Alternatives to Metoro
Compare Metoro alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Metoro in 2026. Compare features, ratings, user reviews, pricing, and more from Metoro competitors and alternatives in order to make an informed decision for your business.
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Atera
Atera
Atera, the first and only Agentic AI platform for IT management, offers IT teams and MSPs a digital workforce of AI agents to preemptively and autonomously manage their entire IT operations. Its all-in-one platform combines RMM, helpdesk, ticketing, and automation to reduce downtime, improve SLAs, and free IT teams to focus on strategic work over mundane tasks. At the core of Atera’s platform are two powerful AI agents built to enhance every layer of IT operations. AI Copilot helps technicians troubleshoot devices, run diagnostics, and generate actionable solutions in real time. IT Autopilot delivers 24/7/365, autonomously resolving Tier-1 issues and reducing IT workload by up to 40%. It acts like a personal AI technician for every employee, freeing your team to focus on what really matters. Trusted by 13K+ customers in over 120 countries, Atera scales with your needs while maintaining the highest security and compliance standards. -
2
New Relic
New Relic
There are an estimated 25 million engineers in the world across dozens of distinct functions. As every company becomes a software company, engineers are using New Relic to gather real-time insights and trending data about the performance of their software so they can be more resilient and deliver exceptional customer experiences. Only New Relic provides an all-in-one platform that is built and sold as a unified experience. With New Relic, customers get access to a secure telemetry cloud for all metrics, events, logs, and traces; powerful full-stack analysis tools; and simple, transparent usage-based pricing with only 2 key metrics. New Relic has also curated one of the industry’s largest ecosystems of open source integrations, making it easy for every engineer to get started with observability and use New Relic alongside their other favorite applications. -
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NeuBird
NeuBird
NeuBird AI is a Production Ops Platform for ITOps, SRE, and DevOps teams that brings agentic AI to production cloud environments. It continuously analyzes telemetry across Amazon CloudWatch, Azure Monitor, logs, metrics, traces, and changes to help teams prevent incidents, automate root cause analysis, and optimize cloud operations in real time. Instead of relying on dashboards and manual investigation, NeuBird AI automatically detects degradation, reduces alert noise, and identifies root cause in minutes. It enables teams to move from reactive firefighting to proactive operations. Built for production cloud and Kubernetes environments, NeuBird integrates with AWS, Azure and OpenShift services and existing observability and incident management tools with no rip and replace required. -
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Robin by Atera
Atera
Robin by Atera is an autonomous IT support agent designed to automatically diagnose and resolve technical issues across devices and cloud environments. The system acts as an AI-powered IT assistant that manages support requests from start to finish without human intervention. Robin receives requests from platforms such as Slack, Microsoft Teams, email, and IT service management tools, verifies the user’s identity, and gathers technical context to understand the problem. It can then perform approved actions on devices, networks, or cloud systems to resolve the issue. By automating troubleshooting and IT support workflows, Robin helps organizations reduce downtime and improve support efficiency. -
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Edge Delta
Edge Delta
Edge Delta is a new way to do observability that helps developers and operations teams monitor datasets and create telemetry pipelines. We process your log data as it's created and give you the freedom to route it anywhere. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.Starting Price: $0.20 per GB -
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Datadog
Datadog
Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.Starting Price: $15.00/host/month -
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Splunk AppDynamics
Cisco
Splunk AppDynamics delivers full-stack observability for hybrid and on-prem environments, linking technical performance directly to business outcomes. It enables teams to detect anomalies, diagnose root causes, and prioritize issues based on their real business impact. With capabilities ranging from network performance correlation to SAP system optimization, the platform offers deep insights across applications, APIs, and infrastructure. Its runtime security features safeguard applications by detecting vulnerabilities, blocking attacks, and highlighting potential risks. AppDynamics also enhances digital experiences with web, mobile, and synthetic monitoring to understand user journeys. By unifying performance, security, and business analytics, Splunk AppDynamics helps enterprises reduce costs, prevent outages, and deliver seamless customer experiences.Starting Price: $6 per month -
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PagerDuty
PagerDuty
PagerDuty, Inc. (NYSE:PD) is a leader in digital operations management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time. Teams use PagerDuty to identify issues and opportunities in real time and bring together the right people to fix problems faster and prevent them in the future. PagerDuty's ecosystem of over 350+ integrations, including Slack, Zoom, ServiceNow, AWS, Microsoft Teams, Salesforce, and more, enable teams to centralize their technology stack, get a holistic view of their operations, and optimize processes within their toolsets. -
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BigPanda
BigPanda
