Google Releases Magika 1.0: AI File Detection in Rust
Google releases Magika 1.0, an AI file detection system rebuilt in Rust for improved performance and security.
Updates and recent posts about Vertex AI.. Activity
@kaptain added a new tool Kubernetes Gateway API , 4 months, 3 weeks ago.
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@kala shared an update, 4 months, 3 weeks ago
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Google’s Cloud APIs Become Agent-Ready with Official MCP Support
Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.
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@devopslinks added a new tool BigQuery , 4 months, 3 weeks ago.
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@devopslinks shared an update, 4 months, 3 weeks ago
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AWS Previews DevOps Agent to Automate Incident Investigation Across Cloud Environments
AWS introduces an autonomous AI DevOps Agent to enhance incident response and system reliability, integrating with tools like Amazon CloudWatch and ServiceNow for proactive recommendations.
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@devopslinks added a new tool ServiceNow , 4 months, 3 weeks ago.
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@laura_garcia shared a post, 4 months, 3 weeks ago
Software Developer, RELIANOID
The UK raises the bar on digital security
With cyberattacks on the rise, the Product Security and Telecommunications Infrastructure (PSTI) Act marks a major step toward making connected technology secure by design. In our latest article, we explain: What the PSTI Act requires Why it matters beyond consumer IoT How it signals a global sh..
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@shurup shared a post, 4 months, 3 weeks ago
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New CNCF Sandbox projects in 2025: From Podman to CloudNativePG
Each year, 25-30 new Open Source projects related to the Cloud Native ecosystem are accepted to the CNCF Sandbox. In January 2025, there were 13 additions, with four of them donated by Red Hat. Here's the list of these newly added CNCF projects: - Podman Container Tools (security-focused Docker alte..
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@mjh gave 🐾 to Announcing FAUN.sensei() — Self-paced guides to grow fast — even when tech moves faster. , 4 months, 3 weeks ago.
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.
