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full end-to-end setup for streaming logs from a Snowflake Postgres instance into Datadog using Snowflake's native event table and Datadog's Snowflake integration.\u003C/p\u003E\n","\u003Cp\u003ESnowflake Postgres logs are routed through Snowflake's account-level event table at \u003Ccode\u003ESNOWFLAKE.TELEMETRY.EVENTS\u003C/code\u003E. This table is the bridge between your Postgres instance and Datadog.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWhat you'll build:\u003C/strong\u003E A pipeline where Snowflake Postgres logs are captured in Snowflake's event table and automatically ingested into Datadog's Log Explorer for monitoring, searching, and alerting.\u003C/p\u003E\n\u003Chr\u003E\n","\u003Ch3\u003EWhat You'll Learn\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to configure Postgres logging parameters on a Snowflake Postgres instance\u003C/li\u003E\u003Cli\u003EHow Snowflake's event table captures and stores Postgres logs\u003C/li\u003E\u003Cli\u003EHow to set up Snowflake roles, grants, and network policies for Datadog\u003C/li\u003E\u003Cli\u003EHow to configure Datadog's Snowflake integration for log ingestion\u003C/li\u003E\u003Cli\u003EHow to verify logs flow end-to-end from Postgres to Datadog\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EA \u003Cstrong\u003ESnowflake account\u003C/strong\u003E with \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E access (needed for grants and network policies)\u003C/li\u003E\u003Cli\u003EA \u003Cstrong\u003ESnowflake Postgres instance\u003C/strong\u003E in READY state (or ability to create one)\u003C/li\u003E\u003Cli\u003EA \u003Cstrong\u003EDatadog account\u003C/strong\u003E with admin access to configure integrations\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EOpenSSL\u003C/strong\u003E installed locally (for RSA key generation)\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003Epsql\u003C/strong\u003E installed locally (for testing connections)\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EKnow your Datadog site.\u003C/strong\u003E This guide uses placeholder values. Replace them with your site-specific values (US1, US3, US5, EU1, AP1). Your site determines the IP ranges to whitelist and the Datadog URLs.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E1. Enable Postgres Logging\u003C/h2\u003E\n","\u003Cp\u003ESnowflake Postgres supports standard PostgreSQL logging parameters. Before flipping switches, it helps to understand what Postgres can log and why it matters.\u003C/p\u003E\n","\u003Ch3\u003EA Quick Primer on Postgres Logging\u003C/h3\u003E\n","\u003Cp\u003EA modern Postgres instance produces comprehensive logs covering nearly every facet of database behavior. While logs are the go-to place for finding critical errors, they're also a key tool for application performance monitoring. Here are the parameters you should know about:\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ELog severity level (\u003Ccode\u003Elog_min_messages\u003C/code\u003E):\u003C/strong\u003E Controls which server messages are logged based on severity. Setting a level includes that level and everything above it. The default in Snowflake Postgres is \u003Ccode\u003ENOTICE\u003C/code\u003E, which is a sensible baseline for most environments.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003EDEBUG5\u003C/code\u003E through \u003Ccode\u003EDEBUG1\u003C/code\u003E — Increasingly verbose developer diagnostics. Rarely useful outside of Postgres core development.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003EINFO\u003C/code\u003E — Messages explicitly requested by the user (e.g., output from \u003Ccode\u003EVACUUM VERBOSE\u003C/code\u003E).\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003ENOTICE\u003C/code\u003E — Information the user should know about, such as truncation of long identifiers or index creation hints. \u003Cstrong\u003E(default)\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003EWARNING\u003C/code\u003E — Potential problems that don't prevent the operation from completing (e.g., committing outside a transaction block).\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003EERROR\u003C/code\u003E — The current command failed and was aborted, but the session continues.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003ELOG\u003C/code\u003E — Operational messages useful for administrators (e.g., checkpoint activity, connection authorized).\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003EFATAL\u003C/code\u003E — The current session is terminated due to an unrecoverable error.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003EPANIC\u003C/code\u003E — The entire database server is shut down. All sessions are aborted.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003EWhat SQL to log (\u003Ccode\u003Elog_statement\u003C/code\u003E):\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003Enone\u003C/code\u003E — Don't log SQL statements (errors and warnings still appear via \u003Ccode\u003Elog_min_messages\u003C/code\u003E)\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003Eddl\u003C/code\u003E — Log data definition changes only (table, column, and index changes). A good default for production.\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003Emod\u003C/code\u003E — Log all DDL plus data modifications (INSERT, UPDATE, DELETE)\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003Eall\u003C/code\u003E — Log every SQL statement. Useful for development and debugging but generates high log volume.\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E\u003Cstrong\u003ESlow query logging (\u003Ccode\u003Elog_min_duration_statement\u003C/code\u003E):\u003C/strong\u003E Captures queries that exceed a time threshold — a great way to surface inefficient queries without logging everything. A setting of \u003Ccode\u003E1s\u003C/code\u003E or \u003Ccode\u003E500ms\u003C/code\u003E is a common starting point.