Search Results for "system map"

Collecting metrics, logs, and traces alone doesn't make your applications observable. Coroot turns that data into actionable insights for you. Enable system observability in minutes, no code changes required. Each release is automatically compared with the previous one, so you'll never miss even the slightest performance degradation. With integrated Cost Monitoring, developers can track how each change affects their cloud bill. Understand your cloud costs down to any given application....

asnmap is a command line tool and Go library designed to quickly map network ranges belonging to organizations using Autonomous System Number (ASN) data. It allows users to convert different types of inputs (such as ASN numbers, IP addresses, domain names, or organization names) into their associated CIDR ranges. This capability makes it particularly useful for security researchers, penetration testers, and reconnaissance workflows that require identifying network infrastructure owned by a target organization. asnmap retrieves ASN-related data and returns structured results that can be easily integrated into automated pipelines. ...

...It separates a storage layer from a verifiability layer, letting applications prove inclusion, consistency, and non-existence through compact cryptographic proofs. The system is designed for horizontal scale with gRPC APIs, enabling multiple frontends and sequencers to operate over a shared backend. Common use cases include certificate transparency, package registries, and audit logs where public verifiability or tamper evidence is required. Trillian exposes both “log” and “map” primitives so developers can choose between append-only timelines or verifiable dictionaries depending on their data model. ...

Key Transparency is a system for accountable public-key discovery that lets users and senders verify the keys associated with an account over time. It combines an append-only log with a verifiable map so changes to a user’s keys produce cryptographic proofs, enabling clients to detect malicious insertions or undetected key rotations. The architecture separates operators from verifiers: even if the service is compromised, independent clients can audit inclusion and consistency proofs to maintain trust. ...