List of the Top 8 AIOps Tools for New Relic in 2026

Datadog serves as a comprehensive monitoring, security, and analytics platform tailored for developers, IT operations, security professionals, and business stakeholders in the cloud era. Our Software as a Service (SaaS) solution merges infrastructure monitoring, application performance tracking, and log management to deliver a cohesive and immediate view of our clients' entire technology environments. Organizations across various sectors and sizes leverage Datadog to facilitate digital transformation, streamline cloud migration, enhance collaboration among development, operations, and security teams, and expedite application deployment. Additionally, the platform significantly reduces problem resolution times, secures both applications and infrastructure, and provides insights into user behavior to effectively monitor essential business metrics. Ultimately, Datadog empowers businesses to thrive in an increasingly digital landscape.

Edge Delta introduces a groundbreaking approach to observability, being the sole provider that processes data at the moment of creation, allowing DevOps, platform engineers, and SRE teams the flexibility to direct it wherever needed. This innovative method empowers clients to stabilize observability expenses, uncover the most valuable insights, and customize their data as required. A key feature that sets us apart is our distributed architecture, which uniquely enables data processing to occur at the infrastructure level, allowing users to manage their logs and metrics instantaneously at the source. This comprehensive data processing encompasses: * Shaping, enriching, and filtering data * Developing log analytics * Refining metrics libraries for optimal data utility * Identifying anomalies and activating alerts Our distributed strategy is complemented by a column-oriented backend, facilitating the storage and analysis of vast data quantities without compromising on performance or increasing costs. By adopting Edge Delta, clients not only achieve lower observability expenses without losing sight of key metrics but also gain the ability to generate insights and initiate alerts before the data exits their systems. This capability allows organizations to enhance their operational efficiency and responsiveness to issues as they arise.

Sedai adeptly locates resources, assesses traffic trends, and understands metric performance, enabling continuous management of production environments without the need for manual thresholds or human involvement. Its Discovery engine adopts an agentless methodology to automatically recognize all components within your production settings while efficiently prioritizing monitoring data. Furthermore, all your cloud accounts are consolidated onto a single platform, allowing for a comprehensive view of your cloud resources in one centralized location. You can seamlessly integrate your APM tools, and Sedai will discern and highlight the most critical metrics for you. With the use of machine learning, it automatically establishes thresholds, providing insight into all modifications occurring within your environment. Users are empowered to monitor updates and alterations and dictate how the platform manages resources, while Sedai's Decision engine employs machine learning to analyze vast amounts of data, ultimately streamlining complexities and enhancing operational clarity. This innovative approach not only improves resource management but also fosters a more efficient response to changes in production environments.

All sources of data, such as topology, monitoring, change management, and observation tools, are brought together for analysis. Through BigPanda's Open Box Machine Learning, this information is synthesized into a compact set of actionable insights. This capability enables the real-time detection of incidents before they escalate into significant outages. The swift identification of root causes can significantly enhance the speed of resolving both incidents and outages. BigPanda is adept at detecting both changes that lead to root causes and those related to the infrastructure itself. By facilitating the rapid resolution of outages and incidents, BigPanda streamlines the incident response procedure, which encompasses ticket generation, notifications, incident triage, and the establishment of war rooms. The integration of BigPanda with enterprise runbook automation solutions further accelerates the remediation process. Applications and cloud services are essential for every organization, and outages can impact everyone involved. With $190 million in funding and a valuation of $1.2 billion, BigPanda solidifies its leadership position within the AIOps market, showcasing its significant impact on operational efficiency. This combination of innovative technology and strategic funding positions BigPanda as a critical player in transforming incident management.

cPacket delivers performance insights for network-aware applications in distributed hybrid-IT settings while ensuring security. With our unified analytics platform, we leverage machine learning to enhance AIOps capabilities. This empowers you to oversee, safeguard, and prepare your network for future demands, facilitating your digital transformation journey. Our network visibility solution is both comprehensive and user-friendly, providing everything necessary to efficiently manage your hybrid network spanning branches, data centers, and cloud environments. Furthermore, cPacket's tools are designed to adapt to evolving technology landscapes, ensuring you remain competitive in an ever-changing digital world.

Selector's software-as-a-service utilizes advanced machine learning and natural language processing to provide self-service analytics that enable quick access to actionable insights, leading to a remarkable reduction in mean time to resolution (MTTR) by up to 90%. The groundbreaking Selector Analytics platform harnesses artificial intelligence alongside machine learning to execute three vital functions, providing network, cloud, and application operators with essential insights. It consolidates data from a vast array of sources, such as configurations, alerts, metrics, events, and logs, which can include information from router logs, device performance statistics, or the settings of devices across the network. After collecting this data, the system normalizes, filters, clusters, and correlates it through established workflows to produce actionable insights. Following this, Selector Analytics employs machine learning-based data analysis to scrutinize metrics and events, facilitating the automated identification of anomalies. This process allows operators to quickly pinpoint and resolve issues, thereby improving overall operational efficiency. By adopting this thorough methodology, organizations not only enhance their data processing capabilities but also gain the ability to make informed decisions driven by real-time analytics. Ultimately, this empowers teams to respond to challenges proactively and adapt swiftly to the dynamic landscape of their operations.

Synergy functions as a command center powered by AI, specifically tailored for enterprise IT operations, bringing together disparate elements of monitoring, ticketing, logging, and documentation into a unified platform. By seamlessly integrating information from tools like Splunk, New Relic, Jira, ServiceNow, and Confluence, it converts chaotic alert influxes into structured, prioritized insights that are easier to manage. Its Smart Incident Workflows not only streamline everyday tasks but also provide actionable recommendations, pinpoint ownership gaps, and accelerate resolution times, significantly lowering the average duration for detection and repair. Moreover, Synergy’s proactive monitoring features anticipate risks before standard alerts can trigger, recognize unexpected error spikes and overlooked escalations, identify emerging patterns, and facilitate investigative inquiries through natural language processing. In addition, its comprehensive root cause analysis tracks incidents meticulously across various timelines, logs, metrics, tickets, and post-mortem reviews, linking related events for immediate context and generating concise summaries to enhance comprehension. As a result, Synergy not only boosts the efficiency and effectiveness of IT teams but also empowers them to stay ahead of potential challenges, ultimately leading to a more resilient IT infrastructure.

HCL IntelliOps Event Management is a vital component of the Intelligent Full Stack Observability within the HCLSoftware Intelligent Operation ecosystem. This advanced AI-driven IT Event Management solution equips organizations with state-of-the-art features, including real-time topology-based alert correlation, machine learning-driven alert correlation, and effective noise reduction. Additionally, the product smoothly integrates with existing monitoring tools and IT service management software, facilitating prompt and effective issue resolution while enhancing overall operational efficiency.