High Scalability

JANUARY 11, 2022

Architecture. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. This will not only reduce the overall latency in displaying the user-feeds to users but will also prevent re-computation of user-feeds. Sending and receiving messages from other users.

Design 334

Design Media Storage Logistics 334

Dynatrace

JULY 18, 2023

This is especially crucial in microservice architectures, where the number of components can be overwhelming. While developers edit files, a simple CLI command applies configurations to Dynatrace and, for example, automates the setup of a quality gate, including workflows and Site Reliability Guardians.

Best Practices 188

Best Practices Code Infrastructure Latency 188

Dynatrace

APRIL 5, 2021

This is where Lambda comes in: Developers can deploy programs with no concern for the underlying hardware, connecting to services in the broader ecosystem, creating APIs, preparing data, or sending push notifications directly in the cloud, to list just a few examples. Some common examples include: A request through API Gateway or Amplify.

Lambda 179

Lambda AWS Serverless Hardware 179

O'Reilly Software

DECEMBER 11, 2017

A message-based microservices architecture offers many advantages, making solutions easier to scale and expand with new services. The asynchronous nature of interservice interactions inherent to this architecture, however, poses challenges for user-initiated actions such as create-read-update-delete (CRUD) requests on an object.

Architecture 68

Architecture Government Latency Efficiency 68

The Netflix TechBlog

AUGUST 30, 2021

For example, when running tests, the state of the device will change from “available for testing” to “in test.” The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. million elements.

Latency 213

Latency Traffic Transportation Cloud 213

Dynatrace

SEPTEMBER 30, 2021

The breadth of fully-featured services, the pay-as-you-go scalability, and the agility of cloud platforms enable organizations to expand their modern approaches to building and managing digital services in a way they can’t with on-premises apps and infrastructure. Increased scalability. Reduced cost.

Cloud 164

Cloud Traffic Best Practices Strategy 164

IO River

NOVEMBER 2, 2023

Caching improves performance, reduces bandwidth usage, and enhances scalability by reducing the load on the origin server.Faster Loading Times: Static content is pre-generated and does not require server-side processing. For example, BBC and CNN benefit greatly from dynamic content. For example, consider tools like ChatGPT.

Cache 52

Cache Social Media Website Performance Website 52

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This architecture does not apply computing resources to track the myriad data sources sending telemetry and continuously look for issues and opportunities that need immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

Dotcom-Montior

NOVEMBER 11, 2020

In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost. Scalability. Applications that are running continuously on a dedicated server aren’t as impacted by latency issues.

Serverless 57

Serverless Monitoring Lambda Latency 57

IO River

NOVEMBER 2, 2023

Caching improves performance, reduces bandwidth usage, and enhances scalability by reducing the load on the origin server.Faster Loading Times: Static content is pre-generated and does not require server-side processing. For example, BBC and CNN benefit greatly from dynamic content. For example, consider tools like ChatGPT.

Cache 52

Cache Social Media Website Performance Website 52

Smashing Magazine

SEPTEMBER 28, 2022

For example, in Next.js, you can load a student list writing: export default function Home({ studentList }) { return ( <Layout home> <ul> {studentList.map(({ id, name, age }) => ( <li key={id}> {name} <br /> {age} </li> ))} </ul> </Layout> ); }. Common Websocket Architecture.

Cache 126

Cache Performance Servers Social Media 126

Abhishek Tiwari

JULY 12, 2018

Here are 8 fallacies of data pipeline The pipeline is reliable Topology is stateless Pipeline is infinitely scalable Processing latency is minimum Everything is observable There is no domino effect Pipeline is cost­-effective Data is homogeneous The pipeline is reliable The inconvenient truth is that pipeline is not reliable.

Latency 63

Latency Analytics Scalability Engineering 63

All Things Distributed

NOVEMBER 26, 2013

About 5 years ago, I introduced you to AWS Availability Zones, which are distinct locations within a Region that are engineered to be insulated from failures in other Availability Zones and provide inexpensive, low latency network connectivity to other Availability Zones in the same region.

Cloud 145

Cloud AWS Traffic Latency 145

All Things Distributed

NOVEMBER 8, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The Amazon Simple Queue Service (SQS) is a highly scalable, reliable and elastic queuing service that just works. For example, Netflix uses SQS for a variety of use-cases such as monitoring and encoding workflows. Amazon SQS provides highly scalable â??eventual

Efficiency 104

Efficiency Cloud Games Scalability 104

ScaleOut Software

APRIL 6, 2021

Because it runs on a scalable, highly available in-memory computing platform, it can do all this simultaneously for hundreds of thousands or even millions of data sources. For example, consider some of the new capabilities that real-time digital twins can provide in fleet telematics and vaccine distribution during COVID-19.

