Absolutely. Containerized environments paired with observability tools like Kubernetes and Prometheus for data enable faster incident detection and response. Features like real-time alerts, dynamic thresholding, and on-call management workflows make it easier to maintain healthy pipelines and reduce downtime.

Great question! When you integrate dbt with Sifflet, you unlock a whole new level of data observability. Sifflet enhances visibility into your dbt models by pulling in metadata, surfacing test results, and mapping them into a unified lineage view. This makes it easier to monitor data pipelines, catch issues early, and ensure data reliability across your organization.

Data lineage provides visibility into data dependencies, which helps teams assign, prioritize, and resolve alerts more effectively. In an observability platform like Sifflet, this means faster incident response, better alert correlation, and improved on-call management workflows.

Sifflet uses ML-based data quality monitoring to detect anomalies in business metrics and alert users in real time. This enables both data and business teams to quickly investigate issues, perform root cause analysis, and maintain trust in their data.

For sure! Our CEO, Salma Bakouk, will be speaking about the top data trends to watch in 2025, including how GenAI and advanced anomaly detection are shaping the future of observability platforms. You’ll walk away with actionable insights for your data strategy.

With data stacks growing rapidly and teams staying the same size or shrinking, proactive monitoring is more important than ever. These AI agents bring memory, reasoning, and automation into the observability platform, helping teams scale their efforts with confidence and clarity.

Sifflet offers one of the most advanced data lineage tracking capabilities out there. Think of it like a GPS for your data pipelines—it gives you full traceability, helps identify bottlenecks, and supports better pipeline orchestration visibility. It's a game-changer for data governance and optimization.

We're excited to be investing in four key areas: enhancing our product roadmap, expanding our AI-powered capabilities, growing our North American presence, and accelerating hiring across teams. These efforts will help us continue leading in cloud data observability and better serve our growing customer base.