Why You Can Get a Ticket to MongoDB World for $224
January 4, 2017
If you’ve attended a conference before, you know that large, multi-day events can be quite costly. The reason for this is that organizing a conference is expensive. Offering attendees an unforgettable experience complete with expert speakers, a memorable after party, and good food comes with a hefty price tag.
At MongoDB, our goal is to host events that are accessible to our community members. We want you to be able to attend MongoDB World, learn, develop new ideas, and connect with other contributors. We realized that by offering tickets that cost more than $1,000, we excluded part of our community, individuals or companies who were unable to afford to pay this ticket price.
The content at our events is not just tailored towards developers who work at large corporations. It’s also crafted with the open source community in mind. This includes independent consultants, academics, and government organizations, who are often priced out of large conferences.
For this reason, we’re excited to announce that we’ve created an accessible pricing model for MongoDB World 2017. You can now attend our annual two-day conference for as low as $224.25! The earlier you book, the lower your price. If you wait, a general admission ticket will still only cost you $499.
With this new pricing we hope MongoDB World 2017 will be accessible to more people in the community, whether they are students, freelancers, or startup and nonprofit employees. Even at a new price point we’ll still bring you a high-quality, community-centric conference, loaded with education, networking, and yes – an unforgettable after party.
Can’t wait to see you in Chicago on June 20-21!
What’s New in MongoDB 3.4, Part 3: Modernized Database Tooling
Welcome to the final post in our 3-part MongoDB 3.4 blog series. In part 1 we demonstrated the extended multimodel capabilities of MongoDB 3.4, including native graph processing, faceted navigation, rich real-time analytics, and powerful connectors for BI and Apache Spark In part 2 we covered the enhanced capabilities for running mission-critical applications, including geo-distributed MongoDB zones, elastic clustering, tunable consistency, and enhanced security controls. We are concluding this series with the modernized DBA and Ops tooling available in MongoDB 3.4. Remember, if you want to get the detail now on everything the new release offers, download the What’s New in MongoDB 3.4 white paper . MongoDB Compass MongoDB Compass is the easiest way for DBAs to explore and manage MongoDB data. As the GUI for MongoDB, Compass enables users to visually explore their data, and run ad-hoc queries in seconds – all with zero knowledge of MongoDB's query language. The latest Compass release expands functionality to allow users to manipulate documents directly from the GUI, optimize performance, and create data governance controls. DBAs can interact with and manipulate MongoDB data from Compass. They can edit, insert, delete, or clone existing documents to fix data quality or schema issues in individual documents identified during data exploration. If a batch of documents need to be updated, the query string generated by Compass can be used in an update command within the mongo shell. Trying to parse text output can significantly increase the time to resolve query performance issues. Visualization is core to Compass, and has now been extended to generating real-time performance statistics, and presenting indexes and explain plans. Figure 1: Real-time performance statistics now available from MongoDB Compass The visualization of the same real-time server statistics generated by the mongotop and mongostat commands directly within the Compass GUI allows DBAs to gain an immediate snapshot of server status and query performance. If performance issues are identified, DBAs can visualize index coverage, enabling them to determine which specific fields are indexed, their type, size, and how often they are used. Compass also provides the ability to visualize explain plans, presenting key information on how a query performed – for example the number of documents returned, execution time, index usage, and more. Each stage of the execution pipeline is represented as a node in a tree, making it simple to view explain plans from queries distributed across multiple nodes. If specific actions, such as adding a new index, need to be taken, DBAs can use MongoDB’s management tools to automate index builds across the cluster. Figure 2: MongoDB Compass visual query plan for performance optimization across distributed clusters Document validation allows DBAs to enforce data governance by applying checks on document structure, data types, data ranges, and the presence of mandatory fields. Validation rules can now be managed from the Compass GUI. Rules can be created and modified directly using a simple point and click interface, and any documents violating the rules can be clearly presented. DBAs can then use Compass’s CRUD support to fix data quality issues in individual documents. MongoDB Compass is included with both MongoDB Professional and MongoDB Enterprise Advanced