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MongoDB World 2018: MongoDB and Cloud Foundry – A Match Made for the Cloud
The document discusses how MongoDB and Cloud Foundry can help address challenges with scaling applications in the cloud. It provides an overview of Cloud Foundry capabilities like service brokers and auto-scaling that help manage backing services and scale applications. It also outlines how integrating MongoDB with Cloud Foundry through Pivotal simplifies provisioning and managing MongoDB clusters in a cloud native way according to twelve factor app principles.
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MongoDB World 2018: MongoDB and Cloud Foundry – A Match Made for the Cloud
- 1. MongoDB and CloudFoundry A Match Made for the Cloud Rick Ross Advisory Platform Architect, Pivotal June, 2018 Photo By J.D. Hancock
- 2. Agenda ■ Scaling Applicationsis Hard ■ Principles for Scaling Applications ■ Cloud Foundry ■ Leveraging MongoDB ■ Demo ■ Scaling the Application ■ Cloud Native Principles ■ Questions
- 3. Where will theyrun? vSphere Openstack OnPremise AWS Google Cloud Azure Public Cloud Compute, Networking, Storage, OS, Firewalls, Monitoring, etcWhat Infrastructure? Data stores, Caching, Message Queues, etcWhat Backing Services? Tomcat, WebLogic, WebSphere, IIS, etc.What Middleware? How to scale the application? AppA AppA AppA Horizontal Scaling Scaling Questions
- 4. Scaling Applications isHard! • Never have done it before • Learn the patterns – usually through research, trial & error • Architectural & Infrastructure Decisions & Concerns • Languages, Frameworks • Clustering / Distributed Systems • High Availability • Data Store choices • Session State • And… • Deploying Applications is Hard Photo By J.D. Hancock
- 5. Cloud Native –What Does that Mean? DevOps ● Common incentives, tools, and processes builds a culture of shared responsibility. ● Collaboration is paramount. Continuous Delivery ● With automated tests, teams release early and often. ● The results: higher quality code and lower risk. ● There’s fewer bugs in production. Microservices ● Loosely coupled components help teams deploy independently. ● No more waiting for integrated test teams.
- 6. Cloud Native DrivesComplexity DevOps Continuous Delivery Microservices Development & Operational Complexity Multiple Stakeholders Rapid Pace Many Moving Parts
- 7. vSphere Openstack AWSGoogle Cloud Azure & Azure Stack Infrastructure Application Code & Frameworks Spring Boot / Spring Cloud / .NET / Steeltoe PAS Pivotal Application Service PKS Pivotal Container Service Operations (Infrastructure Automation) Contract: Cloud Provider Interface Contract: BOSH Release Pivotal Services Marketplac e Pivotal and Partner Products Containers Pre-Packaged Apps / Backing Services
- 8. Services in CloudFoundry • Backing Resource such as • Data stores, Message Queues, Caches, etc. • Managed & Unmanaged Services • BOSH Managed or Externally Managed • Service Broker • Open Service Broker API - https://www.openservicebrokerapi.org/ • Services made available to developers • Creating and Accessing Services Simplified
- 9. • MongoDB andPivotal co-engineered Cloud Foundry integration • BOSH installs the Ops Manager agent • Calls the Ops Manager API to provision, configure, monitor & backup the cluster • Enables users to integrate MongoDB as an on-demand DBaaS resource within Cloud Foundry platforms Ops Manager Cloud Foundry Integration
- 10. Atlas: The onlytrue multi-cloud database as a service Database as a service Database that runs the same everywhere Consistent experience across AWS, Azure, and GCP Coverage in any geography Deploy in over 50 regions worldwide Create globally distributed databases with a few clicks Leverage the benefits of a multi-cloud strategy Exploit the benefits of AWS, Azure, or GCP services on your data Avoid lock-in Easily migrate data between cloud providers
- 11. Spring-Person Architecture Spring-Person REST API SpringBoot (Java) Pivotal Application Service User Provided Service Atlas URI
- 12. Accessing MongoDB Atlas •IP Address Whitelisting Strategies • Internet Access via a Proxy • Limit via an Network Range • Externalize the Configuration • User Provided Service • Use External Config Service • Spring Cloud Config Photo By J.D. Hancock
- 13. I. Codebase One codebasetracked in SCM, many deploys II. Dependencies Explicitly declare and isolate dependencies III. Configuration Store config in the environment VI. Processes Execute app as stateless processes V. Build, Release, Run Strictly separate build and run stages IV. Backing Services Treat backing services as attached resources IX. Disposability Maximize robustness with fast startup and graceful shutdown VIII. Concurrency Scale out via the process model VII. Port binding Export services via port binding XII. Admin processes Run admin / mgmt tasks as one-off processes X. Dev/prod parity Keep dev, staging, prod as similar as possible XI. Logs Treat logs as event streams 12-Factor Applications http://12factor.net https://content.pivotal.io/blog/beyond-the-twelve-factor-app
