Incident Library
  • Root cause
  • Component
  • Symptom
  • Contributing factor
  • Case

Cases14 cases

4 to 8 of 14

  1. Symptoms

    On 2 September 2025 the matrix.org homeserver went down at 17:45 UTC and stayed down until 18:00 UTC the next day. Both machines of its PostgreSQL cluster were out of action: the original primary had lost its RAID array during a disk expansion, and the data directory of the new primary had been deleted by mistake.

    Trigger

    During maintenance to add drives, an existing drive disappeared from the primary database server's RAID 10 array at 11:17 UTC, which led to a failover and a rebuild of that server. The outage itself began when the data directory of the new primary on db-01 was deleted while clearing a failed restore on db-02.

    Root cause
    Component
    Contributing factor
    Detection

    Monitoring fired when the drive disappeared from db-02's RAID array at 11:17 UTC, and Mythic Beasts confirmed the issue. The team realised it had deleted db-01's data directory, and the backend team was then paged, an incident was opened and an emergency was declared.

    Remediation
    • Created a fresh RAID 10 array on db-02
    • Unblocked WAL archiving from the new primary on db-01 to S3
    • Started restoring db-02 from the S3 backups with wal-g
    • Shut down Synapse and the damaged primary database
    • Remounted the data partition of db-01 read-only
    • Copied the WALs missing from S3 from db-01 to db-02
    • Updated wal-g and patched it to continue from the partial restore
    • Configured a restore_command wrapper that fetched WALs from S3 and the local files, and replayed them in standby mode
    • Promoted db-02 to primary and restarted Synapse
    • Ran backups against the primary while no replica existed
    • Rebuilt db-01 as a replica from a base backup of db-02
    Action items
    • Run pg_repack to reclaim free space
    • Take incremental backups more often, since they restore faster than WAL replay
    • Reduce Synapse's storage requirements
    • Consider changing the terminal background colour by the database's role, for example by watching for the standby.signal file
    • Consider wrapper scripts around sensitive commands, such as an alias for rm, and automating operations such as starting a base backup from primary to secondary
    • Shorten the recovery time, with infrastructure from service providers
    • Upgrade wal-g on all servers and repeat disaster recovery testing with it
    • Explore ZFS local snapshots at the next hardware refresh
    • Make status.matrix.org the source of truth during incidents and keep social media updated
    Lessons

    Most of the difficulty came from the size of the database: restoring 51TB and replaying WALs took far longer than hoped, and incremental backups restore much faster than WAL replay. Running a destructive command on the wrong server was the turning point, and Matrix.org looks for better tooling and processes rather than blaming the individual; working as a trio did not catch the mistake, and server names that suggest a role caused confusion because a primary and a secondary swap roles. The recovery lost no data, but the recovery time needs to be shorter, and the wal-g versions on the disaster recovery server and the production servers had drifted apart.

  2. Symptoms

    Right after a script ran on the CockroachDB nodes behind Cookie Run: Kingdom, hundreds of alerts fired at once for error rate, database connections and health checks, and the game could no longer be played normally. Emergency maintenance started at 16:52.

    Trigger

    On the Monday after the launch weekend, storage use was growing with the number of users and the cluster had about 36 hours left before its disks would fill. The team ran a prepared script to create ballast files on every node, as the official guide for CockroachDB 19.1.11 recommends. The ballast file path in the script was set wrong and pointed at a block device, and the command had no check for an existing file at the target path, so it overwrote the partition.

    Root cause
    Component
    Contributing factor
    Detection

    Metrics and alerts set up in advance fired hundreds of alerts on error rate, database connections and health checks right after the script ran.

