“We were essentially able to reduce the cost of that cluster by about 75%. On AWS, DevZero demonstrated they could achieve significantly higher savings than we initially thought possible.”

Mihir Nair
Head of Architecture, Databahn
Companies who slashed their Kubernetes
spend using DevZero
VPA rightsizes by evicting and rescheduling pods, dropping active connections and breaking stateful workloads. DevZero uses CRIU checkpoint/restore to resize container limits in-place: the process is frozen, limits are updated, and execution resumes with no eviction and no connection loss.
Metrics are analyzed using percentile windows (P50, P95, P99) over configurable time ranges. Bursty batch jobs get wide limits; steady-state API servers get tight P95-aligned limits. A confidence score prevents under-provisioning below your SLO threshold.
DevZero tracks optimization coverage across your workloads in real time, showing active policies, pending recommendations, and applied changes. Engineering leaders can see exactly what has been optimized, what is pending, and where savings are being generated.
Native Kubernetes autoscalers were designed for availability, not cost efficiency. DevZero is built specifically to eliminate waste without compromising stability.
freeze window: <200ms · zero connection drop · zero eviction
In-place resizing via CRIU
DevZero applies resource limit changes to the running container using CRIU checkpointing. The process freezes for under 200ms, limits are rewritten, and execution resumes with no eviction and no scheduler round-trip.
CPU request savings · post-inference
avg confidence 0.93 · 14-day P95 window
Workload-aware forecasting per workload class
Forecasting models are trained per workload class, not per namespace or cluster. Bursty batch jobs get wide limits; steady-state API servers get tight P95-aligned limits. A confidence score prevents under-provisioning below your configured SLO threshold.
CPU throttle_pct=0.82 · rec=680m · conf=0.94
cpu.request: 2000m → 680m · projected $2.84/hr
saved 1.32 vCPU · billing export updated
Full audit trail + advisory mode
Every recommendation DevZero generates is logged with timestamp, confidence score, before/after limits, and projected saving. Advisory mode raises a GitHub PR or Slack notification before touching production, your platform team stays in the loop.
The controls your team actually needs, not a dashboard that requires a PhD to interpret.
P99 latency spike · api-server-7f6d9
throttle_pct=0.78 · caught in 180ms window
DevZero reads CPU throttle rates, memory pressure (PSI), and OOM events directly from cgroup v2, not 15-second Prometheus averages. Sub-second anomalies that cause P99 latency spikes are visible and actionable.
One DevZero tenant manages rightsizing across EKS, GKE, AKS, and on-prem clusters. Monthly savings and optimization metrics are aggregated in a single view across all cloud providers.
DEVZERO
cpu.request: 2000m → 680m · conf=0.94SLACK · #PLATFORM-RIGHTSIZING
Advisory mode · saves $2.84/hrGITHUB · HELM-VALUES PATCH
resources.requests.cpu: "680m"Advisory mode surfaces recommendations where your team already works. GitHub PR integration proposes changes before anything touches production. Slack integration posts to the on-call channel, keeping the right people informed.
“We were essentially able to reduce the cost of that cluster by about 75%. On AWS, DevZero demonstrated they could achieve significantly higher savings than we initially thought possible.”

Mihir Nair
Head of Architecture, Databahn
Technical questions from platform engineers who've evaluated DevZero.
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