The Netflix TechBlog

APRIL 27, 2023

While Atlas is architected around compute & storage separation, and we could theoretically just scale the query layer to meet the increased query demand, every query, regardless of its type, has a data component that needs to be pushed down to the storage layer. This is one of the reasons it has taken us years to get here.

Storage 293

Storage Cache Metrics Database 293

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

DZone

OCTOBER 11, 2022

Making Google’s CalDAV and CardDAV APIs available for everyone ( Google Developers Blog). Pandora launches new HTML5 site for TVs and gaming consoles, available now on PS3 and Xbox 360 ( The Next Web). Using MongoDB as a cache store ( Architects Zone – Architectural Design Patterns & Best Practices). Hacker News).

Java 244

Java Best Practices Google Analytics 244

Dynatrace

JANUARY 16, 2023

That trend will likely continue as Kubernetes security awareness further rises and a new class of security solutions becomes available. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase. Databases : Among databases, Redis is the most used at 60%.

Open Source 358

Open Source Java Operating System Programming 358

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. Snowflake is a data warehouse designed to overcome these limitations, and the fundamental mechanism by which it achieves this is the decoupling (disaggregation) of compute and storage. joins) during query processing. Disaggregation (or not).

Storage 112

Storage Engineering Cache Serverless 112

The Netflix TechBlog

OCTOBER 8, 2024

However, storing and querying such data presents a unique set of challenges: High Throughput : Managing up to 10 million writes per second while maintaining high availability. Storage Layer The storage layer for TimeSeries comprises a primary data store and an optional index data store. Note : With Cassandra 4.x

Latency 235

Latency Storage Traffic Infrastructure 235

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

Availability 132

Availability Database Open Source Hardware 132

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Architecture Scalability 130

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.” via direct plug-ins, and is available on multi-cloud platform services. Additionally, Conductor supports render management systems?—?including

Cloud 286

Cloud Entertainment AWS Infrastructure 286

Percona

FEBRUARY 1, 2023

This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability. Therefore, TOAST is a storage technique used in PostgreSQL to handle large data objects such as images, videos, and audio files.

Storage 111

Storage Scalability Strategy Performance 111

Dynatrace

SEPTEMBER 13, 2023

The Site Reliability Guardian helps automate release validation based on SLOs and important signals that define the expected behavior of your applications in terms of availability, performance errors, throughput, latency, etc. This workflow uses the Dynatrace Site Reliability Guardian application.

AWS 305

AWS Efficiency Azure Cloud 305

The Netflix TechBlog

SEPTEMBER 10, 2024

Throughout this evolution, we’ve been able to maintain high availability and a consistent message delivery rate, with Pushy successfully maintaining 99.999% reliability for message delivery over the last few months. When our partners want to deliver a message to a device, it’s our job to make sure they can do so.

Latency 230

Latency Cache Tuning Efficiency 230

The Netflix TechBlog

MAY 4, 2023

It provides a good read on the availability and latency ranges under different production conditions. Given the scale of the data being generated using replay traffic, we record the responses from the two sides to a cost-effective cold storage facility using technology like Apache Iceberg.

Traffic 343

Traffic Latency Tuning Systems 343

Percona

APRIL 24, 2023

Effectively, the memory available for pages of the table gets less. The more indexes, the more the requirement of memory for effective caching. If we don’t increase the available memory, this starts hurting the entire performance of the system. Less-effective cache results in more datafile read, so read I/O is increased.

Tuning 139

Tuning Cache Storage Database 139

Dynatrace

DECEMBER 20, 2021

Streamlined asset caching: Asset caching is critical for creating accurate replays. Tools that feature client-side compression can help reduce total data transfer volumes and storage footprints. To maximize ROI, make sure your provider is up-front about the costs of recording, transfer, storage, and use before making the move.

Mobile 264

Mobile Website Analytics Cache 264

Percona

FEBRUARY 15, 2023

For good performance, the filter blocks are cached in the RocksDB block cache and normally stay there since they are accessed frequently. LSM storage engines like MyRocks are very different from the more common B-Tree-based storage engines like InnoDB. Download Percona Distribution for MySQL Today

Storage 138

Storage Tuning Cache Engineering 138

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. blog comments powered by Disqus. Contact Info.

Cloud 105

Cloud Cache AWS Scalability 105

The Netflix TechBlog

MARCH 7, 2023

Marken Architecture Our goal was to help teams at Netflix to create data pipelines without thinking about how that data is available to the readers or the client teams. We store all OperationIDs which are in STARTED state in a distributed cache (EVCache) for fast access during searches. They pass annotations along with the OperationID.

