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., Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 45

IoT Ecommerce Analytics Latency 45

Scalegrid

MAY 13, 2020

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Here are some of the key Greenplum advantages that can help you improve your database performance: High Performance.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 8, 2021

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

Artificial Intelligence 235

Artificial Intelligence Monitoring Infrastructure Cloud 235

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., Because real-world IoT applications can track thousands of devices or other entities (e.g.,

IoT 40

IoT Ecommerce Analytics Latency 40

Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Cloud Functions are ideal for creating backends, making integrations, completing processing tasks, and performing analysis.

Google 226

Google Cloud Serverless Azure 226

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. APM can be referred to as: Application performance monitoring. Application performance management. Performance monitoring.

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183

The Morning Paper

OCTOBER 4, 2020

Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption , Xu et al., There are high hopes for 5G , for example unlocking new applications in UHD streaming and VR, and machine-to-machine communication in IoT. Application performance. SIGCOMM’20. The short answer is no.

Energy 130

Energy Latency Performance Network 130

Testsigma

FEBRUARY 12, 2021

The latest trend in hyperautomation – Gartner projects that by the year 2023, 25% of tasks by the organisations will be able to perform autonomously and hence reducing the cost. IoT Test Automation. There is a huge expansion and the need for a good IoT research plan. . Better and quicker services are urgently needed today.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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. Message are delivered to the grid using messaging hubs, such as Azure IoT Hub, AWS IoT Core, Kafka, a built-in REST service, or directly using APIs.

IoT 52

IoT Azure Analytics Healthcare 52

Enprowess

JANUARY 12, 2022

Internet of Things (IoT). 24*7 Availability : Chatbots are available 24×7 and can respond to your customer’s queries as fast as possible. Internet of Things (IoT). IoT can be defined as a technology of interconnected devices where human involvement is not required for data transfer. How does IoT work?

Blockchain 59

Blockchain IoT Development Serverless 59

Dynatrace

OCTOBER 1, 2021

Because cloud services rely on a uniquely distributed and dynamic architecture, observability may also sometimes refer to the specific software tools and practices businesses use to interpret cloud performance data. Observability enables you to understand what is slow or broken and what needs to be done to improve performance.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JULY 6, 2020

Effortlessly optimize Azure database performance. Database-service views provide all the metrics you need to set up high-performance database services. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. Get full observability into your Azure MySQL database.

Azure 149

Azure Cloud Big Data Virtualization 149

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. Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. Optimizing Lambda for performance.

Lambda 183

Lambda AWS Serverless Hardware 183

Dynatrace

SEPTEMBER 30, 2021

Not only will they get much more out of the tools they use daily, but they’ll also be able to deliver superior functionality, efficiency, and performance to your customers. What kinds of AWS certifications are available today? As of June 2021, Amazon currently offers 11 certifications. Then this one’s for you.

AWS 214

AWS Best Practices Analytics Cloud 214

Apica

NOVEMBER 15, 2019

With the continued growth of applications being used in and out of an organization, getting a firm grasp on the performance of these devices and its impact on your IT environment is important. With this growth and added complexity, how are your legacy performance testing solutions keeping up? The short answer is that they aren’t.

Performance Testing 40

Performance Testing Testing Performance Games 40

Tech News Gather

JULY 19, 2023

Smart home automation is the process of automating your house by using Internet of Things (IoT) devices to manage your lights, appliances, HVAC, entertainment, security cameras, and alarms, and other sensors for things like water or gas leaks. This action may prevent hackers from gaining access to the network and taking it over.

Wireless 52

Wireless IoT Development Internet 52

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. Classics of the genre include: Apple's just focused on performance! The Performance Argument. Spurious reports of "10x worse" performance merit intense scepticism. Steve & Tim's Close-up Magic.

