Lesson 1Observability stack: metrics, distributed tracin, structure loggin, SLOs an alertin designDesign an observability stack dat combine metrics, tracin, an structure logs wid SLOs an alerts, enablin fast incident detection, root-cause analysis, an continuous improvement of reliability an performance. See everytin clear like day.
Key metrics an RED/USE methodologiesDistributed tracin an trace samplinStructure loggin an correlation IDsSLOs, SLIs, an error budget policiesAlert design, routin, an runbooksLesson 2Designin a modular-monolith-first migration plan (bounded contexts, vertical slicin, API boundaries)Define a modular-monolith-first roadmap, usin bounded contexts, vertical slices, an clear API boundaries to reduce risk, enable parallel work, an prepare di codebase fi selective, low-friction extraction into services later. Break it down easy.
Identifyin domains an bounded contextsVertical slicin of features an workflowsDefinin internal an external API boundariesStrangler patterns inside a monolithGovernance fi shared libraries an modulesLesson 3Introducin AI features: capability scopin, model hostin, inference architecture, data governance an safety guardrailsScope AI capabilities, choose hostin an inference architectures, an define data governance an safety guardrails so AI features add value while respectin privacy, compliance, an reliability constraints. Use AI smart but safe.
Prioritizin AI use cases an ROIModel selection an hostin optionsOnline, batch, an streamin inferencePrompt, feature, an embeddin storesData governance, safety, an red-teaminLesson 4CI/CD an release engineerin: automated pipelines, environment promotion, an deployment strategies (blue-green, canary)Design CI/CD pipelines, environment promotion flows, an deployment strategies such as blue-green an canary, enablin frequent, low-risk releases wid strong controls, observability, an rollback mechanisms. Deploy widout drama.
Pipeline stages an quality gatesBuild artifacts an dependency hygieneEnvironment promotion an approvalsBlue-green an canary deploymentsProgressive delivery an rollbacksLesson 5Service decomposition criteria, interface patterns, an backward compatibility strategiesEstablish criteria fi splittin services, choose interface patterns, an design fi backward compatibility so teams can evolve contracts safely, avoid breakin changes, an support gradual client migration across releases. Keep old tings workin.
Business an technical drivers fi decompositionService size, cohesion, an couplin heuristicsSynchronous versus asynchronous interfacesVersionin an contract evolution patternsFeature flags an compatibility shimsLesson 6Automated testin strategy: unit, integration, contract testin, end-to-end testin, an test-data managementDefine an automated testin strategy dat balance unit, integration, contract, an end-to-end tests, wid robust test data management, to keep delivery fast while protectin reliability an enablin safe refactors. Test plenty but quick.
Test pyramid an coverage goalsUnit an component test practicesIntegration an contract testinEnd-to-end an nonfunctional testsTest data, fixtures, an environmentsLesson 7Data storage strategy: multi-tenant schema patterns, row/DB-per-tenant tradeoffs, an hybrid isolation criteriaDefine a data storage strategy fi multi-tenant systems, comparin shared schemas, row-per-tenant, an database-per-tenant models, an usin hybrid isolation to balance security, noisy neighbors, cost, an operational complexity. Store data right.
Tenant identification an routin designShared schema an row-per-tenant patternsDatabase-per-tenant pros an consHybrid isolation an tiered tenantsBackup, restore, an tenant migrationLesson 8Comparin architecture options: monolith, modular monolith, an incremental microservices migrationCompare monolith, modular monolith, an microservices options, an define an incremental migration path dat align wid team maturity, product risk, an scalin needs instead of followin trends blindly. Choose what fit yuh.
Monolith strengths, limits, an anti-patternsModular monolith design an governanceWhen microservices are justifiedIncremental extraction an coexistenceArchitecture decision records an reviewsLesson 9Cloud approach: multi-account/tenant isolation, region strategy, an cost/availability tradeoffsPlan a cloud architecture dat use accounts, regions, an isolation boundaries to manage tenants, resilience, an compliance while controllin cost, optimizin availability, an simplifyn operations an incident response. Cloud smart, nuh waste.
Multi-account patterns an guardrailsTenant isolation an blast radius limitsRegion selection an latency tradeoffsDisaster recovery an failover designCost allocation, taggin, an showback
