Monitoring and Observability Resources for Engineers

Azure Databricks for Scalable MLOps and Feature Engineering With Apache Spark, Delta Lake, and MLflow

A practical guide to feature engineering at scale with Azure Databricks, covering distributed data processing with Spark and reliable storage with Delta Lake.

July 6, 2026

by Jubin Soni, FBCS

CORE

· 1,237 Views

Building an AI Agent That Responds to Real-Time Events With AWS Bedrock, Kinesis, DynamoDB, and S3

Build an AI agent that processes real-time events with Amazon Bedrock and a serverless AWS architecture powered by Kinesis, DynamoDB, and S3.

July 3, 2026

by Jubin Soni, FBCS

CORE

· 2,157 Views · 1 Like

Beyond Static Thresholds: Building Self-Healing Systems via Context-Aware Control Loops

Static thresholds fail in complex distributed systems. This article introduces a context-aware control loop architecture to isolate failures and automate recovery.

June 29, 2026

by Darshan Botadra

· 1,362 Views

Selective Deployment in Azure Data Factory: A Practical Blueprint for Safer CI/CD

Implement selective deployment in Azure Data Factory to safely promote individual features without deploying the entire factory state

June 26, 2026

by Sauhard Bhatt

· 2,124 Views · 2 Likes

Implementing Asynchronous Communication Between Microservices Using Kafka and Spring Boot

Kafka decouples services, buffers spikes, and routes failures to a DLT. Schemas are contracts; consumers must be idempotent.

June 24, 2026

by Mallikharjuna Manepalli

· 3,176 Views · 1 Like

I Built a VS Code Extension to Debug Azure AI Foundry Agents Without Leaving My Editor

Free VS Code extension for Azure AI Foundry agent traces into your editor as an interactive timeline — see tool calls, token costs, and conversation replays.

June 23, 2026

by Jubin Soni, FBCS

CORE

· 1,774 Views · 1 Like

Devs Don't Want More Dashboards; They Want Self-Healing Systems

Developers don't want more dashboards to stare at or more complex alerts to manage; they want systems that actively heal themselves.

June 22, 2026

by Thomas Johnson

CORE

· 1,161 Views

Building an Agentic Incident Resolution System for Developers

This is how you can build an automated agentic incident resolution system using Port as a context layer and Datadog for incident tracing.

June 17, 2026

by Pavan Belagatti

CORE

· 2,625 Views

Conversational Risk Accumulation: Stateful Guardrails Beyond Single-Turn LLM Checks

Learn how Conversational Risk Accumulation (CRA) helps detect session-level risks in long AI chats using telemetry, drift tracking, and soft guardrails.

June 15, 2026

by Sanjay Mishra

· 1,932 Views

Building a RAG-Powered Bug Triage Agent With AWS Bedrock and OpenSearch k-NN

Learn how a RAG-powered bug triage agent uses AWS Bedrock, OpenSearch, and dynamic scoring to automate crash analysis and routing.

June 9, 2026

by Rajasekhar sunkara

· 2,133 Views

Amazon Quick: AWS's Agentic Workspace, Explained for Engineers

A technical deep dive into Amazon Quick — how it works, how it connects to your tools via MCP, and where it sits in the AWS agent stack.

June 9, 2026

by Jubin Soni, FBCS

CORE

· 4,284 Views

Agentic AI Has an Observability Blind Spot Nobody Is Talking About

Production AI agents can trigger cascading failures when observability tracks what broke, but not whether the system can safely absorb remediation actions.

June 8, 2026

by Sayali Patil

· 1,471 Views · 2 Likes

How to Build an Agentic AI SRE Co-Pilot for Incident Response

Build an agentic SRE co-pilot using LLMs to autonomously reason, plan, and execute incident response across complex, multi-cloud infrastructure.

June 8, 2026

by Akshay Pratinav

· 2,030 Views

Observability for Agents and Workflows: Tracing Prompts, Tool Calls, and Business Outcomes End-to-End

Learn how to trace AI agents end to end, from prompts and tool calls to business outcomes, with observability practices for production workflows.

June 5, 2026

by Srinivas Chippagiri

CORE

· 5,247 Views · 2 Likes

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 2

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.

June 4, 2026

by Sangharsh Agarwal

· 2,856 Views

Compliance Automated Standard Solution (COMPASS), Part 11: Compliance as Code, the OSCAL MCP Server Way

How AI-native tooling is finally closing the loop between compliance personas and OSCAL artifacts with an MCP-standardized, AI-agent-ready interface.

June 4, 2026

by Yuji Watanabe

· 2,775 Views · 1 Like

Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 1

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.

June 3, 2026

by Sangharsh Agarwal

· 3,192 Views · 2 Likes

Stop Debugging Glue Jobs Manually: Building an Agentic Observability Layer for Data Pipelines

Glue failures scatter evidence across logs, metadata, and table state. A triage layer pulls it together and flags whether a rerun is safe.

June 2, 2026

by Vivek Venkatesan

· 2,539 Views · 1 Like

Implementing Observability in Distributed Systems Using OpenTelemetry

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.

May 29, 2026

by Mugunth Chandran

· 3,001 Views · 1 Like

Building a Zero-Cost Approval Workflow With AWS Lambda Durable Functions

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.

May 28, 2026

by Harpreet Siddhu

· 4,643 Views · 1 Like

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