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In this second article, I suggest to explore further two simple helm chart for getting a bit more inside K8s.
Grafana
Loki is a horizontally-scalable, highly-available, multi-tenant log aggregation system inspired by Prometheus. It is designed to be very cost effective and easy to operate. It does not index the contents of the logs, but rather a set of labels for each log stream.
To install Grafana+Loki follow the instruction depicted here: the install will teach you how to use helm charts dependency too, so please take time to download the loki chart and study itThe Loki project was started at Grafana Labs in 2018, and announced at KubeCon Seattle. Loki is released under the AGPLv3 license
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K8s is a very complex beast. But it give you a very good set of security defaults, and it is also a very well done implementation of a microservice application.
After installing Docker Swarm on some Customer, we are giving up on Swarm because the Enterprise version was acquired by Mirantis and now is marketed like “K8s” engine, so Swarm seems K8s right now.
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In Microservices architecture, you decompose your services in a set of fine-grained services. These services are full-stack software, from front end API down to database layer.
Each microservice is responsible and owns its data.
For instance if you have a MovieInventory service and a CheckIn/Checkout services, they must communicate each other via API.
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Amazon Elastic Container services (ECS) is the Amazon Solution for running docker containers on Amazon.
ECS is not a docker swarm implementation. I am writing this article to stress this, because this point is not very clear digging in the tutorials (it is explained a bit in the question “What is the difference between Docker Swarm, Kubernetes, and Amazon ECS” but then the tuytorials mix the things up too much).
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https://github.com/daitangio/misterioMisterio is a docker-compose based Ansible alternative.
Why
I need to show Ansible and Saltstack configuration manager are nice tools but in a K8s world, the same result can be achieved in a much simpler way.It was to teach the container way to some co-worker.Without effort, I end up with a tool I am using on my home machines, which include a bunch of very different architecture (Ubuntu Boxes, ARMs RPi2, Windooze).So I think it would be nice show Misterio to the world...and yes there is a bit of magic, called containers. -
Use docker in docker to drive docker from a container Working under windows, sometimes docker slow down. Sometimes you need to access to the MobyVM. With this line:
docker run --rm -ti -v "/var/run/docker.sock:/var/run/docker.sock" -v /:/host docker sh
you run a container which will removed upon exit. This container can access to docker daemon (via the docker in docker image) and has also access to MobyVM under the /host mount point. Keep in mind this container has total access to your windows C: disk too, so be careful! Find the total memory % used by your containers:
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Abbiamo provato Prometheus in congiunzione con Grafana.
Prometheus è un tool di monitoraggio e alerting, scritto in Go e caratterizzato da un database orientato all’archiviazione in time series.
Entrambi sono molto curati, open source e caratterizzati da una offerta commerciale per chi ha bisogno di un supporto a pagamento.
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We just finished implementing a dev ops deploy toolchain able to compile,deploy, rollback all in automatic way.
The objection of the dev team is “it is slow to deploy”.Yes, it is slower then manual copying file.
- But it is AUTOMATIC
- It provide a rollback procedure.
- It is rock solid.
- It works alone, at midnight. Mind it. It work alone.
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The department of defense, has published a nice document to “detect” agile bullshit. The document is called DIB_DETECTING_AGILE_BS_2018.10.05 and was published on October 2018.
We saved a copy on our site, because we think it is very very interesting…
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Sometimes your windows' HyperV Hypervisor will refuse to start.
The problem is tricky because the services seems started if you check them. Also the installation is successful, virtualization is enabled and so on. So what is wrong?
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Cloud, DevOps, and Microservices are three strong forces are melting together.
Containers is the key technology around them. Before docker, horizontal scaling via VM spinning was feasible but a slow speed, compared to the speed of a docker container boot.
So do you want to learn docker without going out of business? Let’s go!
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Docker is a tool that can package an application and its dependencies in a virtual container that can run on any Linux server. This helps enable flexibility and portability on where the application can run, whether on premises, public cloud, private cloud, bare metal, etc.
Docker e la “containerizzazione” sono l’evoluzione di due tecnologie molto “antiche”:
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