The Netflix TechBlog

OCTOBER 8, 2024

The Key-Value Abstraction offers a flexible, scalable solution for storing and accessing structured key-value data, while the Data Gateway Platform provides essential infrastructure for protecting, configuring, and deploying the data tier. Let’s dive into the various aspects of this abstraction.

Latency 239

Latency Storage Traffic Tuning 239

The Netflix TechBlog

NOVEMBER 15, 2022

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” VFX studios of varying sizes and locations can leverage these solutions to meet the unique rendering needs of their productions.

Cloud 291

Cloud Entertainment AWS Infrastructure 291

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Data management.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) But the ephemeral storage service for intermediate data is not based on S3.

Storage 112

Storage Engineering Cache Serverless 112

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

MARCH 10, 2023

are stored in secure storage layers. Amsterdam is built on top of three storage layers. To avoid the ES query for the list of indices for every indexing request, we keep the list of indices in a distributed cache. It is also responsible for asset discovery, validation, sharing, and for triggering workflows.

Strategy 264

Strategy Cache Storage Analytics 264

Dynatrace

DECEMBER 13, 2023

This includes how quickly the application loads, how much load it is putting on the device, how much storage is being used, and how frequently it crashes. By analyzing trends in resource consumption and performance metrics, developers can predict future needs and plan for capacity upgrades or infrastructure changes. Issue remediation.

Best Practices 246

Best Practices Mobile Metrics Performance 246

The Netflix TechBlog

SEPTEMBER 10, 2024

This is particularly important as we build out new functionality that relies on Pushy; a strong, stable infrastructure foundation allows our partners to continue to build on top of Pushy with confidence. KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs.

Latency 234

Latency Cache Tuning Efficiency 234

Dynatrace

DECEMBER 20, 2021

Streamlined asset caching: Asset caching is critical for creating accurate replays. Minimal infrastructure impact: The way your session replay tool compresses, stores, and processes video data can have an impact on system performance. Make sure you know what assets your replay tool is recording and how you can access them.

Mobile 264

Mobile Website Analytics Cache 264

Dynatrace

NOVEMBER 5, 2019

Combined, these integration points cover the full application stack from infrastructure monitoring to end-user experience. This enriches the data by providing cloud infrastructure metrics, metadata exposed by Azure combined with the data captured by Dynatrace OneAgent. How does Dynatrace fit in?

Azure 198

Azure Artificial Intelligence Metrics Innovation 198

Dynatrace

SEPTEMBER 13, 2023

Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond A study by Amazon found that increasing page load time by just 100 milliseconds costs 1% in sales.  Beyond efficiency, validating performance thresholds is also crucial for revenues.

AWS 305

AWS Efficiency Azure Cloud 305

All Things Distributed

AUGUST 22, 2011

Today AWS has launched Amazon ElastiCache , a new service that makes it easy to add distributed in-memory caching to any application. Amazon ElastiCache handles the complexity of creating, scaling and managing an in-memory cache to free up brainpower for more differentiating activities. Driving Storage Costs Down for AWS Customers.

Cloud 106

Cloud Cache AWS Storage 106

Dynatrace

OCTOBER 15, 2021

Capturing data is critical to understanding how your applications and infrastructure are performing at any given time. The data is incredibly plentiful and difficult to store over long periods due to capacity limitations — a reason why private and public cloud storage services have been a boon to DevOps teams. What is telemetry data?

Open Source 246

Open Source Metrics Cloud Transportation 246

The Morning Paper

FEBRUARY 6, 2020

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Serverless 98

Serverless Lambda Cache Latency 98

All Things Distributed

DECEMBER 5, 2010

DNS is an absolutely critical piece of the internet infrastructure. There are two main types of DNS servers: authoritative servers and caching resolvers. But the real robustness of the DNS system comes through the way lookups are handled, which is what caching resolvers do. Driving Storage Costs Down for AWS Customers.

Cloud 113

Cloud Internet Internet AWS 113

All Things Distributed

AUGUST 17, 2011

As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. My templates and blog posts are now located in DropBox and thus locally cached at each machine I use. Driving Storage Costs Down for AWS Customers.

Servers 111

Servers Social Media AWS Website 111

High Scalability

JULY 20, 2018

That means multiple data indirections mean multiple cache misses. Mark LaPedus : MRAM, a next-generation memory type, is being touted as a replacement for embedded flash and cache applications. The third wing of the architecture piece is the “domain specific system-on-chip.” They are very expensive.

Internet 121

Internet Internet Scalability Automotive 121

Scalegrid

JANUARY 21, 2025

To monitor Redis instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Advanced monitoring techniques enable you to identify potential issues, such as high latency, CPU utilization, command throughput, and cache hit rate before they become major problems.

Strategy 130

Strategy Monitoring Latency DevOps 130

IO River

NOVEMBER 2, 2023

Common Infrastructure ExpensesYour first step in optimizing CDN expenses isn’t to look for the best-priced solution but to remember that a cheaper price isn’t always the best deal. For example, if you’re deploying the infrastructure for an e-commerce website, security becomes a fundamental requirement.

