Cloud Cost Optimization Solutions for the Technology Industry
Microservices, CI/CD pipelines, and always-on dev environments make cloud spend hard to track across the technology industry. Zolix gives engineering and finance teams at tech companies real-time visibility without slowing down releases.
The Problem
Always-on dev and staging
Dev, staging, and test environments often stay running around the clock, even though they're only used for a few hours a day.
Autoscaling without scale-down
Microservices handle traffic spikes well, but the scale-down side of that equation is where waste tends to hide.
CI/CD pipeline costs
Build and test runners get billed continuously across every team pushing code.
Unmonitored ML experimentation
Training jobs and notebooks are frequently left running long after the experiment itself has ended.
What Zolix Tracks
For technology companies, Zolix gives engineering and finance teams visibility into exactly where infrastructure spend is going. Dev, staging, and production environments are tracked separately, so costs aren't blended into one number that hides where the real spend sits. Microservice-level cost attribution maps spend to individual services rather than entire clusters, so teams can see what their specific part of the architecture actually costs. CI/CD pipeline spend is tracked by team or repository, keeping build and test costs visible instead of buried in general compute. ML experiment tracking separates training jobs and notebooks from production infrastructure, and idle resource detection flags unused dev or staging environments automatically, before they quietly accumulate across billing cycles.
Core Capabilities
Environment Cost Visibility
See exactly what dev, staging, and production environments cost - instead of one blended number across your whole cloud bill.
Microservice-Level Attribution
Cost mapped down to individual services, so teams can see what their part of the architecture actually costs to run.
CI/CD Pipeline Tracking
Build and test infrastructure spend tracked by team or repository, so pipeline costs don't get buried in general compute.
ML Experiment Tracking
Training jobs, notebooks, and experimentation environments tracked separately, so research spend doesn't quietly outgrow production spend.
Automated Idle Detection
Dev and staging environments left running overnight or over weekends get flagged before they accumulate across billing cycles.
Why This Matters
- Dev and staging environments stop running unchecked after hours, since idle resources are flagged automatically
- Microservice costs are visible at the service level, not buried in a single cluster-wide number
- CI/CD pipeline spend is tracked by team or repository instead of disappearing into general compute
- ML experimentation costs are tracked separately from production, so research spend doesn't creep up unnoticed
FAQ
No. Zolix connects through read-only access and monitors usage without interacting with active pipelines or deployments.
Yes. Spend can be broken down by service, not just by cluster or environment.
Yes. Training jobs, notebooks, and experimentation environments are tracked separately from production infrastructure.
Each environment is tracked individually, so idle or over-provisioned dev and staging resources are flagged before they accumulate.
See Where Your Engineering Infrastructure Budget Actually Goes
Connect your accounts and get visibility into environments, microservices, and pipeline costs - without changing how your team ships.