Aggregate data from all observability, monitoring, change and topology tools. BigPanda’s Open Box Machine Learning will correlate the data into a small number of actionable insights so incidents are detected in real-time, as they form, before they escalate into outages. Accelerate incident and outage resolution by automatically identifying the probable root cause of problems. BigPanda identifies both root cause changes and infrastructure-related root causes. Resolve incidents and outages faster. BigPanda automates and streamlines the incident response lifecycle across incident triage, ticketing, notifications, and war room creation. Accelerate remediation by integrating BigPanda with enterprise runbook automation tools. Applications and cloud services are the lifeblood of every company. When there’s an outage, everyone is impacted. BigPanda cements AIOps market leadership with $190M in funding, $1.2B valuation. -
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JFrog Artifactory
JFrog
The Industry Standard Universal Binary Repository Manager. Supports all major package types (over 27 and growing) such as Maven, npm, Python, NuGet, Gradle, Go, and Helm including Kubernetes and Docker as well as integration with leading CI servers and DevOps tools that you already use. Additional functionalities include: - High Availability that scales to infinity with active/active clustering of your DevOps environment and scales as business grows - On-Prem, Cloud, Hybrid, or Multi-Cloud Solution - De Facto Kubernetes Registry managing application packages, operating system’s component dependencies, open source libraries, Docker containers, and Helm charts with full visibility of all dependencies. Compatible with a growing list of Kubernetes cluster providers. -
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OpsWorker
OpsWorker AI
Resolve production incidents and development issues with AI that understands your code, infrastructure, and telemetry — reducing MTTR by up to 80% and boosting engineering productivity by 50%. OpsWorker helps Software Developers, SREs, and DevOps Engineers reduce MTTR, resolve complex development issues, and manage high-incident environments. Through intelligent incident correlation, code-aware troubleshooting, and deep integration into your technical ecosystem, OpsWorker delivers actionable insights and autonomous remediation — ensuring resilient, high-performance operations across Kubernetes and Cloud workloads. Built as an AI SRE platform for modern AIOps, OpsWorker leverages AI Observability to analyze incidents across distributed systems, correlate signals from metrics, logs, traces, and deployments, and surface the most probable root cause within minutes. Designed with an EU-first approach, OpsWorker prioritizes data sovereignty and enterprise-grade security while enabling -
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Deductive AI
Deductive AI
Deductive AI is a cutting-edge platform that redefines how organizations handle complex system failures. By connecting your entire codebase with telemetry data, encompassing metrics, events, logs, and traces, Deductive AI empowers teams to pinpoint the root cause of issues with unprecedented precision and speed. It streamlines the process of debugging, significantly reducing downtime and improving overall system reliability. Deductive AI integrates with your codebase and observability tools, creating a unified knowledge graph powered by a code-aware reasoning engine to diagnose root causes like an expert engineer. It builds a knowledge graph with millions of nodes in seconds, uncovering deep relationships between codebase and telemetry data. It orchestrates hundreds of specialized AI agents to search, discover, and analyze breadcrumbs of root cause spread across all connected sources. -
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Hyground
Hyground
Hyground is an AI-powered DevOps and SRE co-pilot — not a chatbot wrapper, but a full-stack operational intelligence system that runs inside the customer's Kubernetes cluster with no data egress. The agent connects to 21+ enterprise systems and investigates incidents across logs, metrics, traces, and K8s events. Engineers ask questions in plain language and get answers grounded in their own data — no new query languages to learn. AutoRCA turns an alert webhook into an autonomous root-cause investigation, then posts findings back to Slack or Teams. Investigation starts the instant an alert fires, not when an engineer wakes up. Customers report up to 85% MTTR reduction. Built on Google's Agent Development Kit, Hyground uses a multi-agent architecture and learns from your infrastructure over time. Resolved incidents extend the knowledge base, so runbooks stay current. -
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Sherlocks.ai
Sherlocks.ai
Sherlocks.ai is an autonomous AI SRE agent that works 24x7x365 to prevent incidents, automate root cause analysis, and accelerate recovery without adding headcount. Unlike traditional monitoring tools, Sherlocks acts as an intelligent teammate inside your Slack channels, instantly responding to alerts, correlating logs, metrics, and traces across your entire stack, and delivering context-aware RCA in seconds , not hours. Teams using Sherlocks see 3x faster incident resolution, 50% reduction in toil, and 20-30% cloud cost savings through intelligent predictive scaling. No agent installation required as it connects directly to your existing observability stack (OpenTelemetry, Prometheus, Datadog) via secure API. SOC2 Type 2 certified with self-hosted deployment available for full data control.Starting Price: $1500/month -
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Adps AI
Adps AI
Adps AI is an autonomous AI-SRE platform that transforms how companies run, troubleshoot, and secure their cloud infrastructure. Instead of relying on slow, manual, human-driven incident workflows, Adps AI continuously monitors signals across logs, metrics, traces, deployments, Kubernetes, CI/CD pipelines, and cloud services—instantly detecting anomalies, diagnosing root cause, and generating precise recovery actions in seconds. By reducing MTTR by up to 99% and delivering 99.99%+ reliability, Adps AI eliminates on-call fatigue, prevents outages, and ensures uninterrupted operations across any cloud environment. -
