DevOps

The operating system every server runs.

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   Processes, signals and systemd

   Start, stop and supervise programs, and what happens on kill -9.

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   Files, users and permissions

   Who can read, write and run what, and why chmod 777 is a bad fix.

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   Coming soon

   Shell scripting and pipes

   Chain small commands into a script that does real work.

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   CPU, memory and disk

   Read top, free and df, and find what is slowing the machine down.

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   Coming soon

   Package management

   Install, pin and update software with apt, yum and friends.

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   SSH and remote access

   Keys, agents, jump hosts and logging in without passwords.

How traffic reaches your servers.

Already live in other tracks: DNS, TCP, TLS and HTTP: one request

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   IP addresses, subnets and CIDR

   What 10.0.0.0/16 means, and how to split a network into subnets.

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   Coming soon

   Ports, firewalls and security groups

   Open exactly the ports you need and block everything else.

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   DNS records in practice

   A, CNAME, MX and TXT records, TTLs, and why a DNS change takes time.

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   Reverse proxies in practice

   Put NGINX in front of an app: routing, headers and timeouts.

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   TLS certificates

   Issue, install and auto-renew certificates with Let's Encrypt.

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   VPCs, public and private subnets

   Keep databases off the internet and still let servers reach out.

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Working on the same code without stepping on each other.

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   How Git stores history

   Commits, trees and blobs: what a branch really is.

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   Trunk-based development vs GitFlow

   Short-lived branches or long release branches, and how each affects merges.

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   Pull requests and code review

   Small changes, required checks and review rules that keep main green.

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   Monorepo vs polyrepo

   One repository for everything, or one per service.

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   Semantic versioning and releases

   Version numbers, changelogs and tagging a release.

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Package an app with everything it needs.

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   Containers vs virtual machines

   Start a container, then boot a VM, and see what each one shares.

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   Images and layers

   How an image is built from layers, and why order in a Dockerfile matters.

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   Writing a good Dockerfile

   Build caching, multi-stage builds and small images.

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   Container networking

   Bridges, port mapping and containers finding each other by name.

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   Volumes and persistent data

   Keep data when the container is deleted.

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   Docker Compose

   Run an app, its database and its cache together with one file.

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   Container registries

   Push, pull, tag and clean up images.

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   Container security

   Scan images, run as non-root, and drop what the app doesn't need.

From a commit to production, automatically.

Already live in other tracks: GitHub Actions on every push, Blue-green and canary deployments, Feature flags

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   A CI/CD pipeline, stage by stage

   Break a test or a build and see where the pipeline stops.

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   Tests in the pipeline

   Which tests run on every commit, which run nightly, and why the order matters.

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   Build caching and artifacts

   Stop rebuilding what didn't change, and keep the exact build you ship.

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   Dev, staging, production and preview environments

   How many environments you need, and keeping them alike.

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   GitOps

   Git is the source of truth; a controller makes the cluster match it.

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   Software supply chain security

   Lock files, SBOMs, signed images and trusting what you deploy.

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Run containers across many machines.

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   Control plane, nodes and pods

   What each part of a cluster does, and what happens when you apply a manifest.

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   Deployments and ReplicaSets

   Declare how many copies you want and let Kubernetes keep it true.

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   Kubernetes rolling deploys

   Roll out a bad version and watch probes and rollback kick in.

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   Services and Ingress

   Give pods a stable address and route outside traffic to them.

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   ConfigMaps and Secrets

   Pass configuration and credentials to pods without rebuilding images.

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   Liveness, readiness and startup probes

   Tell Kubernetes when to restart a pod and when to send it traffic.

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   Requests, limits and OOM kills

   Reserve CPU and memory, and see what happens when a pod uses too much.

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   Horizontal pod autoscaling

   Add pods when CPU or queue length climbs.

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   StatefulSets and persistent volumes

   Run databases on Kubernetes: stable names and disks that follow the pod.

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    Helm and Kustomize

    Package and customize manifests for each environment.

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    Scheduling, taints and affinity

    Decide which pods land on which nodes.

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Servers and networks described in files.

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   Terraform: plan and apply

   Describe infrastructure, preview the change, then apply it.

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   State, locking and drift

   Where Terraform remembers what exists, and what happens when someone clicks in the console.

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   Modules and reuse

   Package a VPC or a database once and reuse it everywhere.

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   Configuration management with Ansible

   Configure many existing servers the same way, repeatably.

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   Immutable infrastructure

   Replace servers instead of patching them in place.

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   Policy as code

   Block risky changes automatically, like a public bucket or an open port.

Renting computers, storage and services.

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   IaaS, PaaS, SaaS and serverless

   How much you manage yourself at each level.

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   Regions and availability zones

   Spread across zones so one data center failing doesn't take you down.

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   VMs, containers or functions

   Pick where your code runs, by cost, control and scale.

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   Block, file and object storage

   Disks, shared drives and buckets, and when to use each.

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   Managed databases

   Let the provider run backups, failover and patches, and what you give up.

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   Cloud IAM: roles and policies

   Grant services and people exactly the access they need.

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   Serverless functions

   Cold starts, timeouts, concurrency limits and paying per call.

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   Cloud cost management

   See where the bill comes from and cut it: rightsizing, reserved and spot capacity.

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See what production is doing.

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   Structured logs and log aggregation

   JSON logs, shipped to one place, searchable by request ID.

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   Metrics with Prometheus

   Counters, gauges and histograms, scraped and queried.

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   Dashboards that answer questions

   The four golden signals: latency, traffic, errors and saturation.

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   Tracing with OpenTelemetry

   Instrument services once and send traces anywhere.

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   Alerts and on-call

   Page a person only when users are hurting, and route it to the right one.

Keeping production healthy as a practice.

Already live in other tracks: Availability and the nines, Failover, disaster recovery, RTO and RPO

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   SLIs, SLOs and error budgets

   Agree how reliable is reliable enough, and spend the rest on shipping.

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   Coming soon

   Runbooks

   Step-by-step fixes for known problems, written before 3 a.m.

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   Backups and restore drills

   A backup you have never restored is not a backup.

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   Toil and automation

   Find repetitive manual work and automate it away.

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   Load testing

   Find the breaking point before your users do.

Security built into the pipeline.

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   Secrets in pipelines and clusters

   Keep tokens out of logs and images, and rotate them safely.

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   Dependency and image scanning

   Find known vulnerabilities before they ship, and decide what to fix first.

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   Kubernetes network policies

   Only let the pods that need to talk, talk.

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   Audit trails and compliance

   Prove who changed what in production, for SOC 2 and similar audits.

Making the right way the easy way.

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   Internal developer platforms

   One place for teams to create services, deploy and see their status.

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   Golden paths and templates

   A ready-made starting point with CI, monitoring and security already wired in.

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   DORA metrics

   Deploy frequency, lead time, change failure rate and time to restore.

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Put the pieces together end to end.

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   Coming soon

   Ship an app from laptop to Kubernetes

   Containerize it, build it in CI, deploy it, and expose it with TLS.

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   A zero-downtime release

   Database migration plus a canary rollout, with a rollback plan.

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   Preview environments for every pull request

   Spin up a full copy of the app per PR and tear it down on merge.

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   Run an outage drill

   Kill a database at noon, follow the runbook, and write the postmortem.