Dynatrace

NOVEMBER 8, 2021

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. The post How to evaluate modern APM solutions appeared first on Dynatrace blog. Insight into business KPIs.

Artificial Intelligence 235

Artificial Intelligence Monitoring Infrastructure Cloud 235

Dynatrace

JULY 6, 2020

All this comes with the Dynatrace zero-configuration approach, automatic service detection, continuous data capture in context, and answers, not just data, from the Dynatrace Davis AI engine, making you ready for large-scale Azure deployments. Gain enhanced visibility into your Azure environment.

Azure 149

Azure Cloud Big Data Virtualization 149

Dynatrace

AUGUST 28, 2020

To summarize the textbook definition, which originates from engineering and control theory, observability is essentially the ability to understand what is happening inside of a system from the knowledge of its external outputs. appeared first on Dynatrace blog. The post What is observability?

IoT 162

IoT Infrastructure Monitoring Innovation 162

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. appeared first on Dynatrace blog. The Amazon Web Services ecosystem. The post What is AWS Lambda?

Lambda 183

Lambda AWS Serverless Hardware 183

Testsigma

APRIL 4, 2022

Mocking Component Behavior Useful in IoT & Embedded Software Testing Can also reduce (or eliminate) actual hardware/component need Test Reporting Generating summary report/email. While you may be able to control some of these attributes, the majority are beyond your control or scope as a test automation engineer. Test Automation !

Testing 95

Testing Open Source IoT Programming 95

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

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. For example, a PLM digital twin of a truck engine might describe the properties of the engine, such as its temperature and oil pressure.

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. For example, a PLM digital twin of a truck engine might describe the properties of the engine, such as its temperature and oil pressure.

Cloud 52

Cloud Development Analytics Azure 52

Tasktop

MAY 28, 2020

We’ve widely distributed Project to Product across engineering. On one hand, there are software-related components, from IoT to SaaS to cloud-native and a large legacy code base, on the other, there is the hardware side of things, all of which must move forward at once. Providing Visibility across Engineering and Operations.

Speed 52

Speed Metrics Transportation Hardware 52

Testsigma

FEBRUARY 12, 2021

The way we now look at software engineering has revolutionized test automation, with QA teams adapting automation to expand test scope, increase efficiency and do more testing in less time. Here in this blog, we will let you know about the five critical signs that indicate that you need to implement test automation in your business.

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

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 138

Azure Serverless IoT Lambda 138

Testsigma

JANUARY 7, 2022

2015 saw the trend of scriptless testing and IoT focussed methodologies. With QAOps we are incorporating the testing process into DevOps and let QA engineers work with developers while the software is in development. IoT automation testing. IoT (Internet of things) devices have been on an increase for a long time now.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

Dynatrace

OCTOBER 11, 2021

The headlining feature of GCP is Google’s Compute Engine , a service for creating and running virtual machines in the Google infrastructure—a direct analog to AWS’ EC2 instances and Azure’s VMs. GCF also has relevance in IoT and file processing tasks. appeared first on Dynatrace blog. Image courtesy of Google.

Google 226

Google Cloud Serverless Azure 226

Dynatrace

DECEMBER 18, 2020

In fact, Dynatrace customers use OpenKit to monitor many digital touchpoints like ATMs, kiosks, and IoT devices. Sales Engineers) usage. Contact your Dynatrace Sales Engineer for a demo or POC of DEM and Business Analytics. OpenKit provides an easy manual alternative to handle any other one-off scenario you might run into.

Analytics 136

Analytics Metrics IoT Monitoring 136

Alex Russell

APRIL 29, 2021

Apple forces developers of competing browsers to use their engine for all browsers on iOS , restricting their ability to deliver a better version of the web platform. They are, pound for pound, some of the best engine developers globally and genuinely want good things for the web. So is speedy resolution and agreement.

Media 145

Media Games Education Engineering 145

Dynatrace

DECEMBER 17, 2019

In that case, we open a Support ticket for you so that our support engineers can provide you with additional assistance. We realize that with this pace of innovation and product enhancements, you’ll probably have a range of questions from infrastructure, IoT monitoring, to “What does this new icon mean?”.

Best Practices 155

Best Practices IoT Innovation Infrastructure 155

Dynatrace

JUNE 1, 2020

With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. Davis, our AI engine, doesn’t need to learn – it already knows and is always there continuously automating, observing, learning and providing answers and prioritize what matters. appeared first on Dynatrace blog. AI-Assistance.

