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Devzero vs OpenObserve

OpenObserve provides observability data, whereas DevZero adds active cost-saving actions.
DevzeroRelease at the speed of codeOpenObserveOpen source observability built for petabyte scale

Side by side

What it is
Devzero:DevZero optimizes Kubernetes and AI workloads across clouds, reducing over-provisioning and costs.
OpenObserve:OpenObserve is an open-source observability platform for logs, metrics and traces at petabyte scale.
Best for
Devzero:Cost-aware Kubernetes right-sizing
OpenObserve:Unified, petabyte-scale observability
Who it’s for
Devzero:Engineering teams running Kubernetes clusters on any cloud or on-prem.
OpenObserve:Engineering teams needing high-performance, cost-effective observability.
Pricing
Devzero:Freemium
OpenObserve:Paid
Plans
Devzero:Free $0/month · Pro $5 per CPU / month per month
OpenObserve:OpenObserve Cloud $0.50/GB per GB ingest
Open source
Devzero:—
OpenObserve:Yes, 22,149 GitHub stars
Works with
Devzero:OpenShift
OpenObserve:OpenTelemetry, Prometheus, Datadog Agent, Kubernetes, AWS, Google Cloud, Azure
DevHunt upvotes
Devzero:85
OpenObserve:39
Launched on DevHunt
Devzero:Apr 2024
OpenObserve:Apr 2026

Devzero features

  • Real-time cost monitoring. Shows CPU, memory, GPU usage and cost attribution per department.
  • Workload right-sizing. Adjusts CPU, memory and GPU requests per pod to match actual demand.
  • Live migration. Instantly moves pods without restarts using checkpoint-restore.
  • Spot & GPU optimization. Selects lowest-cost instances and manages spot and GPU resources.
  • Multi-cloud support. Works with AWS, Azure, GCP, OCI, OpenShift and on-prem Kubernetes.
  • Inference optimization (beta). Measures LLM traffic and routes requests to the cheapest model with caching and failover.
Devzero on DevHunt →Alternatives

OpenObserve features

  • Unified observability stack. Collect, correlate and view logs, metrics, traces and more in a single platform.
  • Columnar Parquet storage. Rust-based storage engine provides 140× storage efficiency and 30× compute efficiency.
  • Auto-correlation engine. Analyzes millions of signals per second to automatically link related events.
  • AI SRE agent. Continuously triages incidents, finds root cause and drafts post-mortems.
  • AI assistant. Answers natural-language queries across all telemetry without writing queries.
  • LLM observability. Tracks prompts, completions, token usage and cost for LLM applications.
  • Kubernetes integration. One-click collector deploys logs, metrics, events and zero-code traces for clusters.
  • OpenTelemetry-native ingestion. Supports OpenTelemetry, Prometheus and Datadog agents for drop-in migration.
OpenObserve on DevHunt →Alternatives

Based on each tool's website and DevHunt data. Details may change; check the official sites.