subscriptions used with your self-managed instances, or hosted MongoDB Atlas instances. MongoDB Compass is free to use for evaluation and in development environments. You can get MongoDB Compass from the download center , and read about it in the documentation . Operational Management for DevOps Teams Ops Manager is the simplest way to run MongoDB on your own infrastructure, making it easy for operations teams to deploy, monitor, backup, and scale MongoDB. Ops Manager is available as part of MongoDB Enterprise Advanced, and its capabilities are also available in Cloud Manager , a tool hosted by MongoDB in the cloud. Ops Manager and Cloud Manager provide an integrated suite of applications that manage the complete lifecycle of the database: Automated deployment and management with a single click and zero-downtime upgrades Proactive monitoring providing visibility into the performance of MongoDB, history, and automated alerting on 100+ system metrics Disaster recovery with continuous, incremental backup and point-in-time recovery, including the restoration of complete running clusters from your backup files Ops Manager has been enhanced as part of the MongoDB 3.4 release, now offering: Finer-grained monitoring telemetry Configuration of MongoDB zones and LDAP security Richer private cloud integration with server pools and Cloud Foundry Encrypted backups Support for Amazon S3 as a location for backups Ops Manager Monitoring Ops Manager now allows telemetry data to be collected every 10 seconds, up from the previous minimum 60 seconds interval. By default, telemetry data at the 10-second interval is available for 24 hours. 60-second telemetry is retained for 7 days, up from the previous 48-hour period. These retention policies are now fully configurable, so administrators can tune the timelines available for trend analysis, capacity planning, and troubleshooting. Generating telemetry views synthesized from hardware and software statistics helps administrators gain a complete view of each instance to better monitor and maintain database health. Ops Manager has always displayed hardware monitoring telemetry alongside metrics collected from the database, but required a third party agent to collect the raw hardware data. The agent increased the number of system components to manage, and was only available for Linux hosts. The Ops Manager agent has now been extended to collect hardware statistics, such as disk utilization and CPU usage, alongside existing MongoDB telemetry. In addition, platform support has been extended to include Windows and OS X. Private Cloud Integration Many organizations are seeking to replicate benefits of the public cloud into their own infrastructure through the build-out of private clouds. A number of organizations are using MongoDB Enterprise Advanced to deliver an on-premise Database-as-a-Service (DBaaS). This allows them to standardize the way in which internal business units and project teams consume MongoDB, improving business agility, corporate governance, cost allocation, and operational efficiency. Ops Manager now provides the ability to create pre-provisioned server pools. The Ops Manager agent can be installed across a fleet of servers (physical hardware, VMs, AWS instances, etc.) by a configuration management tool such as Chef, Puppet, or Ansible. The server pool can then be exposed to internal teams, ready for provisioning servers into their local groups, either by the programmatic Ops Manager API or the Ops Manager GUI. When users request an instance, Ops Manager will remove the server from the pool, and then provision and configure it into the local group. It can return the server to the pool when it is no longer required, all without sysadmin intervention. Administrators can track when servers are provisioned from the pool, and receive alerts when available server resources are running low. Pre-provisioned server pools allow administrators to create true, on-demand database resources for private cloud environments. You can learn more about provisioning with Ops Manager server pools from the documentation. Building upon server pools, Ops Manager now offers certified integration with Cloud Foundry. BOSH, the Cloud Foundry configuration management tool, can install the Ops Manager agent onto the server configuration requested by the user, and then use the Ops Manager API to build the desired MongoDB configuration. Once the deployment has reached goal state, Cloud Foundry will notify the user of the URL of their MongoDB deployment. From this point, users can log in to Ops Manager to monitor, back-up, and automate upgrades of their deployment. MongoDB Ops Manager is available for evaluation from the download center . Backups to Amazon S3 Ops Manager can now store backups in the Amazon S3 storage service, with support for deduplication, compression, and encryption. The addition of S3 provides administrators with greater choice in selecting the backup storage architecture that best meets specific organizational requirements for data protection: MongoDB blockstore backups Filesystem backups (SAN, NAS, & NFS) Amazon S3 backups Whichever architecture is chosen, administrators