Dynatrace

APRIL 11, 2023

The CVE Program, which publishes vulnerabilities as they become known, reported a 25% increase in vulnerabilities between 2021 and 2022. Dynatrace Runtime Vulnerability Analysis now covers the entire application stack – blog Automatic vulnerability detection at runtime and AI-powered risk assessment further enable DevSecOps automation.

Cloud 187

Cloud DevOps Open Source Retail 187

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. Such a combination requires new abstractions and programming models for effective management.

Latency 52

Latency Hardware Cache Architecture 52

All Things Distributed

JANUARY 6, 2016

We believe that with the launch of the Seoul Region, AWS will enable many more enterprise customers in Korea to reduce the cost of their IT operations and innovate faster in critical new areas such as big data analysis, Internet of Things, and more.

AWS 110

AWS Cloud Games Latency 110

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

APRIL 3, 2020

This software can simultaneously perform these actions for hundreds of thousands of ventilators to keep this vital logistical information instantly available for real-time analysis. These questions can be answered using the latest data as it streams in from the field. How many ventilators currently are in repair by make?”.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

This software can simultaneously perform these actions for hundreds of thousands of ventilators to keep this vital logistical information instantly available for real-time analysis. These questions can be answered using the latest data as it streams in from the field. How many ventilators currently are in repair by make?”.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

NOVEMBER 24, 2020

At the same time, telemetry snapshots are stored in a data lake, such as HDFS , for offline batch analysis and visualization using big data tools like Spark. The results of batch analysis are typically produced after an hour’s delay or more. A second key limitation is the lack of real-time aggregate analysis.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

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. Javascript: The Ultimate Beginner’s Guide to Learn JavaScript Programming Step by Step. Javascript by Ryan Turner.

Performance 75

Performance Social Media Website Website Performance 75

Brendan Gregg

APRIL 30, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 40

DevOps Network Best Practices Programming 40

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. With agent monitoring, third-party software collects data and reports from the component that’s attached to the agent.

Cloud 223

Cloud Monitoring Best Practices Infrastructure 223

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. What is test data? The test data required by testing team to test an application can be of two types: 1.

Testing 60

Testing Storage Database Processing 60

Dynatrace

AUGUST 14, 2023

An organization may collect this data the following ways. Using application programming interfaces (APIs) to instrument a wider range of digital touchpoints. By installing a tracking code on its website or integrating its analytics tool with a third-party e-commerce platform, CMS, or Google Analytics.

Analytics 229

Analytics Social Media Website IoT 229

The Netflix TechBlog

APRIL 29, 2019

Device interaction for the collection of health and other operational data is yet another Python application. Python has long been a popular programming language in the networking space because it’s an intuitive language that allows engineers to quickly solve networking problems. It serves as an entry point into any new analysis.

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

OCTOBER 4, 2022

How does a data lakehouse work? Data lakehouses typically provide support for data ingestion through a variety of methods. These include application programming interfaces, streaming, and more. This data lands in its original, raw form without requiring schema definition. Data warehouses.

Artificial Intelligence 209

Artificial Intelligence Storage Analytics Government 209

Rigor

SEPTEMBER 11, 2019

Find his research and analysis on the HTTP Archive Discussion forums. Rick is a senior developer programs engineer at Google, the host of “ The State of the Web ,” as well as the “steward” of HTTPArchive and Chrome UX Report. Would you like to be a part of Big Data and this incredible project?

Performance 89

Performance Education Google Website 89

All Things Distributed

DECEMBER 13, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Highly Scalable

MARCH 10, 2015

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods. In that case, the equation (1.2)

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

NOVEMBER 15, 2010

We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. The early GPU systems were very vendor specific and mostly consisted of graphic operators implemented in hardware being able to operate on data streams in parallel.Â

AWS 136

AWS Latency Programming Architecture 136

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices.

Architecture 12

Architecture Hardware Cache Storage 12

Percona

JANUARY 14, 2019

Currently, an issue has been opened to make the “tailing” based on the primary key much faster: slow order by primary key with small limit on big data. Text analysis. And the results are (here I’m grouping words for each year): For “programming” subreddit: ??year???words??????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????

Database 40

Database Analytics Blockchain Healthcare 40