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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Because the DevOps movement has redefined engineering responsibilities, SREs now have to become stewards of observability strategy.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

The Latest Performance Topics

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Observability Fundamentals Beyond Traditional Monitoring
Learn how to get started with full-stack observability and monitoring — from the key components and goals to steps for defining and implementing the right processes.
November 27, 2024
by Stelios Manioudakis, PhD DZone Core CORE
· 8,788 Views · 3 Likes
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Why We Use FreeBSD Over Linux: A CTO’s Perspective
The CTO of E-Card discusses his open-source operating strategy, including the approach to large-scale workloads, ZFS storage, and security architecture.
November 26, 2024
by Rumen Palov
· 11,110 Views · 6 Likes
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Elasticsearch Query and Indexing Architecture
This article breaks down Elasticsearch's core architecture by explaining how search queries and indexing requests flow through the system.
November 26, 2024
by Udbhav Prasad
· 4,304 Views · 6 Likes
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Primer on Distributed Parallel Processing With Ray Using KubeRay
Learn what distributed parallel processing is and how to achieve it with Ray using KubeRay in Kubernetes to handle large-scale, resource-intensive tasks.
November 25, 2024
by Sudhanshu Prajapati
· 1,283 Views
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Maximizing AI Training Efficiency: Selecting the Right Model
Unlock AI training efficiency: Learn to select the right model architecture for your task. Explore CNNs, RNNs, Transformers, and more to maximize performance.
November 21, 2024
by Kevin Vu
· 1,060 Views · 1 Like
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Everyone Uses Postgres...But Why?
All big players in the market use PostgreSQL nowadays. But why is that? Find out the answer in this article.
November 20, 2024
by Adam Furmanek DZone Core CORE
· 7,166 Views · 13 Likes
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The Art of Separation in Data Science: Balancing Ego and Objectivity
Explore an example of learning the hard way that ego and ideas don’t mix, and how a “breakthrough” model flopped because of an overlooked data flaw.
November 20, 2024
by Sabarna Choudhuri
· 2,348 Views · 2 Likes
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How to Enable Azure Databricks Lakehouse Monitoring Through Scripts
This guide uses Python scripts to enable Databricks Lakehouse Monitoring for snapshot profiles for all Delta Live Tables in a schema in the Azure environment.
November 20, 2024
by Soumya Barman
· 1,267 Views · 1 Like
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Top 10 PostgreSQL Tuning Tips for High-Performance Databases
This article provides 10 tips to optimize PostgreSQL performance, covering memory settings, query planning, indexing, autovacuum, and parallel queries.
November 18, 2024
by ELANGO MUTHUSAMY
· 4,448 Views · 13 Likes
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What Is a Performance Engineer and How to Become One: Part 2
Learn more about some of the essential skills required for performance engineers to meet the current expectations and needs of companies and stakeholders.
November 14, 2024
by RadhaKrishna Prasad
· 1,853 Views · 2 Likes
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The Science Behind Durability: Write-Ahead Logging Explained
For any persistence store system, guaranteeing durability of data being managed is of prime importance. Read on to know how write ahead logging ensures durability.
November 14, 2024
by Ammar Husain
· 1,532 Views · 2 Likes
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A Five Point Plan to Start Test Automation
Discover a comprehensive five point plan to kickstart automation testing in your software development process and enhance the overall quality of your apps.
November 13, 2024
by Faisal Khatri DZone Core CORE
· 2,512 Views · 1 Like
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LLMops: The Future of AI Model Management
LLMOps enhances MLOps for generative AI, focusing on prompt and RAG management to boost efficiency, scalability, and streamline deployment while tackling resource and complexity challenges.
November 12, 2024
by Suri Nuthalapati DZone Core CORE
· 27,104 Views · 1 Like
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Understanding AI-Driven Adaptive Consistency in Distributed Systems
Learn how AI-powered adaptive consistency allows distributed systems to flexibly balance consistency, availability, and performance in real time.
November 12, 2024
by Suruchi Shah
· 942 Views · 1 Like
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iRODS: An Open-Source Approach to Data Management in Large-Scale Research Environments
Discover iRODS, the open-source data management platform revolutionizing how enterprises handle large-scale datasets with policy-based automation and federation.
November 12, 2024
by Tom Smith DZone Core CORE
· 1,114 Views · 1 Like
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Mastering Load Balancers: Optimizing Traffic for High Availability and Performance
Load balancers distribute traffic across servers for better performance and uptime. They prevent server overload, enable scaling, and ensure reliable service delivery.
November 12, 2024
by Suleiman Dibirov DZone Core CORE
· 698 Views · 4 Likes
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5 Tips for Fine-Tuning LLMs
Master LLM fine-tuning with expert tips on data quality, model architecture, and bias mitigation and boost performance and efficiency in AI development.
November 11, 2024
by Kevin Vu
· 1,548 Views · 1 Like
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MuleSoft: Best Practices on Batch Processing
Learn about the different scenarios and best practices for batch processing in Mule 4, including optimizing batch size, parallel processing, streaming, and more.
November 7, 2024
by PRAVEEN SUNDAR
· 2,889 Views · 3 Likes
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Designing Scalable and Secure Cloud-Native Architectures: Technical Strategies and Best Practices
Explore the flexibility, scalability, and efficiency of cloud-native architecture compared to monolithic architecture, and learn the challenges of implementing.
November 6, 2024
by Roman Shmyhelskyi
· 15,955 Views · 65 Likes
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Model Compression: Improving Efficiency of Deep Learning Models
Model compression is a key component of real-time deployment of deep learning models. This article explores different approaches to make models more efficient.
November 6, 2024
by Inderjot Singh Saggu
· 1,562 Views · 6 Likes
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