Case Studies
EHR Healthcare — https://services.google.com/fh/files/blogs/master_case_study_ehr_healthcare.pdf EHR Healthcare is a leading provider of electronic health record software to the medical industry. EHR Healthcare provides their software as a service to multi-national medical offices, hospitals, and insurance providers.
Problem Statement:- Cloud Architecture for on-prem to cloud migration solution & scale problem
Solution:
Infrastructure
Google’s IaaS and PaaS solution for data canters, Global VPC Multi-regional replication for DR Hybrid Connectivity — Cloud Interconnect (99.99% uptime SLA), Cloud VPN Dedicated Interconnect for high performance connection between on-premises and GCP Applications
Kubernetes Deployment — GKE Cloud and On-premise container based environments management and integration — Anthos Future API based integration — Apigee Predictions — AI Platform Data Ingestion — Streaming (Pub/Sub), Batch (Cloud Storage) Process — Dataflow, Cloud Composer Databases
MySQL, MS SQL — Cloud SQL Redis — Cloud Memorystore MongoDB — Cloud Firestore Monitoring
Cloud Monitoring — Alerts and notifications, Charts and dashboards
Cloud Logging — Automatically ingest audit and platform logs, manage retention and policies.
Continuous Deployment
Use Terraform for Infrastructure as Code Use Cloud Source Repositories for storing the source code Use Cloud Build for deployment and orchestration. Use Artifact Registry for container images
- Helicopter Racing League- https://services.google.com/fh/files/blogs/master_case_study_helicopter_racing_league.pdf
Helicopter Racing League (HRL) is a global sports league for competitive helicopter racing. Each year HRL holds the world championship and several regional league competitions where teams compete to earn a spot in the world championship. HRL offers a paid service to stream the races all over the world with live telemetry and predictions throughout each race.
Problem Statement:-Cloud AI & ML, telemetry and streaming problem
Solution:
Transcoding
Use Preemptible instance for VM based encoding solution Containerise the encoding solution and manage using Kubernetes engine. TV Box Telemetry
App Engine, Pub/Sub, Dataflow, BigQuery, Cloud Composer and Cloud Monitoring increase telemetry and create additional insights. Live Video Latency
Use HA configuration of Cloud VPN for connectivity between mobile data centers and google cloud. Use Cloud CDN for delivering content with speed, efficiency and reliability closer to the users. Use Cloud Storage with multi-regional buckets to serve contents. Use PerfKit Benchmarker to get visibility into metrics like latency, throughput, and jitter. Google Cloud offers Network Intelligence Center for comprehensive and proactive monitoring, troubleshooting, and optimization capabilities AI & ML
Use AI platform for predictive efficiency Use TensorFlow Deep Learning VM instances Analytics
Use BigQuery as a data mart for processing of large volume of data. Use Looker for embedded analytics. Big Query streaming API and ML solution can create additional insights for increasing fan engagements.
TerramEarth manufactures heavy equipment for the mining and agricultural industries.. They currently have over 500 dealers and service centers in 100 countries. There are 2 million TerramEarth vehicles in operation currently, and they see 20% yearly growth. Their mission is to build products that make their customers more productive.
Problem Statement:- Cloud Automation, Operations and API Ecosystem problem
Solution:
Data Replication:
Stream critical data from vehicles to Cloud Bigtable to drive analytics in real time. Sensor Device -> HTTPS Gateway Device -> Pub/Sub -> Dataflow -> Bigtable -> GKE (Application & Presentation) BigQuery partitioning by timestamp for Home base upload and unified analytics. Data processing
Cloud Dataflow for serverless unified (batch & stream) ETL ML Engine or AutoML Tables
Use Vertex AI for ML lifecycle to forecast anticipated stock needs to assist with just-in-time repairs. Vehicles — Home Base Connected
Device management & upload
Cloud IoT Core IoT devices -> Cloud Pub/Sub Cloud Dataflow -> Cloud Storage Cloud Operations:
Managed and Serverless services Network Intelligence Center for for monitoring, verification and optimization. Network Connectivity Center & Security Command Center for holistic security view. Cloud Monitoring for real time visibility Google Cloud KMS for Key Management API’s ecosystem:
Apigee (X) to manage and monitor APIs, it create an abstraction layer to connect to different interfaces. Apigee Developer Portal lets you build a self service portal for internal and external developers. Build and Deploy API’s on Google Kubernetes Engine CICD:
Use Cloud Source Repository, Artifact Repository, Cloud Build for CICD operations. Use Spinnaker to deploy on Kubernetes with Blue Green and Canary deployments. Remote Workforce:
G Suite with integrated Cloud IAM. Cloud Data Loss Prevention for sensitive data protection. Use Connected sheets with BigQuery to collaborate with integrated security controls.
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They have recently started expanding to other platforms after successfully migrating their on-premises environments to Google Cloud. Mountkirk Games is building a new multiplayer game that they expect to be very popular.
Problem Statement:- Cloud Auto-scaling, Gaming analytics Problem
Solution:
Cloud Spanner with relational features, horizontal scaling and 99.999% availability across regions. Google Kubernetes Engine(GKE) to deploy game’s backend as microservices Google Load Balancing for worldwide seamless autoscaling Pub/Sub, Dataflow and BigQuery for Stream analytics Looker for player insights and analytics GPUs hardware accelerators on GKE. Cloud Datastore for transactional game state Cloud Storage for storing game activity logs and analysed using BigQuery Cloud Pub/Sub for buffering of live and late data Cloud Dataflow for bulk and stream processing BigQuery for storage and analytics; this can also contain the 10 TB historic data Managed and Serverless services for dynamic scaling, minimal cost and operations. Cloud Operations metrics and APM functionality for proactive troubleshooting.