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

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

OCTOBER 10, 2022

Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. Serverless benefits include the following: Dynamic scalability. Reduced latency. Serverless architecture makes it possible to host code anywhere, rather than relying on an origin server. Cost-effectiveness.

Serverless 163

Serverless Infrastructure Lambda Latency 163

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

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

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Percona

NOVEMBER 9, 2023

But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking.

Efficiency 107

Efficiency Cloud Healthcare Open Source 107

The Netflix TechBlog

AUGUST 30, 2021

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. System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform.

Latency 213

Latency Traffic Transportation Hardware 213

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations.

Strategy 130

Strategy Cloud Government Innovation 130

The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., As it is infeasible to test every OLAP system runnable on AWS, we chose widely-used systems that represented a variety of architectures and cost models. Scalability. VLDB’19. Key findings. Query restrictions. The last word.

Architecture 76

Architecture Cloud Storage Serverless 76

Dynatrace

APRIL 5, 2021

You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. Lambda’s highly efficient, on-demand computing environment aligns with today’s microservices-centric architectures, and readily integrates with other popular AWS offerings that an organization may already be using.

Lambda 178

Lambda AWS Serverless Hardware 178

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture. What is Multi-CDN?A

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

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

IO River

NOVEMBER 2, 2023

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. This increased bandwidth consumption can affect server costs, network performance, and user data usage.‍How How Can You Boost Website Performance?To

Cache 52

Cache Social Media Website Performance Website 52

Dotcom-Montior

NOVEMBER 24, 2021

There was a time when standing up a website or application was simple and straightforward and not the complex networks they are today. Gone are the days of monolithic architecture. These systems can include physical servers, containers, virtual machines, or even a device, or node, that connects and communicates with the network.

Systems 74

Systems Monitoring Hardware Network 74

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. Inconsistent performance.

Cloud 163

Cloud Traffic Best Practices Strategy 163

The Morning Paper

FEBRUARY 6, 2020

The key ingredients of Cloudburst are a highly-scalable key-value store for persistent state ( Anna ), local caches co-located with function execution environments, and cache-consistency protocols to preserve developer sanity while data is moved in and out of those caches. High level architecture.

Lambda 98

Lambda Serverless Cache Latency 98

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture. What is Multi-CDN?A

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

The Morning Paper

JUNE 23, 2019

The stateless + RInk (S+RInK) architecture attempts to provide the best of both worlds: to simultaneously offer both the implementation and operational simplicity of stateless application servers and the performance benefits of servers caching state in RAM. We’ve seen similar high marshalling overheads in big data systems too.) Who knew! ;).

Cache 79

Cache Latency Google Lambda 79

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

IO River

NOVEMBER 2, 2023

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. This increased bandwidth consumption can affect server costs, network performance, and user data usage.‍How Can You Boost Website Performance?To

Cache 52

Cache Social Media Website Performance Website 52

Smashing Magazine

AUGUST 3, 2023

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. You need to beware of large HTML files or slow network connections because they can lead to longer download times.

Performance 74

Performance Cache Traffic Metrics 74

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). An IDS/IPS monitors network flows and matches incoming packets (or more strictly, Protocol Data Units, PDUs) against a set of rules. This makes the whole system latency sensitive. IDS/IPS requirements.

Servers 128

Servers Hardware Latency Design 128

Smashing Magazine

SEPTEMBER 28, 2022

The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish. It essentially describes the lifetime of each file you download to load your page from the network. You can see this by opening your browser and looking in the Networking tab.

Performance 125

Performance Cache Servers Social Media 125

The Morning Paper

SEPTEMBER 10, 2019

When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. are divided. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0, At least once?

Architecture 80

Architecture Scalability Google Operating System 80

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

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. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU. Java applications use a similar mechanism.).

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. Because all the work is performed with the IMDG, this has the two-fold advantage of offloading both the network and the client’s CPU. Java applications use a similar mechanism.).

Analytics 52

Analytics Airlines Cache Scalability 52

Testsigma

AUGUST 24, 2020

Maintaining test data in a central repository and then accessing it from different test environments may ease this problem but may introduce other issues like network latency in tests. Scalability Issues: Not all testing frameworks/tools may be suitable for scaling purposes.

Testing 69

Testing Open Source Scalability Latency 69

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

The Morning Paper

OCTOBER 10, 2019

As image recognition architectures are evolving quickly, we want to iterate our three specialized embeddings with modern architectures to improve our three visual search products. Model architecture. Building blocks: classification and multi-task learning. either 1 or 0) that collapses the range into two poles. A/B testing.

Latency 58

Latency Storage Architecture Traffic 58

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. All Things Distributed. By Werner Vogels on 12 July 2010 05:00 PM. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

Enprowess

SEPTEMBER 7, 2021

The technology develops single-page applications , websites, and backend API services designed with real-time and push-based architectures. Scalability: Applications developed with Node.js with its low latency I/O operations, gives the benefit of ‘No buffering’ to developers. Network: Node.js Use cases of Node.js

Open Source 52

Open Source Virtualization Programming Servers 52

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Often these namespaces are hierarchical in nature such that it becomes easier to manage them and to decentralize control, which makes the system more scalable. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

Cloud 117

Cloud Internet Internet AWS 117

SQL Server According to Bob

SEPTEMBER 26, 2016

Performance issues surrounding Availability Groups typically were related to disk I/O or network speeds. Our customers who deployed Availability Groups were now using servers for primary and secondary replicas with 12+ core sockets and flash storage SSD arrays providing microsecond to low millisecond latencies.

Availability 40

Availability Servers Hardware Benchmarking 40

VoltDB

JUNE 1, 2017

It was – like the hypothetical movie I describe above – more than a little bit odd, as you could leave a session discussing ever more abstract layers of virtualization and walk into one where they emphasized the critical importance of pinning a network interface to a specific VM for optimal performance.

Hardware 56

Hardware Latency Virtualization Cloud 56