In this blog, I will discuss key software development trends for 2025, from AI-powered tools to ethical AI, low-code platforms, and cloud-native advancements.
Ensuring database reliability can be difficult. Our goal is to speed up development and minimize rollbacks. Achieving efficient processes requires database observability.
A DMZ cluster in Kubernetes secures public services from internal workloads, enhancing scalability, reducing attack surface, and ensuring controlled access.
Big data isn’t dead; it’s just going incremental. But bad things happen when uncontrolled changes collide with incremental jobs. Reacting to changes is a losing strategy.
Online issues can be highly complex, requiring the capture of key information for a clear understanding. Through logical reasoning, the root cause was pinpointed.
This article guides you through setting up a GraphQL server, defining schemas, and integrating with React, highlighting benefits and potential challenges.
The three data storage options and their pros and cons: the legacy data warehouse, the more recent data lake, and contemporary data lakehouse architectures.
You will learn how to run PostgreSQL in a Docker container with a portable, isolated, and resource-efficient database setup that is easy to manage and scalable.
Learn about Apache Iceberg catalogs, their types, configurations, and the best-fit solutions for managing metadata and large datasets in different environments.
In this article, you'll learn how to build a receipt scanner app using OCR for text extraction, OpenAI for processing, and PostgreSQL for efficient data storage.
With psychological factors helping explain why humans struggle with Agile, interdisciplinary expertise can help save us from future software disasters.
This article will teach you how to set up, deploy, manage, and scale ScyllaDB clusters on AWS using Terraform with this comprehensive step-by-step guide.
Big data technologies' quick development has highlighted the necessity of a smooth transition between real-time data analytics and batch processing systems.
The past year has been transformative for artificial intelligence. Let's review the major developments of 2024 and explore what the future might hold in 2025.