Retina and Sensu Go both show up under the observability category, but they solve slightly different jobs. Retina uses a free model, while Sensu Go runs on undisclosed pricing with free tier. Both sit at high lock-in. Transparency lands at 5/5 versus 4/5. Retina fits teams working on eBPF-based network traffic visualization for Kubernetes, while Sensu Go is a closer match when the job is event-driven monitoring for hybrid cloud infrastructure. Worth noting: Retina is explicitly not for teams already running Cilium with Hubble or needing polished commercial support; Sensu Go is explicitly not for cloud-native teams already standardized on Prometheus and Grafana. The honest trade-off: Retina trades off on still early vs Cilium Hubble maturity; Sensu Go trades off on configuration complexity vs Prometheus. On the plus side, Retina highlights open-source from Microsoft with active development, while Sensu Go points to event-driven architecture scales horizontally. Retina's documentation also calls out eBPF-based, low overhead on K8s nodes. Sensu Go similarly notes open-source core with commercial options.
Quick take
Retina is for eBPF-based network traffic visualization for Kubernetes; Sensu Go is for event-driven monitoring for hybrid cloud infrastructure; decide on pricing model.
Choose Retina if your project is eBPF-based network traffic visualization for Kubernetes, you are willing to accept the high lock-in called out in our data.
βOpen-source from Microsoft with active development
βeBPF-based, low overhead on K8s nodes
βCloud-agnostic, not tied to AKS
βTraffic flow visualization for network debugging
Not for: Teams already running Cilium with Hubble or needing polished commercial support.
Choose Sensu Go whenβ¦
Choose Sensu Go if your project is event-driven monitoring for hybrid cloud infrastructure, you are willing to accept the high lock-in called out in our data.
βEvent-driven architecture scales horizontally
βOpen-source core with commercial options
βPipeline model flexible for hybrid infra
βSumo Logic backing adds enterprise support
Not for: Cloud-native teams already standardized on Prometheus and Grafana.
Common use cases
Retina
βeBPF-based network traffic visualization for Kubernetes
βPod-to-pod traffic flow monitoring without sidecar proxies
βDetect network policy violations and connectivity issues
βOpen-source Kubernetes network observability from Microsoft
Sensu Go
βEvent-driven monitoring for hybrid cloud infrastructure
βAgent-based multi-cloud and on-prem metric collection
βDynamic runtime assets for portable check execution
βPipeline-as-code monitoring with declarative config
Ready to explore?
Check each tool's dedicated page for deeper reviews, setup notes, and pros/cons.
Retina uses a free model, and Sensu Go uses undisclosed pricing with free tier. The pricing models are different, so a direct cheaper-than comparison depends on your volume and usage pattern.
Can I migrate from Retina to Sensu Go?
Our data puts Retina at high lock-in (free oss ebpf k8s observability), and Sensu Go at high lock-in (oss monitoring, configs portable). Expect real migration work out of Retina β plan for data export, re-integration, and downtime testing before cutting over.
Which has better developer experience?
Both score 4/5 on developer experience in our data, so there's no clear winner on that axis. Retina does edge ahead on pricing/docs transparency (5/5 vs 4/5), which can make evaluation faster.
Is Sensu Go a good alternative to Retina?
Sensu Go is a reasonable alternative to Retina when your workload leans more toward hybrid infrastructure teams needing event-driven monitoring across cloud and on-prem than kubernetes network engineers wanting a vendor-neutral eBPF observability tool. The pricing model shifts too β Retina is a free model, Sensu Go is undisclosed pricing with free tier β so expect the cost profile to change as well. One caveat: Sensu Go is explicitly not for cloud-native teams already standardized on Prometheus and Grafana, so check that constraint against your use-case before switching.
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