Managing storage for implementing stateful set solutions is a distinct problem from managing compute instances.

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A Kubernetes service is a logical abstraction for a group of pods in a cluster (all performing the same function).

Kubernetes’ success is due in no small part to its flexibility and power as a container orchestration system. It can scale virtually indefinitely, providing the backbone for many of the world’s most popular online services. And as a proven open-source solution with a rich ecosystem, it’s easily accessible and simple to set up, whether for personal learning, development, or testing.

When it comes to deploying Kubernetes in production, however, things get a bit more complex. There are numerous aspects you need to consider that cover the full spectrum of critical success factors for an online application, including stability, security, and how you manage and monitor your application once it’s up and running. If you get any of these points wrong, it can be costly.

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A Kubernetes service is a logical abstraction for a group of pods in a cluster (all performing the same function).

Since pods are ephemeral, a service enables a group of pods that provide certain functions (web services, image processing, etc.) to be assigned a name and a unique IP address (clusterIP). As long as the service uses this IP address, it does not change. Services also define policies for their access.

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How to run your pods without turning gray

In development stages when we debug our Kubernetes deployments or playing with Helm charts we may get stuck with some strange errors. 

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by Mikes Photos from Pexels

Blockchain has become the enfant terrible of the tech world. As any conceptually new tech it poses more questions than it provides answers. But the buzz around it is more than justified. Beside the crypto-gold rush that’s definitely been the main hype-driver, this is a technology that provides a promise of a different, decentralized future. A promise of distributed, global trust based on science and technology — not on military force, geographical proximity or national identity. It remains to be proven if such trust is possible, but if it is — world economy is up for a total paradigm shift.

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Hi! I’m Ilya Sher. This guest post will describe the deploy process at Utab, one of my clients. Background – system architecture summary Utab uses the services architecture. Some services are written in Java, others in NodeJS. Each server has either one Java application or one NodeJS application. The production environment uses (with the exception of load balancing configuration) the immutable server approach. Requirements for the deploy process The client specified the following requirements: Support for staging and production environments Manually triggered deploy for each of the environments Health check before adding a server to load balancing in production environment Option to easily and quickly rollback to previous version in production environment Simple custom tools are to be used ( no Chef/Puppet/… )   Solution background The Utab’s deploy and other scripts were made specifically for the client. Such custom scripts are usually simpler than any ready-made solution. It means they…

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