Make it happen
Silicon Valley startups in mid-2000s likely do not run their own IT operations (i.e. renting their own data centre spaces, purchasing their own rack-mounted servers). Since the launch of EC2, AWS has been renting extra computing capacity to those startups, in the IaaS model. The leased infrastructure requires maintenance work, and AWS realized that many … Read moreComputing services: from PaaS to Serverless
Even though Azure Kubernetes Service (AKS) is a managed service, building a cluster is not trivial. For help resources, I would start with the webinar “Configure Your AKS cluster with Confidence” from April 2021, which focuses on a set of working best practices (convention over configuration) but obviously not every recommendation suits every use case. … Read moreAKS Lessons Learned 2 of 2
In general, troubleshooting Kubernetes is tricky. That is because one has to get in and out of pods. I took two days to troubleshoot some networking issues with private AKS cluster. For the amount of of tricks I had to employ, I need to take some notes. The issue After writing the Terraform code, I … Read moreAKS Lessons Learned 1 of 2
In a previous post, I introduced Terraform Cloud and covered how to use AWS profiles with Terraform. This time I explored some alternatives to Terraform Cloud, in the context of Azure. I use Scalr as an example of multi-cloud management platform. I will also discuss some issues I’ve came across while managing permissions and variables … Read moreInfrastructure deployment in Terraform 2/2
Both Azure and AWS are leading players in public cloud. AWS developed a lot of SMB customer in technology. Azure attracted many enterprises from their on-prem customers. In addition to clienteles, their models to manage resources in the cloud are also different in several aspects. While this post is by no means a comprehensive comparison, … Read moreAzure Deets
This is what I have learned after writing the Azure AI fundamentals exam. Overview Artificial intelligence is the software that imitates human behaviours and capabilities. AI encompasses a very broad range of areas. In Azure’s product offering, it breaks it down into four application areas: Machine Learning, Computer Vision, Natural language processing and conversational AI. … Read moreA shallow dive into Artificial Intelligence