Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. But first, some background. Why containers? In production, containers are easy to replicate.

Open Source 290

Open Source Traffic DevOps Cloud 290

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? How does AWS Lambda work?

Lambda 173

Lambda AWS Serverless Hardware 173

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 105

Availability Database Open Source Hardware 105

Tech News Gather

AUGUST 25, 2022

The open-source UI toolkit has been recording intense popularity among app developers. The technology is an open-source platform, making it simple to understand and work with, improving productivity and efficiency. A company’s responsibility is to provide fresh ideas, therefore they much follow innovative trends.

Development 52

Development Hardware Mobile Open Source 52

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. RDS also simplifies the process of automatic scaling based on workload demand, adding or subtracting replicas to efficiently distribute read requests and reduce costs during low demand.

AWS 52

AWS Database Serverless Storage 52

ACM Sigarch

NOVEMBER 4, 2019

The technical program, put together by program chairs Tor Aamodt and Reetuparna Das , showcased key innovations across a wide range of computer architecture topics, from domain-specific accelerators to in/near-memory computing and from security to quantum computing. . This year’s MICRO had three inspiring keynote talks. Conference.

Hardware 18

Hardware Architecture Programming Innovation 18

The Netflix TechBlog

APRIL 29, 2019

We use and contribute to many open-source Python packages, some of which are mentioned below. Such applications track the inventory of our network gear: what devices, of which models, with which hardware components, located in which sites. If any of this interests you, check out the jobs site or find us at PyCon.

Open Source 279

Open Source Network Infrastructure Big Data 279

O'Reilly

NOVEMBER 28, 2023

16% of respondents working with AI are using open source models. 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). Open source models are a large and diverse group.

Open Source 112

Open Source Artificial Intelligence Google Infrastructure 112

The Agile Manager

JANUARY 22, 2010

While the software was primitive, you could solve many different kinds of problems and perform sophisticated analyses more efficiently than ever (e.g., the simple "what if" forecasting that we can perform in an open-source spreadsheet today was a major breakthrough in productivity 30 years ago). Fast forward 30 years.

Google 40

Google Hardware Education Operating System 40

High Scalability

OCTOBER 24, 2022

Each cloud-native evolution is about using the hardware more efficiently. We would still be building higher and higher on top of VMs because that's where platform innovation would have stopped evolving. We have several players like Cloudflare innovating to become alternative lower-cost cloud providers.

Cloud 187

Cloud Hardware Infrastructure Innovation 187

All Things Distributed

MARCH 19, 2018

Amazon SageMaker training supports powerful container management mechanisms that include spinning up large numbers of containers on different hardware with fast networking and access to the underlying hardware, such as GPUs. Amazon SageMaker algorithms train larger models on more data than any other open-source solution out there.

Scalability 159

Scalability Hardware AWS Tuning 159