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.

Watch Scaling IoT Applications – Panel Discussion Part I

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Database Management System News for IoT deployment success

Articles

“The IoT Technology Piece No One Is Talking About” – Embedded Computing Design (Hint: it’s edge nodes, and we’ve been talking about it since 2016.)

DBMS white paper about Tries, aiding in IoT deployment success

White Papers

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.

Webinar about eliminating database corruption and more

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Listen to on-demand Webinars, hosted by database experts. We want to help with your IoT deployment success.

We invite you to review our documentation after watching this video Webinar scaling IoT applications

HTML Documentation

Our eXtremeDB HTML documentation includes an extensive online library to introduce eXtremeDB, walk you through the installation process, and the use of key features.

Online DBMS documentation menu items include:

The eXtremeDB Product Family
eXtremeDB Supported Platforms
What’s New in This Release
Getting Started
eXtremeDB Fundamental Concepts
eXtremeDB User’s Guides
Programming with eXtremeDB
SQL Samples
Using the eXtremeDB Feed Handler. Includes modules for Refinitiv (formerly Thomson Reuters) Elektron Message API (EMA) and Vela SMDS frameworks, as well as a test module provided for demonstration of the Feed Handler Module API.

Is it an in-memory database system, or not?

When you hatch a database management system, it will, by design and implementation, be either an in-memory database system or an on-disk database management system. The choice affects the fundamental optimization strategies that will be baked into the database system code. To optimize an on-disk database is to minimize disk I/O, so its design will use extra CPU cycles and extra memory if doing so will reduce or eliminate I/O. Conversely, IMDSs by definition eliminate all disk I/O; their optimization is all about delivering the highest performance at a given level of processing power, thus reducing demand for CPU cycles is a key objective. And since memory is storage for an IMDS, reducing memory overhead (i.e. RAM consumed for anything other than storing data) is also a key objective.

A hybrid database

eXtremeDB enables the developer to combine in-memory and on-disk paradigms in a single database system. Specifying that data will be stored in memory (transient), or on disk (persistent), requires a simple database schema declaration. The resulting system retains in-memory strengths (speed, footprint, etc.), yet leverages the potential cost savings and durability of an on-disk database.

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Mumbai-based 63 Moons, a global leader in offering technology and domain expertise in creating next-generation market solutions, has adopted the eXtremeDB IMDS in its real-time financial software. 63 Moons deployed eXtremeDB in its Microsoft Windows Server-based DOME (Distributed Order Management Engine) trading platform and in other products.

“eXtremeDB replaces the relational database management system (RDBMS) that previously supported middle-tier functions in existing products….A growing volume of data at this level of the system is what prompted our company to seek a database solution that offers greater efficiency than traditional RDBMS software, which has been a staple of financial markets for several decades.” – 63 Moons

BAE Systems integrates the eXtremeDB in-memory database for avionics in the Panavia Tornado GR4 combat jet. Within the aircraft’s Tornado Advanced Radar/Map Display Information System (TARDIS), eXtremeDB manages tactical information and is updated in real-time from multiple sources. The company chose eXtremeDB rather than developing its own database in order to reduce costs and shorten time-to-market.

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