- 14. I. Codebase One codebasetracked in SCM, many deploys II. Dependencies Explicitly declare and isolate dependencies III. Configuration Store config in the environment VI. Processes Execute app as stateless processes V. Build, Release, Run Strictly separate build and run stages IV. Backing Services Treat backing services as attached resources IX. Disposability Maximize robustness with fast startup and graceful shutdown VIII. Concurrency Scale out via the process model VII. Port binding Export services via port binding XII. Admin processes Run admin / mgmt tasks as one-off processes X. Dev/prod parity Keep dev, staging, prod as similar as possible XI. Logs Treat logs as event streams 12-Factor Applications http://12factor.net https://content.pivotal.io/blog/beyond-the-twelve-factor-app
- 15. I. Codebase One codebasetracked in SCM, many deploys II. Dependencies Explicitly declare and isolate dependencies III. Configuration Store config in the environment VI. Processes Execute app as stateless processes V. Build, Release, Run Strictly separate build and run stages IV. Backing Services Treat backing services as attached resources IX. Disposability Maximize robustness with fast startup and graceful shutdown VIII. Concurrency Scale out via the process model VII. Port binding Export services via port binding XII. Admin processes Run admin / mgmt tasks as one-off processes X. Dev/prod parity Keep dev, staging, prod as similar as possible XI. Logs Treat logs as event streams 12-Factor Applications http://12factor.net https://content.pivotal.io/blog/beyond-the-twelve-factor-app
- 16. I. Codebase One codebasetracked in SCM, many deploys II. Dependencies Explicitly declare and isolate dependencies III. Configuration Store config in the environment VI. Processes Execute app as stateless processes V. Build, Release, Run Strictly separate build and run stages IV. Backing Services Treat backing services as attached resources IX. Disposability Maximize robustness with fast startup and graceful shutdown VIII. Concurrency Scale out via the process model VII. Port binding Export services via port binding XII. Admin processes Run admin / mgmt tasks as one-off processes X. Dev/prod parity Keep dev, staging, prod as similar as possible XI. Logs Treat logs as event streams 12-Factor Applications http://12factor.net https://content.pivotal.io/blog/beyond-the-twelve-factor-app
- 17. I. Codebase One codebasetracked in SCM, many deploys II. Dependencies Explicitly declare and isolate dependencies III. Configuration Store config in the environment VI. Processes Execute app as stateless processes V. Build, Release, Run Strictly separate build and run stages IV. Backing Services Treat backing services as attached resources IX. Disposability Maximize robustness with fast startup and graceful shutdown VIII. Concurrency Scale out via the process model VII. Port binding Export services via port binding XII. Admin processes Run admin / mgmt tasks as one-off processes X. Dev/prod parity Keep dev, staging, prod as similar as possible XI. Logs Treat logs as event streams 12-Factor Applications http://12factor.net https://content.pivotal.io/blog/beyond-the-twelve-factor-app
- 18. Scaling Options inPivotal Cloud Foundry • Scale the Platform • Scale your applications • Manually • Auto Scaling – Via Schedule • Auto Scaling – Via Metrics • HTTP Throughput • HTTP Latency • CPU Usage • Memory Usage • RabbitMQ Depth
- 19. Where will theyrun? vSphere Openstack OnPremise AWS Google Cloud Azure Public Cloud Compute, Networking, Storage, OS, Firewalls, Monitoring, etcWhat Infrastructure? Data stores, Caching, Message Queues, etcWhat Backing Services? Tomcat, WebLogic, WebSphere, IIS, etc.What Middleware? How to scale the application? AppA AppA AppA Horizontal Scaling Answering Your Scaling Needs PAS Pivotal Application Service Autoscaler Buildpacks Cloud Provider Interface
- 20. What about Day2 Operations? • High Availability & Self-Healing • Platform • Applications • Rolling Upgrades with No Downtime • Dynamic Scaling • Security • Repair Software Vulnerabilities ASAP • Repave servers and apps from known good states • Rotate user credentials
- 21. What about Day2 Operations? • Adding Additional Cluster Capacity • High Availability • Backups • Security
- 22. Conclusion • Writing ScalableApplications is Very Hard • Unless you follow 12 Factor principles • Scaling Applications is Very Hard • Unless you are using Cloud Foundry • Scaling Data Stores is Very Hard • Unless you are using MongoDB
- 23. The image partwith relationship ID rId3 was not found in the file. Rick Ross Email: rick@rick-ross.com LinkedIn: www.linkedin.com/in/rickross App Source: http://bit.ly/MongoDBWorldSrc © C o p y r ig h t 2 0 1 8 P iv o ta l S o ftw a r e , I n c . A ll r ig h ts R e s e r v e d .