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

Dynatrace

OCTOBER 23, 2023

As such, the observability platform used to monitor Hyper-V should ideally fulfill requirements for holistic visibility, correlation and causation analysis, AI-powered analytics, scalability, and security. Dynatrace is a platform that satisfies all these criteria. Learn more about the pillars of modern observability in this e-book.

Efficiency 203

Efficiency Virtualization Hardware Performance 203

High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. We note that for MongoDB update latency is really very low (low is better) compared to other dbs, however the read latency is on the higher side. Again Yugabyte latency is quite high. Author & founder of BangDB.

Benchmarking 308

Benchmarking Latency C++ Database 308

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

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. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Developing Your Hybrid Cloud Strategy When devising a strategy for a hybrid cloud, numerous critical elements must be considered. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

Analytics 52

Analytics Airlines Cache Scalability 52

High Scalability

JANUARY 11, 2022

Currently, he is in the Alexa Shopping organization where he is developing machine-learning-based solutions to send personalized reorder hints to customers for improving their experience. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. Problem Statement.

Design 334

Design Media Storage Logistics 334

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. To simplify development for.NET applications, it uses Microsoft’s language integrated query ( LINQ ) to specify queries.

Analytics 52

Analytics Airlines Cache Scalability 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

Scalegrid

JANUARY 12, 2024

With extensive computational resources at their disposal alongside massive pools of information, developers can utilize these powerful tools to train ML models efficiently or run AI algorithms effectively by accessing stored datasets from anywhere through the internet connection provided by most reputable providers’ hosting services.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 1, 2021

Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. The architects and developers who create the software must design it to be observed.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. The next challenge was to stream large amounts of traces via a scalable data processing platform.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. The evolution of DevOps automation Since the concept of DevOps emerged around 2007 and 2008 in response to pain points with Agile development, DevOps automation has been continuously evolving.

DevOps 209

DevOps Traffic Efficiency Servers 209

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Error Handling Errors are part of software development. Some of the common supported data reprocessing use cases are listed below.

Media 237

Media Traffic Processing Design 237

Percona

JULY 17, 2023

Developers and DBAs like MongoDB’s ease-of-use. DBAs and developers appreciate its combination of flexibility, scalability, and performance. DBAs and developers appreciate its combination of flexibility, scalability, and performance. It’s a good setup for real-time analytics and high-speed logging.

Open Source 75

Open Source Database Scalability Software 75

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. Multi-CDN is the practice of employing a number of CDN providers simultaneously.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. In recent times, in order to gain valuable insights or to develop the data-driven products companies such as Netflix, Spotify, Uber, AirBnB have built internal data pipelines. It can be used to power new analytics, insight, and product features.

Latency 63

Latency Analytics Scalability Engineering 63

Dotcom-Montior

OCTOBER 6, 2021

Since then, the concept of site reliability engineering has evolved and made its way into the broader software development industry and is now its own role within organizations. Site reliability engineers bridge the gap between operations and software developers. What Does a Site Reliability Engineer Do?

Engineering 67

Engineering DevOps Monitoring Google 67

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. Multi-CDN is the practice of employing a number of CDN providers simultaneously.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

Smashing Magazine

AUGUST 3, 2023

A cornerstone of our business model lies in the development of effective landing pages. 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.

Performance 75

Performance Cache Traffic Metrics 75

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. For basic and simple websites, a developer was able to easily automate these checks and fix any problems before a user encountered them. Scalability. The recipe was straightforward. Do you have a database?

Systems 74

Systems Monitoring Hardware Network 74

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 114

AWS Latency Storage Big Data 114

HammerDB

OCTOBER 18, 2019

As noted previously the main developer of HammerDB is an Intel employee (#IAMINTEL) however HammerDB is a personal open source project and any opinions are my own, specific to the context of HammerDB as an independent personal project and not representing Intel. So by default, the system boots into powersave.

Benchmarking 63

Benchmarking Performance Hardware C++ 63

O'Reilly Software

APRIL 4, 2018

Here are five considerations every software architect and developer needs to take into account when setting the architectural foundations for a fast data platform. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. Determine requirements first. At least once?

Architecture 80

Architecture Scalability Google Operating System 80

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. Driving down the cost of Big-Data analytics. All Things Distributed.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Today, I am very proud to be a part of the Amazon Web Services team as we truly make HPC available as an on-demand commodity for every developer to use. There has been no easy way for developers to do this in Amazon EC2. All Things Distributed.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

JULY 11, 2011

Werner Vogels weblog on building scalable and robust distributed systems. As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. Driving down the cost of Big-Data analytics. All Things Distributed.

AWS 85

AWS Storage Cloud Big Data 85

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

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

APRIL 28, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services. All Things Distributed.

AWS 61

AWS Cloud Latency Storage 61

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

OCTOBER 12, 2016

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. Developers love the blazing fast performance and in-memory capabilities provided by Redis, making it among the most popular NoSQL key-value stores.

Scalability 130

Scalability Analytics Cache AWS 130

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. s Dynamo technology , which was one of the first non-relational databases developed at Amazon. Amazon DynamoDB offers low, predictable latencies at any scale.

Scalability 167

Scalability Database Ecommerce Latency 167

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Partitioning and Shuffling.

Big Data 154

Big Data Processing Lambda Database 154

Smashing Magazine

JANUARY 6, 2020

In many organizations, front-end developers know exactly what common underlying problems are and what loading patterns should be used to fix them. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Establish a performance culture. thanks, Guy Podjarny!

Performance 145

Performance Cache Network Metrics 145

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. The data warehouse is not designed to serve point requests from microservices with low latency. Moving data with Bulldozer at Netflix.

Latency 243

Latency Storage Big Data Tuning 243