July 2022 Summaries

Integrating Support for Non-Volatile Memory Into WiredTiger, a component of the MongoDB storage engine, aims to utilize Intel Optane DC Persistent Memory as a volatile extension of DRAM. This approach can provide better performance than using more DRAM alone, especially for large workloads with read-dominant characteristics, while offering cost-effectiveness by reducing memory costs. However, the presence of writes can negatively impact performance and make NVRAM unprofitable relative to DRAM. The solution introduces an Overhead Bypass (OBP) metric to limit write overhead and ensure optimal cache utilization, resulting in improved performance for workloads with large datasets that benefit from extra caching.

As the global population ages, healthcare systems face a two-fold challenge: delivering higher quality care while managing rising costs for increasingly larger populations. IoT has the potential to help meet this challenge by remotely monitoring patients via wearables and connected devices, collecting data beyond traditional in-person visits, and enabling providers to deliver care outside of traditional methods. However, capturing and leveraging data from healthcare IoT devices poses significant challenges, including scalable storage, global coverage and data synchronization, interoperability, security and privacy. MongoDB's Atlas platform can help address these challenges by providing a cloud-based developer data platform that supports massive data volumes, automatically archives raw and historical data, and integrates time-series data with operational data and analytics capabilities in one unified environment. By leveraging MongoDB, developers can build IoT-powered healthcare apps with scalable storage, global coverage and data synchronization, interoperability, and security and privacy features, ultimately delivering better quality care for larger populations.

Mobile Edge Computing is a new cloud paradigm that combines the best experiences of hyperscaler compute and storage with the topological proximity of 5G networks. It introduces a new mode of cloud deployments whereby enterprises can run applications within the 5G network itself, across both public and private networks. Verizon's mobile edge compute portfolio, Verizon 5G Edge, takes these concepts from theoretical to practical by creating a unified compute mesh across both public and private networks. This allows for seamless exchange of data and stateful workloads. However, it also presents challenges such as deployment, orchestration, and edge discovery. Fortunately, Verizon has developed a suite of network APIs tailored to answer these questions, simplifying the level of effort required to build resilient applications at the network edge. By pairing the power of 5G networks with intelligent software, companies can start using data for innovation. MongoDB Atlas is a next-gen data platform that provides organizations with a fully managed, elastically scalable developer data platform upon which to build modern applications. It enables diverse data to be ingested, persisted, and served in ways that support a growing variety of use cases, making it an ideal solution for the central, cloud-based datastore in edge or multi-edge based architectures.

Mobile Edge Computing is a telecommunications-specific technology that has far-reaching implications for real-world use cases across many different industries. It enables data processing, cloud-to-network traffic management, IoT application development, data sovereignty, and more, by processing data at the edge of the network. This allows organizations to increase data usage flexibility, reduce latency, and improve efficiency in various industries such as manufacturing, agriculture, and automotive. By using mobile edge computing, companies can transform their operations by enabling real-time processing of telemetry data, optimizing production processes, preventing equipment malfunctions, improving crop yields, and aggregating data from multiple sources within a vehicle to improve traffic management. The use of edge-based architectures enables organizations to realize the benefits of common data usage challenges and improves control of network usage, reduces costs, and optimizes network bandwidth usage.

Meet Gabriella Cohen, MongoDB's newest Regional Vice President for Israel, who joins from Amazon Web Services (AWS) after six years of experience in the Israeli market. Cohen is excited about expanding MongoDB's presence in Israel, where she believes there is a large business opportunity and a growing market. She envisions a strategic role in helping MongoDB gather feedback from tech-savvy users in Israel, shaping the company's product roadmap, and building the sales organization to meet the unique needs of the Israeli market. Cohen values her leadership style as empowering individual team members, generating value, and leading by example, while also embracing authenticity and creativity in the workplace. As a woman in sales, she advises others to be their best selves, avoid having multiple personas, and leverage interpersonal skills to drive business success. With MongoDB's hypergrowth and global presence, Cohen sees endless opportunities for professional growth and development in various roles, from managerial positions to daily skill-building experiences.

