Name: Operational AI: Real-Time Analytics in Production (LA)
Start: 2026-06-26T01:00:00.000Z
Location: The KINN

***[REGISTER ON LUMA](https://luma.com/q3jx5f55)***
​AI demos are easy. Building AI systems that actually work in production - in real time, under pressure, with messy data and real users - is where things get interesting.

At this [OSA Community](https://osacom.io/?utm_source=luma) meetup, engineers and practitioners will share how they’re building real-time analytics and AI systems at production scale: streaming pipelines, real-time databases, feature stores, event-driven architectures, and the open-source technologies making it all possible.

If you work on data infrastructure, AI applications, observability, streaming systems, or just like hearing how modern systems are really built, you’ll fit right in.
​Food and drink are provided!
***[REGISTER ON LUMA](https://luma.com/q3jx5f55)***

***

# ​Speakers

* ​Robert Hodges, CEO @ [Altinity](https://altinity.com/?utm_source=luma)
* ​Éamon Ryan, Senior Principal Field Engineer @ [Grafana](https://grafana.com/?utm_source=luma)
* ​James Greenhill @ [PostHog](https://posthog.com/?utm_source=luma)

***

# ​**​​Agenda**

* ​**6 pm** \- Networking
* ​**6:15 - 8:00 pm** \- Talks
* ​**8:00 - 9:00 pm** \- Networking

***

# ​**​​​​Description of the Talks**

## ​Is It Safe? Letting AI Touch Production Data Without The Tears

​**Speaker**: Robert Hodges, CEO @ Altinity
​**Abstract**: Let's talk about AI safety. On June 2nd our first support case arrived in which a user's AI agent deleted a production table. It's a moment we've long anticipated. This talk presents practical ways to give AI access to production data while avoiding the dangers. We'll focus on three specific problems: ensuring only authorized agents access data, preventing accidental loss, and keeping proprietary information out of hosted LLMs. The solutions range from here-and-now approaches like OAuth and MCP to long-range opportunities like local models. Letting AI agents range free over data is the dream. Let's do the engineering to make it real.
​

## ​**AI Observability in Grafana: Instrument, Explore, and Evaluate Your AI Agents**

​**Speaker:** Éamon Ryan, Senior Principal Field Engineer @ Grafana
​**Abstract**: ​​​AI agents are shipping to production faster than ever — but how do you know they're working correctly? In this session, we'll walk through AI Observability in Grafana: how to instrument your agents with a few lines of code, explore conversations and multi-agent pipelines, track cost and performance, set up online evaluations to continuously monitor quality, and configure guards to catch issues before they reach the model.
​
​Other talks - stay tuned!

Grafana & Friends Bay Area

Grafana Community

Operational AI: Real-Time Analytics in Production (SF)

2360 3rd St

Join us for the June edition of Grafana and Friends Kurnool Meetup, where Observability practitioners and developers come together to share insights, best practices, and real-world experiences in Microservices world.

📅 **Date:** **20th June, 2026**
📍 **Location:** Online link will be updated here 2 days before the event.
🚀 **RSVP Timings:** Open till the start of the event

**What to Expect:**

**Who Should Attend?**
Whether you’re a SRE, DevOps Engineer or just getting started with observability, this meetup is for you!
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**🕒 Schedule:**
**03:00 PM - 03:15 PM -** Check In and Kick off the event
**Speaker: Kedar - Lead SRE - TransUnion**
Seasoned SRE and DevOps enthusiast. Sharing knowledge and contributing to the Open Source community through technical blogs. Prometheus Certified Associate and Google Professional Cloud Architect.

**Speaker: Manjunath - Senior DevOps Engineer - Redica Systems**
An adaptable professional who specializes in microservices platforms like Docker, Kubernetes, AWS & Linux Operating System

**03:15 PM - 04:00 PM -** [Talk] AI in Observability - Speaker: Manjunath

**04:00 PM - 05:00 PM -** [Talk] Introduction to OpenTelemetry - Speaker: Kedar

Close off the event with thanks to the host, speakers and attendees.
\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-\-

Grafana & Friends Kurnool

Manjunath D

Kedarnath Grandhe

gaganyarramsetty

Reena 

Surya Tejess

Grafana & Friends Kurnool June 2026 Meetup [Online]

Online event

We’re back with the new **Grafana ❤️‍🔥OpenTelemetry Community Call**!

**[OpenTelemetry](https://opentelemetry.io/)** has officially **[graduated from the CNCF](https://opentelemetry.io/blog/2026/otel-graduates/)**! In this episode of the Grafana OTel Community Call, we are celebrating this milestone by looking back at the project's journey, evaluating the current state of its signals, and discussing what this long-term stability means for the future. We will also explore what lies ahead on the project roadmap and where the community needs contributors next.

