Architectural Insights: Designing Efficient Multi-Layered Caching With Instagram Example
DZone
FEBRUARY 27, 2024
Leveraging this hierarchical structure can significantly reduce latency and improve overall performance.
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DZone
FEBRUARY 27, 2024
Leveraging this hierarchical structure can significantly reduce latency and improve overall performance.
The Netflix TechBlog
OCTOBER 14, 2024
Using this approach, we observed latencies ranging from 1 to 10 seconds, averaging 7.4 Investigation of a Workbench UI Latency Issue was originally published in Netflix TechBlog on Medium, where people are continuing the conversation by highlighting and responding to this story. The input to stdin is sent to the backend (i.e.,
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High Scalability
JANUARY 11, 2022
Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Architecture. Component Design. API Design. We have provided the API design of posting an image on Instagram below. API Design. Problem Statement. Data Models.
DZone
SEPTEMBER 23, 2024
With the rise of microservices architecture , there has been a rapid acceleration in the modernization of legacy platforms, leveraging cloud infrastructure to deliver highly scalable, low-latency, and more responsive services. Traditional blocking architectures often struggle to keep up performance, especially under high load.
The Netflix TechBlog
SEPTEMBER 29, 2022
Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5
VoltDB
FEBRUARY 29, 2024
In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop. All these moments combined represent latency – the time it takes for your order to reach your hands.
The Netflix TechBlog
SEPTEMBER 18, 2024
These include challenges with tail latency and idempotency, managing “wide” partitions with many rows, handling single large “fat” columns, and slow response pagination. Data Model At its core, the KV abstraction is built around a two-level map architecture.
InfoQ
APRIL 26, 2024
Allegro experimented with different performance optimization options to improve Apache Kafka producer tail latency and eventually switched all its clusters to the XFS filesystem. The company used Kafka protocol sniffing, JVM profiling, and eBPF, which proved instrumental in identifying and eliminating performance bottlenecks.
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.
InfoQ
DECEMBER 4, 2023
to HTTP2, resulting in a reduction in the number of connections, latency, and garbage collection times. LinkedIn was able to dramatically improve the scalability and performance of its Espresso database by migrating it from HTTP1.1 To achieve these gains, the team had to optimize the Netty’s default HTTP2 stack to make it fit their needs.
The Netflix TechBlog
NOVEMBER 12, 2024
By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.
The Netflix TechBlog
JANUARY 25, 2023
The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency. Our service will be used by a lot of internal UI applications hence the latency for CRUD and search operations must be low. Search latency for the generic text queries are in milliseconds.
The Netflix TechBlog
SEPTEMBER 3, 2021
Remote calls are never free; they impose extra latency, increase probability of an error, and consume network bandwidth. How can we achieve a similar functionality when designing our gRPC APIs? When we process a request it is often beneficial to know which fields the caller is interested in and which ones they ignore.
IO River
NOVEMBER 2, 2023
What is CDN Architecture?CDN CDN architecture serves as a blueprint or plan that guides the distribution of CDN provider PoPs. The two fundamentals of a CDN architecture revolve around distribution and capacity. Five Nines availability or 99.999%, also referred to as "the gold standard" significantly reduces downtime (5.26
InfoQ
JUNE 16, 2023
Datadog created a dedicated data ingestion architecture offering exactly-once semantics for their third-generation event store, Husky. The event-driven architecture (EDA) can accommodate bursts in traffic in the multi-tenant platform with reasonable ingestion latency and acceptable operational costs. By Rafal Gancarz
Dynatrace
MAY 23, 2024
Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. We designed experimental scenarios inspired by chaos engineering.
IO River
NOVEMBER 2, 2023
â€What is CDN Architecture?â€CDN â€CDN architecture serves as a blueprint or plan that guides the distribution of CDN provider PoPs. The two fundamentals of a CDN architecture revolve around distribution and capacity. All these elements combined serve as the blueprint of a CDN architecture.Â
Adrian Cockcroft
JANUARY 20, 2023
Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0
The Netflix TechBlog
JANUARY 10, 2024
This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case.
The Netflix TechBlog
SEPTEMBER 24, 2021
Table 1: Movie and File Size Examples Initial Architecture A simplified view of our initial cloud video processing pipeline is illustrated in the following diagram. Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances.
The Netflix TechBlog
NOVEMBER 3, 2022
The original assumptions and architectural choices were no longer viable. Overview The figure below depicts a simplified high-level architecture of a single Titus cluster (a.k.a We started seeing increased response latencies and leader servers running at dangerously high utilization.
