Scaling IoT Applications – Panel Discussion Part II
Understanding how to scale IoT applications from prototype to production is a critical component in IoT deployment success. In Part I of this Webinar, the IoT panel discussed scaling by sensors, performance, users, and geography. In Part II, industry experts focus on IoT industries and applications, describe the scaling considerations, and then review the tools, architectures and key components used to move the application from prototype to successful deployment. Join industry expert panelists, including McObject CEO Steve Graves, as they cover a range of topics from scaling dimensions and associated challenges such as field upgrades, to deployment management, and security issues as IoT deployments scale. Sponsored by McObject, Ayla Networks, Intel, Red Hat and RTI.
Initially hosted by Embedded Computing. Embedded here with permission.
Learn how eXtremeDB Active Replication Fabric™ offers reliable data management for IoT by solving 5 challenges for IoT system developers:
- Bidirectional Replication
- Intermittent connections
- Multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud)
- Compression to maximize limited bandwidth networks
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Watch to on-demand Webinars, hosted by experts, about proven database management system practices. Watch “Eliminating Database Corruption“. Or, “Embedded Databases: Make or Break Technology Choices for High Performance Applications” and others.
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Articles for Professional Developers
- Change Data Capture in Embedded Databases Embedded Computing Design
- Industrial Internet of Things (IIoT) Database Usage in Rail Systems insight.tech
- The Importance of Distributed Databases for the Internet of Things Embedded Software Engineer – ESE Kongress edition, page translates
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We have been testing, improving on, and retesting our software from the beginning in 2001 in order to provide our clients with the best possible data management solutions. Read “Database Persistence, Without The Performance Penalty” and more.
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A distributed database system is one in which the data belonging to a single logical database is distributed to two or more physical databases. Beyond that simple definition, there are a confusing number of possibilities for when, how, and why the data is distributed. Some are applicable to edge and/or fog computing, some others are applicable to fog and/or cloud computing, and some are applicable across the entire spectrum of edge, fog and cloud computing.
White paper: Will the Real IMDS Please Stand Up?
In-memory database systems (IMDSs) have changed the software landscape, enabling “smarter” real-time applications and sparking mergers and acquisitions involving the largest technology companies. But IMDSs’ popularity has sparked a flurry of products falsely claiming to be in-memory database systems. Understanding the distinction is critical to determining the performance, cost and ultimately the success or failure of a solution. This white paper examines specific products, seeking to answer the question, “is it really an in-memory database system?”