The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Government Innovation 130

Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. Read/Write latency. Data Placement. System Coordination.

Database 213

Database Latency C++ Scalability 213

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. The Linux default is usually 60 , which is not ideal for database usage. The CFQ works well for many general use cases but lacks latency guarantees.

Best Practices 52

Best Practices Design Tuning Database 52

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203

Storage Latency Efficiency Data Engineering 203

Percona

DECEMBER 11, 2023

Here, we will discuss a notable new feature in Amazon RDS, the Dedicated Log Volume (DLV), that has been introduced to boost database performance. A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables.

AWS 97

AWS Benchmarking Performance Traffic 97

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

JANUARY 18, 2012

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. Amazon DynamoDB offers low, predictable latencies at any scale.

Scalability 167

Scalability Database Ecommerce Latency 167

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. A new record entering a database table. Dynatrace news. What is AWS Lambda?

Lambda 186

Lambda AWS Serverless Hardware 186

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? What we should really compare is the MySQL and Aurora database engines provided by Amazon RDS. How do I choose which one to use?

AWS 52

AWS Database Serverless Storage 52

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. As the amount of data grows, the need for efficient data compression becomes increasingly important to save storage space, reduce I/O overhead, and improve query performance. provides higher compression rates.

Storage 108

Storage Network Open Source Latency 108

The Netflix TechBlog

OCTOBER 27, 2020

The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store. As most key-value storage engines support efficiently deleting a namespace (e.g.

Latency 243

Latency Storage Big Data Tuning 243

Percona

MARCH 20, 2023

When designing an architecture, many components need to be considered before deciding on the best solution. In this scenario, it is also crucial to be efficient in resource utilization and scaling with frugality. In short, each cluster is, in reality, a single database with high availability and other functionalities built in.

Games 121

Games Latency Traffic Cache 121

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. Our system doesn’t require strict consistency guarantees and does not use database transactions.

Traffic 279

Traffic Metrics Systems Strategy 279

High Scalability

SEPTEMBER 8, 2018

New databases used to be announced seemingly every week. While database neogenesis has slowed down considerably, it has not gone necrotic. Anna is not only incredibly fast, it’s incredibly efficient and elastic too: an autoscaling, multi-tier, selectively-replicating cloud service. What's changed ?

Storage 199

Storage Performance AWS Efficiency 199

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. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

The Netflix TechBlog

NOVEMBER 2, 2021

For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. VQS is called using the measureQuality endpoint.

Media 171

Media Innovation Metrics Latency 171

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 172

Cloud Traffic Best Practices Strategy 172

The Morning Paper

FEBRUARY 6, 2020

’ Stateless is fine until you need state, at which point the coarse-grained solutions offered by current platforms limit the kinds of application designs that work well. On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access.

Lambda 98

Lambda Serverless Cache Latency 98

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 197

Database Traffic Transportation Open Source 197

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 212

Database Traffic Transportation Open Source 212

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Percona

JANUARY 24, 2023

Such “torn pages” are corruptions from the database point of view. This is not a problem for PostgreSQL alone; every database software needs to deal with this problem. Individual processes generate WAL records, and latency is very crucial for transactions. This is generally referred to as “ partial page writes ” or “ torn pages.”

Database 117

Database Benchmarking Open Source Latency 117

The Morning Paper

JANUARY 28, 2020

In databases you probably know it as stored procedures. Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " These V8 isolates sit in the middle of the three layer design within each storage node as the storage function layer.

Serverless 99

Serverless Storage Latency Cloud 99

The Morning Paper

OCTOBER 26, 2020

On the surface this is a paper about fast data ingestion from high-volume streams, with indexing to support efficient querying. It’s limited by the laws of physics in terms of end-to-end latency. federated machine learning and federated database management systems) seems a reasonable way of describing what’s going on here.

Cloud 104

Cloud Big Data Latency Architecture 104

Particular Software

SEPTEMBER 20, 2021

Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. There are more steps, so the increased latency is easily explained. Garbage collectors are designed under the assumption that memory should be cleaned up reasonably quickly.

Benchmarking 97

Benchmarking Latency Servers Systems 97

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? We’ve seen similar high marshalling overheads in big data systems too.)

Cache 79

Cache Latency Google Lambda 79

Percona

MAY 15, 2023

The main reason behind this is that MySQL is a relational database system (RDBMS), and any data that is going to be written in it must respect the RDBMS rules. This level of distribution will seriously affect the efficiency of the operation, which will increase the response time significantly. This is it.

Traffic 124

Traffic Scalability Database Servers 124

The Morning Paper

SEPTEMBER 10, 2019

When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. are divided. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

All Things Distributed

APRIL 17, 2013

While DynamoDB already allows you to perform low-latency queries based on your tableâ??s This gives you the ability to perform richer queries while still meeting the low-latency demands of responsive, scalable applications. DynamoDB stores information as database tables, which are collections of individual items.

Cloud 114

Cloud Latency Games Scalability 114

Smashing Magazine

SEPTEMBER 28, 2022

On design systems, UX, web performance and CSS/JS. Server caches help lower the latency between a Frontend and Backend; since key-value databases are faster than traditional relational SQL databases, it will significantly increase an API’s response time. More after jump! Jump to online workshops ?. Caching Schemes.

Cache 126

Cache Performance Servers Social Media 126

All Things Distributed

SEPTEMBER 3, 2013

Today, we added two important choices for customers running high performance apps in the cloud: support for Redis in Amazon ElastiCache and a new high memory database instance (db.cr1.8xlarge) for Amazon RDS. No single database architecture or solution can meet all of Amazon.com’s or our customers’ needs.

Cache 129

Cache Cloud Performance Retail 129

Dotcom-Montior

DECEMBER 8, 2021

ITSM defines how teams design, create, and deliver their services. The IT service catalog is typically a database or resource that an organization creates to provide users with information on their operational services and offerings. This helps to improve efficiency and ensures that information is consistent, up-to-date, and available.

Social Media 90

Social Media Monitoring Latency DevOps 90

The Netflix TechBlog

MARCH 6, 2019

Video encoding is what MezzFS was originally designed for and remains one of its canonical use cases, so we’ll focus on video encoding to describe the problem that MezzFS solves. MezzFS collects metrics on data throughput, download efficiency, resource usage, etc. in Atlas , Netflix’s in-memory dimensional time series database.

Media 214

Media Storage Processing Cache 214