Starting out
For first-line IT workers and career switchers. Build a working mental model, then practise each layer.
Learn how computers run services, how teams ship changes, and how to operate systems that can act. Start with the basics or jump straight to the sharp edge.
Choose your route
No assumed background. Learn the building blocks first, or skip to the operational problems that matter when you already run systems.
For first-line IT workers and career switchers. Build a working mental model, then practise each layer.
Skip the introductions. Use the sharper edge of the index for automation, evidence, policy and recovery.
Start with the job
Five entry points for the moments where an automated system needs evidence, boundaries or a safe way back.
Markdown workflows can investigate CI, update docs and open reviewable outputs. Read the permissions, safety and review model before granting write access.
docs.github.com
A shared naming and event model for model calls and agent workflows. Agree the telemetry shape before building dashboards or alerts.
github.com
A framework for increasing supply chain guarantees. Start with provenance and verification when an agent or pipeline can change the artifact.
slsa.dev
Policy-as-code that separates a decision from the service enforcing it. Put deployment, identity and network rules outside the agent.
openpolicyagent.org
Free books on monitoring, error budgets and incident learning. The operator loop starts by making symptoms, service objectives and recovery steps explicit.
sre.google
Five task-first starting points. Browse the full index for Kubernetes, GitOps, IaC and classic SRE material.
Explore the full libraryField notes
Short primary-source reading for building systems that can change things without becoming impossible to inspect or recover.
Read the permissions, safe-output and lock-file model before letting a coding agent investigate CI or open changes in a repository.
docs.github.com · GitHub documentation
A shared naming and event model for model calls and agent workflows. Agree the telemetry shape before building dashboards or alerts.
github.com · OpenTelemetry
A framework for increasing supply-chain guarantees. Start with provenance and verification when an agent or pipeline can change the artifact.
slsa.dev · SLSA specification
Sigstore's documentation for signing software and verifying who or what produced it, without turning key management into a second project.
docs.sigstore.dev · Sigstore documentation
OPA separates policy decisions from the services that enforce them. That boundary matters when an agent can propose or execute a change.
openpolicyagent.org · OPA documentation
The SRE chapter on latency, traffic, errors and saturation, and why symptoms are usually better alert targets than guessed causes.
sre.google · Google SRE Book
OpenSSF Scorecard turns common supply-chain controls into repeatable checks. Use the results to decide what an agent may safely touch.
scorecard.dev · OpenSSF Scorecard
The MCP specification defines the surface between a model and tools. Read the transport, lifecycle and security sections before wiring in real permissions.
modelcontextprotocol.io · MCP specification
The operator's loop
A small loop for systems where both code and agents can make changes.
Make the system explain itself before you add autonomy.
Put permissions, policy and provenance between intent and impact.
Assume the change will be wrong sometimes. Make rollback and learning cheap.
Editorial policy
A few rules keep this from becoming another link dump.
An agent adds a decision-maker to the delivery loop. That makes observability, permissions, provenance and recovery more important than another list of automation tools.
The index is static and hand-curated. It prefers upstream documentation, specifications and durable references, and intentionally avoids publishing fake update dates.
Pick the loop that matches the problem: Observe when you lack evidence, Constrain when automation can cause harm, or Recover when the failure path is unclear.
Some fundamentals outlast their tooling. A reference stays when it explains failure, trade-offs or an operating practice better than a newer product page.
No. It is a map for choosing the next useful source. Follow one path until you can apply it to a real service, then come back for the next gap.
There is no submission workflow yet. The list stays deliberately small until there is a useful way to review suggestions and keep links maintained.