Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.

Cache 130

Cache Storage Scalability Architecture 130

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. Every unnecessary bit of JavaScript code you bundle and serve will be more code the client has to load and process. You can see this by opening your browser and looking in the Networking tab.

Cache 126

Cache Performance Servers Social Media 126

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. It could also indicate a potential issue, say, an expensive query.

Metrics 130

Metrics Monitoring Latency Cache 130

High Scalability

JANUARY 11, 2022

from a client it performs two parallel operations: i) persisting the action in the data store ii) publish the action in a streaming data store for a pub-sub model. User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. After that, the various services (e.g.

Design 334

Design Media Storage Logistics 334

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. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

In this time of extremely high online usage, web sites and services have quickly become overloaded, clogged trying to manage high volumes of fast-changing data. Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 237

Cloud Media Storage Cache 237

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 130

Storage Systems Big Data Azure 130

ACM Sigarch

DECEMBER 19, 2022

When I worked at Google, fleet-wide profiling revealed that 25-35% of all CPU time was spent just moving bytes around: memcpy, strcmp, copying between user and kernel buffers in network and disk I/O, hidden copy-on-write in soft page faults, checksumming, compressing, decrypting, assembling/disassembling packets and HTML pages, etc.

Design 145

Design Systems Cache Network 145

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. 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

Speed Curve

FEBRUARY 5, 2024

Server Timing is a specification that allows communication of data from the server to the client through the use of a server-timing header. SpeedCurve's RUM collection library – lux.js – accesses this interface to collect custom data from the user agent. desc="Time to process request at origin" NOTE: This is not a new API.

Servers 57

Servers Cache Retail Benchmarking 57

The Netflix TechBlog

MARCH 5, 2019

the order of the rows on your Netflix home page, issuing content licenses when you click play, finding the Open Connect cache closest to you with the content you requested, and many more). In the Reliability space, our data teams focus on two main approaches. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Percona

APRIL 17, 2023

We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. You can set this by adding the following lines to the /etc/sysctl.conf : vm.dirty_ratio = 15 vm.dirty_background_ratio = 5 Filesystems mount options MongoDB recommends the XFS filesystem for on-disk database data. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

Dynatrace

SEPTEMBER 13, 2023

These workflows also utilize Davis® , the Dynatrace causal AI engine, and all your observability and security data across all platforms, in context, at scale, and in real-time. This process enables you to continuously evaluate software against predefined quality criteria and service level objectives (SLOs) in pre-production environments.

AWS 252

AWS Efficiency Azure Cloud 252

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This is where Content Delivery Networks (CDNs) come into play. Content Delivery Networks (CDNs), web browsers, and proxy servers can store static files in their caches. What is Dynamic Content?Dynamic

Cache 52

Cache Social Media Website Performance Website 52

Smashing Magazine

JULY 8, 2021

Development Process. Development Process. Modules like the service module containing all the network requests needed by the company are kept in this core module and all corresponding network requests are made from here. app, when we use something like v-model to tie data to an input in a form, we are giving the Vue.js

Speed 133

Speed Processing Development Code 133

All Things Distributed

SEPTEMBER 3, 2013

Amazon ElastiCache is a fully managed, in-memory caching service for customers to optimize the latency, performance and cost of their read workloads. As the amount of data stored increases constantly, the amount of memory needed also goes up. For features that need data structures like sorted sets (e.g.,

Cache 129

Cache Cloud Performance Retail 129

The Netflix TechBlog

SEPTEMBER 8, 2020

This allowed Android engineers to have much more control and observability over how we get our data. Background The Netflix Android app uses the falcor data model and query protocol. For example, the artwork service is separate from the video metadata service, but we need the data from both in the detail key.

Latency 233

Latency Cache Java Traffic 233

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. You need to beware that slow server response times can significantly increase TTFB, often due to server overload, network issues, or un-optimized logic on the server side. One of the key Next.js

Performance 74

Performance Cache Traffic Metrics 74

The Morning Paper

FEBRUARY 20, 2020

Extending relational query processing with ML inference , Karanasos, CIDR’10. Given the desire to keep enterprise data within the database, and to treat models as data also, the question is can we do inference in the database with acceptable performance? In Raven, model pipelines are packaged using MLflow. pruning).

Processing 72

Processing Hardware Database Azure 72

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

Percona

SEPTEMBER 26, 2023

The MySQL clone plugin significantly simplifies the process of replica provisioning. All you need to do is: Ensure that the source server has binary logs enabled Grant appropriate permissions Execute the CLONE INSTANCE command on the recipient This works extremely easily when you provision a new replica that doesn’t have any data.

