Monitoring and Observability Resources for Engineers

Setting Up a Data Catalog With Azure Purview and Collibra: What Three Attempts Taught Me

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.

May 27, 2026

by Kuladeep Sandra

· 4,646 Views

When Perfect Data Breaks: The Journey from Data Quality to Data Observability

Data quality checks often miss silent failures. Use data observability to monitor data in motion and catch issues traditional tools miss.

May 25, 2026

by Divyakumar Savla

· 1,914 Views

One Query, Four GPUs: Tracing a Distributed Training Stall Across Nodes

One SQL query across 4 GPU nodes found a straggler in under a second using eBPF fleet fan-out, no central collector needed.

May 25, 2026

by Ingero Team

· 3,750 Views

AWS Managed Database Observability: Monitoring DynamoDB, ElastiCache, and Redshift Beyond CloudWatch

Three AWS managed databases, three dashboards, and one cascade you can only trace by hand. This guide fills the gap CloudWatch leaves open.

May 22, 2026

by Damaso Sanoja

· 4,165 Views · 1 Like

Architecting Petabyte-Scale Hyperspectral Pipelines on AWS

Learn how to overcome serverless bottlenecks to process and route petabyte-scale hyperspectral agricultural data on AWS.

May 21, 2026

by Anil Bodepudi

· 3,724 Views

Why SAP S/4HANA Landscape Design Impacts Cloud TCO More Than Compute Costs

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.

May 20, 2026

by Deepika Paturu

· 2,868 Views

Manual Investigation: The Hidden Bottleneck in Incident Response

Learn about why engineers are stuck investigating instead of fixing and how AI is changing the investigation process for modern systems.

May 18, 2026

by Brian Kaufman

· 1,512 Views

We Went Multi-Cloud and Almost Drowned: Lessons From Running Across AWS, GCP, and Azure

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.

May 18, 2026

by Pruthvi Raj Seknametla

· 3,933 Views

Observability in Spring Boot 4

Bridge observability gaps in Spring Boot 4 by injecting Micrometer Trace IDs via SQL comments and propagating context through Kafka.

May 15, 2026

by ha dinh thai

· 2,811 Views · 1 Like

The Agent Protocol Stack: MCP vs. A2A vs. AG-UI

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.

May 15, 2026

by Jubin Soni, FBCS

CORE

· 3,368 Views

AWS Kiro: The Agentic IDE That Makes Specs the Unit of Work

You describe a feature, and Kiro generates structured requirements.md, design.md, and tasks.md files first, then implements against them.

May 13, 2026

by Jubin Soni, FBCS

CORE

· 3,418 Views · 2 Likes

The Cost of Knowing: When Observability Becomes the Outage

Observability costs spiral when teams optimize for visibility, not cost. Fix it by making spend visible, sampling aggressively, and cutting low-value data.

May 13, 2026

by David Iyanu Jonathan

· 1,914 Views

Monitoring Spring Boot Applications with Prometheus and Grafana

Demonstrates how to expose Spring Boot metrics with Prometheus and build Grafana dashboards to track memory usage and error rates for production-grade Java services.

May 11, 2026

by Ramya vani Rayala

· 2,295 Views · 1 Like

The Serverless Illusion: When “Pay for What You Use” Becomes Expensive

Serverless isn’t inherently cheaper. Hidden costs add up, and at scale it’s often pricier than containers — best for sporadic, not steady workloads.

May 11, 2026

by David Iyanu Jonathan

· 2,551 Views · 1 Like

The Death of "Text-Only" ChatOps: Why Google's A2UI Matters for DevOps and SRE

Google’s A2UI lets AI agents send secure JSON blueprints that render native, interactive UIs, replacing ChatOps text walls with click-to-act ops workflows.

May 8, 2026

by Deneesh Narayanasamy

· 2,132 Views

Designing Self-Healing AI Infrastructure: The Role of Autonomous Recovery

Distributed AI systems fail faster than humans can respond, making traditional response insufficient. Self-healing systems use telemetry and automation to recover early.

May 7, 2026

by Sayali Patil

· 4,944 Views · 5 Likes