#dba — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #dba, aggregated by home.social.
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Big news from @vyruss: pg_statviz 1.0 ships with optional AI analysis. 🐘
Each chart gets a [HEALTHY]/[WARNING]/[CRITICAL] verdict with remediation advice from Claude, Gemini, or local Ollama.
Two smart design choices:
🛡️ Deterministic rules run before the LLM, with a severity floor that prevents downgrading real problems
📐 Calibration block debunks #Postgres myths (25% RAM for shared_buffers, default random_page_cost=4)
https://vyruss.org/blog/pg_statviz-1-0-released-ai-analysis.html
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DWH в 2026: четыре зоны вместо Inmon, Kimball и Data Vault 2.0
Когда инженер слышит «нам нужно хранилище данных», задача редко звучит однозначно. Кто-то задыхается на боевой OLTP-базе под аналитической нагрузкой. Кто-то впервые строит BI и не понимает, с какого края подходить. У кого-то накопились данные из десятка систем-источников, и существующих средств уже не хватает. У всех «хранилище». А правильный технический ответ зависит от условий задачи. За годы работы в банках, ритейле и системной интеграции мы пришли к простой картине: для среднего и крупного бизнеса большинство DWH-проектов сводится к четырёхзонной архитектуре поверх двух специализированных движков. Не Inmon, не Kimball-star-schema, не Data Vault 2.0 - и при этом не «modern data stack как у Databricks один-в-один». В этой статье разберу архитектуру по зонам, потом честно скажу что осталось живо от классических методологий и где они продолжают работать, а где безнадёжно отстали от колоночной эры. И в конце - типичные ошибки, которые наблюдаем в проектах коллег и собственных пилотах.
https://habr.com/ru/articles/1035136/
#dwh #data_warehouse #clickhouse #apache_iceberg #trino #lakehouse #data_engineering #архитектура_данных #data_vault #dba
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DWH в 2026: четыре зоны вместо Inmon, Kimball и Data Vault 2.0
Когда инженер слышит «нам нужно хранилище данных», задача редко звучит однозначно. Кто-то задыхается на боевой OLTP-базе под аналитической нагрузкой. Кто-то впервые строит BI и не понимает, с какого края подходить. У кого-то накопились данные из десятка систем-источников, и существующих средств уже не хватает. У всех «хранилище». А правильный технический ответ зависит от условий задачи. За годы работы в банках, ритейле и системной интеграции мы пришли к простой картине: для среднего и крупного бизнеса большинство DWH-проектов сводится к четырёхзонной архитектуре поверх двух специализированных движков. Не Inmon, не Kimball-star-schema, не Data Vault 2.0 - и при этом не «modern data stack как у Databricks один-в-один». В этой статье разберу архитектуру по зонам, потом честно скажу что осталось живо от классических методологий и где они продолжают работать, а где безнадёжно отстали от колоночной эры. И в конце - типичные ошибки, которые наблюдаем в проектах коллег и собственных пилотах.
https://habr.com/ru/articles/1035136/
#dwh #data_warehouse #clickhouse #apache_iceberg #trino #lakehouse #data_engineering #архитектура_данных #data_vault #dba
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DWH в 2026: четыре зоны вместо Inmon, Kimball и Data Vault 2.0
Когда инженер слышит «нам нужно хранилище данных», задача редко звучит однозначно. Кто-то задыхается на боевой OLTP-базе под аналитической нагрузкой. Кто-то впервые строит BI и не понимает, с какого края подходить. У кого-то накопились данные из десятка систем-источников, и существующих средств уже не хватает. У всех «хранилище». А правильный технический ответ зависит от условий задачи. За годы работы в банках, ритейле и системной интеграции мы пришли к простой картине: для среднего и крупного бизнеса большинство DWH-проектов сводится к четырёхзонной архитектуре поверх двух специализированных движков. Не Inmon, не Kimball-star-schema, не Data Vault 2.0 - и при этом не «modern data stack как у Databricks один-в-один». В этой статье разберу архитектуру по зонам, потом честно скажу что осталось живо от классических методологий и где они продолжают работать, а где безнадёжно отстали от колоночной эры. И в конце - типичные ошибки, которые наблюдаем в проектах коллег и собственных пилотах.
