AWS VS AZURE VS GCP.pptx
- 2. Pillars of Cloud Services Scalability Availability Resiliency Management Security Infrastructure Compute Storage Networking
- 3. AWS - STEVEN HARPER 20 Years of IT / Development / Operations / Design /Architecture ● Started AWS with a Digital Migration of Europe's Biggest E-Service Platform ● Designed and deployed Hybris Retail systems into AWS ● OAuth open connect V2.0 platform into AWS ● AWS Journey 2013 -> Current ● What’s completely new ○ Lambdas, Step Functions,Cloudformation
- 4. AWS Products
- 5. Regions & Availability Zones Frankfurt (3) Ireland (3) London (3) Paris (3) São Paulo (3) Gov (US-West) (3) N. Virginia (6) Ohio (3) N. California(3) Oregon (3) Mumbai (2) Seoul (2) Singapore (3) Sydney (3) Tokyo (4) Osaka-Local (1) Canada Central(2) Beijing (2) Ningxia (3) Bahrain Hong Kong SAR, China Sweden Gov (US-East) Over 120 Edge locations
- 6. Who uses AWS All Sizes of customers - over 1,000,000 customers
- 7. Security & Compliance CloudTrail - Compliance Audits Trusted Advisor - Real-time insight Enterprise Support - Technical Account Manager (TAM) KMS - Key Management Service Cloud HSM - Hardware Security Module
- 8. ● Managed Components ○ AMI’s ○ CloudFormation Stacks ● Flexible Licensing Models ○ BYOL ○ Pay per hour
- 9. Supports Many different Languages - Lambda ○ 4.3 ○ 6.10 ○ 8.10 ○ 2.7 ○ 3.6 ○ 1.0 ○ 2.0 ○ 2.1 + Triggered by events ○ 8 ○ 1.X Amazon S3 Amazon DynamoDB Amazon Kinesis Data Streams Amazon Simple NotificationService Amazon Simple Email Service Amazon Simple Queue Service Amazon Cognito AWS CloudFormation Amazon CloudWatch Logs Amazon CloudWatchEvents AWS CodeCommit Amazon CloudWatchEvents AWS Config AmazonAlexa Amazon Lex Amazon API Gateway AWS IoT Button Amazon CloudFront Amazon Kinesis Data Firehose Invoking a Lambda Function On Demand
- 10. Databases - Choices ● RDS ○ MariaDB, Amazon Aurora, Oracle, SQL Server, PostgreSQL, MySQL ● Non Relational ○ DynamoDB ● Graph ○ Amazon Neptune ● In Memory ○ AWS Elasticache ● Data Warehousing ○ Redshift ● Migration
- 11. Instance Families Placement Groups - Allows reduced network distance ● Burstable: T (10% capacity, burst to 100%) - Free Tier ● General purpose: M ● Compute optimized: C (CPU Focused) ● Memory optimized: R, X, Z (RAM Focused) ● Storage optimized: D, H ,I (IO Focused) ● Accelerated computing: F, G, P (Hardware Acceleration Focused) t3.nano (1 vCPU, 512 MiB) <------> u-12tb1.metal (448 vCPU, 12 TiB)
- 12. VPC Separation & Low level network control ● Direct Connect ● VPN Connections ● VPN Peering ● VPC Separation ● Subnets (Private/Public) ● Security Groups ● NAT Gateways ● Virtual Private Gateways ● Network Access Control Lists ● Elastic IP’s ● Elastic Load Balancers
- 13. SQS, Kinesis, Firehose Simple Queue Service ● FIFO - only once ● Best Order - at least once Kinesis ● Massively, Scalable & Durable real-time data streaming service Firehose ● Delivery of kinesis into storage SNS, SES SES ● Email services SNS ● Topics and Subscriptions push notifications
- 14. Tooling & API’s AWS - CodeStar, CodeCommit, CodeBuild, CodeDeploy, CodePipeline Terraform / CloudFormation AWS Tools for Azure DevOps Ansible, Puppet, Chef AWS - CLI/SDK
- 15. Ease of Entry AWS Training APN Partner Training AWS Certification AWS Academy AWS Educate
- 16. The Good & The Bad GOOD ● Capability to build anything ● Ease to automate ● Constantly innovating ● Language & OS agnostic ● Huge user base ● Great support BAD ● Small components, difficult to start ● Out of Free Tier, everything costs ● No Event Bus ● AI Offering & Machine learning poor compared to other offerings ● AWS Users / Server Roles
- 17. Azure - Sherin Mathew Current - Azure Analytics Architect, IBM.GBS Background - Telecom Application Dev and BI Dev, BI Programme Delivery, Project Management, Solution Architect, Principal Consultant. Experience - near 14 years in Telecom, Healthcare, ,Housing groups and Higher Education Sector along with Police forces and ICO. My Azure Journey - Last 4 years feel like20! ➢ Healthcare - 2015-16 ➢ Higher Education 2016-18 ➢ Housing 2017-18 ➢ ICO 2017-2018 Volunteer - AI-Tech.UK, AI Tech User Group, AI Tech North 2019, SQL Pass @SMdisrupt “Disrupt the disruption!”
