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kubemq-bridges
KubeMQ Bridges bridge, replicate, aggregate, and transform messages between KubeMQ clusters no matter where they are, allowing to build a true cloud-native messaging single network running globally.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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New-Item -ItemType Directory 'C:\Program Files\kubemqctl' Invoke-WebRequest https://github.com/kubemq-io/kubemqctl/releases/download/latest/kubemqctl.exe -OutFile 'C:\Program Files\kubemqctl\kubemqctl.exe' \$env:Path += ';C:\Program Files\kubemqctl'
Don’t worry about these pods, as we’ll be creating our own! Next, go ahead and clone the kubemq-bridges repository:
Second, a solution such as KubeMQ is lightweight enough to be deployed to nearly any limited compute edge environment. Traditionally, message queues are large, resource-intensive applications. Consider, for example, the latest version of IBM MQ, which at the time of writing has significant hardware requirements such as > 1.5 GB disk space and 3 GB of RAM. In contrast, KubeMQ can be spun up basically anywhere you can create a Kubernetes cluster. With solutions such as MicroK8s and K3s, you can even run KubeMQ on a Raspberry Pi.
Second, a solution such as KubeMQ is lightweight enough to be deployed to nearly any limited compute edge environment. Traditionally, message queues are large, resource-intensive applications. Consider, for example, the latest version of IBM MQ, which at the time of writing has significant hardware requirements such as > 1.5 GB disk space and 3 GB of RAM. In contrast, KubeMQ can be spun up basically anywhere you can create a Kubernetes cluster. With solutions such as MicroK8s and K3s, you can even run KubeMQ on a Raspberry Pi.