Moogsoft AIOps

Basic Information

Moogsoft AIOps is an Artificial Intelligence for IT Operations (AIOps) platform designed for real-time enterprise IT Operations monitoring, analysis, and alerting. It leverages machine learning to capture events from across enterprise systems, detect anomalies, and correlate events to identify root causes of incidents. The platform aims to reduce operational noise, proactively detect service-impacting issues, streamline collaboration, and codify knowledge.

• Model: Moogsoft AIOps (also referred to as Moogsoft Enterprise or APEX AIOps Incident Management in newer versions)
• Version: The product is continuously updated and does not have specific version numbers for its Incident Management component, with relevant updates automatically deployed. For on-premise deployments, recent major versions include Moogsoft Onprem v9.2 (released May 15, 2025) and v9.1 (released April 16, 2024).
• Release Date: Moogsoft AIOps 7.0 was released in October 2018. Moogsoft Enterprise v8.0 was released May 14, 2020. Moogsoft Onprem v9.2 was released May 15, 2025.
• Minimum Requirements: Specific minimum requirements vary by deployment size (small, medium, large). For a small environment (1000-5000 Managed Devices, less than 20 users, up to 5 integrations, less than 20 events/second), typical requirements include 8 Cores, 32GB RAM, and 1 TB storage.
• Supported Operating Systems:
  • For APEX AIOps Incident Management: Linux, Apple Macintosh, and Microsoft Windows operating systems (x86_64 architecture, kernel = 3.2, libc = 2.18, libstdc++ = 3.4.21).
  • For Moogsoft Enterprise v8.x: Red Hat Enterprise Linux (RHEL) v7 and CentOS Linux v7.
  • For Moogsoft Onprem v9.x: RHEL8 (minimum v8.10). RHEL9 is not supported.
• Latest Stable Version: Moogsoft Onprem v9.2 (released May 15, 2025) is a currently supported General Availability (GA) release.
• End of Support Date:
  • Moogsoft AIOps v7.2 and prior versions: April 2021.
  • Moogsoft AIOps v7.3 and prior versions: October 4, 2021.
  • Moogsoft Enterprise v8.0: End of support has passed (released May 14, 2020).
  • Moogsoft Enterprise v8.1: End of support has passed (released August 11, 2021).
  • Moogsoft Enterprise v8.2: End of support has passed (released March 16, 2022).
  • Moogsoft Enterprise v9.0: End of support has passed (released November 16, 2022).
• End of Life Date: Not explicitly stated for the entire product, but specific versions and underlying OS (e.g., CentOS Linux 8) have reached EOL.
• Auto-update Expiration Date: Incident Management is continuously updated with relevant updates automatically deployed.
• License Type: Not explicitly detailed in public search results, but pricing models are mentioned, suggesting commercial licensing.
• Deployment Model: Available as both On-Premise and SaaS (cloud instances, workloads, containers, on-premises systems).

Technical Requirements

Moogsoft AIOps requires robust infrastructure to handle data ingestion and analysis. Requirements scale with the size of the environment and event volume.

• RAM:
  • Small environment (up to 5,000 Managed Devices,
  • Medium environment (5,000-20,000 Managed Devices, 20-100 events/sec): 64GB.
  • Large environment (20,000 Managed Devices, 100 events/sec): 128GB.
• Processor:
  • Small environment: 8 Cores.
  • Medium environment: 16 Cores.
  • Large environment: 24+ Cores.
• Storage: 1 TB Local or SAN storage is recommended for all environment sizes, with retention policies impacting actual needs. Incident Management data is stored in Elasticsearch in quarterly indexes.
• Display: Not specified, but a modern web browser is required for the UI.
• Ports: Requires 2 x 1GB Ethernet for network connectivity.
• Operating System:
  • Linux (x86_64 architecture, kernel = 3.2, libc = 2.18, libstdc++ = 3.4.21).
  • Red Hat Enterprise Linux (RHEL) v7 for Moogsoft Enterprise v8.x, and RHEL8 (minimum v8.10) for Moogsoft Onprem v9.x.
  • CentOS Linux v7 for Moogsoft Enterprise v8.x.