https://habr.com/ru/articles/1035136/
#dwh #data_warehouse #clickhouse #apache_iceberg #trino #lakehouse #data_engineering #архитектура_данных #data_vault #dba
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DWH в 2026: четыре зоны вместо Inmon, Kimball и Data Vault 2.0
Когда инженер слышит «нам нужно хранилище данных», задача редко звучит однозначно. Кто-то задыхается на боевой OLTP-базе под аналитической нагрузкой. Кто-то впервые строит BI и не понимает, с какого края подходить. У кого-то накопились данные из десятка систем-источников, и существующих средств уже не хватает. У всех «хранилище». А правильный технический ответ зависит от условий задачи. За годы работы в банках, ритейле и системной интеграции мы пришли к простой картине: для среднего и крупного бизнеса большинство DWH-проектов сводится к четырёхзонной архитектуре поверх двух специализированных движков. Не Inmon, не Kimball-star-schema, не Data Vault 2.0 - и при этом не «modern data stack как у Databricks один-в-один». В этой статье разберу архитектуру по зонам, потом честно скажу что осталось живо от классических методологий и где они продолжают работать, а где безнадёжно отстали от колоночной эры. И в конце - типичные ошибки, которые наблюдаем в проектах коллег и собственных пилотах.
https://habr.com/ru/articles/1035136/
#dwh #data_warehouse #clickhouse #apache_iceberg #trino #lakehouse #data_engineering #архитектура_данных #data_vault #dba
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https://www.europesays.com/nl/207872/ CJIB negeert wetten rond schijnzelfstandigen #CJIB #DBA #Dutch #Nederland #Nederlanden #Nederlands #Netherlands #NL #Sport #Sports #Verkeersboete #ZZP'ers
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If I'm remembering correctly, the primary SQL Hosts at my employer date back to May 2023 when new hardware was purchased.
We have not run Windows Updates or installed a Cumulative Update for SQL Server on these machines. Not ever.
I've done extensive testing in our non-PROD environments, and scheduled dozens of maintenance windows for the PROD environment. But something (and it's never me) always 'gets in the way'.
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If I'm remembering correctly, the primary SQL Hosts at my employer date back to May 2023 when new hardware was purchased.
We have not run Windows Updates or installed a Cumulative Update for SQL Server on these machines. Not ever.
I've done extensive testing in our non-PROD environments, and scheduled dozens of maintenance windows for the PROD environment. But something (and it's never me) always 'gets in the way'.
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If I'm remembering correctly, the primary SQL Hosts at my employer date back to May 2023 when new hardware was purchased.
We have not run Windows Updates or installed a Cumulative Update for SQL Server on these machines. Not ever.
I've done extensive testing in our non-PROD environments, and scheduled dozens of maintenance windows for the PROD environment. But something (and it's never me) always 'gets in the way'.
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If I'm remembering correctly, the primary SQL Hosts at my employer date back to May 2023 when new hardware was purchased.
We have not run Windows Updates or installed a Cumulative Update for SQL Server on these machines. Not ever.
I've done extensive testing in our non-PROD environments, and scheduled dozens of maintenance windows for the PROD environment. But something (and it's never me) always 'gets in the way'.
-
If I'm remembering correctly, the primary SQL Hosts at my employer date back to May 2023 when new hardware was purchased.
We have not run Windows Updates or installed a Cumulative Update for SQL Server on these machines. Not ever.
I've done extensive testing in our non-PROD environments, and scheduled dozens of maintenance windows for the PROD environment. But something (and it's never me) always 'gets in the way'.
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Not only am I changing geographic #locations. I will be migrating over time #digitally as well. I don't mind maintaining multiple copies of my data and managing an outside copy somewhere. #RClone and credible #external #secured storage. I was a #DBA for two and a half decades. Still like a habit.
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Most monitoring tools forget you the second you close the tab. The pgEdge AI DBA Workbench remembers.
Pin context like "our busiest period is 2 to 4pm EST" once and it rides along in every future investigation, even across team handoffs. Stored as embeddings with semantic recall, so the right note surfaces automatically.
Open source under the PostgreSQL License.
📥 https://www.pgedge.com/download/ai-dba-workbench
#postgres #postgresql #dba #monitoring #aiengineering #opensource
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Most monitoring tools forget you the second you close the tab. The pgEdge AI DBA Workbench remembers.
Pin context like "our busiest period is 2 to 4pm EST" once and it rides along in every future investigation, even across team handoffs. Stored as embeddings with semantic recall, so the right note surfaces automatically.
Open source under the PostgreSQL License.
