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While logs are the go-to place for finding and debugging critical errors, they are also a key tool in application performance monitoring and overall system health.\u003C/p\u003E\n","\u003Cp\u003EThere are two parts to a good logging setup:\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\u003Cstrong\u003EConfiguring what to log\u003C/strong\u003E — tuning Postgres settings so you capture the right level of detail (slow queries, lock waits, DDL changes, temp file usage) without overwhelming your disk or your team.\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EHosting and searching your logs\u003C/strong\u003E — getting logs into a searchable system (pgBadger, Datadog, Observe, Snowflake event table, etc.) so they're ready when you need them.\u003C/li\u003E\u003C/ol\u003E\n","\u003Cp\u003EBoth steps matter. The best logging configuration in the world doesn't help if you can't find the relevant entries during an incident. And the fanciest log dashboard is useless if you aren't capturing the data you need.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EInitiating Logging for Postgres\u003C/h2\u003E\n","\u003Cp\u003EOut of the box, Postgres sends logs to the terminal. To turn on sending things to log files, enable the logging collector.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER SYSTEM SET logging_collector = 'on';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EWhat File Format Do You Want for Logs?\u003C/h3\u003E\n","\u003Cp\u003EThe log message formatting is determined by the \u003Ccode\u003Elog_destination\u003C/code\u003E parameter, which can be set to one or more of: \u003Ccode\u003Estderr\u003C/code\u003E, \u003Ccode\u003Ecsvlog\u003C/code\u003E, \u003Ccode\u003Ejsonlog\u003C/code\u003E, and \u003Ccode\u003Esyslog\u003C/code\u003E. \u003Ccode\u003Estderr\u003C/code\u003E is the default. Use commas to separate values when using more than one destination:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- setting multiple log destinations\nALTER SYSTEM SET log_destination = 'stderr,jsonlog';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIf \u003Ccode\u003Elogging_collector = 'on'\u003C/code\u003E, then \u003Ccode\u003Estderr\u003C/code\u003E, \u003Ccode\u003Ecsvlog\u003C/code\u003E, and \u003Ccode\u003Ejsonlog\u003C/code\u003E logging will go to files in the directory specified by \u003Ccode\u003Elog_directory\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003EMany hosted and fully managed systems have logs available in different formats for use by different tools. \u003Ccode\u003Esyslog\u003C/code\u003E is what you'll use on servers for log shipping to an external logging host.\u003C/p\u003E\n","\u003Ch3\u003EWhat Level of Logging Do You Want?\u003C/h3\u003E\n","\u003Cp\u003EAll log messages generated by the server will have one of these severity levels:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ESeverity\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDescription\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPANIC\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESevere errors — system must shut down and recover\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EFATAL\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EErrors that cause the session to terminate\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EERROR\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EErrors that abort the current operation but not the session\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EWARNING\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EPotential problems — deprecated features, possible data issues\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ENOTICE\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESignificant messages — non-critical issues\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EINFO\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ELow informational messages — autovacuum, config reloads\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDEBUG1-5\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EBasic debug to most verbose\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003EThe \u003Ccode\u003Elog_min_messages\u003C/code\u003E setting determines which messages are actually logged. All messages with the configured severity level or above will be sent. The default is \u003Ccode\u003Ewarning\u003C/code\u003E and that's a generally good setting.