Performance Resources

Structured Logging in Distributed Systems: What Most Teams Get Wrong and How to Fix It

Most teams log, but log badly: wrong severity levels, no trace IDs, inconsistent fields, and logs siloed from traces. Fix that, and incidents go from hours to minutes.

August 10, 2026

by Ashwini Dave

· 3,058 Views · 2 Likes

Designing a Reliable Data Synchronization Layer: Idempotency, Ownership, and Observability

Four design decisions for a sync layer you can trust: single ownership, idempotent writes, cheap change detection, observability.

August 4, 2026

by Mike Beentjes

· 4,158 Views · 5 Likes

Performance Testing With JMeter Beyond the Basics: Distributed Load, Realistic Profiles, and Identifying Security Bottlenecks

Learn how to build realistic JMeter load tests with production traffic patterns, distributed testing, session modeling, and security performance analysis.

August 4, 2026

by Srivenkata Gantikota

· 2,643 Views · 1 Like

No Observability Tool Is the “Best”

There's no single "best" monitoring tool — like cars or pizza, "best" depends on your specific needs, budget, and skills.

August 3, 2026

by Leon Adato

· 1,565 Views · 1 Like

Spark Performance Deep Dive on Databricks: Shuffle Tuning, Skew Handling, and Z-Ordering With Delta Lake + Unity Catalog

Learn Spark performance tuning on Databricks with shuffle optimization, skew handling, AQE, broadcast joins, and Delta Lake Z-Ordering best practices.

July 31, 2026

by Jubin Soni, FBCS

CORE

· 1,554 Views

SRE Best Practices for Production Alerting

Learn how to reduce alert noise, improve production monitoring, and create more effective alerts for large-scale distributed systems.

July 30, 2026

by Krishna Vinnakota

· 2,107 Views · 1 Like

AI in SRE: A Practical Autonomy Model for Self-Healing Infrastructure

A practical framework for graduated autonomy in self-healing infrastructure, covering three remediation tiers and policy-driven blast-radius controls for cloud SRE teams.

July 29, 2026

by Shraddhaben Gajjar

· 3,107 Views · 2 Likes

OpenTelemetry's OpAMP Potential Far Beyond Supporting Collectors

A look at the Open Agent Management Protocol (OpAMP) that has been created by the CNCF OpenTelemetry project and how it could deliver beyond OTel's needs.

July 27, 2026

by Phil Wilkins

· 2,112 Views

The Rise of Agentic SRE: Humans, Agents, and Reliability

Agentic SRE speeds up incident response, but it also requires clear guardrails, strong observability, and human oversight.

July 23, 2026

by Neel Shah

· 4,527 Views · 1 Like

Why MCP Servers Lose Session State Behind Load Balancers

Moving an MCP server behind a load balancer changes how sessions behave, and can break long-running tool calls without obvious errors.

July 22, 2026

by Tanushree Das

· 5,196 Views · 2 Likes

React 19 Killed Half My Performance Optimization Code, and I'm Grateful

React 19's compiler eliminated most of my useMemo and useCallback code. Table virtualization, optimistic updates, and route splitting still need manual attention.

July 22, 2026

by Rohit G

· 5,151 Views · 1 Like

Agent Sprawl Is Your Next Production Incident: An SRE Response to Datadog's State of AI Engineering 2026

Datadog published the State of AI Engineering 2026 report. Read it. It's the most comprehensive look at AI in production available now.

July 20, 2026

by AJAY DEVINENI

· 3,756 Views · 1 Like

7 Essential Guardrails for Building AI SRE Agents

AI agents can take over the first minutes of incident response, but only with the right boundaries. Seven guardrails that keep an SRE agent from becoming the outage.

July 20, 2026

by Akhilesh Rao Meesala

· 2,439 Views · 3 Likes

Observability for AI Agents and Multi-Agent Systems: When Your System Can't Tell You Why It Did That

Agent systems discard the reasoning behind decisions. Capture workflow IDs, semantic logs, and prompt context before production deployment.

July 17, 2026

by Pruthvi Raj Seknametla

· 36,218 Views · 2 Likes

Cloud Cost Optimization Was Hard; AI Cost Optimization Will Be Worse.

Cloud cost optimization was hard because cloud made infrastructure consumption easy; AI cost optimization will be worse because AI makes decision consumption easy.

July 15, 2026

by Raghava Dittakavi

CORE

· 5,366 Views · 3 Likes

Debugging and Performance Tuning in Pega Using PAL, Tracer, and Clipboard

Use PAL to find where time and memory go, Tracer to see which rule caused it, and Clipboard to confirm the state in that order, every time.

July 15, 2026

by Anil guntupalli

· 2,922 Views

Does 100% Code Coverage Mean Tested?

Learn why 100% code coverage doesn't guarantee software quality, and how behavior coverage and mutation testing provide more meaningful testing insights.

July 15, 2026

by Stelios Manioudakis

CORE

· 4,034 Views · 1 Like

Scaling Teams, Scaling Systems: Unlocking Developer Productivity With Platform Engineering

Platform engineering scales teams and systems, streamlines workflows, and reduces friction—driving faster delivery, collaboration, and sustainable growth.

July 14, 2026

by Ammar Husain

CORE

· 3,046 Views · 1 Like