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ELock wait logging (\u003Ccode\u003Elog_lock_waits\u003C/code\u003E):\u003C/strong\u003E Logs any time a query waits on a lock longer than \u003Ccode\u003Edeadlock_timeout\u003C/code\u003E. This is safe for production with virtually no overhead and helps identify contention.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETemp file logging (\u003Ccode\u003Elog_temp_files\u003C/code\u003E):\u003C/strong\u003E Logs when Postgres spills operations to disk instead of keeping them in memory. Set this to your \u003Ccode\u003Ework_mem\u003C/code\u003E value to catch operations that exceed available memory — a signal you may need to tune memory settings, add indexes, or rewrite queries.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EConnection logging (\u003Ccode\u003Elog_connections\u003C/code\u003E, \u003Ccode\u003Elog_disconnections\u003C/code\u003E):\u003C/strong\u003E Logs session connect and disconnect events. Helpful for auditing and spotting connection churn.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EProduction vs. development trade-off:\u003C/strong\u003E \u003Ccode\u003Elog_statement=all\u003C/code\u003E generates a lot of log data and is generally not recommended for production workloads. For production, \u003Ccode\u003Eddl\u003C/code\u003E combined with \u003Ccode\u003Elog_min_duration_statement\u003C/code\u003E for slow queries gives you the important details without the volume. For this guide, we use \u003Ccode\u003Eall\u003C/code\u003E so every test query is visible in Datadog.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EFor a deeper dive on logging configuration, log formats, rotation, \u003Ccode\u003Eauto_explain\u003C/code\u003E, and using logs for performance tuning, see \u003Ca href=\"https://www.crunchydata.com/blog/postgres-logging-for-performance-optimization\"\u003EPostgres Logging for Performance Optimization\u003C/a\u003E.\u003C/p\u003E\n","\u003Ch3\u003ESnowflake Postgres log line prefix\u003C/h3\u003E\n","\u003Cp\u003EThe default \u003Ccode\u003Elog_line_prefix\u003C/code\u003E on Snowflake Postgres is:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003E[%p][%b][%v][%x] %q[user=%u,db=%d,app=%a] [%h]\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThis is a printf-style format string that gets prepended to every log line. Each escape sequence maps to a piece of metadata:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EEscape\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EMeaning\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EExample output\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E%p\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EProcess ID (pid)\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E1592908\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E%b\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EBackend type\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Eclient backend\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E%v\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EVirtual transaction ID\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E27/2\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E%x\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETransaction ID\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E0\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E%q\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ENon-session stop point (everything after \u003Ccode\u003E%q\u003C/code\u003E only prints for session processes)\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E(controls conditional output)\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E%u\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUsername\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Esnowflake_admin\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E%d\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDatabase name\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Epostgres\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E%a\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EApplication name\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Epsql\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E%h\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EClient hostname/IP\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003E34.214.158.144\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EConfigure Logging on Your Snowflake Postgres Instance\u003C/h3\u003E\n","\u003Cp\u003EBy default, Snowflake Postgres does not generate logs. You will need to set \u003Ccode\u003Elog_statement\u003C/code\u003E to enable them. If you do not have a production instance, you can set this to \u003Ccode\u003Eall\u003C/code\u003E for testing log ingestion. For production, review your necessary configurations.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EALTER SYSTEM SET log_statement = 'all';\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E2. Confirm Logs in the Snowflake Event Table\u003C/h2\u003E\n","\u003Cp\u003EAfter enabling logging (above), run a few queries against your Postgres instance to generate some log data. If you set \u003Ccode\u003Elog_statement\u003C/code\u003E to \u003Ccode\u003Eall\u003C/code\u003E, here's a sample to run:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ECREATE TABLE cookie_monster (\n    id SERIAL PRIMARY KEY,\n    cookie_type VARCHAR(100),\n    flavor VARCHAR(50),\n    crunchiness INT CHECK (crunchiness BETWEEN 1 AND 10),\n    nom_rating DECIMAL(3,1),\n    eaten_at TIMESTAMP DEFAULT NOW()\n);\n\nINSERT INTO cookie_monster (cookie_type, flavor, crunchiness, nom_rating)\nVALUES\n    ('Chocolate Chip', 'chocolate', 8, 9.5),\n    ('Snickerdoodle', 'cinnamon', 6, 8.7),\n    ('Oatmeal Raisin', 'oat', 7, 7.2),\n    ('Double Chocolate', 'dark chocolate', 9, 9.8),\n    ('Peanut Butter', 'peanut', 5, 8.1);\n\nSELECT * FROM cookie_monster WHERE crunchiness > 7;\nSELECT cookie_type, nom_rating FROM cookie_monster ORDER BY nom_rating DESC;\nSELECT AVG(crunchiness) AS avg_crunch, MAX(nom_rating) AS best_nom FROM cookie_monster;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENow verify that