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The Latest Performance Topics

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Optimizing Arm-Based Build Servers With AmpereOne CPUs
Learn how to optimize Linux build servers for faster CI builds using parallel jobs, RAM disks, CPU tuning, and kernel tweaks on Ampere systems.
June 17, 2026
by Dave Neary
· 1,609 Views
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Parallel Kafka Batch Processing With Kotlin Coroutines in Spring Boot
Learn how Kotlin Coroutines improve Spring Boot Kafka batch processing with parallel execution, resource throttling, and faster database operations.
June 16, 2026
by Erkin Karanlık
· 2,813 Views · 1 Like
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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
· 1,978 Views
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Metal and Skins
A new Metal rendering backend for iOS, a browser-hosted Skin Designer that retires the skin downloader, an iOS Reminders-style Return-as-Done flag, status-bar tap diagnos
June 9, 2026
by Shai Almog DZone Core CORE
· 659 Views · 1 Like
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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
· 1,497 Views · 2 Likes
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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
· 2,349 Views
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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 DZone Core CORE
· 5,359 Views · 2 Likes
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Why Round-Robin Won't Save You: Load Balancing Challenges in Data Streaming Services With Heterogeneous Traffic
Throughput-based load balancing breaks down when streaming messages have heterogeneous processing costs — the fix is balancing on actual per-partition resource usage.
June 5, 2026
by Semyon Slepov
· 3,344 Views · 1 Like
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Compliance Automated Standard Solution (COMPASS), Part 10: How OSCAL Mapping Paves the Way for Continuous Compliance Scalability
Mapping Model is the missing architectural layer that transforms multi-framework compliance from exponential complexity to a linear scale.
June 3, 2026
by Vikas Agarwal
· 2,556 Views
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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
· 2,565 Views · 1 Like
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Data Contracts as the "Circuit Breaker" for Model Reliability
AI models do not fail due to bad coding; they fail due to an upstream change in the input. Combine contracts with circuit breakers to stop bad data from entering models.
June 1, 2026
by SRIRAMPRABHU RAJENDRAN
· 2,001 Views
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Every Cache Miss Is a Tiny Tax on Your Performance
Cache misses add latency, load, and cost — optimize your cache hit ratio to reduce unnecessary backend work and keep systems fast at scale.
June 1, 2026
by Jayapragash Dakshnamurthy
· 1,563 Views · 1 Like
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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
· 3,025 Views · 1 Like
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Chaos Engineering Has a Blind Spot. Agentic AI Lives in It.
Chaos tests can prove your RAG pipeline survived failure, but not that it stayed correct. Learn how behavioral checks catch silent AI drift.
May 28, 2026
by Sayali Patil
· 5,078 Views · 3 Likes
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Feature Flag Debt: Performance Impact in Enterprise Applications
Feature flags help teams move fast, but when they’re not cleaned up, they quietly add extra code, slow down performance, and make applications harder to maintain.
May 27, 2026
by Poornakumar Rasiraju
· 4,603 Views · 2 Likes
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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
· 1,951 Views
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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
· 3,782 Views
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A Scalable Framework for Enterprise Salesforce Optimization: Turning Outcomes Into an Operating System
Outcome-driven intake, clear processes, config-first builds, disciplined releases, and telemetry cut Salesforce cycle time ~90% and boost efficiency 30%+.
May 25, 2026
by Pulkit Singhal
· 1,573 Views
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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
· 4,205 Views · 1 Like
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Throughput vs Goodput: The Performance Metric You Are Probably Ignoring in LLM Testing
See the difference between throughput and goodput, and why throughput alone can give you a dangerously false sense of confidence.
May 21, 2026
by NaveenKumar Namachivayam DZone Core CORE
· 3,475 Views
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