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Traversal
Traversal
Traversal is an ambient AI Site Reliability Engineering (SRE) agent that operates 24/7 to autonomously troubleshoot, fix, and even prevent production incidents. It parses logs, metrics, traces, and your codebase to narrow down root causes of errors or latency, surfacing the blast radius, key bottleneck services, and candidate root causes with supporting evidence within minutes. Powered by advances in causal machine learning, large language model reasoning, and AI agents, Traversal catches issues before alerts fire and resolves them automatically. Designed for critical infrastructure and complex organizations, it supports heterogeneous data, bring-your-own models, and optional on-premises deployment. Traversal connects easily to existing systems with read-only access, no agents or sidecars, and no writes to production, ensuring privacy and control over data. By integrating seamlessly into your observability stack, Traversal reduces time to resolution, minimizes downtime, and more. -
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Ciroos
Ciroos
Ciroos is an AI-driven Site Reliability Engineering (SRE) teammate platform that transforms how SRE and operations teams handle incidents by using multi-agent AI to reduce toil, detect anomalies early, and accelerate investigations and remediation across complex, cross-domain environments. The Ciroos AI SRE Teammate integrates with existing telemetry, observability platforms, ticketing systems, collaboration tools, and cloud providers, and works in both automatic and human-prompted modes to proactively investigate alerts, correlate data across disparate systems, diagnose root causes, and provide actionable recommendations often before escalation is needed. Its AI agents dynamically build investigation plans, analyze evidence at scale with human-expert-like reasoning, and generate post-incident reports for continuous improvement. Ciroos’s cross-domain correlation capability enables it to identify issues that span infrastructure, networking, applications, and security domains. -
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Azure SRE Agent
Microsoft
Azure SRE Agent is an AI-powered reliability assistant designed to automate site reliability engineering tasks and help teams maintain the health and performance of cloud environments. It continuously monitors Azure resources, detects anomalies, and uses AI to recommend or execute mitigations that reduce downtime and operational toil. It integrates with Azure services and external systems, enabling end-to-end automation of operational workflows while improving system uptime and consistency. Through a natural-language chat interface, engineers can investigate incidents, receive troubleshooting guidance, and approve automated remediation actions before they are applied. The agent analyzes logs, metrics, and telemetry to accelerate root cause analysis and can execute predefined fixes such as scaling resources or restarting services. -
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Cleric
Cleric
Cleric is an autonomous AI Site Reliability Engineer (SRE) designed to manage, optimize, and heal software infrastructure without human intervention. It operates as an AI teammate, capable of investigating and diagnosing production issues by integrating with existing tools like Kubernetes, Datadog, Prometheus, and Slack. Cleric autonomously investigates alerts, handling routine work so engineers can focus on development. It checks systems concurrently, surfacing findings in minutes instead of the hours it takes to investigate manually. Cleric reasons through problems it’s never seen before by forming hypotheses, running real queries with their tools, and only sharing findings when confident. It levels up with every investigation, learning from real outcomes to real incidents. By Day 30, Cleric can autonomously handle 20–30% of the time spent on-call, allowing your team to focus on fixes rather than repetitive alert triage. -
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Resolve AI
Resolve.ai
Operates autonomously to handle common alerts and actions, reducing escalations and preventing burnout. Dynamically adjusts thresholds and dashboards to proactively prevent incidents and adjusts runbooks with every new incident. Saves up to 20 hours per on-call engineer per week so you can get back to the building. Handles all alerts, performs root cause analysis, resolves incidents, and makes on-call stress-free. Automates root cause analysis and incident response, cutting Mean Time to Resolution (MTTR) by up to 80%. With detailed incident summaries and hypotheses available, before you log in, you'll experience faster response and significantly increased uptime. Get started in minutes with production-ready AI, which is secure and knows how to use all the production tools like an experienced software engineer. It automatically maps your production system, understands code, and captures changes without any training. -
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Cilium
Cilium
Cilium is open-source software for providing, securing and observing network connectivity between container workloads, cloud native, and fueled by the revolutionary Kernel technology eBPF. Kubernetes doesn't come with an implementation of Load Balancing. This is usually left as an exercise for your cloud provider or in private cloud environments an exercise for your networking team. Cilium can attract this traffic with BGP and accelerate leveraging XDP and eBPF. Together these technologies provide a very robust and secure implementation of load balancing. Cilium and eBPF operate at the kernel layer. With this level of context, we can make intelligent decisions about how to connect different workloads whether on the same node or between clusters. With eBPF and XDP Cilium enables significant improvements in latency and performance and eliminates the need for Kube-proxy entirely. -
