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How Calibo’s IDP helps you to deploy an OpenAI Chat Bot

Learn how to deploy an OpenAI Chat Bot using Calibo to streamline your development process across multiple platforms.

Octavio Martin, August 7, 2024

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Common misconceptions of platform engineering
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6 common misconceptions of platform engineering

Uncover the misconceptions of platform engineering and learn how to leverage Internal Developer Portals for better efficiency.

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From raw data to actionable insights
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From raw data to actionable insights: an introduction to seamless integration 

This blog is written to be accessible for both seasoned data professionals and non-technical folk looking for inspiration on how to turn their data into something more useful (the right way). But if you’re the latter, perhaps skip the intro—we’re nerding out a bit.   Having worked in the data world for some time now, I’ve…

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Whats platform engineering
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What is platform engineering?

Explore the concept of platform engineering and how it builds upon software engineering to enhance development environments.

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DevSecOps Calibo Mastering DevOps enhancing security in continuous delivery
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Mastering DevSecOps – enhancing security in continuous delivery 

Explore Mastering DevSecOps and learn how to integrate security into your DevOps workflow for better compliance and trust.

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Building a million-dollar data product: A step-by-step guide
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How to build a data product: A step-by-step guide to success

Summary Creating a truly valuable data product goes far beyond dashboards—it requires treating it like a startup. Start by understanding the user’s problem, then centralize fragmented data sources onto scalable platforms (like Snowflake or Databricks). Ensure trust through strong data quality, governance, and integrity checks. Design with empathy—embed analytics into familiar workflows to drive adoption.…

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learnings from Platform con 2024
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8 key learnings from Platform Con 2024 

Summary Platform Con 2024 underscored that culture is paramount—platform engineering thrives when it reduces developer cognitive load, treats the platform as a product, and fits seamlessly into users’ workflows. Key insights included: empowering developers with slick tooling to drive innovation, understanding user needs boosts satisfaction and organizational performance, embracing incremental product-like tweaks guided by feedback,…

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