In this year’s final newsletter, we’re bringing you 5 standout articles that our readers found the most interesting and impactful. Covering topics like unlocking database performance, optimizing cloud costs, and mastering modern data strategies, these pieces stood out for their practical insights and relevance to today’s business challenges.

As The Ashnik Times wraps up another successful year, we’re proud to have shared ideas and solutions that resonate with over 50,000 subscribers monthly. Our content’s impressive 30% engagement rate empowers businesses to thrive in an ever-evolving landscape. Dive into these top reads and stay inspired for the year ahead!

PostgreSQL 17: Achieve 50% Faster Backups and Better Performance

PostgreSQL 17 introduced several powerful features that streamline database management and improve performance. SQL/JSON enhancements and incremental backups enable businesses to process large data volumes more efficiently. Incremental backups, in particular, reduce backup times by up to 50%, saving businesses time and storage costs. Additionally, logical replication improvements allow companies to replicate only the necessary data, reducing resource consumption.

This update is a must-read for organizations looking to enhance PostgreSQL’s performance and scalability without requiring a full infrastructure overhaul.

Get the full details: Upgrade to PostgreSQL 17: Key Features You Should Know

Elastic Stack: Manage 60,000 Logs Per Second with Real-Time Insights

Handling high volumes of log data can overwhelm traditional systems. Elastic Stack empowers businesses to manage up to 60,000 logs per second in real-time, making it easier to spot issues before they escalate. One of our featured case studies showed how a payment solution company reduced incident response times by 30%, leading to better uptime and more efficient operations. Elastic Stack’s real-time capabilities enable businesses to scale without sacrificing speed or reliability.

Read how it works: From Chaos to Control: How a Payment Solution Company Transformed Log Management with Elastic Stack

PostgreSQL Optimization: Boost Performance by 40% with Database Splitting

Performance bottlenecks in PostgreSQL can disrupt operations, especially for large-scale environments. By adopting a database-splitting strategy, one customer reduced CPU usage by 40%, improving query performance and resource management. This simple yet powerful approach significantly reduced operational strain and allowed the business to improve response times while managing heavy workloads more efficiently.

This article is especially valuable for businesses dealing with high data traffic and performance issues, offering an immediate solution to optimize existing PostgreSQL environments.

Unlock better performance: Transforming PostgreSQL Database Management: A Customer-Centric Journey

MongoDB Migration: Cut Operational Costs by 50% and Scale Quickly

Traditional relational databases can’t always keep up with the demands of modern businesses. This year, our top-performing article on MongoDB migration showcased how a company cut 50% of its operational costs by switching from Oracle to MongoDB. MongoDB’s document-oriented model enabled the company to scale rapidly without downtime, adapting to changing business needs faster than ever before. This case demonstrates how businesses can achieve significant cost savings while gaining flexibility.

Learn how MongoDB can scale your business: The Database Migration Adventure: Oracle to MongoDB with Studio 3T

ML-Driven AWS Cost Optimization: Save 15-20% on Cloud Costs with Machine Learning

Cloud costs are a major concern, but machine learning can help businesses optimize AWS usage. In this article, we demonstrated how a financial institution saved 15-20% on AWS costs by analyzing Cost and Usage Reports (CUR) using machine learning. This allowed them to identify underutilized resources, optimize EC2 instances, and reduce unnecessary spending. The predictive analytics used in the process also enabled the business to forecast trends and adjust cloud resources in real-time, preventing overspending.

This is essential reading for businesses looking to take control of their cloud spend with data-driven insights.

Start saving on cloud costs: Getting FinOps Insight Using ML on AWS CUR Report

Empowering Businesses with Open Source Solutions

The technologies explored are empowering businesses to optimize performance, scale seamlessly, and drive significant cost efficiencies with open-source solutions. At Ashnik, we specialize in delivering open-source solutions that drive performance, flexibility, and cost savings.

Stay ahead of the curve with the latest open-source insights by subscribing to The Ashnik Times – your go-to resource for valuable trends and practical solutions.

Subscribe Now: https://www.ashnik.com/monthly-newsletter/