Servers 103

Servers Network Cache Processing 103

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency.

Scalability 130

Scalability Analytics Cache AWS 130

Smashing Magazine

MAY 16, 2022

This allows resource requests, including the HTML document itself, to be enriched with data during its lifecycle, and that information can be inspected for measuring the attributes of that resource! This header can be set on the response of any network resource, such as XHR, fetch, images, HTML, stylesheets, etc. Setting Server-Timing.

Servers 93

Servers Monitoring Cache Network 93

Dynatrace

MAY 17, 2023

OpenTelemetry, the open source observability tool, has emerged as an industry-standard solution for instrumenting application telemetry data to make it observable. OpenTelemetry then renders those connection details—such as connect, send, and receive times, connection status, and transmitted data size—back to the client.

Metrics 185

Metrics Open Source Traffic Cache 185

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. This is where Content Delivery Networks (CDNs) come into play. Content Delivery Networks (CDNs), web browsers, and proxy servers can store static files in their caches.

Cache 52

Cache Social Media Website Performance Website 52

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., 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. Because they had too many data processing systems! ;). VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

Smashing Magazine

DECEMBER 23, 2020

However, let’s take a step further and learn how to deploy modern qualities to PWAs, such as offline functionality, network-based optimizing, cross-device user experience, SEO capabilities, and non-intrusive notifications and requests. The service workers also retrieve the latest data once the server connection is restored.

Cache 124

Cache Internet Internet Google 124

The Morning Paper

JUNE 25, 2019

Designing far memory data structures: think outside the box Aguilera et al., Last time out we looked at some of the trade-offs between RInKs and LInKs , and the advantages of local in-memory data structures. For many data center applications this looks to me like it could be a compelling future choice. HotOS’19.

Design 80

Design Cache Hardware Scalability 80

Scalegrid

NOVEMBER 23, 2023

PostgreSQL uses the label “hostname” to denote a host connected to a computer network, enabling recognition of this particular entity in all forms of electronic communication. Such a solution must be part of a broader strategy that includes proper network configuration, firewall settings, and regular security audits.

Database 130

Database Servers Storage Network 130

Percona

OCTOBER 2, 2023

Caches | 12.4G mm_perc+ # Notable Processes ########################################## PID OOM COMMAND ? Caches | 12.4G mm_perc+ # Notable Processes ########################################## PID OOM COMMAND ? Caches | 12.4G mm_perc+ # Notable Processes ########################################## PID OOM COMMAND ?

Cache 96

Cache Database Virtualization Servers 96

Dynatrace

AUGUST 30, 2019

We have several YouTube Tutorials and blog posts available that show how you can use Dynatrace RUM data for Web Performance & User Experience Optimization. Missing Cache Settings – Make sure you cache resources that don’t change often on the browser or use a CDN. Improve Above-the-fold User Experience with Dynatrace.

Cache 201

Cache Architecture Database Government 201

CSS - Tricks

APRIL 1, 2021

Using a network request inspector, I’m going to see if there’s anything we can remove via the Network panel in DevTools. I like using Fiddler , and when I inspect the network requests I see that there are indeed some old URLs and redirects floating around. We can repoint all our redirect-to-slow-site URLs to the updated URL.

Cache 92

Cache Social Media Media Network 92

Dynatrace

APRIL 21, 2022

But managing these three data types at a scale becomes unsustainable for even the most experienced teams. Using a data-driven approach to size Azure resources, Dynatrace OneAgent captures host metrics out-of-the-box to assess CPU, memory, and network utilization on a VM host.

Azure 193

Azure Monitoring Virtualization Metrics 193

IO River

NOVEMBER 2, 2023

Enter the concept of Content Delivery Networks (CDN) with Multiple Origins Load Balancing. These rules determine to which origin data center each request will be directed, based on customer-defined conditions, within the Content Delivery Network (CDN) infrastructure.‍For ‍But how does it decide where to send this traffic?

Traffic 52

Traffic Cache Servers Latency 52

IO River

NOVEMBER 2, 2023

CDN’s Effectiveness: Static Vs Dynamic ContentBack in the day, a CDN’s primary function revolved around caching static content and delivering it efficiently to end-users. It’s a static file, and CDN can cache it, enabling quick delivery to various locations. The same movie file is served to millions of users worldwide.

Cache 52

Cache Traffic Games Network 52