Posts from @shafislam..
Google Kubernetes Engine (GKE) Autopilot is a fully managed serverless option for running Kubernetes workloads. It offers simplified operations, scalability, cost efficiency, and enhanced security. However, it has limitations in configuration flexibility, direct node access, and pricing. GKE Autopil.. read more
Learn how to leverage the power of GitOps automation using GCP and ArgoCD to streamline your DevOps processes. Simplify image creation, deployment, maintenance for your projects while ensuring reliability and scalability. Discover step-by-step instructions to set-up and optimize your GitOps pipeline.. read more
You might still hate IAM and all it requires, but you can make your headaches smaller with strategic use of resource hierarchies... read more
This article delves into the development and deployment of tabular models using VertexAI and AutoML with Go, showcasing the actual Go code and sharing insights gained through trial & error and extensive Google research to overcome documentation limitations... read more
Google Cloud Platform provides developers with many tools to build scalable apps in a way friendlier than AWS. In this article, Olasubomi Oluwalana shows us how we can use the Google Cloud Engine, Storage, and PubSub offerings to build an uptime monitoring system in Ruby... read more
Demystifying Linkerd deployments: a comprehensive guide for security, reliability, and observability features on multiple cloud providers... read more
Dig Security researchers said the flaw could have let attackers escalate privileges to a sysadmin role on a container, allowing access to GCP data... read more
Google Cloud now offers our Security Command Center Premium customers $1 million of protection against cryptomining attacks. Here’s how you can get it... read more
The job of Machine Learning Engineer looks very promising in coming years and here we discuss what ML engineers do, how to become one, and how much they earn in India and the USA.
Company builds an internal LLM lab using Streamlit to build personal LLM use cases. They were able to create two useful tools in just a few hours and could easily port the tooling to query embedding. They also experimented with creating a spreadsheet interface for LLM using st.data_editor and st.fil.. read more
