Final_CloudEventFrankfurt2017 (1).pdf
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The document outlines an agenda for a MongoDB event in Frankfurt on November 30th 2017. The agenda includes introductions, implementing a cloud-based data strategy, best practices for migrating from RDBMS to MongoDB, how MongoDB can provide support, and a Q&A session. It also lists the speakers which include representatives from MongoDB and Bosch Software Innovations.
![The Document Model
RDBMS
{
first_name: ‘Paul’,
surname: ‘Miller’,
city: ‘London’,
location: {
type : ‘Point’,
coordinates : [45.123,47.232]
},
cars: [
{ model: ‘Bentley’,
year: 1973,
value: 100000, … },
{ model: ‘Rolls Royce’,
year: 1965,
value: 330000, … }
]
}
MongoDB](https://image.slidesharecdn.com/final-cloudeventfrankfurt2017-607f5541-9489-40c3-a244-99e3f4fdfb61-1023970563-171211140330/85/Final_CloudEventFrankfurt2017-1-pdf-21-320.jpg)
Final_CloudEventFrankfurt2017 (1).pdf
- 1. www.mongodb.com MongoDB Frankfurt November 30th 2017 Schnellere Digitalisierung mit einer cloudbasierten Datenstrategie With the participation of:
- 2. • Begrüßung und Einführung • Umsetzung einer cloudbasierten Datenstrategie • Best Practices Migration RDBMS zu MongoDB • Wie MongoDB unterstützen kann • Q&A und Networking Agenda
- 3. Your Speakers today: André Thelen Regional Director DACH, MongoDB Dr. Christian Kurze Senior Solutions Architect, MongoDB Dirk Slama Vice President Bosch Software Innovations
- 4. • Begrüßung und Einführung • Umsetzung einer cloudbasierten Datenstrategie • Best Practices Migration RDBMS zu MongoDB • Wie MongoDB unterstützen kann • Q&A und Networking Agenda
- 5. 40% 6% 30% 23% Align operational expenditure with value Scale to new geographies and markets Lack the required in-house expertise Reduce time to market and faster app delivery “What is your primary reason for using cloud technologies?” While cost was once widely-cited as the driver of cloud adoption, time to market has taken its place. Source: MongoDB Research
- 6. Key decision criteria Deployment Flexibility On-premise, Private, Public, or Hybrid without vendor lock-in Agility Accelerate time to market and speed of change for the business Cost Aligned to actual demand and value but with predictability What to think about when choosing a cloud data platform Resiliency Engineered for high availability across distributed architectures Scalability Elastically grow with demand Security Leverage best in class and appropriate security controls Reducing Complexity Broad use case applicability to avoid additional complexity
- 8. Multi-model Built for mission critical workloads Adoption & Growth 3000+ Enterprise Customers 2500+ Atlas Customers Scalable and Resilient Who Is MongoDB?
- 9. MongoDB fuels giant ideas in DACH
- 10. • Begrüßung und Einführung • Umsetzung einer cloudbasierten Datenstrategie • Wie Bosch SI die Enterprise/Cloud-Integration umsetzt • Best Practices Migration RDBMS zu MongoDB • Wie MongoDB unterstützen kann • Q&A und Networking Agenda
- 11. The Cloud Era Platform Transformation Platform 1: Mainframes Platform 2: Client/Server Platform 3: Cloud/Mobile 1960s-1980s 1990s-2000s 2010-Beyond
- 12. 12 Seismic Shifts — Organizational
- 13. 13 Seismic Shifts — Application Architecture On premises / self-hosted Monolithic Proprietary Fat Client / Web v1 Cloud Microservices Open source Mobile
- 14. 14 Operational Single View Solution: Dynamic Schema and Easy Scaling Customer Facing Applications Silo 1Silo 1Silo 1 Silo 1Silo 1Silo 2 Silo 1Silo 1Silo 3 Regulatory Applications Operational Reporting Data Warehouse Strategic Reporting Benefits • Real-time • Complete details • Agile • Higher customer retention • Increase wallet share • Proactive exception handling CRM Real-Time or Batch SAP Production
- 15. 15 Provisioning Service Advanced Deployment Patterns We see increasing adoption of more advanced deployment patterns across all industries and company sizes to enable strategic business and IT transformation programmes. API Access Layer (SOA, Microservices) ”Atomic Data” App1 App2 App3 Customers Products Accounts Transactions DB1 DB2 DB3 App1 App2 App3 Infrastructure* Infrastructure* Database as a Service (DBaaS) Standardise processes to request environments, automate provisioning (if possible), and establish best practices to administrate large deployments. Data as a Service (DaaS) Streamline access to channelised, atomic data to increase efficiency, avoid data duplication, enable high-availability & resilience. Access through MongoDB drivers in each application * MongoDB architecture enables you to spread data across multiple regions & data centres (on-premise or in the cloud) to achieve maximum resilience, high availability, and low latency for local data requests.
