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IoT solutions

Microsoft Windows IoT for Client Systems: A Historical Journey and Today's Latest Innovations
Winsage
December 23, 2024

Microsoft Windows IoT for Client Systems: A Historical Journey and Today’s Latest Innovations

Microsoft's Windows Embedded and Windows IoT products began in 1999 with Windows NT Embedded, codenamed Impala. Windows XP Embedded, known as Mantis, expanded toolkit capabilities with tools like Target Designer and Component Designer. Windows Embedded POSReady 2009 catered to the point-of-sale sector, maintaining a consistent kernel across consumer and embedded versions. Windows CE supported mobile devices with various architectures and reached its end of support in 2023. Windows Embedded 7 Standard and Windows 7 for Embedded Systems required special licensing agreements. Windows Embedded Standard 8 did not succeed in the industrial market, while Windows 10 IoT Enterprise, launched in 2015, introduced LTSB/LTSC options with a decade of security updates. A tiered licensing structure was introduced for Windows 10 IoT Enterprise, accommodating different CPU performances. The Base license allowed Windows 10 IoT Enterprise on industrial Arm devices, specifically the NXP i.MX8 family. Windows 11 21H2 established the General Availability Channel for IoT, with Windows 11 IoT Enterprise 2024 LTSC set to debut in May 2024. Windows 11 IoT Enterprise LTSC supports Arm Qualcomm CPUs and introduces features like USB 4.0 and Wi-Fi 6/7 support, along with a commitment to 10 years of security updates. Windows 10 IoT Enterprise 2021 LTSC will remain supported until 2031.
How PostgreSQL Enhances Performance and Scalability in IoT Solutions
Tech Optimizer
October 29, 2024

How PostgreSQL Enhances Performance and Scalability in IoT Solutions

PostgreSQL is an open-source relational database system favored for its versatility, extensibility, and ability to handle large volumes of data and complex queries efficiently. In 2024, approximately 57,629 companies adopted PostgreSQL, reflecting its growing popularity in IoT applications. PostgreSQL supports scalable IoT application development through custom data types, advanced indexing options (like B-tree and GiST), and JSON/JSONB support for semi-structured data. Its indexing techniques enhance performance, particularly for geolocation data, while partitioning allows for manageable data handling in rapidly growing datasets. PostgreSQL effectively manages time-series data through TimescaleDB, optimizing storage and retrieval for historical information. High availability features, such as asynchronous replication and point-in-time recovery, ensure data integrity and resilience in IoT systems.
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