Percona

DECEMBER 27, 2023

According to a 2023 Forrester survey commissioned by Hashicorp , 61% of respondents had implemented, were expanding, or were upgrading their multi-cloud strategy. Nearly every vendor at Kubecon and every person we spoke to had some form of a multi-cloud requirement or strategy. We expect that number to rise higher in 2024.

Cloud 83

Cloud Open Source Strategy Best Practices 83

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

AUGUST 5, 2023

If you don’t have well-designed and small columns for this composite primary key, it could enlarge all of your secondary indexes. HASH partitioning HASH partitioning in MySQL divides a table into partitions based on the hash value of a designated column’s contents. Want to ensure a successful MySQL 5.7

Strategy 40

Strategy Storage Database Best Practices 40

The Morning Paper

JUNE 27, 2019

The thrust of the argument is that there’s a chain of inter-linked assumptions / dependencies from the hardware all the way to the programming model, and any time you step outside of the mainstream it’s sufficiently hard to get acceptable performance that researchers are discouraged from doing so. Challenges optimising whole programs.

Systems 87

Systems Tuning Programming Innovation 87

HammerDB

JANUARY 5, 2019

This post addresses some of the opinions around database benchmarking and gives the top 5 reasons why industry standard benchmarking is important and should be an essential foundation of your database engineering strategy. That is why we run a workload designed exactly for this purpose as it gives us a “benchmark” 2.

Benchmarking 40

Benchmarking Database Social Media Scalability 40

SQL Server According to Bob

JANUARY 11, 2020

Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies. For specific information on I/O tuning and balancing, you will find more details in the following document.

Servers 40

Servers Cache Media Hardware 40

Abhishek Tiwari

JULY 12, 2018

A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable. If tuned for performance, there is a good change reliability is compromised - and vice versa. A data pipeline can process data in a different order than they were received.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Such policies would be designed to mitigate legal problems and require regulatory compliance. of users and 3.9%

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

SQL Server According to Bob

JANUARY 11, 2020

​​ With new ​​ innovations ​​ come ​​ new terms, designs, ​​ and ​​ algorithms. This is different from ​​ the reference count design ​​ that was ​​ used in SQL Server 7.0 and ​​ 2000.

Servers 40

Servers Cache Database Media 40

O'Reilly

SEPTEMBER 19, 2023

Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware. You can download these models to use out of the box, or employ minimal compute resources to fine-tune them for your particular task.

Hardware 99

Hardware Storage Big Data Blockchain 99

O'Reilly

OCTOBER 11, 2022

Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data. It is difficult to answer that kind of question with nothing but data.

Games 116

Games Healthcare Processing Retail 116

High Scalability

NOVEMBER 25, 2019

To help our customers manage ongoing data explosion, we have designed many of the core components over the last few years. I mean that as your scale grows then design patterns and strategies that used to work 2 years ago and allowed you to go from defensive to offensive positioning may buckle under pressure or becomes cost-prohibitive.

Architecture 52

Architecture Cache Azure Storage 52