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Security, AI, Data & Production Engineering

Practical guides, free courses, labs, and references for engineers building secure production systems.

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Practical Engineering

Learn Cloud Native Security Through Practical Engineering

Understand production security systems through hands-on labs, annotated architecture diagrams, real infrastructure examples, and step-by-step deployments — not abstract theory or marketing copy. Every concept you learn here is built, broken, and rebuilt against the same systems used by teams running Kubernetes in production today.

Hands-On Kubernetes Security Labs

Spin up real clusters, deploy SPIRE agents, federate trust domains, write Rego policies, and break workload identity yourself. Every lab ships with manifests, troubleshooting steps, and verified outputs — so you can reproduce production behavior on a laptop.

Try the SPIFFE/SPIRE labs

Production-Grade Security Architectures

Walk through the architecture of multi-cluster identity federation, sidecar-injected mTLS, OPA policy enforcement, and supply-chain signing flows. Each architecture is dissected layer by layer, with the trade-offs and failure modes that only show up at scale.

Study production architectures

Real-World Cloud Native Threat Modeling

Map attacks against Kubernetes API servers, sidecar containers, service mesh control planes, and the supply chain. Each threat model is grounded in real CVEs, real post-mortems, and the controls (Falco, OPA, image signing) that contain them.

Explore threat modeling
100% Free · Open Curriculum

Production Courses for Security, AI & Data Engineering

Five complete, free curriculums covering 73 modules and 145+ labs or inline exercises. Each course is built around production thinking: annotated configs, practical diagrams, guided labs, and the diagnostic workflow engineers use when systems fail.

Free13 Modules30 Labs

Master SPIFFE & SPIRE for Workload Identity

Deploy SPIRE on Kubernetes, attest workloads, issue X.509 and JWT SVIDs, and federate trust across clusters and clouds.

Start the SPIFFE/SPIRE course
Free16 Modules32 Labs

Secure Kubernetes Workloads in Production

Harden PodSecurity, RBAC, network policy, runtime detection, signed images, and supply-chain controls as one production workflow.

Open the Kubernetes track
Free16 Modules31 Labs

Engineer Production RAG Systems

Build reliable AI retrieval with ingestion, embeddings, hybrid search, reranking, evaluation, observability, security, and deployment.

Start the RAG course
Free16 ModulesInline Labs

Build Trusted Analytics with dbt

Model staging layers, marts, tests, freshness, metrics, MetricFlow, lineage, CI/CD, and data incident debugging.

Start the analytics course
Topical Coverage

Cloud Native Security Topics You'll Learn

A curated map of the security disciplines that define modern infrastructure engineering — covered in depth across courses, articles, diagrams, and labs. Each topic is taught from first principles, then connected to the production systems and CNCF projects that implement it.

Kubernetes Security & Runtime Protection

Lock down PodSecurity standards, enforce least-privilege RBAC, isolate workloads with network policies, and detect compromise in real time using Falco and eBPF. Understand the attack surface of the API server, kubelet, and etcd — then close it.

Explore runtime security

Service Mesh, mTLS & Secure Networking

Compare sidecar versus ambient meshes, bootstrap mTLS with SPIFFE-issued SVIDs, and engineer pod-to-pod authentication that survives upgrades. Trace a request from one workload to another, byte by byte, with full cryptographic context.

Learn service mesh security

OPA, Policy-as-Code & Authorization

Express security and compliance policy as versioned Rego, evaluate it at admission time, and enforce it across Kubernetes, microservices, CI/CD, and Terraform. Replace ad-hoc YAML rules with a single, testable policy plane.

Adopt policy-as-code

Supply Chain Security & Secure CI/CD

Sign artifacts with Sigstore, generate SBOMs, verify provenance with SLSA levels, and gate deployments on cryptographic attestations. Stop dependency-confusion and build-system attacks at the pipeline, not in production.

Secure your supply chain

API Security & Machine Identity

Authenticate APIs with workload identity instead of long-lived secrets, rotate credentials cryptographically, and design machine-to-machine flows that scale to thousands of services without OAuth client soup.

