Logs, Metrics, and Traces: Making Sense of the Observability Buzzword The tech industry sometimes becomes fascinated by a fresh buzzword every so often, and at the moment it is observability that is having a dominant influence. If you spend a sufficient amount of time going through the way vendors market their products, you might come […]
Why a GKE Ingress can look fine in kubectl and still have no IP — and how that differs from EKS and ALB If you have used EKS, HTTP Ingress usually means an Application Load Balancer. Someone installs the AWS Load Balancer Controller, you set ingressClassName: alb, and AWS creates an ALB. Certificates often come […]
Introduction This blog provides step-by-step instructions to implement centralised AWS Backup across an AWS Organisation using Terraform. Backup policies are managed from a dedicated DevOps Tooling account using Delegated Administration. A CloudFormation StackSet automatically deploys the required IAM role and backup vault to all member accounts. Org-level backup policies are attached to the Production and […]
The Problem Every team eventually hits the same failure mode: a new build goes out, the application starts, and it immediately breaks because a required schema change wasn’t applied first. Maybe someone forgot to run the SQL script. Maybe it ran against the wrong environment. Maybe it ran after the app already tried to query […]
As your data grows and your user base expands, your Amazon Redshift cluster faces increasing demands from concurrent queries. Without proper management, this can lead to performance bottlenecks, longer query times, and frustrated users. Fortunately, Amazon Redshift offers a feature called Concurrency Scaling to address exactly this problem. This post covers what it is, how […]
Introduction Running workloads on Azure without a monitoring strategy means flying blind. Teams may discover problems only after users report them, while troubleshooting becomes a manual hunt across scattered logs and there is no single place to understand how infrastructure and applications are performing. This is where Azure Monitor helps. It provides a centralized monitoring […]
AWS re:Invent-style announcements come and go, but every so often one lands directly on the desk of the people who get paged at 2 AM. AWS DevOps Agent is one of those. It’s an AI-powered, always-on agent built to sit across two halves of the software delivery lifecycle that usually live in separate tools and […]
There’s a pattern that shows up almost every time an organization scales generative AI workloads on Amazon Bedrock past a single team: at some point, someone asks a simple question — “which service spent what, on which model, last month?” — and nobody can answer it with real confidence. Not because the data is missing. […]
Introduction A change request starts as a single Jira ticket. Hours later it’s live in production, coded, reviewed, and documented, with almost none of the usual back-and-forth in between. That’s the shift AI agents are bringing to DevOps and platform engineering teams. An AI agent, in this context, is a software assistant that understands context […]
