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 226

Lambda AWS Serverless Latency 226

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

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 209

Metrics Latency Java Cache 209

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. Its goal is to assign running processes to time slices of the CPU in a “fair” way. Linux to the rescue?

Cache 251

Cache Latency Airlines Logistics 251

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

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 339

Traffic Latency Tuning Systems 339

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 238

Azure Latency Metrics Infrastructure 238

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

Speed Curve

FEBRUARY 5, 2024

desc="Time to process request at origin" NOTE: This is not a new API. 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?

Servers 57

Servers Cache Retail Benchmarking 57

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 233

Latency Cache Java Traffic 233

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 Latency Java 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 Latency Java Cache 130

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 249

AWS Efficiency Azure Cloud 249

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution.

Cache 52

Cache Social Media Website Performance Website 52

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 133

Tuning Cache Servers Benchmarking 133

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

AUGUST 3, 2023

However, achieving a good LCP score is often a multi-faceted process that involves optimizing several stages of loading and rendering. HTML Processing Once a web page’s HTML file has been downloaded, the browser begins to process the contents line by line, translating code into the visual website that users interact with.

Performance 74

Performance Cache Traffic Metrics 74

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

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution.

Cache 52

Cache Social Media Website Performance Website 52

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 211

Artificial Intelligence Analytics Storage Government 211

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 51

Latency C++ Hardware Performance 51

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

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Adrian Cockcroft

JANUARY 29, 2023

The mean and percentile measurements hide this structure, but the rest of this post will show how the structure can be measured and analyzed so that you can figure out a useful model of your system, understand what is driving the long tail of latencies and come up with better SLAs and measures of capacity.

Lambda 98

Lambda Latency Cache C++ 98

Brendan Gregg

AUGUST 29, 2021

Problem Statement The microservice managed and processed large files, including encrypting them and then storing them on S3. Reads usually have apps waiting on them; writes may not (write-back caching). biolatency From [bcc], this eBPF tool shows a latency histogram of disk I/O. Counting cache functions. 17 48011 [.].

Cache 105

Cache C++ AWS Latency 105

Smashing Magazine

MAY 16, 2022

Examples of this might be, expecting that the HTML is fully static, such that we can cache it downstream in some deterministic manner — “partially dynamic” HTML bodies are much more likely to be handled incorrectly by caching logic. In this case, we can’t expect each layer could/should process and inject HTML content.

Servers 92

Servers Monitoring Cache Network 92

The Morning Paper

JUNE 23, 2019

Factor VI in the 12-factor app manifesto , “Execute the app as one or more stateless processes,” to be dropped and replaced with “Execute the app as one or more stateful processes.” session state that you want to survive an application process crash), and to keep the application server/services layer stateless.

Cache 79

Cache Latency Google Lambda 79

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. cell): Titus Job Coordinator is a leader elected process managing the active state of the system.

Cache 224

Cache Latency Traffic Systems 224

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

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 222

Monitoring Metrics DevOps Scalability 222

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 125

Cache Performance Servers Social Media 125

Scalegrid

JULY 29, 2020

It uses only one process which makes it very lightweight. If we require N parallel connections, this forks N child processes. By default, there are 32 child processes that are forked. Pgpool-II defines one process per child process. We cannot control which child process a client connects to. Not supported.

Benchmarking 246

Benchmarking Database Performance Testing Availability 246

Scalegrid

FEBRUARY 8, 2024

This process effectively duplicates essential parts of information to safeguard against potential loss. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. We push as much data processing as possible onto warehouse-scale computers and systems software. It’s limited by the laws of physics in terms of end-to-end latency.

Cloud 104

Cloud Big Data Latency Architecture 104

The Morning Paper

SEPTEMBER 10, 2019

Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Google already has Dremel , Mesa , Photon , F1 , PowerDrill , and Spanner , so why did they need yet another data processing system? are divided.

Analytics 75

Analytics Latency Cache Google 75

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 203

Latency Cache Strategy Media 203

IO River

NOVEMBER 2, 2023

An origin typically refers to a data center where the content of a request resides and is processed. If the content isn't cached or has become stale, the CDN fetches it from the origin.Dynamic Traffic: This refers to the traffic that invariably reaches the origin, as it often involves real-time data or user-specific content.

Traffic 52

Traffic Cache Servers Latency 52