    Remediation
    • Started emergency maintenance of the game at 16:52
    • Wrote Spark code that extracts the contents of CockroachDB SST files to CSV, and modified the CockroachDB CLI to make it more than 10 times faster
    • Converted about 7.5TB of SST files from the 7 surviving nodes to CSV
    • Deduplicated the extracted rows and merged them into one large CSV file that could be imported
    • Imported the latest snapshot and the latest 300 journal entries per user into a new cluster with more storage
    • Restored the other tables from the latest backup and rebuilt the user table from snapshots and journals with server logic
    • Checked the restored data against a database restored from backup, against analytics logs for sampled users, and with snapshot replay for every user
    • Reopened the game at 23:37 on the second day, after 30 hours 50 minutes
    • Failed over the AWS RDS database of the DevPlay platform after the reopening traffic overloaded it
    • Built a third database cluster on more m5d instances and moved the data with the official backup and restore
    • Ended the maintenance at 8:30, after 36 hours 29 minutes
    Action items
    • Require at least two engineers for any work on production infrastructure, however small
    • Write the scripts and the scenario for each infrastructure task in advance and have the team review them
    Lessons

    Because a person's mistake caused the failure, Devsisters changed its process for infrastructure work rather than relying on individual care: even experienced engineers make mistakes, so the prevention has to be built into the system. The author credits the recovery to an incident policy that does not blame the individual and asks for detailed records, to past incidents that were written down so people without the experience knew what to do, and to having infrastructure operations and data analysis teams with the needed infrastructure and skills in one organisation.

  3. Symptoms

    On 13 March 2018 at 12:14 UTC every table in travis-ci.com's production PostgreSQL database was truncated. Alerts fired right away, and customers reported missing account data; people who signed in saw blank user profiles.

    Trigger

    At 12:04 UTC a developer ran a test suite in an old tmux shell that still had a DATABASEURL environment variable pointing at the production database, and the Database Cleaner gem sent a truncate query to it. The query was blocked for about 10 minutes and executed at 12:14 UTC.

    Root cause
    Component
    Contributing factor
    Detection

    Alerts fired immediately after the truncation, and customers reported missing account data.

    Remediation
    • Took all applications offline
    • Provisioned a replacement database from a snapshot taken that morning
    • Reattached the restored database and brought platform services back up
    • Worked through the backlog of builds until it cleared
    • Revoked all affected login tokens by 14:22 UTC on 14 March
    • Contacted affected customers and advised them to rotate stored credentials and check build logs
    Action items
    • Revoke the truncate permission on the databases
    • Make the internal spechelpers check for the DATABASEURL environment variable
    • Make the developer shell prompt warn when a DATABASE_URL is set
    • Submit a pull request to the Database Cleaner gem guarding against a remote DATABASE_URL
    • Create an alias for the follower database so it is easy to connect to for work against production data
    • Automate database failover and maintenance to cut manual recovery steps
    Lessons

    Developers connected to the production primary with write access because the tooling made the read-only follower hard to reach. While responding, Travis CI left user-facing applications running, which created duplicate user ids, and did not turn some alerts back on, which hid the stopped cron scheduler. Even the most experienced developers can make an inadvertent mistake that causes a large outage. The whole production database was recovered with only about 15 minutes of data loss.

  4. Symptoms

    On 7 August 2017, while checking the application after the maintenance that moved Mackerel from an on-premises data center to AWS, the team found that data updated during a specific time window was missing. Everything written to the PostgreSQL database between 14:30 and 15:30 JST was gone.

    Trigger

    One hour after the application was switched to the newly promoted primary db001, db001 lost network connectivity and the database failed over to the standby db002.

    Root cause
    Component
    Contributing factor
    Detection

    The team found the missing data while checking how the application behaved after the migration work.

    Remediation
    • Tried to restore the lost updates by hand from the table data left on db001 and gave up
    • Tried point-in-time recovery from the base backup and WAL and gave up
    • Built a new replica db003 with db002 as primary to restore redundancy
    • Kept db001 in maintenance state for investigation
    • Watched db002 for some time to confirm the problem did not recur, then completed the migration
    Action items
    • Change the PostgreSQL replica creation script to set recovery_target_timeline = 'latest' in recovery.conf by default
    • Add a check to a server configuration test tool such as Serverspec that recovery.conf contains recovery_target_timeline = 'latest'
    Lessons

    A setting needed only for a rare layout, such as a grandchild replica during a migration, was applied by hand through a script option and was forgotten. Because recovery_target_timeline = 'latest' is harmless on ordinary standbys too, Hatena now sets it by default whenever a replica is created. The staging rehearsal used the same layout and steps but had the setting right, so it could not catch the mistake. Hatena notes that a similar layout may be used again for a future PostgreSQL upgrade or a move to another region.

