VistaTech
Enterprise infrastructure visibility platform enabling operators to monitor and alert on distributed systems.
Problem
Large enterprises run distributed systems across multiple cloud providers and data centers. Understanding the health and performance of these systems is fragmented: logs in different tools, metrics in different dashboards, alerts scattered across Slack channels. When something breaks, the time to diagnose is measured in hours.
Solution
VistaTech unifies observability: ingest metrics, logs, and traces from any source. Provide a single, queryable interface. Build smart alerts that correlate signals across systems. Reduce MTTR (mean time to repair) by giving operators the data they need immediately.
System & Architecture
Data Ingestion: Accept metrics via Prometheus, logs via Fluentd, traces via OpenTelemetry. Normalize into a unified schema.
Storage: Time-series database for metrics (InfluxDB), search engine for logs (Elasticsearch), distributed tracing backend (Jaeger). Multi-region replication for resilience.
Query & Alerting: Powerful query language allows operators to combine signals. Alerting engine supports cross-signal rules: "alert if CPU is high AND request latency is high AND error rate is elevated."
Key Technical Decisions
High Cardinality Data
Metrics from distributed systems have extremely high cardinality (millions of unique time series). Chose specialized time-series database over generic SQL.
Eventual Consistency
Distributed systems guarantee eventual consistency. Accept that dashboards lag slightly; focus on correctness over microsecond precision.
Operator UX
Built-in templates for common dashboards (Kubernetes, AWS, databases). Operators shouldn't have to learn a query language.
Outcome & Current State
VistaTech is used by 20+ enterprise customers. Average MTTR reduced by 40%. Operators report significantly reduced on-call fatigue—alerts are more signal than noise.