Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

VoltDB

NOVEMBER 20, 2024

The Need for Real-Time Analytics and Automation With increasing complexity in manufacturing operations, real-time decision-making is essential. This shift will enable more autonomous and dynamic systems, reducing human intervention and enhancing efficiency.

IoT 52

IoT Energy Latency Automotive 52

DZone

JUNE 6, 2023

This can include the use of cloud computing, artificial intelligence, big data analytics, the Internet of Things (IoT), and other digital tools. One of the significant challenges that come with digital transformation is ensuring that software systems remain reliable and secure. This is where software testing comes in.

Artificial Intelligence 130

Artificial Intelligence Systems IoT Testing 130

Dynatrace

AUGUST 27, 2020

AWS IoT Analytics. AWS IoT Things Graph. AWS Systems Manager Run Command. AWS Elastic Beanstalk. AWS Elemental MediaPackage. Amazon Neptune. Amazon GameLift. Amazon Inspector. Amazon Polly. Amazon Quantum Ledger Database (QLDB). Amazon Lex. Amazon Rekognition. AWS RoboMaker. Amazon Machine Learning. Amazon Route 53.

AWS 279

AWS Cloud IoT Database 279

Dynatrace

SEPTEMBER 5, 2024

Highly distributed multicloud systems and an ever-changing threat landscape facilitate potential vulnerabilities going undetected, putting organizations at risk. Vulnerability management vs. exposure management Vulnerability management focuses on finding and fixing security weaknesses within an organization’s systems.

Strategy 290

Strategy IoT Infrastructure Best Practices 290

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. The urgency of monitoring these batch jobs can’t be overstated.

Monitoring 260

Monitoring Performance IoT Analytics 260

DZone

JANUARY 13, 2023

However, in recent years there has been an exponential increase in the amount of data that connected systems produce, which has brought about a need for new ways to store and analyze such information.

IoT 178

IoT Analytics Database Metrics 178

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. Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring 246

Monitoring Social Media IoT Metrics 246

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 204

Azure Serverless IoT Lambda 204

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. How do you make a system observable? Dynatrace news. But what is observability? Why is it important, and what can it actually help organizations achieve?

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

FEBRUARY 26, 2024

Digital transformation – which is necessary for organizations to stay competitive – and the adoption of machine learning, artificial intelligence, IoT, and cloud is completely changing the way organizations work. In fact, it’s only getting faster and more complicated.

Artificial Intelligence 246

Artificial Intelligence IoT Programming Innovation 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

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Elastic File System (EFS). Amazon Kinesis Data Analytics. Choose any service, for example, the Elastic File System (EFS) service, to view the list of configured metrics.

AWS 200

AWS Metrics IoT Storage 200

DZone

MAY 19, 2023

Examples of logs include business logs (such as user activity logs) and Operation and Maintenance logs of servers, databases, and network or IoT devices. On the one hand, they provide system risk alerts and help engineers quickly locate root causes in troubleshooting. Logs are the guardian angel of business.

IoT 130

IoT Analytics Network Database 130

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. User Experience and Business Analytics ery user journey and maximize business KPIs.

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Elastic File System (EFS). Amazon Kinesis Data Analytics. Choose any service, for example, the Elastic File System (EFS) service, to view the list of configured metrics.

AWS 182

AWS Metrics IoT Storage 182

Dynatrace

SEPTEMBER 30, 2021

AWS Certified SysOps Administrator – Associate: Do you already deploy, manage, and operate AWS system resources and want to learn how to perform those duties even more effectively? Data analytics. Then this one’s for you. The top AWS certification options. So, what are the best AWS certifications? Machine learning.

AWS 246

AWS Best Practices Cloud Analytics 246

Scalegrid

AUGUST 27, 2024

This article expands on the most commonly used RabbitMQ use cases, from microservices to real-time notifications and IoT. Learn how RabbitMQ can boost your system’s efficiency and reliability in these practical scenarios. This non-blocking nature improves the system’s responsiveness and efficiency.

IoT 130

IoT Ecommerce Games Scalability 130

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

Dynatrace

NOVEMBER 8, 2021

Organizations use APM to ensure system availability, optimize service performance and response times, and improve user experiences. 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.

Artificial Intelligence 246

Artificial Intelligence Monitoring Infrastructure Cloud 246

VoltDB

OCTOBER 30, 2024

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. Predictive maintenance uses data analytics and AI to predict when equipment will need maintenance.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

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. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. User Experience and Business Analytics ery user journey and maximize business KPIs.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

Scalegrid

FEBRUARY 11, 2025

Key Takeaways MySQL is a relational database management system ideal for structured data and complex relationships, ensuring data integrity and reliability. Data modeling is a critical skill for developers to manage and analyze data within these database systems effectively.

Scalability 147

Scalability Database Storage IoT 147

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 Streams simplifies and improves this design pattern with a distributed systems approach.

Database 158

Database Lambda AWS IoT 158

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

All Things Distributed

JUNE 7, 2017

Local messaging between functions and peripherals on the device that hosts AWS Greengrass core, and also between the core and other local devices that use the AWS IoT Device SDK. AWS Greengrass uses the same certificate-based mutual authentication that AWS IoT uses.

AWS 89

AWS IoT Lambda Storage 89

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Even a conflict with the operating system or the specific device being used to access the app can degrade an application’s performance. User experience and business analytics.

Monitoring 165

Monitoring Mobile Social Media Open Source 165

VoltDB

JUNE 26, 2024

To this end, more and more manufacturers are investing in intelligent manufacturing technology that enables them to create highly adaptive, efficient, and responsive production systems that enhance output and improve product quality while minimizing waste. billion by 2030, an uptick from $310.92

IoT 52

IoT Analytics Artificial Intelligence Energy 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 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. Telco networks and the systems that support those networks are some of the most advanced technology solutions in existence. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing.

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

Historically, telco analytics have been limited and difficult. Telco networks and the systems that support those networks are some of the most advanced technology solutions in existence. Analytics and insights have always taken a back seat to the first two priorities – accurate data processing and billing.

Analytics 40

Analytics Strategy Network Games 40

VoltDB

SEPTEMBER 26, 2024

The Importance of Video Ingestion and Video Analytics for Preventive Maintenance Video ingestion and analytics play a crucial role in preventive maintenance by leveraging visual data to anticipate equipment failures and optimize maintenance schedules. This footage is then transmitted to a centralized system for analysis.

IoT 52

IoT Analytics Strategy Efficiency 52

VoltDB

SEPTEMBER 26, 2024

The Importance of Video Ingestion and Video Analytics for Predictive Maintenance Video ingestion and analytics play a crucial role in predictive maintenance by leveraging visual data to anticipate equipment failures and optimize maintenance schedules. This footage is then transmitted to a centralized system for analysis.

IoT 52

IoT Analytics Strategy Efficiency 52