gain all of the benefits of Ops Manager, including point-in-time recovery of replica sets, cluster-wide snapshots of sharded databases, and data encryption. You can learn more about Ops Manager backups from the documentation . MongoDB Atlas: VPC Peering The MongoDB Atlas database service provides the features of MongoDB, without the operational heavy lifting required for any new application. MongoDB Atlas is available on-demand through a pay-as-you-go model and billed on an hourly basis, letting developers focus on apps, rather than ops. MongoDB Atlas offers the latest 3.4 release (community edition) as an option. In addition, MongoDB Atlas also now offers AWS Virtual Private Cloud (VPC) peering . Each MongoDB Atlas group is provisioned into its own AWS VPC, thus isolating the customer’s data and underlying systems from other MongoDB Atlas users. With the addition of VPC peering, customers can now connect their application servers deployed to another AWS VPC directly to their MongoDB Atlas cluster using private IP addresses. Whitelisting public IP addresses is not required for servers accessing MongoDB Atlas from a peered VPC. Services such as AWS Elastic Beanstalk or AWS Lambda that use non-deterministic IP addresses can also be connected to MongoDB Atlas without having to open up wide public IP ranges that could compromise security. VPC peering allows users to create an extended, private network connecting their application servers and backend databases. You can learn more about MongoDB Atlas from the documentation . Next Steps As we have seen through this blog series, MongoDB 3.4 is a significant evolution of the industry’s fastest growing database: Native graph processing, faceted navigation, richer real-time analytics, and powerful connectors for BI and Spark integration bring additional multimodel database support right into MongoDB. Geo-distributed MongoDB zones, elastic clustering, tunable consistency, and enhanced security controls bring state-of-the-art database technology to your most mission-critical applications. Enhanced DBA and DevOps tooling for schema management, fine-grained monitoring, and cloud-native integration allow engineering teams to ship applications faster, with less overhead and higher quality. Remember, you can get the detail now on everything packed into the new release by downloading the What’s New in MongoDB 3.4 white paper . Alternatively, if you’d had enough of reading about it and want to get started now, then: Download MongoDB 3.4 Alternatively, spin up your own MongoDB 3.4 cluster on the MongoDB Atlas database service Sign up for our free 3.4 training from the MongoDB University
Congratulations to the 2023 APAC Innovation Award Winners
I’m thrilled to announce the nine winners of the 2023 MongoDB APAC Innovation Awards . The MongoDB Innovation Awards honor projects and people who dream big. They celebrate the groundbreaking use of data to build compelling applications and the creativity of professionals expanding the limits of technology with MongoDB. This year, we have broken the awards down regionally to celebrate organizations in APAC, from startups to industry-leading enterprises, across a wide variety of industries, who are delivering big results. We are delighted to announce the winners below: 2023 MongoDB APAC Innovation Award Winners: Positive Impact Open Government Products Open Government Products (OGP) is an in-house team of engineers, designers, and product managers, who is a part of the Singapore Government, and is responsible for building technologies for the public good. OGP used MongoDB’s developer data platform, MongoDB Atlas to create its digital form builder, FormSG. Used by the Singapore government and public healthcare institutions, FormSG securely collects data from residents and businesses and helps public officers to create digital government forms in minutes. It eliminates the use of paper forms and the manual process of transcribing physical documents, which had raised concerns around data privacy and protection. During the pandemic, FormSG enabled public officers to collect more than 100,000 daily temperature declarations nationwide. Today, FormSG has served more than 120,000 public officers from 155 agencies and it has created more than 500,000 digital forms to help the government collect data on travel and health declarations by visitors to the country, applications for COVID-19 swab tests, and applications for financial assistance. Organization Transformation Bendigo and Adelaide Bank Bendigo and Adelaide Bank is one of Australia’s largest banks, with around 7,000 employees helping more than 2.2 million customers achieve their financial goals. The bank has been on a multi-year journey of transformation using MongoDB's developer data platform to improve efficiency and deliver a better customer experience as they fulfill their vision to become Australia’s bank of choice. Recently, the cloud team launched Ready-Set-MongoDB (or RSM). This event-driven framework allows developers to streamline the consumption of internal or external APIs, and applies data transformations and storage automatically within a MongoDB collection of