Production AI agents can trigger cascading failures when observability tracks what broke, but not whether the system can safely absorb remediation actions.
Build a Slack bot using AWS Bedrock and MCP to answer GitHub questions. Learn setup, architecture, and how to extend it with new tools and data sources.
Building a Slack bot with traditional APIs led to 400 lines of code. Using MCP and AWS Bedrock reduced complexity, enabling scalable, tool-driven automation.
Instrument a Python Flask service with OpenTelemetry auto trace requests, export metrics to Prometheus, and inject trace IDs into logs for observability in one setup.
Learn how to build an ETL pipeline with human-in-the-loop approval that costs nothing while waiting — and see real cost data from processing 1,000 documents.
Setting up a data catalog isn’t just a tool problem. My work with Azure Purview and Collibra showed success depends on governance, metadata, and adoption.
SAP cloud TCO is driven more by landscape sprawl than by EC2 costs; optimize environments and use Terraform, S3, and EFS lifecycle policies to reduce costs.
Multi-cloud sounds strategic, but usually happens by accident. Networking, IAM, and observability all break at boundaries. Only attempt it if you have no choice.
Three protocols are shaping how AI agents interact with tools, other agents, and users. Here's what each one does, how they fit together, and when to reach for which.
CORE