Analysis of Technical Requirements

The technical requirements for Moogsoft AIOps are substantial, reflecting its role as an enterprise-grade AIOps platform that processes and analyzes large volumes of IT operational data. The scaling of RAM and processor cores directly correlates with the number of managed devices and event rates, indicating a resource-intensive application designed for complex IT environments. The reliance on Linux distributions like RHEL and CentOS for on-premise deployments suggests a focus on stability, security, and performance typical of enterprise server environments. The storage requirement of 1 TB, regardless of environment size, implies a baseline for data retention and processing, with actual needs likely increasing based on data volume and retention policies. Virtualization is supported, but with considerations for latency and resource contention. The platform is built to handle significant data ingestion and real-time processing, necessitating robust underlying hardware.

Support & Compatibility

Moogsoft AIOps offers comprehensive support and compatibility with various IT tools and environments, emphasizing integration and continuous updates for its cloud-based offerings.

• Latest Version: Moogsoft Onprem v9.2 (released May 15, 2025) is the most recent supported GA release for on-premise deployments. The cloud-based Incident Management component is continuously updated.
• OS Support:
  • Linux (x86_64 architecture, kernel = 3.2, libc = 2.18, libstdc++ = 3.4.21).
  • Red Hat Enterprise Linux (RHEL) v7 (for v8.x) and RHEL8 (v8.10 minimum for v9.x).
  • CentOS Linux v7 (for v8.x).
  • Apple Macintosh and Microsoft Windows for data ingestion and integration with apps.
  • Browsers: Latest versions of Chrome, Firefox, Safari, and Edge are supported for the UI.
• End of Support Date: Support for older versions of Moogsoft AIOps (e.g., v7.2 and prior, v7.3 and prior, and various v8.x and v9.0 releases) has ended. Customers are advised to upgrade to current releases.
• Localization: Not explicitly detailed in public search results.
• Available Drivers: Moogsoft integrates with various monitoring and ticketing systems through connectors and APIs. It also offers a "Create Your Own Integration" feature for custom API endpoints. Collectors are lightweight agents for Linux, MacOS, and Windows servers.

Analysis of Overall Support & Compatibility Status

Moogsoft AIOps demonstrates strong compatibility with enterprise-standard operating systems and modern web browsers. The continuous update model for its cloud-based Incident Management ensures ongoing feature enhancements and bug fixes without manual upgrades. For on-premise versions, a clear release and end-of-support cycle is maintained, urging users to plan upgrades to remain supported. The platform's extensive integration capabilities, including an open API and "Create Your Own Integration" feature, highlight its flexibility in connecting with diverse IT tools and data sources. While specific localization details are not prominent, the broad OS and browser support suggests a global usability. The availability of collectors for various OSes further enhances its reach for data collection.

Security Status

Moogsoft integrates security throughout its Software Development Lifecycle (SDLC) and adheres to industry best practices for data protection and access control.

• Security Features:
  • Integration of security into SDLC, including architecture, design, and regular patching.
  • Least Privilege and Zero Trust principles applied internally.
  • Annual security awareness training for personnel and Security SDLC training for developers.
  • Data at Rest: Encrypted using AWS KMS with AES-256 encryption.
  • Data in Transit: Protected with TLS 1.2 and above; cipher suites are regularly monitored and updated.
  • Secure Credential Store: Credentials for external systems are saved as encrypted text, protected by a key and salt, and stored in an encrypted MongoDB database.
  • Data compression (gzip) and HTTPS for collector data transmission.
• Known Vulnerabilities: Moogsoft actively manages vulnerabilities, including responding to critical issues like CVE-2021-44228 log4j RCE 0-Day. It continuously scans resources and partners with engineering to track, prioritize, and remediate vulnerabilities.
• Blacklist Status: No information found regarding a blacklist status.
• Certifications: Not explicitly detailed in public search results, but adherence to strict security standards and compliance regulations is stated.
• Encryption Support: AES-256 for data at rest and TLS 1.2+ for data in transit. Collector data is compressed and encrypted via HTTPS.
• Authentication Methods:
  • Secure user sign-up, sign-in, and access control for Incident Management integrations and collectors.
  • All authentications are SSL-encrypted.
  • SSO authentication supported using the OIDC protocol.
  • API keys are used for Incident Management, but customers cannot bring their own encryption keys.
• General Recommendations: Moogsoft recommends applying various security measures, including SSL certificates, external authentication, single sign-on with LDAP and SAML, and encrypting database communications.

