Cache, Example and Storage - Technology Performance Pulse

Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. When a new leader is elected it loads all data from external storage. The cache is kept in sync with the current leader process.

Cache

Cache Latency Traffic Systems

Designing Instagram

High Scalability

JANUARY 11, 2022

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. Fetching User Feed. Sample Queries supported by Graph Database. Optimization.

Design

Design Media Storage Logistics

Improved Alerting with Atlas Streaming Eval

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.

Storage

Storage Cache Metrics Database

Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

SEPTEMBER 18, 2024

Our goal was to build a versatile and efficient data storage solution that could handle a wide variety of use cases, ranging from the simplest hashmaps to more complex data structures, all while ensuring high availability, tunable consistency, and low latency. Developers just provide their data problem rather than a database solution!

Latency

Latency Storage Cache Efficiency

Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

SEPTEMBER 24, 2021

As an example, cloud-based post-production editing and collaboration pipelines demand a complex set of functionalities, including the generation and hosting of high quality proxy content. The following table gives us an example of file sizes for 4K ProRes 422 HQ proxies.

Cloud

Cloud Media Storage Cache

What is a Distributed Storage System

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

Storage Systems Big Data Azure

Remote Workstations for the Discerning Artists

The Netflix TechBlog

MARCH 8, 2021

They could need a GPU when doing graphics-intensive work or extra large storage to handle file management. Instead, we created a service to take the most popular configurations and cache them. This salt formula example is the equivalent of running a “yum install sis-lighting-10_1” in the terminal.

Entertainment

Entertainment Storage Open Source Hardware

Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

NOVEMBER 12, 2024

After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Best Effort Regional Counter This type of counter is powered by EVCache , Netflix’s distributed caching solution built on the widely popular Memcached.

Latency

Latency Cache Infrastructure Strategy

Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

OCTOBER 8, 2024

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. For example: {“device_type”: “ios”}. Note : With Cassandra 4.x

Latency

Latency Storage Traffic Tuning

MySQL Data Caching Efficiency

Percona

APRIL 14, 2023

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. How do you know if your MySQL database caching is operating efficiently?

Cache

Cache Efficiency Database Monitoring

Dynatrace Kubernetes Observability for Persistent Volume Claims

Dynatrace

AUGUST 1, 2022

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. You quickly realize that it will take ages to fill up the overprovisioned database storage.

Storage

Storage Database Network Metrics

Helping VFX studios pave a path to the cloud

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.” This program is just one example of the many ways Netflix strives to entertain the world.

Cloud

Cloud Entertainment AWS Infrastructure

Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

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

Strategy Cache Storage Analytics

What is session replay? Discover user pain points with session recordings

Dynatrace

DECEMBER 20, 2021

For example, the <body> element of your page exists on one branch of this tree structure, with any <img> assets branching off. Consider the example of “rage clicks,” which are rapid clicks (or taps) on the same spot when a feature is unresponsive. For example, are all user bounces caused by the same issue?

Mobile

Mobile Website Analytics Cache

Data ingestion pipeline with Operation Management

The Netflix TechBlog

MARCH 7, 2023

Goals Annotation Operations Lets pick an example use case of identifying objects (like trees, cars etc.) There are many naive solutions possible for this problem for example: Write different runs in different databases. in a video file. This seems very similar (not exactly same) to a distributed transaction. Write algo runs into files.

Media

Media Latency Architecture Database

Pushy to the Limit: Evolving Netflix’s WebSocket proxy for the future

The Netflix TechBlog

SEPTEMBER 10, 2024

KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs. For example, for a recent 24 hour period, direct messages averaged around 160,000 messages per second and indirect averaged at around 50,000 messages per second.

Latency

Latency Cache Tuning Efficiency

Implementing AWS well-architected pillars with automated workflows

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS

AWS Efficiency Azure Cloud

Best practices and key metrics for improving mobile app performance

Dynatrace

DECEMBER 13, 2023

From the customer perspective, mobile devices have become the singular touchpoint between businesses and users, for example, the new storefront, office, and customer support line. 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.

Best Practices

Best Practices Mobile Metrics Performance

How Bloom Filters Work in MyRocks

Percona

FEBRUARY 15, 2023

This post will illustrate through a simple example how bloom filters work in MyRocks. In the above example, if you add all the first names of the people at Percona you’ll end up with only “1” That would be obviously useless. Bloom filter is an important feature improving performance of LSM storage engines.

