Moogsoft announced the launch of new product features and several updates.
New features include extending integration capabilities to easily and openly connect disparate tools and data into a single source through the “Create Your Own Integration” and hybrid-cloud experiences; driving incident workflow automation to reduce toil using workflow auto close automation, tag aggregation and context, and automatic event enrichment; and making configuration and the lives of users even easier with secure credential store, data configuration overview and personalization.
The announcement of Moogsoft’s new product updates follows the release of the 2021 Gartner Market Guide for AIOps Platforms, which stated, “AIOps platforms enhance a broad range of IT practices, including I&O, DevOps, SRE and service management. … There is no future of IT operations that does not include AIOps. This is due to the rapid growth in data volumes and pace of change … that cannot wait on humans to derive insights.”
As the industry evolves, Moogsoft continues to release significant product updates, pushing innovation to newfound levels in order to simplify the distillation of metric and event data into meaningful insights.
The new product features allow Moogsoft users to optimize productivity and focus time back on innovation. The features and updates include the following:
Extending integration capabilities to easily and openly connect disparate tools and data
- “Create Your Own Integration” updates and enhancements: It’s the easiest and most transparent integration approach to connect all your disparate observability and monitoring tools. It allows users to generate a custom API endpoint to which they can send any raw event and/or metric data. Users are able to view the received payloads and easily map the data they choose to Moogsoft fields. Moogsoft then automatically normalizes and correlates the events into incidents users can action. With the latest update, users have the capability to integrate payloads that include multiple events within. This saves an immense amount of time, resources and money with complete transparency to get connected and operating quickly.
- Microsoft Azure App Insights integration (beta): Azure App Insights is a cloud-to-cloud integration that provides an administrator with the ability to ingest metric data that is configured in Microsoft Azure. The metric data will then be analyzed to establish the normal operating behavior with an upper and lower threshold. If the metric deviates from the normal behavior, an anomaly event will occur. This allows users to understand the difference between a normal behavior and a potential issue that they need to address and eliminates the need for administrators to manually create a threshold for each metric. By understanding an application's normal behavior and acting on the context Moogsoft provides, users are able to resolve issues quickly and learn from them to build more resiliency, improving stability and ultimately their customer experience.
Drive incident workflow automation to reduce TOIL
- Automatic event enrichment with Auto Classify (beta): Traditionally, it takes a number of rules and queries to classify alerts into known infrastructure elements and the associated types of failures (e.g. Network | Availability), which is how all enrichment features work for an event management product. Until now. Moogsoft Classification uses ML to analyze your data and automatically determine the infrastructure element and type of failure so you don’t have to. This frees up time to focus on the more important tasks, like increasing reliability, innovating or perhaps getting a little more sleep.
- Extended workflow automation with Auto Close: Auto Close is a configurable setting that extends workflow automation to automatically close any alerts or incidents when they meet the time and criteria the user sets. When the user fixes that nagging issue and the clear event comes through, or the metric falls back into the normal behavior, the alert severity will automatically move to “clear”’ and the status to “resolved.” Once all alerts are resolved and the time has reached the user’s configured time, the alerts and incidents will automatically close. This saves yet one more step so users can get back to an innovative vibe and improve products and services.
- Automated incident context with Tags: With Moogsoft, the context needed to stay well within SLA and SLOs is right in front of you. Incidents will automatically aggregate and deduplicate all the tags from alerts, including any custom tags created along the way. This provides users with the fastest path to remediation through automated incident context so they can lower mean-time-to-resolve and remain within SLA and SLOs.
Making configuration and users' lives even easier
- Navigation updates: The Moogsoft navigation is incredibly slick and easy to use, allowing users to hover, or expand, for as long as they’d like. Each area has been carefully designed to get users where they need to be in a single click while also providing some insights into the flow of data through the product and how things are connected. Easy and smooth navigation saves precious seconds and helps SRE teams understand even more so they don’t have to waste clicks and time trying to find what they need. After all, they want to resolve the issue and get back to doing what matters most.
- Data flow and configuration overview: To get the full value out of observability and AIOps products, users need to understand not only the concepts but how data flows and the product can be configured. That’s why the very first page when a user logs in shows exactly how data flows through the product and all the different items that can be configured. Users are able to get up and running in no time flat so they can spend more time developing and less time figuring out how to operate everything.
- Secure Credential Store: Moogsoft saves time when configuring any integration or when a new monitoring source is discovered by safely and securely storing the credentials that are already entered. Users can reuse these for specific integrations or all integrations. It’s their choice. But the bottom line is Moogsoft saves the trouble of needing to remember and enter credentials every time. This allows monitoring discovery to run and find new sources to monitor so users never miss an event and get caught off-guard. Users are able to focus on improving and automating more instead of constantly configuring and trying to understand what needs to be monitored.
- API Keys & Role Based Access Control: As an administrator, you can see everyone's level of access, including who has access to the APIs via API keys that are directly associated with a user's ID. If a user is suspended or deleted, the API key is automatically deleted as well. Administrators can also elevate user privileges to share admin activities. This saves precious time and ensures that teams are staying within access compliance automatically.
- Personalization and interactions: New personalization capabilities allow users to change the order of columns, which columns are displayed and even the refresh rate of their UI to display new information at a preferred rate. This will allow users to take better advantage of different interactions, like the “Assign to Me” shortcut, and view the most relevant information so they can make faster decisions to fix issues quickly and efficiently. Companies depend on SRE teams day-in and day-out, and every second counts. Personalized UI will help to keep organizations running smoothly.
“In a period of immense growth, our team is working harder than ever to allow development, ITOps and SRE teams to work more efficiently,” said Adam Frank, Moogsoft VP, Product Management and UX Design. “Simplicity within the user experience continues to be at the forefront of everything we release – from new and improved navigation to the ease-of-use...transparent integrations – making it even easier for our customers to take advantage of observability with AIOps and allowing them to develop more and operate less.”
The launch of Moogsoft’s new features follows the announcement of significant company milestones, including 100% QoQ growth, alongside the company now being fully funded.
The Latest
If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...