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 184

Performance Java Metrics Cloud 184

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

The Morning Paper

OCTOBER 26, 2020

As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, but there’s a lot more to it than that. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper.

Cloud 104

Cloud Big Data Latency Architecture 104

Dynatrace

MARCH 11, 2021

I took a big-data-analysis approach, which started with another problem visualization. This is what I wanted to optimize and avoid and many traditional (or homegrown) systems aren’t doing this. This time defines when Dynatrace will invoke the integration to 3 rd party system for a problem after it has been detected.

Tuning 263

Tuning Architecture Monitoring Big Data 263

Dynatrace

JUNE 29, 2022

For example, workflows from both public and private cloud resources can support an application. A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Hybrid cloud architecture vs. multicloud architecture.

Infrastructure 180

Infrastructure Cloud Azure AWS 180

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Processed 4.15

Database 40

Database Analytics Blockchain Healthcare 40

The Netflix TechBlog

OCTOBER 15, 2019

Another issue exists for the capture of schema changes, where some systems, like MySQL, don’t support transactional schema changes [1][2]. By their nature, they can only rely on the lowest common denominator of participating systems. That system quickly grew very complex and became difficult to maintain.

Transportation 192

Transportation Architecture Processing Storage 192

Highly Scalable

MARCH 1, 2012

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. Document databases advance the BigTable model offering two significant improvements.

Database 279

Database Ecommerce Efficiency Engineering 279

All Things Distributed

SEPTEMBER 5, 2013

Over the past few years, two important trends that have been disrupting the database industry are mobile applications and big data. The explosive growth in mobile devices and mobile apps is generating a huge amount of data, which has fueled the demand for big data services and for high scale databases.

Big Data 98

Big Data Mobile Latency Database 98

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. Current Telematics Architecture.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

All Things Distributed

JANUARY 6, 2016

For example, Samsung Electronic Printing used AWS to deploy its Printing Apps Center in a way that didn’t require them to invest up-front capital and kept total costs quite low. We’ve also been hearing many requests from Korean companies, including large enterprises like Samsung and Mirae Asset.

AWS 110

AWS Cloud Games Latency 110

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

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. Within seconds, the software performs aggregate analysis of this data for all real-time digital twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. Why are developers using RInK systems as part of their design? Fetching too much data in a single query (i.e.,

Cache 79

Cache Latency Google Lambda 79

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. Government and Big Data. All Things Distributed. Comments ().

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Amazon S3 is much more than just storage; the network and distributed systems infrastructure to ensure that content can be served fast and at high rates without customers impacting each other, is amazing. Job Openings in AWS - Senior Leader in Database Services.

Servers 126

Servers Social Media AWS Website 126

All Things Distributed

AUGUST 20, 2012

Werner Vogels weblog on building scalable and robust distributed systems. This is apparent in the Media industry where film re-edits, for example, are no longer just about revisiting the original 35mm or 65 mm film but rather all the digital content captured by the 2K or 4K cameras that were used during filming. All Things Distributed.

Storage 122

Storage Cloud AWS Media 122

Highly Scalable

MAY 1, 2012

On the other hand, when one is interested only in simple additive metrics like total page views or average price of conversion, it is obvious that raw data can be efficiently summarized, for example, on a daily basis or using simple in-stream counters. what is the cardinality of the data set)? Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Naming is one of the fundamental concepts in Distributed Systems. By Werner Vogels on 05 December 2010 02:00 PM.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

JUNE 29, 2011

Werner Vogels weblog on building scalable and robust distributed systems. For example, when our retail customers contributed to create larger economies of scale for Amazon.com, we used the savings to lower pricing such that our customers could also benefit. Job Openings in AWS - Senior Leader in Database Services. Comments ().

AWS 104

AWS Retail Innovation Strategy 104

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. End-to-End Schema Evolution Schema is a key component of Data Mesh.

