Traefik: canary deployments with weighted load balancing

Traefik is The Cloud Native Edge Router yet another reverse proxy and load balancer. Omitting all the cloud-native buzzwords, what really makes Traefik different from Nginx, HAProxy, and alike is the automatic and dynamic configurability it provides out of the box. And the most prominent part of it is probably its ability to do automatic service discovery. If you put Traefik in front of Docker, Kubernetes, or even an old-fashioned VM/bare-metal deployment and show it how to fetch the information about the running services, it'll automagically expose them to the outside world. If you follow some conventions of course...

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Service Proxy, Pod, Sidecar, oh my!

How services talk to each other?

Imagine you're developing a service... For certainty, let's call it A. It's going to provide some public HTTP API to its clients. However, to serve requests it needs to call another service. Let's call this upstream service - B.

Service A talks to Service B directly.

Obviously, neither network nor service B is ideal. If service A wants to decrease the impact of the failing upstream requests on its public API success rate, it has to do something about errors. For instance, it could start retrying failed requests.

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Illustrated introduction to Linux iptables

Gee, it's my turn to throw some gloom light on iptables! There are hundreds or even thousands of articles on the topic out there, including introductory ones. I'm not going to put either formal and boring definitions here nor long lists of useful commands. I would rather try to use layman's terms and scribbling as much as possible to give you some insights about the domain before going to all these tables, rules, targets, and policies. By the way, the first time I faced this tool I was pretty much confused by the terminology too!

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