Moogsoft Partners with HCL
April 28, 2021
Share this

Moogsoft announced a strategic partnership with HCL Technologies (HCL).

The partnership will deliver an end-to-end solution for automated remediation of IT incidents and help assure business service continuity and customer experience innovation in today’s digital economy.

The two companies will develop and deliver a joint solution combining the Moogsoft Observability Cloud’s artificial intelligence (AI)-driven anomaly detection and correlation with automated remediation capabilities from HCL’s DRYiCE™ iAutomate. This offering drastically reduces support costs while increasing operational efficiency and the frequency of DevOps CI/CD.

The pandemic has introduced a fully digital economy, adding IT complexity and scale across businesses. As a result, DevOps and site reliability engineering (SRE) teams increasingly look to automate tasks. The joint Moogsoft-HCL solution’s AI-based automation drastically reduces the Mean Time to Remediate (MTTR) incidents. It correlates multiple data streams and detects anomalies at machine speed, then delivers closed-loop automation throughout the remediation cycle to resolve underlying issues before they cause costly outages.

“Today’s fully digital enterprise produces massive amounts of constantly changing event data that DevOps, IT Ops, and SRE teams must use to keep improving digital services and experiences,” said Kaylan Kumar B, CTO and Head – Ecosystems at HCL Technologies. “By combining Observability, AI, and automation, these teams can maintain the efficiency to keep these services running, continue innovating, while reducing operations costs.”

The combined HCL DRYiCE iAutomate and Moogsoft solution enables customers to:

- Assure continuity: Prevents costly outages by automatically remediating issues before users are impacted.

- Maximize operational efficiency: Teams can manage more infrastructure in less time through closed-loop automation.

- Reduce support costs: By lowering ticket volumes and manual work, teams can spend their time on more valuable operations work, enabling developers and SREs to innovate faster.

“Today’s digital business requires DevOps and SRE teams to act on insights that old-fashioned monitoring tools fail to deliver in a useful timeframe,” said Moogsoft Founder and CEO Phil Tee. “The good news is that these teams can now leverage AI to surface actionable insights from observability data the time it takes to make a cappuccino. By combining these insights with automated remediation, these teams can move focus away from fighting fires and focus on improving the customer experience.”

Share this

The Latest

May 13, 2021

Modern complex systems are easy to develop and deploy but extremely difficult to observe. Their IT Ops data gets very messy. If you have ever worked with modern Ops teams, you will know this. There are multiple issues with data, from collection to processing to storage to getting proper insights at the right time. I will try to group and simplify them as much as possible and suggest possible solutions to do it right ...

May 12, 2021

In Agile, development and testing work in tandem, with testing being performed at each stage of the software delivery lifecycle, also known as the SDLC. This combination of development and testing is known as "shifting left." Shift left is a software development testing practice intended to resolve any errors or performance bottlenecks as early in the software development lifecycle (SDLC) as possible ...

May 11, 2021

Kubernetes is rapidly becoming the standard for cloud and on-premises clusters, according to the 2021 Kubernetes & Big Data Report from Pepperdata ...

May 10, 2021

Overwhelmingly, business leaders cited digital preparedness as key to their ability to adapt, according to an in-depth study by the Economist Intelligence Unit (EIU), looking into how the relationship between technology, business and people evolved during the COVID-19 pandemic ...

May 06, 2021

Robotic Data Automation (RDA) is a new paradigm to help automate data integration and data preparation activities involved in dealing with machine data for Analytics and AI/Machine Learning applications. RDA is not just a framework, but also includes a set of technologies and product capabilities that help implement the data automation ...

May 05, 2021

There is no one-size-fits-all approach to changing the experience of employees during a pandemic, but technological innovation can have a positive impact on how employees work from home as companies design their digital workspace strategy. The IT team supporting this shift needs to think about the following questions ...

May 04, 2021

Downtime. It's more than just a bar on the Rebel Alliance's base on Folor. For IT Ops teams, downtime is not fun. It costs time, money and often, user frustration. It takes more than the Force to handle incidents ... it takes an intergalactic team. An effective incident management team is made up of people with many different skill sets, styles and approaches. We thought it would be fun to map the heroes of IT Ops with Star Wars characters (across Star Wars generations) based on their traits ...

May 03, 2021

Vendors and their visions often run ahead of the real-world pack — at least, the good ones do, because progress begins with vision. The downside of this rush to tomorrow is that IT practitioners can be left to ponder the practicality of technologies and wonder if their organization is ahead of the market curve or sliding behind in an invisible race that is always competitive ...

April 29, 2021

According to a new report, Digital Workspace Deployment & Performance Monitoring in the New Normal, 82% of respondents had changes in their digital workspaces due to the pandemic ...

April 28, 2021

There are a few best practices that DevOps teams should keep in mind to ensure they are not lost in the weeds when incorporating visibility and troubleshooting programs into their systems, containers, and infrastructures. Let's dive into these best practices ...