Performance Resources

Predict, Repeat, Improve: Deterministic Simulation Testing Explained

Explore deterministic simulation testing — how predictable, repeatable outcomes boost QA, reliability, and confidence for engineers and architects.

September 29, 2026

by Ammar Husain

CORE

· 1,898 Views · 4 Likes

Jakarta Batch in Practice: Reliable Chunk-Oriented Processing for Enterprise Workloads

Jakarta Batch gives enterprise apps a standard model for long-running data processing with jobs, steps, readers, processors, writers, checkpoints, and tunable execution.

September 29, 2026

by Otavio Santana

CORE

· 1,674 Views · 3 Likes

Stop Paying a Model to Make Decisions You Already Made

A skill that spells out a fixed procedure in prose makes Claude re-decide it every run. Here's how to measure that cost using data Claude Code already emits.

September 28, 2026

by Amith Reddy Ravuru

· 1,214 Views · 1 Like

Beyond Batch: Engineering Enterprise Systems for Real-Time Decisioning

Batch processing works well for many workloads, but real-time decisioning requires event-driven architecture designed for resilience, observability, and failure handling.

September 25, 2026

by Prem Kumar Gadhanki

· 1,582 Views

The Hidden Production Risks of Third-Party SDKs

Third-party SDKs speed up development, but they also introduce performance, security, reliability, and maintenance risks that teams must actively manage.

September 22, 2026

by Satyam Nikhra

· 5,117 Views · 1 Like

Architecting for <1s Latency: Managing Eventual Consistency in Distributed Search Platforms

To maintain sub-second search freshness, logistics systems must actively manage eventual consistency across Kafka ordering, search indexing, and cache invalidation.

September 22, 2026

by Dhruv Goel

· 2,232 Views · 2 Likes

Stop Blaming Executor Memory: The Real Reasons Your Spark Jobs Are Slow

This article explains five common causes of slow Spark jobs and practical fixes for joins, stragglers, decryption chains, shuffle partitions, and incremental processing.

September 18, 2026

by Swaminathan Sethuraman

· 2,488 Views · 3 Likes

Understand the Sidecar Pattern by Deploying n8n to AWS Fargate

Learn how to deploy n8n Task Runners as AWS Fargate sidecars for isolated code execution, independent resources, and scalable workflow automation.

September 17, 2026

by Iyanuoluwa Ajao

· 3,268 Views · 2 Likes

Architecting Production AI Across Clouds: Patterns That Decide System Survival

In production, enterprise AI rarely fails at the model. It fails in the architecture around it. Here are the cross-cutting patterns that work.

September 16, 2026

by VenkataSrinivas Kantamneni

· 3,351 Views · 2 Likes

Improving Repeated Analytics Workloads With Databricks Disk Cache

Databricks disk cache speeds up repeated reads from curated Parquet or Delta tables, but it works best with good table design and partitioning.

September 11, 2026

by Harsh Patel

· 2,553 Views · 1 Like

Memory-First Indexes in SQL Server 2025: Redefining Performance for Hybrid Workloads

Learn how SQL Server 2025 memory-first indexing can accelerate hybrid transactional and analytical workloads by reducing disk I/O and latency.

September 9, 2026

by arvind toorpu

CORE

· 2,704 Views · 3 Likes

Cutting Telemetry Volume Is Not the Same as Cutting Noise

A volume target removes bytes, not noise. Once easy cuts run out, you pay in answers you won't have. Govern the questions your team asks, not bytes per day.

September 8, 2026

by Severin Neumann

· 2,979 Views · 3 Likes

Optimize an AI Agent to Sound Human, Judged by an AI Detector

Use LaunchDarkly agent optimization to make an AI agent's replies sound human against GPTZero, an AI detector, as an inverted judge.

September 8, 2026

by Scarlett Attensil

· 2,874 Views · 2 Likes

What Actually Makes AI Infrastructure Agents More Reliable (It's Not More Agents)

Single AI agents fail during incidents. Four specialized agents — supervisor, telemetry, reasoning, action — handle observability more reliably.

September 8, 2026

by Kinjal Vaishnav

· 2,509 Views · 2 Likes

How Performance Engineers Find and Fix Hidden System Bottlenecks

Performance engineers diagnose end-to-end bottlenecks using data over intuition, turning hours of system delays into smooth, efficient execution.

September 7, 2026

by Alex Vakulov

CORE

· 2,785 Views · 2 Likes

The Bottleneck of Scaling

Learn how modern languages help developers take care of behind-the-scenes file descriptor management, kernel memory management, and heap management.

September 3, 2026

by Vishal Bhatia

· 3,098 Views · 2 Likes

Ampere PMU Profiler: A Guide to Microarchitecture Profiling

APP uses PMU metrics to pinpoint CPU stalls, cache misses, and other microarchitectural bottlenecks on Ampere processors

September 1, 2026

by Bhakti Hinduja

· 3,035 Views · 3 Likes

Why Ping-Based Uptime Checks Are Failing Modern SaaS Architectures

Legacy server ping checks are obsolete. Synthetic monitoring solves this by simulating real user journeys to validate that actual business workflows function correctly.

August 31, 2026

by Arun Kulkarni

· 2,043 Views · 1 Like

How to Monitor AI Models Without Drowning in Alerts

In this article, we will discuss monitoring AI models wisely. Prioritize actionable alerts so that real issues stand out instead of getting lost in the noise.

August 28, 2026

by Aditya Shrivastava

· 3,201 Views · 3 Likes

Pragmatic Premature Optimization

Learn simple Java performance tips for strings, collections, enums, and initialization that make code faster without sacrificing readability.

August 28, 2026

by Alexander Radzin

· 3,706 Views · 4 Likes

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