Storage

Storage Tuning Cache Engineering

Unlocking the Secrets of TOAST: How To Optimize Large Column Storage in PostgreSQL for Top Performance and Scalability

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

Storage Scalability Strategy Performance

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

MAY 4, 2023

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. For example, if some fields in the responses are timestamps, those will differ.

Traffic

Traffic Latency Tuning Systems

View from Nutanix storage during Postgres DB benchmark

n0derunner

JUNE 28, 2019

In this example from prior post. Since the DB is small (50% the size of the Linux RAM) – the database is mostly cached on the read side – so we only see writes going to the DB files. The post View from Nutanix storage during Postgres DB benchmark appeared first on n0derunner.

Benchmarking

Benchmarking Storage Cache Database

PostgreSQL Indexes Can Hurt You: Negative Effects and the Costs Involved

Percona

APRIL 24, 2023

For example, let’s assume that there are five indexes on a table; every INSERT into the table will result in an INSERT of the index record on those five indexes. The more indexes, the more the requirement of memory for effective caching. Cache requirements for indexes are generally much higher than associated tables.

Tuning

Tuning Cache Storage Database

Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

SEPTEMBER 28, 2022

For example, in Next.js, you can load a student list writing: export default function Home({ studentList }) { return ( <Layout home> <ul> {studentList.map(({ id, name, age }) => ( <li key={id}> {name} <br /> {age} </li> ))} </ul> </Layout> ); }. Active Memory Caching.

Cache

Cache Performance Servers Architecture

Use Distributed Caching to Accelerate Online Web Sites

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

Cache Storage Servers Database

Use Distributed Caching to Accelerate Online Web Sites

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

Cache Storage Servers Database

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

Dynatrace

OCTOBER 15, 2021

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. Traces are the act of following a process (for example, an API request or other system activity) from start to finish, showing how services connect.

Open Source

Open Source Metrics Cloud Transportation

How To Optimize Progressive Web Apps: Going Beyond The Basics

Smashing Magazine

DECEMBER 23, 2020

You’ll also find example code or references to more specific guides so you can implement these tips to your PWA. 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. Cached content with IndexedDB. A simple example is a messaging app.

Cache

Cache Internet Internet Google

Crucial Redis Monitoring Metrics You Must Watch

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

Metrics Monitoring Latency Cache

How Caches Become Databases – And Why You Don’t Want This

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

Cache Database Storage Availability

Understanding Weak Reference In JavaScript

Smashing Magazine

MAY 25, 2022

Here is another example: let languages = {name: “JavaScript”}; let programmer = languages; From the code snippets above, we can access the object property from both the languages variable and the programmer variable. As we’ve used an array in the example above, we can use map too. Therefore, it was not garbage-collected.

Cache

Cache Programming Storage Code

The Amazon.com 2010 Shareholder Letter Focusses on Technology.

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. It is deeply integrated into everything we do.

Technology

Technology Technology AWS Storage

File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., It’s also a fabulous example of recognising and challenging implicit assumptions. In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. SOSP’19.

Storage

Storage Systems Hardware Efficiency

Key Advantages of DBMS for Efficient Data Management

Scalegrid

JANUARY 5, 2024

The DBMS is key to maintaining these aspects by offering a storage system that allows users to perform operations such as data insertion, deletion, and selection, thereby promoting enhanced data integration across diverse applications and platforms. Practical Applications of DBMS DBMS finds practical applications in various fields.

Efficiency

Efficiency Storage Database Scalability

The Most Important MySQL Setting

Percona

APRIL 7, 2023

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. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning

Tuning Cache Servers Benchmarking

Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

All Things Distributed

DECEMBER 5, 2010

A simple example is the situation with Persons and Telephones; a person has a name, a person can have one or more telephones and each phone can have one or more telephone numbers. There are two main types of DNS servers: authoritative servers and caching resolvers. Driving Storage Costs Down for AWS Customers. At werner.ly

Cloud

Cloud Internet Internet AWS

InnoDB Performance Optimization Basics

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. Benchmark before you decide. Setting oom_score_adj to -800.

Performance

Performance Hardware Tuning Storage

No Server Required - Jekyll & Amazon S3 - All Things Distributed

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. Although there are some good examples that come with Cactus is still early days and there is not much of a community using it. At werner.ly Syndication.

