0 tutorials · 41 guides
Design multi-service applications on an App Platform with public/private services, workers, scheduled jobs, databases, persistent state, domains, and independent scaling.
Plan production MongoDB with replica sets, elections, write concern, read scaling, private networking, backups, and sharding only when measured limits justify it.
Compare production deployment strategies for SaaS apps: in-place, rolling, blue-green, canary, health gates, rollback, capacity, and database compatibility.
Learn when SaaS apps need background workers and task queues, including retries, idempotency, dead-letter jobs, worker sizing, scaling, and monitoring.
Plan SaaS architecture from a single VM to separated databases, state, storage, multiple app nodes, private networking, deployment, and recovery.
Evaluate VPS application hosting by workload, resources, state, background jobs, recovery, scaling, and when one VM or another platform fits.
Learn when to separate app and database servers for SaaS, compare managed vs self-hosted paths, and plan networking, recovery, cost, and migration.
Compare MySQL, PostgreSQL, and MongoDB by data model, ecosystem, performance, scaling, and operations to narrow a three-engine database decision.
Run Docker on a cloud VM with a clear production model for security, networking, storage, monitoring, and recovery.
Learn when platform engineering for startups pays off, what to standardize first, how to evaluate golden paths, and when an internal developer platform is justified.
Compare public vs private networks in cloud infrastructure, including private networking, VPCs, NAT, DNS, databases, admin access, and security boundaries.
Compare Docker vs virtual machines across isolation, performance, security, portability, Docker on a VM, and when an app platform is simpler than managing a server.
Learn high availability vs disaster recovery, how HA reduces interruption, how DR restores service, and how RTO, RPO, failover, and restore testing fit together.
Decide when a small SaaS should use one database or multiple databases across workloads, services, tenants, recovery boundaries, and managed database roles.
Compare MongoDB vs PostgreSQL across data modeling, JSON, transactions, performance, scaling, and operations to choose the database that fits your application.
Compare MongoDB vs MySQL across data model, performance, transactions, JSON, scaling, use cases, migration, and operations to choose the right database.
Design VPC architecture for multi-VM applications: private network isolation, CIDR planning, routing, NAT, DNS, service rules, VPN connectivity, and recovery.
Learn what S3-compatible storage is, the best object storage use cases for developers, when to use block storage instead, and what S3 compatibility does not guarantee.
Compare horizontal vs vertical scaling and scale up vs scale out for cloud applications, including examples, state, databases, availability, and operational trade-offs.
Choose a U.S. cloud server by evaluating real latency, data residency, compliance evidence, security boundaries, recovery requirements, and current Raff us-east capabilities.
Learn when to add block storage instead of resizing a VM disk, including databases, Docker data, object storage, recovery boundaries, and cost.
Learn when block storage fits databases, Docker containers, and stateful app data, including independent scaling, persistence, backups, recovery, and when object storage or managed databases are a better fit.
Compare cloud block storage vs local disk by lifecycle, databases, containers, scaling, performance, backups, and when a separate persistent volume is worth using.
Learn load balancing: L4 vs L7, health checks, connection draining, failover, state, TLS, private backends, and when multi-node applications need traffic distribution.
Plan VM storage for production apps: what belongs on the system disk, when to use block volumes or object storage, and how to reduce recovery risk.
Compare SQL vs NoSQL across relational, document, and key-value models, including data modeling, performance, scaling, SaaS use cases, and operations.
Compare shared vs per-client Kubernetes clusters for MSPs across isolation, admin access, blast radius, lifecycle, chargeback, and operations.
Compare microservices vs monolith for small teams, including modular monoliths, scaling, ownership, data boundaries, operational cost, and migration signals.
Compare object storage vs block storage by access model, databases, uploads, containers, performance, scaling, recovery, and when VM disk or file storage fits better.
How does a VPS work? Learn how virtualization creates isolated servers, how CPU, RAM, storage and networking are assigned, and what the customer manages.
Compare reverse proxies and load balancers across Nginx, L4/L7 routing, TLS, health checks, state, private backends, failover, and multi-node architecture.
Design cloud storage architecture for production apps using VM disks, block storage, object storage, databases, backups, RPO/RTO, and tested recovery paths.
Compare serverless functions vs VMs for small teams: workload fit, cost shape, state, scaling, operations, recovery, and when a mixed architecture works best.
Compare container images vs VM images for deployment, security, updates, rollback, portability, and small-team infrastructure decisions.
Decide when a SaaS app should stay on one VM or separate its application, database, workers, files, cache, and traffic routing across multiple systems.
Compare blue-green vs rolling deployments by rollback speed, mixed-version compatibility, zero-downtime risks, temporary capacity, database migrations, and release safety.
Compare IPv4, IPv6, and dual-stack networking for cloud servers, including DNS, firewalls, application binding, monitoring, and migration planning.
Docker Compose vs Kubernetes for small teams: compare production fit, migration triggers, operational cost, readiness, and a staged Raff infrastructure path.
Stateful vs stateless explained with application examples, architecture, load balancing, sessions, databases, scaling, deployment, and recovery trade-offs.
Compare single server vs multi-server architecture, including when to split databases and workers, when to add app nodes, and when scaling up is still the simpler choice.
Compare staging vs production vs development environments: purpose, data, secrets, release gates, parity, preview environments, cost, and hosting.
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