Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon EMR. Amazon Redshift.

AWS 200

AWS Metrics IoT Storage 200

Dynatrace

JUNE 1, 2020

Go faster, deliver consistently better results, with less team friction that you ever thought possible, as Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for your Biz, Dev and Ops teams. User Experience and Business Analytics ery user journey and maximize business KPIs.

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

Dynatrace

OCTOBER 1, 2021

When an observability solution also analyzes user experience data using synthetic and real-user monitoring, you can discover problems before your users do and design better user experiences based on real, immediate feedback. The architects and developers who create the software must design it to be observed. Benefits of observability.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. You can use these services in combinations that are tailored to help your business move faster, lower IT costs, and support scalability. Amazon EMR. Amazon Redshift.

AWS 182

AWS Metrics IoT Storage 182

All Things Distributed

NOVEMBER 15, 2016

To scale to a larger number of users and support the growth in data volume spurred by social media, web, mobile, IoT, ad-tech, and ecommerce workloads, these tools require customers to invest in even more infrastructure to maintain performance. While QuickSight supports multiple graph types (e.g., How you can get started.

Analytics 126

Analytics Availability Media Social Media 126

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

Dynatrace

NOVEMBER 8, 2021

” APM vendors originally designed their solutions to quickly identify application performance issues in monolithic on-premises apps. A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs.

Artificial Intelligence 246

Artificial Intelligence Monitoring Infrastructure Cloud 246

Scalegrid

AUGUST 27, 2024

This article expands on the most commonly used RabbitMQ use cases, from microservices to real-time notifications and IoT. Key Takeaways RabbitMQ is a versatile message broker that improves communication across various applications, including microservices, background jobs, and IoT devices.

Ecommerce 130

Ecommerce IoT Games Scalability 130

VoltDB

OCTOBER 30, 2024

You could play with it until you felt like building something else and turning the current models into interior design pieces. Predictive maintenance: While closely related, predictive maintenance is more advanced, relying on data analytics to predict when a component might fail. You build it, and then that was pretty much it.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

All Things Distributed

DECEMBER 13, 2016

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

Dynatrace

JUNE 1, 2020

Go faster, deliver consistently better results, with less team friction that you ever thought possible, as Dynatrace combines a unified data platform with advanced analytics to provide a single source of truth for your Biz, Dev and Ops teams. User Experience and Business Analytics ery user journey and maximize business KPIs.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

Scalegrid

FEBRUARY 11, 2025

MongoDB is a NoSQL database designed for unstructured data, offering flexibility and scalability with a schemaless architecture, making it suitable for applications needing rapid data handling. On the other hand, NoSQL databases, like MongoDB, are designed to handle large amounts of unstructured or semi-structured data.

Scalability 147

Scalability Database Storage IoT 147

All Things Distributed

JUNE 21, 2018

Further, with the growth and scale of Amazon.com, boundless horizontal scale needed to be a key design point--scaling up simply wasn't an option. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values.

Database 167

Database AWS Games Latency 167

All Things Distributed

JULY 14, 2015

A common design pattern is to capture transactional and operational data (such as logs) that require high throughput and performance in DynamoDB, and provide periodic updates to search clusters and data warehouses. DynamoDB Streams simplifies and improves this design pattern with a distributed systems approach. Summing It All Up.

Database 158

Database Lambda AWS IoT 158

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., In previous blogs , we have explored the power of the digital twin model for stateful stream-processing.

IoT 45

IoT Ecommerce Latency Analytics 45

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. IoT Test Automation. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. In 2021 what can we expect?

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

ScaleOut Software

AUGUST 18, 2018

Digital twins are software abstractions that track the behavior of individual devices in IoT applications. Because real-world IoT applications can track thousands of devices or other entities (e.g., In previous blogs , we have explored the power of the digital twin model for stateful stream-processing.

