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Best Practices for Picking PostgreSQL Data Types

DZone

In this article, we'll explore best practices for selecting data types that align with PostgreSQL's recommendations. Whether you're designing tables for a new project or optimizing an existing database, these insights will help you make informed decisions.

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Best Practices in Cloud Security Monitoring

Scalegrid

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Get ready for actionable insights that balance technical depth with practical advice. What does it take to secure your cloud assets effectively? </p>

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MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. We’ll also go over some best practices for MongoDB security as well as MongoDB data modeling. There is an issue with this, which causes the OS to swap even with memory available.

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From Docker Swarm to Kubernetes: Transitioning and Scaling

DZone

This article delves into the nuances of transitioning from Docker Swarm to Kubernetes, focusing on best practices, strategic considerations, and the scaling advantages Kubernetes offers.

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Snowflake Performance Tuning: Top 5 Best Practices

DZone

Snowflake was designed for simplicity, with few performance tuning options. This article summarizes the top five best practices to maximize query performance. How do you tune the Snowflake data warehouse when there are no indexes, and few options available to tune the database itself?

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What is continuous delivery and what are best practices for implementing it?

Dynatrace

In my previous article about continuous integration and continuous delivery (CI/CD) , I defined CI/CD and explained how these practices work together to help DevOps teams deliver quality software faster. Best practices for adopting continuous delivery. Dynatrace news. Develop Service Level Objectives (SLOs).

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AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning Applications

DZone

This article proposes a technique using Docker, an open-source platform designed to automate application deployment, scaling, and management, as a solution to these challenges. The proposed methodology encapsulates the ML models and their environment into a standardized Docker container unit. What Is Docker?