Servers

Servers Social Media AWS Website

Stuff The Internet Says On Scalability For July 20th, 2018

High Scalability

JULY 20, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. That means multiple data indirections mean multiple cache misses. Do you like this sort of Stuff? Please lend me your support on Patreon.

Internet

Internet Internet Scalability Automotive

A one size fits all database doesn't fit anyone

All Things Distributed

JUNE 21, 2018

Airbnb is a great example of a customer building high-performance and scalable applications with Amazon Aurora. This consistent performance is a big part of why the Snapchat Stories feature , which includes Snapchat's largest storage write workload, moved to DynamoDB. Take Expedia, for example.

Database

Database AWS Games Latency

Hierarchical Navigation and Faceted Search on Top of Oracle Coherence

Highly Scalable

APRIL 2, 2012

I cannot disclose customer’s name, so I will explain business logic using amazon.com as an example, fortunately the basic functionality is very similar. For example, if the user opens a category that contains clothes, products will be characterized by properties like size, brand, color and so on.

Ecommerce

Ecommerce Cache Storage Architecture

Distributed Algorithms in NoSQL Databases

Highly Scalable

SEPTEMBER 18, 2012

This approach is used for example in Cassandra. This behavior can be semantically inappropriate (for example, if both clients add a value to a list). Consider an example in the figure below to see why reads can be inconsistent. In this example R=2, W=2, N=3. Atomic Read-modify-write.

Database

Database Latency C++ Scalability

Integrate Azure Monitor to get AI-powered service behavior insights

Dynatrace

APRIL 8, 2019

Dynatrace automatically explores all Azure services and captures their metrics, which can then be viewed on an out-of-the-box Azure overview page (see example below). Redis Cache. Storage blobs, tables, queues, and files. This page provides you with easy access to an overview of your Azure environment, with no additional effort.

Azure

Azure Monitoring Serverless Virtualization

WiredTiger Logging and Checkpoint Mechanism

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

Hardware C++ Storage Cache

Consistent caching mechanism in Titus Gateway

Designing Instagram

Trending Sources

Improved Alerting with Atlas Streaming Eval

Introducing Netflix’s Key-Value Data Abstraction Layer

Netflix Cloud Packaging in the Terabyte Era

What is a Distributed Storage System

Remote Workstations for the Discerning Artists

Netflix’s Distributed Counter Abstraction

Introducing Netflix TimeSeries Data Abstraction Layer

MySQL Data Caching Efficiency

Dynatrace Kubernetes Observability for Persistent Volume Claims

Helping VFX studios pave a path to the cloud

Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

What is session replay? Discover user pain points with session recordings

Data ingestion pipeline with Operation Management

Pushy to the Limit: Evolving Netflix’s WebSocket proxy for the future

Implementing AWS well-architected pillars with automated workflows

Best practices and key metrics for improving mobile app performance

How Bloom Filters Work in MyRocks

Unlocking the Secrets of TOAST: How To Optimize Large Column Storage in PostgreSQL for Top Performance and Scalability

Migrating Critical Traffic At Scale with No Downtime?—?Part 1

View from Nutanix storage during Postgres DB benchmark

PostgreSQL Indexes Can Hurt You: Negative Effects and the Costs Involved

Five Data-Loading Patterns To Improve Frontend Performance

Use Distributed Caching to Accelerate Online Web Sites

Use Distributed Caching to Accelerate Online Web Sites

What is? OpenTelemetry??An open-source standard for logs, metrics, and traces

How To Optimize Progressive Web Apps: Going Beyond The Basics

Crucial Redis Monitoring Metrics You Must Watch

How Caches Become Databases – And Why You Don’t Want This

Understanding Weak Reference In JavaScript

The Amazon.com 2010 Shareholder Letter Focusses on Technology.

File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

Key Advantages of DBMS for Efficient Data Management

The Most Important MySQL Setting

Expanding the Cloud with DNS - Introducing Amazon Route 53 - All.

InnoDB Performance Optimization Basics

No Server Required - Jekyll & Amazon S3 - All Things Distributed

Stuff The Internet Says On Scalability For July 20th, 2018

A one size fits all database doesn't fit anyone

Hierarchical Navigation and Faceted Search on Top of Oracle Coherence

Distributed Algorithms in NoSQL Databases

Integrate Azure Monitor to get AI-powered service behavior insights

WiredTiger Logging and Checkpoint Mechanism

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