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SQL Commenter with Nimesh Bhagat and Morgan McLean

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Manage episode 322913574 series 122766
内容由Google Cloud Platform提供。所有播客内容(包括剧集、图形和播客描述)均由 Google Cloud Platform 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

First time co-host Jan Kleinert joins Mark Mirchandani this week to talk about database observability and the cool tools that make it possible. Morgan McLean and Nimesh Bhagat describe database observability, which uses metrics, logs, and other tools to help users understand the health of your database.

We talk about Object Relational Mappers and the challenges with using these for debugging database performance. SQL Commenter helps database observability in two ways: it is both a library and a standard, Nimesh tells us. He describes the process for us, detailing exactly how SQL Commenter effects projects. Recently, SQL Commenter was donated to OpenTelemetry to augment the observability offerings, create an application standard, and make it easier for developers to use a variety of different tools and languages. Engineers can get end-to-end traces no matter which database technologies they use.

Morgan tells us about Splunk and how information from SQL Commenter is taken into Splunk and used. Backend data like metrics from Cloud Monitoring and client libraries can be correlated together with SQL Commenter and brought into Splunk for full stack observability. Nimesh offers client examples to help us understand how these useful tools integrate for optimal observability. He tells us about the databases and ORMs supported by SQL Commenter. Our guests and co-host Jan give tips to help our listeners get started with SQL Commenter and talk about what they’re looking forward to in the future of observability.

Nimesh Bhagat

Nimesh is a product manager at Google Cloud, he leads Database Observability. He has worked across engineering and product roles, building highly available and high performance enterprise infrastructure used by Fortune 500 companies. His passion lies in combining powerful infrastructure with simple user experience so that every business and developer can build software at scale and velocity.

Morgan McLean

Morgan is ​​Director of Product Management at Splunk and co-creator of OpenCensus / OpenTelemetry.

Cool things of the week
  • Google Cloud Innovators site
  • Redesigning the Cloud SDK + CLI for easier development blog
    • GCP Podcast Episode 291: Redesigning the Cloud SDK and CLI with Wael Manasra and Cody Oss podcast
  • What is Active Assist? video
    • GCP Podcast Episode 235: Active Assist with Chris Law + MariaDB SkySQL with Robert Hedgepeth podcast
Interview
  • SQL Commenter site
  • Sequelize site
  • SQL Alchemy site
  • ADO.net site
  • GCP Podcast Episode 247: Cloud SQL Insights with Nimesh Bhagat podcast
  • OpenTelemetry site
  • Splunk site
  • Cloud Monitoring site
  • Cloud Spanner site
  • Cloud SQL site
  • Cloud Trace site
  • Sqlcommenter now extending the vision of OpenTelemetry to databases blog
Hosts

Mark Mirchandani and Jan Kleinert

  continue reading

340集单集

Artwork
icon分享
 
Manage episode 322913574 series 122766
内容由Google Cloud Platform提供。所有播客内容(包括剧集、图形和播客描述)均由 Google Cloud Platform 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

First time co-host Jan Kleinert joins Mark Mirchandani this week to talk about database observability and the cool tools that make it possible. Morgan McLean and Nimesh Bhagat describe database observability, which uses metrics, logs, and other tools to help users understand the health of your database.

We talk about Object Relational Mappers and the challenges with using these for debugging database performance. SQL Commenter helps database observability in two ways: it is both a library and a standard, Nimesh tells us. He describes the process for us, detailing exactly how SQL Commenter effects projects. Recently, SQL Commenter was donated to OpenTelemetry to augment the observability offerings, create an application standard, and make it easier for developers to use a variety of different tools and languages. Engineers can get end-to-end traces no matter which database technologies they use.

Morgan tells us about Splunk and how information from SQL Commenter is taken into Splunk and used. Backend data like metrics from Cloud Monitoring and client libraries can be correlated together with SQL Commenter and brought into Splunk for full stack observability. Nimesh offers client examples to help us understand how these useful tools integrate for optimal observability. He tells us about the databases and ORMs supported by SQL Commenter. Our guests and co-host Jan give tips to help our listeners get started with SQL Commenter and talk about what they’re looking forward to in the future of observability.

Nimesh Bhagat

Nimesh is a product manager at Google Cloud, he leads Database Observability. He has worked across engineering and product roles, building highly available and high performance enterprise infrastructure used by Fortune 500 companies. His passion lies in combining powerful infrastructure with simple user experience so that every business and developer can build software at scale and velocity.

Morgan McLean

Morgan is ​​Director of Product Management at Splunk and co-creator of OpenCensus / OpenTelemetry.

Cool things of the week
  • Google Cloud Innovators site
  • Redesigning the Cloud SDK + CLI for easier development blog
    • GCP Podcast Episode 291: Redesigning the Cloud SDK and CLI with Wael Manasra and Cody Oss podcast
  • What is Active Assist? video
    • GCP Podcast Episode 235: Active Assist with Chris Law + MariaDB SkySQL with Robert Hedgepeth podcast
Interview
  • SQL Commenter site
  • Sequelize site
  • SQL Alchemy site
  • ADO.net site
  • GCP Podcast Episode 247: Cloud SQL Insights with Nimesh Bhagat podcast
  • OpenTelemetry site
  • Splunk site
  • Cloud Monitoring site
  • Cloud Spanner site
  • Cloud SQL site
  • Cloud Trace site
  • Sqlcommenter now extending the vision of OpenTelemetry to databases blog
Hosts

Mark Mirchandani and Jan Kleinert

  continue reading

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