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KubeArmor
AccuKnox
KubeArmor is a cloud-native runtime security enforcement engine designed for Kubernetes workloads, containers, and virtual machines. It leverages eBPF and Linux Security Modules (LSMs) like AppArmor and SELinux to preemptively harden workloads and prevent attacks without modifying pods or containers. KubeArmor enforces real-time policy-based controls on process behavior, file access, networking, and resource usage. It simplifies complex security settings by providing Kubernetes-native policy management and detailed policy violation logging. Installation is straightforward via Helm charts, and it integrates seamlessly with multiple cloud marketplaces. KubeArmor’s proactive inline mitigation approach improves security beyond traditional post-attack responses.Starting Price: Free -
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Dash0
Dash0
Dash0 is an OpenTelemetry-native observability platform that unifies metrics, logs, traces, and resources into one intuitive interface, enabling fast and context-rich monitoring without vendor lock-in. It centralizes Prometheus and OpenTelemetry metrics, supports powerful filtering of high-cardinality attributes, and provides heatmap drilldowns and detailed trace views to pinpoint errors and bottlenecks in real time. Users benefit from fully customizable dashboards built on Perses, with support for code-based configuration and Grafana import, plus seamless integration with predefined alerts, checks, and PromQL queries. Dash0's AI-enhanced tools, such as Log AI for automated severity inference and pattern extraction, enrich telemetry data without requiring users to even notice that AI is working behind the scenes. These AI capabilities power features like log classification, grouping, inferred severity tagging, and streamlined triage workflows through the SIFT framework.Starting Price: $0.20 per month -
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BMC Helix Operations Management
BMC Helix
BMC Helix Operations Management is a fully integrated, cloud-native, observability and AIOps solution designed to tackle challenging hybrid-cloud environments. Take a service-centric approach to observability data for truly effective AIOps. Combine 3rd party observability data such as metrics, events, logs, incidents, changes and topologies into a central IT data store. See service health and enable best-in-class root cause isolation via auto-generated dynamic business service models. Improve signal-to-noise ratio with AI event suppression, de-duplication, and correlation to create actionable situations. Gain immediate root cause isolation through AI probability assignments to causal nodes using data and service models. Prevent issues before they occur with Business Service Health monitoring and AI outage prediction. Troubleshoot rapidly with log enrichment and analytics. Easily request and execute automations from BMC or 3rd party tools. -
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HPE InfoSight
Hewlett Packard Enterprise
You won’t spend any more days off searching for a root cause deep in your hybrid environment. Every second, HPE InfoSight collects and analyzes data from more than 100,000 systems worldwide, and uses that intelligence to make every system smarter and more self-sufficient. HPE InfoSight predicts and automatically resolves 86% of customer issues. Achieving always-on, always-fast apps requires greater visibility, intelligent performance recommendations, and more predictive autonomous operations from infrastructure. HPE InfoSight App Insights is your answer. Go beyond traditional performance monitoring to quickly locate, diagnose, and even predict problems across apps and workloads with the power of AI. HPE InfoSight leverages the power of AI to make autonomous infrastructure a reality. -
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Rootly
Rootly
Rootly is an AI-native incident management platform built to help modern teams prevent and resolve incidents faster. It streamlines on-call scheduling, incident response, retrospectives, and status updates through intelligent automation and deep integrations with Slack, Teams, Jira, and Zoom. Powered by Rootly AI, the system automates root cause analysis, provides suggested fixes, and compiles incident data into clear summaries for faster recovery. Teams can manage incidents directly within their communication tools, reducing context switching and human error. With automated retrospectives and actionable insights, Rootly enables continuous improvement and reliability across engineering organizations. Trusted by global brands like Figma, Canva, Nvidia, and Webflow, it helps companies maintain uptime, minimize disruption, and create a culture of proactive resilience. -
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Protect business service-level agreements with dashboards to monitor service health, troubleshoot alerts and perform root cause analysis. Reduce MTTR with real-time event correlation, automated incident prioritization and integrations with ITSM and orchestration tools. Use advanced analytics like anomaly detection, adaptive thresholding and predictive health scores to monitor KPI data and prevent issues 30 minutes in advance. Monitor performance the way the business operates with pre-built dashboards that track service health and visually correlate services to underlying infrastructure. Use side-by-side displays of multiple services and correlate metrics over time to identify root causes. Predict future incidents using machine learning algorithms and historical service health scores. Use adaptive thresholding and anomaly detection to automatically update rules based on observed and historical behavior, so your alerts never become stale.
