Introduction to MongoDB Enterprise

Editor's Notes

• #4: Now that we understand some of the challenges you’re facing and where you’d like to get, perhaps I can tell you a bit about why MongoDB exists and where we might be able to help.
• #5: A lot of people expect us to come in and bash relational database or say we don’t think they’re good. And that’s simply not true. Relational databases has laid the foundation for what you’d want out of a database, and we absolutely think there are capabilities that remain critical today Expressive query language & secondary Indexes. Users should be able to access and manipulate their data in sophisticated ways – and you need a query language that let’s you do all that out of the box. Indexes are a critical part of providing efficient access to data. We believe these are table stakes for a database. Strong consistency. Strong consistency has become second nature for how we think about building applications, and for good reason. The database should always provide access to the most up-to-date copy of the data. Strong consistency is the right way to design a database. Enterprise Management and Integrations. Finally, databases are just one piece of the puzzle, and they need to fit into the enterprise IT stack. Organizations need a database that can be secured, monitored, automated, and integrated with their existing IT infrastructure and staff, such as operations teams, DBAs, and data analysts.
• #6: But of course the world has changed a lot since the 1980s when the relational database first came about. First of all, data and risk are significantly up. In terms of data 90% data created in last 2 years - think about that for a moment, of all the data ever created, 90% of it was in the last 2 years 80% of enterprise data is unstructured - this is data that doesn’t fit into the neat tables of a relational database Unstructured data is growing 2X rate of structured data At the same time, risks of running a database are higher than ever before. You are now faced with: More users - Apps have shifted from small internal departmental system with thousands of users to large external audiences with millions of users No downtime - It’s no longer the case that apps only need to be available during standard business hours. They must be up 24/7. All across the globe - your users are everywhere, and they are always connected On the other hand, time and costs are way down. There’s less time to build apps than ever before. You’re being asked to: Ship apps in a few months not years - Development methods have shifted from a waterfall process to an iterative process that ships new functionality in weeks and in some cases multiple times per day at companies like Facebook and Amazon. And costs are way down too.  Companies want to: Pay for value over time - Companies have shifted to open-source business and SaaS models that allow them to pay for value over time Use cloud and commodity resources - to reduce the time to provision their infrastructure, and to lower their total cost of ownership
• #7: Because the relational database was not designed for modern applications, starting about 10 years ago a number of companies began to build their own databases that are fundamentally different. The market calls these NoSQL. NoSQL databases were designed for this new world… Flexibility. All of them have some kind of flexible data model to allow for faster iteration and to accommodate the data we see dominating modern applications. While they all have different approaches, what they have in common is they want to be more flexible. Scalability + Performance. Similarly, they were all built with a focus on scalability, so they all include some form of sharding or partitioning. And they're all designed to deliver great performance. Some are better at reads, some are better at writes, but more or less they all strive to have better performance than a relational database. Always-On Global Deployments. Lastly, NoSQL databases are designed for highly available systems that provide a consistent, high quality experience for users all over the world. They are designed to run on many computers, and they include replication to automatically synchronize the data across servers, racks, and data centers. However, when you take a closer look at these NoSQL systems, it turns out they have thrown out the baby with the bathwater. They have sacrificed the core database capabilities you’ve come to expect and rely on in order to build fully functional apps, like rich querying and secondary indexes, strong consistency, and enterprise management.
• #8: MongoDB was built to address the way the world has changed while preserving the core database capabilities required to build modern applications. Our vision is to leverage the work that Oracle and others have done over the last 40 years to make relational databases what they are today, and to take the reins from here. We pick up where they left off, incorporating the work that internet pioneers like Google and Amazon did to address the requirements of modern applications. MongoDB is the only database that harnesses the innovations of NoSQL and maintains the foundation of relational databases – and we call this our Nexus Architecture.
• #10: We offer a comprehensive suite of solutions and services to help you succeed with your MongoDB deployment. They include: Enterprise tooling enables your teams to operationalize MongoDB more efficiently. This includes monitoring, performance optimization, automation, & backup. Other products include a MongoDB GUI to make MongoDB accessible to your wider organization, a connector to your SQL-based BI platforms, and more. Enterprise security – we make it easier for you to protect your data and / or build compliant applications. Commercial License to help you protect your investments. Support – 24 x 7 enterprise-grade support from the same team that builds the database Services – specialized professional services packages for all teams throughout your development lifecycle, from design to production.