📥 https://www.pgedge.com/download/ai-dba-workbench
#postgres #postgresql #dba #monitoring #aiengineering #opensource
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Most monitoring tools forget you the second you close the tab. The pgEdge AI DBA Workbench remembers.
Pin context like "our busiest period is 2 to 4pm EST" once and it rides along in every future investigation, even across team handoffs. Stored as embeddings with semantic recall, so the right note surfaces automatically.
Open source under the PostgreSQL License.
📥 https://www.pgedge.com/download/ai-dba-workbench
#postgres #postgresql #dba #monitoring #aiengineering #opensource
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Most monitoring tools forget you the second you close the tab. The pgEdge AI DBA Workbench remembers.
Pin context like "our busiest period is 2 to 4pm EST" once and it rides along in every future investigation, even across team handoffs. Stored as embeddings with semantic recall, so the right note surfaces automatically.
Open source under the PostgreSQL License.
📥 https://www.pgedge.com/download/ai-dba-workbench
#postgres #postgresql #dba #monitoring #aiengineering #opensource
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#Spock 5.0.7 is out. 🐘
Logical slot failover on #PostgreSQL 17 and 18 now integrates with PG's native slotsync worker. On PG18+, Spock's own failover_slots worker is retired entirely.
Plus fixes for add-node data races, apply worker crashes after provider disconnects, and exception_log error message quality.Open source under the PostgreSQL License. Logical multi-master replication for PostgreSQL 15, 16, 17, and 18.
📖 Release notes: https://github.com/pgEdge/spock/blob/v5_STABLE/docs/spock_release_notes.md
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#Spock 5.0.7 is out. 🐘
Logical slot failover on #PostgreSQL 17 and 18 now integrates with PG's native slotsync worker. On PG18+, Spock's own failover_slots worker is retired entirely.
Plus fixes for add-node data races, apply worker crashes after provider disconnects, and exception_log error message quality.Open source under the PostgreSQL License. Logical multi-master replication for PostgreSQL 15, 16, 17, and 18.
📖 Release notes: https://github.com/pgEdge/spock/blob/v5_STABLE/docs/spock_release_notes.md
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#Spock 5.0.7 is out. 🐘
Logical slot failover on #PostgreSQL 17 and 18 now integrates with PG's native slotsync worker. On PG18+, Spock's own failover_slots worker is retired entirely.
Plus fixes for add-node data races, apply worker crashes after provider disconnects, and exception_log error message quality.Open source under the PostgreSQL License. Logical multi-master replication for PostgreSQL 15, 16, 17, and 18.
📖 Release notes: https://github.com/pgEdge/spock/blob/v5_STABLE/docs/spock_release_notes.md
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#Spock 5.0.7 is out. 🐘
Logical slot failover on #PostgreSQL 17 and 18 now integrates with PG's native slotsync worker. On PG18+, Spock's own failover_slots worker is retired entirely.
Plus fixes for add-node data races, apply worker crashes after provider disconnects, and exception_log error message quality.Open source under the PostgreSQL License. Logical multi-master replication for PostgreSQL 15, 16, 17, and 18.
📖 Release notes: https://github.com/pgEdge/spock/blob/v5_STABLE/docs/spock_release_notes.md
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#Spock 5.0.7 is out. 🐘
Logical slot failover on #PostgreSQL 17 and 18 now integrates with PG's native slotsync worker. On PG18+, Spock's own failover_slots worker is retired entirely.
Plus fixes for add-node data races, apply worker crashes after provider disconnects, and exception_log error message quality.Open source under the PostgreSQL License. Logical multi-master replication for PostgreSQL 15, 16, 17, and 18.
📖 Release notes: https://github.com/pgEdge/spock/blob/v5_STABLE/docs/spock_release_notes.md
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At my first job in IT (as a junior dev), there was a senior developer that once told me "They can pay me to draw. Or they can pay me to erase."
It was in response to my frustration with the ever-changing project goals I was dealing with, chasing my tail, pissing in the wind, and all that.
There's a lot of wisdom in that saying.
I enjoy my paycheck. But I'd like to get some drawing in every now and then.
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At my first job in IT (as a junior dev), there was a senior developer that once told me "They can pay me to draw. Or they can pay me to erase."
It was in response to my frustration with the ever-changing project goals I was dealing with, chasing my tail, pissing in the wind, and all that.
There's a lot of wisdom in that saying.
I enjoy my paycheck. But I'd like to get some drawing in every now and then.
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At my first job in IT (as a junior dev), there was a senior developer that once told me "They can pay me to draw. Or they can pay me to erase."
