Airflow Executors Deep Dive: From Local to Kubernetes
How Airflow executors work under the hood. SequentialExecutor, LocalExecutor, CeleryExecutor, and KubernetesExecutor compared with migration paths.
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How Airflow executors work under the hood. SequentialExecutor, LocalExecutor, CeleryExecutor, and KubernetesExecutor compared with migration paths.
Run Airflow in production with Docker Compose, Helm on Kubernetes, or managed services. Covers monitoring, logging, security, and database backends.
Compare Docker Swarm and Kubernetes for container orchestration. Learn the architecture, setup, scaling, and networking of both platforms with practical examples.
Learn GitOps principles and deploy Kubernetes applications with ArgoCD. Covers installation, app configuration, sync policies, multi-environment setups, and rollbacks.
Master zero-downtime deployment strategies including rolling updates, blue-green, canary, and feature flags. Learn practical patterns for Kubernetes and cloud platforms.
Set up cert-manager in Kubernetes to automate TLS certificate provisioning with Let's Encrypt. Covers Issuers, Certificates, Ingress integration.
Reduce Kubernetes costs with right-sizing, autoscaling, spot instances, resource quotas, and monitoring. Practical strategies with real savings.
Learn Kustomize for Kubernetes config management. Covers overlays, patches, generators, and multi-environment deployments without templating.
Set up centralized Kubernetes logging with Fluent Bit, Elasticsearch, and Kibana. Covers DaemonSets, parsers, filters, and production tuning.
Learn the most popular CI/CD deployment strategies including blue-green, canary, and rolling deployments with practical examples and configuration.
Design health check endpoints that actually help. Covers liveness vs readiness, dependency checks, degraded states, and Kubernetes probe configuration.
Compare blue-green and canary deployment strategies with practical examples to choose the right zero-downtime release approach for your team.
A hands-on guide to implementing GitOps with ArgoCD: declarative deployments, sync policies, and multi-environment management.
Design effective Git repository structures and branching strategies for GitOps-driven Kubernetes deployments with Flux and Argo CD.
Master Kubernetes autoscaling using HPA for horizontal scaling, VPA for right-sizing, and KEDA for event-driven workloads.
Learn what a service mesh is, why Istio exists, and how to configure traffic management, observability, and mTLS for your microservices.
Learn how DaemonSets run exactly one pod per node for logging, monitoring, and networking agents. Includes tolerations and update strategies.
A practical guide to debugging pods, services, and deployments with kubectl. Covers logs, exec, describe, events, and ephemeral debug containers.
Organize workloads with Kubernetes namespaces. Learn resource quotas, limit ranges, RBAC scoping, and network policies for multi-tenant clusters.
Understand PersistentVolumes, PersistentVolumeClaims, and StorageClasses to give your Kubernetes workloads reliable, portable storage.
Control which pods can schedule on which nodes using Kubernetes taints and tolerations. Covers effects, use cases, and common pitfalls.
Lock down pod communication with Kubernetes NetworkPolicies. Learn ingress and egress rules, label selectors, and namespace isolation.
Set CPU and memory requests and limits correctly. Understand QoS classes, OOMKilled errors, and CPU throttling in Kubernetes.
Master zero-downtime deployments with Kubernetes rolling updates, rollback commands, and deployment strategies like blue-green and canary.
A practical guide to Kubernetes Horizontal Pod Autoscaling: HPA resources, metrics server setup, CPU and memory-based scaling, custom metrics, scaling behavior tuning, and production best practices.
A practical guide to Kubernetes Ingress: Ingress resources, NGINX Ingress Controller setup, TLS termination, path-based and host-based routing, annotations, and production configuration.
A deep dive into Kubernetes Pods and Services: pod lifecycle, multi-container patterns, init containers, probes, ClusterIP, NodePort, LoadBalancer, and service discovery.
A practical guide to Kubernetes RBAC: Roles, ClusterRoles, RoleBindings, ClusterRoleBindings, ServiceAccounts, and real-world patterns for securing cluster access.
A practical comparison of EKS, ECS, and Fargate covering control planes, pricing models, and when to choose each option for production container workloads.
Learn how to ship canary releases on Kubernetes using Flagger. Covers the control loop, metric analysis, traffic shifting, and how to roll back automatically when a release misbehaves.
How Pods, ReplicaSets, and Deployments relate, why you almost never create Pods directly, and how rolling updates and rollbacks actually happen.
A pragmatic comparison of Docker Compose and Kubernetes covering scope, operational cost, and the signals that tell you it is time to graduate.
A practical comparison of Docker Swarm and Kubernetes. Understand their mental models, where each shines, common pitfalls, and how to choose for your team.
How Kubernetes cluster upgrades drain nodes, how pod eviction works, and how PodDisruptionBudgets and graceful shutdown keep workloads safe during upgrades.
A practical walkthrough of ConfigMaps and Secrets in Kubernetes, including how to inject them as environment variables, mount as files, and rotate safely.
Learn what Helm charts are, how templates and values work together, and how to package your own application for repeatable, parameterized Kubernetes deployments.
Understand how HPA decides when to add or remove pods, the metrics it can scale on, and the tuning knobs that prevent flapping and runaway scaling.
Understand the three ways to expose a Kubernetes service to the outside world, the tradeoffs of each, and how to pick the right one for your workload.
Learn how Kubernetes init containers work, when to use them for setup tasks, and how to build robust pod initialization pipelines with real YAML examples.
Compare Kubernetes Jobs and CronJobs with real YAML, retry semantics, and the gotchas that turn a simple nightly task into a 3 AM page.
Understand how nodeAffinity and podAntiAffinity steer the scheduler, with real YAML, hard vs soft rules, and the performance traps to avoid.
How traffic actually flows in a Kubernetes cluster: the pod network, services, kube-proxy modes, and what a CNI plugin really does.
How CustomResourceDefinitions extend the Kubernetes API and how operators encode operational knowledge as controllers reconciling desired state.
Learn how PodDisruptionBudgets keep your service available during voluntary disruptions like node drains, with real YAML and the failure modes to watch.
A concise tour of Kubernetes RBAC: roles vs cluster roles, bindings, service accounts, and patterns that scale without becoming a permissions zoo.
Understand the difference between readiness and liveness probes in Kubernetes, when to use each, and how to configure them safely in production workloads.
What requests and limits really do, how they interact with the scheduler and the OOM killer, and how to set them without overpaying or getting throttled.
Practical patterns for managing Kubernetes Secrets safely: encryption at rest, external secret stores, RBAC scoping, rotation, and avoiding common leaks.