• #11: MongoDB Enterprise Advanced provides everything you need to [insert relevant value driver. Draw from relevant bullets below to support this claim] MongoDB Ops Manager or Cloud Manager Premium– full management platform to de-risk MongoDB in production Monitor the health of your system Visual Query profiler to identify slow-running queries Index suggestions and automated index rollouts Automate deployment, configuration, maintenance, upgrades and scaling Back up and restore to any point in time (standard network mountable filesystems supported) Visual Query profiler to identify slow-running queries Index suggestions and automated index rollouts APM integration with enhanced drivers (Ops Manager) Runs behind your firewall. MongoDB Compass – Schema and data visualization; understand the data stored in your database with no knowledge of the MongoDB query language. Ad hoc queries with a few clicks of your mouse BI Connector – Visualize and analyze the multi-structured data stored in MongoDB using SQL-based BI tools such as Tableau, Qlikview, Spotfire and more Enterprise-grade, follow the sun support with a 1-hour SLA Not just break/fix support Direct access to industry best-practices On-Demand Training Access to our online courses at your own pace to get team members up to speed Advanced Security Encrypted Storage Engine for end-to-end database encryption LDAP and Kerberos to integrate with existing authentication and authorization infrastructure Auditing of all database operations for compliance Commercial license To meet the needs of organizations that have policies against using open source, AGPL software Platform Certification Tested and certified for stability and performance on Windows, Red Hat/CentOS, Ubuntu, and Amazon Linux BETA ACCESS to In memory storage engine for your ultra throughput, most demanding apps: in memory computing without sacrificing data durability
• #13: MongoDB Enterprise Advanced compared to MongoDB Community Server
• #14: MongoDB Ops Manager makes it fast and easy for you to deploy, monitor, back up and scale MongoDB. Created by the engineers who develop the database and available as part of MongoDB Enterprise Advanced, Ops Manager allows you to take advantage of MongoDB best practices and reduce the overhead of operating both your new and existing deployments. Unique Features Gain valuable insights into your production system with customizable, real-time dashboards tracking over 100 metrics. Manage capacity and receive alerts before performance degrades. Quickly identify your slow-running queries, get suggestions on how to improve them, and click to roll out new indexes with no downtime Ops Manager reliably orchestrates the tasks you currently perform manually across the servers in your MongoDB deployment, reducing operational overhead by up to 95% for some tasks. Ops Manager is the only MongoDB backup solution that offers point-in-time recovery of replica sets and cluster-wide snapshots of sharded clusters. Restore to precisely the moment you need, quickly and safely Use our UI or use our RESTful API to integrate with APM tools you’re already using Full benefits (Pull from the content below when appropriate): Monitoring Details High-performance distributed systems benefit from comprehensive monitoring. Ops Manager gives you the insights you need to ensure smooth operations and a great experience for your end users. Gain valuable insight into the performance on your MongoDB cluster, with dozens of charts tracking key performance indicators such as operations counters, memory and CPU utilization, queues, and more. Be the first to know when there is a performance issue. Ops Manager allows you to set custom alerts when key metrics are out of range. Alerts can be sent via SMS and email or integrated into existing incident management systems like PagerDuty or HipChat. Integrate Ops Manager with your favorite monitoring platforms. Optimization (Visual Query Profiler) Details Query and write latency are consolidated and displayed visually; your ops teams can easily identify slower queries and latency spikes Visual query profiler analyzes the data it displays and provides recommendations for new indexes that can be created to improve query performance Ops Manager can automate the rollout of new indexes, reducing risk (eliminating downtime) and your team’s operational overhead Automation Details Ops Manager reliably orchestrates the tasks you currently perform manually across the servers in your MongoDB deployment, reducing operational overhead by up to 95% for some tasks. Effortlessly add capacity to your deployment as it grows. Ops Manager allows you to dynamically resize your deployment by adding shards and replica set members. Take advantage of the latest features of MongoDB. Upgrade or downgrade clusters on-demand with no downtime. You can use the Ops Manager interface directly, or leverage our RESTful API to integrate with the enterprise operations orchestration and management tools you already use. Backup Details Backups are critical for any production system. Ops Manager enables you to back up and restore MongoDB systems in real-time through an easy-to-use interface. Ops Manager is the only MongoDB backup solution that offers point-in-time recovery of replica sets and cluster-wide snapshots of sharded clusters. Restore to precisely the moment you need, quickly and safely. Ops Manager backups are maintained continuously, just a few seconds behind your operational system. If your system goes down, the most recent backup is only moments behind, minimizing your exposure to data loss. Use standard network mountable filesystems