logs appear in the event table:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Replace the instance ID with your Postgres instance's ID\n-- Find it with: SHOW POSTGRES INSTANCES;  \nSELECT\n    TIMESTAMP,\n    RESOURCE_ATTRIBUTES['instance.id']::STRING AS instance_id,\n    VALUE['MESSAGE']::STRING AS message\nFROM SNOWFLAKE.TELEMETRY.EVENTS\nWHERE TIMESTAMP > DATEADD('hour', -1, CURRENT_TIMESTAMP())\n  AND RECORD_TYPE = 'LOG'\n  AND RESOURCE_ATTRIBUTES['instance.id']::STRING = '<YOUR_INSTANCE_ID>'\nORDER BY TIMESTAMP DESC\nLIMIT 20;\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETip:\u003C/strong\u003E To find your Postgres instance ID, run \u003Ccode\u003ESHOW POSTGRES INSTANCES;\u003C/code\u003E Use the first segment of the host column (everything before the first period). For example, if host is 4jypgsndvzd5ta6ufaryx6owja.sfdevrel-sfdevrel-enterprise.us-west-2.aws.postgres.snowflake.app, the instance ID is 4jypgsndvzd5ta6ufaryx6owja.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E3. Create the Snowflake Role and Grants\u003C/h2\u003E\n","\u003Cp\u003EDatadog connects to Snowflake as a dedicated role with specific privileges. This role needs access to account usage, monitoring, and the event table.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Use ACCOUNTADMIN to create the role and assign grants\nUSE ROLE ACCOUNTADMIN;\n\n-- Create the Datadog role\nCREATE ROLE IF NOT EXISTS DATADOG;\nGRANT ROLE DATADOG TO ROLE ACCOUNTADMIN;\n\n-- CRITICAL: Grant IMPORTED PRIVILEGES on the SNOWFLAKE database\n-- This is required for Datadog to read the event table and account usage views.\n-- Using just USAGE is NOT sufficient -- you must use IMPORTED PRIVILEGES.\nGRANT IMPORTED PRIVILEGES ON DATABASE SNOWFLAKE TO ROLE DATADOG;\n\n-- Grant monitoring access\nGRANT MONITOR USAGE ON ACCOUNT TO ROLE DATADOG;\n\n-- Grant warehouse usage (replace with your warehouse name)\nGRANT USAGE ON WAREHOUSE MY_WAREHOUSE TO ROLE DATADOG;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ENote that \u003Ccode\u003EIMPORTED PRIVILEGES ON DATABASE SNOWFLAKE\u003C/code\u003E grant is \u003Ccode\u003EACCOUNTADMIN\u003C/code\u003E only with no workaround. Some other SQL could be done with lower permissions.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003ESHOW GRANTS TO ROLE DATADOG;\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E4. Generate RSA Key Pair\u003C/h2\u003E\n","\u003Cp\u003EDatadog authenticates to Snowflake using RSA key-pair authentication (not password). You'll generate a key pair, give the public key to Snowflake, and give the private key to Datadog.\u003C/p\u003E\n","\u003Ch3\u003EGenerate the Keys\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003E# Create a directory for the keys\nmkdir -p ~/.snowflake/datadog_keys\n\n# Generate an unencrypted RSA private key (PKCS#8 format)\nopenssl genrsa 2048 | openssl pkcs8 -topk8 -inform PEM -out ~/.snowflake/datadog_keys/datadog_rsa_key.p8 -nocrypt\n\n# Extract the public key\nopenssl rsa -in ~/.snowflake/datadog_keys/datadog_rsa_key.p8 -pubout -out ~/.snowflake/datadog_keys/datadog_rsa_key.pub\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003EGet the Public Key Value (for Snowflake)\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-bash\"\u003E# Print the public key without the header/footer lines (this is what Snowflake expects)\ngrep -v "BEGIN\\|END" ~/.snowflake/datadog_keys/datadog_rsa_key.pub | tr -d '\\n'\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003ECopy the output -- you'll paste it into the \u003Ccode\u003EALTER USER\u003C/code\u003E command in the next step.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E5. Create the Snowflake Service User\u003C/h2\u003E\n","\u003Cp\u003ECreate a dedicated service user for Datadog. This user authenticates with the RSA key pair (no password).\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EKey distinction:\u003C/strong\u003E \u003Ccode\u003EDATADOG\u003C/code\u003E is the \u003Cstrong\u003Erole\u003C/strong\u003E. \u003Ccode\u003EDATADOG_USER\u003C/code\u003E is the \u003Cstrong\u003Euser\u003C/strong\u003E. When configuring Datadog, you'll enter \u003Ccode\u003EDATADOG_USER\u003C/code\u003E as the username and \u003Ccode\u003EDATADOG\u003C/code\u003E as the role. Mixing these up is a common source of "integration broken" errors.\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE ACCOUNTADMIN;\n\n-- Create the service user\nCREATE USER IF NOT EXISTS DATADOG_USER\n  TYPE = SERVICE\n  DEFAULT_ROLE = DATADOG\n  DEFAULT_WAREHOUSE = MY_WAREHOUSE\n  DEFAULT_NAMESPACE = SNOWFLAKE.TELEMETRY;\n\n-- Assign the RSA public key (paste the key value from Step 4)\nALTER USER DATADOG_USER SET RSA_PUBLIC_KEY = '<paste_public_key_here>';\n\n-- Grant the DATADOG role to the user\nGRANT ROLE DATADOG TO USER DATADOG_USER;\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E6. Add Network Permissions for Datadog\u003C/h2\u003E\n","\u003Cp\u003EDatadog connects to your Snowflake account to poll for data. If your account or Postgres instance has network policies in place, you need to whitelist Datadog's IP ranges so these connections are allowed.\u003C/p\u003E\n","\u003Ch3\u003EFind Your Datadog Site's IP Ranges\u003C/h3\u003E\n","\u003Cp\u003EDatadog publishes its IP ranges at a site-specific URL. The ranges you need are under the webhooks section.\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EDatadog Site\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EIP Ranges URL\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUS1\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ehttps://ip-ranges.datadoghq.com/\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUS3\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ehttps://ip-ranges.us3.datadoghq.com/\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUS5\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ehttps://ip-ranges.us5.datadoghq.com/\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EEU1\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ehttps://ip-ranges.datadoghq.eu/\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAP1\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Ehttps://ip-ranges.ap1.datadoghq.com/\u003C/code\u003E\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Cp\u003EOpen the URL for your site and look for the \u003Ccode\u003Ewebhooks.prefixes_ipv4\u003C/code\u003E array. These are the CIDR ranges to whitelist.