IoT 52

IoT Azure Analytics Healthcare 52

Testsigma

AUGUST 24, 2020

For example, if one of the test environments used to run automation tests is down, an alert message for the same helps you act timely to rectify it rather than digging into the cause of the non-arrival of the test report for scheduled test automation run. Such scalability issues aren’t always noticeable in the beginning.

Testing 69

Testing Open Source Scalability Latency 69

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis. Consider the above example of querying shopping carts exceeding a threshold value.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis. Consider the above example of querying shopping carts exceeding a threshold value.

Analytics 52

Analytics Airlines Cache Scalability 52

All Things Distributed

SEPTEMBER 25, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Being able to get consistent performance from the database tier has a huge impact on the application architecture. As a consequence, these simpler architectures are more cost-effective and easier to make reliable because there are fewer moving parts.

Cloud 117

Cloud AWS Storage Database 117

The Netflix TechBlog

FEBRUARY 9, 2021

In particular, we’ll define plans and offers, review the legacy architecture and some of its shortcomings, and dig into our new architecture and some of its advantages. Let’s take a deeper look at the architecture, protocols, and systems involved. A plan is essentially a set of features with a price.

Engineering 142

Engineering Scalability Architecture Innovation 142

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. All Things Distributed. By Werner Vogels on 12 July 2010 05:00 PM.

Cloud 118

Cloud AWS Automotive Latency 118

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

VoltDB

FEBRUARY 28, 2018

As a result, these iterations of blockchain have extremely low throughput, extremely high latency, and low capacity—none of which is acceptable for, as an example, mission-critical trading systems in financial services. With VoltDB V8, we’ve added support for CTEs and recursive CTEs for graph traversal.

Blockchain 45

Blockchain Technology Technology Database 45

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The digital twin provides a powerful answer to this challenge.

IoT 45

IoT Ecommerce Analytics Latency 45

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.

Processing 229

Processing Media Latency Innovation 229

VoltDB

FEBRUARY 28, 2018

As a result, these iterations of blockchain have extremely low throughput, extremely high latency, and low capacity—none of which is acceptable for, as an example, mission-critical trading systems in financial services. With VoltDB V8, we’ve added support for CTEs and recursive CTEs for graph traversal.

Blockchain 40

Blockchain Technology Technology Database 40

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The digital twin provides a powerful answer to this challenge.

IoT 40

IoT Ecommerce Analytics Latency 40

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. A simple example is the situation with Persons and Telephones; a person has a name, a person can have one or more telephones and each phone can have one or more telephone numbers. All Things Distributed. Expanding the Cloud with DNS - Introducing Amazon Route 53.

Cloud 117

Cloud Internet Internet AWS 117

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. Below is an example Dynatrace problem card, which shows how a spike in Cassandra write latency impacts your application.

Azure 235

Azure Latency Metrics Infrastructure 235

High Scalability

JULY 20, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. That’s mapping applications to the specific architectural choices. Do you like this sort of Stuff? Please lend me your support on Patreon.

Internet 121

Internet Internet Scalability Automotive 121

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 third generation, called Reloaded , has been online for about seven years and has proven to be stable and massively scalable.

Serverless 228

Serverless Media Latency Social Media 228

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 For example, it is OK to send writes through one instance, and do reads from another one with full data read consistency guarantees.

Cache 224

Cache Latency Traffic Systems 224

Abhishek Tiwari

DECEMBER 27, 2017

Under the hood, the BlueData used several enhancements to boosts the I/O performance and scalability of container-based clusters. For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Twitter Heron is another good example of this approach.

Big Data 63

Big Data Storage Benchmarking Hardware 63

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. A typical example of pipelining is shown below: In this example, the hash join algorithm is employed to join four relations: R1, S1, S2, and S3 using 3 processors.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring. Examples include a spike in memory utilization, a decrease in cache hit ratio, or an increase in CPU utilization.

Monitoring 219

Monitoring Metrics DevOps Scalability 219

The Netflix TechBlog

NOVEMBER 2, 2021

As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. 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. via bug fixes).

Media 171

Media Innovation Metrics Latency 171