AWS Data Services: Kinesis, Glue, Redshift, and S3
Guide to AWS data services for building data pipelines. Compare Kinesis vs Kafka, use Glue for ETL, query with Athena, and design S3 data lakes.
Posts tagged with #cloud
Azure Data Services: Data Factory, Synapse, and Event Hubs
Build data pipelines on Azure with Data Factory, Synapse Analytics, and Event Hubs. Learn integration patterns, streaming setup, and data architecture.
Data Migration: Strategies and Patterns for Moving Data
Learn proven strategies for migrating data between systems with minimal downtime. Covers bulk migration, CDC patterns, validation, and rollback.
GCP Data Services: Dataflow, BigQuery, and Pub/Sub
Guide to Google Cloud data services for building pipelines. Compare Dataflow vs Kafka, leverage BigQuery for analytics, use Pub/Sub, and design data lakes.
AWS Core Services for DevOps: EC2, ECS, EKS, S3, Lambda
Navigate essential AWS services for DevOps workloads—compute (EC2, ECS, EKS), storage (S3), serverless (Lambda), and foundational networking.
Azure Core Services: VMSS, AKS, Blob Storage
Navigate Azure's core services for DevOps—Virtual Machine Scale Sets, Azure Kubernetes Service, Blob Storage, and managed databases.
Cloud Security: IAM, Network Isolation, and Encryption
Implement defense-in-depth security for cloud infrastructure—identity and access management, network isolation, encryption, and security monitoring.
Terraform: Declarative Infrastructure Provisioning
Learn Terraform from the ground up—state management, providers, modules, and production-ready patterns for managing cloud infrastructure as code.
Amazon DynamoDB: Scalable NoSQL with Predictable Performance
Deep dive into Amazon DynamoDB architecture, partitioned tables, eventual consistency, on-demand capacity, and the single-digit millisecond SLA.
Google Spanner: Globally Distributed SQL at Scale
Google Spanner architecture combining relational model with horizontal scalability, TrueTime API for global consistency, and F1 database implementation.