All Things Distributed

OCTOBER 16, 2019

The answer to this question is actually on your phone, your smartwatch, and billions of other places on earth—it's the Internet of Things (IoT). This is the exciting future for IoT, and it's closer than you think. Already, IoT is delivering deep and precise insights to improve virtually every aspect of our lives.

IoT 120

IoT Healthcare Internet Internet 120

Dynatrace

AUGUST 27, 2020

AWS IoT Analytics. AWS IoT Things Graph. SageMaker removes the heavy lifting from each step of the ML process to make it easier to develop high quality models. AWS Elastic Beanstalk. AWS Elemental MediaPackage. Amazon Neptune. Amazon GameLift. Amazon Inspector. Amazon Polly. Amazon Quantum Ledger Database (QLDB).

AWS 279

AWS Cloud IoT Database 279

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 53

IoT C++ Analytics Java 53

Dynatrace

SEPTEMBER 27, 2024

As batch jobs run without user interactions, failure or delays in processing them can result in disruptions to critical operations, missed deadlines, and an accumulation of unprocessed tasks, significantly impacting overall system efficiency and business outcomes. Individual batch job status with processing times and status Figure 4.

Monitoring 260

Monitoring Performance IoT Analytics 260

Dynatrace

SEPTEMBER 5, 2024

The success of exposure management relies on a well-defined process that includes the following steps: Identifying external-facing assets: This includes everything from websites and web applications to cloud services, APIs, and IoT devices.

Strategy 290

Strategy IoT Infrastructure Best Practices 290

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. It automatically manages all the computing resources those processes require.

Azure 204

Azure Serverless IoT Lambda 204

DZone

JUNE 7, 2023

ERP systems offer standardized processes, enabling developers to accelerate development cycles and align with industry best practices. Streamlining business processes: ERP systems automate repetitive tasks, eliminate manual data entry, and provide workflow management capabilities, leading to streamlined and efficient business processes.

Systems 182

Systems Software Software Development 182

Dynatrace

APRIL 26, 2022

DEM provides an outside-in approach to user monitoring that measures user experience (UX) in real time to ensure applications and services are available, functional, and well-performing across all channels of the digital experience, including web, mobile, and IoT. What DEM and business observability mean for the bottom line.

Monitoring 246

Monitoring Social Media IoT Metrics 246

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 109

Analytics Cloud Healthcare Retail 109

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. 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

As more organizations adopt cloud-native architectures, they are also looking for ways to implement AIOps, harnessing AI as a way to automate more processes throughout the DevSecOps life cycle. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Data Analytics – Specialty: Highly knowledgeable data analytics pros who have already worked with AWS for some time should consider getting this certification. Data analytics. If your company is pursuing AWS certification for a team, AWS Certification Exam Vouchers make the process easier. Machine learning.

AWS 246

AWS Best Practices Cloud Analytics 246

All Things Distributed

NOVEMBER 15, 2016

Previously, I wrote about Amazon QuickSight , a new service targeted at business users that aims to simplify the process of deriving insights from a wide variety of data sources quickly, easily, and at a low cost. Collaboration and sharing of live analytics : Users often want to slice and dice their data and share it in various ways.

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

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. What is a Message Queue?

Ecommerce 130

Ecommerce IoT Games Scalability 130

Dynatrace

JULY 6, 2020

Azure HDInsight is a fully-managed cloud service on Azure that makes it easy to process massive amounts of data in hyper-scale environments. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. Add the new services you’d like to monitor and you’re good to go!

Azure 227

Azure Cloud Big Data Virtualization 227

Dynatrace

NOVEMBER 8, 2021

These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions. APM products form a baseline for these metrics and monitor the applications for any variance from the baseline.”

Artificial Intelligence 246

Artificial Intelligence Monitoring Infrastructure Cloud 246

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. Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

VoltDB

OCTOBER 30, 2024

The process typically includes: Inspection: Regular equipment inspections to identify potential issues. Predictive maintenance: While closely related, predictive maintenance is more advanced, relying on data analytics to predict when a component might fail. It is proactive but doesn’t use advanced data analytics.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. User Experience and Business Analytics ery user journey and maximize business KPIs.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

All Things Distributed

JUNE 21, 2018

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. The data warehouse also persists the processed data directly into Aurora MySQL and Amazon Redshift to support both operational and analytical queries.

Database 167

Database AWS Games Latency 167

Scalegrid

FEBRUARY 11, 2025

By leveraging DBMS, organizations can streamline their data management processes, making handling everything from simple data entry to complex data analysis easier. This flexibility makes NoSQL databases well-suited for applications with dynamic data requirements, such as real-time analytics, content management systems, and IoT applications.

Scalability 147

Scalability Database Storage IoT 147

Dynatrace

NOVEMBER 5, 2023

Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible. The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. 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. The list goes on.

IoT 78

IoT Big Data Analytics Architecture 78

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.

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.

Analytics 52

Analytics IoT Lambda Big Data 52

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 45

IoT Ecommerce Latency Analytics 45

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., However, the process of deriving actionable insights out of this wide variety of data sources is not easy. QuickSight is a fast, cloud native, scalable, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Cloud 114

Cloud Big Data AWS Analytics 114

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. With all of these processes in place, cost optimization is also a high concern for organizations worldwide. IoT Test Automation. Many changes are rendered through automated testing. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

JUNE 7, 2017

This is because data gets more valuable when it can be processed together with other data. At the same time, it can be valuable to process some data right at the source where it is generated. When you can't address scenarios such as these, the value of data you don't process is lost.

AWS 89

AWS IoT Lambda Storage 89

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 Latency Analytics 40

VoltDB

JUNE 26, 2024

Increased efficiency Leveraging advanced technologies like automation, IoT, AI, and edge computing , intelligent manufacturing streamlines production processes and eliminates inefficiencies, leading to a more profitable operation.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. User experience and business analytics. What does APM stand for?

Monitoring 165

Monitoring Mobile Social Media Open Source 165

ScaleOut Software

SEPTEMBER 20, 2018

These are exciting times in the evolution of stream-processing. As we have seen in previous blogs , the digital twin model offers a breakthrough approach to structuring stateful stream-processing applications. It represents a big step forward for building stream-processing applications.

Programming 63

Programming IoT Java Analytics 63

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. This simplifies the installation process and ensures portability across operating systems.

IoT 52

IoT Azure Analytics Healthcare 52

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Information needs to be handled in real-time, not via batch processing. Does this affect our analytics strategy?

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing. Information needs to be handled in real-time, not via batch processing. Does this affect our analytics strategy?

Analytics 40

Analytics Strategy Network Games 40