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

ScaleOut Software

JULY 14, 2021

The population of intelligent IoT devices is exploding, and they are generating more telemetry than ever. The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes.

IoT 52

IoT Azure Analytics Serverless 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough just to pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. What’s needed is the ability to easily track incoming telemetry from each individual store so that issues can be quickly analyzed, prioritized, and handled.

Logistics 52

Logistics Retail Analytics Azure 52

ScaleOut Software

JANUARY 9, 2020

It’s not enough to just pick out interesting events from an aggregated data stream and then send them to a database for offline analysis using Spark. Traditional platforms for streaming analytics don’t offer the combination of granular data tracking and real-time aggregate analysis that logistics applications such as these require.

Logistics 52

Logistics Retail Analytics Azure 52

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. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

Dynatrace

OCTOBER 11, 2021

Scalability is a major feature of GCF. These functions can connect with supported cloud databases, such as Cloud SQL and Bigtable. GCF also has relevance in IoT and file processing tasks. How Google Cloud Functions works. GCF operates under the following three tenets: Simplify the developer experience. GCF use cases.

Google 224

Google Cloud Serverless Azure 224

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

ScaleOut Software

JULY 27, 2018

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. To help ensure fast data access and scalability, IMDGs usually employ a straightforward key/value storage model.

Scalability 40

Scalability Cache Airlines Healthcare 40

All Things Distributed

APRIL 9, 2015

Amazon ML is highly scalable and can generate billions of predictions, and serve those predictions in real-time and at high throughput. AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Two areas where Lambda is driving a lot of innovation is Mobile and the Internet of Things (IoT).

Lambda 122

Lambda Cloud IoT AWS 122

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Internet of Things (IoT). IoT can be defined as a technology of interconnected devices where human involvement is not required for data transfer. IoT is one of the most vibrant tech trends among current trends in web application development. How does IoT work? IoT tracking systems.

Blockchain 59

Blockchain IoT Development Serverless 59

All Things Distributed

APRIL 4, 2017

After the launch of the AWS EU (Stockholm) Region, there will be 13 Availability Zones in Europe for customers to build flexible, scalable, secure, and highly available applications. After migrating, database queries that took six seconds now take three seconds in their AWS infrastructure. That’s 100% faster.

AWS 116

AWS Airlines Latency Games 116

ScaleOut Software

MAY 19, 2020

Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed. It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Application code can generate alerts, command devices, update the contextual information, and read or update databases as needed. It then triggers application code to process the messages and gives it immediate access to memory-based contextual information for the data source.

Logistics 52

Logistics IoT Analytics Azure 52

All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Cloud 137

Cloud Big Data AWS Analytics 137

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

For example, if an IoT application is attempting to detect whether data from a temperature sensor is predicting the failure of the medical freezer to which it is attached, it looks at patterns in the temperature changes, such as sudden spikes or a continuously upward trend, without regard to the freezer’s usage or service history.

Processing 40

Processing IoT Programming Software Engineering 40

Enprowess

SEPTEMBER 7, 2021

IoT-based applications. Scalability: Applications developed with Node.js Developers are able to create scalable and fast apps suitable for all platforms due to its “learn once write anywhere” principle. These frameworks are the fundamentals of the MERN stack, which comprises: MongoDB – document-based NoSQL database.

Open Source 52

Open Source Virtualization Programming Servers 52