Performance Resources

Designing High-Concurrency Databricks Workloads Without Performance Degradation

Enable liquid clustering and auto-optimize by default. They handle layout, conflicts, and compaction automatically as workloads scale.

March 27, 2026

by Seshendranath Balla Venkata

· 3,981 Views · 3 Likes

Engineering High-Performance Real-Time Leaderboard

Replaced slow slice-based leaderboard with indexed skip list + hash IDs, cutting updates to <1ms and stabilizing CPU/memory under loads.

March 27, 2026

by Ivan Balashov

· 3,043 Views · 1 Like

Engineering Capacity Plans for Load-Shedding in High-Demand Enterprise Apps

This article provides a practical approach to capacity planning and demonstrates load-shedding patterns for large-scale enterprise applications.

March 27, 2026

by Amit Kumar Padhy

· 1,790 Views

Understanding Dropped Updates in Feed Generation Systems in Modern Applications

In this article, understand what dropped updates in feed generation systems are, why they are important, and how to prevent them.

March 27, 2026

by Amit Sonar

· 1,745 Views

MinIO AIStor and Ampere® Computing Reference Architecture for High-Performance AI Inference

MinIO AIStor delivers high-performance, scalable object storage for AI workloads with Ampere CPUs, optimized for inference, analytics, and cloud-native environments.

March 26, 2026

by Tinh Nguyen

· 2,458 Views · 1 Like

When Kubernetes Says "All Green" But Your System Is Already Failing

Learn about how standard cluster observability misses the failure signals that matter most during real incidents, outages, and postmortems.

March 26, 2026

by Shamsher Khan

CORE

· 3,279 Views

From 30s to 200ms: Optimizing Multidimensional Time Series Analysis at Scale

Do multidimensional anomaly detection at scale, sharing strategies to speed up time series queries, achieving consistent sub-second performance.

March 26, 2026

by Suvodeep Pyne

· 2,457 Views

Retries Will Bankrupt You Before Any Attacker Gets the Chance

Bad retries turn minor failures into major outages and bigger bills. Resilience without limits, jitter, and idempotency is just expensive failure.

March 25, 2026

by David Iyanu Jonathan

· 1,220 Views

Beyond Reactive HPA: Designing a Predictive Autoscaler with KEDA and Time-Series Forecasting

Eliminate HPA scaling lag by wiring time-series forecasting (Prophet) into KEDA to provision pod capacity before traffic spikes hit.

March 23, 2026

by Nabin Debnath

· 1,901 Views · 1 Like

AI as a SQL Performance Tuning Assistant: A Structured Evaluation

Can AI genuinely provide engineering‑grade SQL optimization insights, or does it mainly offer confident‑sounding but shallow guidance?

March 20, 2026

by Manish Adawadkar

· 3,930 Views · 3 Likes

Why Agentic AI Demands Intent-Based Chaos Engineering

Intent-based chaos engineering tests AI systems with calculated stress, using topology, sensitivity, and SLA insights to ensure predictable resilience.

March 20, 2026

by Sayali Patil

· 6,031 Views · 4 Likes

Latency Is Cheap, Bandwidth Is Not

Bandwidth — not compute — is what quietly blows up cloud bills. Measure bytes. Minimize payloads. Treat caching and topology as cost controls.

March 19, 2026

by David Iyanu Jonathan

· 3,291 Views · 1 Like

How LLMs Reach 1 Million Token Context Windows — Context Parallelism and Ring Attention

Learn how Ring Attention and context parallelism enable LLMs to scale to 10M tokens through distributed GPU training and memory optimization.

March 18, 2026

by Kevin Vu

· 3,250 Views

Automating IBM MQ Console (MQ Web Server) Startup Post-Server Reboot

This article provides simple steps to configure the IBM MQ Web Server for automatic startup as a system service on both Windows and Linux.

March 17, 2026

by Ram Kasivisvanathan

· 2,881 Views

Beyond Chatbots: Supercharging Feather Wand With Claude Code Integration

When I first introduced Feather Wand, the goal was simple: to make performance testing more accessible and efficient by leveraging the power of AI.

March 17, 2026

by NaveenKumar Namachivayam

CORE

· 3,023 Views · 1 Like

Observability in AI Pipelines: Why “The System Is Up” Means Nothing

AI systems can be fully “up” yet behave unpredictably, expensively, or incorrectly. Observability must track job state, retries, token usage, and cost.

March 17, 2026

by Aditya Gupta

· 3,392 Views · 1 Like

Zero Trust, Build High Scale TLS Termination Layer

Automated TLS termination for thousands of custom domains on HAProxy. DigiCert HTTP DCV, internal KMS, sync agents, HAProxy runtime API for zero-downtime cert updates.

March 16, 2026

by Ramesh Sinha

· 6,238 Views

Performance Unlocked: Introducing the Ampere Performance Toolkit (APT)

Ampere Performance Toolkit (APT) helps developers port, benchmark, and optimize Arm64 workloads with tools for migration, profiling, and performance analysis.

March 16, 2026

by Pete Baker

· 2,562 Views

Extending Java Libraries with Service Loader

How to dynamically use Java’s Service Loader to discover and load SPI implementations at runtime for plugin-like extensions.

March 13, 2026

by Dominik Przybysz

· 3,660 Views · 3 Likes

Beyond the Heartbeat: Monitoring Agentic Systems

Agentic monitoring shifts from uptime to decision health — tracking reasoning, performance, resources, and outcomes across dynamic workflows.

March 12, 2026

by VIVEK KATARYA

· 3,098 Views

The Latest Performance Topics