Neotask checks that backups actually completed successfully and are actually restorable, rather than trusting a green checkmark in a backup dashboard that nobody has tested in months. It confirms each scheduled backup job ran, verifies the resulting snapshot or archive is intact and within expected size bounds, and periodically performs an actual test restore to a sandbox to prove the backup would work in a real recovery — not just that a file exists somewhere. Failures and anomalies (a backup that silently shrank, a job that skipped a scheduled run) get flagged immediately instead of discovered during an actual outage. This turns "we have backups" from an assumption into something the company can actually demonstrate, which matters both for disaster recovery and for the availability controls a SOC 2 auditor will ask about directly.
The single most common way disaster recovery plans fail isn't a missing backup — it's a backup that everyone assumed was working and turned out not to be, discovered at the worst possible moment, during the actual disaster. A scheduled backup job can report success while silently writing a corrupted or truncated archive; a retention policy can quietly delete a snapshot before anyone realizes they needed it; a job can simply stop running after a configuration change and nobody notices because nobody's watching that dashboard daily. Manually verifying backups properly means periodically doing an actual test restore, which is exactly the task that gets skipped because it takes real time, needs a sandbox environment, and doesn't feel urgent right up until the moment a real restore is needed and fails. Most teams verify backups by checking that the job completed, not by proving the backup is actually usable, which is a meaningfully weaker guarantee than it feels like. Neotask does the level of verification that's genuinely thorough but tedious to do by hand: not just confirming the job ran, but checking the resulting artifact's integrity and periodically executing real test restores on a schedule, so the confidence in "we can recover" is based on actual recent proof rather than an assumption that hasn't been checked since the backup system was first set up.
Neotask checks that each backup job fired on schedule and completed without error, catching silent skips before they become a gap in the retention record.
Integration: s3
It checks the resulting snapshot or archive against expected size and checksum patterns to catch silent corruption or truncation that a simple success flag would miss.
Integration: backblaze-b2
On a set cadence, Neotask performs an actual restore of a backup into an isolated sandbox environment and confirms the restored data is intact and usable.
Integration: wasabi
A failed job, a corrupted artifact, or a failed test restore triggers an immediate alert to the on-call engineer rather than waiting for the next scheduled report.
Integration: datadog
Every check — job completion, integrity check, test restore result — is logged with a timestamp, building the audit trail that disaster-recovery and compliance reviews need.
Integration: grafana
A job that didn't run on schedule, an artifact that fails an integrity check, or a test restore that doesn't produce usable, intact data — any of these trigger an immediate alert rather than being silently logged.
On a configurable schedule — commonly weekly or monthly depending on the system's criticality — balancing the thoroughness of a real restore against the sandbox resources it consumes.
Yes — Neotask verifies against whatever backup and storage systems you already use rather than requiring a backup software migration.
Yes — the verification record includes timestamped job completion, integrity check, and test-restore results, which is the evidence a SOC 2 availability control typically expects.
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