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER SYSTEM SET log_min_messages = 'warning';\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ELogging SQL Statements\u003C/h2\u003E\n","\u003Cp\u003ESQL queries can be selected for logging based on the \u003Ccode\u003Elog_statement\u003C/code\u003E parameter:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EValue\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EWhat It Logs\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Enone\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ENo SQL statements (errors still appear via \u003Ccode\u003Elog_min_messages\u003C/code\u003E)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Eddl\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EData definition changes only — table, column, and index changes\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Emod\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAll DDL plus inserts, updates, and deletes\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Eall\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EEvery SQL statement and query (generally not recommended for production)\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003EDDL is a good choice for production:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER SYSTEM SET log_statement = 'ddl';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EStatements with syntax errors or that fail during parsing or planning are not covered by \u003Ccode\u003Elog_statement\u003C/code\u003E. These are covered by \u003Ccode\u003Elog_min_error_statement\u003C/code\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER SYSTEM SET log_min_error_statement = 'ERROR';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ESQL errors will look like this:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E2025-05-09 14:02:37 UTC [28561] ERROR:  operator does not exist: integer == integer at character 33\n2025-05-09 14:02:37 UTC [28561] HINT:  Perhaps you meant to use the standard operator "=".\n2025-05-09 14:02:37 UTC [28561] STATEMENT:  SELECT * FROM users WHERE id == 42;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ELogging Prepared Statements and Sensitive Data\u003C/h3\u003E\n","\u003Cp\u003EThe \u003Ccode\u003Elog_parameter_max_length\u003C/code\u003E and \u003Ccode\u003Elog_parameter_max_length_on_error\u003C/code\u003E parameters limit the length of bind parameter values logged with query and error log messages. This applies to both explicit prepared statements (\u003Ccode\u003EPREPARE\u003C/code\u003E / \u003Ccode\u003EEXECUTE\u003C/code\u003E) and the unnamed prepared statements used by application database drivers via the extended query protocol.\u003C/p\u003E\n","\u003Cp\u003ESet them to \u003Ccode\u003E0\u003C/code\u003E to fully disable bind parameter logging:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER SYSTEM SET log_parameter_max_length = 0;\nALTER SYSTEM SET log_parameter_max_length_on_error = 0;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThese can also be set per-session, per-transaction, per-user, or per-database:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- set for a session\nSET SESSION log_parameter_max_length = 0;\n\n-- set for a transaction\nBEGIN;\nSET LOCAL log_parameter_max_length = 0;\nCOMMIT;\n\n-- set for all queries run by a specific user\nALTER ROLE app_user SET log_parameter_max_length = 0;\n\n-- set for all traffic on a specific database\nALTER DATABASE sensitive_db SET log_parameter_max_length = 0;\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EFormatting Log Entries\u003C/h2\u003E\n","\u003Cp\u003EOut of the box, Postgres log entries look like this:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E2025-05-19 13:49:04.908 EDT [3108283] ERROR: column "asdfklasdf" does not exist at character 8\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe timestamp and process ID come from the default \u003Ccode\u003Elog_line_prefix\u003C/code\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- default\nlog_line_prefix = '%m [%p] '\n\n-- recommended: adds user and database context\nALTER SYSTEM SET log_line_prefix = '%m [%p]%q %u@%d ';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EKeep the process ID (\u003Ccode\u003E%p\u003C/code\u003E) — it's essential when troubleshooting a specific process. \u003Ccode\u003E%u\u003C/code\u003E adds the user and \u003Ccode\u003E%d\u003C/code\u003E adds the database, which is helpful when using multiple databases in a single instance.\u003C/p\u003E\n","\u003Cp\u003ESee the \u003Ca href=\"https://www.postgresql.org/docs/current/runtime-config-logging.html#GUC-LOG-LINE-PREFIX\"\u003Elog_line_prefix documentation\u003C/a\u003E for the full list of \u003Ccode\u003E%\u003C/code\u003E escape sequences.\u003C/p\u003E\n","\u003Cp\u003EThe \u003Ccode\u003Elog_error_verbosity\u003C/code\u003E setting controls how verbose log messages are:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ESetting\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EBehavior\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Eterse\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EShortened errors with SQL state error code\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Edefault\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EError and hint messages\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Everbose\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAdditional context like source file and function names (not recommended for production)\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ELog File Naming, Location, and Rotation\u003C/h2\u003E\n","\u003Ch3\u003EFile Names and Location\u003C/h3\u003E\n","\u003Cp\u003EThe \u003Ccode\u003Elog_filename\u003C/code\u003E setting specifies log filenames using strftime escape patterns:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- default (includes seconds, usually unnecessary)\nlog_filename = 'postgresql-%Y-%m-%d_%H%M%S.log'\n\n-- simpler daily format\nALTER SYSTEM SET log_filename = 'postgresql-%Y-%m-%d';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EFind your current log location:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESHOW data_directory;\nSHOW log_directory;\nSHOW log_filename;\nSELECT pg_current_logfile();\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ERotating Logs\u003C/h3\u003E\n","\u003Cp\u003EWithout rotation, logs will fill up your disk.