Percona

MARCH 27, 2023

Percona is a leading provider of unbiased open source database solutions that allow organizations to easily, securely, and affordably maintain business agility, minimize risks, and stay competitive. It is an open source database monitoring, management, and observability solution for MySQL, PostgreSQL, and MongoDB.

Open Source 76

Open Source Servers Scalability Cache 76

All Things Distributed

MARCH 19, 2018

For example, training on more data means more accurate models. At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. Now, thousands of customers are trying Amazon SageMaker and building ML models on top of their data lakes in AWS.

Scalability 160

Scalability Hardware AWS Tuning 160

Percona

APRIL 10, 2023

Percona is a leading provider of unbiased open source database solutions that allow organizations to easily, securely, and affordably maintain business agility, minimize risks, and stay competitive. does not support making backups of databases created in MySQL 8.0, It’s time for the release roundup!

Open Source 75

Open Source Servers AWS Database 75

The Netflix TechBlog

MAY 21, 2019

We thought that reinforcement learning would be a promising approach that could provide great flexibility in the training process. Likewise it has very low requirements on the initial amount of training data. Lerner, as a web-service, relies on Amazon Web Services (AWS) and Netflix’s Open Source Software (OSS) tools.

Testing 163

Testing AWS Lambda Network 163

IO River

NOVEMBER 2, 2023

It’s not just limited to cloud resources like AWS and Azure; Terraform is versatile, extending its capabilities to key performance areas like Content Delivery Network (CDN) management, ensuring efficient content delivery and optimal user experience.‍Started This offers not just an audit train but an “audit trail on steroids.”‍A

Open Source 52

Open Source DevOps AWS Azure 52

The Netflix TechBlog

OCTOBER 18, 2022

These include ETL pipelines, ML model training workflows, batch jobs, etc. As the usage increased, we had to vertically scale the system to keep up and were approaching AWS instance type limits. Similarly, ML model training workflows usually consist of tens of thousands of training jobs within a single workflow.

Java 202

Java Scalability Traffic Architecture 202

The Netflix TechBlog

DECEMBER 11, 2020

For storing schema changes, we use an internal library that implements the event sourcing pattern on top of the Cassandra database. Using event sourcing allows us to implement new developer experience features such as the Schema History view. The DGS framework is planned to be open-sourced in early 2021.

Architecture 249

Architecture Best Practices Engineering Open Source 249

IO River

NOVEMBER 2, 2023

In fact, Amazon Web Services (AWS) paved the way with its service, CloudFormation, which introduced the concept of Infrastructure as Code (IaC). Taking inspiration from AWS's CloudFormation, HashiCorp introduced Terraform with a broader vision. This offers not just an audit train but an “audit trail on steroids.”‍A

Open Source 40

Open Source DevOps AWS Azure 40

O'Reilly

AUGUST 8, 2023

At its peak, ChatGPT was in very exclusive company: it’s not quite on the level of Python, Kubernetes, and Java, but it’s in the mix with AWS and React, and significantly ahead of Docker. Langchain is frequently used to look up relevant articles that weren’t in ChatGPT’s training data and package them as part of a lengthy prompt.

Artificial Intelligence 72

Artificial Intelligence Programming Games Open Source 72

Dynatrace

NOVEMBER 12, 2021

AI that uses machine learning requires a slower process in order to train its algorithms. Observability extends beyond the analysis of metrics, logs, and traces to also integrate user experience data, as well as data from the latest open source standards (e.g. And that was well before AWS, Azure, and cloud.

Cloud 176

Cloud Monitoring Network Azure 176

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Smashing Magazine

AUGUST 3, 2023

As an online booking platform, we connect travelers with transport providers worldwide, offering bus, ferry, train, and car transfers in over 30 countries. As our entire infrastructure is already hosted by Amazon Web Services (AWS) , choosing Amazon AWS CloudFront as our CDN solution was an immediate and obvious choice.

Performance 74

Performance Cache Traffic Metrics 74

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” Training models and developing complex applications on top of those models is becoming easier. Or is there still room for growth?

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

MARCH 23, 2023

which has received some specialized training. with specialized training. GPT-2 is open source. GPT-3 and GPT-4 are not open source, but are available for free and paid access. Sydney is based on GPT-4, 1 with additional training. BLOOM An open source model developed by the BigScience workshop.

Google 104

Google Open Source Programming Code 104

O'Reilly

JANUARY 17, 2023

Predictable: The scikit-learn classifiers share a similar interface, so you can invoke the same train() call on each one while passing in the same training dataset. Or that, just maybe, your training data is no good for the challenge at hand. Yes, this calls for a for() loop. Get your results in a few hours. Damn convenient.

Tuning 130

Tuning Open Source AWS Software 130

O'Reilly

OCTOBER 19, 2021

Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Development Layers.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138