Unravel Data Announces Unravel 4.4
August 29, 2018
Share this

Unravel Data will introduce new capabilities for operationalizing big data applications in production at scale with the launch of Unravel 4.4.

Unravel 4.4 introduces new innovations and capabilities to simplify operations whilst ensuring big data applications are highly reliable and predictable under the most demanding of eEnterprise big data and analytical workloads.

“We were the first in the category to deliver automated configuration tuning recommendations. Our latest release builds on that, leveraging our Machine Learning engine to extend automated tuning recommendations to an entire cluster for all tenants,” said Kunal Agarwal, CEO, Unravel Data. “Users get an end-to-end, granular view that shows how each application is performing across all infrastructure dependencies. Combined with other new capabilities in this release, we are helping eliminate the painstaking, trial-and-error configuration, troubleshooting and remediation workflow that’s long plagued big data Operations teams and now made it possible to manage large scale deployments in an agile and dependable manner.”

In order to accommodate growing enterprise big data deployments, Unravel 4.4 incorporates several major innovations. These include:

- Automation. Unravel 4.4 features new auto-tuning capabilities and sessions frameworks, enabling users to tune jobs automatically to a desired goal (such as speedup, SLA, and resource efficiency). Unravel leverages artificial intelligence operations (AIOps) optimization techniques to converge operation metrics with recommendations and actions to deliver a desired business outcome.

- Capacity Planning: Big data clusters tend to accumulate lots of data and operators are constantly under pressure to add more capacity to meet demands. Traditional approaches to capacity planning are very labor-intensive and exacerbate the problem through the use of ad-hoc spreadsheet models and reliance on tribal knowledge of cluster administrators. With the addition of capacity planning reporting, Unravel 4.4 provides an intuitive and data-driven approach to visualize and predict the growth of the cluster and make an informed decisions around capacity and resource requirements.

- Cluster Optimization: Unravel has long provided actionable insights and recommendations on a per-application basis. The platform was the first in the industry to provide recommendations for tuning precise configuration parameters. Unravel 4.4 extends this capability to provide configuration tuning recommendation at the entire cluster level. With these global recommendations, cluster administrators can now improve the performance of all jobs and applications running on the cluster.

- NoSQL Support: This release adds support for NoSQL and HBase. Unravel 4.4 provides an APM-centric view for HBase usage and helps identify anomalies and outlier issues (for example, table/region hotspotting) that could adversely affect the application, while providing remediation techniques.

- Small Files Analysis: This release offers a new reporting feature that gives users a comprehensive view of entire directories and a granular look at small files. This feature allows users to reduce resource utilization by these small files, freeing resources for larger workloads.

Unravel 4.4 will be generally available in September 2018.

Share this

The Latest

September 17, 2020
One of the benefits of doing the <span style="font-style: italic;">EMA Radar Report: AIOps- A Guide for Investing in Innovation</span> was getting data from all 17 vendors on critical areas ranging from deployment and adoption challenges, to cost and pricing, to architectural and functionality insights across everything from heuristics, to automation, and data assimilation ...
September 16, 2020

When you consider that the average end-user interacts with at least 8 applications, then think about how important those applications are in the overall success of the business and how often the interface between the application and the hardware needs to be updated, it's a potential minefield for business operations. Any single update could explode in your face at any time ...

September 15, 2020

Despite the efforts in modernizing and building a robust infrastructure, IT teams routinely deal with the application, database, hardware, or software outages that can last from a few minutes to several days. These types of incidents can cause financial losses to businesses and damage its reputation ...

September 14, 2020

In Episode 7, Will Cappelli, Field CTO of Moogsoft and Former Gartner Research VP, joins the AI+ITOPS Podcast to discuss the future of APM, AIOps and Observability ...

September 11, 2020

Mark Thiele on the AI+ITOPS Podcast: "I believe AIOps will be everywhere, or you will be failing if you're attempting to do scale ..."

September 10, 2020

How is the AIOps market evolving? The answer in five words is: "Toward increasing levels of diversity." In the EMA Radar Report AIOps: A Guide for Investing in Innovation, EMA examined 17 vendors with cross-domain AIOps capabilities, along with doing 31 deployment interviews, and discovered a high degree of variety in design, functionality and purpose ...

September 09, 2020

In 2020, our society is undergoing massive upheaval and businesses are being forced to adapt on the fly. During this period of crisis, the companies that make the necessary adjustments the quickest will succeed. We're already seeing it happen in the accelerated push toward digitization, as companies that smoothly digitize their customer experiences move forward and those that don't get left behind ...

September 08, 2020

In Episode 6, Mark Thiele, Co-Founder and CEO of Edgevana, joins the AI+ITOPS Podcast to discuss taking AIOps to the edge ...

September 04, 2020

Bhanu Singh on the AI+ITOPS Podcast: "AIOps is an enabler for us to manage the complex digital world that we are stepping in at lightning speed ..."

September 03, 2020
Businesses — in order to remain competitive, agile, innovative, secure, and profitable — are embracing digital transformation. However, achieving success has often been a pipedream for many given the need to usher in cultural change and upgrade of the legacy systems. So, even when business leaders are in agreement with the need for embracing enterprise digital transformation, why is it that only a few have implemented it? What are the biggest barriers to a successful digital transformation initiative? Let us find out ...