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- rotate logs every day\nALTER SYSTEM SET log_rotation_age = '1d';\n\n-- rotate if file exceeds 10MB before the day is up\nALTER SYSTEM SET log_rotation_size = '10MB';\n\n-- truncate reused log filenames instead of appending\nALTER SYSTEM SET log_truncate_on_rotation = 'on';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EIf your \u003Ccode\u003Elog_filename\u003C/code\u003E format does not result in automatic name re-use (e.g., \u003Ccode\u003Epostgresql-%Y-%m-%d.log\u003C/code\u003E), use an external tool like Linux's \u003Ccode\u003Elogrotate\u003C/code\u003E to remove old logs after archiving.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EAudit Logging with PGAudit\u003C/h2\u003E\n","\u003Cp\u003EBeyond server and query logs, you can audit user behavior with the \u003Ccode\u003EPGAudit\u003C/code\u003E extension. It records who performed an action, when it happened, and the exact changes made.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- add to preloaded libraries (requires restart)\n-- shared_preload_libraries = 'pgaudit'\n\n-- create the extension\nCREATE EXTENSION pgaudit;\n\n-- enable audit logging\nALTER SYSTEM SET pgaudit.log = 'ddl';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EPossible values for \u003Ccode\u003Epgaudit.log\u003C/code\u003E: \u003Ccode\u003Eread\u003C/code\u003E, \u003Ccode\u003Ewrite\u003C/code\u003E, \u003Ccode\u003Erole\u003C/code\u003E, \u003Ccode\u003Eddl\u003C/code\u003E, \u003Ccode\u003Emisc\u003C/code\u003E.\u003C/p\u003E\n","\u003Cp\u003EYou can set audit logging per role:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER ROLE audited_user SET pgaudit.log = 'read, write, ddl';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAudit log output:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E2025-05-09 12:34:56.789 UTC [12345] myuser@mydb LOG:  AUDIT: SESSION,1,SELECT,pg_catalog.pg_stat_activity,SELECT * FROM pg_stat_activity;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive\nIf you only need DDL logging without the additional auditing features of PGAudit (session info, role tracking), then \u003Ccode\u003Elog_statement = 'ddl'\u003C/code\u003E may be sufficient on its own.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ELogging for Performance Monitoring\u003C/h2\u003E\n","\u003Ch3\u003ELogging Long Running Queries\u003C/h3\u003E\n","\u003Cp\u003EThe \u003Ccode\u003Elog_min_duration_statement\u003C/code\u003E parameter is PostgreSQL's slow query logging threshold:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER SYSTEM SET log_min_duration_statement = '1000';\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cpre\u003E\u003Ccode\u003ELOG:  duration: 2001.342 ms  statement: SELECT count(*) from orders;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ELogging Locks and Lock Waits\u003C/h3\u003E\n","\u003Cp\u003EEnable \u003Ccode\u003Elog_lock_waits\u003C/code\u003E to log when queries wait on locks. There is virtually no overhead and it's safe for production:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER SYSTEM SET log_lock_waits = 'on';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EWith this enabled, the \u003Ccode\u003Edeadlock_timeout\u003C/code\u003E setting is used as the threshold. Lock wait entries show:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E2024-05-16 14:45:12.345 UTC [45678] user@database LOG:  process 45678 still waiting for ShareLock on transaction 123456 after 1000.001 ms\n2024-05-16 14:45:12.345 UTC [45678] user@database DETAIL:  Process holding the lock: 12345. Wait queue: 45678, 45670.\n2024-05-16 14:45:12.345 UTC [45678] user@database STATEMENT:  UPDATE orders SET status = 'shipped' WHERE id = 42;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ELogging Temp Files\u003C/h3\u003E\n","\u003Cp\u003EIf queries perform reads or sorts on disk instead of in memory, it may mean you need to increase \u003Ccode\u003Ework_mem\u003C/code\u003E. Set \u003Ccode\u003Elog_temp_files\u003C/code\u003E to the same size as your \u003Ccode\u003Ework_mem\u003C/code\u003E:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- log temp files > 4MB (set to current work_mem in kB)\nALTER SYSTEM SET log_temp_files = '4096';\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cpre\u003E\u003Ccode\u003E2024-05-16 14:23:05.123 UTC [12345] user@database LOG:  temporary file: path "base/pgsql_tmp/pgsql_tmp1234.0", size 245760\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EQuery Plans with auto_explain\u003C/h3\u003E\n","\u003Cp\u003E\u003Ccode\u003Eauto_explain\u003C/code\u003E automatically logs EXPLAIN plans for slow queries:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- create the extension\nCREATE EXTENSION IF NOT EXISTS auto_explain;\n\n-- log plans for queries that run longer than 1000ms\nALTER SYSTEM SET auto_explain.log_min_duration = '1000';\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide negative\nauto_explain generates a lot of log output. For really big queries or partitioned tables, plans can be very long. Consider setting it for a single session instead of globally when doing targeted performance work.