DoiT Cloud Intelligence™
DoiT Cloud Intelligence™ Blog
Perspectives, product guidance, and practical stories for teams working with DoiT Cloud Intelligence™.
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Amazon Aurora Serverless v1 End of Life: Key Steps and Dates You Need to Know
Amazon Web Services (AWS) initially announced the end of life (EOL) for Amazon Aurora Serverless v1, originally effective December 31…
Assigning static public IPs to Amazon EKS workers in Local Zones using KubeIP v2
How to guide for using KubeIPv2 with EKS
Aurora DSQL Uncovered: The Future of Scalable Databases
Discover How Aurora DSQL Works, Its Ideal Data Patterns, and Whether It’s the Right Fit for Your Application
Google Workspace Spam Filter Feature
Google Workspace offers a robust spam filtering feature that helps protect users from unwanted and potentially harmful emails. This feature…
VPC Architecture Patterns: Standalone vs. Centralized Approaches in AWS and GCP
Modern cloud architectures often require complex networking setups to support multiple teams, projects, and environments. This article…
Google Cloud LLM implementation: Key takeaways from our live Q&A
Learn how to implement LLMs on Google Cloud from DoiT's AI experts. Get practical insights on model selection, cost management, RAG implementation with Google Workspace, API testing strategies, and step-by-step guidance for your GenAI journey.
Flush Google’s Public DNS Cache
This article examines how to flush Google’s cached DNS records for a given domain with no authentication requirement.
Boosting FinOps efficiency with intuitive notifications and communication
Take a deep dive into the DoiT Notification Center, including the problems it solves and how we tailored it to best help our users.
Scaling Kubernetes: How to Seamlessly Expand Service IP Ranges
When managing Kubernetes clusters, ensuring sufficient IP addresses for Kubernetes Services can become a critical aspect of scaling and…
BigQuery HLL: How we cut COUNT(DISTINCT) query costs by 93% using HyperLogLog
COUNT(DISTINCT) is a fundamental operation, but it doesn’t scale efficiently — so we turned to HLL to address this challenge
Purr-fecting Data Orchestration: 🐈 BasePaws Data Meets Cloud Composer and LLMs
Analyze whole cat genome sequencing data scalable, reliably, and with greater ease using Cloud Composer and Claude 3.5 Sonnet
Seamless Calendar Sharing Between Google Workspace Organizations
This article examines two effective solutions to enable calendar sharing between separate Google Workspace organizations.