It was in response to my frustration with the ever-changing project goals I was dealing with, chasing my tail, pissing in the wind, and all that.
There's a lot of wisdom in that saying.
I enjoy my paycheck. But I'd like to get some drawing in every now and then.
-
At my first job in IT (as a junior dev), there was a senior developer that once told me "They can pay me to draw. Or they can pay me to erase."
It was in response to my frustration with the ever-changing project goals I was dealing with, chasing my tail, pissing in the wind, and all that.
There's a lot of wisdom in that saying.
I enjoy my paycheck. But I'd like to get some drawing in every now and then.
-
At my first job in IT (as a junior dev), there was a senior developer that once told me "They can pay me to draw. Or they can pay me to erase."
It was in response to my frustration with the ever-changing project goals I was dealing with, chasing my tail, pissing in the wind, and all that.
There's a lot of wisdom in that saying.
I enjoy my paycheck. But I'd like to get some drawing in every now and then.
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Sweet lord...
Started asking a few questions of my coworkers today. Here's what I've determined: a data analyst is going to build a 3,000 line stored procedure that brings our primary SQL host to its knees, which will be used to generate a horrific SSRS report for a C-level type, who will print it out and most likely put it on their desk and never even look at it.
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Sweet lord...
Started asking a few questions of my coworkers today. Here's what I've determined: a data analyst is going to build a 3,000 line stored procedure that brings our primary SQL host to its knees, which will be used to generate a horrific SSRS report for a C-level type, who will print it out and most likely put it on their desk and never even look at it.
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Sweet lord...
Started asking a few questions of my coworkers today. Here's what I've determined: a data analyst is going to build a 3,000 line stored procedure that brings our primary SQL host to its knees, which will be used to generate a horrific SSRS report for a C-level type, who will print it out and most likely put it on their desk and never even look at it.
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Sweet lord...
Started asking a few questions of my coworkers today. Here's what I've determined: a data analyst is going to build a 3,000 line stored procedure that brings our primary SQL host to its knees, which will be used to generate a horrific SSRS report for a C-level type, who will print it out and most likely put it on their desk and never even look at it.
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Sweet lord...
Started asking a few questions of my coworkers today. Here's what I've determined: a data analyst is going to build a 3,000 line stored procedure that brings our primary SQL host to its knees, which will be used to generate a horrific SSRS report for a C-level type, who will print it out and most likely put it on their desk and never even look at it.
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By far, my greatest failure as a DBA is teaching others. Especially the 'older' folks. Convincing them there are better ways to do the things they've done for a long time and persuading them to change... it's drudgery.
That reality hit me square in the face today. 🙁
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By far, my greatest failure as a DBA is teaching others. Especially the 'older' folks. Convincing them there are better ways to do the things they've done for a long time and persuading them to change... it's drudgery.
That reality hit me square in the face today. 🙁
-
By far, my greatest failure as a DBA is teaching others. Especially the 'older' folks. Convincing them there are better ways to do the things they've done for a long time and persuading them to change... it's drudgery.
That reality hit me square in the face today. 🙁
-
By far, my greatest failure as a DBA is teaching others. Especially the 'older' folks. Convincing them there are better ways to do the things they've done for a long time and persuading them to change... it's drudgery.
That reality hit me square in the face today. 🙁
-
By far, my greatest failure as a DBA is teaching others. Especially the 'older' folks. Convincing them there are better ways to do the things they've done for a long time and persuading them to change... it's drudgery.
That reality hit me square in the face today. 🙁
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Zwei spannende Tage auf der PGConf.DE 2026 liegen hinter uns!
Als Goldsponsor waren wir in Essen auf der größten deutschen PostgreSQL-Konferenz vertreten.
Vielen Dank an alle, die unseren Stand besucht haben – wir freuen uns schon auf das nächste Mal!
👉 Mehr Eindrücke und Rückblick im Blog: https://www.credativ.de/?p=18684&preview=true
#PGConfDE #PostgreSQL #OpenSource #Database #DataManagement #ITCommunity #TechEvents #DBA #Linux #credativ
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Zwei spannende Tage auf der PGConf.DE 2026 liegen hinter uns!
Als Goldsponsor waren wir in Essen auf der größten deutschen PostgreSQL-Konferenz vertreten.
Vielen Dank an alle, die unseren Stand besucht haben – wir freuen uns schon auf das nächste Mal!