IoT 40

IoT Ecommerce Latency Analytics 40

Dynatrace

JUNE 1, 2021

By default or by design, different teams may deploy a combination of point solutions — specialized monitoring tools that capture the individual components of their application environment. User experience and business analytics. Organizations can take one of two approaches when picking APM tools.

Monitoring 165

Monitoring Mobile Social Media Open Source 165

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 63

Programming IoT Java Analytics 63

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. In a traditional visual analytics pipeline, we compress the data by exploiting the redundancies in time and space. Such compression is designed to replicate the data such that the reconstruction losses are imperceptible to the human eye.

Wireless 55

Wireless IoT Analytics Architecture 55

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

Today ScaleOut Software announces the release of its ground-breaking cloud service for streaming analytics using the real-time digital twin model. Traditional platforms for streaming analytics attempt to look at the entire telemetry pipeline using techniques such as SQL query to uncover and act on patterns of interest.

Logistics 52

Logistics IoT Analytics Azure 52

VoltDB

SEPTEMBER 10, 2024

Industrial IoT (IIoT) really means making industrial devices work together so they can communicate better for the sake of ultimately improving data analytics, efficiency, and productivity. Security Whenever you’re designing data architecture, security needs to be top of mind.

IoT 52

IoT Architecture Scalability Analytics 52

ScaleOut Software

DECEMBER 10, 2019

Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics. Event streams typically combine messages from many data sources, as shown below.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics. Event streams typically combine messages from many data sources, as shown below.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Designing applications that extract real-time insights from streaming telemetry can be a daunting challenge. Importantly, it also can record the results of its analysis in its data object and subject these results to real-time, aggregate analytics. Event streams typically combine messages from many data sources, as shown below.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.

Cloud 52

Cloud Development Analytics Azure 52

ScaleOut Software

AUGUST 20, 2020

This blog post explains how a new software construct called a real-time digital twin running in a cloud-hosted service can create a breakthrough for streaming analytics. A real-time digital twin would take the next step by hosting a predictive analytics algorithm that analyzes changes in these properties.

Cloud 52

Cloud Development Analytics Azure 52

VoltDB

AUGUST 8, 2024

Real-time data platform defined A real-time data platform is designed to ingest, process, analyze, and act upon data instantaneously — right when it’s generated or received. Processing such high data volumes requires robust infrastructure and scalable architecture designed for high performance and high availability.

IoT 52

IoT Latency Traffic Logistics 52

ScaleOut Software

SEPTEMBER 20, 2018

This model organizes key information about each data source (for example, an IoT device, e-commerce shopper, or medical patient) in a software component that tracks the data source’s evolving state and encapsulates algorithms, such as predictive analytics, for interpreting that state and generating real-time feedback.

Programming 40

Programming IoT Java Analytics 40

Tech News Gather

JULY 17, 2023

P2P lending apps use algorithms and data analytics to evaluate interest rates and the creditworthiness of borrowers. IoT (Internet of Things) Through this network of interconnected devices, information can be transferred in an instant. Developers are adopting a mobile-first strategy to guarantee the best mobile user experience.

FinTech 40

FinTech Development IoT Mobile 40

VoltDB

FEBRUARY 29, 2024

Legacy systems integration Many businesses still rely on legacy systems that were not initially designed to handle the demands of modern, interconnected applications. While essential for protecting sensitive data, security measures can introduce additional processing time, contributing to latency in data access and transmission.

Latency 52

Latency Games Traffic Network 52

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Enterprise customers spend a large chunk of their digital and marketing budget on CMS and associated modules such as digital asset management (DAM).

Systems 63

Systems Cache Website Network 63

Adrian Cockcroft

NOVEMBER 18, 2024

From optimizing its data center design to investing in purpose-built chips to implementing new cooling technologies, AWS is working on ways to increase the energy efficiency of its facilities to better serve our customers’ sustainability needs and the scaled use of AI.

AWS 98

AWS Energy Lambda Government 98