Tag: technical blog

Building a Reliable Cloud Data Storage Architecture for Big Data

Introduction 

As businesses continue to generate large amounts of data every day, it has become essential to establish a reliable cloud data storage architecture. Whether you’re working with analytics workloads, IoT data, or datasets for AI training, a thoughtfully designed cloud storage setup guarantees scalability, availability, and high performance while keeping costs and security under control. 

In this guide, we will discuss designing a cloud data storage architecture suitable for big data, its components, best practices, and cutting-edge technologies that are fueling data-driven innovation.  Continue reading “Building a Reliable Cloud Data Storage Architecture for Big Data”

A Practical Guide to Applying CIS Benchmarks for System Hardening

Introduction

In today’s world, where cyber threats keep evolving every day, system security is no longer optional – it’s a must. Many organizations depend on trusted frameworks to secure their infrastructure. One such framework is the CIS Benchmark, created by the Center for Internet Security (CIS).

CIS Benchmarks are detailed recommendations that help you configure operating systems, servers, databases, and applications securely. Whether you’re managing a Linux server or a Windows workstation, these benchmarks give you a clear checklist of what to configure and why it matters.

This blog explains what CIS Benchmarks are, why they’re important, when you should use them, and how they can improve your system security  with some real examples from implementation experience. Continue reading “A Practical Guide to Applying CIS Benchmarks for System Hardening”

The Ultimate Guide to Cloud Data Engineering with Azure, ADF, and Databricks

Introduction

In today’s data-driven world, organisations are constantly seeking better ways to collect, process, transform, and analyse vast volumes of data. The combination of Databricks, Azure Data Factory (ADF), and Microsoft Azure provides a powerful ecosystem to address modern data engineering challenges. This blog explores the core components and capabilities of these technologies while diving deeper into key technical considerations, including schema evolution using Delta Lake in Databricks, integration with Synapse Analytics, and schema drift handling in ADF. Continue reading “The Ultimate Guide to Cloud Data Engineering with Azure, ADF, and Databricks”

Complete Guide to Fixing PostgreSQL Performance with PgBouncer Connection Pooling

Several factors affect database performance, and one of the most critical is how efficiently your application manages database connections. When multiple clients connect to PostgreSQL simultaneously, creating a new
connection for each request can be resource-intensive and slow. This is where connection pooling comes into play. Connection pooling allows connections to be reused instead of creating a new one every time, reducing overhead and improving performance. In this blog, we’ll explore PgBouncer, a lightweight PostgreSQL connection pooler, and how to set it up for your environment. Continue reading “Complete Guide to Fixing PostgreSQL Performance with PgBouncer Connection Pooling”

Modern Tools to Close Security Gaps and Protect Your Infrastructure

Introduction

Today’s world of IT is changing at such a rapid pace, and security is not just another option, it’s necessary. Even small software loopholes can lead to the hackers having access to your data or installation of ransomware on your systems. Companies generally overlook stable images, unscanned endpoints, and infected servers as significant points of security loopholes in their network. To cover these openings in the fortress of network security, advanced security tools like CrowdStrike, Rapid7, OpenSCAP, and ClamAV team up to challenge the security breaches to achieve high success in the blocking, prevention, and response of threats. Continue reading “Modern Tools to Close Security Gaps and Protect Your Infrastructure”