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Tetragon
Tetragon
Tetragon is a flexible Kubernetes-aware security observability and runtime enforcement tool that applies policy and filtering directly with eBPF, allowing for reduced observation overhead, tracking of any process, and real-time enforcement of policies. eBPF enables deep observability with low-performance overhead, mitigating risks without the latency introduced by user-space processing. Tetragon extends Cilium's design by recognizing workload identities like namespace and pod metadata, surpassing traditional observability. It offers pre-defined policy libraries for rapid deployment and operational insight, reducing setup time and complexity at scale. Tetragon blocks malicious activities at the kernel level, closing the window for exploitation without succumbing to TOCTOU attack vectors. Synchronous monitoring, filtering, and enforcement are performed entirely within the kernel using eBPF.Starting Price: Free -
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TraceRoot.AI
TraceRoot.AI
TraceRoot.AI is an open source, AI-native observability and debugging platform designed to help engineering teams resolve production issues faster. It consolidates telemetry into a single correlated execution tree that provides causal context for failures. AI agents operate over this structured view to summarize issues, pinpoint likely root causes, and even suggest actionable fixes or draft GitHub issues and pull requests. It offers interactive trace exploration with zoomable log clusters, span and latency views, and code-linked insights. Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context.Starting Price: $49 per month -
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Mezmo
Mezmo
Mezmo (formerly LogDNA) enables organizations to instantly centralize, monitor, and analyze logs in real-time from any platform, at any volume. We seamlessly combine log aggregation, custom parsing, smart alerting, role based access controls, and real-time search, graphs, and log analysis in one suite of tools. Our cloud based SaaS solution sets up within two minutes to collect logs from AWS, Docker, Heroku, Elastic and more. Running Kubernetes? Start logging in two kubectl commands. Simple, pay-per-GB pricing without paywalls, overage charges, or fixed data buckets. Simply pay for the data you use on a month-to-month basis. We are SOC2, GDPR, PCI, and HIPAA compliant and are Privacy Shield certified. Our military grade encryption ensures your logs are secure in transit and storage. We empower developers with user-friendly, modernized features and natural search queries. With no special training required, we save you even more time and money. -
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NetOp
NetOp.Cloud
NetOp Cloud is an AI-driven network operations platform designed to simplify and enhance network management for enterprises and managed service providers. It offers real-time visibility across hybrid and multi-vendor environments, integrating traditional and cloud-managed networks into a unified dashboard. Key features include predictive network analytics, automated incident resolution, and intelligent alert filtering, which collectively reduce IT ticket volumes by up to 90% and accelerate the mean time to resolution. NetOp's AI continuously learns and adapts to network behavior, providing early warnings of anomalies, performing root cause analysis, and suggesting or implementing corrective actions autonomously. It supports seamless integration with existing systems via APIs and is scalable from single-site deployments to global networks. -
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StormForge
StormForge
StormForge Optimize Live continuously rightsizes Kubernetes workloads to ensure cloud-native applications are both cost effective and performant while removing developer toil. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the Kubernetes horizontal pod autoscaler (HPA) at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced machine learning to recommend optimal resource requests and limits. Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing. Organizations see immediate benefits from the reduction of wasted resources — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate.Starting Price: Free -
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Autointelli AIOps Platform
Autointelli Systems
Autointelli Inc, an AIOps company, provides solutions that handle modern IT operations (ITOps) with a duo of automation and machine learning. With a solution-oriented approach, we thrive in developing an AIOps platform that simplifies data center automation. Automate them with Autointelli AIOps platform – reduce alert noise, identify root causes and free your resources for high-value IT tasks. Build a better digital workplace with us. Autointelli AIOps Platform automatically correlates the events faster and escalates the tedious incidents to respective engineers. Autointelli AIOps Platform comes with a self-service automation feature that allows you to create any number of workflows to automate. Root cause analysis helps to identify the underlying cause of a problem in hardware and software. Analytics should enhance your business performance and provide possible insights from all major data sources. -
