AWS & GCP certifications Tony Jarriault AWS Pro certified Laurent Grangeau Microsoft MVP Docker and AWS Certified
3. Objective: Compete with our skills and knowledge to see more clearly in the giant ecosystem of public clouds.
4. AWS Historical cloud leader with EC2, S3 & SQS Started in 2006 Azure Historical enterprise partner with Windows & Office 365 Started in 2010 with SQL GCP Challenger since 2011 Launched AppEngine in 2008 Launched GKE in 2014 Market Penetration
5. Which cloud ?
6. AWS : Iaas Azure : PaaS GCP : Containers / Data / ML
7. IaaS
8. Fear the rules • GDPR, Patriot Act, Cloud Act GCP ✔ No DC in France nor Africa ✔ No POP in Finland → using MPLS AWS & Azure (DC) ✔ France: Marseille & Paris ✔ Africa: Johannesburg & Cape Town Location
9. AWS • VPC or VNet are regional Azure • Hub & Spoke or Full Mesh topologies GCP • VPC is global ◦ Firewall rules based on tags/labelling Network Not transitive
10. AWS & Azure • VPC or VNet are regional Azure • Hub & Spoke or Full Mesh topologies GCP • VPC is global ◦ Firewall rules based on tags/labelling Network
11. SLA • AWS & Azure ◦ No SLA on VM ◦ SLA on network / connectivity (99,99%) • GCP ◦ SLA on VM & Network / connectivity (99,99%) Quality / Availability HA & Fault Tolerance • AWS & GCP ◦ Distribute VM across AZ ▪ enhance availability ▪ enable HA or Fault Tolerance • Azure ◦ Availability Set do it for you
12. No leader The three provide: • Block Storage at OS level • File & Object Storage at application/API levels Object storage from Short Term → Long Term → Tape • New protocol created by AWS: S3 ◦ API became a standard de facto • Policies to migrate automatically to cheaper storage Storage : No limit Free to add data, cheap to store, expensive to retrieve Storage
13. AWS & GCP •Network availability: 99.99% oStorage availability: from 99.0% to 99.99% (depending on storage classes) AWS Refund up to 100% GCP Refund up to 50% •Storage durability: 11 9’s Means replicated at least 3 times SLO & SLA - Everything fails, all the time (Werner Voegels) Azure •Network availability: Starts at 95% oStorage availability: 98.0% to 99.99% (depending on classes) (economy !?) Azure Refund up to 100% oStorage durability: from 11 to 16 9’s
14. AWS & Azure GCP
15. CaaS #Hashtag @twitter
16. Started with ECS + Fargate (firecracker) ✔ VPC & Subnet isolation ✔ Multitenancy Late release of EKS --2018 in US Enables fully shutting down a cluster easily Optimizes cost CI/CD… needs custom integration with Lambda Allows different scaling pools with pain CaaS - AWS
17. Came late with AKS (Oct 2017) and ACI (Azure Container Instances) Max 400 nodes / 8 pools (GPU, CPU, …) No private cluster, no access to master, no HTTPS for API access on master Perfect integration with Gitlab & Azure DevOps integration channel: •Service Account, •Namespace •Environment CaaS - Azure
18. Multi-pools Max 5000 nodes Autoscaling on K8S metrics CloudRun for serverless Free of charge if free of workload Smoothly integrates with Gitlab.com & CloudBuild KaaS – GCP (K8S first contributor)
19. Micro-services leads to Death Star architecture → Needs Service Mesh
20. AWS: App Mesh • Fargate + ECS & EKS only • Runs outside of the cluster Azure: Service Fabric Mesh • capability added to Service Fabric • incompatible with K8S • Native integration with dev. pipelines • Azure SMI: brand new spec for SM GCP: Istio • Leader • Wider adoption • Works “virtually” everywhere • Runs inside the cluster
21. PaaS #Hashtag @twitter
