Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

HammerDB

MAY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. in the directory storage/innobase/ut the following section has UT_RELAX_CPU defined to call the PAUSE instruction on x86.

Testing 48

Testing Tuning Latency Storage 48

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. faster access to external storage and data locality (I/O, bandwidth). For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Storage provisioning.

Big Data 63

Big Data Storage Benchmarking Hardware 63

High Scalability

JULY 20, 2018

That’s mapping applications to the specific architectural choices. The third wing of the architecture piece is the “domain specific system-on-chip.” And you already see that in machine learning, where there’s a really hot field in terms of deep neural nets and other implementations.

Internet 121

Internet Internet Scalability Automotive 121

Abhishek Tiwari

DECEMBER 27, 2017

There are several emerging data trends that will define the future of ETL in 2018. In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. Event-driven data flow architecture.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Percona

JULY 1, 2023

This post was originally published in July 2018 and was updated in July 2023. It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. What are the differences between Aurora and RDS?

AWS 52

AWS Database Serverless Storage 52