Tag: technical blog

How Fintech Companies Can Reduce MTTR by 90% with Unified Observability

Every second of downtime can mean lost revenue, eroded customer trust and potential regulatory risks. For businesses built on digital transactions, reliability is the foundation of brand credibility. That’s why leading FinTech enterprises are turning to unified observability – an integrated, insight-driven approach that dramatically reduces MTTR (Mean Time to Recovery) and ensures systems stay resilient in real time. 

Unified observability is a strategic enabler for digital performance and operational excellence. By transforming how FinTech organizations monitor, detect and resolve incidents, it helps them achieve up to 90% faster recovery times – a game changing leap in service reliability and customer experience.  Continue reading “How Fintech Companies Can Reduce MTTR by 90% with Unified Observability”

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”

Complete Case Study On The AWS and Azure Outages Of October 2025

October 2025 is still tough in cloud computing, as Amazon Web Services and Microsoft Azure two major cloud providers experience a massive outage, affecting a multimillion userbase, and who knows how many systems worldwide. Not only do these massive outages expose the fickle and brittle nature of the increasingly well-connected global cloud infrastructures, they also reiterate the cloud’s complexity and demand for solid development and infrastructure oversight. In this article, we break down both outage incidents including the timing, the technical cause of the incidents, overview of the service impact, and much-needed lessons for cloud architects and DevOps dots. Continue reading “Complete Case Study On The AWS and Azure Outages Of October 2025”

Building a High-Availability Ingress Solution with Envoy Proxy on Kubernetes

Moving from External Load Balancer to Cloud-Native Architecture

The Challenge

In on-premise Kubernetes deployments, achieving high availability for ingress traffic often relies on external load balancers running on dedicated VMs. While functional, this approach creates single points of failure, adds operational complexity, and wastes valuable infrastructure resources.

In this guide, I’ll walk you through migrating from an external Envoy load balancer to a fully integrated, Kubernetes-native solution using DaemonSet deployments, Keepalived for VIP management, and host networking for optimal performance. Continue reading “Building a High-Availability Ingress Solution with Envoy Proxy on Kubernetes”

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”