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Curated links from external sources — not 360Softy original articles.

ExternalCloud
Google Cloud Blog

Using BigQuery Graphs with measures for trusted agentic workloads

When enterprises transition from using simple chat assistants to autonomous, agentic workloads, they quickly run into a hard truth: Agents are prone to inaccurate insights when working with directly raw tables.  BigQuery Graph helps organizations move beyond flat, static tables to represent enterprises exactly how they exist in the physical world: as interconnected business entities with real-world dependencies. With the support of measures in BigQuery Graph (preview), we are unifying governed m

AI & Machine LearningDatabasesData Analytics
Google Cloud BlogRead original
ExternalAI
AWS Machine Learning Blog

Monitor on-premises and multi-cloud AI agents with AgentCore Observability

Set up Amazon Bedrock AgentCore Observability for AI agents running outside AWS: on-premises, on GCP, on Azure, or on developer machines. This walkthrough uses the AWS Distro for OpenTelemetry (ADOT) and IAM credentials to route session traces, span metrics, and token usage to the same AgentCore Observability dashboard.

Advanced (300)Amazon Bedrock AgentCoreTechnical How-to
AWS Machine Learning BlogRead original
ExternalSoftware Engineering
DZone

Benchmark LangGraph, Strands, OpenAI Agents, and Google ADK on the Same Agent Graph

Agent framework debates are mostly vibes. One engineer swears LangGraph is faster, another prefers the OpenAI Agents SDK, someone wants Google ADK because it feels future-proof. The team picks one, wires the workflow into its SDK, and the choice is welded in. Changing frameworks later means tearing out the wiring for one SDK and rebuilding the workflow on another, an expensive rewrite few teams take on. This tutorial makes that decision reversible and then settles it with data. You put the agent

DZoneRead original
ExternalDevOps
HashiCorp Blog

Packer v1.16.0 brings verifiable provenance to machine images

Today we're announcing the release of Packer v1.16.0, which introduces native support for generating, signing, and verifying SLSA provenance attestations for every image Packer builds. Machine images are the foundation every workload runs on, and a compromised or tampered image can silently propagate to every instance launched from it. Until now, tracking down the origin of a problem meant digging through build logs that may no longer exist. With this release, Packer provides a cryptographic, ta

HashiCorp BlogRead original
ExternalSoftware Engineering
GitHub Blog

What 50 open source projects taught us about security in the AI era

See how the open source projects in Session 4 of the GitHub Secure Open Source Fund combined AI-assisted workflows, maintainer expertise, GitHub security tools, expert guidance, and funding to improve project security. The post What 50 open source projects taught us about security in the AI era appeared first on The GitHub Blog.

MaintainersOpen SourceSecurity
GitHub BlogRead original

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