Dynatrace

AUGUST 14, 2023

These touchpoints can include traditional rich client applications, smart IoT applications, and even Alexa skills. These properties reflect the state of the user and apply to all their associated events and event properties. Using application programming interfaces (APIs) to instrument a wider range of digital touchpoints.

Analytics 229

Analytics Social Media Website IoT 229

Dynatrace

JANUARY 26, 2021

Unlike a traditional virtual machine-model where customers must build and manage an entire VM, serverless computing provides the ability to purchase only the CPU cycles and memory needed to support an application using an event-based pay-per-use model. Connecting IoT devices (for example, AWS IoT Device Management ).

Serverless 243

Serverless Efficiency Lambda Azure 243

Adrian Cockcroft

MAY 23, 2022

I keynoted 20 AWS Summits around the world, presented on technical and management topics at many events, and hired the open source community engagement team. I joined Amazon in October 2016, as a VP in AWS Marketing focused on building relationships with customers.

IoT 98

IoT AWS Open Source Design 98

The Netflix TechBlog

AUGUST 30, 2021

In the Device Management Platform, this is achieved by having device updates be event-sourced through the control plane to the cloud so that NTS will always have the most up-to-date information about the devices available for testing. Upstream event sourcing was fully enabled on the producer side at around 2021–07–15 15:00 PST.

Latency 213

Latency Traffic Transportation Hardware 213

Alex Podelko

OCTOBER 3, 2017

A lot of events are scheduled: Performance and Capacity Hackathon (which is $10 / free for the conference attendees), Performance Testing Workshop, CMG Training / Badge Program, and the CMG imPACt 2017 conference itself.

IoT 113

IoT Performance Programming Performance Testing 113

Dynatrace

OCTOBER 11, 2021

The Cloud Functions platform enables teams to craft functional, extensible applications that run code when triggered by preset conditions or events. GCF also has relevance in IoT and file processing tasks. If increased activity incurs more requests, GCF creates a new instance for each new request. Image courtesy of Google.

Google 221

Google Cloud Serverless Azure 221

Percona Community

JULY 24, 2020

Hello, my name is Andrey Sergeyev and I work as a Head of IoT Solution Development at Mail.ru Especially when the task is to build an IoT platform that would be capable of processing millions of events from various sensors in near real-time. IoT Platform started as a Tarantool-based prototype. Cloud Solutions.

IoT 52

IoT Database Cloud Processing 52

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

SEPTEMBER 30, 2022

Business processes and events may be written to system logs or tracked and stored by an ERP solution, exposed via an application programming interface (API). Imagine asking a highly specialized IoT architect to interpret why sales have suddenly slumped in Florida.). Break down IT and business silos. The a bility to measure outcomes.

Analytics 174

Analytics Best Practices Metrics IoT 174

Dynatrace

APRIL 5, 2021

AWS Lambda is a serverless compute service that can run code in response to predetermined events or conditions and automatically manage all the computing resources required for those processes. Many events can trigger a lambda function. What is AWS Lambda? The Amazon Web Services ecosystem. A new record entering a database table.

Lambda 180

Lambda AWS Serverless Hardware 180

All Things Distributed

JUNE 10, 2016

The Real-time File Processing reference architecture is a general-purpose, event-driven, parallel data processing architecture that uses AWS Lambda. This simple architecture is described in the "Fanout S3 Event Notifications to Multiple Endpoints" blog post on the AWS Compute Blog. IoT Backend Serverless Reference Architecture.

Lambda 107

Lambda Serverless AWS Architecture 107

All Things Distributed

MAY 10, 2016

The Real-time File Processing reference architecture is a general-purpose, event-driven, parallel data processing architecture that uses AWS Lambda. This simple architecture is described in the "Fanout S3 Event Notifications to Multiple Endpoints" blog post on the AWS Compute Blog. IoT Backend Serverless Reference Architecture.