Dynatrace
JANUARY 31, 2024
Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications.
The Netflix TechBlog
NOVEMBER 17, 2022
Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler. We employed an adaptive network design that is applicable to the wide variety of resolutions we use for encoding.
The Netflix TechBlog
MARCH 7, 2023
We designed a unique concept called Annotation Operations which allows teams to create data pipelines and easily write annotations without worrying about access patterns of their data from different applications. But we cannot search or present low latency retrievals from files Etc.
The Netflix TechBlog
FEBRUARY 18, 2022
Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.
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 Data Types and Structures The design of Redis’s data structures emphasizes versatility.
The Netflix TechBlog
AUGUST 29, 2023
Today we have a wealth of tools, both OSS and commercial, all designed for cloud-native environments. To improve availability, we designed systems where components could fail separately and avoid single points of failure. There is a downside to fetching this data on-demand: this adds latency to the first request to a cluster.
Scalegrid
JUNE 7, 2024
In this article, we will explore what RabbitMQ is, its mechanisms to facilitate message queueing, its role within software architectures, and the tangible benefits it delivers in real-world scenarios. Queues designated as durable maintain their configuration and stored messages even after the broker restarts.
The Netflix TechBlog
MARCH 1, 2021
It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. The subsystems all communicate with each other asynchronously via Timestone, a high-scale, low-latency priority queuing system.
The Netflix TechBlog
NOVEMBER 2, 2021
For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. via bug fixes). We call this system Cosmos.
Dynatrace
OCTOBER 4, 2022
While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Data lakehouses deliver the query response with minimal latency.
The Netflix TechBlog
SEPTEMBER 8, 2020
We tried a few iterations of what this new service should look like, and eventually settled on a modern architecture that aimed to give more control of the API experience to the client teams. For us, it means that we now need to have ~15 MDN tabs open when writing routes :) Let’s briefly discuss the architecture of this microservice.
Scalegrid
AUGUST 27, 2024
Wondering where RabbitMQ fits into your architecture? Microservices Communication In the context of a microservices architecture that demands scalability and loose coupling among services, RabbitMQ serves as a critical component. Learn how RabbitMQ can boost your system’s efficiency and reliability in these practical scenarios.
Percona
APRIL 17, 2023
The swap issue is explained in the excellent article by Jeremy Cole at the Swap Insanity and NUMA Architecture. The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all.
Alex Russell
FEBRUARY 28, 2022
Here are two renderings of the same Gmail inbox in different architectural styles: one based on Ajax, and the other on "basic" HTML : The Ajax version of Gmail loads 4.8MiB of resources, including 3.8MiB of JavaScript to load an inbox containing two messages. Today's web architecture debates (e.g.
Percona
NOVEMBER 3, 2023
Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.
The Morning Paper
AUGUST 29, 2019
Choosing a cloud DBMS: architectures and tradeoffs Tan et al., As it is infeasible to test every OLAP system runnable on AWS, we chose widely-used systems that represented a variety of architectures and cost models. The design space. VLDB’19. The last word.
Scalegrid
FEBRUARY 8, 2024
Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. Variations within these storage systems are called distributed file systems.
VoltDB
JULY 10, 2018
This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. In these use cases, data processing usually has less than a 5 milliseconds latency budget. Real-World Example Problem. Real-time order management.
VoltDB
JULY 10, 2018
This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. In these use cases, data processing usually has less than a 5 milliseconds latency budget. Real-World Example Problem. Real-time order management.
Scalegrid
MARCH 14, 2024
The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.
Adrian Cockcroft
NOVEMBER 18, 2024
From optimizing its data center design to investing in purpose-built chips to implementing new cooling technologies, AWS is working on ways to increase the energy efficiency of its facilities to better serve our customers’ sustainability needs and the scaled use of AI.
ACM Sigarch
MAY 31, 2023
Introduction Memory systems are evolving into heterogeneous and composable architectures. using Compute Express Link or CXL), organizing memory components for optimal performance, adapting system software traditionally designed for homogeneous memory systems, and developing memory abstractions and programming constructs for HCM management.
VoltDB
AUGUST 8, 2024
Unfortunately, many organizations lack the tools, infrastructure, and architecture needed to unlock the full value of that data. Real-time data platform defined A real-time data platform is designed to ingest, process, analyze, and act upon data instantaneously — right when it’s generated or received. In a world where 2.5
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