their choice. Using MongoDB Atlas Search, the bank also enabled developers to gain insights across its multi-cloud deployments, identifying cost savings, and providing inventory information to account owners and technical stakeholders. Within the first 18 months of launching these programmes, the automation had saved the organization more than 1,100 developers days. It also helped reduce human involvement, removed stale data, and allowed engineers to focus on the things that matter. The development of Ready-Set-MongoDB is ongoing and improving, as new Bendigo multi-cloud challenges arise and new MongoDB products are released. The application is a perfect representation of how Bendigo's Technology Department is using modern technology, rapid development, and innovation-led problem solving to drive organizational transformation. Heroes in Health Redcliffe Lifetech Private Limited Over the last few years, Redcliffe Labs has become India's fastest growing technology-driven diagnostics service provider. Redcliffe Labs is on a mission to serve 500 Million Indians by 2030 with fusion of technology and world- class laboratories. The company already serves thousands of people daily, with more than 73 labs and close to 1500 walk-in centers across 180 cities. Redcliffe Labs has relied on MongoDB Atlas’ flexible document model to power its innovative Smart Health Report, a patient resource that provides a number of indicators and trackers to gauge holistic health. The MongoDB developer data platform's best in class security, compliance, and privacy controls allows Redcliffe's team to confidently handle even the most sensitive patient data. MongoDB Atlas takes care of many of the traditional database management challenges, which means that developers can spend their time building diagnostics for patients, rather than managing databases. Redcliffe Labs is focusing on incorporating next-generation technologies in the diagnostics space with an AI platform that will make Interactive Diagnostics reports, Advanced Health Profiling and more detailed Diagnostics and Health Alerts. Industry Disruptor Cathay Pacific Cathay Pacific , Hong Kong’s home carrier operating in more than 60 destinations worldwide, has been on an impressive journey to become one of the very first airlines to create a truly paperless flight deck. Until recently, a flight from Hong Kong to New York would require a crew to review more than 150 pages of finely printed text and charts before their flight and make ongoing updates throughout the trip. In 2019, Cathay Pacific conducted the first zero paper flight, removing 50kg of manuals, charts, maps, and flight briefing paperwork. They achieved this enormous feat with the help of one seamless and highly customized iPad application: Flight Folder. Built on MongoDB Atlas, Flight Folder is designed to improve the pilot briefing experience. MongoDB helped consolidate dozens of different information sources into one place, and made it possible for flight crews to easily share their experiences with others. It also included a digital refueling feature that helps crews become much more efficient with fueling strategies – saving significant flight time and costs. The use of MongoDB Device Sync enables seamless syncing and no data loss even when the app goes on- and offline mid-flight. Since the Flight Folder launch, Cathay Pacific has completed more than 340,000 flights with full digital integration in the flight deck. In addition to the greatly improved flight crew experience, flight times have been reduced, and digital refueling saves eight minutes of ground time on average. All these efficiencies have helped the company avoid the release of 15,000 tons of carbon. From Batch to Real-Time Adani Digital Labs Adani Digital Labs is the India-based digital innovation arm of the larger Adani group. The lab’s team's mission is to create one single platform – a SuperApp called AdaniOne – to empower a billion stories in India. To address several use cases and the huge scale that will be required by the superapp, the Adani Digital team selected MongoDB Atlas as its the main transactional database that will further enhance the application. A key component of the app is how it can bring together disparate data in order to provide a single view of activity across the application. In the first process, developers had taken out the data in batches and sent it to their database However, this was too slow and unpredictable as far as business requirements are concerned. Also, the consolidated view of customer history, orders, inventory, and supply chain network updates was likely to impact their customer's ability to generate revenue. Therefore, in order to find a better solution, Adani Digital Labs built a more modern architecture in line with MongoDB. Using MongoDB's Change Streams and the data platform's native Kafka connector, they created an event-based architecture that pushes the data out in real-time for analysis. Adani Digital Labs is still in the early phases of the SuperApp's rollout and collaborating with MongoDB as its developer data platform continues to help the firm to grow and deliver insights in real