Analysis on the Overall Security Rating

Moogsoft AIOps demonstrates a strong commitment to security, integrating it into every stage of its development and operations. The use of AWS KMS with AES-256 for data at rest and TLS 1.2+ for data in transit provides robust encryption. The secure credential store, with encrypted storage in MongoDB, further protects sensitive access information. Continuous vulnerability scanning, annual penetration testing by third parties, and a bug bounty program indicate a proactive approach to identifying and mitigating security risks. Support for SSO via OIDC and SSL-encrypted authentications enhance user access security. While specific certifications are not listed, the stated adherence to strict security standards and compliance regulations, coupled with internal security practices like Least Privilege and Zero Trust, suggests a high overall security posture.

Performance & Benchmarks

Moogsoft AIOps focuses on optimizing IT operations through AI-driven insights, leading to significant improvements in incident management and operational efficiency.

• Benchmark Scores: Moogsoft is ranked as a Market Leader in the 2022 Vendor Selection Matrix™ for AIOps Platforms, achieving #1 in Recommendation Index, Customer Satisfaction, and Price Versus Value.
• Real-world Performance Metrics:
  • Up to 90% alert reduction.
  • 62% reduction in help desk tickets.
  • 10x increase in operator productivity.
  • Reduces time to detect a problem by up to 60%.
  • Cuts nearly 90% of storage and communication costs per bit of information by storing only anomalous and contextual data.
  • Reduces operational actions by up to 99% of events.
  • Improved Mean Time To Resolution (MTTR) and Mean Time To Detect (MTTD).
• Power Consumption: Moogsoft AIOps itself, as a software platform, does not have direct power consumption metrics. Its operation contributes to the overall power consumption of the underlying IT infrastructure (servers, data centers). AIOps can help optimize data center and IT infrastructure operations, potentially minimizing energy consumption by dynamically allocating resources and identifying underutilized equipment.
• Carbon Footprint: Similar to power consumption, Moogsoft AIOps does not have a direct carbon footprint. However, by optimizing IT operations, it can contribute to reducing the carbon footprint associated with data centers and IT infrastructure. AI algorithms, in general, contribute to carbon emissions through training and daily operations, but AIOps aims to make these operations more efficient.
• Comparison with Similar Assets: Moogsoft AIOps is compared to other AIOps platforms and incident management solutions such as Dynatrace, BigPanda, New Relic, ServiceNow IT Operations Management, PagerDuty, and Splunk Enterprise.
  • Moogsoft is noted for its domain-agnostic approach, accommodating various datasets to alleviate alert fatigue.
  • It integrates with diverse IT tools and provides a single system of engagement for the entire incident lifecycle.
  • Competitors like Dynatrace are often highlighted for their full-stack observability and causal AI.
  • Moogsoft offers both on-premise and SaaS deployment, providing flexibility.

Analysis of the Overall Performance Status

Moogsoft AIOps demonstrates strong performance in its core function: improving IT operational efficiency. Real-world metrics consistently show significant reductions in alert volume, help desk tickets, and incident detection/resolution times. These improvements directly translate to increased operator productivity and reduced operational costs. The platform's ability to intelligently filter and correlate events, coupled with its focus on storing only anomalous data, also leads to substantial savings in storage and communication overhead. While the software itself does not consume power or emit carbon, its optimization capabilities can indirectly contribute to greener IT operations by enhancing resource utilization and reducing waste in data centers. Its market leadership ranking and high customer satisfaction scores further validate its performance and value in the AIOps landscape.