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EExample (US5 as of writing):\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ccode\u003E34.149.66.128/26\u003C/code\u003E\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E34.160.40.115/32\u003C/code\u003E\u003C/li\u003E\u003Cli\u003E\u003Ccode\u003E35.244.255.175/32\u003C/code\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ECheck this URL regularly.\u003C/strong\u003E Datadog may add new IP ranges over time. If your integration stops working, check for updated IPs.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003ECreate the Network Rules\u003C/h3\u003E\n","\u003Cp\u003EYou need both ingress (Datadog connecting to Snowflake) and egress (Snowflake responding to Datadog) rules:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003EUSE ROLE ACCOUNTADMIN;\n\n-- Ingress rule: allows Datadog to connect to Snowflake\nCREATE OR REPLACE NETWORK RULE DATADOG_INGRESS\n  TYPE = IPV4\n  MODE = INGRESS\n  VALUE_LIST = (\n    '34.149.66.128/26',\n    '34.160.40.115/32',\n    '35.244.255.175/32'\n  );\n\n-- Egress rule: allows Snowflake to respond to Datadog\nCREATE OR REPLACE NETWORK RULE DATADOG_EGRESS\n  TYPE = IPV4\n  MODE = EGRESS\n  VALUE_LIST = (\n    '34.149.66.128/26',\n    '34.160.40.115/32',\n    '35.244.255.175/32'\n  );\n\n-- Create a network policy using both rules\nCREATE OR REPLACE NETWORK POLICY DATADOG_NETWORK_POLICY\n  ALLOWED_NETWORK_RULE_LIST = ('DATADOG_INGRESS', 'DATADOG_EGRESS');\n\n-- Assign the policy to the Datadog user\nALTER USER DATADOG_USER SET NETWORK_POLICY = 'DATADOG_NETWORK_POLICY';\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EScope the policy to the user, not the account.\u003C/strong\u003E Applying a network policy at the account level could lock out other users. Apply it only to \u003Ccode\u003EDATADOG_USER\u003C/code\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E Datadog may add or change IP ranges over time. When this happens, update your existing network rules rather than recreating the policy.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E7. Configure the Datadog Snowflake Integration\u003C/h2\u003E\n","\u003Cp\u003ENow configure Datadog to connect to your Snowflake account using the role, user, and key you've set up.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003ELog into your Datadog account\u003C/li\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003EIntegrations\u003C/strong\u003E > \u003Cstrong\u003EIntegrations\u003C/strong\u003E (or search for "Snowflake")\u003C/li\u003E\u003Cli\u003EClick the \u003Cstrong\u003ESnowflake\u003C/strong\u003E integration tile\u003C/li\u003E\u003Cli\u003EClick \u003Cstrong\u003E+ Add Account\u003C/strong\u003E\u003C/li\u003E\u003Cli\u003EFill in the fields:\u003C/li\u003E\u003C/ol\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Cstrong\u003EAccount URL\u003C/strong\u003E: \u003Ccode\u003E<your-account>.snowflakecomputing.com\u003C/code\u003E\u003C/li\u003E\u003Cli\u003E\u003Cstrong\u003EUsername\u003C/strong\u003E: \u003Ccode\u003EDATADOG_USER\u003C/code\u003E\u003C/li\u003E\u003C/ul\u003E\n\u003Col start=\"6\"\u003E\u003Cli\u003E\n","\u003Cp\u003EUnder \u003Cstrong\u003EData Collection\u003C/strong\u003E, enable the settings you'd like for your account. Make sure that \u003Cstrong\u003EEvents Records:\u003C/strong\u003E is toggled on — these are the Postgres logs.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EUpload the private key file from above.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick \u003Cstrong\u003ESave\u003C/strong\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003EAccount URL Format\u003C/h3\u003E\n","\u003Cp\u003EThis can be a common source of errors. Datadog normalizes underscores to hyphens in URLs, which can break the connection for accounts with underscores in their name.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003EUse one of these formats:\u003C/strong\u003E\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EFormat\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EExample\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003ENotes\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EConnection alias\u003C/strong\u003E (recommended)\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Emyorg-myalias.snowflakecomputing.com\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMost reliable if you have one set up\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003ELegacy locator\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Emyaccount.us-west-2.snowflakecomputing.com\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EInclude the region\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Cstrong\u003EOrg-account (regionless)\u003C/strong\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003E\u003Ccode\u003Emyorg-myaccount.snowflakecomputing.com\u003C/code\u003E\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EMay fail if account name has underscores\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EIf your account name contains underscores\u003C/strong\u003E (e.g., \u003Ccode\u003EMY_ACCOUNT\u003C/code\u003E), Datadog may convert it to \u003Ccode\u003EMY-ACCOUNT\u003C/code\u003E in the URL, causing authentication to fail. Use a connection alias or the legacy locator format to work around this.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETo create a connection alias in Snowflake:\u003C/strong\u003E\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Via Snowsight: Admin > Accounts > select account > Create Connection\n-- Or via SQL:\nCREATE CONNECTION MY_ALIAS;\nALTER CONNECTION MY_ALIAS SET COMMENT = 'Alias for Datadog integration';\n\u003C/code\u003E\u003C/pre\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003E8. Generate Test Logs and Verify\u003C/h2\u003E\n","\u003Cp\u003EWith everything configured, generate some test traffic against your Postgres instance and verify the logs flow through to Datadog. See the above steps for generating data and checking the event table.