Infrastructure 52

Infrastructure Traffic Cache Strategy 52

All Things Distributed

OCTOBER 12, 2016

While caching continues to be a dominant use of ElastiCache for Redis, we see customers increasingly use it as an in-memory NoSQL database. Each shard can include up to five read replicas to ensure high availability so that both planned and unforeseen outages of the infrastructure do not cause application outages. Building upon Redis.

Scalability 102

Scalability Cache Analytics AWS 102

All Things Distributed

JANUARY 18, 2012

In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. These services also require the ability to scale infrastructure incrementally to accommodate growth in request rates or dataset sizes.

Scalability 162

Scalability Database Ecommerce Latency 162

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Advanced monitoring techniques enable you to identify potential issues, such as high latency, CPU utilization, command throughput, and cache hit rate before they become major problems.

Strategy 130

Strategy Monitoring Latency DevOps 130

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Given all this, we thought it would be a good opportunity to see how we are doing relative to the competition, and in particular, relative to Microsoft’s AppFabric caching for Windows on-premise servers.

Cache 40

Cache Servers Network Design 40

All Things Distributed

OCTOBER 2, 2017

Our straining database infrastructure on Oracle led us to evaluate if we could develop a purpose-built database that would support our business needs for the long term. All of this is done for you automatically and with zero downtime so that you can focus on your customers, your applications, and your business.

Internet 111

Internet Internet AWS Performance 111

ACM Sigarch

NOVEMBER 4, 2019

The best paper runner-up was “ Dynamic Multi-Resolution Data Storage ”. . Goodman, and “Speculative Cache Ways: On-Demand Cache Resource Allocation” published at MICRO 1999 by David H.

Hardware 18

Hardware Architecture Programming Innovation 18

The Morning Paper

SEPTEMBER 10, 2019

Typically, organizations build specialized infrastructure for each of these use cases. This, however, creates silos of data and processing, and results in a complex, expensive, and harder to maintain infrastructure. Cache all the things. Procella employs multiple caches to mitigate this networking penalty. are divided.

Analytics 75

Analytics Latency Cache Google 75

All Things Distributed

MARCH 5, 2012

Amazon ElastiCache customers will see their prices drop by up to 10%, depending on their cache node types. We continuously apply all our innovative skills to the design of datacenters, servers, storage, network, etc. Similarly, Amazon RDS will cut its On-Demand prices by up to 10% and Reserved Instance prices by up to 42%.

AWS 92

AWS Innovation Scalability Cache 92

IO River

NOVEMBER 2, 2023

Common Infrastructure ExpensesYour first step in optimizing CDN expenses isn’t to look for the best-priced solution but to remember that a cheaper price isn’t always the best deal. For example, if you’re deploying the infrastructure for an e-commerce website, security becomes a fundamental requirement.

Infrastructure 40

Infrastructure Traffic Cache Strategy 40

Percona

JUNE 22, 2023

As such, fault tolerance is more expensive to implement because it requires dedicated infrastructure that completely mirrors the primary system. Components of high availability infrastructure Multiple copies of data Data redundancy helps prevent data loss due to hardware or software failures.

Availability 132

Availability Database Open Source Hardware 132

Smashing Magazine

JUNE 25, 2020

Today, we’ll address storing and serving files for both single-server and scalable deployments while considering factors like compression, caching, and availability. We’ll also discuss the costs and benefits of CDNs and dedicated file storage solutions. First, you’ll need to install the libraries boto3 and django-storages.

Media 77

Media Cache Storage AWS 77

SQL Performance

DECEMBER 17, 2019

One initial, easy step to moving your SQL Server on-premises workloads to the cloud is using Azure VMs to run your SQL Server workloads in an infrastructure as a service (IaaS) scenario. There are also large differences in storage capacity and throughput between these extremes. GHz, 128MB of L3 cache, 128 PCIe 4.0

Azure 72

Azure Virtualization Servers Storage 72

Abhishek Tiwari

NOVEMBER 3, 2018

You should expect one-time implementation cost (depending CMS and business requirements it can cost 200,000 USD to 3M USD) and yearly hosting infrastructure cost (proportional to load and traffic but typically 30,000 USD - 300,000 USD per year). Most of cloud object/blob storage services have native support for static site hosting.

Systems 63

Systems Cache Website Network 63

The Morning Paper

OCTOBER 4, 2020

Three different 5G phones are used, including a ZTE Axon10 Pro with powerful communication (SDX 50 5G modem) and compute (Qualcomm Snapdragon TM855) capabilities together with 256GB of storage. Emerging architectures that shorten the path length, e.g. edge caching and computing, may also confine the latency. Application performance.

Energy 130

Energy Latency Performance Network 130

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision.

Blockchain 94

Blockchain Internet Internet IoT 94

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

O'Reilly Software

JUNE 12, 2018

This meant a lot of time was spent on things like cycle time analysis, build pipeline design, test automation, and infrastructure automation. One of the most intriguing is the idea of “turning the database inside out” where the internal sub-components of a database—storage, log, cache and view—are broken into parts and deployed separately.

Database 72

Database Cache Architecture Latency 72