VoltDB

JULY 10, 2018

But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database. If the data is common between multiple services, the database layer gets extricated out of microservices in favor of the creation of a common shared data layer. Problem solved, right?

Architecture 40

Architecture Scalability Ecommerce Latency 40

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

O'Reilly Software

JUNE 12, 2018

Back then, the most common pattern I saw for service-based systems was sharing a database among multiple services. The rationale was simple: the data I need is already in this other database, and accessing a database is easy, so I’ll just reach in and grab what I need. And data was at the heart of the problem.

Database 72

Database Cache Architecture Latency 72

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. As a result, it can be delivered quickly to users, leading to faster page load times.

Cache 52

Cache Social Media Website Performance Website 52

All Things Distributed

JUNE 20, 2017

The new region will give Hong Kong-based businesses, government organizations, non-profits, and global companies with customers in Hong Kong, the ability to leverage AWS technologies from data centers in Hong Kong. This enables customers to serve content to their end users with low latency, giving them the best application experience.

AWS 149

AWS Logistics Cloud Social Media 149

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. As a result, it can be delivered quickly to users, leading to faster page load times.

Cache 52

Cache Social Media Website Performance Website 52

ScaleOut Software

JULY 19, 2021

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. The technology that can do this is called in-memory computing. The heavy lifting is deferred to the back office.

IoT 78

IoT Analytics Big Data Architecture 78

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. It also provides a basis for applications to create key status information that the streaming platform aggregates every few seconds to maximize situational awareness.

IoT 52

IoT Azure Analytics Healthcare 52

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. Monitoring tools should also be considered when setting up your Redis® database.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dotcom-Montior

DECEMBER 8, 2021

In the context of IT (Information Technology), an incident is simply an event or issue that disrupts normal operation or quality of service. ITSM is one of the practices of the Information Technology Infrastructure Library, or ITIL. If every issue were classified as urgent, no one would get any resolution. Service Catalog.

Social Media 90

Social Media Monitoring Latency DevOps 90

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

All Things Distributed

MARCH 2, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 114

AWS Cloud Games Latency 114

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 115

AWS Latency Storage Big Data 115

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

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. Simple Queue Service (SQS) is very useful, easy to use, scalable and reliable. Amazon SQS provides highly scalable â??eventual

Efficiency 107

Efficiency Cloud Games Scalability 107

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 119

Cloud AWS Automotive Latency 119

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

All Things Distributed

DECEMBER 3, 2009

Werner Vogels weblog on building scalable and robust distributed systems. This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. All Things Distributed.

AWS 60

AWS Cloud Latency Storage 60

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. Job Openings in AWS - Senior Leader in Database Services. Comments ().

AWS 87

AWS Storage Cloud Big Data 87

Dynatrace

MAY 17, 2023

For that, we focused on OpenTelemetry as the underlying technology and showed how you can use the available SDKs and libraries to instrument applications across different languages and platforms. Apache and MySQL are among the technologies supported by OneAgent. And that’s where Dynatrace OneAgent comes in.

Metrics 173

Metrics Monitoring Database Network 173

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. 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.

Scalability 167

Scalability Database Ecommerce Latency 167

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

Best Practices 52

Best Practices Database Storage Servers 52

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. Job Openings in AWS - Senior Leader in Database Services. Comments ().

AWS 113

AWS Government Big Data Cloud 113

The Netflix TechBlog

FEBRUARY 9, 2021

Retrieve eligible SKUs from SKU Platform The SKU Platform consists of a rules engine, a database, and application logic. The database contains the plans, prices and offers. Lower latency as a result of fewer service calls, which means fewer errors for our visitors. The world is constantly changing.

Engineering 142

Engineering Scalability Architecture Innovation 142

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. Comments ().

AWS 68

AWS Cloud Benchmarking Storage 68

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

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

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

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

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

Dynatrace

NOVEMBER 3, 2021

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. Experienced database administrators learn to spot patterns that can lead to common problems. DevOps practitioners struggle to maintain highly available and scalable applications.

Monitoring 222

Monitoring Metrics DevOps Scalability 222

Percona

MAY 15, 2023

The main reason behind this is that MySQL is a relational database system (RDBMS), and any data that is going to be written in it must respect the RDBMS rules. As said, the last one is probably the most powerful, scalable, and difficult to design, and unfortunately, it represents probably less than 5% of the solution currently deployed.

Traffic 121

Traffic Scalability Database Servers 121

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The data warehouse is not designed to serve point requests from microservices with low latency.

Latency 243

Latency Storage Big Data Tuning 243

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. The Reloaded system is a well-matured and scalable system, but its monolithic architecture can slow down rapid innovation. We call this system Cosmos. The workflow is initiated.

Media 171

Media Innovation Metrics Latency 171

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. A database could start executing a storage management process that consumes database server resources. Observability is made up of three key pillars: metrics, logs, and traces.

Artificial Intelligence 179

Artificial Intelligence Metrics Architecture DevOps 179