👉 Mehr Eindrücke und Rückblick im Blog: https://www.credativ.de/?p=18684&preview=true
#PGConfDE #PostgreSQL #OpenSource #Database #DataManagement #ITCommunity #TechEvents #DBA #Linux #credativ
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Zwei spannende Tage auf der PGConf.DE 2026 liegen hinter uns!
Als Goldsponsor waren wir in Essen auf der größten deutschen PostgreSQL-Konferenz vertreten.
Vielen Dank an alle, die unseren Stand besucht haben – wir freuen uns schon auf das nächste Mal!
👉 Mehr Eindrücke und Rückblick im Blog: https://www.credativ.de/?p=18684&preview=true
#PGConfDE #PostgreSQL #OpenSource #Database #DataManagement #ITCommunity #TechEvents #DBA #Linux #credativ
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Zwei spannende Tage auf der PGConf.DE 2026 liegen hinter uns!
Als Goldsponsor waren wir in Essen auf der größten deutschen PostgreSQL-Konferenz vertreten.
Vielen Dank an alle, die unseren Stand besucht haben – wir freuen uns schon auf das nächste Mal!
👉 Mehr Eindrücke und Rückblick im Blog: https://www.credativ.de/?p=18684&preview=true
#PGConfDE #PostgreSQL #OpenSource #Database #DataManagement #ITCommunity #TechEvents #DBA #Linux #credativ
-
Zwei spannende Tage auf der PGConf.DE 2026 liegen hinter uns!
Als Goldsponsor waren wir in Essen auf der größten deutschen PostgreSQL-Konferenz vertreten.
Vielen Dank an alle, die unseren Stand besucht haben – wir freuen uns schon auf das nächste Mal!
👉 Mehr Eindrücke und Rückblick im Blog: https://www.credativ.de/?p=18684&preview=true
#PGConfDE #PostgreSQL #OpenSource #Database #DataManagement #ITCommunity #TechEvents #DBA #Linux #credativ
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“A 30-hour timeline of how Cursor's agent, Railway's #API, and an industry that markets #AISafety faster than it ships it took down a small business serving rental companies across the country. I'm Jer Crane, founder of PocketOS. We build #software that rental businesses — primarily car rental operators — use to run their entire operations: reservations, payments, customer management, vehicle tracking, the works. Some of our customers are five-year subscribers who literally cannot operate their businesses without us. Yesterday afternoon, an #AICodingAgent — #Cursor running #Anthropic's flagship #ClaudeOpus 4.6 — deleted our production database and all volume-level backups in a single API call to Railway, our infrastructure provider.
It took 9 seconds.
The agent then, when asked to explain itself, produced a written #confession enumerating the specific safety rules it had violated.”
When you use a cheap-arse #DBA.
#AI / #WhiteCollar / #ZeroHourWork source <https://x.com/lifeof_jer/status/2048103471019434248> comments <https://news.ycombinator.com/item?id=47911524>
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“A 30-hour timeline of how Cursor's agent, Railway's #API, and an industry that markets #AISafety faster than it ships it took down a small business serving rental companies across the country. I'm Jer Crane, founder of PocketOS. We build #software that rental businesses — primarily car rental operators — use to run their entire operations: reservations, payments, customer management, vehicle tracking, the works. Some of our customers are five-year subscribers who literally cannot operate their businesses without us. Yesterday afternoon, an #AICodingAgent — #Cursor running #Anthropic's flagship #ClaudeOpus 4.6 — deleted our production database and all volume-level backups in a single API call to Railway, our infrastructure provider.
It took 9 seconds.
The agent then, when asked to explain itself, produced a written #confession enumerating the specific safety rules it had violated.”
When you use a cheap-arse #DBA.
#AI / #WhiteCollar / #ZeroHourWork source <https://x.com/lifeof_jer/status/2048103471019434248> comments <https://news.ycombinator.com/item?id=47911524>
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“A 30-hour timeline of how Cursor's agent, Railway's #API, and an industry that markets #AISafety faster than it ships it took down a small business serving rental companies across the country. I'm Jer Crane, founder of PocketOS. We build #software that rental businesses — primarily car rental operators — use to run their entire operations: reservations, payments, customer management, vehicle tracking, the works. Some of our customers are five-year subscribers who literally cannot operate their businesses without us. Yesterday afternoon, an #AICodingAgent — #Cursor running #Anthropic's flagship #ClaudeOpus 4.6 — deleted our production database and all volume-level backups in a single API call to Railway, our infrastructure provider.
