Brendan Gregg

APRIL 29, 2018

Apart from networking, attending conferences like LISA in person is an effective way to upgrade your skills: you can block out work interruptions and absorb new knowledge that's been neatly summarized into sessions. Have something to say on the present & future of #ops? Hope to see you in Nashville!

DevOps 40

DevOps Network Best Practices Programming 40

All Things Distributed

AUGUST 16, 2011

Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. Several agencies of very different parts of the government have needs for data analytics that really put the Big in Big-Data, sometimes several orders of magnitude larger than commonly found in industry.

AWS 111

AWS Government Big Data Cloud 111

Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. These next-generation cloud monitoring tools present reports — including metrics, performance, and incident detection — visually via dashboards.

Cloud 220

Cloud Monitoring Best Practices Infrastructure 220

Scalegrid

MARCH 14, 2024

When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere. Capabilities for handling diverse data management functions are necessary. It should offer user-friendly operation.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Rigor

SEPTEMBER 11, 2019

Presented here alphabetically by last name: Rachel Andrew. One of the top players in web performance, Ilya is a web performance engineer at Google, co-chair of the W3C Web Performance Working Group , and author of High Performance Browser Networking. Would you like to be a part of Big Data and this incredible project?

Performance 89

Performance Education Google Website 89

Dynatrace

AUGUST 10, 2021

She’s quite clear about which kinds of data, though. Sudden Compass is made up of strategists, product leaders, data analysts, and network-builders. She dispelled the myth that more big data equals better decisions, higher profits, or more customers. Investing in data is easy but using it is really hard”.

DevOps 246

DevOps Innovation Big Data Cloud 246

O'Reilly

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hardware 99

Hardware Storage Big Data Blockchain 99

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203

Storage Latency Efficiency Data Engineering 203

All Things Distributed

FEBRUARY 17, 2011

The other document you can specify is a customer error page that is presented to your customers when a 4XX class error occurs (e.g. I have used a bucket policy to make all documents world readable, but you could create one that restricts it to referrers, network address range, time of day, etc. the index.html from that subdirectory.

AWS 134

AWS Website Storage Servers 134

Highly Scalable

MAY 1, 2012

Let us start with a simple example that illustrates capabilities of probabilistic data structures: Let us have a data set that is simply a heap of ten million random integer values and we know that it contains not more than one million distinct values (there are many duplicates). what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

All Things Distributed

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. Driving down the cost of Big-Data analytics.

Technology 151

Technology Technology AWS Storage 151

Smashing Magazine

AUGUST 9, 2021

But there’s that inner personal actual relationship required in the terms of safety that I’m talking about, as opposed to, yeah, someone anonymous on the internet or some anonymous entity trying to get your data, things like that. Drew: Yes, it presents all sorts of challenges, doesn’t it? ” Eva: It becomes a really big problem.

Design 98

Design Education Network Google 98

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. The second work presented a novel scalable distributed capability mechanism for security and protection in such systems.

Architecture 12

Architecture Hardware Cache Storage 12

All Things Distributed

NOVEMBER 30, 2016

in ML and neural networks) and access to vast amounts of data. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models. Facial Analysis. I am pleased to share some of the positive feedbacks from our beta customers.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

Testsigma

FEBRUARY 12, 2021

Presently we know it is far from easy to forecast the future – all of us have discovered this in 2020 through major ups and downs. But in expectation of the big developments in tech trials for 2021, as we had forecast of last year for 2020 , we are looking forward to renewed hope. Autonomous Test Automation. billion in 2019 to $40.74

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). Below we present some thoughts on the why and one solution to address the issue. Networking sessions that create opportunities for students to interact with graduate students and established architects in academia and industry. Why is that?

Architecture 74

Architecture Open Source Hardware Software Engineering 74