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Infraon AIOps
Infraon
A platform-centric AI/ML-driven approach for centralizing and processing huge amounts of IT-related data from disparate sources. Empower multiple teams to be more responsive to outages and slowdowns and get bi-directional connectivity with ITSM technologies. AIOps tackles daily IT operational issues at scale by leveraging diverse technological techniques, including ML, network science, combinatorial optimization, and other computational approaches. AIOps allows businesses to address a wide range of IT management operations, from intelligent alerting, alert correlation, and alert escalation to auto-remediation, root-cause investigation, and capacity optimization. Use a disciplined framework for proactively streamlining processes, resources, personnel, information, and communication. Manage everything 24/7 by continuously examining, improving, and optimizing operations. Establish processes that reduce the unnecessary noise you experience when incidents occur. -
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Coroot
Coroot
Coroot is an open-source, AI-powered observability platform designed to give teams full visibility into their infrastructure and applications while automatically identifying and explaining issues in real time. It collects and analyzes telemetry data, including metrics, logs, traces, and profiling information, without requiring code changes or complex configuration, using eBPF to instrument systems automatically and deliver immediate insights. It builds a complete model of your system by mapping services, dependencies, databases, and network connections, allowing you to visualize how components interact and quickly detect anomalies or performance bottlenecks. Coroot’s AI-powered root cause analysis acts like a virtual assistant, automatically checking common failure scenarios, identifying the source of incidents, and suggesting actionable fixes, reducing the need for manual debugging and significantly shortening resolution time.Starting Price: $1 per month -
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Broadcom WatchTower Platform
Broadcom
Enhancing business performance by simplifying the identification and resolution of high-priority incidents. The WatchTower Platform is an observability solution that simplifies incident resolution in mainframe environments by integrating and correlating events, data flows, and metrics across IT silos. It offers a unified, user-friendly experience for operations teams to streamline workflows. Built on familiar AIOps solutions, WatchTower detects potential issues early, facilitating proactive avoidance. It also uses OpenTelemetry to stream mainframe data and insights to observability tools, enabling enterprise SREs to identify bottlenecks and enhance operational efficiency. WatchTower augments alerts with pertinent context, eliminating the need for multiple tool logins to collect critical information. WatchTower workflows expedite problem identification, investigation, and incident resolution, and simplify problem handover and escalation. -
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Federator.ai
ProphetStor Data Services
Federator.ai®, ProphetStor’s Artificial Intelligence for IT Operations (AIOps) platform, provides intelligence to orchestrate container resources on top of VMs (virtual machines) or bare metal, allowing users to operate applications without the need to manage the underlying computing resources. Container adoption is growing, and Kubernetes is becoming the de facto standard of container management platforms. Whether container adoption occurs on-premises, in public clouds, or both, the operational overhead is enormous. Using AI/Machine Learning technology, Federator.ai® makes workload and resource predictions for containerized applications. It assists IT administrators foresee computing resource demands of applications and manage computing resources while optimizing costs without sacrificing performance. -
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BMC AMI Ops
BMC Software
BMC AMI Ops is an AIOps-powered mainframe operations and observability platform built to improve resilience, performance, efficiency, and control. The platform helps teams monitor multiple mainframe systems and subsystems from one integrated view, reducing blind spots across z/OS, CICS, Db2, IMS, MQ, Java, networks, storage, batch, and related environments. BMC AMI Ops uses AI, machine learning, and GenAI to detect anomalies, explain findings, show business impact, and guide remediation inside modern operations dashboards. It also supports OpenTelemetry-compliant streaming so mainframe operational data can flow into broader enterprise observability platforms. Teams can use BMC AMI Ops to consolidate alerts, reduce noise, automate infrastructure tasks, optimize CPU and MIPS usage, and improve mean time to detect and resolve issues. -
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OpenText AI Operations Management
OpenText
