In a recent Fish Fry podcast, ITTIA President Sasan Montaseri joined Amelia Dalton to chat about the challenges of real-time data management, the best security practices when it comes to embedded IoT edge data management and how ITTIA can help you manage your embedded systems real-time data in a single database solution.
To manage sensor data for various devices in an embedded system, such as a smart gateway, data must be first processed, transferred, or stored. Advancements in networking technologies, like 5G wireless, have solved data transfer challenges whenever connectivity becomes available. But what about when there is poor or no connectivity? How should data computing continue?
The world of IoT is facing a problem. Edge devices and sensors are so prevalent that organizing incoming data is a challenge. Sensor readings are frequently out of order, resources heavily constrained, and debugging can be a nightmare. These problems are no issue for ITTIA, who’ve developed a solution for rapidly handling all your data at the edge. ITTIA DB IoT provides an API to handle every insertion, query and export of time-series data with ease and high performance. Below, I will walk you through some of the benefits and functionalities of this API and why it is needed.
As a developer of embedded systems, you need to predict possible attacks for your system and take the necessary steps to prevent them. To prevent these attacks, vulnerable areas of the database are a common target. But what and where are these vulnerable areas? Does the database provide the required prevention methods so developers can focus on susceptible areas of their applications?
For embedded systems and IoT devices, data management security is critical because of the roles that these mission-critical machines play in our lives. Insecure data management practices and systems create a tremendous number of vulnerabilities and risks. Data and data management software are essential for the accuracy and dependability of these intelligent devices. Manufactures of IoT devices and embedded systems must recognize the data management security risks and available options when they design, develop, and deploy their systems.
Regular backups are a common technique to protect critical data from hardware failure. But for embedded devices that continuously collect and analyze IoT sensor data for months or years at a time, a full backup is often too large to run frequently. Instead, incremental backups ensure that new data is continuously protected. Devices also need to run autonomously, without a system administrator, so any backup solution needs to be easy to automate.
Advances in computing greatly impact the way we will go about our lives. From agriculture using robotics to manage the day-to-day care of livestock to fast food restaurants finding ways to minimize waste, autonomous systems are revolutionizing every industry. Because intelligently applied automation improves quality, consistency, and efficiency, we are willing to put our trust in the intelligence and reliability of autonomous systems that will manage and store important data.
The Internet of Things, IoT, is inviting devices to change our lives. From managing home appliances to vehicles interacting with roads and cities, devices can advise one on what to do, what to eat, where to go and how to get there. When it comes to the industrial aspect of IoT, devices assist in managing processes during which alarm management adds value to predict faults and catastrophes. Things are getting embedded with and controlled by smart devices that come together to automate tasks, so we can maximize our time. Intelligent things can collect, transmit and understand information.
IoT endpoint devices are responsible for so much information, IoT software developers need to carefully consider how data will be managed and stored. Managing data collected on sensors, gateway devices, and embedded systems is a complex task, especially over a long period of time. Data is everything in modern development practices, with many convenient ways to manage, access, and share information. Yet ARM embedded software developers still use flat files to store information in market-dependent formats that are difficult to efficiently analyze and communicate to other systems.
The integration of ITTIA DB SQL and Micrium’s µC/OS delivers high-performance data processing for mission-critical applications.
“As the market for secure, intelligent, and connected devices is constantly expanding, developers of these embedded devices seek the freedom to use standards such as SQL without relying on internet connectivity,” said Sasan Monteseri, ITTIA president and founder. “This need drove our collaboration with Micrium, leveraging our combined expertise to bring a powerful data processing capability to embedded systems.”
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