Dynatrace

OCTOBER 1, 2021

Business analytics : Organizations can combine business context with full stack application analytics and performance to understand real-time business impact, improve conversion optimization, ensure that software releases meet expected business goals, and confirm that the organization is adhering to internal and external SLAs.

Metrics 363

Metrics Open Source Monitoring Cloud 363

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.

IoT 130

IoT Ecommerce Games Scalability 130

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy.

Azure 227

Azure Cloud Big Data Virtualization 227

Dynatrace

NOVEMBER 5, 2023

Read on to learn more about how Dynatrace delivers AI transformation to accelerate modern cloud strategies. 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 Strategy 130

Scalegrid

FEBRUARY 11, 2025

This flexibility makes NoSQL databases well-suited for applications with dynamic data requirements, such as real-time analytics, content management systems, and IoT applications. This strategy allows you to harness their distinct advantages, streamlining your data management processes and enhancing overall efficiency.

Scalability 147

Scalability Database Storage IoT 147

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. Does this affect our analytics strategy? There is no substitute for real-time analytics and action. The answer: Absolutely!

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. Does this affect our analytics strategy? There is no substitute for real-time analytics and action. The answer: Absolutely!

Analytics 40

Analytics Strategy Network Games 40

All Things Distributed

OCTOBER 7, 2015

To scale to a larger number of users and support the growth in data volume spurred by social media, web, mobile, IoT, ad-tech, and ecommerce workloads, these tools require customers to invest in even more infrastructure to maintain a reasonable query performance.

Cloud 113

Cloud Big Data AWS Analytics 113

Dynatrace

JUNE 1, 2021

Application performance monitoring focuses on specific metrics and measurements; application performance management is the wider discipline of developing and managing an application performance strategy. User experience and business analytics. All these terms refer to related technology and practices. Why businesses need APM.

Monitoring 165

Monitoring Mobile Social Media Infrastructure 165

VoltDB

SEPTEMBER 26, 2024

Preventive maintenance is a strategy aimed at anticipating equipment failures before they occur, enabling timely interventions that can prevent unplanned downtimes and extend the lifespan of machinery. Performance optimization : Beyond just predicting failures, video analytics can also help optimize equipment performance.

IoT 52

IoT Analytics Strategy Efficiency 52

VoltDB

SEPTEMBER 26, 2024

Predictive maintenance is a strategy aimed at anticipating equipment failures before they occur, enabling timely interventions that can prevent unplanned downtimes and extend the lifespan of machinery. Performance optimization : Beyond just predicting failures, video analytics can also help optimize equipment performance.

IoT 52

IoT Analytics Strategy Efficiency 52

All Things Distributed

MAY 3, 2017

Manufacturing can be fully digitalized to become part of a connected "Internet of Things" (IoT), controlled via the cloud. And control is not the only change: IoT creates many new data streams that, through cloud analytics, provide companies with much deeper insight into their operations and customer engagement.

Logistics 66

Logistics IoT Analytics Innovation 66

VoltDB

SEPTEMBER 10, 2024

Industrial IoT (IIoT) really means making industrial devices work together so they can communicate better for the sake of ultimately improving data analytics, efficiency, and productivity. But in IIoT, as in other industries, data silos are a huge issue. If your data lives in silos, you’re not making the most of it.

IoT 52

IoT Architecture Scalability Analytics 52

Tech News Gather

JULY 17, 2023

Businesses can be the first to serve untapped markets rather than depending on tried-and-true but low-return customer acquisition strategies. P2P lending apps use algorithms and data analytics to evaluate interest rates and the creditworthiness of borrowers.

FinTech 40

FinTech Development IoT Mobile 40

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Any organisation pursuing microservices strategy will find hard to fit a traditional CMS in their ecosystem. At the core, a traditional CMS is a monolith.

Systems 63

Systems Cache Website Network 63

VoltDB

OCTOBER 17, 2024

Indeed, real-time decisioning has become a critical capability for automotive manufacturers looking to stay competitive in the age of AI and IoT. Industrial Internet of Things (IoT) Industrial IoT devices collect data from various sources, such as machinery, production lines, and supply chain components.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52

VoltDB

JUNE 21, 2024

AI is really the next generation of data analytics — a fancy new (although not really, more on that in a second) way to crunch data, ideally in true real-time fashion. But a lot of it is real-world stuff about to explode on the real-world stage. But companies are struggling to make the most of — ie, monetize — their AI/ML data.

Speed 52

Speed Engineering Media Java 52

Adrian Cockcroft

NOVEMBER 18, 2024

Also learn how AWS customer Generation Park, a McCord Development project, is leveraging the Garnet Framework and AWS Partners to build an IoT water monitoring solution to reduce water wastage and set a foundation for future smart city projects.

AWS 98

AWS Energy Lambda Government 98