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Generative AI Will Be An Integral Part Of Every Observability Product | Jeremy Burton – Observe


Guest: Jeremy Burton (LinkedIn)
Company: Observe (Twitter)
Show: Newsroom

Observe recently announced the launch of its Hubble observability platform, which aims to simplify observability for developers. The Hubble release brings generative AI into the equation, and introduces new scale and latency capabilities to make it easier and quicker for developers to monitor and troubleshoot their applications.

In this episode of TFiR: Newsroom, Jeremy Burton, CEO of Observe, talks about the current challenges users are facing with observability and how Observe’s Hubble observability platform is helping. Burton also takes us through their journey as a startup and shares some details from their recent announcements.

  • Observe was founded in 2017 to help companies struggling with the complexity of microservice architectures as they were moving to cloud-native apps. The company aimed to bring together log analytics, monitoring, and APM into one product to address these challenges.
  • Burton tells us the average time spent resolving an incident is almost three hours, which detracts the developer from doing what they love to do – writing code and building new features. Observability helps teams reduce their meantime to resolve incidents significantly.
  • Although it is possible to assemble an observability stack from open source, Burton does not believe it is anybody’s core competence. Observe offers their observability solution as a SaaS and manages everything so that developers do not have to worry about it.
  • Burton discusses the evolution of Observe as a company and talks about their latest Hubble release and its capabilities such as scaling the platform to a petabyte of data a day, introducing latency of data below 15 seconds, and including new generative AI features that will make it easier for users to get started.
  • Generative AI makes it easier to interface with observability tools, but Burton also feels that we are starting to see a new class of applications that are built against open AI or private LLMs and people are going to want to be able to observe that interaction.
  • Observe raised $15 million in their Series A funding three years ago and has run the company off of debt financing since then. Burton talks about the reasons behind the strategy to deter the company dilution until the company was more valuable.
  • Burton discusses the journey of the company and where they have focused their time. He goes on to share details about their Observe free trial and some of the announcements with Snowflake, such as allowing Snowflake customers to use their existing Snowflake contract to run Observe.

This summary was written by Emily Nicholls.