Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 243

AWS Efficiency Azure Cloud 243

Adrian Cockcroft

APRIL 7, 2023

Sunset in Morocco — photo taken by Adrian We want to reduce carbon emissions of our compute and storage workloads, and one way of doing this is to choose a time and place where the “grid mix” of energy consumed is less carbon intensive. AWS calls this an Insufficient Capacity Exception (ICE) and works very hard to avoid it.

Energy 52

Energy AWS Azure Cloud 52

Dynatrace

NOVEMBER 2, 2023

Today, many global industries implement FinOps, including telecommunications, retail, manufacturing, and energy conservation, as well as most Fortune 50 companies. Public, private, and hybrid cloud computing platforms such as Microsoft Azure and Google Cloud provide access, development, and management of cloud applications and services.

Cloud 192

Cloud Strategy Retail Energy 192

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. But energy consumption isn’t limited to training models—their usage contributes significantly more.

Cache 201

Cache Azure Infrastructure Monitoring 201

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia.

AWS 52

AWS Energy IoT Best Practices 52

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

High Scalability

JUNE 15, 2018

1.6x : better deep learning cluster scheduling on k8s; 100,000 : Large-scale Diverse Driving Video Database; 3rd : reddit popularity in the US; 50% : increase in Neural Information Processing System papers, AI bubble? They'll love you even more. John Hennessy & David Patterson ~ We're entering a new golden age [in processors].

Internet 113

Internet Internet Scalability Blockchain 113