csbops.blogg.se - Download kepserverex

#DOWNLOAD KEPSERVEREX HOW TO#
#DOWNLOAD KEPSERVEREX INSTALL#

#DOWNLOAD KEPSERVEREX INSTALL#

You can download and install the current JRE from here. For the Kepware IoT gateway to run, the server requires a working 32-bit JRE.

Install KEPServerEX from the Kepware website on a Windows Amazon EC2 instance.

In this post, we recommend that you install the following software on EC2 instances in the same VPC.

Deploys machine learning models optimized to run on AWS IoT Greengrass using Greengrass ML inference.

Provides secure, over-the-air software updates of user-defined AWS Lambda functions.

Ensures secure connections between devices and the cloud using device authentication and authorization.

Enables local messaging between devices over a secure network by using a managed subscription scheme through the MQTT protocol.

Allows deployment and execution of local applications that are created by using AWS Lambda functions and managed through the deployment API.

The AWS IoT Greengrass Core software provides the following functionality: Most applications don’t need the root CA to verify the server (AWS IoT Greengrass) certificate, but KEPServerEX requires it to verify the certificate chain. This information is helpful if your application needs to connect to AWS IoT Greengrass Core by using the AWS IoT Core certificate chain.

#DOWNLOAD KEPSERVEREX HOW TO#

By the end of the post, you should have enough information to create a secure and reliable process for real-time industrial data so everyone from the shop floor to the top floor can make smarter decisions.įirst, we show you how to connect and configure KEPServerEX with AWS IoT Greengrass Core. In this blog post, we discuss how customers can address the industrial protocol challenges by using KepServerEX at the edge for industrial protocol conversion, AWS IoT Greengrass for edge processing, and AWS IoT for data ingestion into AWS. There might be many different devices on a manufacturing floor, each with its own protocol. When managing Industrial Internet of Things (IIoT) data, it can be challenging to collect and send this data to the cloud for processing and advanced analytics (for example, to predict quality or equipment failure).