Category Archives: Article
A List of 30+ Apache Kafka Performance Benchmarks (2020–2023)
January 1, 2024
Explore evaluations of Kafka’s performance on various cloud platforms, as well as benchmarks against other messaging tools.
Rule-Based Stream Data Processing at the Edge with eKuiper
October 3, 2023
Governed by LF and designed to shift data analytics closer to devices, this lightweight IoT tool is actively advancing toward v2.0.
A Collection of 20+ MQTT Broker Performance Benchmarks (2020–2023)
August 2, 2023
What are the latencies and throughput of Mosquitto, VerneMQ, EMQX, NanoMQ, HiveMQ, RabbitMQ, FlashMQ, ActiveMQ, etc.?
Industrial IoT in Manufacturing: Major Pains for a CTO to Address
July 12, 2023
Aiming for operational improvements, manufacturers are struggling with system complexities. Is there a way out?
LF’s Project Alvarium: Ensuring Trusted IoT Data at the Edge with DLT
May 24, 2023
Supported by Dell, IOTA, Intel, etc., this open-source project assigns trust scores to sensor data, using distributed ledger as immutable storage.
Alternatives to Google Cloud IoT Core—Where to Migrate?
April 26, 2023
Google will sunset its IoT Core on August 16, 2023. Some of the edge devices may become unavailable, experts say.
46% of Medical IoT Devices Have a Vulnerability, a New Study Reveals
April 17, 2023
For 53% of institutions, breaches in connected systems affect patients—e.g., lead to delayed surgeries or transfers to other facilities.
Can Digital Tools Cut Long Wait Times as Banks Fail to Catch Up?
March 30, 2023
As 2022–2023 reports show that consumers wait for too long and expect much more from their providers, banks need to step up.
What Can We Learn from Stanford Hospital’s Use of IoT and Data?
March 23, 2023
By investing $2B in innovations, the medical institution is creating a smart hospital—still, facing technological issues on this journey.
The Challenges of Implementing Data-Driven Personalized Healthcare
March 1, 2023
While innovation and EHRs enable more patient-centric care, ensuring interoperability and providing in-home care can be tricky.