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

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

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . 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.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . 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.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. DevOps practitioners struggle to maintain highly available and scalable applications.

Monitoring 223

Monitoring Metrics DevOps Scalability 223

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

JULY 17, 2023

DBAs and developers appreciate its combination of flexibility, scalability, and performance. It’s a good setup for real-time analytics and high-speed logging. Redis can handle a high volume of operations per second, making it useful for running applications that require low latency. Couchbase — No.

Open Source 79

Open Source Database Scalability Software 79

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

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.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Dotcom-Montior

NOVEMBER 24, 2021

Gone are the days of monolithic architecture. When we think of a system’s architecture, the first thing that may pop into your mind is the traditional client-server system, where a server was the shared resource among many different devices and machines, like printers, computes, clients, etc. Scalability. Multi-Tier.

Systems 74

Systems Monitoring Hardware Network 74

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. Pipeline is infinitely scalable Given the elasticity offered by public clouds, one would think that data pipelines are infinitely scalable which is entirely misleading.

Latency 63

Latency Analytics Scalability Engineering 63

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.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

Smashing Magazine

AUGUST 3, 2023

But once we had a good understanding, we knew exactly what to look for and began analyzing the analytics of our user data to identify areas that could be improved. We can then forward this data to a custom analytics service. We realized that we needed to consider a more global and scalable solution to better serve our global audience.

Performance 74

Performance Cache Traffic Metrics 74

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

HammerDB

OCTOBER 12, 2018

On the other hand if testing MySQL or MariaDB for the ability to handle a more complex workload such as the use of stored procedures and in particular if looking to compare scalability with a traditional database then HammerDB is focused more towards testing those enterprise features. cpupower frequency-info analyzing CPU 0: .

Best Practices 40

Best Practices Scalability Performance C++ 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 45

IoT Ecommerce Analytics Latency 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 40

IoT Ecommerce Analytics Latency 40

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. To harden the system against advanced cyber attacks, it’s intentionally difficult to write to cryptocurrency blockchains.

Blockchain 45

Blockchain Technology Technology Database 45

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. Driving down the cost of Big-Data analytics. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

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. To harden the system against advanced cyber attacks, it’s intentionally difficult to write to cryptocurrency blockchains.

Blockchain 40

Blockchain Technology Technology Database 40

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

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 67

AWS Cloud Benchmarking Storage 67

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

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. Kafka messaging queue is well known implementation of such a buffer that also supports scalable distributed deployments, fault-tolerance, and provides high performance.

Big Data 154

Big Data Processing Lambda Database 154

ScaleOut Software

MAY 4, 2014

Supercomputing systems use scalable networks such as torus interconnects ; commodity clusters typically use Ethernet switches with fixed bandwidth.). For example, a recent data set used in an e-commerce analytics application held 40 million objects totaling about 2 TB of data including replicas. Finding the Right Balance.

Network 40

Network Servers Analytics Storage 40

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. At Netflix, we also heavily embrace a microservice architecture that emphasizes separation of concerns. Moving data with Bulldozer at Netflix.

Latency 243

Latency Storage Big Data Tuning 243

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 145

Performance Cache Network Metrics 145

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. Amazon Redshift) and Elasticsearch machines. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. Maestro is highly scalable and extensible to support existing and new use cases and offers enhanced usability to end users. This has led to a few internal solutions such as Psyberg.

Processing 210

Processing Big Data Efficiency Engineering 210

ScaleOut Software

MAY 15, 2014

Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. ScaleOut hServer takes analytics a step further by hosting full Hadoop MapReduce on the IMDG.

Cache 40

Cache Servers Network Design 40

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Keeping progressive enhancement as the guiding principle of your front-end architecture and deployment is a safe bet.

Performance 103

Performance Cache Metrics Network 103

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. For example, the most fundamental abstraction trade-off has always been latency versus throughput. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. All Things Distributed.

AWS 136

AWS Latency Programming Architecture 136