Media 145

Media Games Education Engineering 145

The Morning Paper

FEBRUARY 23, 2020

Despite the "Internet of Things" featuring prominently in the title, there’s nothing particular to IoT in the technical solution at all. Contractors can organise into contractor groups to collectively satisfy more stringent performance and fault-tolerance guarantees than any one contractor may be able to do on their own.

Blockchain 94

Blockchain Internet Internet IoT 94

Apica

OCTOBER 29, 2019

With the continued growth of applications being used in and out of an organization, getting a firm grasp on the performance of these devices and its impact on your environment is important. Legacy performance testing platforms have their place and are still required to ensure past investments can be monitored.

Performance Testing 40

Performance Testing Testing Performance Software 40

ScaleOut Software

MAY 19, 2020

It’s called the ScaleOut Digital Twin Streaming Service , and it’s now available for production use. Under the floor, a powerful in-memory data grid with an integrated compute engine transparently ensures fast, predictable performance. The ScaleOut Digital Twin Streaming Service is available now.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

It’s called the ScaleOut Digital Twin Streaming Service , and it’s now available for production use. Under the floor, a powerful in-memory data grid with an integrated compute engine transparently ensures fast, predictable performance. The ScaleOut Digital Twin Streaming Service is available now.

Logistics 52

Logistics IoT Analytics Azure 52

Testsigma

DECEMBER 8, 2019

Hyper Automation, DevTestOps Bringing Automation to the testing of different types of devices and experiences – IoT and Multi Experience Autonomous Test Automation Making Automation more Human-Friendly – Democratization. IoT Test Automation. IoT or Internet of Things is an example of that. Autonomous Test Automation.

IoT 78

IoT Software Software Artificial Intelligence 78

The Netflix TechBlog

AUGUST 30, 2021

For example, when running tests, the state of the device will change from “available for testing” to “in test.” Build a Spring @Configuration class that autowires the KafkaProperties bean injected by the Netflix Spring runtime and, using the Kafka settings available from that bean, construct an Alpakka-Kafka ConsumerSettings bean.

Latency 213

Latency Traffic Transportation Cloud 213

All Things Distributed

NOVEMBER 13, 2018

The AWS Europe (Milan) Region will have three Availability Zones and be ready for customers in early 2020. Currently we have 57 Availability Zones across 19 technology infrastructure Regions. Today, their time-to-market is close to zero. On that day, they had over 80 million pageviews and 18.8 million unique visits.

AWS 167

AWS Energy Automotive Traffic 167

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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

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. It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand.

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. It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

DECEMBER 10, 2019

For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. The problem with this approach is that important insights requiring quick action are not immediately available.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. The problem with this approach is that important insights requiring quick action are not immediately available.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

For these reasons, most streaming applications only perform rudimentary analysis (often in the form of queries) on the incoming data stream and push most of the event messages into a data lake for offline examination. The problem with this approach is that important insights requiring quick action are not immediately available.

Code 52

Code Analytics Healthcare IoT 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

All Things Distributed

MARCH 11, 2015

I have seen our customers do so many radical new things with the analytics tools that our partners and us make available that I have made a few observations I would like to share with you. Peterborough City Council is making public data sets available to outsource innovation to the local community. Cloud analytics are everywhere.

Analytics 135

Analytics Cloud Healthcare Retail 135

KeyCDN

NOVEMBER 22, 2018

This makes for a significant difference in the number of available IP addresses between IPv4 and IPv6. billion addresses available. Within this post they mention that IPv6 was performing better than IPv4 for mobile networks. With IPv6, addresses are 128 bits (16 bytes) long, as opposed to 32 bits.

Internet 49

Internet Internet Google IoT 49

Dynatrace

JUNE 13, 2019

Data analysis within large and highly dynamic microservices environments is the biggest challenge that Application Performance Monitoring (APM) vendors face today. Agents will continue to be the primary and best means of performance-data collection going forward. Dynatrace has now also officially joined the OpenTelemetry project.

IoT 47

IoT C++ Analytics Java 47