**Guests**:

* [Marylia Gutierrez](https://www.linkedin.com/in/maryliag/)
* [Ted Young](https://www.linkedin.com/in/ted-young/)
* [Tiffany Hrabusa](https://www.linkedin.com/in/tiffany-hrabusa/)

**Hosts**:

* [Nicole van der Hoeven](https://www.linkedin.com/in/nvanderhoeven/)
* [Tiffany Jernigan](https://www.linkedin.com/in/tiffanyfayj/)
* [Imma Valls](https://www.linkedin.com/in/imma-valls/)

This event will be livestreamed on YouTube and published on the same link after the fact: **[https://www.youtube.com/live/P9CfVEGwcgo](https://www.youtube.com/live/P9CfVEGwcgo)**

Join the conversation, bring your questions, and if it sparks something for you, jump in and help us build and improve OpenTelemetry together.

Grafana & Friends Virtual Meetup Group

Imma Valls

cubakid

Thomas Casteleyn

 OpenTelemetry Graduation (Grafana ❤️‍🔥 OTel Community Call #8)

***[REGISTER ON LUMA](https://luma.com/59wq0z0j)***

AI demos are easy. Building AI systems that actually work in production - in real time, under pressure, with messy data and real users - is where things get interesting.

At this [OSA Community](https://osacom.io/?utm_source=luma) meetup, engineers and practitioners will share how they’re building real-time analytics and AI systems at production scale: streaming pipelines, real-time databases, feature stores, event-driven architectures, and the open-source technologies making it all possible.

If you work on data infrastructure, AI applications, observability, streaming systems, or just like hearing how modern systems are really built, you’ll fit right in.
​Food and drink are provided!

***[REGISTER ON LUMA](https://luma.com/59wq0z0j)***

***

# ​Speakers

* ​Robert Hodges, CEO @ [Altinity](https://altinity.com/?utm_source=luma)
* ​Coleman Rollins, Staff Software Engineer @ [Grafana](https://grafana.com/?utm_source=luma)
* ​Brandon Wilcox, Director of Engineering @ [Gamebeast](https://www.gamebeast.gg/?utm_source=luma)
* ​Elvis Kahoro, Developer Advocate @ [dltHub](https://dlthub.com/?utm_source=luma) and Jess Wang, DevRel @ [Braintrust](https://www.usebraintrust.com/?utm_source=luma)

***

# ​**​​Agenda**

* ​**6 pm** \- Networking
* ​**6:15 - 8:00 pm** \- Talks
* ​**8:00 - 9:00 pm** \- Networking

***

# ***[REGISTER ON LUMA](https://luma.com/59wq0z0j)***

# ​**​​​​Description of the Talks**

## ​Is It Safe? Letting AI Touch Production Data Without The Tears

​**Speaker**: Robert Hodges, CEO @ Altinity
​**Abstract**: Let's talk about AI safety. On June 2nd our first support case arrived in which a user's AI agent deleted a production table. It's a moment we've long anticipated. This talk presents practical ways to give AI access to production data while avoiding the dangers. We'll focus on three specific problems: ensuring only authorized agents access data, preventing accidental loss, and keeping proprietary information out of hosted LLMs. The solutions range from here-and-now approaches like OAuth and MCP to long-range opportunities like local models. Letting AI agents range free over data is the dream. Let's do the engineering to make it real.
​

## ​AI Observability in Grafana: Instrument, Explore, and Evaluate Your AI Agents

​**Speaker**: Coleman Rollins, Staff Software Engineer @ Grafana
​**Abstract**: AI agents are shipping to production faster than ever — but how do you know they're working correctly? In this session, we'll walk through AI Observability in Grafana: how to instrument your agents with a few lines of code, explore conversations and multi-agent pipelines, track cost and performance, set up online evaluations to continuously monitor quality, and configure guards to catch issues before they reach the model.
​

## ​Bringing Game Developers Closer to their Players with AI and Analytics

​**Speaker**: Brandon Wilcox, Director of Engineering @ Gamebeast
​**Abstract**: Players generate more insights than developers can ever discover. We'll show how our LLM pipeline surfaces the pain points, complaints, and praise hidden across millions of player conversations - wherever they happen - and grounds all of it in hard data.
​

## ​What is your agent doing? Making sense of agent traces

​**Speakers**: Elvis Kahoro, Developer Advocate @ [dltHub](https://dlthub.com/?utm_source=luma) and Jess Wang, DevRel @ [Braintrust](https://www.usebraintrust.com/?utm_source=luma)
​**Abstract**: Agents are sprawling; your product includes a chatbot, Cursor helps write code, experimentations are done within an LLM Observability platform, Gemini transcribes sales calls, and Claude Cowork automates admin tasks. The CFO wants to know how much agents cost, the CEO wants to know the ROI of your 50+ agents, and engineering leadership wants to know how to improve them. This talk is a short DIY on how to locally ingest agent telemetry into your warehouse and transform it into analytics

Grafana & Friends Seattle

Operational AI: Real-Time Analytics in Production (Seattle)

1204 Minor Ave

***[REGISTER ON LUMA](https://luma.com/l4ka4885)***

​AI demos are easy. Building AI systems that actually work in production - in real time, under pressure, with messy data and real users - is where things get interesting.