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EAutovacuum Logging\u003C/h3\u003E\n","\u003Cp\u003EThe \u003Ccode\u003Elog_autovacuum_min_duration\u003C/code\u003E parameter controls whether \u003Ca href=\"/guide/vacuum\"\u003Eautovacuum\u003C/a\u003E jobs are logged. It defaults to 10 minutes since PG15.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- log all autovacuum operations that take longer than 1 second\nALTER SYSTEM SET log_autovacuum_min_duration = '1000';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EAutovacuum log entries contain all the same information as \u003Ccode\u003EVACUUM VERBOSE\u003C/code\u003E — pages removed, tuples removed, index scan details, I/O timings, buffer usage, WAL usage, and system resource usage.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EExtracting and Parsing Logs\u003C/h2\u003E\n","\u003Cp\u003EHaving your logs accessible and searchable is critical for debugging and helpful for performance. Logs are like insurance — you may not need them every day, but when you have a problem, you're glad they're there.\u003C/p\u003E\n","\u003Ch3\u003EpgBadger\u003C/h3\u003E\n","\u003Cp\u003E\u003Ca href=\"https://github.com/darold/pgbadger\"\u003EpgBadger\u003C/a\u003E is an open source project that turns Postgres log output into an HTML page with zoomable charts. Run it periodically or on demand:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003E# send logs to a local text file\ncb logs <cluster-id> > pglogs.txt\n\n# pgBadger reads the text file and provides HTML output\npgbadger -f syslog pglogs.txt -o out.html\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EThird-Party Log Drain Tools\u003C/h3\u003E\n","\u003Cp\u003ETools like pgAnalyze, Datadog, and Observe can host, parse, and let you search your logs. These run as an agent, container, or service to export logs.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- set up syslog drain\nALTER SYSTEM SET log_destination = 'syslog';\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EData Warehousing for Logs\u003C/h3\u003E\n","\u003Cp\u003EFor large-scale applications, teams are opting to store and query logs in systems like Snowflake. When stored as flat files in object storage, these systems can be very cost effective for high-throughput log analysis.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ELogging in Snowflake Postgres\u003C/h2\u003E\n","\u003Cp\u003ESnowflake Postgres automatically collects Postgres logs and metrics into the \u003Cstrong\u003ESnowflake Event Table\u003C/strong\u003E at \u003Ccode\u003ESNOWFLAKE.TELEMETRY.EVENTS\u003C/code\u003E. This gives you the full power of Snowflake SQL to query, aggregate, and alert on your Postgres telemetry data with no additional configuration.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Query the last 10 minutes of Postgres logs from the event table\nSELECT TIMESTAMP, VALUE:MESSAGE as log_line\nFROM SNOWFLAKE.TELEMETRY.EVENTS\nWHERE resource_attributes['snowflake.o11y.logtype'] = 'postgres-otelcol-vm-agent'\n  AND resource_attributes['instance.id'] = '<your-instance-id>'\n  AND record_type = 'LOG'\n  AND TIMESTAMP > CURRENT_TIMESTAMP() - INTERVAL '10 MINUTES'\nLIMIT 100;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EYou can build custom alerts by querying this table on a schedule with Snowflake Tasks, or send logs to third-party monitoring tools like Grafana, Datadog, or Observe.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003ERecommended Configuration Summary\u003C/h2\u003E\n","\u003Cp\u003EHere's a summary of recommended settings for a production Postgres instance. Review the docs and your individual application needs — don't just copy paste this in.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Set up logging collector\nALTER SYSTEM SET logging_collector = 'on';\n\n-- Log system error messages\nALTER SYSTEM SET log_min_messages = 'error';\n\n-- Log all data definition changes\nALTER SYSTEM SET log_statement = 'ddl';\n\n-- Log the full statement for SQL errors\nALTER SYSTEM SET log_min_error_statement = 'ERROR';\n\n-- Set log file name\nALTER SYSTEM SET log_filename = 'postgresql-%Y-%m-%d';\n\n-- Add database name and process id to log prefix\nALTER SYSTEM SET log_line_prefix = '%m [%p] %q%u@%d ';\n\n-- Rotate logs every day\nALTER SYSTEM SET log_rotation_age = '1d';\n\n-- Enable pgaudit for DDL\nALTER SYSTEM SET pgaudit.log = 'ddl';\n\n-- Log queries longer than 1000ms\nALTER SYSTEM SET log_min_duration_statement = '1000';\n\n-- Log lock waits\nALTER SYSTEM SET log_lock_waits = 'on';\n\n-- Log temp files when Postgres needs disk instead of cache\nALTER SYSTEM SET log_temp_files = '4096';\n\n-- Log plans for queries that run longer than 1000ms\nALTER SYSTEM SET auto_explain.log_min_duration = '1000';\n\n-- Set up a log destination for searchability\nALTER SYSTEM SET log_destination = 'syslog';\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003Easide positive\nModeration is key with Postgres logging. Keep logs that are helpful, set up rotation so they're discarded after a few days or when they hit a certain size, and don't keep logs you aren't actively using.