- 18. Azure More than 95 percent of Fortune 500 companies use Azure 120,000 New Azure Customers per month 30+ years Over three decades of experienceserving enterprise customers 68,000+ partners 70+ certifications Cloud Leader since 2015
- 19. 54 Regions
- 20. Services Compute Web & Mobile Data & Storage Analytics Integration (Hybrid and Cloud ) Internet of Things Networking Hybrid Operations Security & Management Developer Services Machine Learning and AI Support
- 22. Azure Compute Virtual Machines Windows Virtual Machines Linux VMs Virtual Machine ScaleSets Azure Batch Azure ContainerService Container Instances Azure Container Service Kubernetes Service Azure ContainerRegistry Cloud Services Service Fabric Service Fabric Mesh Azure Functions Azure Batch AI DSVM
- 25. Azure Data Storage and Analytics ➢ Machine Learning* ➢ Data LakeAnalytics* ➢ HDInsight ➢ Azure Databricks ➢ Analysis Services* ➢ Azure SQL Database ➢ Azure Data Warehouse* ➢ Azure Data Lake Store ➢ Azure Storage ➢ Azure Cosmos DB* ➢ Azure Data Factory* ➢ Event Hub ➢ Event Grid ➢ IoT hub ➢ Stream Analytics ➢ Data Catalog ➢ Data Explorer*
- 26. Azure Analytics in Action
- 27. Azure Networking ➢ Virtual Network ➢ Load Balancer ➢ Azure DNS ➢ Traffic Manager ➢ Data Gateway ➢ VPN Gateway ➢ ExpressRoute ➢ ApplicationGateway ➢ Network Watcher ➢ CDN
- 28. Azure Hybrid Integration Azure Managed Instance* DMA/DMS Azure Backup Azure Recovery Azure Storsimple Azure Sync Azure Data box* Azure Gateways AD Connect Containers Service Azure Stack
- 29. Machine Learning and AI Tools ➢ ML Studio ➢ VS Code ➢ ML.Net ➢ Azure MLPackages ➢ AI Toolkit for IoT ➢ MML Spark Frameworks ➢ CNTK ➢ ONNX ➢ TensorFlow ➢ Pytorch ➢ MXNet ➢ Caffe2 Infrastructure ➢ Azure Batch AI / DSVM ➢ AKS ➢ ADLS ➢ Databricks ➢ Spark for AzureHDinsight ➢ Edge ➢ SQL
- 30. Azure Advanced Analytics Pattern
- 31. Azure Dev and Ops Support ➢ Visual Studio Code ➢ Azure SDK ➢ Command-line tools ➢ Azure PowerShell ➢ Azure Command-Line Interface (Azure CLI) ➢ Storage Explorer ➢ Visual Studio Tools for Azure ➢ Visual Studio for Mac ➢ Docker Tools ➢ Azure Portal! ➢ DevOps ➢ OMS and log analytics Build cloud apps for Java, Node, Python, Ruby, PHP or .NET T-SQL!
- 32. Security and Compliance ➢ Azure AD ➢ Subscription Security - IAM and RBAC ➢ Operational Security - Advanced Threat Detection, Auditing and Logging, OMS ➢ Network Security ➢ Compute Security ➢ Key Security ➢ Data Security ➢ Identity and Information Protection ➢ Security Centre ➢ 70+ Global, Government, Industry and Regional Compliances inc GDPR
- 33. Azure - What's Different Regions Nature of Integration Hybrid Development platform Reporting platform Support TCO PaaS Power Easier - Everything Documentation Community IP Ethos and Philosophy
- 34. Azure - Good and Bad Positives ● True Trusted Enterprise ● Dominance in Paas, ML, Analytics, IoT,PowerBI ● Maturity - Cloud Leader since2015 ● Great Dev and Test support andtools ● Works well in Windows or Microsoftenvironment ● Agility and commitment ● Great knowledgeable support ● 54 regions and Data box! ● Clear consideration for .NET. ● Open Source integration ● Hybrid consistency Negatives ● Maturity in Prod and Enterprise islow ● Cross platform ● Devops for some services can betricky ● Free and Preview services ● Quick Releases, changes andupdates
- 35. Google Cloud Platform -James Heggs Tech Returners - https://techreturners.com Background 10+ years Software DevelopmentSaaS Discovered the world of DevOps for improving delivery of ouroperations One of those‘ooh shiny new things’ types of Techies Experience Software development largely in web application and SaaS platforms Migration from on-premise virtualisation to cloud based environments Big fan of containerisation and Kubernetesorchestration Very big fan of Continuous deployment and deployment pipelining CNCF/Open source adoption tooling and infrastructure automation GCP Journey Used in anger only really the past 6-12months Decided to try a largely PaaS based approach for the construction of software for a startup
