DevSecOps in Practice
A Hands-On Guide to Operationalizing DevSecOps at Scale
Updates and recent posts about ForgeMT.. Activity
@devopslinks added a new tool JFrog Xray , 4 days ago.
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@devopslinks added a new tool OWASP Dependency-Check , 4 days ago.
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@varbear added a new tool pre-commit , 4 days ago.
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@devopslinks added a new tool GitGuardian , 4 days ago.
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@devopslinks added a new tool detect-secrets , 4 days ago.
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@devopslinks added a new tool Gitleaks , 4 days, 1 hour ago.
Course
@eon01 published a course, 4 days, 1 hour ago
Founder, FAUN.dev
Story Trigma Inc Team
@tairascott shared a post, 4 days, 1 hour ago
AI Expert and Consultant, Trigma
How Do Large Language Models (LLMs) Work? An In-Depth Look
Discover how Large Language Models work through a clear and human centered explanation. Learn about training, reasoning, and real world applications including Agentic AI development and LLM powered solutions from Trigma.
The platform provisions ephemeral runners on both EC2 and Kubernetes (EKS) using Terraform and Terragrunt, ensuring workloads scale up instantly and tear down to zero when idle, reducing costs. It enforces strong tenant isolation with AWS IAM, OIDC integration, and network segmentation, giving each team a secure boundary without requiring separate infrastructure.
ForgeMT integrates seamlessly with GitHub via a GitHub App and webhook events, automatically spinning up the right type of runner when jobs start. It supports advanced autoscaling strategies with Karpenter, spot instance optimization, and observability through centralized logging and monitoring.
By removing operational overhead, ForgeMT helps organizations accelerate delivery, cut cloud costs, and meet security requirements — all while giving developers fast, ephemeral CI runners that just work.
