Article Lambda Linux Microservices 
Linux Academy
APRIL 4, 2019
In the previous articles in this series, I’ve discussed the value proposition of cloud computing and how organizations leverage Amazon Web Services to improve their business agility and operational resilience. In this article, I’ll talk about workforce productivity, as it relates to AWS. Workforce Productivity. Stay tuned.
Linux Academy
MAY 2, 2019
Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further. Questions about the concepts presented in this article? Make sure your staff are properly prepared with hands-on training from Linux Academy. Lowering TCO Through Optimization. Next Steps.
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Linux Academy
MAY 1, 2019
Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further. Questions about the concepts presented in this article? Make sure your staff are properly prepared with hands-on training from Linux Academy. Lowering TCO Through Optimization. Next Steps.
Linux Academy
MAY 1, 2019
Longer term, applications that can be run using microservices, such as Lambda, can reduce costs even further. Questions about the concepts presented in this article? Make sure your staff are properly prepared with hands-on training from Linux Academy. Lowering TCO Through Optimization. Next Steps.
ParkMyCloud
AUGUST 6, 2020
Google partnered with the Linux Foundation in 2015 to form the Cloud Native Computing Foundation (CNCF) and had Kubernetes as one of the seed technologies. Serverless became the new thing, but those who put their eggs in the Kubernetes basket resisted the shift from containers to functions.
Perficient
DECEMBER 2, 2022
You can also run AWS IoT Greengrass on both devices and use it to run Lambda functions and Kinesis Firehose. This is a cool article about running Confluent Kafka on Snowball devices: [link]. Red Hat integration provides MQTT, Kafka, runtimes for your message processing microservices and Open Data Hub for AI/ML.
Apiumhub
APRIL 12, 2023
This provided the freedom in the software development process for Java developers – no need to maintain build machines for Linux, MacOS, Windows, etc – at the cost of reduced performance due to several factors, among others: The intermediate step of the JVM interpreting and executing the compiled byte code.
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