This week I'm considering the benefits of so-called PostModern Data tooling (inspired by Tomasz Tunguz's recent post). Why is it such a good model to start with OSS and then offer a paid version? Shoutout to Dagster Labs, MotherDuck, Tobiko, ClickHouse, Lightdash and of course Cube, who I count among these tools. https://lnkd.in/e-nj_XUS
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ClickHouse + @opentelemetry = 🔥 We're thrilled to announce official support for the OpenTelemetry exporter for ClickHouse, now graduated to Beta for both logging and tracing! 🚀 This milestone empowers our users to build observability solutions on ClickHouse and OpenTelemetry with even more ease and confidence and includes enhancements in the default schema and new optimizations to boost compression. Read our latest blog post for all the details, where we share the journey, key insights, and practical considerations behind our approach to a “one size fits most” schema. 👇 https://lnkd.in/gsqShuPn
ClickHouse and OpenTelemetry
clickhouse.com
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ClickHouse + OpenTelemetry = 🔥 We're thrilled to announce official support for the OpenTelemetry exporter for ClickHouse, now graduated to Beta for both logging and tracing! 🚀 This milestone empowers our users to build observability solutions on ClickHouse and OpenTelemetry with even more ease and confidence and includes enhancements in the default schema and new optimizations to boost compression. Read our latest blog post for all the details, where we share the journey, key insights, and practical considerations behind our approach to a “one size fits most” schema. 👇
ClickHouse and OpenTelemetry
clickhouse.com
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Temporal Technologies offers a durable execution system that helps developers build scalable applications and manage long-term workflows without sacrificing productivity or reliability. As the company’s cloud offering grew, they realized they needed an observability system that could handle massive datasets and deliver real-time insights without driving up costs. At a recent meetup in Seattle, engineer Sean Gillespie outlined the system they built, powered by ClickHouse , diving deep on distributed tables, schema optimization, and write-read aggregation. Sean also shared some big wins: ⚡ Their ingestion system now processes up to 150,000 rows per second, allowing for real-time handling of telemetry data 🏎️ Queries to write-aggregated tables return results in under 200 milliseconds, ensuring dashboards load with minimal delay 🗜️ Their largest table achieves a 36.59x data compression ratio, significantly reducing storage costs Want to learn more about how Temporal is using ClickHouse to supercharge their observability? Read the full story on our blog 👀 https://lnkd.in/dwsZ_sMH
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If you are starting your GenAI journey or evaluating Vector Database options, connect with DataStax, not just for a pitch, but for an education on considerations and best practices. Their pitch isn't too shabby either. Thanks Ed Anuff, Abhishek Reddy, Harry Ault and the DataStax team for the education and partnership
AWS for Software Companies, Customer Interview, DataStax | Amazon Web Services
https://www.youtube.com/
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Lariat Data's self-service installation gets you up and running with monitoring your data stack in just a few minutes. Our CTO Aaditya Talwai has laid out some important design choices we made in delivering a best-in-class installation experience across multiple clouds and data sources. https://lnkd.in/g4xXZqfp
How to design a seamless self-service installation experience for Hybrid SaaS — Lariat Data
lariatdata.com
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Aaditya Talwai wrote a great post about how we've built our self-service install experience. Worth checking out, especially if you're interested in doing this for Hybrid SaaS!
Lariat Data's self-service installation gets you up and running with monitoring your data stack in just a few minutes. Our CTO Aaditya Talwai has laid out some important design choices we made in delivering a best-in-class installation experience across multiple clouds and data sources. https://lnkd.in/g4xXZqfp
How to design a seamless self-service installation experience for Hybrid SaaS — Lariat Data
lariatdata.com
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Astra Platform - The Universal API for LLM Function Calling A single line of code to supercharge your LLM with integrations. And without complex JSON Schemas. #AstraPlatform #UniversalAPI #LLMFunctionCalling #LowCodeIntegrations #APIManagement #ArtificialIntelligence #MachineLearning #APIIntegration #SimplifiedDevelopment #Innovation https://lnkd.in/gr_JeQhK
Astra - Universal API for LLM Function Calling
tryastra.io
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arn_parse and arn_build are very useful and will simplify the way we manipulate data, including numeric calculations, string manipulations, collection transformations, validations, and other operations https://lnkd.in/gYet4KSD
Terraform 1.8 provider functions for AWS, Google Cloud, and Kubernetes
hashicorp.com
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With EOY tech evaluations coming up (or already started) OP has your back. We wrote this article with RevOps teams in mind. https://lnkd.in/eViVDbXP
7 things to consider when you shop for a data enrichment provider
https://www.openprisetech.com
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Curious about the secrets behind successful WHMCS data analytics with MetricsCube? There’s no better way of finding out than looking at things from an insider’s perspective! Our latest Blog post features an exclusive interview with Bogdan Tirpescu, CPO at ChemiCloud, who eagerly sheds light on why, after experimenting with QuickBooks and Baremetrics, they ultimately embraced MetricsCube for transforming their analytical workflows. Read and enjoy: https://lnkd.in/dx-wsu5x #MetricsCube #ChemiCloud #DataAnalysis #DataAnalytics #BusinessData #SuccessStory #WHMCS
Reporting for success - ChemiCloud Case Study
https://www.metricscube.io/blog
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