Lambda 105

Lambda Serverless AWS Architecture 105

Adrian Cockcroft

NOVEMBER 30, 2020

This includes physical asset risk from things like sea level rise and extreme weather events, as well as market changes from customers deciding to buy more sustainable products, and economic risk as the world economy is impacted by climate change. AWS at the edge: Using AWS IoT to optimize Amazon wind farms AES22 ?—?Climate

AWS 52

AWS Artificial Intelligence IoT Energy 52

Dynatrace

JUNE 1, 2020

Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes. User Experience and Business Analytics ery user journey and maximize business KPIs. That’s why we extended the Dynatrace platform to the edge device and API.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

Adrian Cockcroft

NOVEMBER 30, 2020

This includes physical asset risk from things like sea level rise and extreme weather events, as well as market changes from customers deciding to buy more sustainable products, and economic risk as the world economy is impacted by climate change. charity: water and Twisthink keep water flowing with AWS IoT ZBF206 ?—?Automating

AWS 52

AWS IoT Open Source Government 52

Dynatrace

OCTOBER 1, 2021

Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. Metrics: These are the values represented as counts or measures that are often calculated or aggregated over a period of time.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

SEPTEMBER 30, 2021

Recently, 53 Dynatracers convened in a Zoom room for 5 action-packed hours to take on our first AWS GameDay challenge, an event we participated in to help our developers accelerate their AWS certification path. Dynatrace news. Machine learning. Read any Amazon whitepapers that are relevant to the cert you seek.

AWS 209

AWS Best Practices Analytics Cloud 209

Dynatrace

JUNE 1, 2020

Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes. User Experience and Business Analytics ery user journey and maximize business KPIs. That’s why we extended the Dynatrace platform to the edge device and API.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

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

Dynatrace

MAY 17, 2019

It allows for the finding of cause-effect relationships between events, for instance, identifying which user action in a browser caused a failure in the business logic layer. Microsoft has already introduced Trace Context support in some of their services, including.NET Azure Functions, API Management, and IoT Hub.

Azure 148

Azure Open Source Transportation IoT 148

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

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

ScaleOut Software

MAY 19, 2020

A second and equally daunting challenge for live systems is to maintain real-time situational awareness about the state of all data sources so that strategic responses can be implemented, especially when a rapid sequence of events is unfolding.

Logistics 52

Logistics IoT Analytics Azure 52

All Things Distributed

SEPTEMBER 29, 2016

In the past we have had Benito Diz, ‎CIO Veolia Water France speak at our events where he has talked about how they have been able to achieve important cost reductions while improving security and agility by moving to AWS. We couldn’t have launched this industrial IoT project without the AWS flexibility.”.

AWS 166

AWS IoT Internet Internet 166

Dynatrace

AUGUST 28, 2020

Logs – Structured or unstructured text that record discreet events that occurred at a specific time. Data silos – Multiple agents, disparate data sources, and siloed monitoring tools make it hard to understand interdependencies across applications, multiple clouds, and digital channels such as web, mobile, and IoT.

IoT 161

IoT Infrastructure Monitoring Innovation 161

Scalegrid

MAY 13, 2020

For example, a Telecom company is using Greenplum database AI capabilities for their IoT operational reporting system smart sensors to analyze and execute events used for maintenance, security, and operational efficiencies. So who’s using Greenplum today?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

All Things Distributed

SEPTEMBER 8, 2015

The AWS Pop-up Loft, in London will be open from September 10 to October 29 between 10am and 6pm and later for evening events, Monday through Friday, in Moorgate. The London Loft will also feature an IoT Lab with a range of devices running on AWS services, many of which have been developed by our Solutions Architects.

AWS 107

AWS IoT Innovation Architecture 107

Adrian Cockcroft

AUGUST 9, 2022

After several years of studying tech trends and working with several clients in each area, OrionX has developed relatively deep expertise in IoT, AI, Cybersecurity, Cryptocurrencies, and Quantum technologies. The group has focused on quality at the expense of size and that has led to an excellent reputation.

IoT 52

IoT Best Practices AWS Media 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

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

DECEMBER 10, 2019

Event streams typically combine messages from many data sources, as shown below. 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.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

DECEMBER 10, 2019

Event streams typically combine messages from many data sources, as shown below. 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.

Code 52

Code Analytics Healthcare IoT 52

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

MAY 4, 2018

Traditional stream-processing and complex event processing systems, such as Apache Storm and Software AG’s Apama , have focused on extracting interesting patterns from incoming data with stateless applications. Michigan) in 2002 for use in product life cycle management, it was recently popularized for IoT by Gartner in a 2017 report.

Processing 40

Processing IoT Programming Software Engineering 40

ScaleOut Software

DECEMBER 10, 2019

Event streams typically combine messages from many data sources, as shown below. 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.

Code 52

Code Analytics Healthcare IoT 52