How an AI-Powered RAG Platform on AWS Eliminated Manual DevOps
Most DevOps teams are drowning in fragmented data, Terraform files in one place, CLI outputs in another, Jira tasks piling up manually, and debugging loops that eat hours.
Here's Teleglobal International Case Study shows how a production RAG platform on Amazon Bedrock changed that.
This post breaks down the real architecture, model selection decision, AWS cost breakdown, and go-live results of a deployed AI-powered DevOps intelligence platform.
What's inside: ā Why RAG + Bedrock beat fine-tuning and direct LLM querying ā How Qwen3-Coder-480B was selected over Claude 3.5 Sonnet and Nova Pro ā 12 S3 buckets powering one unified DevOps intelligence layer ā Full Jira, Git, and pipeline automation, zero manual triggers ā $2,748/month total infra cost, on-demand only
If your team is still triggering DevOps tasks manually, this is worth a read.
Read the full case Study Here@ https://teleglobals.com/case-study/ai-devops-platform-aws-for-kloudping