Design machine identity
Learning Paths

Beginner-Friendly Learning Paths for Modern Infrastructure Security

Start with first principles, progress to production. Whether you're new to Kubernetes or refining your cloud-native security expertise, every learning path on CodersSecret is structured around visual explanations, annotated diagrams, and reproducible labs — so each concept lands before the next one builds on it.

Step-by-Step Visual Explanations

Every complex concept — from SVID rotation to admission webhooks — is broken into ordered, visual steps. No assumed prerequisites. No paragraphs of dense theory before you see a single diagram.

Architecture Diagrams & Security Flows

SVG architecture diagrams showing exactly how the kube-apiserver authenticates a workload, how SPIRE issues an SVID, how an mTLS handshake completes — rendered fast, scaled crisply, designed for engineers who think in components.

Hands-On Labs & Real Deployment Examples

Reproducible labs with full YAML, kubectl commands, expected outputs, and rollback steps. You won't just watch concepts — you'll deploy them, break them, and rebuild them on a real cluster.

Latest Articles

Fresh insights and tutorials

For Engineers Shipping in Production

Designed for Backend Engineers, Platform Engineers & DevOps Teams

CodersSecret is built for the engineers who own production: the people writing the services, running the clusters, and on the pager when something breaks. Every course, lab, and architecture diagram is designed to be immediately useful in real systems — not just academic.

Production Security for Modern Applications

From REST APIs and gRPC services to event-driven systems and ML pipelines — ship them with workload identity, mTLS, and policy enforcement baked in from day one.

Secure Service-to-Service Communication

Replace shared secrets, static API keys, and trust-by-IP with cryptographic, short-lived workload identities that survive auto-scaling, restarts, and multi-cluster failover.

Identity-First Cloud Native Systems

Treat identity as the foundational primitive — ahead of network, ahead of permissions — so every authorization decision has a verifiable subject behind it.

Why It Matters

Why Cloud Native Security Matters

The infrastructure model has changed. The security model has to change with it.

Traditional Security No Longer Works

The classic security model was built around a perimeter: a corporate network, a DMZ, a handful of servers, and a firewall in front of all of it. Cloud native infrastructure has dissolved that perimeter. Workloads spin up and down in seconds, run across clouds and clusters, talk to each other over the public internet, and frequently belong to ephemeral identities that didn't exist five minutes ago. Network location is no longer a meaningful security signal — and any system still relying on "trust the IP range" is structurally broken in this environment.

The Rise of Workload Identity & Zero Trust

The replacement for network-based trust is workload identity: every service, container, and function gets a cryptographically verifiable identity, refreshed continuously, attested by the underlying platform. Combined with Zero Trust principles — never trust, always verify, assume breach — this lets us build distributed systems where every authorization decision is based on who the workload is, not where it sits on the network. CNCF projects like SPIFFE and SPIRE make this practical and portable across clouds.

Securing Kubernetes & Distributed Systems at Scale

Kubernetes is now the substrate that runs most modern infrastructure, which means its attack surface — the API server, kubelet, etcd, container runtime, networking, supply chain — is the attack surface of the modern software industry. Securing it requires fluency in admission control, RBAC, runtime detection, mTLS, signed artifacts, and policy-as-code. CodersSecret exists to teach those disciplines together, with the same depth that production engineering teams need to actually deploy them — not as isolated tools, but as a coherent cloud native security architecture.

Built for Engineers, by an Engineer

Real production knowledge, not surface-level tutorials. Every article is written from hands-on experience and tested against real-world systems.