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion\u003C/h2\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n","\u003Cp\u003E<button>\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://www.crunchydata.com/blog/postgres-logging-for-performance-optimization\"\u003E🐘 Postgres Logging for Performance Optimization — Crunchy Data Blog\u003C/a\u003E\n</button>\u003C/p\u003E\n","\u003Cp\u003EThe full guide on Postgres logging covering everything from basic setup to performance monitoring.\u003C/p\u003E\n\u003Chr\u003E\n","\u003Cp\u003E<button>\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/getting-started-with-snowflake-postgres/\"\u003E❄️ Getting Started with Snowflake Postgres\u003C/a\u003E\n</button>\u003C/p\u003E\n","\u003Cp\u003ECreate a Snowflake Postgres instance, connect to it, and run your first queries.\u003C/p\u003E\n\u003Chr\u003E\n","\u003Cp\u003E<button>\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/snowflake-postgres-getting-started-with-tables/\"\u003E❄️ Getting Started with Snowflake Postgres Tables\u003C/a\u003E\n</button>\u003C/p\u003E\n","\u003Cp\u003ECreate databases, roles, schemas, tables, and learn about transactions and data masking.\u003C/p\u003E\n\u003Chr\u003E\n","\u003Cp\u003E<button>\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/snowflake-postgres-monitoring-grafana/\"\u003E❄️ Monitor Snowflake Postgres with Grafana\u003C/a\u003E\n</button>\u003C/p\u003E\n","\u003Cp\u003EConnect Grafana to the Snowflake event table for real-time Postgres dashboards and alerting.\u003C/p\u003E\n\u003Chr\u003E\n","\u003Cp\u003E<button>\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/snowflake-postgres-logs-to-datadog/\"\u003E❄️ Monitor Snowflake Postgres Logs with Datadog\u003C/a\u003E\n</button>\u003C/p\u003E\n","\u003Cp\u003ESend Postgres logs from the Snowflake event table to Datadog for monitoring and analysis.\u003C/p\u003E\n\u003Chr\u003E\n","\u003Cp\u003E<button>\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/developers/guides/snowflake-postgres-logs-to-observe/\"\u003E❄️ Monitor Snowflake Postgres with Observe\u003C/a\u003E\n</button>\u003C/p\u003E\n","\u003Cp\u003ESet up Postgres monitoring with Observe using the Observe for Snowflake native application.\u003C/p\u003E\n\u003Chr\u003E\n","\u003Cp\u003E<button>\u003C/p\u003E\n","\u003Cp\u003E\u003Ca href=\"https://www.postgresql.org/docs/current/runtime-config-logging.html\"\u003E🐘 PostgreSQL Documentation — Server Log\u003C/a\u003E\n</button>\u003C/p\u003E\n","\u003Cp\u003EOfficial PostgreSQL documentation on all logging configuration parameters.\u003C/p\u003E"],"description":"","title":"Postgres Logging for Performance Optimization","elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],":type":"snowflake-site/components/contentfragment","elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\nA modern Postgres instance creates robust and comprehensive logs for nearly every facet of database and query behavior. While logs are the go-to place for finding and debugging critical errors, they are also a key tool in application performance monitoring and overall system health.\n\nThere are two parts to a good logging setup:\n\n1. **Configuring what to log** — tuning Postgres settings so you capture the right level of detail (slow queries, lock waits, DDL changes, temp file usage) without overwhelming your disk or your team.\n2. **Hosting and searching your logs** — getting logs into a searchable system (pgBadger, Datadog, Observe, Snowflake event table, etc.) so they're ready when you need them.\n\nBoth steps matter. The best logging configuration in the world doesn't help if you can't find the relevant entries during an incident. And the fanciest log dashboard is useless if you aren't capturing the data you need.\n\n\u003C!-- ------------------------ --\u003E\n## Initiating Logging for Postgres\n\nOut of the box, Postgres sends logs to the terminal. To turn on sending things to log files, enable the logging collector.\n\n```sql\nALTER SYSTEM SET logging_collector = 'on';\n```\n\n### What File Format Do You Want for Logs?\n\nThe log message formatting is determined by the `log_destination` parameter, which can be set to one or more of: `stderr`, `csvlog`, `jsonlog`, and `syslog`. `stderr` is the default. Use commas to separate values when using more than one destination:\n\n```sql\n-- setting multiple log destinations\nALTER SYSTEM SET log_destination = 'stderr,jsonlog';\n```\n\nIf `logging_collector = 'on'`, then `stderr`, `csvlog`, and `jsonlog` logging will go to files in the directory specified by `log_directory`.