Operations | Monitoring | ITSM | DevOps | Cloud

April 2021

Q&A from the Moogsoft/Datadog Fireside Chat

On April 15th Moogsoft’s VP Marketing, John Haley, welcomed Datadog Product Manager, Alex Vetras, along with DevOps Institute Chief Ambassador, Helen Beal, and Moogsoft’s CTO, Dave Casper, for an informal roundtable exploring how users can now see rich-context incidents from across the full stack in minutes, and the opportunities this presents to organizations.

How our Field Teams' Productivity Skyrocketed with our New AIOps Studio

Lately, I have seen fewer call outs from our field teams to our solution engineering team, and I was wondering what could be the reason? Sometimes, our field engineers approach our solution engineering team with advanced requests for data analysis, running what-if scenarios and assessing the quality of data and what new value can be gleaned by combining related datasets.

New Gartner AIOps Platform Market Guide Shows More Use Cases for Ops and Dev Teams

Gartner jumps right into it, describing a reorientation of a tool that has previously focused on IT service management and automation. AIOps is now also enabling a variety of new observability use cases for DevOps and Site Reliability Engineering (SRE) teams. This blog presents the guide’s major findings and a link so you can read the report for more details. About the AIOps Platform Market

Q&A With Forrester Senior Analyst Rich Lane

I recently had the honor of moderating a webinar featuring Forrester Senior Analyst Rich Lane and Steve Breen, Head of Managed Services at ANS, titled “AIOps for the Modern Enterprise: Real-World Advice & Implementation Tips from the Pros.” In this informative session, Rich and Steve talked about the importance of building AI and automation into business strategy and provided tips, tricks, and real-life examples of how modern organizations are using AIOps to drive positive business outc

AIOps in 2021 and Beyond: 5 Trends You Should Be Aware Of

As businesses become increasingly digital, IT operations now deal with more extensive and more complex data than before. Traditional tools and strategies might no longer be enough to help them cope with their growing workload. Hence, many organizations are tuning in to the various AIOps trends available. AIOps is short for Artificial Intelligence (AI) for IT Operations. This is where they use Machine Learning(ML) to enhance and automate IT functions.

The true cost of IT Ops, the added value of AIOps

Today’s IT landscape is complex, hybrid, and fast-moving, and the adoption of multi-cloud infrastructure, applications, and new digital transformation initiatives is accelerating. IT operations teams, playing a vital role in enabling the delivery of uninterrupted services and creating business value for enterprises, are finding they need to constantly grow their resources to manage all the moving pieces in their IT stack. This can get expensive … but how much are they spending?

A Day in the Life: James the IT Ops Guy Learns How to Connect All that Data

“Morning, mate,” I greeted Dinesh as he walked into the office. “Nice get up for the big day!” He was wearing a pressed shirt, rather than his usual hoodie. “Thought I’d make an effort, you know,” he grinned. We’d been planning intensely for this moment for the last week or so – our meeting with Charlie, the CIO, to present the results of our Moogsoft experiments and ask for permission to extend the rollout across the enterprise.

The More You Monitor - What is AIOps?

You might know AIOps as just another buzzword that been getting thrown around almost as much as 'cloud' and 'digital transformation', but do you really know what AIOps is and how it uses AI and machine learning to unlock a whole new realm of possibilities and efficiencies? In this episode of The More You Monitor Lead Sales Engineer, Donde Aponte, walks you through what AIOps and Observability truly means and how this new approach to IT operations can save IT and DevOps teams tons of time and stress by dramatically shortening MTTR and reducing the number outages and slowdowns.

Three Ways MSPs Can Benefit From Dynamic Thresholds

People around the world depend on Managed Service Providers (MSPs) to keep their businesses running like clockwork, even as their IT infrastructure evolves. Keeping workflows efficient leads to higher profits, but this can be a challenge due to a mix of on-premise infrastructures, public and private cloud, and other complex customer environments. The shift to remote work in 2020 due to the COVID-19 pandemic has only made this more challenging for MSPs.

Monthly Moo Update | March 2021

Here we are a full quarter into 2021, a year that took off in a huge way for us, and the momentum continues to grow strong. March was a monumental month, and now it’s a wrap. We released significant updates across the board in almost all areas of Moogsoft, including pushing innovation to newfound levels when it comes to the ease of integrating your metric and event data.

Taming the Data Problem and Accelerating AIOps implementations with Robotic Data Automation (RDA)

RDA enables enterprises to operationalize machine data at scale to drive AI & analytics driven decisions. RDA automates repetitive data integration, preparation and transformation activities using bots that are invoked in “no-code” data workflows or pipelines. RDA helps to move data in and out of AIOps systems thereby simplifying and accelerating AIOps implementations that otherwise would depend numerous manual data integrations and professional services activities.