Randon ASCII

SEPTEMBER 8, 2019

Disclaimer: I didn’t find a solution, but I did find some crazy code. The fact that this shows up as CPU time suggests that the reads were all hitting in the system cache and the CPU time was the kernel overhead (note ntoskrnl.exe on the first sampled call stack) of grabbing data from the cache. Think about that for a moment.

Latency 79

Latency Cache Programming Operating System 79

Dynatrace

SEPTEMBER 13, 2023

Using an interactive no/low code editor, you can create workflows or configure them as code. 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.

AWS 236

AWS Efficiency Azure Cloud 236

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).

Lambda 98

Lambda Serverless Cache Latency 98

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. How will you serve blazingly fast code, then? Jamstack is popular with documentation sites that usually compile code to HTML files and host them on the CDN. Active Memory Caching. Caching Schemes.

Performance 127

Performance Cache Servers Social Media 127

High Scalability

JULY 20, 2018

Cliff Click : The JVM is very good at eliminating the cost of code abstraction, but not the cost of data abstraction. That means multiple data indirections mean multiple cache misses. Mark LaPedus : MRAM, a next-generation memory type, is being touted as a replacement for embedded flash and cache applications.

Internet 121

Internet Internet Scalability Automotive 121

The Morning Paper

SEPTEMBER 10, 2019

That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. to understand YouTube video performance) drive tens of thousands of canned (known in advance) queries per second, that need to be served with latency in the tens of milliseconds.

Analytics 75

Analytics Latency Cache Google 75

The Morning Paper

OCTOBER 26, 2020

It’s limited by the laws of physics in terms of end-to-end latency. We saw earlier that there is end-user pressure to replace batch systems with much lower latency online systems. We are observing significant demand from users in terms of avoiding batch telemetry pipelines altogether. Emphasis mine ). Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

ScaleOut Software

MAY 15, 2014

We have spent a great deal of time at ScaleOut Software re-architecting our in-memory data grid (IMDG)’s code base to make best use of many cores and large memory. For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Please retry later.

Cache 40

Cache Servers Network Design 40

Dotcom-Montior

MARCH 6, 2022

If the waiting time is too much, it may mean an overloaded network server or there may be an inefficient code, which must be fixed by software developers by finding the bugs and correcting the code. Moreover, caching utility may decrease the waiting time. One of the important things to realize is that the empty cache takes 6.8

Performance 52

Performance Cache Website Speed 52

Smashing Magazine

JANUARY 11, 2021

Have we optimized enough with tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, progressive hydration, clients hints, HTTP/3, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Media Metrics 145

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Application code is automatically shipped by the client library to the IMDG for execution and runs fully in parallel across all servers for maximum performance.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. Application code is automatically shipped by the client library to the IMDG for execution and runs fully in parallel across all servers for maximum performance.

Analytics 52

Analytics Airlines Cache Scalability 52

Percona

JULY 17, 2023

Organizations have access to the source code, allowing them to make changes and enhancements as needed. Redis can handle a high volume of operations per second, making it useful for running applications that require low latency. Storing large datasets can be a challenge, as Redis’ storage capacity is limited by available RAM.

Open Source 75

Open Source Database Scalability Software 75

Dotcom-Montior

MAY 6, 2020

If the waiting time is too much, it may mean an overloaded network server or there may be an inefficient code, which must be fixed by software developers by finding the bugs and correcting the code. Moreover, caching utility may decrease the waiting time. The time captured by the server to produce a response. Queued request.

Performance 53

Performance Cache Website Speed 53

Percona

MAY 15, 2023

This operation is quite expensive but our database can run it in a few milliseconds or less, thanks to several optimizations that allow the node to execute most of them in memory with no or little access to mass storage. The key factor is that the whole data structure resides in the same location (node), facilitating the operations.

Traffic 122

Traffic Scalability Database Servers 122

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It’s much easier to reach performance goals when the code base is fresh or is just being refactored.

Performance 145

Performance Cache Network Metrics 145

Abhishek Tiwari

NOVEMBER 3, 2018

Using CDN for the whole website, you can offload most of the website traffic to your CDN which will handle not only large traffic spikes but also reduce the latency of content delivery. An SSG offers a middle ground between a complex yet modular CMS solution and a simple yet involved hand-coded HTML site.

Systems 63

Systems Cache Website Network 63

Smashing Magazine

JANUARY 7, 2019

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms.

Performance 104

Performance Cache Metrics Network 104

The Morning Paper

DECEMBER 8, 2019

Therefore any programming abstraction must be low latency and the kernel needs to be kept off the path of persistent data access as much as possible. The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc. in front of that memory , as we saw last week).

Hardware 56

Hardware Programming Media Storage 56

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

OCTOBER 22, 2017

For this page to be done loading it needs to be responsive to user input — the “interactive” in “Time to Interactive” Browsers process user input by generating DOM events that application code listens to. Simulated packet loss and variable latency, however, can make benchmarking extremely difficult and slow.

Performance 68

Performance Benchmarking Network Mobile 68

Alex Russell

APRIL 29, 2021

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Chrome has missed several APIs for 3+ years: Storage Access API. For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience.

Media 145

Media Games Education Engineering 145

SQL Server According to Bob

JANUARY 11, 2020

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times.

Servers 40

Servers Cache Database Media 40

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. DynamoDB was the first service at AWS to use SSD storage.

Speed 121

Speed Cache Latency AWS 121

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The pipelines can be stateful and the engine’s middleware should provide a persistent storage to enable state checkpointing. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

JUNE 21, 2018

Developers rely on the functionality of the relational database (not the application code) to enforce the schema and preserve the referential integrity of the data within the database. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167

Database AWS Games Latency 167