- 16. 16 API Access Layer Operational Data Customers Products Accounts Transactions Shared Physical Infrastructure App1 App2 App3 1. Development agility – UI for self-service provisioning & scaling 2. Data Re-use – Each service’s data is physically isolated into its own database instance – Federated across services with appropriate permissioning 3. Corporate Governance – Logically managed as one service Cloud Data Strategy Standardized, On-Demand Database Service Deployment Agnostic Any Cloud, Any Where
- 17. Cloud ManagerOps Manager MongoDB Atlas Private DBaaS: On- Prem Multi-Purpose DB & Eliminating Lock-In Hybrid DBaaS Public DBaaS: Fully Managed Same Code Base, Same API, Same Management UI
- 18. • Begrüßung und Einführung • Umsetzung einer cloudbasierten Datenstrategie • Best Practices Migration RDBMS zu MongoDB • Wie MongoDB unterstützen kann • Q&A und Networking Agenda
- 19. From Relational to NoSQL
- 20. Best Practice: Migration Roadmap RDBMS to MongoDB Migration Guide https://www.mongodb.com/collateral/rdbms-mongodb-migration-guide
- 21. The Document Model RDBMS { first_name: ‘Paul’, surname: ‘Miller’, city: ‘London’, location: { type : ‘Point’, coordinates : [45.123,47.232] }, cars: [ { model: ‘Bentley’, year: 1973, value: 100000, … }, { model: ‘Rolls Royce’, year: 1965, value: 330000, … } ] } MongoDB
- 22. Comparison of RDBMS & Documents RDBMS MongoDB Database Database Table Collection Row Document Column Field Index Index Join Embedded document, document references or $lookup to combine data from different collections
- 24. Private DBaaS
- 25. 10-Step Methodology for Private DBaaS Step 1: Common Workload Reqs Step 4: Enabling Multitenancy Step 5: Security Enforcement Step 6: Performance & Uptime SLAs Step 7: Mgmt & Orchestration Step 8: Cost Accounting & Chargeback Step 3: Virtualization Strategy Step 2: Hardware & OS Selection Step 9: Implementation Review Step 10: Delivery Model Discovery Design Deploy Detailed Whitepaper and Playbook: https://www.mongodb.com/collateral/mongodb-service-top-10-considerations
- 26. 26 MongoDB Ops Manager Management Platform for Private DBaaS Monitoring • Deploy, resize, and upgrade your deployments with just a few clicks • RESTful API to integrate with your enterprise orchestration tools • Allocate and create pre-provisioned server pools; Cloud Foundry Integration Automation Backup • Continuous backups to minimize your exposure to data loss • Restore to precisely the moment you need with point-in- time recovery • Dozens of charts tracking key performance indicators • Custom alerts that trigger when key metrics are out of range • RESTful API to integrate with your existing APM tools Seamless integration into your enterprise architecture
- 28. From Traditional to DBaaS • Slow to build and launch new applications • Multiple copies of data • Complex data reconciliation controls • High licensing costs • Sprawling server estate 12,000+ RDBMS Instances 3,500 Systems, 40,000 Cores 1,200+ Coherence Instances
- 29. 29 Solution: Data Fabric ✓ Multi-tenant PaaS ✓ Exposing APIs for data streaming and storage ✓ Cloud native, self-service ✓ Modern, industry standard, open source technologies ✓ Intra-day releases ✓ Multi-data center “Data Fabric provides data storage, query and distribution as a service, enabling application developers to concentrate on business functionality.” Data Fabric Clients Java, .NET, REST API Layer CRUD & Streaming App Server Layer Java + Linux Database MongoDB Messaging Kakfa Security Authentication&Audit Data Fabric
- 30. 34% Increase in Developer Efficiency Servers discovered that could be de- commissioned14,105 284:1 Storage Saving Cost per TB storage saving Cost Avoidance License, hardware and operational cost savings £10m+ Outcomes with MongoDBBefore MongoDB • Duplicated data • Duplicated processes Complex • High cost base for incumbent technologies • High hardware costs for incumbent technologies Expensive • Long time to market for new capabilities • Developers having to manage multiple technologies Slow “We’re replacing hundreds of separate products with a platform called Data Fabric, which will help reduce cost significantly and dramatically increase the speed at which we can deploy new capabilities" Ross McEwan – RBS CEO MongoDB Current Value to RBS Data Fabric Team
- 31. Public DBaaS
- 32. 32 MongoDB Atlas Managed Database as a Service for MongoDB • Run for You • Resilient & Secure • Multi-Cloud
