The Netflix TechBlog

MARCH 5, 2019

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). People Analytics Can we support AB experiments related to recruiting and help improve candidate experience as well as attract solid talent?

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

DECEMBER 21, 2023

Reduce the volume of data volumes requested from databases (for example, request all, filter in memory). Implement appropriate caching layers (for example, read-only cache for static data). A few examples: Reduce roundtrips between services (for example, the N+1 query pattern). Reduce inter-process communications overhead.

Cloud 218

Cloud Energy Best Practices Cache 218

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 99

Monitoring Scalability Cache Database 99

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications.

Scalability 167

Scalability Database Ecommerce Latency 167

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. Author & founder of BangDB. About YCSB.

Benchmarking 308

Benchmarking Latency C++ Database 308

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. Cache all the things. Cache all the things. VLDB’19. are divided. Making Procella fast.

Analytics 75

Analytics Latency Cache Google 75

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The HammerDB name.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes.

Database 167

Database Lambda AWS IoT 167

Dynatrace

NOVEMBER 3, 2021

For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Experienced database administrators learn to spot patterns that can lead to common problems. DevOps practitioners struggle to maintain highly available and scalable applications.

Monitoring 229

Monitoring Metrics DevOps Scalability 229

Percona

JULY 17, 2023

MongoDB Community Edition software might set the stage for achieving your high-volume database goals, but you quickly learn that its features fall short of your enterprise needs. The popularity of MongoDB MongoDB has emerged as a popular database platform. 5 among all database management systems and No. It ranks No.

Open Source 76

Open Source Database Scalability Software 76

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

High Scalability

DECEMBER 18, 2018

Senior DevOps Engineer : Your engineering work will focus on using your deep knowledge of the web stack including firewalls, web applications, caches and data stores ­ to create innovative infrastructure architectures that are resilient, scalable, and blazingly fast.

Healthcare 122

Healthcare Best Practices DevOps Cache 122

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. Every few seconds, the application servers collect batches of snapshots and write them to the database where they can be queried by dispatchers managing the fleet.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Smashing Magazine

AUGUST 3, 2023

But once we had a good understanding, we knew exactly what to look for and began analyzing the analytics of our user data to identify areas that could be improved. We can then forward this data to a custom analytics service. We realized that we needed to consider a more global and scalable solution to better serve our global audience.

Performance 74

Performance Cache Traffic Metrics 74

Percona

JUNE 4, 2023

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

Open Source 52

Open Source Servers Storage Scalability 52

All Things Distributed

AUGUST 22, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Systems that make extensive use of caching almost all report a significant reduction in the cost of their database tier.

Cloud 117

Cloud Cache AWS Storage 117

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. REDIS for caching. 3 Log Analytics. If you want to learn more about log analytics, check out my YouTube tutorial on Log Analytics and look out for our product team’s blog on log analytics. Full-stack observability. End-to-end code-level tracing. Service mash insights.

AWS 128

AWS Monitoring Ecommerce Lambda 128

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Disk based caching.

Architecture 52

Architecture Cache Azure Storage 52

The Morning Paper

SEPTEMBER 19, 2019

MongoDB is an important database, and this paper explains the tunable (per-operation) consistency models that MongoDB provides and how they are implemented under the covers. Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time.

Blockchain 46

Blockchain Hardware Google Analytics 46

All Things Distributed

NOVEMBER 21, 2017

Amazon ElastiCache embodies much of what makes fast data a reality for customers looking to process high volume data at incredible rates, faster than traditional databases can manage. Redis's microsecond latency has made it a de facto choice for caching. TB of in-memory capacity in a single cluster.

Games 112

Games Retail Latency Education 112

All Things Distributed

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. To do so, weve leaned heavily on the core principles from the distributed systems and database research communities and invented from there. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. All Things Distributed.

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Often these namespaces are hierarchical in nature such that it becomes easier to manage them and to decentralize control, which makes the system more scalable. There are two main types of DNS servers: authoritative servers and caching resolvers.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. If you have a largely static site you can rely on the enormous power of S3 to make serving your content highly scalable and storing it extremely durable. My templates and blog posts are now located in DropBox and thus locally cached at each machine I use.

Servers 126

Servers Social Media AWS Website 126

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 145

Performance Cache Network Metrics 145

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. The Need to Keep It Simple. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores. The Need to Keep It Simple. ScaleOut StateServer uses different techniques on EC2 and Azure to make use of available metadata support.

Cloud 40

Cloud Azure Virtualization Scalability 40

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. Of course, your data might show that your customers are not on these devices, but perhaps they simply don’t show up in your analytics because your service is inaccessible to them due to slow performance.

Performance 104

Performance Cache Network Metrics 104

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time.

Big Data 154

Big Data Processing Lambda Database 154