MISP is not a single simple program, but a set of parts that need to be planned together: a web application, a database, Redis for caching and queues, and Python-based integrations. Its main message is that architecture choices matter early, because a poor setup creates performance problems, weak security, and harder maintenance as intelligence volume grows. The post walks through the big hosting options—on-premises, cloud-native, and hybrid—and says the right choice depends mostly on data sensitivity, legal jurisdiction, and sharing restrictions. For highly sensitive or restricted intelligence, it clearly leans toward on-premises, while hybrid is presented as a common compromise for organizations that want to keep sensitive data internal but still use a cloud-facing node for external sharing.

A key practical recommendation is to separate Edge and Internal MISP nodes. The Edge node should collect and clean outside threat intelligence first, while the Internal node should receive only reviewed, curated data that analysts and security tools can trust. The article argues this prevents raw external feeds from flooding SIEMs, EDRs, and blocking systems with noise or false positives. It also advises keeping deployments operationally simple unless there is a clear reason not to: use native Linux installation for maximum control, or Docker on a Linux host for repeatability; reserve Kubernetes-style clustering for larger, more complex environments. For resilience, it recommends active-passive failover, database replication, separate file handling for attachments/logs, regular backups, and monitoring not just the web service but also worker queues and background jobs.

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Source: https://www.misp-project.org/2026/02/11/misp-architecture-choices.html/