\n\nMany hosted and fully managed systems have logs available in different formats for use by different tools. `syslog` is what you'll use on servers for log shipping to an external logging host.\n\n### What Level of Logging Do You Want?\n\nAll log messages generated by the server will have one of these severity levels:\n\n| Severity | Description |\n|----------|-------------|\n| PANIC | Severe errors — system must shut down and recover |\n| FATAL | Errors that cause the session to terminate |\n| ERROR | Errors that abort the current operation but not the session |\n| WARNING | Potential problems — deprecated features, possible data issues |\n| NOTICE | Significant messages — non-critical issues |\n| INFO | Low informational messages — autovacuum, config reloads |\n| DEBUG1-5 | Basic debug to most verbose |\n\nThe `log_min_messages` setting determines which messages are actually logged. All messages with the configured severity level or above will be sent. The default is `warning` and that's a generally good setting.\n\n```sql\nALTER SYSTEM SET log_min_messages = 'warning';\n```\n\n\u003C!-- ------------------------ --\u003E\n## Logging SQL Statements\n\nSQL queries can be selected for logging based on the `log_statement` parameter:\n\n| Value | What It Logs |\n|-------|-------------|\n| `none` | No SQL statements (errors still appear via `log_min_messages`) |\n| `ddl` | Data definition changes only — table, column, and index changes |\n| `mod` | All DDL plus inserts, updates, and deletes |\n| `all` | Every SQL statement and query (generally not recommended for production) |\n\nDDL is a good choice for production:\n\n```sql\nALTER SYSTEM SET log_statement = 'ddl';\n```\n\nStatements with syntax errors or that fail during parsing or planning are not covered by `log_statement`. These are covered by `log_min_error_statement`:\n\n```sql\nALTER SYSTEM SET log_min_error_statement = 'ERROR';\n```\n\nSQL errors will look like this:\n\n```\n2025-05-09 14:02:37 UTC [28561] ERROR:  operator does not exist: integer == integer at character 33\n2025-05-09 14:02:37 UTC [28561] HINT:  Perhaps you meant to use the standard operator \"=\".\n2025-05-09 14:02:37 UTC [28561] STATEMENT:  SELECT * FROM users WHERE id == 42;\n```\n\n### Logging Prepared Statements and Sensitive Data\n\nThe `log_parameter_max_length` and `log_parameter_max_length_on_error` parameters limit the length of bind parameter values logged with query and error log messages. This applies to both explicit prepared statements (`PREPARE` / `EXECUTE`) and the unnamed prepared statements used by application database drivers via the extended query protocol.\n\nSet them to `0` to fully disable bind parameter logging:\n\n```sql\nALTER SYSTEM SET log_parameter_max_length = 0;\nALTER SYSTEM SET log_parameter_max_length_on_error = 0;\n```\n\nThese can also be set per-session, per-transaction, per-user, or per-database:\n\n```sql\n-- set for a session\nSET SESSION log_parameter_max_length = 0;\n\n-- set for a transaction\nBEGIN;\nSET LOCAL log_parameter_max_length = 0;\nCOMMIT;\n\n-- set for all queries run by a specific user\nALTER ROLE app_user SET log_parameter_max_length = 0;\n\n-- set for all traffic on a specific database\nALTER DATABASE sensitive_db SET log_parameter_max_length = 0;\n```\n\n\u003C!-- ------------------------ --\u003E\n## Formatting Log Entries\n\nOut of the box, Postgres log entries look like this:\n\n```\n2025-05-19 13:49:04.908 EDT [3108283] ERROR: column \"asdfklasdf\" does not exist at character 8\n```\n\nThe timestamp and process ID come from the default `log_line_prefix`:\n\n```sql\n-- default\nlog_line_prefix = '%m [%p] '\n\n-- recommended: adds user and database context\nALTER SYSTEM SET log_line_prefix = '%m [%p]%q %u@%d ';\n```\n\nKeep the process ID (`%p`) — it's essential when troubleshooting a specific process. `%u` adds the user and `%d` adds the database, which is helpful when using multiple databases in a single instance.\n\nSee the [log_line_prefix documentation](https://www.postgresql.org/docs/current/runtime-config-logging.html#GUC-LOG-LINE-PREFIX) for the full list of `%` escape sequences.\n\nThe `log_error_verbosity` setting controls how verbose log messages are:\n\n| Setting | Behavior |\n|---------|----------|\n| `terse` | Shortened errors with SQL state error code |\n| `default` | Error and hint messages |\n| `verbose` | Additional context like source file and function names (not recommended for production) |\n\n\u003C!-- ------------------------ --\u003E\n## Log File Naming, Location, and Rotation\n\n### File Names and Location\n\nThe `log_filename` setting specifies log filenames using strftime escape patterns:\n\n```sql\n-- default (includes seconds, usually unnecessary)\nlog_filename = 'postgresql-%Y-%m-%d_%H%M%S.log'\n\n-- simpler daily format\nALTER SYSTEM SET log_filename = 'postgresql-%Y-%m-%d';\n```\n\nFind your current log location:\n\n```sql\nSHOW data_directory;\nSHOW log_directory;\nSHOW log_filename;\nSELECT pg_current_logfile();\n```\n\n### Rotating Logs\n\nWithout rotation, logs will fill up your disk.