Cache Hardware Java 
Dynatrace
JANUARY 16, 2023
Java, Go, and Node.js On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors. Java, Go, and Node.js Java Virtual Machine (JVM)-based languages are predominant.
The Netflix TechBlog
MARCH 8, 2021
They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. Instead, we created a service to take the most popular configurations and cache them. A gRPC Java Spring Boot control plane and a Golang agent manages and reports on the lifecycle.
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DZone
MAY 19, 2019
Even if my application runs in the cloud on the JVM, despite all of those software layers abstracting away the underlying hardware, the volatile keyword is still needed due to the cache of the processor that my software runs on. The Volatile Keyword and the Cache of Modern Processors.
Brendan Gregg
MARCH 16, 2024
Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. You're just saving a pushl, movl, an series of operations that (for obvious reasons) is highly optimized on x86. The actual overhead depends on your workload.
The Morning Paper
MAY 23, 2019
Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. Existing cache and main memory compression techniques compress data in small fixed-size blocks, typically cache lines. Hotpads is a hardware-managed hierarchy of scratchpad-like memories called pads.
All Things Distributed
JULY 14, 2015
Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. DynamoDB Streams enables your application to get real-time notifications of your tables’ item-level changes.
Highly Scalable
APRIL 2, 2012
The rationale behind these methods is that frontend should be able to fetch transient information very efficiently and separately from fetching of heavy-weight domain entities because this information cannot be cached. So, the only way was to cache all necessary data to minimize interaction with RDBMS.
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