Build Internal Platforms That Actually Accelerate Teams
You're building CI/CD pipelines, Kubernetes platforms, and developer tooling. But you don't know if they're actually making developers faster. CloudShip gives you real-time metrics on developer productivity, platform adoption, and infrastructure efficiency—so you build what teams actually need.
You Build Platforms Without Knowing If They Help
Platform engineering is all about developer productivity. But you don't have metrics proving your CI/CD improvements actually reduced lead time. You migrated to Kubernetes—did deployment frequency improve? You built an internal developer platform—is anyone using it? You're building blind.
Questions You Can't Answer Today
"Did our CI/CD improvements actually speed up deployments?"
You optimized build times. But did lead time improve? Deployment frequency increase? No metrics.
"Is anyone actually using our internal developer platform?"
Built with 6 months of eng time. But adoption metrics? Usage patterns? You're guessing.
"Which teams are blocked by our infrastructure?"
Teams complain about "infrastructure problems." But where? CI/CD? Kubernetes? Observability?
"Are we over-provisioning infrastructure?"
Kubernetes clusters running 24/7. Are they utilized or wasteful? Need usage + cost data.
Platform engineering is all about developer productivity. But you don't have metrics proving your CI/CD improvements actually reduced lead time. You migrated to Kubernetes—did deployment frequency improve? You built an internal developer platform—is anyone using it? You're building blind.
Leadership asks "is platform engineering worth it?" You talk about technical improvements—faster builds, better orchestration, cleaner infrastructure. But you can't prove it accelerated product delivery. So your headcount gets questioned.
Platform engineering without productivity metrics is just infrastructure work. You need to prove you're accelerating teams, not just building cool tech.
Building Platforms Nobody Uses, Missing Real Bottlenecks
Without platform metrics, you optimize the wrong things. Spent 3 months on Kubernetes migration—but slow CI/CD was the real bottleneck. Built an internal portal—but teams still use kubectl directly. Leadership questions platform team ROI because you can't show productivity gains.
What This Costs Platform Teams:
The Migration That Didn't Help
Migrated to Kubernetes. 6-month project. Deployment frequency unchanged. Real bottleneck was slow test suites, not orchestration.
The Unused Internal Platform
Built beautiful developer portal. Low adoption. Teams still use raw kubectl and AWS CLI. Didn't track what developers actually needed.
The Unproven ROI
Leadership asks "what's platform team delivering?" You list tech improvements. They want business impact. Can't prove developer productivity increased.
Without platform metrics, you optimize the wrong things. Spent 3 months on Kubernetes migration—but slow CI/CD was the real bottleneck. Built an internal portal—but teams still use kubectl directly. Leadership questions platform team ROI because you can't show productivity gains.
High-performing platform teams have metrics. They track lead time before/after platform changes. They measure adoption of internal tools. They show leadership: "We reduced deployment time 40%, here's the data." You're defending your team's existence without proof.
Every platform investment without metrics is a bet you can't validate. You need to prove your platform accelerates teams, or leadership will cut headcount.
Platform Metrics That Prove Developer Productivity
CloudShip tracks the metrics that matter: deployment frequency, lead time, build duration, platform adoption, infrastructure utilization. Before/after data on every platform improvement. Prove your platform accelerates teams, not just consumes budget.
How You Build Platforms Today:
- → Teams complain about "slow deploys" or "bad infra"
- → You build what sounds technically impressive
- → Spend months on Kubernetes, service mesh, internal portals
- → Ship it. Hope teams adopt it.
- → Can't prove if developer productivity improved
- → Leadership questions platform team ROI
With CloudShip Platform Intelligence:
- → Track lead time, deployment freq, build duration—baseline metrics
- → Identify real bottlenecks (CI/CD? Infra? Tooling?)
- → Build platform improvements targeting the bottleneck
- → Track adoption + before/after productivity metrics
- → Prove to leadership: "We reduced lead time 40%, here's the data"
- → Justify headcount with business impact metrics
CloudShip tracks the metrics that matter: deployment frequency, lead time, build duration, platform adoption, infrastructure utilization. Before/after data on every platform improvement. Prove your platform accelerates teams, not just consumes budget.
Developer Productivity Metrics
Deployment frequency, lead time, build/test duration. Track before/after every platform change. Prove improvements or pivot fast.
Platform Adoption Tracking
See which teams use your internal tools vs. raw infra. Low adoption? Fix UX or deprecate unused features.
Infrastructure ROI
Infrastructure costs vs. team velocity gains. Prove your Kubernetes cluster accelerates deployments enough to justify the spend.
Build Platforms With Metrics, Not Hunches
These are the questions platform engineers ask—now with actual data:
"Did our CI/CD optimization actually help?"
Before/after metrics on build time, lead time, deployment frequency. Prove improvements or identify what's still slow.
Pipeline performance before/after
"Is our internal developer platform worth it?"
Adoption metrics by team + productivity gains. If teams don't use it or it doesn't accelerate them, deprecate it.
Adoption + productivity impact
"Where should we invest next: CI/CD, infra, or tooling?"
See which bottleneck affects most teams. Slow builds? CI/CD. Slow deploys? Kubernetes. Manual toil? Tooling. Data drives roadmap.
Bottleneck identification
"Are our Kubernetes clusters over-provisioned?"
Infrastructure utilization vs. deployment velocity. If clusters are 30% utilized, scale down or prove why you need capacity.
Infrastructure efficiency metrics
"Which teams are struggling with our platform?"
Per-team metrics on lead time, deployment failures, build duration. See which teams need help vs. which are thriving.
Team-level platform performance
"What's our platform team's ROI?"
Show leadership: deployment frequency up 50%, lead time down 40%, infrastructure cost per deploy down 30%. Prove business impact.
Platform team business impact
This is platform engineering with metrics. Not just building infrastructure—proving you accelerate teams and justify your budget.
Your CISO Won't Block This
Other platform intelligence tools require uploading CI/CD credentials, Kubernetes access, and production metrics to vendor clouds. CloudShip is different: agents run in your infrastructure. CI/CD tokens, K8s credentials, monitoring data—all stay internal. Only aggregated metrics flow to the Platform.
Why this matters to platform engineering:
You get platform metrics without security review blocking it. Deploy agents in your Kubernetes clusters or CI/CD runners. Your CISO approves because credentials stay internal. You get your developer productivity dashboards immediately.
Build Platforms That Provably Accelerate Teams
Get platform metrics: deployment frequency, lead time, adoption, infrastructure efficiency. Prove your ROI or pivot fast.