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. Data analytics. By carving the right AWS certification path, developers can even use their certification and training to advance their careers long term.

AWS 208

AWS Best Practices Analytics Cloud 208

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 231

Artificial Intelligence Monitoring Infrastructure Cloud 231

ScaleOut Software

AUGUST 18, 2018

In previous blogs , we have explored the power of the digital twin model for stateful stream-processing. 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.,

IoT 40

IoT Ecommerce Analytics Latency 40

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. Dynatrace news.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

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 a comprehensive view of your batch jobs.

Azure 147

Azure Cloud Big Data Virtualization 147

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

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. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ScaleOut Software

SEPTEMBER 20, 2018

As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. Application code handles the management of the event list and the real-time analysis of incoming events, along with APIs for performing device commands.

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. For many IoT applications involving wireless video sensors (e.g. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54

ScaleOut Software

SEPTEMBER 20, 2018

As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. Application code handles the management of the event list and the real-time analysis of incoming events, along with APIs for performing device commands.

Programming 40

Programming IoT Java Analytics 40

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

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 46

IoT C++ Analytics Java 46

Adrian Cockcroft

FEBRUARY 13, 2023

Sustainability at AWS re:Invent 2022 -All the talks and videos I could find… Las Vegas MSG Sphere under construction next door to the Venetian Sands Expo Center — Photo by Adrian This blog post is long overdue — I spent too long trying to find time to watch all the videos, and finally gave up and listed a few below that I haven’t seen.

AWS 64

AWS Energy Architecture Programming 64

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

All Things Distributed

OCTOBER 7, 2015

Most business users continue to struggle answering key business questions such as “Who are my top customers and what are they buying?”, “How is my marketing campaign performing?”, SPICE enables QuickSight to scale to many terabytes of analytical data and deliver response time for most visualization queries in milliseconds.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

JULY 14, 2015

In this blog post, I will explain how these three new capabilities empower you to build applications with distributed systems architecture and create responsive, reliable, and high-performance applications using DynamoDB that work at any scale. DynamoDB Triggers.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JUNE 21, 2018

As I have talked about before, one of the reasons why we built Amazon DynamoDB was that Amazon was pushing the limits of what was a leading commercial database at the time and we were unable to sustain the availability, scalability, and performance needs that our growing Amazon.com business demanded. The opposite is true.

Database 167

Database AWS Games Latency 167

All Things Distributed

NOVEMBER 15, 2016

Most business users continue to struggle to answer key business questions such as, “Who are my top customers and what are they buying?”, “How is my marketing campaign performing?”, Collaboration and sharing of live analytics : Users often want to slice and dice their data and share it in various ways.

Analytics 152

Analytics Availability Media Social Media 152