Monitoring & Observability
ELK Stack Setup
The ELK stack — Elasticsearch, Logstash, and Kibana — is the most widely deployed open-source logging solution. It centralizes logs from all your services, makes them searchable in seconds, and provides powerful visualization through Kibana. We deploy production-grade ELK clusters with proper sizing, index management, and security configuration.
Need this done for your project?
We implement, you ship. Async, documented, done in days.
What We Deliver
A production-ready ELK stack with an Elasticsearch cluster (3+ nodes for high availability), Logstash or Fluentd/Fluent Bit for log ingestion, Kibana for visualization and exploration, index lifecycle management (ILM) for automated rollover and retention, Filebeat or Fluent Bit on all hosts for log shipping, and security (TLS + authentication) enabled throughout.
Elasticsearch Cluster Design
We size Elasticsearch clusters based on your log volume, retention requirements, and query patterns. Dedicated master nodes prevent cluster instability. Data nodes are sized for your daily ingest volume with headroom for search operations. Hot-warm-cold architecture reduces storage costs — recent logs on fast SSDs, older logs on cheaper storage. Index templates enforce consistent mappings.
Log Ingestion Pipeline
Filebeat or Fluent Bit agents on each host collect container and application logs. Logstash (or Elasticsearch ingest pipelines) parse unstructured logs into structured fields, enrich with metadata (hostname, environment, service name), and route to appropriate indices. Grok patterns handle common log formats. Custom parsers handle application-specific formats.
Index Lifecycle Management
ILM policies automate index rollover (new index every day or at size threshold), forcemerge for read optimization, shrink for storage efficiency, and deletion after retention period. Hot indices serve recent data on fast nodes. Warm indices serve older data on cost-effective storage. Cold and frozen tiers provide long-term searchable archives on object storage.
Kibana Dashboards & Alerting
We build Kibana dashboards for: log volume and error rate overview, application error investigation (filterable by service, endpoint, status code), infrastructure event correlation, and security audit log analysis. Kibana alerting rules trigger notifications for log patterns — error rate spikes, specific error messages, or security events.
How It Works
Purchase the engagement, submit your async brief with your log volume and retention requirements, and receive a production-ready ELK stack within 7–10 business days. Cluster configuration, dashboards, and operational runbooks included.
Why Anubiz Engineering
100% async — no calls, no meetings
Delivered in days, not weeks
Full documentation included
Production-grade from day one
Security-first approach
Post-delivery support included
Ready to get started?
Skip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.