Percona

DECEMBER 27, 2023

of respondents are currently utilizing databases in Kubernetes (k8s). These indicators suggest that the adoption of databases on k8s is in its early stages and is likely to continue growing in the future. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 79

Cloud Open Source Strategy Best Practices 79

Adrian Cockcroft

JUNE 21, 2022

I really enjoyed the variety of working with several different customers every day, on different problems, and being part of an extremely innovative and fast growing company. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

Percona

OCTOBER 18, 2023

Migrating a proprietary database to open source is a major decision that can significantly affect your organization. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier.

Open Source 92

Open Source Database Hardware Strategy 92

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. But first, some background. Why containers? Watch webinar now!

Open Source 294

Open Source Traffic DevOps Cloud 294

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more. We’ll say more about this later.)

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

All Things Distributed

MARCH 19, 2018

Streaming algorithms also natively consume ephemeral data sources such as Amazon Kinesis streams, pipes, database query results, and almost any other data source. To seamlessly switch between CPU and GPU machines, we use Apache MXNet to interface with the underlying hardware. Post-training model tuning and rich states.

Scalability 159

Scalability Hardware AWS Tuning 159