\u003C/p\u003E\n","\u003Ch3\u003EVerify in Datadog\u003C/h3\u003E\n\u003Col\u003E\u003Cli\u003ENavigate to \u003Cstrong\u003ELogs\u003C/strong\u003E > \u003Cstrong\u003ELog Explorer\u003C/strong\u003E in Datadog\u003C/li\u003E\u003Cli\u003ESearch for \u003Ccode\u003Epostgres\u003C/code\u003E in the search bar to see logs being generated for the Postgres service.\u003C/li\u003E\u003Cli\u003EYou should see log entries with the SQL queries you ran. Filter by some of your sample query syntax like \u003Ccode\u003Ecookie_monster\u003C/code\u003E to make sure you're seeing logs that you expect.\u003C/li\u003E\u003C/ol\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ETiming:\u003C/strong\u003E Datadog polls the event table at the interval you configured. If you set it to 1 hour, it may take up to an hour for new logs to appear. For testing, consider temporarily reducing the interval.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Cp\u003EFrom here you can use Datadog's tools to search, filter, and create alerts around the Postgres logs.\u003C/p\u003E\n","\u003Cp\u003ESnowflake Postgres also sends \u003Ccode\u003ERECORD_TYPE = 'METRIC'\u003C/code\u003E to the event table, in addition to \u003Ccode\u003ERECORD_TYPE = 'LOG'\u003C/code\u003E. Currently the Datadog web integration does not support metrics. However, events could be ingested through other API processes or agents. See \u003Ca href=\"https://docs.datadoghq.com/api/latest/metrics/\"\u003Emetrics API\u003C/a\u003E and \u003Ca href=\"https://docs.datadoghq.com/metrics/custom_metrics/dogstatsd_metrics_submission/?tab=python\"\u003Emetric submission\u003C/a\u003E for more details.\u003C/p\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EConclusion and Resources\u003C/h2\u003E\n","\u003Cp\u003ECongratulations! You've built an end-to-end pipeline that streams Postgres logs from Snowflake into Datadog for monitoring, searching, and alerting.\u003C/p\u003E\n","\u003Ch3\u003EWhat You Learned\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to configure Postgres logging parameters on a Snowflake Postgres instance\u003C/li\u003E\u003Cli\u003EHow the Snowflake event table captures and stores Postgres logs\u003C/li\u003E\u003Cli\u003EHow to create a dedicated Snowflake role and service user for Datadog with the correct grants\u003C/li\u003E\u003Cli\u003EHow to generate and configure RSA key-pair authentication\u003C/li\u003E\u003Cli\u003EHow to whitelist Datadog's IP ranges with Snowflake network policies\u003C/li\u003E\u003Cli\u003EHow to configure and verify the Datadog Snowflake integration\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EResources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/snowflake-postgres/postgres-logging\"\u003ESnowflake Postgres Logging\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://www.postgresql.org/docs/current/runtime-config-logging.html\"\u003EPostgreSQL Log Configuration Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.datadoghq.com/integrations/snowflake/\"\u003EDatadog Snowflake Integration Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-setting-up\"\u003ESnowflake Event Table Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://docs.snowflake.com/en/user-guide/tables-postgres\"\u003ESnowflake Postgres Documentation\u003C/a\u003E\u003C/li\u003E\u003Cli\u003E\u003Ca href=\"https://www.crunchydata.com/blog/postgres-logging-for-performance-optimization\"\u003EBlog: Postgres Logging for Performance Optimization\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E"],"isDeveloperGuidesPage":false,":type":"snowflake-site/components/contentfragment",":items":{},":itemsOrder":[],"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n## Overview\n\nThis guide walks through the full end-to-end setup for streaming logs from a Snowflake Postgres instance into Datadog using Snowflake's native event table and Datadog's Snowflake integration.\n\nSnowflake Postgres logs are routed through Snowflake's account-level event table at `SNOWFLAKE.TELEMETRY.EVENTS`. This table is the bridge between your Postgres instance and Datadog.\n\n**What you'll build:** A pipeline where Snowflake Postgres logs are captured in Snowflake's event table and automatically ingested into Datadog's Log Explorer for monitoring, searching, and alerting.\n\n---\n\n### What You'll Learn\n\n- How to configure Postgres logging parameters on a Snowflake Postgres instance\n- How Snowflake's event table captures and stores Postgres logs\n- How to set up Snowflake roles, grants, and network policies for Datadog\n- How to configure Datadog's Snowflake integration for log ingestion\n- How to verify logs flow end-to-end from Postgres to Datadog\n\n### Prerequisites\n\n- A **Snowflake account** with `ACCOUNTADMIN` access (needed for grants and network policies)\n- A **Snowflake Postgres instance** in READY state (or ability to create one)\n- A **Datadog account** with admin access to configure integrations\n- **OpenSSL** installed locally (for RSA key generation)\n- **psql** installed locally (for testing connections)\n\n\u003E **Know your Datadog site.** This guide uses placeholder values. Replace them with your site-specific values (US1, US3, US5, EU1, AP1). Your site determines the IP ranges to whitelist and the Datadog URLs.\n\n\u003C!-- ------------------------ --\u003E\n## 1. Enable Postgres Logging\n\nSnowflake Postgres supports standard PostgreSQL logging parameters. Before flipping switches, it helps to understand what Postgres can log and why it matters.\n\n### A Quick Primer on Postgres Logging\n\nA modern Postgres instance produces comprehensive logs covering nearly every facet of database behavior. While logs are the go-to place for finding critical errors, they're also a key tool for application performance monitoring. Here are the parameters you should know about:\n\n**Log severity level (`log_min_messages`):** Controls which server messages are logged based on severity. Setting a level includes that level and everything above it. The default in Snowflake Postgres is `NOTICE`, which is a sensible baseline for most environments.