- 36. 40 The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams. Google Cloud Platform Icons Identity & Security Cloud IAM Cloud Resource Cloud Security Key Cloud Security Manager Scanner Management Command Service Center BeyondCorp Pr Data Loss PI Identity-AwareSecurity Key evention A Proxy Enforcement Big Data BigQuery Cloud Dataflow Cloud Dataproc Cloud Dataprep Cloud Datalab Cloud Pub/Sub Genomics Cloud Composer Cloud AI Cloud Machine Learning Engine Cloud Vision API Cloud Speech-to-Text Cloud Video Cloud Intelligence AutoML API Cloud TPU Cloud Natural Language API Cloud Translation API Cloud JobsAPI Advanced Cloud Solutions Lab Text-to-Speech Dialogflow Enterprise Edition Compute Compute App Kubernetes Engine Engine Engine GPU F Cloud s Container- unction OptimizedOS Data Transfer Transfer Appliance
- 37. 41 The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams. Networking Virtual Private Cloud CloudLoad Balancing Cloud CDN Dedicated Interconnect CloudDNS Cloud Network Cloud ExternalIP Addresses Cloud Firewall Rules Cloud Routes Cloud VPN Management Tools Stackdriver Monitoring Logging Error Reporting Trace Debugger Cloud Deployment Manager Cloud APIs Cloud Console Cloud Shell Cloud Mobile App Cloud BillingAPI Profiler Cloud Router Partner Interconnect Cloud Armor Standard NetworkTier Premium NetworkTier Google Cloud Platform Icons
- 38. 42 The Products logos contained in this icon library may be used freely and without permission to accurately reference Google's technology and tools, for instance in books or architecture diagrams. Developer Tools Cloud SDK Cloud Source Repositories Maven App EnginePlugin CloudTools forIntelliJ Cloud Tools for PowerShell Cloud Toolsfor Visual Studio Container Registry CloudTools for Eclipse Cloud Build API Platform &Ecosystems API Analytics API Monetization ApigeeAPI Platform Apigee Sense Cloud Endpoints Developer Portal Gradle App EnginePlugin IDEplugins Internet of Things CloudIoT Core CloudIoT Edge Storage &Databases Cloud Storage Cloud Bigtable Cloud Datastore Cloud SQL Cloud Spanner Persistent Disk Cloud Memorystore Google Cloud Platform Icons Cloud Filestore Cloud TestLab
- 40. Network
- 41. Where is GCP going Totally ripped off this slide -Yoink! Thanks Steven
- 42. Pricing
- 43. Always Free
- 44. Google Cloud Platform - Machine Learning and AI ● Developer readyAPI’s ○ Vision API - Image ContentAnalysis ○ Cloud speech to text ○ Cloud text to speech ○ Cloud natural languageprocessing ● Firebase PredictionsAPI ○ https://firebase.google.com/products/predictions/ ● DialogFlow ○ ChatBot (Conversational Interfaces and leverages GoogleML) ○ Google Cloud FunctionsReady ○ Multi Language Support ● More control - Cloud Machine Learning Engine or Cloud TPU’s ○ TensorFlow Model Creation ○ Access to high throughput/specmachines
- 45. Google Cloud Platform - Machine Learning - Cloud TPU
- 46. Google Cloud Platform - Databases ● Cloud SQL ○ MySQL or Postgres ● BigTable ○ Low latency ○ Useful for AdTech (instantresponse) ○ NoSQL ● Cloud Spanner ○ Mission Critical RelationalDatabase ○ Transactional ○ Powers Google Search ● Lots of others like: ○ Cloud Datastore ○ Cloud Firestore ○ Firebase Realtime Database
- 47. Google Cloud Platform - Databases
- 48. Google Cloud Platform - Serverless ● https://cloud.google.com/serverless/ ● Cloud Functions ○ Less language coverage than AWSLambda ○ Only recently out of Beta ● App Engine ○ Essentially bundle your apps (EG. Express) automatically in to Docker containers and deploy ● Cloud Pub/Sub ○ Like SNS - Message Architecture - ZeroConfig ● Kubernetes Engine ServerlessAddOn ○ Run your own Kubernetes cluster whilst providing ability to deploy serverless apps to it ● Cloud Build ○ Serverless build and deploymentpipelines
- 49. Google Cloud Platform - Kubernetes - OOTB + On-Prem
- 50. Google Cloud Platform -The Good and The Bad Good Bad GCP Product Strategy GCP Product Strategy Developer ready - PaaS,Serverless, Firebase Cloud functions languagecoverage Machine Deep Learning made(slightly) accessible Less documentation of lower levelconfig like VPC, Security Serverless OfferingGrowing IAM and Service Accounts