Terraform state locking with S3 and DynamoDB explained

Introduction 

When managing infrastructure-as-code using Terraform, the state file is a key component, as it keeps track of what resources are associated with your configuration and how they are configured relative to one another. Teams will suffer from corrupted state and conflicting updates if they are left on their own to store and coordinate state.As teams compete for overall dominance, resources are neglected.  Continue reading “Terraform state locking with S3 and DynamoDB explained”

A Complete Traffic Flow Guide to Using Kong Gateway in Kubernetes

Introduction

In today’s cloud-native ecosystem, managing API traffic efficiently is crucial for application performance and security. As organizations migrate to microservices architectures on Kubernetes, the need for a robust API Gateway becomes paramount. Enter Kong Gateway — a powerful solution that acts as the intelligent traffic director for your Kubernetes cluster.

Having worked with multiple API gateway solutions in production environments, I’ve found Kong Gateway to be exceptionally well-suited for Kubernetes deployments. In this comprehensive guide, I’ll walk you through how Kong Gateway orchestrates traffic flow within a Kubernetes cluster, using a real-world Grafana deployment as our example. Continue reading “A Complete Traffic Flow Guide to Using Kong Gateway in Kubernetes”

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”

Cloud Red Teaming – Simulating Attacks with Open-Source Tools

What if your cloud environment isn’t as secure as you think? As businesses rush to the cloud, attackers follow exploiting misconfigurations, weak access controls, and hidden vulnerabilities. Cloud red teaming flips the script, letting you simulate real-world attacks before hackers do. But how? With open-source tools, you can safely test defenses, uncover gaps, and stay ahead. 

Ready to see if your cloud can withstand the storm? Let’s dive in. 

Continue reading “Cloud Red Teaming – Simulating Attacks with Open-Source Tools”

5 Critical Vulnerabilities in Cloud Deployments and How to Fix Them

The cloud has become the backbone of modern businesses, but with great power comes great responsibility. Despite its advantages, cloud environments often hide critical vulnerabilities that cybercriminals are eager to exploit. From misconfigurations to data leaks, the risks can be catastrophic if left unchecked. A recent report revealed that over 40% of data breaches originate from cloud misconfigurations alone. 

In this blog, we’ll explore the 5 most critical vulnerabilities in cloud deployments and provide simple yet effective strategies to fix them. Let’s ensure your cloud infrastructure stays secure while delivering the agility your business needs. 

Continue reading “5 Critical Vulnerabilities in Cloud Deployments and How to Fix Them”