InfoQ

JANUARY 29, 2024

RevenueCat extensively uses caching to improve the availability and performance of its product API while ensuring consistency. The company shared its techniques to deliver the platform, which can handle over 1.2 billion daily API requests. By Rafal Gancarz

Cache 108

Cache Open Source Availability Performance 108

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. In our case, we value low latency — the faster we can read from KeyValue, the faster these messages can get delivered.

Latency 228

Latency Cache Tuning Efficiency 228

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 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

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 236

Latency Storage Traffic Tuning 236

The Netflix TechBlog

JUNE 14, 2023

The GraphQL shim enabled client engineers to move quickly onto GraphQL, figure out client-side concerns like cache normalization, experiment with different GraphQL clients, and investigate client performance without being blocked by server-side migrations. To launch Phase 1 safely, we used AB Testing. How does it work?

Traffic 356

Traffic Latency Cache Metrics 356

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 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 235

Lambda AWS Serverless Latency 235

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 216

Cache Azure Infrastructure Monitoring 216

High Scalability

FEBRUARY 17, 2021

We note that for MongoDB update latency is really very low (low is better) compared to other dbs, however the read latency is on the higher side. The latency table shows that 99th percentile latency for Yugabyte is quite high compared to others (lower is better). Again Yugabyte latency is quite high. Conclusion.

Benchmarking 308

Benchmarking Latency C++ Database 308

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 220

Metrics Java Latency Cache 220

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.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Netflix TechBlog

MARCH 7, 2024

These integrations are implemented through Metaflow’s extension mechanism which is publicly available but subject to change, and hence not a part of Metaflow’s stable API yet. Deployment: Cache To produce business value, all our Metaflow projects are deployed to work with other production systems.

Systems 232

Systems Media Cache Open Source 232

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 256

Cache Latency Airlines Logistics 256

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. 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.

Azure 242

Azure Latency Metrics Infrastructure 242

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. It helps expose memory leaks, deadlocks, caching issues, and other system issues.

Traffic 344

Traffic Latency Tuning Systems 344

Scalegrid

MAY 11, 2024

However, it is limited by the available free memory amount, and all data is lost when the server stops. 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.

Storage 130

Storage Engineering Cache Database 130

CSS Wizardry

MAY 31, 2019

Users might already have the file cached. If website-a.com links to [link] , and a user goes from there to website-b.com who also links to [link] , then the user will already have that file in their cache. On a slower, higher-latency connection, the story is much, mush worse. Penalty: Caching. Myth: Cross-Domain Caching.

Cache 274

Cache Latency Infrastructure Website 274

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 Netflix TechBlog

APRIL 27, 2023

Moreover, common database optimizations like caching recently queried data don’t really work for alerting queries because, generally speaking, the last received datapoint is required for correctness. The fundamental idea behind Telltale is to detect anomalies on SLI metrics (for example, latency, error rates, etc).

Storage 294

Storage Cache Metrics Database 294

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. ecosystem and the rich selection of npm packages available.

Latency 238

Latency Cache Java Traffic 238

IO River

NOVEMBER 2, 2023

CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs CDN architecture also focuses on caching, load balancing, routing, and optimizing content delivery, which can be measured by: cache offloading and round-trip time (RTT).‍RTT

Architecture 52

Architecture Cache Performance Latency 52

IO River

NOVEMBER 2, 2023

CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs use load-balancing techniques to distribute incoming traffic across multiple servers called Points of Presence (PoPs) which distribute content closer to end-users and improve overall performance.

Architecture 52

Architecture Cache Performance Latency 52

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. A study by Amazon found that increasing page load time by just 100 milliseconds costs 1% in sales.

AWS 260

AWS Efficiency Azure Cloud 260

The Netflix TechBlog

JULY 12, 2019

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. Near : the cache exists in RAM on any instance which requires access to the dataset.

Cache 183

Cache Architecture Engineering Latency 183

CSS Wizardry

AUGUST 7, 2019

The first—and often most surprising for people to learn—thing that I want to draw your attention to is that TTFB counts one whole round trip of latency. The reason is because mobile networks are, as a rule, high latency connections. only to find that the resource they’re requesting isn’t in that PoP ’s cache.

Latency 269

Latency Ecommerce Servers Mobile 269

The Netflix TechBlog

MARCH 7, 2023

But we cannot search or present low latency retrievals from files Etc. 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. This is obviously very expensive. Write algo runs into files.

Media 269

Media Latency Architecture Database 269

John McCalpin

DECEMBER 6, 2016

The Xeon Phi x200 (Knights Landing) has a lot of modes of operation (selected at boot time), and the latency and bandwidth characteristics are slightly different for each mode. In “Cache” mode, MCDRAM memory is used as an L3 cache for the main DDR4 memory. numactl).

Latency 40

Latency Cache Testing Systems 40

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 Why is that?

Tuning 139

Tuning Cache Servers Benchmarking 139

John McCalpin

APRIL 25, 2023

For most high-end processors these values have remained in the range of 75% to 85% of the peak DRAM bandwidth of the system over the past 15-20 years — an amazing accomplishment given the increase in core count (with its associated cache coherence issues), number of DRAM channels, and ever-increasing pipelining of the DRAMs themselves.

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Speed Curve

FEBRUARY 5, 2024

Caching the base page/HTML is common, and it should have a positive impact on backend times. Key things to understand from your CDN Cache Hit/Cache Miss – Was the resource served from the edge, or did the request have to go to origin? Latency – How much time does it take to deliver a packet from A to B.

Servers 57

Servers Cache Benchmarking Retail 57

All Things Distributed

SEPTEMBER 3, 2013

Choosing your database architecture may be the most critical decision you’ll make and has a disproportionate impact on the performance, scalability, and availability of your app. Get it right and your application will seamlessly scale from hundreds to tens of millions of users without difficulty, while remaining performant and available.

Cache 114

Cache Cloud Performance Retail 114

Sutter's Mill

FEBRUARY 13, 2017

Tue-Thu Apr 25-27: High-Performance and Low-Latency C++ (Stockholm). On April 25-27, I’ll be in Stockholm (Kista) giving a three-day seminar on “High-Performance and Low-Latency C++.” If you’re interested in attending, please check out the links, and I look forward to meeting and re-meeting many of you there.

Latency 47

Latency C++ Hardware Performance 47

Percona

MARCH 20, 2023

When deciding what to pick, there are many things to consider, like where the proxy needs to be, if it “just” needs to redirect the connections, or if more features need to be in, like caching and filtering, or if it needs to be integrated with some MySQL embedded automation. Given that, there never was a single straight answer.

Games 126

Games Latency Traffic Cache 126

The Netflix TechBlog

JULY 21, 2022

More importantly, the low resource availability or “out of memory” scenario is one of the common reasons for crashes/kills. Some features (as an example) include Device Type ID, SDK Version, Buffer Sizes, Cache Capacities, UI resolution, Chipset Manufacturer and Brand. Labeling the data?—?Ground of the time (False Positives).

Big Data 184

Big Data Cache Engineering Data Engineering 184

All Things Distributed

JUNE 21, 2017

Today, I'm excited to announce the general availability of Amazon DynamoDB Accelerator (DAX) , a fully managed, highly available, in-memory cache that can speed up DynamoDB response times from milliseconds to microseconds, even at millions of requests per second. I think the reasons are many, but most follow a similar trend.

Speed 107

Speed Cache Latency AWS 107