The Netflix TechBlog

MARCH 10, 2023

are stored in secure storage layers. Amsterdam is built on top of three storage layers. And finally, we have an Apache Iceberg layer which stores assets in a denormalized fashion to help answer heavy queries for analytics use cases. It is also responsible for asset discovery, validation, sharing, and for triggering workflows.

Strategy 264

Strategy Cache Storage Analytics 264

The Netflix TechBlog

OCTOBER 8, 2024

We do not use it for metrics, histograms, timers, or any such near-real time analytics use case. Flexible Storage : The service is designed to integrate with various storage backends, including Apache Cassandra and Elasticsearch , allowing Netflix to customize storage solutions based on specific use case requirements.

Latency 239

Latency Storage Traffic Tuning 239

Dynatrace

DECEMBER 20, 2021

Improved analytic context. While data analysis tools such as Google Analytics provide statistics based on user experiences, they lack details about what the user is doing and experiencing. Streamlined asset caching: Asset caching is critical for creating accurate replays. Are these costs consistent? Transparent?

Mobile 264

Mobile Website Analytics Cache 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. This can be achieved by reducing the size of files or images, using caching, and compressing data. Optimize images and videos.

Best Practices 246

Best Practices Mobile Metrics Performance 246

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. PostgreSQL & Elastic for data storage. REDIS for caching. Robert’s AWS & EKS admin team are monitoring most services with that capability but found it beneficial for them to have Dynatrace monitor Elastic File Storage (EFS). 3 Log Analytics. Full-stack observability.

AWS 170

AWS Monitoring Ecommerce Lambda 170

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 305

AWS Efficiency Azure Cloud 305

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

Dynatrace

NOVEMBER 5, 2019

Digital Experience Monitoring (DEM) – A fully integrated DEM enables monitoring of the end-user experience for your applications while also providing data for business-level analytics. Dynatrace does this by querying Azure monitor APIs to collect platform metrics.

Azure 198

Azure Artificial Intelligence Metrics Innovation 198

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 103

Cloud Cache AWS Storage 103

Scalegrid

JANUARY 21, 2025

To monitor Redis instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

JUNE 22, 2023

This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index. query cache: Disable (query_cache_size: 0, query_cache_type:OFF) innodb_adaptive_hash_index: Check adaptive hash index usage to determine its efficiency.

Performance 136

Performance Monitoring Traffic Database 136

All Things Distributed

JUNE 21, 2018

This consistent performance is a big part of why the Snapchat Stories feature , which includes Snapchat's largest storage write workload, moved to DynamoDB. The data warehouse also persists the processed data directly into Aurora MySQL and Amazon Redshift to support both operational and analytical queries.

Database 166

Database AWS Games Latency 166

Scalegrid

DECEMBER 21, 2023

To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. They may even help develop personalized web analytics software as well as leverage Hashes, Bitmaps, or Streams from Redis Data Types into a wider scope of applications such as analytic operations.

Strategy 130

Strategy Monitoring Latency DevOps 130

Brendan Gregg

APRIL 14, 2022

The Netflix stack is more diverse than I was expecting, and is explained in detail in the [Netflix tech blog]: The production cloud is AWS EC2, Ubuntu Linux, Intel x86, mostly Java with some Node.js (and other languages), microservices, Cassandra (storage), EVCache (caching), Spinnaker (deployment), Titus (containers), Apache Spark (analytics), Atlas (..)

Java 142

Java Cloud Cache AWS 142

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 127

Technology Technology AWS Storage 127

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Building upon Redis. Many of our customers share my excitement: Interactive Intelligence, Inc.

Scalability 100

Scalability Cache Analytics AWS 100

All Things Distributed

DECEMBER 5, 2010

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. Caching techniques ensure that the DNS system doesnt get overloaded with queries. At werner.ly Syndication. or rss feed.

Cloud 111

Cloud Internet Internet AWS 111

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Please note that the focus of these tests was around standard metrics gathering and display, we’ll use a future blog post to benchmark some of the more intensive query analytics (QAN) performance numbers. Virtual Memory utilization was averaging 48 GB of RAM.

Monitoring 117

Monitoring Scalability Database Cache 117

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 109

Servers Social Media AWS Website 109

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Take a look at how integrated data analytics can help client applications. The Challenges with Parallel Queries.

Analytics 52

Analytics Airlines Cache Scalability 52

Scalegrid

JUNE 14, 2024

Understanding Power BI Definition and Purpose Power BI is a business analytics service that can gather all your data in a single platform and enable users to analyze and visualize easily. In this article, we will explore the process of how to connect MySQL to Power BI, a leading business intelligence tool.

Database 130

Database Azure Efficiency Servers 130

Smashing Magazine

SEPTEMBER 20, 2021

We explore how you can use web analytics or real user measurement data on your website to get insight into any imposter domains re-publishing your work. A better approach is to use the data you are already collecting with your web analytics or R eal U ser M easurement ( RUM ) services. Search Engine And Web Archive Cached Results.

Website 108

Website Analytics Google Cache 108

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

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. s pricing is simple and predictable: Storage is $1 per GB per month. The growth of Amazonâ??s Domain scaling limitations. Amazon DynamoDBâ??s

Scalability 162

Scalability Database Ecommerce Latency 162

Smashing Magazine

MAY 17, 2021

Lighthouse also caught a cache misconfiguration that prevented some of our static assets from being served from our CDN. We are hosted on Google Cloud Platform, and the Google Cloud CDN requires that the Cache-Control header contains “public”. Google Analytics can show an average value of your web vitals scores.

Google 111

Google Analytics Serverless Metrics 111

SQL Performance

NOVEMBER 18, 2019

IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. Memory optimized – High memory-to-CPU ratio, relational database servers, medium to large caches, and in-memory analytics. Storage optimized – High disk throughput and IO. Premium storage support.

Azure 76

Azure Benchmarking Storage Virtualization 76

Percona

JULY 17, 2023

It’s a good setup for real-time analytics and high-speed logging. Storing large datasets can be a challenge, as Redis’ storage capacity is limited by available RAM. Also, Redis is designed primarily for key-value storage and lacks advanced querying capabilities.

Open Source 98

Open Source Database Scalability Software 98

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

Highly Scalable

AUGUST 20, 2013

The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. In many cases join is performed on a finite time window or other type of buffer e.g. LFU cache that contains most frequent tuples in the stream. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

HammerDB

JUNE 27, 2022

The TPC designed benchmarks for transaction processing (OLTP) and analytics (OLAP) and anyone can run these benchmarks, have them audited by the TPC and published on the official benchmark rankings. When testing database performance there are 2 distinct workloads, transactional or OLTP and analytic (data warehouse, decision support) or OLAP.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The fastest Androids predictably remain 18-24 months behind, owing to cheapskate choices about cache sizing by Qualcomm, Samsung Semi, and all the rest. The Moto G4 , for example.

Performance 127

Performance Network Mobile Metrics 127

Smashing Magazine

JANUARY 15, 2019

An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part. It seems to have become more-or-less ubiquitous on the web for everyone to analyze what their website’s visitors do via tools like Google Analytics, KISSmetrics, Piwik, etc. These include data transfer (i.e.

Website Performance 78

Website Performance Website Energy Performance 78

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems 63

Systems Cache Website Network 63

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Such innovation in AI algorithms and approaches results in an increase in model size, exponential growth in the compute needs, caching of temporal states, and multiple models to run simultaneously. Quality vs Bandwidth.

Wireless 54

Wireless IoT Architecture Analytics 54