22. AWS: 2014 Lambda Supported language: Node.js / Python / Java / C# / Go / Ruby / Powershell Azure: 2016 Azure cloud functions Numerous supported language: dotNet / PHP / Java / Javascript / Python / Typescript / Bash GCP: 2016 Cloud functions Few supported language: Javascript / Python / Go CloudRun Runs any image Serverless ❖ Deploy applications by running functions on-demand, without requiring an execution environment to be running constantly. ❖ No server maintenance
23. Hybrid
24. Azure Stack in 2017 Azure Arc since November 2019 •The leader : Greater coverage of services •Kubernetes (multi-cloud) •Infrastructure •Pricing : In previous mode Pay-as-you-go package in use •Operations done by you or service provider Hybrid - Azure
25. GCP Anthos •Release in progress •Relies on VMWare •Implies minimum workload ◦ Expensive ◦ Complex deployment •Container everywhere ◦ GKE ◦ Istio ◦ CI/CD •Marketplace Hybrid - GCP
26. AWS RDS extended on VMWARE (vsphere) AWS Outpost When: late 2019 ◦To do What ? For the ELB / ECS / EKS / EMR /(big data) / RDS •Appliance including PaaS •VMWare or equivalent based •Unknown pricing •Operations done by AWS •Compliant Vmware API Hybrid - AWS
27. In the end what do we have? #Hashtag @twitter
28. AWS •Global Reach •Innovation •Long life reliable services •Wide range of services •Very large set of ML/IA services •IaaS oriented Clouder Strengths AZURE •Hybrid solution •Easiest migration •Great for windows-based organizations •Dev & PaaS oriented GCP •Mastery container model •AZ eco-conscious option •ML research / Best algo for ML/IA •StackDriver •Dev & Container oriented
29. Thank you for attending!!! OLIVIER DUPRE - @OlivierDupreTec TONY JARRIAULT - @jarriaultTony LAURENT GRANGEAU - @laurentgrangeau
30. Everyone knows these 3 major public clouds. But... what do they really have in common? What are their major differences? Is the choice for one of the 3 a question of heart, available skills or technical abilities?
31. It already takes more than a day to go through each of these platforms. So going around the 3 in an exhaustive way during a talk is utopian. We will therefore get to the point and focus on the major services, the most used and for which the comparison is the most interesting.
32. Beyond our certifications, all 3 of us are part of the Cloud & Technos department of Capgemini Sogeti ATS and work necessarily, every day, in these environments. Without ever drawing a tight line between our playgrounds with the objective of challenging ourselves on a daily basis on the implementation of good practices.
33. Security : IAM #Hashtag @twitter
34. • Is that truly necessary to identify users and grant different access? • Trust over control AWS •Cognito •Directory service •TrustAdvisor •1 out of 5 major pilars GCP •Directory Management •Cloud identity . Directory Service pour tous Azure •Active Directory •Windows based •Easily breakable IAM
35. Logging / Monitoring / supervision #Hashtag @twitter
36. GCP •Stackdriver ◦All in one solution ◦Enables hot logging Azure •AzureMon All in one solution? AWS •CloudTrail •CloudWatch •Xray Monitoring
37. ML & AI
38. AWS • SageMaker • Comprehend • Lex • Polly • Rekognition • Machine Learning • Translate • Transcribe • DeepLens • Deep Learning AMIs • Apache MXNet on AWS • TensorFlow on AWS ML / IA #Hashtag @twitter AZURE • Machine Learning • Azure Bot Service • Cognitive Services GCP • Cloud Machine Learning Engine • Dialogflow Enterprise Edition • Cloud Natural Language • Cloud Speech API • Cloud Translation API • Cloud Video Intelligence • Cloud Job Discovery (Private Beta)
39. Who knows something on that? Should we just skip that? ML & AI
40. IOT #Hashtag @twitter
41. AWS • IoT Core • FreeRTOS • Greengrass • IoT 1-Click • IoT Analytics • IoT Button • IoT Device Defender • IoT Device Management IOT: Everywhere / Billion of devices AZURE • IoT Hub • IoT Edge • Stream Analytics • Time Series Insights GCP • Iot core