The Stack Behind
Wetware
A carefully chosen set of technologies — not trendy, but battle-tested at e-commerce scale.
Log & Search — Our Core
Elasticsearch
Distributed search and analytics — our home since the early versions
Logstash & Beats
Log ingestion, parsing, and shipping at scale
Kibana
Visualization and exploration layer over Elastic data
AI & Language Models
LLM Integration
OpenAI, Anthropic, and open-source models applied to log reasoning
RAG Pipelines
Retrieval-augmented generation over your actual log data
AI Agents
Purpose-built agents for Business, Delivery, and Security domains
Data & Streaming
Apache Kafka
High-throughput log streaming and event pipelines
Apache Spark
Batch and stream processing for large-scale log analysis
ClickHouse
Columnar analytics for fast aggregation over massive log volumes
Infrastructure
Docker & Kubernetes
Containerized deployment and orchestration
AWS
Cloud infrastructure for scalable log ingestion and storage
Grafana
Dashboards and alerting complementing the Elastic stack
Our Technical Depth
Elastic Stack Mastery
10+ years with Elasticsearch from early versions — indexing strategies, query tuning, cluster management.
Log Engineering
Designing log schemas, parsing pipelines, and retention policies that balance cost and observability.
Applied AI on Logs
Building LLM-powered interfaces and agents that reason over real log data, not toy examples.
E-commerce Observability
Understanding critical retail moments — peak sales, flash deals, checkout flows — and how to monitor them.
Want to See This Stack in Action?
Let's show you how our technology stack powers real log intelligence.