😂3na he for take lawyer and things. How many lawyers go agree to work give upcoming artists for free till dem go blow. What the artist go chop seff he no get you say make he go take Esquire. Reality be different waaa
Make you people ask Ground Up what happened to the “Trenches Babies” squad.. they would push Artises to us to platform den we too we go do am cos we dey believe say dem dey help the boys… man crazy things dey happen
If anything happens to me, Glen Boateng[CEO] and all team members of Ground Up Chale are responsible... - Kwesi Arthur
#GHOneNews#EIBNetwork#GHOneTV#NewsAlert
our only mistake was being young. we saw you like a big brother. awarded you ultimate respect and we listened to every advice u gave.
u can never make me see u as the victim.
40 concepts to master Modern Backend Engineering:
1. System Design Fundamentals: Load balancing, replication, and fault tolerance.
2. API Design: RESTful principles, GraphQL schemas, and gRPC/protobuf.
3. API Versioning Strategies: URL, header, and media type versioning.
4. Authentication & Authorization: JWT, OAuth 2.0, OpenID Connect, and RBAC/ABAC.
5. Database Design & Modeling: Relational normalization and NoSQL schema patterns.
6. SQL Mastery: Complex queries, indexing strategies, and query optimization.
7. NoSQL Databases: Document (MongoDB), Key-Value (Redis), Wide-Column (Cassandra), Graph (Neo4j).
8. Database Transactions & ACID Compliance: Isolation levels and handling concurrency.
9. Caching Strategies: In-memory (Redis/Memcached), CDN, and database caching layers.
10. Message Queues & Brokers: Kafka, RabbitMQ, and AWS SQS for asynchronous communication.
11. Event-Driven Architecture: Designing systems around events and choreography.
12. Microservices vs. Monoliths: Trade-offs, decomposition patterns, and bounded contexts.
13. Containerization & Orchestration: Docker, Kubernetes, and service mesh (Istio/Linkerd).
14. Serverless Architecture: Functions-as-a-Service (AWS Lambda, Azure Functions) and its limits.
15. API Gateways: Routing, rate limiting, and request aggregation.
16. Rate Limiting & Throttling: Token bucket, fixed window, and distributed rate limiting.
17. Data Streaming: Real-time processing with Apache Kafka, Apache Flink, or Apache Pulsar.
18. Search Engine Integration: Implementing full-text search with Elasticsearch or OpenSearch.
19. Background Job Processing: Designing reliable systems with Celery, Sidekiq, or BullMQ.
20. File & Object Storage: Handling uploads and serving static assets at scale.
21. WebSockets & Real-Time Communication: Building live dashboards and chat features.
22. Configuration Management: Environment-based configs and feature flag services.
23. Health Checks & Readiness Probes: Building resilient systems with proper lifecycle management.
24. Distributed Tracing: Using Jaeger or Zipkin to track requests across services.
25. Centralized Logging: Aggregating and analyzing logs with the ELK Stack or Loki.
26. Metrics & Monitoring: Implementing Prometheus, Grafana, and crafting meaningful alerts.
27. CI/CD Pipelines: Automated testing, building, and deployment strategies.
28. Infrastructure as Code (IaC): Terraform, Pulumi, and AWS CDK for reproducible environments.
29. Secret Management: Securely storing and accessing API keys and credentials.
30. Database Migrations: Managing schema changes safely and rollback strategies.
31. Disaster Recovery & Backups: Designing for data durability and business continuity.
32. Performance Profiling & Optimization: Identifying bottlenecks in application code and databases.
33. Scalability Patterns: Horizontal vs. vertical scaling, sharding, and consistent hashing.
34. Security Best Practices: SQL injection, XSS, CSRF prevention, and security headers.
35. Testing Strategies: Unit, integration, contract, and end-to-end testing for backend services.
36. Blue-Green & Canary Deployments: Minimizing risk during releases.
37. Graceful Degradation & Circuit Breakers: Building systems that fail well.
38. Internationalization (i18n) & Localization (l10n): Designing APIs for a global audience.
39. Cost Optimization: Right-sizing resources and managing cloud spend.
40. The Backend Engineer's Mindset: Problem-solving, trade-off analysis, and continuous learning.
Master these concepts, and you’ll be equipped to architect and build the robust engines that power modern applications.
Grab this Ebook to master Backend Engineering:
https://t.co/t9mqUuRbjx