At this [OSA Community](https://osacom.io/?utm_source=luma) meetup, engineers and practitioners will share how they’re building real-time analytics and AI systems at production scale: streaming pipelines, real-time databases, feature stores, event-driven architectures, and the open-source technologies making it all possible.

If you work on data infrastructure, AI applications, observability, streaming systems, or just like hearing how modern systems are really built, you’ll fit right in.
​Food and drink are provided!
***[REGISTER ON LUMA](https://luma.com/l4ka4885)***

***

# ​Speakers

* ​Robert Hodges, CEO @ [Altinity](https://altinity.com/?utm_source=luma)
* ​Dmitri Pappa, Senior Solutions Engineer @ [Grafana](https://grafana.com/?utm_source=luma)
* ​Nick Acosta, Developer Advocate @ [Collate](https://www.getcollate.io/?utm_source=luma)

***

# ​**​​Agenda**

* ​**6 pm** \- Networking
* ​**6:15 - 8:00 pm** \- Talks
* ​**8:00 - 9:00 pm** \- Networking

***

***[REGISTER ON LUMA](https://luma.com/l4ka4885)***

# ​**​​​​Description of the Talks**

## ​**​​​​​​Is It Safe? Letting AI Touch Production Data Without The Tears**

​**Speaker**: Robert Hodges, CEO @ Altinity
​**Abstract**: Let's talk about AI safety. On June 2nd our first support case arrived in which a user's AI agent deleted a production table. It's a moment we've long anticipated. This talk presents practical ways to give AI access to production data while avoiding the dangers. We'll focus on three specific problems: ensuring only authorized agents access data, preventing accidental loss, and keeping proprietary information out of hosted LLMs. The solutions range from here-and-now approaches like OAuth and MCP to long-range opportunities like local models. Letting AI agents range free over data is the dream. Let's do the engineering to make it real.
​**Speaker Bio:** Robert Hodges serves as CEO at Altinity, an enterprise provider for ClickHouse®. Robert has over 30 years of experience with database systems and applications including pre-relational databases such as M204, online SQL transaction processing, Hadoop, and analytics.
​

## ​AI Observability with Grafana

​**Speaker:** Dmitri Pappa, Senior Solutions Engineer @ Grafana
​**Abstract**: ​​​Join us for the latest from Grafana Labs, a leader in AI Observability. Grafana software helps over 35 million global users solve problems, monitoring everything from watering plants to critical IT infrastructure at the world’s largest companies.
​In this session we will discuss our “actually useful” Grafana AI tools including:

* ​Grafana Assistant - Accelerate dashboard creation, analytics and troubleshooting
* ​AI Observability - Expand visibility into 3rd party agents, conversations, tools and tokens
* ​Assistant Investigations - Leverage a fleet of specialized agents for rapid root cause analysis

​**Speaker Bio**: Dmitri spent his career automating software at HPE and IBM. He has spent the last few years helping Grafana customers mature their Observability practices, now leveraging AI tools.
​

## ​Building Better Agent-Driven Analytics with Open Source and Open Standards

​**Speaker:** Nick Acosta, Developer Advocate, Collate
​**Abstract**: AI has transformed software engineering. With code living inside a designed context system where files have structure, dependencies are explicit, and repositories make every change reviewable, agent-driven code is now easy, but using that same model that is rewriting the world's codebase for analytics finds it leveraging tools that share no data model, grasping at definitions that drift, and traversing lineage that breaks down across an ever-growing data stack. This talk covers what Anthropic and OpenAI are building internally to address their own semantic and context issues, and what a similar solution might look like for you in open-source by introducing OpenMetadata, an open Semantic Context Graph connecting tables, lineage, glossary terms, and governance into one machine-readable layer.
​**Speaker Bio**: Nick moved to Los Angeles in 2018 and has worked as a Developer Advocate for open-source data projects ever since, including positions at IBM, Fivetran, and now Collate, who are building OpenMetadata: the #1 open context layer for humans, AI assistants, and agents.

Grafana & Friends Los Angeles

Operational AI: Real-Time Analytics in Production (LA)

The KINN

Grafana

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グループ

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