MongoDB 6.0 Now Available! Try MongoDB Atlas for Free Today! MongoDB 6.0 is now available for download, introducing improvements to existing features as well as new products to empower developers to build faster and troubleshoot less. The release removes the need for outside platforms in tech stacks or application architectures, allowing for more time to focus on building applications and solutions. MongoDB 6.0 includes feature upgrades, integrations, support for diverse scenarios, and much more, such as enhanced time series collections and change streams, Queryable Encryption, and exciting new releases for security, analytics, search, and other areas.

MongoDB 6.0 is now generally available and ready for download, offering simplification, improved operational resilience at scale, and enhanced security features. The new release includes capabilities such as support for time series data, better event-driven architectures, enriched queries, more operators, less work, more resilient operations, additional data security and operational efficiency, a smoother search experience, and seamless data sync. These updates aim to facilitate development and operations, remove data silos, and eliminate the complexity of using separate niche technologies, allowing developers to focus on building and improving their applications.

MongoDB 6.0 introduces new functionality to its Change Streams API, allowing for pre- and post-image retrieval, support for data definition language (DDL) operations such as creating and dropping indexes and collections, and improved performance with filtering stages pushed to optimal positions within change stream pipelines. These enhancements expand the use cases that Change Streams can address, enabling teams to build event-driven applications or systems on MongoDB that capture and react to data changes in near real-time, without requiring middleware or database polling scripts.

MongoDB for Startups Is Now an Exclusive Offer in AWS Activate` is a program that offers early-stage companies access to MongoDB's cloud developer data platform, including credits and support on various services, as well as dedicated technical advice, shared marketing opportunities, and partnership opportunities. This program is now available exclusively through the `AWS Activate` startup program, which provides startups with AWS credits, support plan credits, architecture guidance, and exclusive offers. The partnership aims to simplify the process of building software while helping startups get started with minimal resources. By joining this program, early-stage companies can benefit from a comprehensive set of tools, resources, and expert support to help them grow their customer base and succeed in the market.

The Power of Qualified Research That Companies Can Trust` Companies need research on prospective and current customers to analyze trends, evaluate purchasing decisions, and produce the best products that they can. A research software startup called Phonic aims to break down barriers between quantitative and qualitative research to allow businesses to collect genuine insights at a scale that they can trust. Phonic takes an analytics-first approach, leveraging its chosen NoSQL database, MongoDB Atlas, to handle large amounts of data and provide scalable solutions for businesses. The company's tech stack is simple yet effective, with a focus on developer velocity, while utilizing Google Cloud services such as cloud functions and storage to support growth. Phonic plans to launch an asynchronous research product and seek funding to further develop its technology, aiming to build a conversation intelligence suite that will be crucial to the company's ecosystem.

The relational database management system (RDBMS) is turning 52 years old, having been invented in June 1970 by Edgar F. Codd. At the time of its creation, RDBMS offered unprecedented flexibility for working with data sets and laid a foundation for database theory that dominated the next 40 years. However, as modern apps consist of smaller, modular microservices with unique query patterns, data modeling requirements, and scale requirements, relational databases have become less adaptable to change and increasingly rigid. In contrast, MongoDB Atlas stores data in documents using JSON, providing an intuitive and natural way to model data that aligns with the objects developers work with in code, accelerating developer productivity and simplifying data access.

Migrating Terabytes of IoT Data From a Legacy NoSQL Database to MongoDB Atlas With MongoDB's Custom Migration Tool` discusses how a large European energy company, with 7.6 million smart meters, migrated its legacy NoSQL database to MongoDB Atlas to handle the massive influx of data from IoT devices. The company faced challenges such as scalability issues, increasing costs, and poor performance on its current system. To address these challenges, they decided to migrate to MongoDB Atlas using a custom migration tool developed by their technical partner PeerIslands. The migration was complex due to the large volume of data and uneven write loads, but the custom tool successfully handled these challenges with minimal downtime. After the migration, the company has experienced improved performance, reduced costs, and is better equipped to handle business needs, leveraging MongoDB's time-series capabilities for IoT functionality.