Systems | Development | Analytics | API | Testing

Demo: Unravel Data - Optimizing Cloud Costs at the Cluster Level

Sep 26, 2022 By Unravel In Unravel
Most DataOps teams have a huge opportunity when it comes to optimizing their cloud costs. Today, the standard for success of many developers is ensuring that their jobs are running at all costs. The efficiency of those jobs isn’t the top priority. With Unravel, DataOps teams can optimize cloud costs by rightsizing their clusters. Unravel makes it easy to identify clusters that are consuming a large percentage of resources, and drill down to see automatic recommendations to improve the efficiency of those clusters.
View Video

Demo: Unravel Data - Map Your Workloads to the Cloud (and Calculate Costs)

Sep 26, 2022 By Unravel In Unravel
When a data team is migrating applications to the cloud, they’ll need to anticipate how many resources those apps will consume. This can often take a DataOps teams into unfamiliar territory since on-prem applications are assessed very differently from a utilization standpoint. This information is critical to inform the cloud architecture - and to anticipate the total cost of ownership for the cloud migration.
View Video

Unravel: DataOps Observability Designed for Data Teams

Sep 26, 2022 By Unravel In Unravel
Today every company is a data company. And even with all the great new data systems and technologies, it’s people—data teams—who unlock the power of data to drive business value. But today’s data teams are getting bogged down. They’re struggling to keep pace with the increased volume, velocity, variety, complexity—and cost—of the modern data stack. That’s where Unravel DataOps observability comes in. Designed specifically for data teams, Unravel gives you the observability, AI, and automation to help you understand, optimize and govern your data estate—for performance, cost, and quality.
View Video

Demo: Unravel Data - Preparing for Cloud Migration with Automated Cluster Discovery

Sep 26, 2022 By Unravel In Unravel
One of the first steps of any cloud migration is creating an inventory of the applications and services that are currently being used. Today, that involves a lot of manual interviews with people from across the business to understand the needs behind each cluster. This process, as you can imagine, is incredibly prone to errors and miscommunications that can negatively impact migration planning efforts.
View Video

Demo: Unravel Data - How to Avoid Tuning & Replatforming Delays

Sep 26, 2022 By Unravel In Unravel
How can your DataOps team anticipate bottlenecks that might occur during a cloud migration? One of the most common issues is version incompatibilities. On prem environments tend to run older instances of applications (vs. newer cloud environments) - which means that your team will need to consider any incompatible code before migrating.
View Video
unravel

DataOps Observability Designed for Data Teams

Sep 19, 2022 By Unravel Data In Unravel

Today every company is a data company. And even with all the great new data systems and technologies, it’s people—data teams—who unlock the power of data to drive business value. But today’s data teams are getting bogged down. They’re struggling to keep pace with the increased volume, velocity, variety, complexity—and cost—of the modern data stack. That’s where Unravel DataOps observability comes in.

Read Post
unravel

DataOps Observability: The Missing Link for Data Teams

Sep 15, 2022 By Unravel Data In Unravel

As organizations invest ever more heavily in modernizing their data stacks, data teams—the people who actually deliver the value of data to the business—are finding it increasingly difficult to manage the performance, cost, and quality of these complex systems. Data teams today find themselves in much the same boat as software teams were 10+ years ago. Software teams have dug themselves out the hole with DevOps best practices and tools—chief among them full-stack observability.

Read Post
unravel

Expert Panel: Challenges with Modern Data Pipelines

Sep 1, 2022 By Stephen Lamont In Unravel

Modern data pipelines have become more business-critical than ever. Every company today is a data company, looking to leverage data analytics as a competitive advantage. But the complexity of the modern data stack imposes some significant challenges that are hindering organizations from realizing their goals and realizing the value of data.

Read Post

A DataOps Observability Dialogue: Empowering DevOps for Data Teams

Aug 31, 2022 By Unravel In Unravel
A DataOps Observability Dialogue: Empowering DevOps for Data Teams It used to be said that software is eating the world, but now data is running things. And it’s high-functioning data teams who make it all happen. But data teams are facing several obstacles that prevent them from delivering innovative analytics at today’s increased speed and scale. Software teams have been facing the same challenges for 10+ years and have tackled them with DevOps. So why are DataOps teams struggling when DevOps teams aren’t? They’re using the same tools to solve basically the same problem. . . .
View Video

Copyright © 2026 OpsMatters™. All rights reserved.