Lambda Architecture
Published on: 08 September 2025
Tags: #lambda #architecture #big-data
graph TD
%% Define a top-to-bottom layout
%% 1. Ingestion Layer
subgraph Ingestion layer
direction TB
subgraph inner_ingestion [ ]
direction LR
D1[Device]
D2[Device]
D3[Device]
end
style inner_ingestion fill:none,stroke:none
IS[Ingestion Server]
D1 --> IS
D2 --> IS
D3 --> IS
end
%% Forking data into parallel layers
subgraph Batch layer
direction TB
BP[(Batch processing)] --> BC[(Batch consumption)]
end
subgraph Speed layer
direction TB
RTP[(Real-time processing)] --> RTC[(Real-time consumption)]
end
%% Ingestion Server feeds both layers
IS --> BP
IS --> RTP
%% 3. Serving Layer
subgraph Serving layer
BV[[Batch view]]
RV[[Real-time view]]
end
%% Connecting processing layers to serving layer
BC --> BV
RTC --> RV
%% 4. Users
U[Users]
%% Serving layer feeds the users
BV --> U
RV --> U
%% Styling to better match the dark theme diagram
%% (Note: Styling capabilities might depend on the Mermaid renderer)
classDef default fill:#2b2b2b,stroke:#ccc,color:#fff
classDef layer-title fill:#333,stroke:#ccc,color:#fff,font-weight:bold