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. An embodiment for structured data for IoT.

Blockchain 94

Blockchain Internet Internet IoT 94

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

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

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. From Distributed Caches to Real-Time Digital Twins.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Azure IoT Functions, for instance, processes requests for Azure IoT Edge.

Azure 137

Azure Serverless IoT Lambda 137

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 Triggers.

Database 167

Database Lambda AWS IoT 167

Dynatrace

JANUARY 26, 2021

Within this paradigm, it is possible to run entire architectures without touching a traditional virtual server, either locally or in the cloud. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. Connecting IoT devices (for example, AWS IoT Device Management ).

Serverless 243

Serverless Efficiency Lambda Azure 243

Testsigma

FEBRUARY 12, 2021

Just a manual testing approach would not suffice for today’s wired devices and dynamic architectural applications of Industry 4.0. We have software that communicates with different components, such as APIs, databases, and hardware, and data flows in real-time across many connected devices in the IoT environment (internet of things).

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

Dynatrace

DECEMBER 18, 2020

App architecture. First, let’s explore the architecture of these apps: BizOpsConfigurator. There are no hosts, no backend, no database – just HTML, CSS, and JavaScript. In fact, Dynatrace customers use OpenKit to monitor many digital touchpoints like ATMs, kiosks, and IoT devices. Dashboard Powerups.

Analytics 136

Analytics Metrics IoT Monitoring 136

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). Serverless Architecture. 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?

Blockchain 59

Blockchain IoT Development Serverless 59

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Application architecture to gain insights into how application architecture changes impact performance and user experience. Point solutions only provide a limited view of a company’s application architecture.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper. Why do we need a new reference architecture?

Cloud 104

Cloud Big Data Latency Architecture 104

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

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

The technology develops single-page applications , websites, and backend API services designed with real-time and push-based architectures. IoT-based applications. These frameworks are the fundamentals of the MERN stack, which comprises: MongoDB – document-based NoSQL database. Use cases of Node.js Micro-services.

Open Source 52

Open Source Virtualization Programming Servers 52

Strategic Tech

APRIL 27, 2019

Layers start to emerge and as a result, shipping new customer-facing features require changes that cut through multiple layers of the architecture. Being aware of the patterns inherent to layered sociotechnical architectures can save you a lot of pain and politics in the long-term. As a consequence, we also have subservient teams?—?teams

Software Architecture 58

Software Architecture Architecture Government Design 58

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. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. That’s where performance problems can begin.

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. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. That’s where performance problems can begin.

Scalability 40

Scalability Cache Airlines Healthcare 40

All Things Distributed

NOVEMBER 15, 2016

The reality is that many traditional BI solutions are built on top of legacy desktop and on-premises architectures that are decades old. In addition to AWS data sources, QuickSight also lets customers connect to third-party databases running on Amazon EC2 or on-premises and popular business applications like Excel and Salesforce.

Analytics 152

Analytics Availability Media Social Media 152