time. Industry 4.0 Dongwha Founded in 1948, the Dongwha Group has evolved from a singular focus on the wood and timber industry into a global leader across a number of sectors including building materials, chemicals and media. As part of its wider digital transformation strategy, Dongwha required smarter factories that would improve and optimize their production efficiency. Dongwha built an innovative Smart Factory Software platform that collects and analyzes data to enhance quality and production management capabilities. Originally, the platform was built with the community version of MongoDB. However, in order to scale and adapt, the team recently migrated to MongoDB Atlas in the cloud. This enabled them to store large volumes in the fastest and most secure way, optimize their solution for time series data, and make it easy to run machine learning across their data. Dongwha completed the migration seamlessly, without any disruption or downtime to their factories, and it has now been launched across five different sites. Over the last year, the application has significantly increased its availability and reliability while performance has improved by as much as 6x . As they look to the future, Dongwha plans to roll out the software to more of its international factories. Digital Native myBillBook India is home to more than 60 million small and medium-sized businesses (SMBs) but only a small portion of those SMBs are taking advantage of digitization and many still operate using pen and paper. In addition, many businesses in India still struggle with fluctuations in internet services, outages, and latency. FloBiz is on a mission to change that with myBillBook , a one-stop solution that helps SMBs create professional invoices, manage stock, collect payments, automate reminders through smart banking, engage with their customers, manage staff attendance and payroll and generate more than 25 business reports for accounting and decision making. The app is also mobile-first, so businesses can access them from their mobile devices and allows users to manage billing and inventory in both online and offline environments. The myBillbook app is powered by MongoDB Atlas, providing the flexible and scalable foundation for the business to do everything from building new features to performing complex analytical queries. In addition, MongoDB Realm, the mobile database within the data platform, supports offline usage and syncing to ensure there is never data loss or functionality for users due to poor internet connection. Because of its success in supporting customers with business critical operations, more than 6.5 million business owners in India are now using myBillbook for their billing, accounting, collection and business growth. Customer Focused KASIKORN Business-Technology Group Established in 1945, Kasikornbank (KBank) is one of the largest and oldest banks in Thailand. Their mission is to strive towards service excellence and empower every customer’s life and business. One of KBank’s subsidiaries, KASIKORN Business-Technology Group (KBTG) , developed a mobile banking application – MAKE by KBank. MongoDB Atlas’ flexibility and ease of development enabled MAKE’s development team to choose the best type of database for its tasks, to automate data tiering with Atlas Online Archive, and to reduce hours spent on operational maintenance. With more time to focus on delivering new innovations to customers, they created unique features like Cloud Pocket which can allocate funds into unlimited customizable pockets for separate usage. They also built Pop Pay, a feature that allows users to easily search for nearby friends and transfer money by clicking their profile picture as well as “Expense Summary" a spending analysis services that helps inform and manage users’ financial habits. As of January 2023, MAKE has acquired more than 1 million users, and increased the number of transactions in MAKE from 900,000 to more than 7.5 million in a span of one year. Massive Scale China Mobile China Mobile provides mobile voice and multimedia services via its nationwide mobile telecommunications network across mainland China and Hong Kong. It is the world's largest mobile network operator by total number of subscribers. The telecommunications leader is using MongoDB to support one of its largest and most critical push services, which sends out billing details to more than 1 billion users every month. Prior to MongoDB, the tech team relied on Oracle, but as the user numbers increased, performance degraded. Despite large investments, it was still taking too long to do basic requests like finalize and deliver bills to users. In 2019, after comprehensive testing, China Mobile migrated to MongoDB. By taking advantage of MongoDB's native sharding, they were able to improve performance by 80% and go from 50 Oracle machines, to just 12 machines for the same workload. The service now handles all current requirements and is set up to scale with future growth. With the support of MongoDB, China Mobile is growing steadily,with more than 168 million monthly users and has one of the highest customer satisfaction scores in the China Mobile group.