It took 9 seconds.
The agent then, when asked to explain itself, produced a written #confession enumerating the specific safety rules it had violated.”
When you use a cheap-arse #DBA.
#AI / #WhiteCollar / #ZeroHourWork source <https://x.com/lifeof_jer/status/2048103471019434248> comments <https://news.ycombinator.com/item?id=47911524>
-
“A 30-hour timeline of how Cursor's agent, Railway's #API, and an industry that markets #AISafety faster than it ships it took down a small business serving rental companies across the country. I'm Jer Crane, founder of PocketOS. We build #software that rental businesses — primarily car rental operators — use to run their entire operations: reservations, payments, customer management, vehicle tracking, the works. Some of our customers are five-year subscribers who literally cannot operate their businesses without us. Yesterday afternoon, an #AICodingAgent — #Cursor running #Anthropic's flagship #ClaudeOpus 4.6 — deleted our production database and all volume-level backups in a single API call to Railway, our infrastructure provider.
It took 9 seconds.
The agent then, when asked to explain itself, produced a written #confession enumerating the specific safety rules it had violated.”
When you use a cheap-arse #DBA.
#AI / #WhiteCollar / #ZeroHourWork source <https://x.com/lifeof_jer/status/2048103471019434248> comments <https://news.ycombinator.com/item?id=47911524>
-
“A 30-hour timeline of how Cursor's agent, Railway's #API, and an industry that markets #AISafety faster than it ships it took down a small business serving rental companies across the country. I'm Jer Crane, founder of PocketOS. We build #software that rental businesses — primarily car rental operators — use to run their entire operations: reservations, payments, customer management, vehicle tracking, the works. Some of our customers are five-year subscribers who literally cannot operate their businesses without us. Yesterday afternoon, an #AICodingAgent — #Cursor running #Anthropic's flagship #ClaudeOpus 4.6 — deleted our production database and all volume-level backups in a single API call to Railway, our infrastructure provider.
It took 9 seconds.
The agent then, when asked to explain itself, produced a written #confession enumerating the specific safety rules it had violated.”
When you use a cheap-arse #DBA.
#AI / #WhiteCollar / #ZeroHourWork source <https://x.com/lifeof_jer/status/2048103471019434248> comments <https://news.ycombinator.com/item?id=47911524>
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If you run #Postgres at scale, you know the loop: something slows down, and you're suddenly hand-running EXPLAIN ANALYZE, chasing pg_stat views, and correlating WAL and vacuum state until the culprit finally surfaces.
The AI DBA Workbench automates that investigation against any #PostgreSQL 14+ instance. Ellie pulls the metrics, runs EXPLAIN on the suspect queries, and drafts the SQL she thinks will fix it — you read it and decide whether it runs. 🔍
⭐ github.com/pgEdge/ai-dba-workbench 🐘
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If you run #Postgres at scale, you know the loop: something slows down, and you're suddenly hand-running EXPLAIN ANALYZE, chasing pg_stat views, and correlating WAL and vacuum state until the culprit finally surfaces.
The AI DBA Workbench automates that investigation against any #PostgreSQL 14+ instance. Ellie pulls the metrics, runs EXPLAIN on the suspect queries, and drafts the SQL she thinks will fix it — you read it and decide whether it runs. 🔍
⭐ github.com/pgEdge/ai-dba-workbench 🐘
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If you run #Postgres at scale, you know the loop: something slows down, and you're suddenly hand-running EXPLAIN ANALYZE, chasing pg_stat views, and correlating WAL and vacuum state until the culprit finally surfaces.
The AI DBA Workbench automates that investigation against any #PostgreSQL 14+ instance. Ellie pulls the metrics, runs EXPLAIN on the suspect queries, and drafts the SQL she thinks will fix it — you read it and decide whether it runs. 🔍
⭐ github.com/pgEdge/ai-dba-workbench 🐘
-
If you run #Postgres at scale, you know the loop: something slows down, and you're suddenly hand-running EXPLAIN ANALYZE, chasing pg_stat views, and correlating WAL and vacuum state until the culprit finally surfaces.
The AI DBA Workbench automates that investigation against any #PostgreSQL 14+ instance. Ellie pulls the metrics, runs EXPLAIN on the suspect queries, and drafts the SQL she thinks will fix it — you read it and decide whether it runs. 🔍
⭐ github.com/pgEdge/ai-dba-workbench 🐘