OpenSearch
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Elasticsearch
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Amazon OpenSearch Service
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RAG
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BigData
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ClickHouse
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Gen AI
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Vector Search
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LLM
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Press Release
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Announcement
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Presto
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Spark
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AI Agents
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Hybrid Search
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Pulse
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AWS Elasticsearch
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COVID-19
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Observability
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Data Lakes
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BM25
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OpenTelemetry
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PostgreSQL
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Delta Lake
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Data Architecture
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Snowflake
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Data Engineering
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Semantic Search
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Databricks
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Monitoring
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Hive
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AWS EMR
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Google Dataproc
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RRF
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Case Study
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Log Analytics
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Fine-Tuning
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LoRA
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QLoRA
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EMR
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EKS
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Cost Optimization
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ECS
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Infrastructure
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AWS S3
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MongoDB
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MCP
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GetAI
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Databases
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Events
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information retrieval
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embeddings
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ETL
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AI
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LangGraph
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Big Data
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Disaster Recovery
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Mirror Maker
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AWS Kinesis
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Shraga
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Weaviate
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Search ML
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Apache Hudi
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Solr
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Traefik
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Google Cloud
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GKE
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Vega
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Data Visualisation
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ElastAlert
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Architecture
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Streaming
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Apache Pulsar
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Avro
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Parquet
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JSON
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Cloud
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Kafka Streams
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Pulumi
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Redis
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Series: Architectures of a Modern Data Platform
Architectures of a Modern Data Platform examines how high-performing data platforms are actually built — the technology choices, integration patterns, and engineering trade-offs behind systems that handle search, analytics, and real-time data at scale. Each installment breaks down a specific architecture pattern or stack combination, from ingestion through storage and query, with the kind of detail that helps you evaluate whether the approach fits your own requirements.
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