InfoQ

APRIL 15, 2024

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. The presenter shared the lessons learned from evolving and operating the platform, including cluster management and library versioning. By Rafal Gancarz

Artificial Intelligence 105

Artificial Intelligence Big Data Data Engineering Latency 105

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands. Capabilities for handling diverse data management functions are necessary.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

AUGUST 10, 2021

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”. The fact is, data on its own isn’t meaningful. Tricia quoted the statistic that companies typically use 3% of their data to inform decisions.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

JANUARY 16, 2023

The immense growth of Kubernetes presents new security challenges in runtime and increased complexity in hardening CI/CD pipelines in development. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

Open Source 342

Open Source Java Operating System Programming 342

Dynatrace

APRIL 25, 2023

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 199

Analytics Big Data Media Operating System 199

DZone

APRIL 15, 2022

Since I was dealing with legacy code, I needed to understand the value assigned to each property and also analyze whether it is relevant for the present-day load or not. I had to review my application’s database connection pool (DBCP) properties very closely.

Database 245

Database Code Big Data Performance 245

Dynatrace

MARCH 11, 2021

I took a big-data-analysis approach, which started with another problem visualization. During the implementation of the real-time visualization I presented in part three , I had an idea for another visualization; I wanted to visualize the number of detected problems globally, for a longer timeframe. But that didn’t work for me.

Tuning 263

Tuning Architecture Monitoring Big Data 263

Dynatrace

SEPTEMBER 15, 2020

Stefano started his presentation by showing how much cost and performance optimization is possible when knowing how to properly configure your application runtimes, databases, or cloud environments: Correct configuration of JVM parameters can save up to 75% resource utilization while delivering same or better performance!

Performance 185

Performance Java Metrics Cloud 185

Alex Podelko

DECEMBER 19, 2019

Even when I took out the sessions that don’t directly cover the topics of my primary interests as well as mainframe-specific presentations, I ended up with 21 sessions in 2.5 Boris has unique expertise in that area – especially in Big Data applications. – Optimizing IT infrastructure – with specific use cases.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” AIOps is often presented as a way to reduce the noise of countless alerts, but it can and should be more than that.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

Testsigma

MAY 14, 2021

Data is present on the local server and hence cannot be accessed from everywhere. Data is present on the cloud hence can be accessed from any location. Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. Inexpensive as real devices are not purchased.

Cloud 67

Cloud Testing Testing Tools Internet 67

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g.,

Latency 52

Latency Hardware Cache Architecture 52

All Things Distributed

SEPTEMBER 26, 2014

Or you can plugin, hang out, get some work done, and stick around for evening presentations by innovative startups and community experts. Technical Presentations: AWS Solution Architects, Product Managers, and Evangelists will deliver technical presentations covering some of the highest-rated and best-attended sessions from recent AWS events.

AWS 113

AWS Games Education Innovation 113

All Things Distributed

MAY 27, 2015

Technical Presentations: AWS solution architects, product managers, and evangelists deliver technical presentations covering some of the highest-rated and best-attended sessions from recent AWS events. Bring your questions about AWS architecture, cost optimization, services and features, and anything else AWS related.

AWS 98

AWS Education Big Data Games 98

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. This book presents 14 specific rules that will cut 25% to 50% off response time when users request a page.

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

JULY 16, 2012

It is shaping up to be a great event with many Amazonians, partners and customers presenting in well over 150 sessions. The first annual AWS user and partner conference will be held November 27-29 at The Venetian in Las Vega.

AWS 85

AWS Big Data Media Storage 85

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. billion in 2019 to $40.74 The most recent 2021 trend.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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 113

AWS Government Big Data Cloud 113

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. Computer architecture is an important and exciting field of computer science, which enables many other fields (eg. Why is that? Should we be alarmed as a community?

