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ContentUpdates and recent posts about Vertex AI..
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@devopslinks added a new tool Grype , 2 weeks, 2 days ago.
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@kaptain added a new tool Hadolint , 2 weeks, 2 days ago.
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@varbear added a new tool Bandit , 2 weeks, 2 days ago.
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@devopslinks added a new tool JFrog Xray , 2 weeks, 2 days ago.
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@devopslinks added a new tool OWASP Dependency-Check , 2 weeks, 2 days ago.
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@varbear added a new tool pre-commit , 2 weeks, 2 days ago.
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@devopslinks added a new tool GitGuardian , 2 weeks, 2 days ago.
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@devopslinks added a new tool detect-secrets , 2 weeks, 2 days ago.
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@devopslinks added a new tool Gitleaks , 2 weeks, 2 days ago.
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@eon01 published a course, 2 weeks, 2 days ago
Founder, FAUN.dev

DevSecOps in Practice

TruffleHog Flask NeuVector detect-secrets pre-commit OWASP Dependency-Check Docker checkov Bandit Hadolint Grype KubeLinter Syft GitLab CI/CD Trivy Kubernetes

A Hands-On Guide to Operationalizing DevSecOps at Scale

DevSecOps in Practice
Vertex AI is Google Cloud’s end-to-end machine learning and generative AI platform, designed to help teams build, deploy, and operate AI systems reliably at scale. It unifies data preparation, model training, evaluation, deployment, and monitoring into a single managed environment, reducing operational complexity while supporting advanced AI workloads.

Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.

The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.

Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.