Linux automation
Linux Automation for Delivery Teams
Shell-to-systemd workflows, package baselines, and idempotent configuration patterns for release engineers.
// field_note
> The GitOps with Argo CD Patterns cohort killed our ‘kubectl hotfix’ habit before it reached production. The drift lab felt like our last outage, but safer.
Thao — infra engineer, SaaS billing squad
Hero base stays readable even if the overlay image fails—grid gradient remains underneath.
// signal_metrics
112
Cohorts facilitated
since 2019
18h
Median mentor response
weekdays
99.2%
Lab uptime target
rolling quarter
37
Partner org touchpoints
across VN + SG
EN + VI
Languages supported
materials primarily EN
Satisfaction snapshots vary by survey channel—ask admissions for the latest breakdown.
We optimize for traceable diffs, not slide decks. Each bullet below maps to something reviewers can click.
Every exercise maps to a change record you could file tomorrow—no abstract homework.
Short bursts of hands-on work with mentor sign-off on probes, limits, and trace fields.
Office hours at 466 Hong Bang Street for learners who want whiteboard time between async modules.
Five beats, not a perfect circle diagram. Each beat ends with an artifact you can paste into Confluence if you must.
We review your stack context and pick a lab track that matches your release maturity.
You ship incremental changes with review comments anchored to real pipeline files.
Mentors challenge blast radius, rollback paths, and telemetry gaps in a 90-minute session.
You leave with checklists, dashboards stubs, and comms templates your team can reuse.
Two async check-ins help you apply the playbook inside your employer constraints.
// catalog_slice
Linux automation
Shell-to-systemd workflows, package baselines, and idempotent configuration patterns for release engineers.
CI/CD pipelines
Reusable workflows, environment promotion, and artifact hygiene for teams standardizing on GitHub.
Containers
Image contracts, workload identities, and pragmatic kubectl workflows without YAML soup.
Observability
Trace, metrics, and log contracts that survive on-call rotations and vendor changes.
Khoa · Release technician
Linux Automation for Delivery Teams made systemd timers click. I stopped masking failures with cron retries; the mentor markup on my unit file was blunt and useful.
Mai · Da Nang
Short, sharp. Observability Handoffs forced us to name log fields before we touched Grafana.
Client in logistics software
Their CI/CD Pipelines with GitHub Actions module exposed a cache issue we had ignored for months.
Hien · 4.8 out of 5 · client survey
Not magic—just disciplined YAML reviews. Still exactly what our retail squad needed.
We will send reading prerequisites and hardware notes for the next Surge Blaze DevOps Academy intake—no payment links inside.
Surge Blaze DevOps Academy · Ho Chi Minh City