High Scalability

JANUARY 11, 2022

There are two major processes which gets executed when a user posts a photo on Instagram. Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 240

Cloud Media Storage Cache 240

Dynatrace

NOVEMBER 28, 2022

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 246

Lambda AWS Serverless Latency 246

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Observing AI models Running AI models at scale can be resource-intensive.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

APRIL 7, 2022

Spring Boot 2 uses Micrometer as its default application metrics collector and automatically registers metrics for a wide variety of technologies, like JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization, Rabbit MQ connection factories, and more. That’s a large amount of data to handle.

Metrics 246

Metrics Java Latency Cache 246

The Netflix TechBlog

MAY 4, 2023

It provides a good read on the availability and latency ranges under different production conditions. The upstream service calls the existing and new replacement services concurrently to minimize any latency increase on the production path. Logging is selective to cases where the old and new responses do not match.

Traffic 343

Traffic Latency Tuning Systems 343

The Netflix TechBlog

SEPTEMBER 10, 2024

The voice service then constructs a message for the device and places it on the message queue, which is then processed and sent to Pushy to deliver to the device. The previous version of the message processor was a Mantis stream-processing job that processed messages from the message queue.

Latency 230

Latency Cache Tuning Efficiency 230

Dynatrace

MAY 13, 2022

With the Dynatrace Data Explorer, you can easily analyze metrics, such as client read/write latency by Cassandra nodes and disk space usage by keyspaces. You can also analyze table metrics, such as cache hits and misses. Provide a foundation for calculating metrics in dashboard charts.

Azure 246

Azure Latency Metrics Infrastructure 246

The Netflix TechBlog

SEPTEMBER 8, 2020

This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. Being able to canary a new route let us verify latency and error rates were within acceptable limits. This meant that data that was static (e.g.

Latency 237

Latency Cache Java Traffic 237

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

The Netflix TechBlog

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Latency 235

Latency Storage Traffic Tuning 235

The Netflix TechBlog

JULY 12, 2019

delivering a large amount of business value in the process. The Tech Hollow , an OSS technology we released a few years ago, has been best described as a total high-density near cache : Total : The entire dataset is cached on each node?—?there there is no eviction policy, and there are no cache misses.

Cache 183

Cache Architecture Engineering Latency 183

Dynatrace

SEPTEMBER 13, 2023

This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments. 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

The Netflix TechBlog

MARCH 7, 2024

In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. We use metaflow.Table to resolve all input shards which are distributed to Metaflow tasks which are responsible for processing terabytes of data collectively.

Systems 231

Systems Media Cache Open Source 231

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

NOVEMBER 3, 2021

Monitoring , by textbook definition, is the process of collecting, analyzing, and using information to track a program’s progress toward reaching its objectives and to guide management decisions. Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

Dynatrace

OCTOBER 4, 2022

However, organizations must structure and store data inputs in a specific format to enable extract, transform, and load processes, and efficiently query this data. Data lakehouses offer a way to interrogate the data and send processing instructions in the form of queries. Massively parallel processing.

Artificial Intelligence 246

Artificial Intelligence Storage Analytics Government 246

CSS Wizardry

AUGUST 13, 2019

To further exacerbate the problem, the 302 response has a Cache-Control: must-revalidate, private. header , meaning that we will always make an outgoing request for this resource regardless of whether or not we’re hitting the site from a cold or a warm cache. com , which introduces yet more latency for the connection setup.

Latency 213

Latency Cache Strategy Media 213

Highly Scalable

SEPTEMBER 18, 2012

Although it can hardly be said that NoSQL movement brought fundamentally new techniques into distributed data processing, it triggered an avalanche of practical studies and real-life trials of different combinations of protocols and algorithms. Read/Write latency. Read/Write requests are processes with a minimal latency.

Database 213

Database Latency C++ Scalability 213

All Things Distributed

SEPTEMBER 3, 2013

Amazon ElastiCache is a fully managed, in-memory caching service for customers to optimize the latency, performance and cost of their read workloads. We allow customers to provision the number of input and output operations (IOPS) they require by using Amazon RDS with Provisioned IOPS.

