Framer is my most loved web builder currently, which evolved from a UI and prototyping tool in 2020 into a nocode web builder in 2022. It has everything you will need to ship wonderful websites fast: CMS, custom design inside a canvas like in Figma, crazy good performance thanks to react and server-side rendering, advanced motion capabilities due to their own animation library Framer Motion and a growing amount of useful third-party integrations.

I use Grafana to visualise infrastructure and application performance, turning raw telemetry data into meaningful dashboards and alerts. It allows me to proactively monitor systems, identify trends, and troubleshoot issues before they impact users. I enjoy using Grafana for its flexibility and ability to integrate with data sources like Prometheus, which makes it ideal for maintaining high-performing environments. Whether I'm tracking service health, visualising metrics, or analysing system behaviour over time, Grafana helps me gain real-time insight and make data-informed decisions.

I use iTerm2 as my preferred terminal on macOS because it offers powerful features that streamline command-line work and improve productivity. I enjoy its split panes, session management, advanced search, and ability to customise workflows, especially when handling multiple environments or running simultaneous tasks. Whether I’m writing scripts, managing servers, or debugging infrastructure issues, iTerm2 gives me a fast, flexible, and highly configurable CLI experience that supports efficient engineering practices.

I use K9s to interact with Kubernetes clusters directly from the terminal, giving me a fast and efficient way to monitor workloads, inspect resources, and troubleshoot issues in real time. I like it because it streamlines cluster navigation without needing to constantly switch contexts or rely solely on the web UI. Whether reviewing pod health, checking logs, or managing deployments, K9s helps me stay close to the infrastructure and work more efficiently within containerised environments.

I use Lens as a visual interface to manage Kubernetes clusters more efficiently. It gives me real-time visibility into workloads, nodes, logs, and performance metrics, which makes troubleshooting and monitoring so much faster compared to working purely via CLI. I enjoy using Lens because it streamlines cluster management, helps me quickly spot issues, and improves operational awareness across environments. It’s an essential tool in my workflow for maintaining healthy Kubernetes deployments and optimising containerised infrastructure.

I use Prometheus to collect and store system and application metrics, enabling real-time monitoring and alerting. Its time-series database and powerful query language (PromQL) allow me to track performance trends, detect anomalies, and support incident response effectively. I value Prometheus for its reliability and native integration with Kubernetes and Grafana, making it ideal for observability in cloud and containerised environments. Whether monitoring resource utilisation, latency, or service health, Prometheus provides the foundation for data-driven operational insight.

I use Terraform to automate and manage infrastructure deployments in a consistent, scalable, and repeatable way. I enjoy working with it because it allows me to define infrastructure as code, making environments more predictable and easy to manage across teams. Whether I’m provisioning Azure resources, configuring cloud networking, or orchestrating multi-stage environments, Terraform helps me streamline deployment processes, minimise errors, and improve version control across infrastructure changes. It’s a key tool in my workflow for implementing modern DevOps practices and delivering reliable environments efficiently

I use Visual Studio Code as my primary development environment because it’s lightweight, highly customisable, and supports a wide range of programming languages and extensions. I enjoy using it to write scripts, automate tasks, troubleshoot infrastructure, and experiment with new technologies. With features like integrated terminals, Git control, and AI-assisted development tools, VS Code enables me to work efficiently and adapt my workflow depending on the project, whether it's PowerShell scripting, YAML configuration, or testing automation pipelines.