Problem
Deployments, infrastructure drift, secrets, and alerts get painful when every service has its own snowflake path to production.
Aaron Mark · DevOps Engineer · Platform & Reliability
DevOps engineer focused on Kubernetes, Terraform, AWS, CI/CD, observability, and the automation glue that keeps production systems boring in the best possible way.
Open Source
A real contribution in the Jenkins ecosystem, focused on improving daily developer workflow inside Jenkins editor surfaces.
jenkinsci/editor-search-plugin
A modern find-in-editor widget for Jenkins code editors, built to bring keyboard-first search to Pipeline Replay, Script Console, CodeMirror, Ace, and Prism-backed code viewers.
hosted by
Jenkins
release
1.7.vb_ee4d18a_6c4d
license
MIT
language
JavaScript
Ctrl/Command-F search inside supported Jenkins editor surfaces
Next/previous match navigation with current-match and all-match highlighting
Match case, whole word, and regular-expression search modes
Dynamic loading support for first install without restarting Jenkins
Dark theme, Prism syntax highlighting, and Pipeline Replay selector compatibility
zero-cost serverless automation
A serverless smart-boiler controller built like production infrastructure: Terraform-managed AWS Lambda, EventBridge schedules, S3 state, weather-aware automation, religious calendar constraints, and logs you can actually debug.
0$
Monthly infra
0%
IaC managed
0m
Lambda runtime
0/7
Scheduled checks
Terraform First
Every AWS primitive defined, reviewed, and reproducible
Event-Driven
EventBridge schedules Lambda decisions without servers
Operationally Clear
State, logs, and decision paths kept easy to inspect
Stack
About
I work where software meets reality: clusters, pipelines, cloud accounts, secrets, DNS, observability, Linux boxes, and the strange production edge cases that only show up at 2 a.m. My day-to-day is Kubernetes, Terraform, AWS, GitLab CI, Python automation, Prometheus/Grafana, Vault, Docker, and the habits that make systems easier to operate. I care about calm deploys, clear runbooks, least privilege, useful alerts, and platform work that helps developers ship without needing to understand every sharp edge underneath.
0+
Years Platform Infra
0+
Core DevOps Tools
0.0%
Reliability Mindset
0/7
Production Context
Tech Stack
Orchestration
IaC
Cloud
Delivery
Observability
Automation
Security
Containers
Case Study
Platform reliability: From fragile deploys to repeatable delivery
Problem
Deployments, infrastructure drift, secrets, and alerts get painful when every service has its own snowflake path to production.
Solution
Standardize the platform: Terraform modules with remote state, Kubernetes workloads with clear ownership, GitLab/GitHub pipeline templates, sane observability, and Python automation for the repetitive operational glue.
Outcome
Teams get safer deploys, faster recovery, fewer mystery failures, and infrastructure changes that can be reviewed, repeated, rolled back, and explained.
DevOps Heatmap
A weighted map of the platform, infrastructure, and reliability work I spend the most time around.
Kubernetes
EKS · GKE · AKS · kubectl
Terraform / IaC
Terraform · Terragrunt · Terraform Cloud · modules
AWS
EC2 · S3 · IAM · VPC
CI/CD
GitLab CI · GitHub Actions · Jenkins · agents
Observability
Prometheus · Grafana · Alertmanager · OpenTelemetry
Python automation
Python · Click · Typer · FastAPI
Technical Expertise
The parts of the platform I can own: clusters, cloud, delivery, observability, automation, security, and the sharp edges between them.
Production clusters, workloads, networking, and storage.
Debugging scheduling, DNS, rollout, volume, resource, and service-discovery failures
Repeatable cloud infrastructure with reviewable plans.
Module design, state hygiene, drift control, environment promotion, and safer change review
Practical AWS architecture with operational clarity.
Networking, identity, compute, storage, and observability wired with least-surprise defaults
Pipelines that are fast, understandable, and hard to misuse.
Signals, alerts, and incident habits that reduce uncertainty.
The glue layer that keeps platforms operable.
Controls that protect delivery without freezing it.
Projects
Serverless smart water boiler controller for a solar-heated home. Reads weather data, scores the day with a custom solar efficiency algorithm, respects Shabbat and Yom Tov, and runs the electric backup for exactly the right number of minutes — at $0.00/month.
Self-hosted AI-powered code review platform designed for teams that care about risky changes before merge. Built and operated end-to-end with production-minded defaults.
Static-export portfolio with adaptive graphics gating, Three.js scenes, CI/CD, and performance safeguards so visual ambition does not wreck weaker machines.
Internal CLIs and scripts for repeatable cloud tasks: inventory, release checks, YAML validation, AWS lookups, drift triage, and operational shortcuts.
A production dashboard pattern for service health, saturation, deploy events, error budgets, and alert context across Prometheus/Grafana-style systems.
Reference pattern for Argo CD, Helm, Kustomize overlays, environment promotion, sync policies, drift detection, and cluster-safe rollouts.
Philosophy
Automate the boring path.
Make failure obvious.
Least privilege by default.
Dashboards must answer questions.
Runbooks beat heroics.
Simple platforms win.
FAQ
Reference
A compact drawer for the public profile, source links, and the infrastructure themes that show up across the work.
Discipline
DevOps / Platform
Focus
Kubernetes · AWS · Terraform
Location
Tel Aviv, Israel