Media 268

Media Latency Architecture Database 268

Dynatrace

NOVEMBER 5, 2019

Available as an agent installer). Our DEM offering also includes: Synthetics – Run browser-based workflow tests from multiple geographic locations for scoring availability of your applications before end-users experience issues. Dependency agent Installation – Maps connections between servers and processes.

Azure 198

Azure Artificial Intelligence Metrics Innovation 198

Percona

MARCH 23, 2023

By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Typically a good value is 70%-80% of available memory.

Performance 144

Performance Hardware Tuning Storage 144

Percona

APRIL 7, 2023

MySQL comes pre-configured to be conservative instead of making the most of the resources available in the server. But since retrieving data from disk is slow, databases tend to work with a caching mechanism to keep as much hot data, the bits and pieces that are most often accessed, in memory. Why is that?

Tuning 145

Tuning Cache Servers Benchmarking 145

Percona

MARCH 28, 2023

The same data, in the form of pages inside the Wiredtiger cache, are also marked dirty. At every checkpoint interval (Default 60 seconds), MongoDB flushes the modified pages that are marked as dirty in the cache to their respective data files (both collection-*.wt This happens at every journalCommitIntervalMs. wt and index-*.wt).

Hardware 111

Hardware C++ Storage Cache 111

Dynatrace

APRIL 8, 2019

With rich offerings available in platform services and the growing popularity of serverless application architectures, new challenges in monitoring have emerged. Redis Cache. Storage blobs, tables, queues, and files. Virtual machines. Virtual machine scale sets. Azure application services. Azure functions. Load balancer.

Azure 150

Azure Monitoring Serverless Virtualization 150

VoltDB

MARCH 21, 2024

The most obvious and common way this happens is when companies try to evolve their caches into a data platform that can, for example, be used as highly available enterprise key-value stores for volatile data. Let’s look at a typical scenario involving the javax cache API, also known as JSR107. How hard can it be?

Cache 52

Cache Database Storage Availability 52

Scalegrid

JANUARY 21, 2025

To achieve optimal tracking results it is important to choose wisely among available tools like Prometheus or Grafana, which offer deeper insights into understanding your Redis instances for better performance optimization. When it comes to Redis monitoring, the market has a variety of tools that can help you collect and observe data.

Strategy 130

Strategy Monitoring Latency DevOps 130

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

Percona

JUNE 22, 2023

Database uptime and availability Monitoring database uptime and availability is crucial as it directly impacts the availability of critical data and the performance of applications or websites that rely on the MySQL database.

Performance 135

Performance Monitoring Traffic Database 135

Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. REDIS for caching. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 170

AWS Monitoring Ecommerce Lambda 170

All Things Distributed

DECEMBER 5, 2010

I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. There are two main types of DNS servers: authoritative servers and caching resolvers. Caching techniques ensure that the DNS system doesnt get overloaded with queries. Comments (). Syndication.

Cloud 112

Cloud Internet Internet AWS 112

All Things Distributed

JANUARY 18, 2012

It is very gratifying to see all of our learning and experience become available to our customers in the form of an easy-to-use managed service. 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.

Scalability 162

Scalability Database Ecommerce Latency 162

Scalegrid

DECEMBER 21, 2023

To achieve optimal tracking results it is important to choose wisely among available tools like Prometheus or Grafana, which offer deeper insights into understanding your Redis® instances for better performance optimization. When it comes to Redis® monitoring, the market has a variety of tools that can help you collect and observe data.

Strategy 130

Strategy Monitoring Latency DevOps 130

Smashing Magazine

MAY 25, 2022

The code below illustrates how to use WeakSet() and some of the methods available: const human = new WeakSet(); let paul = {name: "Paul"}; let mary = {gender: "Mary"}; // Add the human with the name paul to the classroom. WeakMap can be used in two areas of web development: caching and additional data storage. Additional Data.

Cache 128

Cache Programming Storage Code 128

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

All Things Distributed

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. Driving Storage Costs Down for AWS Customers.

Technology 129

Technology Technology AWS Storage 129

Smashing Magazine

DECEMBER 23, 2020

The service workers enable the offline usage of the PWA by fetching cached data or informing the user about the absence of an Internet connection. When developing a PWA, you can cache the application shell’s resources and assets in the browser. Cached content with IndexedDB. Cache first, then network. Service Workers.

Cache 136

Cache Internet Internet Google 136

High Scalability

FEBRUARY 19, 2019

Redis Cluster is the native sharding implementation available within Redis that allows you to automatically distribute your data across multiple nodes without having to rely on external tools and utilities. At ScaleGrid, we recently added support for Redis Clusters on our platform through our fully managed Redis hosting plans.

Availability 204

Availability Open Source Cache Storage 204