Edge-Gateway

Edge Computing for Industrial Automation Edge computing brings data processing closer to machines on the factory floor. Instead of sending every sensor reading to a distant data center, local gateways and industrial PCs analyze data in real time. This reduces latency, lowers network traffic, and keeps critical control loops fast and predictable. What is edge computing? It means using small but capable devices near the data source to run analytics, run control logic, and make decisions. In industrial settings, you often see PLCs, edge gateways, and rugged servers that work alongside sensors, robots, and CNC machines. ...

Edge Computing: Processing at the Edge for Low Latency Edge computing moves data processing closer to where it is created. Instead of sending every sensor reading to a distant data center, some work runs on local devices, gateways, or nearby servers. This proximity cuts network trips, reduces bandwidth use, and speeds up responses. It also helps when networks are slow or unstable, because essential decisions can happen without waiting for the cloud. In practice, you mix edge and cloud, using each where it fits best. ...

API Gateways and Service Meshes In modern apps, API gateways and service meshes help manage traffic, security, and visibility. An API gateway sits at the edge, handling requests from clients and external systems. A service mesh runs inside the cluster, routing service-to-service calls with lightweight proxies. Together, they provide a robust, secure, and observable network for microservices. What they do API gateways route external requests to the right service, enforce authentication, apply rate limits, and sometimes translate protocols. They can also cache responses and shield internal services from direct exposure. Service meshes manage internal traffic between services. They enable mTLS for mutual authentication, retries, timeouts, and fine-grained traffic routing. They collect metrics, traces, and logs for better observability. How they differ Gateways operate on the north-south edge of the system, focusing on client access and external policy. Service meshes focus on east-west communication inside the cluster, providing security and reliability for internal calls. ...

Edge Computing: Processing at the Network Edge Edge computing moves processing closer to where data is created. Instead of sending every message to a distant data center, small devices, gateways, and local servers handle many tasks on site. This keeps data local when possible and speeds up responses. Benefits are clear. The most visible is lower latency, which means faster feedback for real-time decisions. You also save bandwidth because only useful data travels further. In rough terms, you can filter and summarize at the edge, then send results to the cloud. Privacy and security improve when sensitive data stays near its source. And when cloud links are slow or unreliable, edge processing keeps systems running. ...