Date: 26 January 2023
Time: 7 AM PST (4 PM CET)
Duration: 90 minutes
Date: 27 January 2023
Time: 10:30 AM Sydney
(8:30 AM Seoul)
Duration: 90 minutes
Modern Embedded Systems Data Monitoring, Analytics, and Storage
Come join our latest Live Workshop, where you will practice and learn how to make your next data driven embedded IoT device.
Description
High availability (HA) and Disaster Recovery (DR) for embedded and IoT devices relate to what it takes to make the system operate continuously, since downtime will cause serious problems and revenue loss. When designing reliable embedded systems, maximizing uptime and minimizing data loss are important objectives that require careful planning by developers and architects. While cloud computing may mitigate edge limitations, the location of cloud data centers, security, and connections introduce issues.
How important is HA for embedded systems evolution and IoT at the edge? Embedded systems are built with hardware and software which includes operating systems, database, compiler, etc. Each component plays an essential role, and ITTIA’s HA and DR focus relates to data and database. Redundancy and fault tolerance are important. Due to the complexity of the scenarios and the heterogeneity of IoT devices, edge data management is not a trivial task.
The first step to delivering a resilient IoT edge solution is recognizing potential faults, such as unexpected power loss and flash wear. ITTIA DB offers software solutions for DR and HA on both microcontroller and microprocessor devices that leverage redundant storage media, sensors, devices, and networks to increase uptime for data stored on the IoT edge. Devices that are individually only 98% reliable can offer over 99.9% uptime when connected by ITTIA DB. Benefits include increased reliability, higher security, and lower cost of data ownership.
During this workshop, we will introduce key factors for HA and DR architecture on embedded systems and IoT edge devices. You will rapidly learn how to:
- Prevent data loss from media failure or temporary removal
- Deploy automatic failover with zero downtime after a failure event
- Make autonomous decisions with live data from redundant sensors
- Increase sensor accuracy and eliminate gaps in the sensor data timeline
- Protect data integrity with database transactions
- Reduce network overhead with hot standby queries
Prerequisites
- Access to the internet and required equipment to attend the session online
- Basic familiarity with database fundamentals, C and C++ programming languages
- Familiarity with embedded and MCU/MPU device characteristics
Objectives
Attendees will be introduced to a global leading IoT data management platform to reliably process and secure edge data. They will be quickly introduced to high availability challenges for data management and data processing on edge devices and learn important options for countering failure risks.
A reliable database can be the unsung hero of the IoT era. Without it, there would likely be no expectations of sensors and devices being able to monitor, collect and analyze time-series data and make the system highly available. In many respects, the database is the glue that holds embedded systems built with MCUs and MPUs data and implementation together. A database enables real-time data management and analysis of IoT edge device data and links connected sensors and device information on the edge. What occurs if an embedded system crashes due to an excessive load or other faults?
Do you allow a single point of failure to bring your embedded system down and stop critical functions? Preventing that outcome is possible. During a component failure event, an embedded system can continue to manage and analyze data.
Agenda
ITTIA provides a hybrid embedded database system with less administrative overhead and a small memory footprint but with robust features. ITTIA DB is suited for building mission-critical embedded systems for which characteristics such as high availability and fault tolerance are important. Our goal with this workshop is to rapidly empower you to learn and experience HA for data management and data analysis required for modern embedded systems.
- What is high availability, fault tolerance, and mirroring?
- What failure modes uniquely affect IoT edge devices?
- Prerequisites for high availability in embedded IoT systems
- Using failover to maximize availability with minimal downtime
- How does remote real-time data streaming and analytics minimize data loss?
- Securing embedded data during mirroring, failover, and remote analysis
Enrollment
The cost for this training seminar is USD 300 unless you are offered a promotion code.