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183

Dynatrace

AUGUST 27, 2020

Each service comes with zero-configuration, automatic instance detection, continuous data capture in context, and what’s most important – thanks to our AI engine Davis – is each service provides answers, not just data. AWS IoT Analytics. AWS IoT Things Graph. AWS Elastic Beanstalk. AWS Elemental MediaPackage. Amazon Neptune.

AWS 272

AWS Cloud IoT Database 272

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. You can also use triggers to power many modern Internet of Things (IoT) use cases.

Database 167

Database Lambda AWS IoT 167

Dynatrace

JUNE 1, 2020

With our AI engine, Davis, at the core Dynatrace provides precise answers in real-time. Davis, our AI engine, doesn’t need to learn – it already knows and is always there continuously automating, observing, learning and providing answers and prioritize what matters. appeared first on Dynatrace blog. AI-Assistance.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. Additionally, Greenplum provides in-database analytics which allows you to run analytics directly in the database vs. exporting and running your data in an external analytics engine.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MAY 17, 2019

The value of Davis, the Dynatrace AI causation engine, is built upon the quality of the data we collect. Microsoft has already introduced Trace Context support in some of their services, including.NET Azure Functions, API Management, and IoT Hub. Dynatrace drives a new set of W3C standards to tackle known limitations.

Azure 149

Azure Open Source Transportation IoT 149

Enprowess

JANUARY 12, 2022

To make it easier for you, in this blog, we will discuss the latest web development trends that will evolve in 2022. Internet of Things (IoT). Technologies like Microsoft Bot framework, Facebook Bot Engine, and DailougeFlow open-source builds these bots. Internet of Things (IoT). How does IoT work? Benefits of IoT.

Blockchain 59

Blockchain IoT Development Serverless 59

ACM Sigarch

DECEMBER 6, 2018

Artists, researchers, and engineers are already starting to harness the power of deep learning based generative models to create content. For many IoT applications involving wireless video sensors (e.g. Visual IOT describes examples of the needs of small scale to large scale visual recognition workloads. He received his Ph.D.

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. The following diagram depicts an IMDG hosting a large set of digital twin objects in an IoT application. These are exciting times in the evolution of stream-processing.

Programming 63

Programming IoT Java Analytics 63

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. This requires an IT department to build a data catalog and make it discoverable with an analytics engine and tools.

Cloud 137

Cloud Big Data AWS Analytics 137

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. The following diagram depicts an IMDG hosting a large set of digital twin objects in an IoT application. These are exciting times in the evolution of stream-processing.

Programming 40

Programming IoT Java Analytics 40

All Things Distributed

JUNE 21, 2018

That learning is at the heart of this blog post—databases are built for a purpose and matching the use case with the database will help you write high-performance, scalable, and more functional applications faster. Typical use cases for a graph database include social networking, recommendation engines, fraud detection, and knowledge graphs.

Database 167

Database AWS Games Latency 167

Dynatrace

JUNE 13, 2019

The Dynatrace platform automatically integrates OpenTelemetry data, thereby providing the highest possible scalability, enterprise manageability, seamless processing of data, and, most importantly the best analytics through Davis (our AI-driven analytics engine), and automation support available. What Dynatrace will contribute.

IoT 47

IoT C++ Analytics Java 47

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

Dynatrace

JUNE 1, 2021

With the Davis® AI engine at its core, Dynatrace provides precise answers to complex questions in real time. Experience and outcomes matter, whether the application is mobile app-to-user, IoT device-to-customers, or a web application behind the scenes. appeared first on Dynatrace blog. Advanced cloud observability.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Smashing Magazine

JULY 6, 2021

With a headless CMS, content is provided to different channels such as web, mobile, social, no-UI smart devices, IoT devices and even non-digital touchpoints such as a bricks-and-mortar shopfront. Content Management APIs have been a blessing where we automated the import of over 2,000 blog posts from a WordPress site to a headless CMS.

Cache 143

Cache Website Mobile Google 143

Enprowess

SEPTEMBER 7, 2021

IoT-based applications. You can translate JavaScript code into machine code with the help of the V8 JavaScript engine of Google. It executes chrome’s V8 engine and manages an event-driven, non-blocking I/O model, which is written in C++. appeared first on EnProwess Blog. Developing API. Advanced single-page apps.

Open Source 52

Open Source Virtualization Programming Servers 52

Testsigma

FEBRUARY 12, 2021

IoT Test Automation. The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. There is a huge expansion and the need for a good IoT research plan. . In 2019, we had previously projected the demand for IoT research at $781.96billion.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

NOVEMBER 15, 2016

They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. It is the underlying engine that allows QuickSight to deliver blazing fast response times on large data sets.

Analytics 152

Analytics Availability Media Social Media 152