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Observability Designed for DataOps. Finally.
Today’s data teams find themselves caught in a four-way crossfire: data is more business-critical, there’s more of it, the modern data stack is more complex, and costs are spiraling out of control. They’re feeling overwhelmed and frustrated by perpetual firefighting and trial-and-error optimization instead of being able to innovate and deliver value. Data teams are falling behind, treading water while the competition is blazing forward.
These challenges echo what software teams have wrestled with for years. DevOps observability has liberated them by automating manual toilsome tasks, breaking down silos, and empowering self-service. We can take the same approach for data teams. But DataOps observability for data applications is a completely different animal from DevOps observability for web applications.
Telemetry designed for the modern data stack captures millions of granular details from every system and contextualizes them for the task at hand in a unified view.
Advanced analytics (dependency maps, rules engines, AI/ML algorithms) automatically show you not just what’s going on and why, but tell you exactly what to do next.
Proactive alerts and policy-based autonomous corrective actions put the brakes on cost overruns and nip performance issues in the bud, before they become problems.
Advanced Cost Governance
Understand, optimize and actively govern your costs
AI-enabled cost governance identifies where you’re spending more than you have to (and how to fix it), with guardrails to proactively manage costs and prevent budget overruns.
AI-Enabled Optimization
Optimize for performance and cost before you deploy
Automated AI recommendations eliminate trial-and-error tuning. Unravel cuts to the chase to tell you exactly how to change code or configurations for better performance and cost.
Automated Troubleshooting
Less effort, more problem-solving—faster, easier
No more spending hours (or days) doing time-consuming manual detective work. Unravel’s automated root cause analysis pinpoints why jobs fail or where pipelines are bottlenecked.
Cloud Migration IQ
Avoid landmines and setbacks before, during, and after migration
Avoid migration setbacks and cost overruns. Unravel’s deep intelligence and automation enables confident, data-driven decisions before, during and after your move to the cloud.
Understand, optimize and actively govern your costs
AI-enabled cost governance identifies where you’re spending more than you have to (and how to fix it), with guardrails to proactively manage costs and prevent budget overruns.
Optimize for performance and cost before you deploy
Automated AI recommendations eliminate trial-and-error tuning. Unravel cuts to the chase to tell you exactly how to change code or configurations for better performance and cost.
Less effort, more problem-solving—faster, easier
No more spending hours (or days) doing time-consuming manual detective work. Unravel’s automated root cause analysis pinpoints why jobs fail or where pipelines are bottlenecked.
Avoid landmines and setbacks before, during, and after migration
Avoid migration setbacks and cost overruns. Unravel’s deep intelligence and automation enables confident, data-driven decisions before, during and after your move to the cloud.
“Unravel’s really great at pointing out to you the things that were actually causing the most pain and suffering.”
Jeff Lambert
VP of Data Solutions, Kroger/84.51°
Instead of hopping from system to system, cobbling together disparate details and poring through logs and metrics and config files, Unravel correlates everything in a single view contextualized for DataOps.
Automated cluster discovery eliminates blind spots, guesswork and time-consuming investigation that derail migrations. Uncover everything you have running—including complex dependencies—in just 7-10 days.
Lose the manual detective work when troubleshooting. AI-enabled automated root cause analysis pinpoints why jobs fail or where something went wrong in your pipeline. Actionable answers—not more charts and graphs—are just a click away.
See exactly how your on-prem workloads would map to different cloud environments, and calculate projected costs down to the penny with data-driven what-if scenarios. Migrations accelerate by at least 6 months.
AI recommendations go “beyond observability” to tell you exactly how to change configurations or code to optimize for performance and cost. Customers see on average a 30% performance improvement at 50-60% lower cost, reducing ticket volume by up to 70%.
Don’t be ambushed by your monthly cloud bill. Track actual and projected spend against budget in real time to know with precision where you stand. AI recommendations tell you exactly where and how to reduce costs—by at least 50%.
Customers have seen AI-enabled optimizations and automated, policy-based guardrails—threshold-violation alerts and/or autonomous AutoActions—proactively lower cloud costs from 55-66% across 100,000s of applications.
Get automatic code-level visibility and insights into your data applications. One-click drill-down into correlated details shines a light on the individual line of code causing problems.
A bird’s-eye view of cloud costs isn’t all that helpful. Controlling costs demands knowing exactly where the money is going. Unravel breaks down cloud costs by team, application, even down to the individual job or user.
