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DevOps

I've worked as a DevOps engineer on projects where I improved uptime from 90% to 99.78% and cut average page load times from 7.5 to 1.2 seconds. I know what it means when infrastructure works, and I know what needs to be done when it doesn't. I work with Kubernetes, Docker, Terraform, GitLab CI, and GitHub Actions.

Let's take a look at your infrastructure

Sound familiar?

01

Deployments are manual, slow, and sometimes bring down production

02

You learn about problems from users, not from your systems

03

Infrastructure was set up 'somehow' and nobody fully understands it

04

Scaling is manual and reactive, always a step too late

What it looks like in practice

01

Audit of existing infrastructure: what works, what doesn't, what's likely to break next, with specific findings, not generic recommendations

02

Infrastructure as Code: everything documented, repeatable, versioned (Terraform, Ansible)

03

A CI/CD pipeline that automatically tests and deploys code. Merge to main, production updates, no manual steps, no SSH-ing into servers

04

Monitoring and alerting that notifies you before users notice something is wrong (Prometheus, Grafana, Loki), and that doesn't send false alarms every hour

05

Documentation and knowledge transfer to your team, so you don't depend on me

What this means for you

Deployments without stress or downtime, yes, even on Friday afternoons

Proactive monitoring. You know about problems before users do

Infrastructure written in code: repeatable, understandable, versioned. Someone who didn't set it up can still follow it

From commit to production in minutes, with no manual steps

Sound like something you need?

Let's take a look at your infrastructure