All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Big Data 112

Big Data Analytics AWS Scalability 112

The Netflix TechBlog

JULY 15, 2021

His favorite TV shows: Ozark, Breaking Bad, Black Mirror, Barry, and Chernobyl Since I joined Netflix back in 2011, my favorite project has been designing and building the first version of our entertainment knowledge graph. I was later hired into my first purely data gig where I was able to deepen my knowledge of big data.

Data Engineering 189

Data Engineering Engineering Entertainment Big Data 189

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

DZone

DECEMBER 28, 2020

The introduction of innovative technologies has brought the newest updates in software testing, development, design, and delivery. Nowadays, Big Data tests mainly include data testing, paving the way for the Internet of Things to become the center point. Besides, AI and ML seem to reach a new level.

Software 186

Software Software Testing Big Data 186

Dynatrace

OCTOBER 25, 2022

NoOps is an advanced transformation of DevOps where many of the functions needed to manage, optimize and secure IT services and applications are automated within the design. This risk leads many to question the practicality of DevOps, which makes the idea of NoOps more attractive. Thus, the concept of NoOps takes DevOps a step further.

DevOps 217

DevOps Big Data Cloud Innovation 217

Uber Engineering

AUGUST 14, 2019

Once identified, … The post Less is More: Engineering Data Warehouse Efficiency with Minimalist Design appeared first on Uber Engineering Blog. In our experience, optimizing for operational efficiency requires answering one key question: for which tables does the maintenance cost supersede utility?

Efficiency 110

Efficiency Engineering Design Storage 110

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. After a fixed number of iterations is exhausted, the optimizer returns the “best” configuration solution (i.e.,

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

OCTOBER 4, 2022

While data lakehouses combine the flexibility and cost-efficiency of data lakes with the querying capabilities of data warehouses, it’s important to understand how these storage environments differ. Data warehouses. Data warehouses were the original big data storage option.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

The Netflix TechBlog

JUNE 1, 2021

clinical data was often small enough to fit into memory on an average computer and only in rare cases would its computation require any technical ingenuity or massive computing power. There was not enough scope to explore the distributed and large-scale computing challenges that usually come with big data processing.

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

Dynatrace

AUGUST 10, 2021

BPAY is in the midst of its digital transformation journey in which it is discovering the critical importance of developing “contemporary ways of designing, operating, and using” its software. She dispelled the myth that more big data equals better decisions, higher profits, or more customers. No matter how much you collect.

DevOps 246

DevOps Innovation Big Data Cloud 246

Scalegrid

MARCH 28, 2024

Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. It is designed to cache plain text values, offering fast read and write access to frequently accessed data. Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future.

Cache 130

Cache Storage Scalability Architecture 130

The Netflix TechBlog

JUNE 1, 2021

At Netflix, the work that data engineers do to produce data in a robust, scalable way is incredibly important to provide the best experience to our members as they interact with our service. Through these cross-functional efforts, I’ve also really gotten to learn and appreciate the nuances of payments.

Data Engineering 138

Data Engineering Engineering Software Engineering Big Data 138

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. What follows is a discussion of where big data systems might be heading, heavily inspired by the remarks in this paper, but with several of my own thoughts mixed in.

Cloud 104

Cloud Big Data Latency Architecture 104

Dynatrace

DECEMBER 15, 2022

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. ITOps vs. AIOps.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Like the development and design phases, these applications generate massive data volumes that offer relevant and actionable insights.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

The Netflix TechBlog

MARCH 2, 2021

Later I enrolled in a data science program focused on helping academics transition to industry roles. A passion for making informed decisions based on data. Working on my PhD, I was using optimization techniques to design radiotherapy fractionation schemes to improve the results of clinical practices.

Analytics 207

Analytics Innovation C++ Engineering 207

High Scalability

APRIL 14, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). Learn to balance architecture trade-offs and design scalable enterprise-level software. Who's Hiring? InterviewCamp.io Try out their platform.

