transparently insert security visibility + enforcement, but does so in a way that is based on service / pod / container identity (in contrast to IP address identification in traditional systems) and can filter Restarted unmanaged pod kube-system/event-exporter-gke-564fb97f9- rv8hg ♻ Restarted unmanaged pod kube-system/kube-dns-6465f78586-hlcrz ♻ Restarted unmanaged pod kube-system/kube-dns-autoscaler- 7f89fb6b79-fsmsg Restarted unmanaged pod kube-system/l7-default-backend-7fd66b8b88- qqhh5 ♻ Restarted unmanaged pod kube-system/metrics-server-v0.3.6- 7b5cdbcbb8-kjl65 ♻ Restarted unmanaged pod kube-system/stackdr

transparently insert security visibility + enforcement, but does so in a way that is based on service / pod / container identity (in contrast to IP address identification in traditional systems) and can filter paths include with and without service load- balancing and various network policy combinations. The pod name indicates the connectivity variant and the readiness and liveness gate indicates success or failure 65s pod-to-a-79546bc469-rl2qq 1/1 Running 0 66s pod-to-a-allowed-cnp-58b7f7fb8f-lkq7p 1/1 Running 0 66s pod-to-a-de

transparently insert security visibility + enforcement, but does so in a way that is based on service / pod / container identity (in contrast to IP address identification in traditional systems) and can filter paths include with and without service load- balancing and various network policy combinations. The pod name indicates the connectivity variant and the readiness and liveness gate indicates success or failure 67s pod-to-a-allowed-cnp-87b5895c8-bfw4x 1/1 Running 0 68s pod-to-a-b76ddb6b4-2v4kb 1/1 Running 0 68s pod-to-a-denie

transparently insert security visibility + enforcement, but does so in a way that is based on service / pod / container identity (in contrast to IP address identification in traditional systems) and can filter Restarted unmanaged pod kube-system/event-exporter-gke-564fb97f9- rv8hg ♻ Restarted unmanaged pod kube-system/kube-dns-6465f78586-hlcrz ♻ Restarted unmanaged pod kube-system/kube-dns-autoscaler- 7f89fb6b79-fsmsg Restarted unmanaged pod kube-system/l7-default-backend-7fd66b8b88- qqhh5 ♻ Restarted unmanaged pod kube-system/metrics-server-v0.3.6- 7b5cdbcbb8-kjl65 ♻ Restarted unmanaged pod kube-system/stackdr

transparently insert security visibility + enforcement, but does so in a way that is based on service / pod / container identity (in contrast to IP address identification in traditional systems) and can filter paths include with and without service load- balancing and various network policy combinations. The pod name indicates the connectivity variant and the readiness and liveness gate indicates success or failure 4m50s pod-to-a-59b5fcb7f6-gq4hd 1/1 Running 0 4m50s pod-to-a-allowed-cnp-55f885bf8b-5lxzz 1/1 Running 0 4m50s pod-to-a-ext

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. So New in version 2.2. pool support: prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: The autoscaler adds more pool processes when there is work to do, and rules for the autoscaler by subclassing Autoscaler. Some ideas for metrics include load average or the amount of memory available. You can specify a custom autoscaler with the CELERYD_AUTOSCALER setting.

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support: prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: The autoscaler adds more pool processes when there is work to do, and rules for the autoscaler by subclassing Autoscaler. Some ideas for metrics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting. Queues

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support: prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: The autoscaler adds more pool processes when there is work to do, and rules for the autoscaler by subclassing Autoscaler. Some ideas for metrics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting. Queues

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support: prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: The autoscaler adds more pool processes when there is work to do, and rules for the autoscaler by subclassing Autoscaler. Some ideas for metrics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting. Queues

Celery system can consist of multiple workers and brokers, giving way to high availability and horizontal scaling. Celery is written in Python, but the protocol can be implemented in any language. In New in version 2.2. pool support: prefork, gevent The autoscaler component is used to dynamically resize the pool based on load: The autoscaler adds more pool processes when there is work to do, and rules for the autoscaler by subclassing Autoscaler. Some ideas for metrics include load average or the amount of memory available. You can specify a custom autoscaler with the worker_autoscaler setting. Queues