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

Scalegrid

MAY 13, 2020

Some of the Greenplum Database analytics capabilities highlighted by Pivotal include the ability to analyze a multitude of data types, leverage existing SQL knowledge, and train more models in less time by using the MPP architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Scalegrid

JANUARY 12, 2024

With extensive computational resources at their disposal alongside massive pools of information, developers can utilize these powerful tools to train ML models efficiently or run AI algorithms effectively by accessing stored datasets from anywhere through the internet connection provided by most reputable providers’ hosting services.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. But what does it take to migrate your existing applications to the cloud?

Cloud 165

Cloud Traffic Best Practices Strategy 165

O'Reilly

NOVEMBER 12, 2019

Given that Amazon’s AWS Lambda functions are only five years old this November, anyone with more than three years of experience is a very early adopter. These features evolve quickly as vendors vigorously compete to attract and retain customers—making up-to-date formal training difficult to maintain. Custom tooling” ranked No.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

The Symphonia

JUNE 19, 2018

We’ve got you covered), partnering with friends on a fascinating open source project, our most comprehensive training course yet, plenty of speaking engagements (see our expanding portfolio of talks that we can give to your team here ), and a revisit of an old friend. Great stuff! This is not as easy a task as one might imagine. You got it!

Serverless 40

Serverless AWS DevOps Open Source 40

Dynatrace

JUNE 1, 2021

With the scale, diverse functionality, and dynamic nature of cloud platforms such as AWS, Azure, and GCP, APM solutions need to just work without configuration or model training. With the Davis® AI engine at its core, Dynatrace provides precise answers to complex questions in real time. Advanced cloud observability.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Adrian Cockcroft

NOVEMBER 13, 2023

Then that capacity is then offered on the spot market, which lowers the spot price, and someone uses those instances for an opportunistic CPU intensive workload like crypto or AI training, which they only run when the cost is very low.

Energy 52

Energy Cloud Traffic Transportation 52

The Symphonia

DECEMBER 6, 2017

The light show at the re:Play party Another re:Invent has come and gone, and us mere AWS-using mortals are now rapidly trying to sort the wheat from the chaff of a heady harvest of announcements. It’s funny to think that AWS Lambda was announced at re:Invent only 3 years ago?—?the skip to the end if you want my take on those.

Serverless 40

Serverless Lambda AWS Traffic 40

O'Reilly

NOVEMBER 28, 2023

Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). report that the difficulty of training a model is a problem.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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

O'Reilly

MAY 19, 2020

Live online training, videos, books, certification prep, and more, from O’Reilly and our partner publishers. AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true.

Cloud 141

Cloud Serverless AWS Architecture 141

High Scalability

JULY 6, 2018

tyingq : This is why AWS and Azure continue to gain market share in cloud, while Google remains relativity stagnant, despite (in many cases) superior technology. Their sales staff is arrogant and has no idea how to sell into F500 type companies. These perturbations can be thus considered a program for the new task.

Internet 110

Internet Internet Scalability Google 110

High Scalability

NOVEMBER 25, 2019

Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Tens of petabytes of data stored in our servers and other object stores such as GCS, S3 and Azure Blobstore. AWS for builds. Data interdependence. Level of concurrent reads.

Architecture 52

Architecture Cache Azure Storage 52