Education 105

Education Software Engineering Scalability Engineering 105

High Scalability

MAY 12, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). Learn to balance architecture trade-offs and design scalable enterprise-level software. Who's Hiring? InterviewCamp.io Try out their platform.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

APRIL 28, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). Learn to balance architecture trade-offs and design scalable enterprise-level software. Who's Hiring? InterviewCamp.io Try out their platform.

Education 102

Education Software Engineering Scalability Engineering 102

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.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

High Scalability

MAY 26, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). Learn to balance architecture trade-offs and design scalable enterprise-level software. Who's Hiring? InterviewCamp.io Try out their platform.

Education 100

Education AWS Software Engineering Scalability 100

High Scalability

MARCH 30, 2020

has hours of system design content. They also do live system design discussions every week. Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

Dynatrace

MARCH 14, 2022

AIOps (or “AI for IT operations”) uses artificial intelligence so that big data can help IT teams work faster and more effectively. As healthcare providers consider AIOps solutions, they should evaluate whether traditional AIOps approaches designed for correlation can enable long-term success.

Healthcare 227

Healthcare Artificial Intelligence Innovation Strategy 227

Dynatrace

JUNE 1, 2020

Application discovery, tracing and diagnostics (ADTD): Application discovery, tracing and diagnosis is a set of processes designed to understand the relationships between application servers, map transactions across these nodes, and enable the deep inspection of methods using bytecode instrumentation (BCI) and/or distributed tracing.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

Dynatrace

JUNE 1, 2020

Application discovery, tracing and diagnostics (ADTD): Application discovery, tracing and diagnosis is a set of processes designed to understand the relationships between application servers, map transactions across these nodes, and enable the deep inspection of methods using bytecode instrumentation (BCI) and/or distributed tracing.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Percona

JANUARY 19, 2023

This may not be a huge problem for small tables, but for tables with millions of records, overprovisioning data types will only make the table to be bigger in size and performance, not the most optimal. Make sure you design the data types correctly while planning for the future growth of the table.

Open Source 86

Open Source Storage Database Big Data 86

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. To maximize performance benefits, a thorough understanding of individual data objects (e.g.,

Latency 52

Latency Hardware Cache 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. Designing for Performance. High Performance Responsive Design. Responsive Web Design. Mobile First.

Performance 75

Performance Social Media Website Website Performance 75

CSS - Tricks

OCTOBER 7, 2021

With the KendoReact Data Grid component, you can pass in a detail prop with an arbitrary React component to show when a row is expanded. Responsive Design. Perhaps the most notoriously difficult thing to pull off with <table> designs is how to display them on small screens. Filtering Data. Super flexible!

Big Data 59

Big Data C++ Virtualization Design 59

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.” But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

All Things Distributed

AUGUST 16, 2011

The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 113

AWS Government Big Data Cloud 113

The Morning Paper

JUNE 23, 2019

Why are developers using RInK systems as part of their design? Generally to cache data (including non-persistent data that never sees a backing store), to share non-persistent data across application services (e.g. A high CPU cost due to marshalling data to/from the RInK store formats to the application data format.

Cache 79

Cache Latency Google Lambda 79

InfoQ

APRIL 15, 2024

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. By Rafal Gancarz

Artificial Intelligence 105

Artificial Intelligence Big Data Data Engineering Latency 105

KeyCDN

OCTOBER 2, 2018

Codrops Codrops features blogs with topics ranging from UI design and page animations to image formatting and general JavaScript practices. A List Apart A List Apart focuses on UX and branding from business and design-oriented perspectives. Topics include web design, security, web-based tools and workflows and more.

Development 75

Development Website Design Code 75

All Things Distributed

DECEMBER 20, 2017

The founders had noticed that in many companies, product designers worked in a very detached manner from the rest of production. In this way, designers are part of an ecosystem in which the functionalities of simulations, data and people come together, enabling them to develop better products faster. Value creation through data.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. of companies invest over US$ 50 million in initiatives such as Artificial Intelligence (AI) and Big Data in 2020, up from 39.7% Many changes are rendered through automated testing. from $12.6

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92