What's beyond observability and how to get there

Businesses are struggling to realize the full value of their data in timely and cost-effective ways. Unprecedented challenges are being posed by the expanding data landscape, scarcity of skilled data professionals, and migration to cloud-native architectures. Observability solutions hold the promise of helping data professionals tackle these challenges and improve the business agility of data initiatives.

We start by taking a deep look into the challenges where observability helps or is supposed to. By staying focused on customer pain points, we will attempt to separate reality from aspiration. What emerges are some clear directions for what lies beyond observability, as well as a path to get there. If you’re building or running a modern data stack, then this talk will help you answer questions like:
  • Which of my team’s pain points can today’s observability solutions truly solve, and how best to roll them out?
  • What might the future hold for observability in an AI-infused world?
  • How do I apply observability to develop world-class DataOps practices within my organization?

Luis Carlos

Cruz Huertas

Head of Technology


& Automation


Shivnath Babu

Co-Founder & CTO






What is the cost to attend and watch the virtual sessions?

Data Team Summit is always free and open for all to attend.

What is Data Teams Summit?

Data Team Summit is the official DataOps peer-to-peer community.

It's a time each year for everyone, from DataOps, CloudOps, AIOps, MLOps, to other technology professionals, to gather virtually to share the latest trends and best practices for running, managing, and monitoring data pipelines and data-intensive analytics workloads.

Sessions include talks by DataOps professionals at leading organizations, detailing how they’re establishing data predictability, increasing reliability, and reducing costs.

New to DataOps?

DataOps is a holistic approach to the creation, deployment, monitoring, management, and optimization of data-driven applications. It describes the culture and rules of engagement that allow data teams to deliver and maintain high-quality, on-time data products, often powered by AI and machine learning, in an agile and cost-effective way.

DataOps defines how data teams work and also affects data consumers and those whose work causes new data to be created and used within the organization. Their work enables the entire organization to access data efficiently for data-driven decision-making and for the creation and delivery of data-driven applications.

Organizations with well-developed DataOps strategies, governance, and processes can expedite the delivery of data-driven workflows and results faster and better than others.

Who comes to Data Teams Summit?

DataOps professionals and experts including data administrators, data architects, data engineers, data analysts, AI/ML professionals, and data technology leadership.

Join us for sessions on:

  • Data teams & best practices
  • Data pipelines & applications
  • DataOps observability
  • Data quality & data governance
  • Operations observability
  • MLOps
  • Data modernization & architecture
  • Biz/FinOps observability

Want to submit a session for Data Teams Summit 2023?

Send us a note to astronaut@solutionmonday.com or submit a talk proposal here: datateamssummit.com/cfp

Sign up below for a free ticket to Data Teams Summit on January 25th, 2023!

Interested in speaking at Data Teams Summit or participating as a community sponsor?

Please contact astronaut@solutionmonday.com.