\n\n```sql\n-- rotate logs every day\nALTER SYSTEM SET log_rotation_age = '1d';\n\n-- rotate if file exceeds 10MB before the day is up\nALTER SYSTEM SET log_rotation_size = '10MB';\n\n-- truncate reused log filenames instead of appending\nALTER SYSTEM SET log_truncate_on_rotation = 'on';\n```\n\nIf your `log_filename` format does not result in automatic name re-use (e.g., `postgresql-%Y-%m-%d.log`), use an external tool like Linux's `logrotate` to remove old logs after archiving.\n\n\u003C!-- ------------------------ --\u003E\n## Audit Logging with PGAudit\n\nBeyond server and query logs, you can audit user behavior with the `PGAudit` extension. It records who performed an action, when it happened, and the exact changes made.\n\n```sql\n-- add to preloaded libraries (requires restart)\n-- shared_preload_libraries = 'pgaudit'\n\n-- create the extension\nCREATE EXTENSION pgaudit;\n\n-- enable audit logging\nALTER SYSTEM SET pgaudit.log = 'ddl';\n```\n\nPossible values for `pgaudit.log`: `read`, `write`, `role`, `ddl`, `misc`.\n\nYou can set audit logging per role:\n\n```sql\nALTER ROLE audited_user SET pgaudit.log = 'read, write, ddl';\n```\n\nAudit log output:\n\n```\n2025-05-09 12:34:56.789 UTC [12345] myuser@mydb LOG:  AUDIT: SESSION,1,SELECT,pg_catalog.pg_stat_activity,SELECT * FROM pg_stat_activity;\n```\n\n\u003E aside positive\n\u003E If you only need DDL logging without the additional auditing features of PGAudit (session info, role tracking), then `log_statement = 'ddl'` may be sufficient on its own.\n\n\u003C!-- ------------------------ --\u003E\n## Logging for Performance Monitoring\n\n### Logging Long Running Queries\n\nThe `log_min_duration_statement` parameter is PostgreSQL's slow query logging threshold:\n\n```sql\nALTER SYSTEM SET log_min_duration_statement = '1000';\n```\n\n```\nLOG:  duration: 2001.342 ms  statement: SELECT count(*) from orders;\n```\n\n### Logging Locks and Lock Waits\n\nEnable `log_lock_waits` to log when queries wait on locks. There is virtually no overhead and it's safe for production:\n\n```sql\nALTER SYSTEM SET log_lock_waits = 'on';\n```\n\nWith this enabled, the `deadlock_timeout` setting is used as the threshold. Lock wait entries show:\n\n```\n2024-05-16 14:45:12.345 UTC [45678] user@database LOG:  process 45678 still waiting for ShareLock on transaction 123456 after 1000.001 ms\n2024-05-16 14:45:12.345 UTC [45678] user@database DETAIL:  Process holding the lock: 12345. Wait queue: 45678, 45670.\n2024-05-16 14:45:12.345 UTC [45678] user@database STATEMENT:  UPDATE orders SET status = 'shipped' WHERE id = 42;\n```\n\n### Logging Temp Files\n\nIf queries perform reads or sorts on disk instead of in memory, it may mean you need to increase `work_mem`. Set `log_temp_files` to the same size as your `work_mem`:\n\n```sql\n-- log temp files \u003E 4MB (set to current work_mem in kB)\nALTER SYSTEM SET log_temp_files = '4096';\n```\n\n```\n2024-05-16 14:23:05.123 UTC [12345] user@database LOG:  temporary file: path \"base/pgsql_tmp/pgsql_tmp1234.0\", size 245760\n```\n\n### Query Plans with auto_explain\n\n`auto_explain` automatically logs EXPLAIN plans for slow queries:\n\n```sql\n-- create the extension\nCREATE EXTENSION IF NOT EXISTS auto_explain;\n\n-- log plans for queries that run longer than 1000ms\nALTER SYSTEM SET auto_explain.log_min_duration = '1000';\n```\n\n\u003E aside negative\n\u003E auto_explain generates a lot of log output. For really big queries or partitioned tables, plans can be very long. Consider setting it for a single session instead of globally when doing targeted performance work.\n\n### Autovacuum Logging\n\nThe `log_autovacuum_min_duration` parameter controls whether [autovacuum](/guide/vacuum) jobs are logged. It defaults to 10 minutes since PG15.\n\n```sql\n-- log all autovacuum operations that take longer than 1 second\nALTER SYSTEM SET log_autovacuum_min_duration = '1000';\n```\n\nAutovacuum log entries contain all the same information as `VACUUM VERBOSE` — pages removed, tuples removed, index scan details, I/O timings, buffer usage, WAL usage, and system resource usage.\n\n\u003C!-- ------------------------ --\u003E\n## Extracting and Parsing Logs\n\nHaving your logs accessible and searchable is critical for debugging and helpful for performance. Logs are like insurance — you may not need them every day, but when you have a problem, you're glad they're there.\n\n### pgBadger\n\n[pgBadger](https://github.com/darold/pgbadger) is an open source project that turns Postgres log output into an HTML page with zoomable charts. Run it periodically or on demand:\n\n```bash\n# send logs to a local text file\ncb logs \u003Ccluster-id\u003E \u003E pglogs.txt\n\n# pgBadger reads the text file and provides HTML output\npgbadger -f syslog pglogs.txt -o out.html\n```\n\n### Third-Party Log Drain Tools\n\nTools like pgAnalyze, Datadog, and Observe can host, parse, and let you search your logs. These run as an agent, container, or service to export logs.\n\n```sql\n-- set up syslog drain\nALTER SYSTEM SET log_destination = 'syslog';\n```\n\n### Data Warehousing for Logs\n\nFor large-scale applications, teams are opting to store and query logs in systems like Snowflake. When stored as flat files in object storage, these systems can be very cost effective for high-throughput log analysis.\n\n\u003C!