\n\n- `DEBUG5` through `DEBUG1` — Increasingly verbose developer diagnostics. Rarely useful outside of Postgres core development.\n- `INFO` — Messages explicitly requested by the user (e.g., output from `VACUUM VERBOSE`).\n- `NOTICE` — Information the user should know about, such as truncation of long identifiers or index creation hints. **(default)**\n- `WARNING` — Potential problems that don't prevent the operation from completing (e.g., committing outside a transaction block).\n- `ERROR` — The current command failed and was aborted, but the session continues.\n- `LOG` — Operational messages useful for administrators (e.g., checkpoint activity, connection authorized).\n- `FATAL` — The current session is terminated due to an unrecoverable error.\n- `PANIC` — The entire database server is shut down. All sessions are aborted.\n\n**What SQL to log (`log_statement`):**\n- `none` — Don't log SQL statements (errors and warnings still appear via `log_min_messages`)\n- `ddl` — Log data definition changes only (table, column, and index changes). A good default for production.\n- `mod` — Log all DDL plus data modifications (INSERT, UPDATE, DELETE)\n- `all` — Log every SQL statement. Useful for development and debugging but generates high log volume.\n\n**Slow query logging (`log_min_duration_statement`):** Captures queries that exceed a time threshold — a great way to surface inefficient queries without logging everything. A setting of `1s` or `500ms` is a common starting point.\n\n**Lock wait logging (`log_lock_waits`):** Logs any time a query waits on a lock longer than `deadlock_timeout`. This is safe for production with virtually no overhead and helps identify contention.\n\n**Temp file logging (`log_temp_files`):** Logs when Postgres spills operations to disk instead of keeping them in memory. Set this to your `work_mem` value to catch operations that exceed available memory — a signal you may need to tune memory settings, add indexes, or rewrite queries.\n\n**Connection logging (`log_connections`, `log_disconnections`):** Logs session connect and disconnect events. Helpful for auditing and spotting connection churn.\n\n\u003E **Production vs. development trade-off:** `log_statement=all` generates a lot of log data and is generally not recommended for production workloads. For production, `ddl` combined with `log_min_duration_statement` for slow queries gives you the important details without the volume. For this guide, we use `all` so every test query is visible in Datadog.\n\nFor a deeper dive on logging configuration, log formats, rotation, `auto_explain`, and using logs for performance tuning, see [Postgres Logging for Performance Optimization](https://www.crunchydata.com/blog/postgres-logging-for-performance-optimization).\n\n### Snowflake Postgres log line prefix\n\nThe default `log_line_prefix` on Snowflake Postgres is:\n\n```\n[%p][%b][%v][%x] %q[user=%u,db=%d,app=%a] [%h]\n```\n\nThis is a printf-style format string that gets prepended to every log line. Each escape sequence maps to a piece of metadata:\n\n| Escape | Meaning | Example output |\n|---|---|---|\n| `%p` | Process ID (pid) | `1592908` |\n| `%b` | Backend type | `client backend` |\n| `%v` | Virtual transaction ID | `27/2` |\n| `%x` | Transaction ID | `0` |\n| `%q` | Non-session stop point (everything after `%q` only prints for session processes) | (controls conditional output) |\n| `%u` | Username | `snowflake_admin` |\n| `%d` | Database name | `postgres` |\n| `%a` | Application name | `psql` |\n| `%h` | Client hostname/IP | `34.214.158.144` |\n\n### Configure Logging on Your Snowflake Postgres Instance\n\nBy default, Snowflake Postgres does not generate logs. You will need to set `log_statement` to enable them. If you do not have a production instance, you can set this to `all` for testing log ingestion. For production, review your necessary configurations.\n\n```sql\nALTER SYSTEM SET log_statement = 'all';\n```\n\n\u003C!-- ------------------------ --\u003E\n## 2. Confirm Logs in the Snowflake Event Table\n\nAfter enabling logging (above), run a few queries against your Postgres instance to generate some log data. If you set `log_statement` to `all`, here's a sample to run:\n\n```sql\nCREATE TABLE cookie_monster (\n    id SERIAL PRIMARY KEY,\n    cookie_type VARCHAR(100),\n    flavor VARCHAR(50),\n    crunchiness INT CHECK (crunchiness BETWEEN 1 AND 10),\n    nom_rating DECIMAL(3,1),\n    eaten_at TIMESTAMP DEFAULT NOW()\n);\n\nINSERT INTO cookie_monster (cookie_type, flavor, crunchiness, nom_rating)\nVALUES\n    ('Chocolate Chip', 'chocolate', 8, 9.5),\n    ('Snickerdoodle', 'cinnamon', 6, 8.7),\n    ('Oatmeal Raisin', 'oat', 7, 7.2),\n    ('Double Chocolate', 'dark chocolate', 9, 9.8),\n    ('Peanut Butter', 'peanut', 5, 8.1);\n\nSELECT * FROM cookie_monster WHERE crunchiness \u003E 7;\nSELECT cookie_type, nom_rating FROM cookie_monster ORDER BY nom_rating DESC;\nSELECT AVG(crunchiness) AS avg_crunch, MAX(nom_rating) AS best_nom FROM cookie_monster;\n```\n\nNow verify that logs appear in the event table:\n\n```sql\n-- Replace the instance ID with your Postgres instance's ID\n-- Find it with: SHOW POSTGRES INSTANCES;  \nSELECT\n    TIMESTAMP,\n    RESOURCE_ATTRIBUTES['instance.id']::STRING AS instance_id,\n    VALUE['MESSAGE']::STRING AS message\nFROM SNOWFLAKE.TELEMETRY.EVENTS\nWHERE TIMESTAMP \u003E DATEADD('hour', -1, CURRENT_TIMESTAMP())\n  AND RECORD_TYPE = 'LOG'\n  AND RESOURCE_ATTRIBUTES['instance.id']::STRING = '\u003CYOUR_INSTANCE_ID\u003E'\nORDER BY TIMESTAMP DESC\nLIMIT 20;\n```\n\n\u003E **Tip:** To find your Postgres instance ID, run `SHOW POSTGRES INSTANCES;` Use the first segment of the host column (everything before the first period). For example, if host is 4jypgsndvzd5ta6ufaryx6owja.sfdevrel-sfdevrel-enterprise.us-west-2.aws.postgres.snowflake.app, the instance ID is 4jypgsndvzd5ta6ufaryx6owja.\n\n\u003C!