The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer is also tested on a 100-server GCE cluster with the Social Network microservices application. ASPLOS’19. This was deployed for a two-month period and had 582 registered users with 165 daily actives.

Big Data 45

Big Data Cloud Performance Hardware 45

DZone

DECEMBER 21, 2020

Applications used in the field of Big Data process huge amounts of information, and this often happens in real time. Naturally, such applications must be highly reliable so that no error in the code can interfere with data processing. It is an open-source framework for distributed processing of large amounts of data.

Code 150

Code Java Big Data Open Source 150

Dynatrace

JULY 6, 2022

Testing automation can be painstaking. It’s also crucial to test frequently when automating IT operations so that you don’t automatically replicate mistakes. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation.

Artificial Intelligence 187

Artificial Intelligence Tuning Strategy Big Data 187

Testsigma

MAY 14, 2021

Cloud-based testing has become quite integral these days. Most businesses have already done the shift towards cloud-based testing. The traditional testing that was done on the software installed on local servers is now slowly fading away. Cloud-based testing comprises cloud-based test automation as well.

Cloud 67

Cloud Testing Testing Tools Internet 67

Testsigma

MAY 26, 2021

In today’s world where ‘data is the new oil’ ( as said by Clive Humby), not giving proper attention to data-driven testing is not justified. If you have an application that needs data input in some form then it will require data-driven testing. Scenario 1: Tabular data . Scenario 2: Data Arrays.

Testing 70

Testing Healthcare Performance Testing Website 70

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.

Tuning 210

Tuning Efficiency Big Data Engineering 210

Testsigma

JULY 14, 2020

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

DZone

DECEMBER 21, 2020

Setting up a data warehouse is the first step towards fully utilizing big data analysis. Still, it is one of many that need to be taken before you can generate value from the data you gather. An important step in that chain of the process is data modeling and transformation.

Big Data 189

Big Data Google Scalability Processing 189

Scalegrid

NOVEMBER 25, 2019

Google Cloud does offer their own wide column store and big data database called Bigtable which is actually ranked #111, one under ScyllaDB at #110 on DB-Engines. Google Cloud Platform (GCP) was the second most popular cloud provider for ScyllaDB, coming in at 30.4% of all cloud deployments.

Big Data 187

Big Data Database Open Source Azure 187

Dynatrace

JANUARY 16, 2023

This trend shows that organizations are dedicating significantly more Kubernetes clusters to running software build, test, and deployment pipelines. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

Open Source 342

Open Source Java Operating System Programming 342

The Netflix TechBlog

JUNE 1, 2021

His favorite TV shows: Bojack Horseman , Marco Polo , and The Witcher His favorite movies: Scarface, I Am Legend and The Old Guard Sam, what drew you to data engineering? Many healthcare practitioners had strong hunches and wild theories that were exciting to test against an empirical study.

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

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. The test data management for the company had become a big problem and had to be solved.

Testing 60

Testing Storage Database Processing 60

Dynatrace

MARCH 14, 2022

Over the past decade, the industry moved from paper-based to electronic health records (EHRs)—digitizing the backbone of patient data. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

Healthcare 226

Healthcare Artificial Intelligence Innovation Strategy 226

The Netflix TechBlog

SEPTEMBER 18, 2020

I bring my breadth of big data tools and technologies while Julie has been building statistical models for the past decade. I focus on improving experimentation methodology to test how well the newest files are working: do they need less bits to stream while providing a higher video quality? Do they cause less errors?

Analytics 223

Analytics Education Innovation Engineering 223

Percona

JANUARY 19, 2023

Example: Creating four simple tables to store strings but using different data types: db1 test> CREATE TABLE tb1 (id int auto_increment primary key, test_text char(200)); Query OK, 0 rows affected (0.11 sec) db1 test> CREATE TABLE tb3 (id int auto_increment primary key, test_text tinytext); Query OK, 0 rows affected (0.13

Open Source 91

Open Source Storage Database Big Data 91

Dynatrace

APRIL 11, 2023

Shifting left is the practice of moving testing, quality, and performance evaluation early in the development process, often before code is written. Shift right refers to testing software in real-world production conditions to ensure it can hold up under load.

Cloud 185

Cloud DevOps Open Source Retail 185

The Netflix TechBlog

MARCH 2, 2021

Learning through data is in Netflix’s DNA. We use A/B tests to introduce new product features, such as our daily Top 10 row that help our members discover their next favorite show. I was doing data science without realizing it. Data scientists can take on any aspect of an experimentation project.

Analytics 207

Analytics C++ Innovation Engineering 207

Dynatrace

SEPTEMBER 15, 2020

Supported technologies include cloud services, big data, databases, OS, containers, and application runtimes like the JVM. performance test) when the application reaches a stable throughput without violating response time constraints. Akamas also enables you to automate the analysis of the experiment metrics in powerful ways.