Architecture 74

Architecture Open Source Hardware Software Engineering 74

Testsigma

JULY 14, 2020

Let us discuss the top benefits of using a data-driven automation testing framework or any DDT tool. Once we have test scripts ready, the same test script can take any number of test input, present in the files as test data. Reusability.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

All Things Distributed

SEPTEMBER 30, 2010

The AWS Events team is organizing a number of events where I will present together with a number of AWS customers: AWS Cloud Computing Event in Berlin on October 7 with AWS customers moviepilot , Cellular , Schnee von morgen and Plinga. AWS Solutions Architect Matt Tavis will present on " Architecting for the Cloud ". Contact Info.

AWS 77

AWS Storage Cloud Best Practices 77

Brendan Gregg

APRIL 30, 2018

Some topics are still present at LISA, such as network management and uptime (reliability), but many others have been updated over the years. Have something to say on the present & future of #ops? Submit #lisa18 talk, training, panel, and demo proposals by May 24 [link]. Hope to see you in Nashville!

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

Some topics are still present at LISA, such as network management and uptime (reliability), but many others have been updated over the years. Have something to say on the present & future of #ops? Submit #lisa18 talk, training, panel, and demo proposals by May 24 [link]. Hope to see you in Nashville!

DevOps 40

DevOps Network Best Practices Programming 40

All Things Distributed

JULY 3, 2011

Next to a presentation by me about HPC on AWS, there is a panel with Japanese HPC experts moderated by Dr Kazuyuki Shudo of Titec. I will be presenting about how CIO strategies for business continuity are changing in the light of increasing business agility. Driving down the cost of Big-Data analytics.

AWS 68

AWS Storage Big Data Cloud 68

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. For testing purposes, usually, a mix of static and dynamic data is needed.

Testing 60

Testing Storage Database Processing 60

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

Rigor

SEPTEMBER 11, 2019

Presented here alphabetically by last name: Rachel Andrew. You’ll find his articles, initiatives, and speaking engagements on his website , and you simply must read his writing about web optimization for Google and watch nearly 50 of his presentations on YouTube. Here is our (ever-growing!) Rachel Andrew. Jason Grigsby. .”

Performance 89

Performance Education Google Website 89

SQL Server According to Bob

JANUARY 15, 2020

Using the ​​ kubectl get pods ​​ and ​​ get nodes ​​ I determined the target node and studied the time range of events present in the journal. ​​​​ The journal of the node is what told the real story and allowed me to understand the behavior.

Servers 40

Servers Metrics Big Data Operating System 40

All Things Distributed

APRIL 23, 2010

Ill be using that information in presentations and some future writings on this topic. Driving down the cost of Big-Data analytics. As examples of such services I always use Twillio (voice &sms) and Simplegeo (location), but it is time to start building out my knowledge of all the different services that are in the ecosystem.

AWS 60

AWS Storage Cloud Big Data 60

SQL Server According to Bob

FEBRUARY 15, 2018

When I started to write this post I thought I knew who all was presenting but then I had to go back over the session lineup to see for myself. Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better.

Engineering 40

Engineering Azure Best Practices Servers 40

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

Highly Scalable

MARCH 10, 2015

Recommender systems have been a subject of extremely intensive research during the last two decades, and books [JZ10, RR10] were written to provide a systematic view on dozens of recommendation algorithms and techniques suggested in numerous articles, presentations and whitepapers. For instance, this vector can contain product gross margins.

Retail 152

Retail C++ Analytics Metrics 152

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243

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. Driving down the cost of Big-Data analytics. This enables Amazon S3 to know what document to serve if one isnt explicitly requested: for example [link]. the index.html from that subdirectory.

AWS 134

AWS Website Storage Servers 134

All Things Distributed

APRIL 27, 2011

For example, to construct a product detail page for a customer visiting Amazon.com, our software calls on between 200 and 300 services to present a highly personalized experience for that customer. Driving down the cost of Big-Data analytics. State management is the heart of any system that needs to grow to very large size.

Technology 151

Technology Technology AWS Storage 151