-- ------------------------ --\u003E\n## 3. Create the Snowflake Role and Grants\n\nDatadog connects to Snowflake as a dedicated role with specific privileges. This role needs access to account usage, monitoring, and the event table.\n\n```sql\n-- Use ACCOUNTADMIN to create the role and assign grants\nUSE ROLE ACCOUNTADMIN;\n\n-- Create the Datadog role\nCREATE ROLE IF NOT EXISTS DATADOG;\nGRANT ROLE DATADOG TO ROLE ACCOUNTADMIN;\n\n-- CRITICAL: Grant IMPORTED PRIVILEGES on the SNOWFLAKE database\n-- This is required for Datadog to read the event table and account usage views.\n-- Using just USAGE is NOT sufficient -- you must use IMPORTED PRIVILEGES.\nGRANT IMPORTED PRIVILEGES ON DATABASE SNOWFLAKE TO ROLE DATADOG;\n\n-- Grant monitoring access\nGRANT MONITOR USAGE ON ACCOUNT TO ROLE DATADOG;\n\n-- Grant warehouse usage (replace with your warehouse name)\nGRANT USAGE ON WAREHOUSE MY_WAREHOUSE TO ROLE DATADOG;\n```\n\nNote that `IMPORTED PRIVILEGES ON DATABASE SNOWFLAKE` grant is `ACCOUNTADMIN` only with no workaround. Some other SQL could be done with lower permissions. \n\n```sql\nSHOW GRANTS TO ROLE DATADOG;\n```\n\n\u003C!-- ------------------------ --\u003E\n## 4. Generate RSA Key Pair\n\nDatadog authenticates to Snowflake using RSA key-pair authentication (not password). You'll generate a key pair, give the public key to Snowflake, and give the private key to Datadog.\n\n### Generate the Keys\n\n```bash\n# Create a directory for the keys\nmkdir -p ~/.snowflake/datadog_keys\n\n# Generate an unencrypted RSA private key (PKCS#8 format)\nopenssl genrsa 2048 | openssl pkcs8 -topk8 -inform PEM -out ~/.snowflake/datadog_keys/datadog_rsa_key.p8 -nocrypt\n\n# Extract the public key\nopenssl rsa -in ~/.snowflake/datadog_keys/datadog_rsa_key.p8 -pubout -out ~/.snowflake/datadog_keys/datadog_rsa_key.pub\n```\n\n### Get the Public Key Value (for Snowflake)\n\n```bash\n# Print the public key without the header/footer lines (this is what Snowflake expects)\ngrep -v \"BEGIN\\|END\" ~/.snowflake/datadog_keys/datadog_rsa_key.pub | tr -d '\\n'\n```\n\nCopy the output -- you'll paste it into the `ALTER USER` command in the next step.\n\n\n\u003C!-- ------------------------ --\u003E\n## 5. Create the Snowflake Service User\n\nCreate a dedicated service user for Datadog. This user authenticates with the RSA key pair (no password).\n\n\u003E **Key distinction:** `DATADOG` is the **role**. `DATADOG_USER` is the **user**. When configuring Datadog, you'll enter `DATADOG_USER` as the username and `DATADOG` as the role. Mixing these up is a common source of \"integration broken\" errors.\n\n```sql\nUSE ROLE ACCOUNTADMIN;\n\n-- Create the service user\nCREATE USER IF NOT EXISTS DATADOG_USER\n  TYPE = SERVICE\n  DEFAULT_ROLE = DATADOG\n  DEFAULT_WAREHOUSE = MY_WAREHOUSE\n  DEFAULT_NAMESPACE = SNOWFLAKE.TELEMETRY;\n\n-- Assign the RSA public key (paste the key value from Step 4)\nALTER USER DATADOG_USER SET RSA_PUBLIC_KEY = '\u003Cpaste_public_key_here\u003E';\n\n-- Grant the DATADOG role to the user\nGRANT ROLE DATADOG TO USER DATADOG_USER;\n```\n\n\u003C!-- ------------------------ --\u003E\n## 6. Add Network Permissions for Datadog\n\nDatadog connects to your Snowflake account to poll for data. If your account or Postgres instance has network policies in place, you need to whitelist Datadog's IP ranges so these connections are allowed.\n\n### Find Your Datadog Site's IP Ranges\n\nDatadog publishes its IP ranges at a site-specific URL. The ranges you need are under the webhooks section.\n\n| Datadog Site | IP Ranges URL |\n|---|---|\n| US1 | `https://ip-ranges.datadoghq.com/` |\n| US3 | `https://ip-ranges.us3.datadoghq.com/` |\n| US5 | `https://ip-ranges.us5.datadoghq.com/` |\n| EU1 | `https://ip-ranges.datadoghq.eu/` |\n| AP1 | `https://ip-ranges.ap1.datadoghq.com/` |\n\nOpen the URL for your site and look for the `webhooks.prefixes_ipv4` array. These are the CIDR ranges to whitelist.\n\n**Example (US5 as of writing):**\n- `34.149.66.128/26`\n- `34.160.40.115/32`\n- `35.244.255.175/32`\n\n\u003E **Check this URL regularly.** Datadog may add new IP ranges over time. If your integration stops working, check for updated IPs.\n\n### Create the Network Rules\n\nYou need both ingress (Datadog connecting to Snowflake) and egress (Snowflake responding to Datadog) rules:\n\n```sql\nUSE ROLE ACCOUNTADMIN;\n\n-- Ingress rule: allows Datadog to connect to Snowflake\nCREATE OR REPLACE NETWORK RULE DATADOG_INGRESS\n  TYPE = IPV4\n  MODE = INGRESS\n  VALUE_LIST = (\n    '34.149.66.128/26',\n    '34.160.40.115/32',\n    '35.244.255.175/32'\n  );\n\n-- Egress rule: allows Snowflake to respond to Datadog\nCREATE OR REPLACE NETWORK RULE DATADOG_EGRESS\n  TYPE = IPV4\n  MODE = EGRESS\n  VALUE_LIST = (\n    '34.149.66.128/26',\n    '34.160.40.115/32',\n    '35.244.255.175/32'\n  );\n\n-- Create a network policy using both rules\nCREATE OR REPLACE NETWORK POLICY DATADOG_NETWORK_POLICY\n  ALLOWED_NETWORK_RULE_LIST = ('DATADOG_INGRESS', 'DATADOG_EGRESS');\n\n-- Assign the policy to the Datadog user\nALTER USER DATADOG_USER SET NETWORK_POLICY = 'DATADOG_NETWORK_POLICY';\n```\n\n\u003E **Scope the policy to the user, not the account.** Applying a network policy at the account level could lock out other users. Apply it only to `DATADOG_USER`.\n\n\u003E **Note:** Datadog may add or change IP ranges over time. When this happens, update your existing network rules rather than recreating the policy.\n\n\u003C!-- ------------------------ --\u003E\n## 7. Configure the Datadog Snowflake Integration\n\nNow configure Datadog to connect to your Snowflake account using the role, user, and key you've set up.\n\n1. Log into your Datadog account\n2. Navigate to **Integrations** \u003E **Integrations** (or search for \"Snowflake\")\n3. Click the **Snowflake** integration tile\n4. Click **+ Add Account**\n5. Fill in the fields:\n\n- **Account URL**: `\u003Cyour-account\u003E.snowflakecomputing.com`\n- **Username**: `DATADOG_USER` \n\n6. Under **Data Collection**, enable the settings you'd like for your account. Make sure that **Events Records:** is toggled on — these are the Postgres logs.