Magalix

Kubernetes was originally developed by the software and search giant, Google. It was a branch of their Borg project. Since its inception, Kubernetes received a lot of momentum from the open source community. It is the main project of the Cloud Native Computing Foundation. Some of the biggest market players are backing it: Google, AWS, Azure, IBM, and Cisco to name a few. #Kubernetes @{#docker}|topic:null| #Devops #CloudNativeComputing

Folks,

In order for a ReplicaSet to work, it needs to know which pods it will manage? Here is This week's article Kubernetes ReplicaSet 101 What's inside:

• What is Kubernetes ReplicaSet?
• How Does ReplicaSet Manage Pods?
• Scaling and Autoscaling ReplicaSets.
• The ReplicaSet definition file.
• Is Our ReplicaSet the Owner of Those Pods?
• How Can I Remove a Pod From a ReplicaSet? https://www.magalix.com/blog/kubernetes-replicaset-101

#Kubernetes #KubernetesService #GoogleKubernetesEngine @{#DevOps}|topic:null| #Docker

Last year we evaluated multiple tools to help with our Sales and Marketing efforts. we ended up with HubSpot as an all in one solution and we've been impressed so far by the wide array of services that they offer including #CRM, #EmailMarketing and much more. highly recommend for startups and you can get a steep discount if you get accepted at Hubspot for Startups program.

We are hardcore Kubernetes users and contributors. We loved the automation it provides. However, as our team grew and added more clusters and microservices, capacity and resources management becomes a massive pain to us. We started suffering from a lot of outages and unexpected behavior as we promote our code from dev to production environments. Luckily we were working on our AI-powered tools to understand different dependencies, predict usage, and calculate the right resources and configurations that should be applied to our infrastructure and microservices. We dogfooded our agent (http://github.com/magalixcorp/magalix-agent) and were able to stabilize as the #autopilot continuously recovered any miscalculations we made or because of unexpected changes in workloads. We are open sourcing our agent in a few days. Check it out and let us know what you think! We run workloads on Microsoft Azure Google Kubernetes Engine and Amazon EC2 and we're all about Go and Python!