- 33. 33 Secure out of the box Scale your Impact with MongoDB Atlas Comprehensive monitoring Fully managed backups Self-service & automated Highly available by default Fully elastic The latest database features MongoDB Atlas is … MongoDB Atlas includes …
- 34. 34 MongoDB Atlas Powering Microservices Architecture Biotechnology giant uses MongoDB Atlas to allow their customers to execute & track experiments from any mobile device Problem Why MongoDB Results Problem Over 35 different apps accessed by 10,000+ unique customers on AWS Each experiment produces millions of “rows” of data, which led to suboptimal performance with incumbent databases RDS & Aurora slow, added code complexity DynamoDB limited query functionality & expensive Solution MongoDB Atlas managed database service Flexible document model allows storage of multi-structured data Expressive query language and secondary indexes allow ad-hoc analysis of experiment data Scalability to handle growing data volumes Results Thermo Fisher customers now obtain real-time insights from mass spectrometry experiments from any mobile device or browser; not possible before Improved developer productivity with 40x less code, improved performance by 6x Easy migration process & zero downtime. Testing to production in under 2 months
- 35. MongoDB Stitch Fully Managed Backend-as-a-Service Stitch Integrated services and pipelines for complex, multi-stage workflows Native SDKs for Android, JS, and iOS clients Direct database access
- 36. • Begrüßung und Einführung • Umsetzung einer cloudbasierten Datenstrategie • Best Practices Migration RDBMS zu MongoDB • Wie MongoDB unterstützen kann • Q&A und Networking Agenda
- 37. 37 Focus on building internal capability Our professional services team will work with your in-house resources to transfer knowledge as quickly as possible. We will work with you to enable your teams, and not do things to you. Discovery Design OperateBuild Deploy In-houseCapabilitylevel &MongoDBInvolvement Our professional services team will drive the transformation from day 1, but collaborate closely with your teams to upskill in-house resources. Once in-house resources have reached a sufficient level of expertise we will dial back our involvement as much as possible to allow you to own the solution going forward. Our team will stay involved with a “lighter touch” and help with more complex queries while providing advice around performance tuning and automation for production. Customer Customer
- 38. 38 Enablement for a traditional model MongoDB offers a range of options to support a single project, a programme, or an entire transformation roadmap in all phases of the development lifecycle, tailored to an organisation’s current and future needs. Centre of Excellence Support ImplementationExcellence OperationsExcellence Professional Services (Onsite Consulting Engineer) Global Coverage Team (x nTSE) Training (for Developers & Operations) Named Technical Services Engineer (nTSE) Discover Design Build Deploy Operate
- 39. 39 Centre of Excellence Support OperationsExcellence Implementation Excellence Discovery Enablement for an Agile / DevOps model Our services and support organisation are very experienced in working in traditional models as well as in working in an agile or DevOps model. We will tailor our engagement around your ways of working to achieve maximum effectiveness. Dev / Change Ops / Run Professional Services Developer Training Named Technical Services Engineer and Global Coverage Teams Operations Training
- 40. ALIGN Determine the Drivers ENGAGE Quantify the Value VALIDATE Validate the Outcome Best Practice Approach • Time to Market, Reducing Costs Associated with Operations and Process, Customer Acquisition, Growth, Reduced Risk, Improved Resilience • What MongoDB benefits are relevant? • Determine the delta between your current state and your desired future state • Leverage our experience and tooling to determine business impact • Build consensus with stakeholders • Present teams and executive sponsor the final business case • Openly discuss expectations versus findings • Seek to gain agreement on moving forward or revisit the scope and use cases
- 41. • Begrüßung und Einführung • Umsetzung einer cloudbasierten Datenstrategie • Best Practices Migration RDBMS zu MongoDB • Wie MongoDB unterstützen kann • Q&A und Networking Agenda
- 42. 42 Resources to Get Started Spin up a cluster on the Free Tier today Download the Whitepaper