Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 261

Cloud Azure Analytics AWS 261

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. Automatic topology analysis. Near-zero overhead.

Analytics 159

Analytics Technology Technology Cloud 159

All Things Distributed

NOVEMBER 30, 2016

Last week, I wrote a blog about helping the machine learning scientist community select the right deep learning framework from among many we support on AWS such as MxNet, TensorFlow, Caffe, etc. Developers can build, test, and deploy chatbots directly from the AWS Management Console.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

The Netflix TechBlog

FEBRUARY 18, 2022

This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns. Event Priority Based Clusters AWS Instance Clusters that subscribe to the corresponding queues with the same priority. From membership related updates to contextual personalization, and more?—?we

Systems 334

Systems Traffic Architecture Mobile 334

The Netflix TechBlog

APRIL 29, 2019

takes place in Amazon Web Services (AWS), whereas everything that happens afterwards (i.e., The service that orchestrates failover uses numpy and scipy to perform numerical analysis, boto3 to make changes to our AWS infrastructure, rq to run asynchronous workloads and we wrap it all up in a thin layer of Flask APIs.

Open Source 279

Open Source Network Infrastructure Big Data 279

Scalegrid

JANUARY 11, 2024

Advanced cloud security monitoring tools, like Exabeam Fusion SIEM and Sumo Logic, provide extensive analysis, integrate with existing infrastructure, and aid organizations in responding to threats while maintaining regulatory compliance and managing potential challenges in integration and functionality.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

OCTOBER 28, 2021

In 2009, the purveyor of online videos migrated to AWS cloud infrastructure to deliver its entertainment to a growing audience. Accelerates innovation. Greater innovation and collaboration from development and SRE teams means better software that meets new customer demands quickly with efficiency and high performance.

Engineering 231

Engineering Entertainment Cloud Infrastructure 231

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Our analysis of packager’s IO patterns determined that the packager makes updates with close proximity to each other?—?at

Cloud 237

Cloud Media Storage Cache 237

All Things Distributed

MARCH 19, 2018

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. Post-training model tuning and rich states. Principal Component Analysis (PCA).

Scalability 159

Scalability Hardware AWS Tuning 159

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. I saw Erik Fisher last time I was in Budapest, and Constantin Gonzalez later became one of the first AWS solutions architects in Germany, too many names to mention.

Tuning 52

Tuning Benchmarking Engineering C++ 52

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. Details on the AWS Blog. for a while already.

Lambda 122

Lambda Cloud IoT AWS 122

The Netflix TechBlog

MARCH 25, 2019

Netflix Data Landscape Freedom & Responsibility (F&R) is the lynchpin of Netflix’s culture empowering teams to move fast to deliver on innovation and operate with freedom to satisfy their mission.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

O'Reilly

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

Dynatrace

NOVEMBER 25, 2019

To validate that the tracks we put together were directly hitting the mark to help organizations transform, I did a lot of data analysis and had conversations with our global customers, partners, and our own team at here at Dynatrace. Zeroing in on the current state of DevOps and autonomous cloud and advancing performance.

DevOps 38

DevOps Software Software Best Practices 38

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. AWS for builds. We did this as AWS was cost-prohibitive. We use nodes in different AWS regions to test bandwidth performance consistently. Ubuntu for server teams.

Architecture 52

Architecture Cache Azure Storage 52