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Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
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New Trend Report "Security by Design": Learn AI-powered threat detection, SBOM adoption, and much more❗️

Join our live webinar on May 5 to learn how to build and run LLM inference on Kubernetes without the guesswork.

The Latest Performance Topics

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TOP-5 Lightweight Linux Distributions for Container Base Images
Choosing a base Linux image for containers is not just about the size. It is also about licensing, compatibility, update cadence, security posture, and support options.
April 7, 2026
by Catherine Edelveis
· 2,290 Views · 2 Likes
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Spark on AmpereOne® M Arm Processors Reference Architecture
Deploy and tune Apache Spark on AmpereOne M, with setup steps, cluster configs, and benchmarks showing gains vs Ampere Altra in performance and efficiency.
April 6, 2026
by RamaKrishna Nishtala
· 2,197 Views
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Hadoop on AmpereOne Reference Architecture
Hadoop on AmpereOne M shows improved throughput, scaling, and efficiency, with setup, tuning, and benchmark insights for optimizing big data workloads.
April 3, 2026
by RamaKrishna Nishtala
· 4,420 Views
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How Our gRPC Services Collapsed During Traffic Bursts — and What Finally Stopped It
A latency-driven dynamic rate limiter can keep gRPC services stable during traffic bursts by rejecting early instead of collapsing under queueing.
April 3, 2026
by Parveen Saini
· 1,217 Views
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When One Giant Payload Must Serve Many Small Consumers: Designing a Scalable Fanout Service
This mismatch between large producers and small consumers is where systems fracture. The fix isn’t constraining producers or overloading consumers — it’s a fanout layer.
April 2, 2026
by Vikas Mittal
· 1,227 Views · 1 Like
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Securing Error Budgets: How Attackers Exploit Reliability Blind Spots in Cloud Systems
Attackers exploit SRE blind spots. Treat security like reliability: track breach budgets, monitor configs and access, automate detection, and respond systematically.
April 2, 2026
by Oreoluwa Omoike
· 1,824 Views · 1 Like
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The Myth of Horizontal Scalability
Horizontal scaling only works for the parts of your system that are parallel. Find and shrink the serial fraction before adding more infrastructure.
April 2, 2026
by David Iyanu Jonathan
· 1,270 Views · 1 Like
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Mastering Azure Kubernetes Service: The Ultimate Guide to Scaling, Security, and Cost Optimization
Learn to optimize AKS with automated scaling, robust security policies, and cost-saving techniques for high-performance cloud clusters.
April 2, 2026
by Jubin Abhishek Soni DZone Core CORE
· 2,024 Views · 1 Like
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End-to-End Streaming Optimization: Kafka to Delta With Exactly-Once Guarantees
Kafka feeds the stream, Spark tracks progress via checkpoints, and Delta's transaction log ensures every event lands exactly once, even across failures and restarts.
April 1, 2026
by Seshendranath Balla Venkata
· 1,872 Views · 2 Likes
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From Load Testing to Performance Engineering: Why the Shift Matters
Modern cloud systems need performance engineering, not just load testing. Proactively ensure reliability, scalability, and resilience across the lifecycle.
April 1, 2026
by Roopa Bhavikatti
· 1,639 Views
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Reliability Is Security: Why SRE Teams Are Becoming the Frontline of Cloud Defense
In cloud systems, reliability and security are the same problem — security changes can cause outages, and attacks often appear as operational issues.
March 31, 2026
by Oreoluwa Omoike
· 2,364 Views · 1 Like
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Memory Optimization and Utilization in Java 25 LTS: Practical Best Practices
Memory optimization in the latest Java is more about controlling allocation, choosing the right GC, and measuring real behavior under load.
March 31, 2026
by Muhammed Harris Kodavath
· 1,961 Views · 4 Likes
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Deploying Java applications on Arm64 with Kubernetes
Tuning Java on Kubernetes (Arm64): align CPU/memory limits with JVM, use container-aware settings, optimize placement, and leverage OS tuning for better performance.
March 30, 2026
by Dave Neary
· 1,600 Views
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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
· 2,727 Views · 3 Likes
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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
· 2,333 Views · 1 Like
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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
· 1,217 Views
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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
· 1,161 Views
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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
· 1,753 Views · 1 Like
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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 DZone Core CORE
· 2,392 Views
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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
· 1,804 Views
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