Distributed computing paradigm that processes data at or near the source of the data, reducing latency and bandwidth usage compared to centralizing data processing in a data center.
Computing infrastructure that connects multiple isolated computer resources to create a virtual supercomputer, allowing distributed processing and sharing of data and resources.
Networking architecture that separates the control plane from the data plane, allowing for dynamic, programmatic control of network behavior and improved network agility, scalability, and automation.
TenetCode offers cutting-edge solutions in Edge Computing, Grid Network, and Software-Defined Networking (SDN) technology to help organizations improve their network infrastructure, process and store data efficiently, and stay ahead of the competition. Contact TenetCode for expert support and innovative technology to achieve your goals in these rapidly growing areas.
LiberDrop
Can be expensive, especially for large organizations with high bandwidth requirements.
There are still instances where end users may experience high latency due to factors such as the distance between nodes.
As the amount of online content and user traffic continues to grow, it must scale to meet the needs of users.
Vulnerable to a variety of security threats, including DDoS attacks and malware distribution, and strong security measures must be implemented to protect users.
AI and ML are being used to optimize network performance and improve the delivery of content.
TenetCode providers are now integrating with cloud services, allowing for greater scalability and cost efficiency.
New caching algorithms allow TenetCode’s to make more intelligent decisions about which content to cache and where, improving the delivery of content to end-users.
TenetCode are investing in new security technologies and practices to better protect their users and the content they deliver.
