Gabriela Ferrara

I'm speaking at SREday NYC on November 7, hosted at Datadog's office in New York! My talk: 𝗔𝗴𝗲𝗻𝘁𝘀 𝗖𝗮𝗻 𝗪𝗿𝗶𝘁𝗲 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀. 𝗧𝗵𝗲𝘆 𝗦𝗵𝗼𝘂𝗹𝗱𝗻'𝘁 𝗦𝗵𝗶𝗽 𝗧𝗵𝗲𝗺. AI agents are getting good at writing database migrations. But writing a migration and safely running it against production are two very different things. In this live demo, I'll walk through an agent-assisted PostgreSQL workflow using Tiger Cloud and the Tiger CLI. You'll leave with a practical blueprint for shipping database changes faster without handing agents the keys to production. If you're in NYC and care about SRE, DevOps, or Postgres, come say hi. #SREday #PostgreSQL #SRE #DevOps #AIAgents #DatabaseReliability #TigerData

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#dbtSummit gave us a first look at what’s next for Fivetran + dbt Labs. From open data lakes and faster transformation to trusted context for AI agents, the announcements brought our vision for Open Data Infrastructure another step closer to reality. Missed Vegas? Catch the keynotes, technical sessions, and product announcements on demand. 👇 https://lnkd.in/p/eadBCvrU

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Hi, if you missed the announcement - AlloyDB now supports compatibility with PostgreSQL version 18 not in preview but in GA (general availability). So if you were waiting for some unique PostgreSQL 18 features such as skip scan for b-tree indexes or parallel GIN indexes build then the time has come. Ready for production and upgrade!  https://lnkd.in/eyaxs4JH

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We built K8SOPZ to eliminate the "observability tax" that comes with scaling Kubernetes. We’re moving beyond basic monitoring into unified cluster control. We’ve consolidated the entire K8s lifecycle into one intuitive dashboard. No more context-switching, no more "black boxes." 🔍 Full-Stack Visibility: See everything from the control plane to the worker nodes in one place. 🏥 Instant Health Checks: Visualize your fleet’s state. Catch pending pods and node pressure before they become outages. 🪵 Deep Pod Observability: Logs, events, and resource metrics are just a click away. No terminal required. 💰 Intelligent Autoscaling: Keep a pulse on HPA and VPA events. Scale up for performance, scale down for your budget. K8SOPZ isn't just another dashboard—it's the operational layer that turns "infrastructure as code" into "infrastructure as insight." Ready to simplify your Ops? Check out K8SOPZ today. #Kubernetes #DevOps #SRE #CloudNative #K8SOPZ #PlatformEngineering

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Let's be honest... how many times have we complained that search, well, sucks. 🙃 What if I said that it wasn't search itself, but rather the architecture behind search? Forget the strapped-together tooling combined with thoughts and prayers; just use Postgres. Check out this blog + tutorial I built for Tiger Data (creators of TimescaleDB) that not only breaks down how hybrid search works, but also how to kick the tires on it yourself. Using podcast transcripts from the Conduit podcast hosted by Jay M., explore how to use `pg_textsearch` and `pgvectorscale` to build a hybrid search that takes both contextual and keyword data into account. linkydoos in comments #Postgres #PostgreSQL #Search #VectorSearch #HybridSearch

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Modernization shouldn't mean discarding years of application logic and engineering investment. Too many teams are told they need to rewrite their apps to adopt AI. With 100% PostgreSQL compatibility, AlloyDB lets you modernize forward without starting from scratch. Keep the PostgreSQL tools you already trust, while adding high-performance vector search with the ScaNN index, vector embeddings, natural-language capabilities, and more; directly to your operational data. Check out our new eBook on building enterprise AI on a trusted database foundation → https://goo.gle/4xixyNb #AgenticDataCloud #VectorSearch #PostgreSQL #OperationalDatabases

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The nice thing about Queues for Kafka is that you don't need to change how data is produced or stored. It's simply a new way to consume topic data: you can treat it as a commit log or as a queue. In fact, the same topic can even be consumed both ways at the same time by different consumer groups. Want to learn more about it? 👇👇👇

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