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246+
Topics Covered
86
Slide Tutorials
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Frequently Asked Questions

Common questions about CodersSecret and our content

What is cloud native security?
Cloud native security is the discipline of securing applications and infrastructure that are designed to run in dynamic, containerized, distributed environments — primarily on Kubernetes and across multiple clouds. It replaces perimeter-based controls with identity-based controls, defense-in-depth across the whole stack (image → container → pod → cluster → mesh), and policy that travels with the workload. Core building blocks include workload identity, mTLS, OPA policy enforcement, supply-chain signing, and runtime detection. Learn it end-to-end in the Cloud Native Security Engineering course.
What is workload identity?
Workload identity is a cryptographically verifiable identifier that names a piece of software — a container, a Pod, a Lambda, a VM — instead of a human or an IP address. Instead of long-lived API keys or shared secrets, the workload presents a short-lived, attested credential (such as a SPIFFE SVID) that other services can verify. This eliminates secret-sprawl, makes auto-rotation trivial, and is the foundation of Zero Trust service-to-service authentication. See the workload identity glossary entry for a deeper definition.
What is SPIFFE and SPIRE?
SPIFFE (Secure Production Identity Framework For Everyone) is a CNCF specification that defines a universal format for workload identity — the SPIFFE ID and the SVID (SPIFFE Verifiable Identity Document, in either X.509 or JWT form). SPIRE is the reference implementation: a SPIRE Server issues SVIDs after a SPIRE Agent attests the workload using node and workload selectors. Together they let services prove who they are across clusters and clouds without relying on shared secrets. The Mastering SPIFFE & SPIRE course walks through deploying both on Kubernetes from scratch.
Why is Kubernetes security important?
Kubernetes is the substrate that runs most modern infrastructure, which makes its attack surface — the API server, kubelet, etcd, container runtime, network plugins, and the supply chain feeding all of them — the attack surface of the modern software industry. A misconfigured RBAC binding, an unsigned container image, or a privileged sidecar can all turn into full cluster compromise. Securing Kubernetes requires fluency in admission control, PodSecurity standards, network policies, runtime detection (Falco / eBPF), and policy-as-code (OPA). The Kubernetes Runtime Security guide covers the full picture.
What is Zero Trust architecture?
Zero Trust is a security model that drops the assumption of a trusted internal network. Instead of granting access based on network location, every request is authenticated, authorized, and encrypted — with policy decisions made at request time using the workload's identity, posture, and context. In cloud native systems this typically means SPIFFE-issued workload identity for the "who," mTLS for the channel, and OPA / Rego for the "what they're allowed to do." See the Zero Trust glossary entry and the Zero Trust for Kubernetes guide.
How do service-to-service authentication systems work?
Modern service-to-service authentication replaces shared API keys with short-lived, cryptographic identities. The flow generally looks like this: (1) the workload starts up and connects to a local identity provider (e.g. SPIRE Agent); (2) the agent attests the workload using selectors such as Kubernetes namespace, service account, and image hash; (3) the workload receives an SVID (X.509 cert or JWT); (4) when calling another service it presents the SVID over mTLS or in an Authorization header; (5) the receiving service validates the SVID against the trust bundle and applies authorization policy (often OPA). The Secure Service-to-Service Communication guide walks through a full reference implementation.
Are the courses and tutorials free?
Yes. Every course, every module, every lab, and every article on CodersSecret is 100% free and ad-free. There's no paywall, no signup wall, and no tracking beyond anonymous analytics. The site is open source and maintained by the author.
Who writes the content?
All content is written by Vishal Anand, a Senior Product Engineer and Tech Lead with hands-on experience building production systems at scale. Every course, lab, and architecture diagram is grounded in real engineering practice rather than textbook theory.
What is the "Watch as Slides" feature?
Every tutorial on CodersSecret can be watched as an auto-narrated slide presentation — like a YouTube video, but 20× lighter on bandwidth. Each slide focuses on the key visual, while a narrator explains the details. You can pick your preferred voice, adjust speed (0.75×–1.5×), toggle auto-advance, and read the full narrator script. Perfect for learners who prefer watching over reading or who need a distraction-free focus mode. Try the slide demo.
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We use only Google Analytics for anonymous page views. No advertising cookies, no tracking pixels, no user accounts required. Comments use GitHub Discussions (only loads if you choose to comment). Read the full privacy policy.

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