-- ------------------------ --\u003E\n## Logging in Snowflake Postgres\n\nSnowflake Postgres automatically collects Postgres logs and metrics into the **Snowflake Event Table** at `SNOWFLAKE.TELEMETRY.EVENTS`. This gives you the full power of Snowflake SQL to query, aggregate, and alert on your Postgres telemetry data with no additional configuration.\n\n```sql\n-- Query the last 10 minutes of Postgres logs from the event table\nSELECT TIMESTAMP, VALUE:MESSAGE as log_line\nFROM SNOWFLAKE.TELEMETRY.EVENTS\nWHERE resource_attributes['snowflake.o11y.logtype'] = 'postgres-otelcol-vm-agent'\n  AND resource_attributes['instance.id'] = '\u003Cyour-instance-id\u003E'\n  AND record_type = 'LOG'\n  AND TIMESTAMP \u003E CURRENT_TIMESTAMP() - INTERVAL '10 MINUTES'\nLIMIT 100;\n```\n\nYou can build custom alerts by querying this table on a schedule with Snowflake Tasks, or send logs to third-party monitoring tools like Grafana, Datadog, or Observe.\n\n\u003C!-- ------------------------ --\u003E\n## Recommended Configuration Summary\n\nHere's a summary of recommended settings for a production Postgres instance. Review the docs and your individual application needs — don't just copy paste this in.\n\n```sql\n-- Set up logging collector\nALTER SYSTEM SET logging_collector = 'on';\n\n-- Log system error messages\nALTER SYSTEM SET log_min_messages = 'error';\n\n-- Log all data definition changes\nALTER SYSTEM SET log_statement = 'ddl';\n\n-- Log the full statement for SQL errors\nALTER SYSTEM SET log_min_error_statement = 'ERROR';\n\n-- Set log file name\nALTER SYSTEM SET log_filename = 'postgresql-%Y-%m-%d';\n\n-- Add database name and process id to log prefix\nALTER SYSTEM SET log_line_prefix = '%m [%p] %q%u@%d ';\n\n-- Rotate logs every day\nALTER SYSTEM SET log_rotation_age = '1d';\n\n-- Enable pgaudit for DDL\nALTER SYSTEM SET pgaudit.log = 'ddl';\n\n-- Log queries longer than 1000ms\nALTER SYSTEM SET log_min_duration_statement = '1000';\n\n-- Log lock waits\nALTER SYSTEM SET log_lock_waits = 'on';\n\n-- Log temp files when Postgres needs disk instead of cache\nALTER SYSTEM SET log_temp_files = '4096';\n\n-- Log plans for queries that run longer than 1000ms\nALTER SYSTEM SET auto_explain.log_min_duration = '1000';\n\n-- Set up a log destination for searchability\nALTER SYSTEM SET log_destination = 'syslog';\n```\n\n\u003E aside positive\n\u003E Moderation is key with Postgres logging. Keep logs that are helpful, set up rotation so they're discarded after a few days or when they hit a certain size, and don't keep logs you aren't actively using.\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion\n\n### Related Resources\n\n\u003Cbutton\u003E\n\n[🐘 Postgres Logging for Performance Optimization — Crunchy Data Blog](https://www.crunchydata.com/blog/postgres-logging-for-performance-optimization)\n\u003C/button\u003E\n\nThe full guide on Postgres logging covering everything from basic setup to performance monitoring.\n\n---\n\n\u003Cbutton\u003E\n\n[❄️ Getting Started with Snowflake Postgres](https://www.snowflake.com/en/developers/guides/getting-started-with-snowflake-postgres/)\n\u003C/button\u003E\n\nCreate a Snowflake Postgres instance, connect to it, and run your first queries.\n\n---\n\n\u003Cbutton\u003E\n\n[❄️ Getting Started with Snowflake Postgres Tables](https://www.snowflake.com/en/developers/guides/snowflake-postgres-getting-started-with-tables/)\n\u003C/button\u003E\n\nCreate databases, roles, schemas, tables, and learn about transactions and data masking.\n\n---\n\n\u003Cbutton\u003E\n\n[❄️ Monitor Snowflake Postgres with Grafana](https://www.snowflake.com/en/developers/guides/snowflake-postgres-monitoring-grafana/)\n\u003C/button\u003E\n\nConnect Grafana to the Snowflake event table for real-time Postgres dashboards and alerting.\n\n---\n\n\u003Cbutton\u003E\n\n[❄️ Monitor Snowflake Postgres Logs with Datadog](https://www.snowflake.com/en/developers/guides/snowflake-postgres-logs-to-datadog/)\n\u003C/button\u003E\n\nSend Postgres logs from the Snowflake event table to Datadog for monitoring and analysis.\n\n---\n\n\u003Cbutton\u003E\n\n[❄️ Monitor Snowflake Postgres with Observe](https://www.snowflake.com/en/developers/guides/snowflake-postgres-logs-to-observe/)\n\u003C/button\u003E\n\nSet up Postgres monitoring with Observe using the Observe for Snowflake native application.\n\n---\n\n\u003Cbutton\u003E\n\n[🐘 PostgreSQL Documentation — Server Log](https://www.postgresql.org/docs/current/runtime-config-logging.html)\n\u003C/button\u003E\n\nOfficial PostgreSQL documentation on all logging configuration parameters.\n\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},":items":{},":itemsOrder":[],"isDeveloperGuidesPage":true,"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-d36820cf26","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-5da4da5a86",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-99c2763a59","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2026-07-08",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-87080f05ac","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. It may be out of date with current Snowflake 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