OpenText AI Operations Management, also known as Operations Bridge, is an enterprise-grade event and performance management platform designed to accelerate IT operations through full-stack AIOps. It provides automated discovery, monitoring, and remediation across multicloud and on-premises environments, enhancing IT observability and problem resolution speed. The platform consolidates data from various toolsets to pinpoint service slowdowns and uncover solutions quickly. Deployment flexibility allows organizations to choose SaaS or on-premises models based on their needs for control or speed. AI-driven event correlation reduces noise and accelerates root cause analysis, helping to lower mean time to repair (MTTR). With embedded automation, it offers thousands of out-of-the-box remedial actions to improve service health. -
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Project Calico
Project Calico
Calico is an open-source networking and network security solution for containers, virtual machines, and native host-based workloads. Calico supports a broad range of platforms including Kubernetes, OpenShift, Mirantis Kubernetes Engine (MKE), OpenStack, and bare metal services. Whether you opt to use Calico's eBPF data plane or Linux’s standard networking pipeline, Calico delivers blazing-fast performance with true cloud-native scalability. Calico provides developers and cluster operators with a consistent experience and set of capabilities whether running in the public cloud or on-prem, on a single node, or across a multi-thousand-node cluster. Calico gives you a choice of data planes, including a pure Linux eBPF data plane, a standard Linux networking data plane, and a Windows HNS data plane. Whether you prefer the cutting-edge features of eBPF or the familiarity of the standard primitives that existing system administrators already know, Calico has you covered.Starting Price: Free -
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Sedai
Sedai
Sedai is an autonomous cloud management platform powered by AI/ML delivering continuous optimization for cloud operations teams to maximize cloud cost savings, performance and availability at scale. Sedai enables teams to shift from static rules and threshold-based automation to modern ML-based autonomous operations. Using Sedai, organizations can reduce cloud cost by up to 50%, improve performance by up to 75%, reduce failed customer interactions (FCIs) by 75% and multiply SRE productivity by up to 6X for their modern applications. Sedai can perform work equivalent to a team of cloud engineers working behind the scenes to optimize resources and remediate issues, so organizations can focus on innovation.Starting Price: $10 per month -
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KubeSphere
KubeSphere
KubeSphere is a distributed operating system for cloud-native application management, using Kubernetes as its kernel. It provides a plug-and-play architecture, allowing third-party applications to be seamlessly integrated into its ecosystem. KubeSphere is also a multi-tenant enterprise-grade open-source Kubernetes container platform with full-stack automated IT operations and streamlined DevOps workflows. It provides developer-friendly wizard web UI, helping enterprises to build out a more robust and feature-rich Kubernetes platform, which includes the most common functionalities needed for enterprise Kubernetes strategies. A CNCF-certified Kubernetes platform, 100% open-source, built and improved by the community. Can be deployed on an existing Kubernetes cluster or Linux machines, supports the online and air-gapped installation. Deliver DevOps, service mesh, observability, application management, multi-tenancy, storage, and networking management in a unified platform. -
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Synergy
Unframe
Synergy is an AI-native command center for enterprise IT operations that unifies siloed monitoring, ticketing, logging, and documentation into a single pane of glass. It continuously correlates signals across tools like Splunk, New Relic, Jira, ServiceNow, and Confluence to turn alert storms into clear, prioritized insights. Synergy’s Smart Incident Workflows automate routine tasks, suggest next steps, flag ownership gaps, and accelerate resolution to cut mean time to detection and repair. Its proactive monitoring detects risks before traditional alerts trigger, flags error spikes and missed escalations, recognizes emerging patterns, and answers investigative queries in natural language. Built-in root cause analysis traces incidents end-to-end across time, logs, metrics, tickets, and post-mortems, links to similar events for instant context, and generates concise summaries. -
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Riverbed IQ
Riverbed
When organizations invest in an observability platform that unifies data, insights, and actions across IT, they can resolve problems faster, and eliminate data silos, resource-intensive war rooms, and alert fatigue. Riverbed IQ unified observability enables fast, effective decision-making across business and IT, codifying expert troubleshooting knowledge so junior staff can achieve more first-level resolutions, facilitating digital innovation, and continuously improving the digital experience for customers and employees. Broad-based telemetry brings together a unified view of performance and insights, which is the foundation of unified observability upon which all other capabilities are delivered. Riverbed IQ's approach to unified observability begins with our full-fidelity telemetry – across the network and infrastructure and including end-user experience metrics. -