\n\n7. Upload the private key file from above.\n\n8. Click **Save**\n\n### Account URL Format\n\nThis can be a common source of errors. Datadog normalizes underscores to hyphens in URLs, which can break the connection for accounts with underscores in their name.\n\n**Use one of these formats:**\n\n| Format | Example | Notes |\n|---|---|---|\n| **Connection alias** (recommended) | `myorg-myalias.snowflakecomputing.com` | Most reliable if you have one set up |\n| **Legacy locator** | `myaccount.us-west-2.snowflakecomputing.com` | Include the region |\n| **Org-account (regionless)** | `myorg-myaccount.snowflakecomputing.com` | May fail if account name has underscores |\n\n\u003E **If your account name contains underscores** (e.g., `MY_ACCOUNT`), Datadog may convert it to `MY-ACCOUNT` in the URL, causing authentication to fail. Use a connection alias or the legacy locator format to work around this.\n\n**To create a connection alias in Snowflake:**\n\n```sql\n-- Via Snowsight: Admin \u003E Accounts \u003E select account \u003E Create Connection\n-- Or via SQL:\nCREATE CONNECTION MY_ALIAS;\nALTER CONNECTION MY_ALIAS SET COMMENT = 'Alias for Datadog integration';\n```\n\n\u003C!-- ------------------------ --\u003E\n## 8. Generate Test Logs and Verify\n\nWith everything configured, generate some test traffic against your Postgres instance and verify the logs flow through to Datadog. See the above steps for generating data and checking the event table.\n\n### Verify in Datadog\n\n1. Navigate to **Logs** \u003E **Log Explorer** in Datadog\n2. Search for `postgres` in the search bar to see logs being generated for the Postgres service.\n3. You should see log entries with the SQL queries you ran. Filter by some of your sample query syntax like `cookie_monster` to make sure you're seeing logs that you expect.\n\n\u003E **Timing:** Datadog polls the event table at the interval you configured. If you set it to 1 hour, it may take up to an hour for new logs to appear. For testing, consider temporarily reducing the interval.\n\nFrom here you can use Datadog's tools to search, filter, and create alerts around the Postgres logs. \n\n\nSnowflake Postgres also sends `RECORD_TYPE = 'METRIC'` to the event table, in addition to `RECORD_TYPE = 'LOG'`. Currently the Datadog web integration does not support metrics. However, events could be ingested through other API processes or agents. See [metrics API](https://docs.datadoghq.com/api/latest/metrics/) and [metric submission](https://docs.datadoghq.com/metrics/custom_metrics/dogstatsd_metrics_submission/?tab=python) for more details.\n\n\u003C!-- ------------------------ --\u003E\n## Conclusion and Resources\n\nCongratulations! You've built an end-to-end pipeline that streams Postgres logs from Snowflake into Datadog for monitoring, searching, and alerting.\n\n### What You Learned\n\n- How to configure Postgres logging parameters on a Snowflake Postgres instance\n- How the Snowflake event table captures and stores Postgres logs\n- How to create a dedicated Snowflake role and service user for Datadog with the correct grants\n- How to generate and configure RSA key-pair authentication\n- How to whitelist Datadog's IP ranges with Snowflake network policies\n- How to configure and verify the Datadog Snowflake integration\n \n\n### Resources\n\n- [Snowflake Postgres Logging](https://docs.snowflake.com/en/user-guide/snowflake-postgres/postgres-logging)\n- [PostgreSQL Log Configuration Documentation](https://www.postgresql.org/docs/current/runtime-config-logging.html)\n- [Datadog Snowflake Integration Documentation](https://docs.datadoghq.com/integrations/snowflake/)\n- [Snowflake Event Table Documentation](https://docs.snowflake.com/en/developer-guide/logging-tracing/event-table-setting-up)\n- [Snowflake Postgres Documentation](https://docs.snowflake.com/en/user-guide/tables-postgres)\n- [Blog: Postgres Logging for Performance Optimization](https://www.crunchydata.com/blog/postgres-logging-for-performance-optimization)\n","multiValue":false,":type":"text/x-markdown"},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image","multiValue":false,":type":"text/plain"}},"elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-da350b8e1f","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-46f04a9966",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-6e2df01f5e","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2026-05-19",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-846440a05f","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 instances\u003C/span\u003E\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"}},":itemsOrder":["quickstart_last_modi","text"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-652ab7a9c2",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{},":itemsOrder":[]},":type":"snowflake-site/components/flexible-column-container","isActiveTOC":false,"isBlogPage":false}},":itemsOrder":["contentfragment","flexible_column_cont"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-d801d453ba",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_table_of_":{"layout":"SIMPLE","id":"container-f57a7a7cbb","isDeveloperGuidesPage":false,":type":"snowflake-site/components/quickstart/quickstart-table-of-content/quickstart-table-of-content-container",":items":{"quickstart_table_of_":{"id":"quickstart-table-of-content-afa16d9de0","fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/snowflake-postgres-logs-to-datadog",":type":"snowflake-site/components/quickstart/quickstart-table-of-content","headings":["\u003Ch2\u003EOverview\u003C/h2\u003E","\u003Ch2\u003E1. Enable Postgres Logging\u003C/h2\u003E","\u003Ch2\u003E2. Confirm Logs in the Snowflake Event Table\u003C/h2\u003E","\u003Ch2\u003E3. Create the Snowflake Role and Grants\u003C/h2\u003E","\u003Ch2\u003E4. Generate RSA Key Pair\u003C/h2\u003E","\u003Ch2\u003E5. Create the Snowflake Service User\u003C/h2\u003E","\u003Ch2\u003E6. Add Network Permissions for Datadog\u003C/h2\u003E","\u003Ch2\u003E7. Configure the Datadog Snowflake Integration\u003C/h2\u003E","\u003Ch2\u003E8. 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