Big Data 253

Big Data Government Analytics Processing 253

All Things Distributed

JANUARY 11, 2011

Werner Vogels weblog on building scalable and robust distributed systems. DROAM - Dreaming about Cheap Data Roaming. The one thing that I have always struggled with during my travels are the data plans of the cell phone companies. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Wireless 107

Wireless AWS Internet Internet 107

All Things Distributed

MAY 24, 2011

Werner Vogels weblog on building scalable and robust distributed systems. allthingsdistributed.com) point to same location where for example www.allthingsdistributed.com is pointing to jump through complex redirect hoops. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. All Things Distributed.

Internet 114

Internet Internet AWS Scalability 114

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Not just for HPC but for mission critical enterprise systems such as OLTP. Dedicated High Performance Compute clusters require significant capital investments and their procurement often has longer lead times than many enterprise class server systems.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

APRIL 23, 2010

Werner Vogels weblog on building scalable and robust distributed systems. 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. Job Openings in AWS - Senior Leader in Database Services.

AWS 60

AWS Storage Cloud Big Data 60

All Things Distributed

APRIL 28, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. You need to be able to place your systems in locations where you can minimize the distance to your most important customers.

AWS 61

AWS Cloud Latency Storage 61

All Things Distributed

DECEMBER 3, 2009

Werner Vogels weblog on building scalable and robust distributed systems. This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. All Things Distributed.

AWS 60

AWS Cloud Latency Storage 60

Highly Scalable

MARCH 10, 2015

Most of this article represents an overview of the results published by retailers and researchers who built practical decision making and optimization systems combining abstract economic models with data mining methods. The models above can be embedded into a framework similar to the equation (1.4) Applications.

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

DECEMBER 3, 2009

Werner Vogels weblog on building scalable and robust distributed systems. A wide variety of operating systems and software configurations is available for use. with more memory or CPU), a different operating system (e.g., with new security patches installed), or add new user data. All Things Distributed. Comments ().

AWS 60

AWS Storage Operating System Cloud 60

KeyCDN

OCTOBER 2, 2018

It’s awesome for discovering how grid systems, CSS animation, Big Data, etc all play roles in real-world web design. Subjects like version control, crowdfunding, database selection and code editor choices are essential to efficient modern workflows, and this is a good place to start learning about them.

Development 75

Development Website Design Code 75

The Netflix TechBlog

MARCH 25, 2019

Finally, imagine yourself in the role of a data platform reliability engineer tasked with providing advanced lead time to data pipeline (ETL) owners by proactively identifying issues upstream to their ETL jobs. Let’s review a few of these principles: Ensure data integrity ?—?Accurately Enable seamless integration?—?

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

OCTOBER 18, 2022

by Jun He , Akash Dwivedi , Natallia Dzenisenka , Snehal Chennuru , Praneeth Yenugutala , Pawan Dixit At Netflix, Data and Machine Learning (ML) pipelines are widely used and have become central for the business, representing diverse use cases that go beyond recommendations, predictions and data transformations.

Java 202

Java Scalability Traffic Architecture 202

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

All Things Distributed

DECEMBER 13, 2009

Werner Vogels weblog on building scalable and robust distributed systems. Ideally these applications will periodically save their state into, for example, EBS or Amazon S3 and upon restart read the last saved state and continue their work. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Cloud 63

Cloud AWS Storage Innovation 63

The Netflix TechBlog

DECEMBER 21, 2020

Use cases We found several use cases where a system like AutoOptimize can bring tons of value. Some of the optimizations are prerequisites for a high-performance data warehouse. Sometimes Data Engineers write downstream ETLs on ingested data to optimize the data/metadata layouts to make other ETL processes cheaper and faster.

Storage 203

Storage Latency Efficiency Data Engineering 203

All Things Distributed

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. And while many of our systems are based on the latest in computer science research, this often hasnt been sufficient: our architects and engineers have had to advance research in directions that no academic had yet taken. All Things Distributed. Comments ().

Technology 151

Technology Technology AWS Storage 151