User Reviews & Feedback

User reviews and feedback highlight Moogsoft AIOps' effectiveness in reducing operational noise and improving incident management, though some aspects of integration and older versions receive specific mentions.

• Strengths:
  • **Alert Reduction and Correlation:** Users frequently praise Moogsoft for its ability to significantly reduce alert noise and correlate disparate alerts into meaningful "Situations," preventing alert fatigue.
  • **Faster Incident Detection and Resolution:** The platform's AI-powered anomaly detection and root cause analysis capabilities lead to quicker identification and resolution of issues, often before they impact end-users.
  • **Operational Efficiency:** Customers report increased operator productivity and a reduction in help desk tickets.
  • **Integration Capabilities:** Moogsoft integrates seamlessly with various monitoring and ticketing systems, centralizing data for comprehensive observability. The "Create Your Own Integration" feature is noted for its flexibility.
  • **Collaboration Tools:** Facilitates communication among teams with shared views and integrated ChatOps.
  • **Deployment Flexibility:** Offers both on-premise and SaaS options.
• Weaknesses:
  • **Third-party API Work:** Older versions or specific third-party APIs may require significant effort for integration.
  • **Support for Older Versions:** Users of older versions need to apply new patches and bug fixes, and support for these versions eventually ends, necessitating upgrades.
  • **Learning Curve:** As with many advanced AIOps platforms, there can be a learning curve to fully leverage its capabilities.
• Recommended Use Cases:
  • **Event Management Layer:** Ideal for organizations seeking an event management layer to process and correlate events.
  • **Alert Correlation, Suppression, and Enhancement:** Highly recommended for correlating, suppressing, and enhancing events before creating tickets in ITSM tools.
  • **Proactive Incident Management:** Suitable for teams looking to identify and resolve issues proactively, preventing outages and maintaining uptime.
  • **Reducing Alert Fatigue:** Excellent for environments with high alert volumes where noise reduction is critical.
  • **Improving IT Operations Efficiency:** Beneficial for IT operations, DevOps, and Site Reliability Engineering (SRE) teams aiming to streamline workflows and increase productivity.

Summary

Moogsoft AIOps is a leading enterprise-grade AIOps platform that leverages artificial intelligence and machine learning to transform IT operations. Its core strength lies in its ability to ingest vast amounts of operational data, intelligently reduce alert noise, and correlate disparate events into actionable "Situations." This leads to significant improvements in Mean Time To Detect (MTTD) and Mean Time To Resolution (MTTR), ultimately enhancing service availability and operational efficiency.

The platform offers flexible deployment options, including on-premise and SaaS, and boasts extensive compatibility with various operating systems and IT tools through its robust integration capabilities, including an open API and a "Create Your Own Integration" feature. Security is a paramount concern, with integrated practices throughout the SDLC, strong encryption for data at rest and in transit, and comprehensive authentication methods like SSO.

While the technical requirements are substantial, they are commensurate with the platform's enterprise focus and its capacity to handle high volumes of data and events. User feedback consistently highlights its effectiveness in reducing alert fatigue, accelerating incident resolution, and boosting operator productivity. However, users should be aware of the need to keep on-premise versions updated to maintain support and address potential complexities with older third-party API integrations.

Overall, Moogsoft AIOps stands out as a powerful solution for organizations seeking to modernize their IT operations, achieve continuous service assurance, and drive efficiency through intelligent automation. Its proven ability to deliver tangible results in alert reduction and incident management makes it a valuable asset for complex IT environments.

The information provided is based on publicly available data and may vary depending on specific device configurations. For up-to-date information, please consult official manufacturer resources.