Performance 184

Performance Java Metrics Cloud 184

Alex Podelko

DECEMBER 19, 2019

Boris has unique expertise in that area – especially in Big Data applications. – Henrik will discuss today’s load testing challenges – and Neotys is at the forefront in this area. – Integrating performance testing into DevOps is a hot topics – and Jaishankar will share the unique Wayfair experience.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

DZone

MAY 5, 2021

Any analysis and prediction in data analytics across industries experience what I call maybe syndrome. Your best bet to overcome this is to have the right set of data and tools in your arsenal.

Analytics 195

Analytics Testing Big Data Code 195

DZone

DECEMBER 14, 2020

In industries like banking, there's a real need for real-time data. Introduction We are living in the cloud age, which means developers do not need to set up their own local machine or dedicate on-premise environment to implement, test and run their application. They just create a VM machine in the cloud to perform those tasks.

Cloud 177

Cloud Testing Development Performance 177

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. Data-driven strategies and battle tested techniques will make you a master of mobile-and improve your non-mobile design, too!

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

DECEMBER 20, 2017

Take the example of industrial manufacturing: in prototyping, drafts for technologically complex products are no longer physically produced; rather, their characteristics can be tested in a purely virtual fashion at every location across the globe by using simulations. The German startup SimScale makes use of this trend.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Scalegrid

FEBRUARY 8, 2024

Balancing these factors requires careful management to ensure data remains consistent and available despite potential network divisions. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

JANUARY 11, 2011

Some friends brought me into contact with Phillip Attore in Amsterdam who was running a Beta test for a new business: rent a mifi device for a few dollars a day with 50MB per day included. I received one of these devices and tested it for the last three months of 2010 when I was almost continuously on the road.

Wireless 107

Wireless AWS Internet Internet 107

The Netflix TechBlog

JULY 21, 2022

We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform. With large data, comes the opportunity to leverage the data for predictive and classification based analysis.

Big Data 179

Big Data Cache Engineering Data Engineering 179

All Things Distributed

JULY 11, 2011

As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region. No Server Required - Jekyll & Amazon S3.

AWS 85

AWS Storage Cloud Big Data 85

Testsigma

SEPTEMBER 8, 2021

If I consider current times, it has become a core concept in development, management, analytics, and also – automation testing. Cloud-based automation testing is a simple concept. We leverage cloud resources to accomplish our automation testing goals in the project. If not, it is recommended to go through this post first.

Cloud 76

Cloud Testing AWS Testing Tools 76

The Netflix TechBlog

APRIL 29, 2019

Orchestration The Big Data Orchestration team is responsible for providing all of the services and tooling to schedule and execute ETL and Adhoc pipelines. These libraries are the primary way users interface programmatically with work in the Big Data platform.

Open Source 279

Open Source Network Infrastructure Big Data 279

All Things Distributed

MAY 24, 2011

A good starting point is the upcoming World IPv6 Day when many organizations will offer their content and services through IPv6 such that the readiness of the different devices, protocols and applications can be tested. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region.

Internet 114

Internet Internet AWS Scalability 114

Dynatrace

AUGUST 14, 2023

A/B testing allows organizations to compare two versions of a web or app experience and then determine which one performs better. Dynatrace enables organizations to understand user behavior with big data analytics based on gap-free data, eliminating the guesswork involved in understanding the user experience.

Analytics 228

Analytics Social Media Website IoT 228

KeyCDN

OCTOBER 2, 2018

If you frequently rely on Pens to test ideas, this blog is a must-read for its highlights of new functionalities. It’s awesome for discovering how grid systems, CSS animation, Big Data, etc all play roles in real-world web design. Visit website 10. Visit website 12. Visit website 22.

Development 75

Development Website Design Code 75

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. But before that new code can be deployed, it needs to be tested and reviewed from a security perspective.

DevOps 194

DevOps Artificial Intelligence Healthcare Innovation 194

The Netflix TechBlog

FEBRUARY 16, 2021

Operational Efficiency: The majority of the changes require metadata configuration files and library code changes, usually taking days of testing and service release to adopt the updates. Overall, it simplified SKU selections and increased our testing and product delivery confidence.

Mobile 209

Mobile Engineering Infrastructure Scalability 209

The Netflix TechBlog

NOVEMBER 20, 2023

IPS enables users to continue to use the data processing patterns with minimal changes. Introduction Netflix relies on data to power its business in all phases. Backfill: Backfilling datasets is a common operation in big data processing. Apache Iceberg Iceberg is a high-performance format for huge analytic tables.

Processing 210

Processing Big Data Efficiency Engineering 210

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 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