  5. Symptoms

    At about 1 AM on 9 February 2017, UC Berkeley's DataHub was reported down: users trying to log in got a proxy error. The hub pod was running, but its log was full of sqlite errors.

    Trigger

    While debugging, an operator ran `.save jupyterhub.sqlite` in sqlite3 inside the hub pod without having attached the database, which replaced the JupyterHub database file with an empty one.

    Root cause
    Component
    Contributing factor
    Detection

    DataHub was reported down at about 1 AM, when users got a proxy error at login. At 1:12 AM a user reported that he could log in but all his notebooks were gone.

    Remediation
    • Scaled the hub to 0 replicas
    • Rebuilt the JupyterHub sqlite database by matching Kubernetes PVC names back to user ids
    • Set cookie_id to null instead of a dummy value and attached the rebuilt database to the hub
    • Changed the cookie secret in the hub pod and restarted it to log all users out
    • Deleted all user pods to log everyone out
    • Ran a script that filled in cookie_id for all users, restarted the hub and deleted all user pods again
    • Dropped the new users with a '.' in their name and renamed the older users from '-' to '.'
    Action items
    • Report upstream that JupyterHub uses only part of the cookie secret and discards the rest
    • Report upstream that the cookie_id column of the users table should have UNIQUE and NOT NULL constraints
    • Ask KubeSpawner to support username hashes in PVC and pod names so the names stay the same when the database is deleted
    • Ask OAuthenticator to support using the id from the Google authenticator as the user id, giving stable user ids
    • Switch to Google Cloud SQL, a hosted and managed MySQL database
    • Take regular and tested backups of the database
    • Start an operational FAQ of things to do and not to do
    • Set up better monitoring and paging
    • Document escalation procedures explicitly
Check your cluster for this

These 14 cases involve Database and Database backups and snapshots. kubegap audits a Kubernetes cluster for gaps like these, read-only, from Claude Code or Codex; its checks cite public reports like the ones in this library.

By root cause1

Operator error14 cases

  1. IL-0577 Ficilcom's production Neon PostgreSQL database was reset by prisma migrate reset meant for the local database
  2. IL-0286 An exercise cleanup destroyed Honeycomb's Kafka brokers, leaving partitions leaderless and ingest crash-looping
  3. IL-0576 Every dataset in CareNet's production BigQuery data warehouse was deleted, and UNDROP SCHEMA could not restore them
  4. IL-0242 Both PostgreSQL servers behind matrix.org were lost during a disk expansion, and the homeserver was down for 24 hours
  5. IL-0565 Cookie Run: Kingdom's CockroachDB cluster failed when 16 of 24 nodes lost their filesystems, causing a 36-hour outage
  6. IL-0332 A test run against the production database truncated every table and travis-ci.com was down for about 5.5 hours
  7. IL-0431 During Mackerel's move to AWS, PostgreSQL failed over to a replica that had stopped replicating, losing an hour of data
    Hatena2017
  8. IL-0506 UC Berkeley DataHub logins failed and students got empty home directories after the JupyterHub database was overwritten
  9. IL-0218 GitLab.com's primary PostgreSQL data was wiped by mistake and, with no working backup, the site was down about 18 hours
    GitLab2017
  10. IL-0573 A developer's mistake dropped nine main tables of the Baemin billing MariaDB database and payments briefly stopped
  11. IL-0434 Rolling restarts of a 30-node Elasticsearch 0.19 cluster after a host failure left 12 shards unassigned
  12. IL-0319 Dropping databases on the MySQL replica mysql2 also dropped them on mysql1, as the pair actually ran master-master
  13. IL-0538 Sakura Cloud storage maintenance deleted 53 in-use customer disks, and the disks could not be restored from backup
  14. IL-0337 EBS volumes in one US East Availability Zone got stuck after a network change cut EBS nodes off from their replicas