DZone

FEBRUARY 2, 2024

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT 204

IoT Artificial Intelligence Latency Internet 204

Dynatrace

MARCH 5, 2025

The newly introduced step-by-step guidance streamlines the process, while quick data flow validation accelerates the onboarding experience even for power users. Step-by-step setup The log ingestion wizard guides you through the prerequisites and provides ready-to-use command examples to start the installation process. Figure 5.

Open Source 211

Open Source IoT Cloud Azure 211

DZone

JUNE 6, 2023

When building an IoT-based service, we need to implement a messaging mechanism that transmits data collected by the IoT devices to a hub or a server. When dealing with IoT, one of the first things that come to mind is the limited processing, networking, and storage capabilities these devices operate with.

IoT 305

IoT Tuning Storage Network 305

VoltDB

NOVEMBER 20, 2024

Edge computing involves processing data locally, near the source of data generation, rather than relying on centralized cloud servers. By 2025, more manufacturers will use edge computing to power IIoT devices, allowing them to process data, analyze trends, and respond to anomalies instantaneously.

IoT 52

IoT Energy Latency Automotive 52

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

Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is Apache Kafka?

Latency 147

Latency Analytics Architecture Storage 147

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). Amazon Lex.

AWS 279

AWS Cloud IoT Database 279

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics. Ask yourself, how much data should Fluent Bit process? What is Fluent Bit?

Best Practices 279

Best Practices IoT Metrics Storage 279

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

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

DZone

JUNE 11, 2024

Network onboarding — the process through which new devices gain access to an organization's network— is a cornerstone of IT operations, affecting everything from security to user satisfaction. Traditionally, this process has been fraught with challenges, particularly at scale.

Network 162

Network IoT Processing 162

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

JANUARY 26, 2021

REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process. Connecting IoT devices (for example, AWS IoT Device Management ). The average request is handled, processed, and returned quickly. Services scale to meet demand.

Serverless 246

Serverless Efficiency Lambda AWS 246

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

VoltDB

DECEMBER 11, 2024

Edge computing has transformed how businesses and industries process and manage data. Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed. As data streams grow in complexity, processing efficiency can decline.

IoT 52

IoT Energy Logistics Latency 52

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

DZone

DECEMBER 18, 2023

As distributed systems play a critical role in various domains such as cloud computing , Internet of Things ( IoT ), and data centers, optimizing energy consumption has significant implications for reducing operational costs and mitigating the environmental impact.

Energy 182

Energy Efficiency Systems IoT 182

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

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

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. Real-time file processing, for quickly indexing files, processing logs, and validating content. The Amazon Web Services ecosystem.

Lambda 258

Lambda AWS Serverless Hardware 258

Dynatrace

OCTOBER 11, 2021

The platform automatically manages all the computing resources required in those processes, freeing up DevOps teams to focus on developing and delivering features and functions. Cloud Functions are ideal for creating backends, making integrations, completing processing tasks, and performing analysis. Image courtesy of Google.

Google 246

Google Cloud Serverless Azure 246

DZone

FEBRUARY 7, 2023

Problem Context Consider a scenario where incoming data triggers a sequence of processing steps, where each step brings data closer to the desired output state. Examples of data sources could be home IoT devices, a video feed from roadside cameras, or continuous inventory updates from warehouses.

IoT 145

IoT Strategy Scalability Processing 145

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

Scalegrid

JUNE 7, 2024

RabbitMQ is an open-source message broker that simplifies inter-service communication by ensuring messages are effectively queued, delivered, and processed across diverse applications. RabbitMQ allows web applications to create and place messages in a message queue for further processing.

IoT 130

IoT Software Architecture Architecture Scalability 130

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. Websites, mobile apps, and business applications are typical use cases for monitoring.

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

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. We’re in a process of adding support for new cloud services in bulk.

Azure 227

Azure Cloud Big Data Virtualization 227

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

DZone

AUGUST 18, 2023

Edge data platforms are software solutions that enable businesses to collect, process, and analyze data at the edge of the network. By processing data at the edge of the network, latency can be minimized, which means that data can be processed and analyzed faster.

IoT 130

IoT Media Latency Storage 130

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 154

AWS Cloud Artificial Intelligence IoT 154

Dynatrace

AUGUST 28, 2020

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 237

IoT Infrastructure Monitoring Innovation 237

Scalegrid

JUNE 28, 2024

It is widely utilized across various industries, such as finance, telecommunications, and e-commerce, for managing activities, including transaction processing, data streaming, and instantaneous messaging. RabbitMQ’s versatile use cases range from web application backend services and distributed systems to PDF processing.

IoT 130

IoT Healthcare Programming Open Source 130

VoltDB

OCTOBER 30, 2024

The process typically includes: Inspection: Regular equipment inspections to identify potential issues. Industrial IoT (IIoT): Sensors and devices provide real-time data, enabling condition-based maintenance and improving insights. How Does Preventative Maintenance Work?

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

Dynatrace

MAY 27, 2021

IoT – Data processing on edge locations. It keeps application processing closer to the data to maintain higher bandwidth and lower latencies, adheres to compliance regulations that don’t yet approve cloud managed services, and allows data center capital investments to be fully amortized before moving to the cloud.

AWS 162

AWS IoT Virtualization Cloud 162

SQL Server According to Bob

MAY 19, 2019

With the announcement I can tell you more about one of the things we have been working on; SQL Server running on IoT Edge and Developer machines in under 500MB of memory. The effort goes beyond IoT Edge devices and extends to the common developer experience. SQL Server can elect to use a parallel query to process the request.

IoT 61

IoT Servers Development Cache 61

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

Dynatrace

SEPTEMBER 30, 2021

You will learn how to use AWS services ranging from collection (for example, Amazon Kinesis and AWS IoT Core) to storage (for example, S3 + Glacier and DynamoDB) to processing (for example, AWS Lambda and Amazon ML) and beyond. Machine learning. The post Carving an AWS certification path appeared first on Dynatrace blog.

AWS 246

AWS Best Practices Cloud Analytics 246