• #15: Key takeaway: Easily incorporate MongoDB performance metrics into your existing APM dashboards for global oversight of your entire IT stack Talking points: MongoDB drivers enhanced with new API that exposed query performance metrics to APM tools Out-of-the-box integration with New Relic for real-time tracking of Key Performance Indicators
• #16: Key Takeaway: 3.2 includes Ops Manager enhancements to improve the productivity of your ops teams and further simplify installation and management Talking points: MongoDB backup on standard network-mountable filesystems; integrates with your existing storage infrastructure Automated database restores; Build clusters from backup in a few clicks Faster time to first database snapshot Support for maintenance windows to avoid false positive alerts Centralized UI for installation and config of all application and backup components for simplified management
• #17: Key Takeaway: MongoDB Compass allows you to Understand your data and Perform ad hoc queries with No shell and no knowledge of the MongoDB query language required. Talking points: Graphical view of MongoDB schema from a sample of documents within a collection Perform queries with a few clicks; get results graphically and as a set of JSON documents Minimal overhead; fast and interactive experience no matter how large the database
• #18: Key Takeaway: Easily explore your MongoDB data with SQL-based BI tools such as Tableau, QlikView, Spotfire, and more Talking points: Query your multi-dimensional documents stored in MongoDB Seamlessly visualize semi-structured and unstructured data along with traditional data from your SQL stores Unlock new insights from previously untapped data sources How’s it work (maybe rope in an SA at this point): Provides the BI tool with the schema of the MongoDB collection to be visualized Translates SQL statements issued by the BI tool into equivalent MongoDB queries that are sent to MongoDB for processing Converts the results into the tabular format expected by the BI tool, which can then visualize the data based on user requirements
• #19: Key takeaway: New encrypted storage engine natively encrypts database files on disk Talking points: Eliminates the management and performance overhead of external encryption mechanisms Allows only staff with appropriate DB credentials to access encrypted data Key management: Local key management via keyfile or integration with 3rd party key management appliance via KMIP
• #20: Security Comparison of MongoDB Enterprise Advanced vs MongoDB Community Server Role based access control - MongoDB employs Role-Based Access Control (RBAC) to govern access to a MongoDB system. A user is granted one or more roles that determine the user’s access to database resources and operations.   PKI Certificates – Public Key Infrastructure Certificates; used to establish and maintain trustworthy networking environments by means of a Certificate Authority Field-Level Redaction – analogous to cell-level security SSL / TLS Encryption – Used to encrypt connections to mongod and mongos instances; encryption for data in-flight FIPS-Compliant SSL - The Federal Information Processing Standard (FIPS) is a U.S. government computer security standard used to certify software modules and libraries that encrypt and decrypt data securely. You can configure MongoDB to run with a FIPS 140-2 certified library for OpenSSL. Available in MongoDB Enterprise Server only. Encryption at rest – Available via the Encrypted Storage engine. Eliminates the management and performance overhead of external encryption mechanisms x.509 support - MongoDB supports x.509 certificate authentication for use with a secure TLS/SSL connection. The x.509 client authentication allows clients to authenticate with certificates rather than with a username and password. Technically available with community but only supported with MongoDB EA.  Kerberos, LDAP Authentication – makes it possible for enterprises to incorporate MongoDB into authentication systems they’re already using across their business. Red Hat Identity Management Certification - RHEL 6.4 and up includes a complete Identity Management Solution called Red Hat Enterprise Linux IdM. IdM integrates Kerberos authentication, directory services, certificate management, DNS, and NTP into a single service. MongoDB Enterprise can leverage RHEL IdM’s Kerberos authentication and certificate management infrastructure to generate and maintain the SSL certificates required to encrypt data in motion. Auditing - Auditing now extends beyond capturing administrative actions (i.e. schema operations, authentication and authorization activities) to include the logging of read and write (DML) operations to the database. You can construct and filter audit trails for any operation against MongoDB without having to rely on third-party tools. 3.0 also features the introduction of role-based auditing. Proactive Systems Monitoring - detect spikes that maybe caused by an attack Point in time backup – to recover from corruptions
• #25: Volusion Industry: Retail Use Case: Content Management
• #26: Comparethemarket Industry: Price Comparison, Finance and Insurance Use Case: Multiple
• #27: Square Enix Industry: Media and Entertainment, Gaming Use Case: DBaaS
• #28: China Eastern Industry: Travel and Hospitality, Airline Use Case: Search