Mailchimp to the Edge - Establishing Akamai Best Practices at Mailchimp
- 2. Proprietary& Confidential 2019 Mailchimp to the Edge: Establishing Best Akamai Practices @Mailchimp 2019 Bob Strecansky https://bobstrecansky.com @bobstrecansky 2
- 4. Proprietary& Confidential 2019 Kubernetes & Akamai Continuous Integration & Continuous Deployment with Akamai BigQuery as an Ingestion Point for CloudMonitor 4 Agenda
- 5. Proprietary& Confidential 2019 Kubernetes & Akamai Continuous Integration & Continuous Deployment with Akamai BigQuery as an Ingestion Point for Datastream 5 Agenda
- 6. Proprietary& Confidential 2019 Kubernetes & Akamai Continuous Integration & Continuous Deployment with Akamai BigQuery as an Ingestion Point for Datastream 6 Agenda
- 7. Proprietary& Confidential 2019 7 Kubernetes and Akamai
- 8. Proprietary& Confidential 2019 Kubernetes Glossary Kubernetes Glossary: https://kubernetes.io/docs/reference/glossary/?fundamental=true Container A lightweight and portable executable image that contains software and all of its dependencies. Pod The smallestand simplest Kubernetes object.A Pod represents a set of running containers on your cluster. Node A node is a worker machine in Kubernetes. Cluster A set of machines, callednodes, that run containerized applications managed by Kubernetes.
- 9. Proprietary& Confidential 2019 Kubernetes Glossary Kubernetes Glossary: https://kubernetes.io/docs/reference/glossary/?fundamental=true Container A lightweight and portable executable image that contains software and all of its dependencies. Pod The smallestand simplest Kubernetes object.A Pod represents a set of running containers on your cluster. Node A node is a worker machine in Kubernetes. Cluster A set of machines, callednodes, that run containerized applications managedby Kubernetes.
- 10. Proprietary& Confidential 2019 Kubernetes Glossary Kubernetes Glossary: https://kubernetes.io/docs/reference/glossary/?fundamental=true Container A lightweight and portable executable image that contains software and all of its dependencies. Pod The smallestand simplest Kubernetes object.A Pod represents a set of running containers on your cluster. Node A node is a worker machine in Kubernetes. Cluster A set of machines, callednodes, that run containerized applications managed by Kubernetes.
- 11. Proprietary& Confidential 2019 Kubernetes Glossary Kubernetes Glossary: https://kubernetes.io/docs/reference/glossary/?fundamental=true Container A lightweight and portable executable image that contains software and all of its dependencies. Pod The smallestand simplest Kubernetes object.A Pod represents a set of running containers on your cluster. Node A node is a worker machine in Kubernetes. Cluster A set of machines, callednodes, that run containerized applications managed by Kubernetes.
- 12. Proprietary& Confidential 2019 12 Why Kubernetes?
- 13. Proprietary& Confidential 2019 Separation of Operation and Development Concerns Servicing PlatformObservability ResourceIsolation ResourceSharing Using Kubernetes with Akamai 13 Kubernetes & Akamai
- 15. Proprietary& Confidential 2019 Separation of Operation and Development Concerns Servicing PlatformObservability ResourceIsolation ResourceSharing Using Kubernetes with Akamai 15 Kubernetes & Akamai
- 16. Proprietary& Confidential 2019 Separation of Operation and Development Concerns Servicing PlatformObservability ResourceIsolation ResourceSharing Using Kubernetes with Akamai 16 Kubernetes & Akamai
- 24. Proprietary& Confidential 2019 Separation of Operation and Development Concerns Servicing PlatformObservability ResourceIsolation ResourceSharing Using Kubernetes with Akamai 24 Kubernetes & Akamai
- 26. Proprietary& Confidential 2019 Separation of Operation and Development Concerns Servicing PlatformObservability ResourceIsolation ResourceSharing Using Kubernetes with Akamai 26 Kubernetes & Akamai
- 32. Proprietary& Confidential 2019 Separation of Operation and Development Concerns Servicing PlatformObservability ResourceIsolation ResourceSharing Using Kubernetes With Akamai 32 Kubernetes & Akamai
- 37. Proprietary& Confidential 2019 Something happened here.