Cache 98

Cache Cloud Performance Retail 98

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

Speed Curve

JANUARY 19, 2025

Of course writes were much less common than reads, so I added a caching layer for reads, and that did the trick. So in addition to all the optimization work we did for Google Docs, I got to spend a lot of time and energy working on the measurement problem: how can we get end-to-end latency numbers?

Performance 98

Performance Google Speed Metrics 98

Randon ASCII

SEPTEMBER 8, 2019

While CPU Usage (Precise) is great for seeing how much CPU time a process is using, and why it is sitting idle, the CPU Usage (Sampled) table is the right tool for figuring out where CPU time is being spent. This means that there is no caching between RuntimeBroker.exe and this file. That is an average read of 68 bytes each time.

Latency 79

Latency Cache Programming Operating System 79

Scalegrid

JANUARY 21, 2025

Identifying key Redis metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Providing them with clear insights into their systems performance overall.

Strategy 130

Strategy Monitoring Latency DevOps 130

KeyCDN

MAY 14, 2019

We’re thrilled to announce that we’ve added the Image Processing feature! How Does Image Processing Work? The Image Processing feature is available on all Pull Zones. Enabling the Origin Shield setting is required because all image processing will occur at our shield locations. For example, the query string ?width=600&quality=70

Processing 13

Processing Cache Network Latency 13

The Netflix TechBlog

NOVEMBER 4, 2019

By batching and parallelizing the requests to retrieve many creatives via a single query to the GraphQL server, we can optimize the index building process. Best of all, our page can load much faster since everything is cached in Elasticsearch. Keeping Everything Up To Date Indexing the data once isn’t enough.

Database 243

Database Cache Servers Performance 243

Dynatrace

APRIL 7, 2022

Spring Boot 2 uses Micrometer as its default application metrics collector and automatically registers metrics for a wide variety of technologies, like JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization, Rabbit MQ connection factories, and more. That’s a large amount of data to handle.

Metrics 130

Metrics Java Latency Cache 130

Dynatrace

APRIL 7, 2022

Spring Boot 2 uses Micrometer as its default application metrics collector and automatically registers metrics for a wide variety of technologies, like JVM, CPU Usage, Spring MVC, and WebFlux request latencies, cache utilization, data source utilization, Rabbit MQ connection factories, and more. That’s a large amount of data to handle.

Metrics 130

Metrics Java Latency Cache 130

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

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. Providing them with clear insights into their system’s performance overall.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

APRIL 7, 2023

Here’s how the same test performed when running Percona Distribution for PostgreSQL 14 on these same servers: Queries: reads Queries: writes Queries: other Queries: total Transactions Latency (95th) MySQL (A) 1584986 1645000 245322 3475308 122277 20137.61 MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48

Tuning 145

Tuning Cache Servers Benchmarking 145

The Netflix TechBlog

JULY 21, 2022

We now explore each of these components individually, while highlighting the nuances of the data pipeline and pre-processing. Some features (as an example) include Device Type ID, SDK Version, Buffer Sizes, Cache Capacities, UI resolution, Chipset Manufacturer and Brand. Too high allocations may fail and restrict system processes.

Big Data 184

Big Data Cache Engineering Data Engineering 184

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. energy consumption).

Energy 130

Energy Latency Performance Network 130

All Things Distributed

JUNE 21, 2018

Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167

Database AWS Games Latency 167

High Scalability

JULY 20, 2018

That means multiple data indirections mean multiple cache misses. jaybo_nomad : The Allen Institute for Brain Science is in the process of imaging 1 cubic mm of mouse visual cortex using TEM at a resolution of 4nm per pixel. They are very expensive. This is where your performance goes. Some say MRAM will never work in automotive.

Internet 121

Internet Internet Scalability Automotive 121

Smashing Magazine

SEPTEMBER 28, 2022

Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. Active Memory Caching. When you want to get data that you already had quickly, you need to do caching — caching stores data that a user recently retrieved. Caching Schemes. Large preview ).

Cache 141

Cache Performance Servers Architecture 141

Scalegrid

MAY 11, 2024

In-Memory Storage Engine, as the name suggests, stores data in memory for faster performance and lower latencies. It uses a filesystem cache and write-ahead log for crash recovery. MongoDB makes use of both the filesystem cache and the WiredTiger internal cache. Compaction operation defragments data files & indexes.

Storage 130

Storage Engineering Cache Database 130