45
incident.io
incident.io
Simple. Powerful. Effortless incident management. With a beautifully simple interface, powerful workflow automation, and integrations with all your existing tools, prepare for incident management like never before. We make adoption easy by meeting your teams where they already work in Slack, and integrating seamlessly with all the tools you already know and love, including Jira, Statuspage, and PagerDuty. We guide your teams through the most stressful times. Now anyone can run incidents with confidence so you can scale your organization without slowing down. Create consistency instantly with our easy to build workflows. Automate tedious processes from sending update emails to execs to compiling post-mortems, so you can focus on fixing and building world-class products. Avoid duplication and reduce unnecessary distractions by running more transparent incidents. You can assign roles and actions, provide incident updates, and find an overview of all live incidents.Starting Price: $16 per responder per month -
46
StackState
StackState
StackState's Topology and Relationship-Based Observability platform lets you manage your dynamic IT environment more effectively by unifying performance data from your existing monitoring tools into a single topology. Enabling you to: 1. 80% Decreased MTTR: by identifying the root cause and alerting the right teams with the correct information. 2. 65% Fewer Outages: through real-time unified observability and more planful planning. 3. 3x Faster Releases: by giving time back to developers to increase implementations. Get started today with our free guided demo: https://www.stackstate.com/schedule-a-demo -
47
JFrog Insight
JFrog
JFrog has acquired CloudMunch and we are focused on integrating our solutions to empower your experience with DevOps BI and analytics. We can’t do it without your feedback and welcome you to be among the first customers to try JFrog Insight. Managing and monitoring DevOps values will now be an easy task. JFrog Insight is enterprising DevOps with the first continuous intelligence and configuration solution. This universal tool will provide a complete picture of your DevOps ecosystem and process, collect key metrics, correlate them across the diverse systems, giving actionable insights to development managers, operations teams, and compliance officers. Our R&D team is currently working on a perfect merge of CloudMunch product into JFrog’s tools stack to give you JFrog Insight – the next gen DevOps bringing BI analytics to your organization. -
48
meshIQ
meshIQ
Middleware Observability & Management Software for Messaging, Event Processing, and Streaming Across Hybrid Cloud (MESH). - Complete observability and monitoring of Integration MESH with 360° Situational Awareness® - Securely manage, and automate configuration, administration, and deployment - Track, trace, and analyze transactions, messages and flows - Collect, monitor, and benchmark MESH performance meshIQ delivers granular access controls to manage configurations across the MESH to reduce downtime and quick recovery from outages. Provides the ability to find, browse, track, and trace messages to detect bottlenecks and speeding up root-cause analysis. Unlocks the integration blackbox to deliver visibility across the MESH infrastructure to visualize, analyze, report, and predict. Delivers the ability to trigger automated actions based on pre-defined criteria or intelligent actions determined by AI/ML. -
49
Riverbed Aternity
Riverbed Technology
The Riverbed Aternity platform provides AI-powered analytics and self-healing control to improve employee productivity and customer satisfaction, get to market fast with high quality apps, drive down the cost of IT operations, and mitigate the risk of IT transformation. Riverbed Aternity delivers AI-enabled insights based on real end user experience data and high-fidelity telemetry across endpoints, application, infrastructure and network. With capabilities such as DXI (benchmarking), Intelligent Service Desk, AI-enabled troubleshooting, Digital Workplace teams can drive continuous service improvement and prevent incidents across the enterprise. Discover how Aternity can help enterprises gain full-estate visibility, reduce IT asset costs, advance sustainable IT and improve both employee and customer happiness. -
50
AWS DevOps Agent
Amazon
AWS DevOps Agent is a software from Amazon Web Services (AWS) designed to act as an autonomous, always-on operations engineer that resolves and proactively prevents incidents across your infrastructure, applications, and deployments. It automatically learns your application resources and their relationships, including infrastructure, code repositories, deployment pipelines, observability tools, and telemetry, then uses that knowledge to correlate logs, metrics, traces, deployment data, and recent code changes. When an alert, error spike, or support ticket arises, DevOps Agent immediately begins automated investigation; it triages incidents 24/7, runs root-cause analysis, and proposes detailed mitigation plans which can be automatically routed through team workflows (e.g., via Slack, ServiceNow, PagerDuty) or directly create support cases with AWS.