Operations | Monitoring | ITSM | DevOps | Cloud

July 2022

How Robotic Data Automation Fabric (RDAF) Could Automate Data Pipelines

AI has certainly become the hallmark of digital transformation strategy. According to IDC, global AI spending is forecasted to reach $500 billion in 2024 with a CAGR of 17.5%. Likewise, Gartner predicts low-code application platforms (LCAP), robotic process automation (RPA) and AI are fueling the growth for hyperautomation, and the market will reach $596 billion in 2022, up nearly 24%.

Gain unprecedented monitoring visibility with AIOps

AIOps (artificial intelligence in IT operations) in monitoring refers to the convergence of artificial intelligence, machine learning, and data analytics to make IT monitoring a responsive, intelligent, and agile business function. AIOps is not an alternative to DevOps but a great partner to it that provides intelligent insights when integrated with every stage of the cycle.

Moogsoft Green Credentials

Waste is never a good thing. And rumblings of an economic downturn, alongside dire warnings of climate change, are making it increasingly necessary to address waste. As a society, we need to reduce consumption, data included. First, we all must acknowledge the high cost of data. Despite the prevailing opinion of the 2010s, data isn’t free. There’s a monetary and carbon cost to keeping data alive.

Episode 5: Mooving to... Practical Postmortems

Episode 5, Mooving to… Practical Postmortems covers how to leverage postmortems to effectively learn from failure. Postmortems are a commonplace reference and are now considered a best practice in most modern engineering teams. However, there’s still a lot of confusion on what postmortems should be – and more importantly, what they should NOT be. Thom Duran, Senior Manager of Productivity from Panther walks us through all that and more in the latest Mooving To.. episode!

Topology Is Critical for AIOps

In this video, I explain what topology is and why it’s critical for the success of AIOps projects. Simply adding machine learning to event correlation has proven an ineffective approach for root causing IT issues in environments of any size or complexity. If you’re considering different approaches to AIOps, there are two questions you need to ask about topology. This brief video will arm you with those questions and will help make your AIOps project(s) successful.

The Observability Maturity Model Webinar | StackState, TechStrong Research, Ripple X

Based on research and conversations with enterprises from various industries, StackState created the Observability Maturity Model. This model defines the four stages of observability maturity. The ultimate destination is level four, Proactive Observability with AIOps.

Topology Is Critical for AIOps

In this video, we explain what topology is and why it’s critical for the success of AIOps projects. Simply adding machine learning to event correlation has proven an ineffective approach for root-causing IT issues in environments of any size or complexity. If you’re considering different approaches to AIOps, there are two questions you need to ask about topology. This brief video will arm you with those questions and will help make your AIOps project(s) successful.

Don't Let Outages Ruin Your Reputation - Prevent Them With AIOps

The world is increasingly digital. The U.S. Census Bureau estimates e-commerce grew 14.2% from 2020 to 2021, for a total of $870.8 billion in sales. And just look at the trends in remote work. According to a FlexJob and Global Workplace Analytics report, remote work has grown 44% over the last five years and an astonishing 159% over the last 12. Indeed, much of America relies on a slew of digital apps and services to get business done every day. So what does this mean for businesses?

Combining AIOps with Service Intelligence: Critical for Digital Service Uptime

For years, Artificial Intelligence for IT Operations (AIOps) applications have helped organizations streamline and improve their IT processes for better business results. But today, with rising disruptions and BCG research noting that 70% of digital transformations fail, these incidence response applications alone are no longer enough to maintain digital service uptime and ensure customer satisfaction.

How Modern Log Intelligence Meets New Cybersecurity Regulations by CERT-In

According to Norton’s Cyber Safety Pulse Report, India faced over 18 million cyber threats in only Q1 2022, roughly 200,000 threats every day. Of the bulk, 60,000 were phishing attempts, and 30,000 were tech support scams. For perspective, phishing attempts around the world during the same period counted for approximately 16 million. CERT-In also reported over 2.12 lakh (~0.1 million) cybersecurity incidents until February 2022.

The Difference Between Generation 1 and Generation 2 AIOps Platforms

In this video, I explain the key difference between Generation 1 and Generation 2 AIOps platforms. As organizations develop strategies for implementing AIOps and as they consider different vendor approaches, it’s critical to understand the differences between those approaches. This brief video will help arm you with a key question you need to ask to easily identify the difference between Gen 1 platforms and Gen 2 platforms. It’s all about the types of data being collected.

Find Flow Podcast - The Past, Present and Future of AIOps

In this video, Sean McDermott of the Find Flow podcast sits down with Ani Gujrathi, chief technical officer for Zenoss, and myself. We dive into the original approach to AIOps, how that has evolved, and how it continues to evolve. We start by exploring the entire purpose of AIOps — figuring out how to accelerate problem resolution in modern, complex IT environments while dealing with the pervasive problem of monitoring tool silos.

Top 4 Use Cases for Using Restorepoint for MSP Compliance

The managed services provider (MSP) industry is at a pivotal moment in its history. With data management, security, and privacy regulations getting strengthened and added to the books all over the world, and with awareness of the risks associated with those issues on the rise, MSPs must take their role in compliance seriously. Any failure to do so will put individual MSPs at a competitive disadvantage, and incidents involving MSPs will be a stain on the industry’s reputation.

The Difference Between Generation 1 and Generation 2 AIOps Platforms

In this video, Trent Fitz, chief marketing officer of Zenoss, explains the key difference between Generation 1 and Generation 2 AIOps platforms. As organizations develop strategies for implementing AIOps and as they consider different vendor approaches, it’s critical to understand the differences between those approaches. This brief video will help arm you with a key question you need to ask to easily identify the difference between Gen 1 platforms and Gen 2 platforms. It’s all about the types of data being collected.
Sponsored Post

How to Build Your AIOps Business Case

The Great Resignation comes at an inconvenient time for IT leaders. Needing to accelerate plans for IT transformation because of the pandemic, organizations required more digital technology and services to support the shift to a hybrid workforce. Unfortunately, now organizations are struggling to find enough IT employees-with the right skill set-obstructing these digital transformation initiatives.

Sponsored Post

Data Observability With Robotic Data Automation Fabric

Digital-first businesses are striving for service assurance, which has become the lifeblood for their businesses processes. But they are increasingly getting complex across legacy and cloud-native applications, multi-cloud distributed services, with the rise of edge and when leveraged with Kubernetes and microservices architectures. Service assurance needs full-stack observability; however, customers need an approach to tame the data deluge while enabling actionable insights.