- 41. Proprietary& Confidential 2019 41 Continuous Integration & Continuous Delivery
- 42. Proprietary& Confidential 2019 Deploying a Monolith 100 times per day without worry Enabling the marketing department with the Edge Redirector cloudlet Build a large new marketing site Using Akamai’s FastDNS API to update our customers 42 Continuous Integration and Continuous Delivery
- 43. Proprietary& Confidential 2019 Deploying a Monolith 100 times per day without worry Enabling the marketing department with the Edge Redirector cloudlet Build a large new marketing site Using Akamai’s FastDNS API to update our customers 43 Continuous Integration and Continuous Delivery
- 46. Proprietary& Confidential 2019 Deploying a Monolith 100 times per day without worry Enabling the marketing department with the Edge Redirector cloudlet Build a large new marketing site Using Akamai’s FastDNS API to update our customers 46 Continuous Integration and Continuous Delivery
- 48. Proprietary& Confidential 2019 Deploying a Monolith 100 times per day without worry Enabling the marketing department with the Edge Redirector cloudlet Build a large new marketing site Using Akamai’s FastDNS API to update our customers 48 Continuous Integration and Continuous Delivery
- 50. Proprietary& Confidential 2019 Deploying a Monolith 100 times per day without worry Enabling the marketing department with the Edge Redirector cloudlet Build a large new marketing site Using Akamai’s FastDNS API to update our customers 50 Continuous Integration and Continuous Delivery
- 52. Proprietary& Confidential 2019 52 BigQuery as an Ingestion Point for Datastream
- 53. Proprietary& Confidential 2019 Google Cloud Platform Glossary App Engine Managed application platform Cloud Pub/Sub Global real time messaging Cloud Dataflow Streaming or batch data processing Google Cloud Storage (GCS) Object storage and serving BigQuery Data warehouseand analytics with built in machine learning Google Cloud PlatformGlossary: https://cloud.google.com/docs
- 54. Proprietary& Confidential 2019 App Engine Managed application platform Cloud Pub/Sub Global real time messaging Cloud Dataflow Streaming or batch data processing Google Cloud Storage (GCS) Object storage and serving BigQuery Data warehouseand analytics with built in machine learning Google Cloud PlatformGlossary: https://cloud.google.com/docs Google Cloud Platform Glossary
- 55. Proprietary& Confidential 2019 App Engine Managed application platform Cloud Pub/Sub Global real time messaging Cloud Dataflow Streaming or batch data processing Google Cloud Storage (GCS) Object storage and serving BigQuery Data warehouseand analytics with built in machine learning Google Cloud PlatformGlossary: https://cloud.google.com/docs Google Cloud Platform Glossary
- 56. Proprietary& Confidential 2019 App Engine Managed application platform Cloud Pub/Sub Global real time messaging Cloud Dataflow Streaming or batch data processing Google Cloud Storage (GCS) Object storage and serving BigQuery Data warehouseand analytics with built in machine learning Google Cloud PlatformGlossary: https://cloud.google.com/docs Google Cloud Platform Glossary
- 57. Proprietary& Confidential 2019 App Engine Managed application platform Cloud Pub/Sub Global real time messaging Cloud Dataflow Streaming or batch data processing Google Cloud Storage (GCS) Object storage and serving BigQuery Data warehouseand analytics with built in machine learning Google Cloud PlatformGlossary: https://cloud.google.com/docs Google Cloud Platform Glossary
- 59. Proprietary& Confidential 2019 Ingesting Data into BigQuery in near real time with app engine Being able to query our entire datasetin a very short timespan Use business intelligencedata to drive decisions 59 BigQuery as an Ingestion Point for Datastream
- 64. Proprietary& Confidential 2019 Ingesting Data into BigQuery in near real time with app engine Being able to query our entire datasetin a very short timespan Use business intelligencedata to drive decisions 64 BigQuery as an Ingestion Point for Datastream
- 66. Proprietary& Confidential 2019 Ingesting Data into BigQuery in near real time with app engine Being able to query our entire datasetin a very short timespan Use business intelligencedata to drive decisions 66 BigQuery as an Ingestion Point for Datastream
- 68. Proprietary& Confidential 2019 Ingesting Data into BigQuery in near real time with app engine Being able to query our entire datasetin a very short timespan Use business intelligencedata to drive decisions 68 BigQuery as an Ingestion Point for Datastream
- 70. Proprietary& Confidential 2019 Ingesting Data into BigQuery in near real time with app engine Being able to query our entire datasetin a very short timespan Use business intelligencedata to drive decisions 70 BigQuery as an Ingestion Point for Datastream
- 71. Proprietary& Confidential 2019 Kubernetes & Akamai Continuous Integration & Continuous Deployment with Akamai BigQuery as an Ingestion Point for Datastream 71 Summary
- 72. Proprietary& Confidential 2019 Thank you. 72 https://bobstrecansky.com/edge19/slides/