VoltDB

JULY 10, 2018

This goal has been attempted to be addressed from the beginning of time: think of Object Oriented Programming, Service Oriented Architecture, Enterprise Service Bus and now Microservices. But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database.

Architecture 40

Architecture Scalability Ecommerce Latency 40

O'Reilly Software

JUNE 12, 2018

In fact, before we even had the word microservices in our lexicon, back when it was just good old-fashioned service-oriented architecture, we were talking about data: how to access it, where it lives, who “owns” it. Back then, the most common pattern I saw for service-based systems was sharing a database among multiple services.

Database 72

Database Cache Architecture Latency 72

Dynatrace

APRIL 5, 2021

These include website hosting, database management, backup and restore, IoT capabilities, e-commerce solutions, app development tools and more, with new services released regularly. A new record entering a database table. Tasks like API requests, database calls, and file system management are perfect candidates for this service.

Lambda 181

Lambda AWS Serverless Hardware 181

Dynatrace

SEPTEMBER 30, 2021

Digital transformation, the process of integrating digital technology into all areas of a business, is a foundational change in how modern organizations deliver value to customers and improve internal processes. Cloud migration can also be an opportunity for organizations to embrace green-field technologies and projects from the ground up.

Cloud 167

Cloud Traffic Best Practices Strategy 167

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Effortlessly optimize Azure database performance.

Azure 148

Azure Cloud Big Data Virtualization 148

IO River

NOVEMBER 2, 2023

This means that while static content may inherently lack personalization, modern technologies are emerging that can manipulate it to deliver a more personalized experience. It requires expertise in server-side scripting languages, database management, and integration with content management systems or APIs.

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. Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention.

IoT 78

IoT Analytics Big Data Architecture 78

IO River

NOVEMBER 2, 2023

This means that while static content may inherently lack personalization, modern technologies are emerging that can manipulate it to deliver a more personalized experience. It requires expertise in server-side scripting languages, database management, and integration with content management systems or APIs.

Cache 52

Cache Social Media Website Performance Website 52

All Things Distributed

OCTOBER 25, 2013

In the back to basics readings this week I am re-reading a paper from 1995 about the work that I did together with Thorsten on solving the problem of end-to-end low-latency communication on high-speed networks. The lack of low-latency made that distributed systems (e.g. The lack of low-latency made that distributed systems (e.g.

Network 99

Network Latency Operating System Speed 99

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. However, Redis, with its single-threaded architecture, may encounter bottlenecks with large numbers of concurrent connections.

Cache 130

Cache Storage Scalability Architecture 130

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

DECEMBER 8, 2017

Microservices architecture has emerged over the last few years as a way to address these large scale engineering challenges. Q2: How can you architect microservices and avoid increased latency due to multiple services replacing a monolithic service? This is where a highly-transactional database helps.

Latency 40

Latency Virtualization Cloud Software Engineering 40

VoltDB

DECEMBER 8, 2017

Microservices architecture has emerged over the last few years as a way to address these large scale engineering challenges. Q2: How can you architect microservices and avoid increased latency due to multiple services replacing a monolithic service? This is where a highly-transactional database helps.

Latency 40

Latency Virtualization Cloud Software Engineering 40

Scalegrid

FEBRUARY 8, 2024

This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology. Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

JULY 13, 2010

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. When instances are placed in a cluster they have access to low latency, non-blocking 10 Gbps networking when communicating the other instances in the cluster.

Cloud 119

Cloud AWS Automotive Latency 119

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision.

Blockchain 94

Blockchain Internet Internet IoT 94

All Things Distributed

NOVEMBER 8, 2012

For example, AWS customers use SQS for asynchronous communication pipelines, buffer queues for databases, asynchronous work queues, and moving latency out of highly responsive requests paths. Today, the SQS team is launching two important features â?? Long Polling and richer client functionality in the SQS SDK â??

Efficiency 107

Efficiency Cloud Games Scalability 107

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.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ScaleOut Software

APRIL 6, 2021

Because ScaleOut’s in-memory data grid runs in an organization’s data center and avoids the requirement to use a cloud-hosted message hub or REST service, incoming messages from data sources can be processed with minimum latency.

IoT 52

IoT Azure Analytics Healthcare 52

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

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. Job Openings in AWS - Senior Leader in Database Services. Amazon DynamoDB â??

AWS 68

AWS Cloud Benchmarking Storage 68

All Things Distributed

DECEMBER 5, 2010

While registrars manage the namespace in the DNS naming architecture, DNS servers are used to provide the mapping between names and the addresses used to identify an access point. The Domain Name System is a wonderful practical piece of technology; it is a fundamental building block of our modern internet. Amazon DynamoDB â??

Cloud 117

Cloud Internet Internet AWS 117

Dynatrace

JANUARY 26, 2021

The phrase “serverless computing” appears contradictory at first, but for years now, successful companies have understood the benefit of using serverless technologies to streamline operations and reduce costs. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms.

Serverless 244

Serverless Efficiency Lambda Azure 244

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases.

Big Data 253

Big Data Government Analytics Processing 253

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database.

Database 167

Database Lambda AWS IoT 167

Percona

JULY 17, 2023

MongoDB Community Edition software might set the stage for achieving your high-volume database goals, but you quickly learn that its features fall short of your enterprise needs. You’re also not certain its features will always align with your evolving technology needs. 5 among all database management systems and No.

Open Source 74

Open Source Database Scalability Software 74

Scalegrid

OCTOBER 17, 2019

In that environment, the first PostgreSQL developers decided forking a process for each connection to the database is the safest choice. It would be a shame if your database crashed, after all. Moving to a multithreaded architecture will require extensive rewrites. The PostgreSQL Architecture | Source.

Architecture 200

Architecture Database Latency Servers 200

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB offers low, predictable latencies at any scale. Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. HyperScale Database. Hyperscale databases are provisioned using vCores. DTU Pricing Tier.

Azure 55

Azure Database Serverless Hardware 55

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. They are particularly important in distributed systems, such as microservices architectures. Observability platforms are becoming essential as the complexity of cloud-native architectures increases.

Artificial Intelligence 179

Artificial Intelligence Metrics Architecture DevOps 179

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. Dynatrace news.

Monitoring 222

Monitoring Metrics DevOps Scalability 222

The Netflix TechBlog

FEBRUARY 18, 2022

Motivation With the rapid growth in Netflix member base and the increasing complexity of our systems, our architecture has evolved into an asynchronous one that enables both online and offline computation. Architecture As shown in the diagram above, the RENO service can be broken down into the following components.

Systems 334

Systems Traffic Architecture Mobile 334

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. The database contains the plans, prices and offers.

Engineering 142

Engineering Scalability Architecture Innovation 142

The Netflix TechBlog

NOVEMBER 2, 2021

The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. This enables us to use our scale to increase throughput and reduce latencies. Here, based on the video length, the throughput and latency requirements, available scale etc., via bug fixes).

Media 171

Media Innovation Metrics Latency 171

The Netflix TechBlog

DECEMBER 17, 2019

Andreas Andreakis , Ioannis Papapanagiotou Overview Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. Designed with High Availability in mind.

Database 212

Database Traffic Transportation Open Source 212