Edge Computing Topics

Learn how APIs allow applications to securely communicate and exchange information with each other.

Complex event processing (CEP) analyzes data from multiple data sources/events in real-time to look for insights and patterns.

A CDN is a distributed network of servers and storage devices that replicates content or services on a large number of different locations across the world.

Macrometa ensures well-managed streaming database flow and transmission to help businesses develop & generate business analytics instantly and accurately.

Learn how edge computing is different from cloud computing how it overcomes challenges in areas such as data quality, latency, security, and scalability.

Edge security covers the unique security needs and vulnerabilities for decentralized networks and edge devices.

Learn how edge computing platforms support IoT edge computing devices and understand latency, security implications by following an implementation example.

Machine learning is a branch of AI (Artificial Intelligence) that focuses on training and developing computing models to predict and make better decisions.

Learn about the different data models and common use cases supported by multi-model databases.

A network consists of multiple interconnected entities which can communicate with each other.

Serverless computing is an architecture model where machine resources are managed by an auto-scalable cloud service offered as a pay-as-you-go model.

Learn more about how data is collected, transformed, and analyzed through stream processing.

Data orchestration is the process of managing and automating the flow of data between different systems, applications, and databases.

In this article, we will explore the basics of search technology and its importance in our digital world.

A hyper distributed cloud like Macrometa is essential for telecom providers in today's competitive landscape.

A hyper distributed cloud platform helps financial services provide low-latency digital banking and fraud detection, and a personalized omnichannel experience.

In this article, we'll explore why gaming and eSports companies need a hyper distributed cloud platform to meet their unique needs.

A hyper distributed cloud platform can help hospitality and travel companies provide real-time personalization, data synchronization, and data protection.

Logistics companies need a hyper distributed platform to provide real-time data synchronization, a control tower view, and support for future technologies.

Explore the benefits of using a hyper distributed cloud platform for manufacturing companies.

explore the changing technical needs of the media and entertainment industry and why hyper distributed cloud platforms are critical for success.

A hyper-distributed cloud like Macrometa's solution can help OTT Video Streaming Services deliver high-quality, personalized content and ads to viewers.

In this article, we will explore why eCommerce needs a hyper distributed cloud and the benefits it can provide.