Alternatives to Small Hours

Compare Small Hours alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Small Hours in 2026. Compare features, ratings, user reviews, pricing, and more from Small Hours competitors and alternatives in order to make an informed decision for your business.

  • 1
    NeuBird

    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.
    Compare vs. Small Hours View Software
    Visit Website
  • 2
    Grafana Cloud

    Grafana Cloud

    Grafana Labs

    Grafana Labs delivers the leading AI-powered observability platform, built around Grafana—the world’s most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Observability Platforms (3x) and furthest in Completeness of Vision (2025, 2026), Grafana Labs supports more than 25 million users and thousands of organizations, from startups to the Fortune 500. Grafana Cloud is the open observability cloud, built on open source, open standards, and open ecosystems. Powered by the LGTM stack—Grafana (visualization), Mimir (metrics), Loki (logs) & Tempo (traces)—it unifies telemetry in one platform for full-stack visibility across applications, infrastructure, and digital experiences. With the AI-powered Grafana Assistant and Adaptive Telemetry suite, teams detect and resolve issues faster, reduce wasteful telemetry spend, and gain real-time insights to ensure reliability. Native OTel support and 100s of integrations mean you can plug in existing tools & data sources.
    Compare vs. Small Hours View Software
    Visit Website
  • 3
    Sematext Cloud

    Sematext Cloud

    Sematext Group

    Sematext Cloud is an innovative, unified platform with all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack. It's used by organizations of all sizes and across a wide range of industries, with the goal of driving collaboration between engineering and business teams, reducing the time of root-cause analysis, understanding user behaviour and tracking key business metrics. The main capabilities range from log monitoring to APM, server monitoring, database monitoring, network monitoring, uptime monitoring, website monitoring or container monitoring Find complete details on our website. Or better: start a free demo, no email address required.
  • 4
    Epsagon

    Epsagon

    Epsagon

    Epsagon enables teams to instantly visualize, understand and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Increase development velocity and reduce application downtime with Epsagon.
    Starting Price: $89 per month
  • 5
    BigPanda

    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.
  • 6
    Splunk AppDynamics
    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
  • 7
    IBM Instana
    IBM Instana is the gold standard of incident prevention with automated full-stack visibility, 1-second granularity and 3 seconds to notify. With today’s highly dynamic and complex cloud environments, the average cost of an hour of downtime can reach six figures and beyond. Traditional application performance monitoring (APM) tools simply aren’t fast enough to keep up or thorough enough to contextualize the issues identified. Also, they are typically limited to super users who must complete months of training to learn. IBM Instana Observability goes beyond traditional APM solutions by democratizing observability so anyone across DevOps, SRE, platform engineering, ITOps and development can get the data they want with the context they need. Instana Dynamic APM operates using the Instana agent architecture, which incorporates sensors—lightweight, automated programs tailored to monitor specific entities.
    Starting Price: $75 per month
  • 8
    Deductive AI

    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.
  • 9
    Elastic APM
    Get deep visibility into your cloud-native and distributed applications — from microservices to serverless architectures — and quickly identify and resolve root causes of issues. Seamlessly adopt APM to automatically identify anomalies, map service dependencies, and simplify investigations into outliers and abnormal behavior. Optimize your application code with extensive support for popular languages, OpenTelemetry, and distributed tracing. Identify performance issues with automated and curated visual representation of all dependencies, including cloud, messaging, data store, and third-party services and their performance data. Drill into anomalies, transaction details, and metrics for deeper analysis.
    Starting Price: $95 per month
  • 10
    StackPilot

    StackPilot

    StackPilot

    StackPilot is an AI-powered oncall copilot that automates root cause analysis and bug fixes for software engineers. It integrates directly with observability tools like Datadog, Sentry, and PagerDuty to transform alerts into actionable fixes. The platform analyzes recent commits, logs, and stack traces to pinpoint faulty code, then generates pull requests with proposed solutions. Engineers only need to review and merge, significantly cutting resolution time from hours to an average of 15 minutes. StackPilot also captures investigative steps and converts them into reusable runbooks, improving incident response over time. With strong privacy measures—no code or logs stored—it ensures secure, real-time analysis for engineering teams.
  • 11
    Aspecto

    Aspecto

    Aspecto

    Troubleshoot performance bottlenecks and errors within your microservices. Correlate root causes across traces, logs, and metrics. Cut your OpenTelemetry traces cost with Aspecto built-in remote sampling. How OTel data is visualized impacts your troubleshooting abilities. Go from a high-level overview to the very last detail with best-in-class visualization. Correlate logs and traces. From logs to their matched traces and back with one click. Never lose context and resolve issues faster. Use filters, free-text search, and groups to search your trace data and quickly pinpoint where in your system the problem is occurring. Cut your costs by sampling only the data you need. Sample traces based on languages, libraries, routes, and errors. Set data privacy rules to hide sensitive fields within trace data, specific routes, or anywhere else. Connect your day-to-day tools with your workflow. Logs, error monitoring, external events API, and more.
    Starting Price: $40 per month
  • 12
    OpenTelemetry

    OpenTelemetry

    OpenTelemetry

    High-quality, ubiquitous, and portable telemetry to enable effective observability. OpenTelemetry is a collection of tools, APIs, and SDKs. Use it to instrument, generate, collect, and export telemetry data (metrics, logs, and traces) to help you analyze your software’s performance and behavior. OpenTelemetry is generally available across several languages and is suitable for use. Create and collect telemetry data from your services and software, then forward them to a variety of analysis tools. OpenTelemetry integrates with popular libraries and frameworks such as Spring, ASP.NET Core, Express, Quarkus, and more! Installation and integration can be as simple as a few lines of code. 100% Free and Open Source, OpenTelemetry is adopted and supported by industry leaders in the observability space.
  • 13
    Arize Phoenix
    Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.
  • 14
    Logfire

    Logfire

    Pydantic

    Pydantic Logfire is an observability platform designed to simplify monitoring for Python applications by transforming logs into actionable insights. It provides performance insights, tracing, and visibility into application behavior, including request headers, body, and the full trace of execution. Pydantic Logfire integrates with popular libraries and is built on top of OpenTelemetry, making it easier to use while retaining the flexibility of OpenTelemetry's features. Developers can instrument their apps with structured data, and query-ready Python objects, and gain real-time insights through visualizations, dashboards, and alerts. Logfire also supports manual tracing, context logging, and exception capturing, providing a modern logging interface. It is tailored for developers seeking a streamlined, effective observability tool with out-of-the-box integrations and ease of use.
    Starting Price: $2 per month
  • 15
    Pyroscope

    Pyroscope

    Pyroscope

    Open source continuous profiling. Find and debug your most painful performance issues across code, infrastructure and CI/CD pipelines. Let you tag your data on the dimensions important for your organization. Allows you to store large volumes of high cardinality profiling data cheaply and efficiently. FlameQL enables custom queries to select and aggregate profiles quickly and efficiently for easy analysis. Analyze application performance profiles using our suite of profiling tools. Understand usage of CPU and memory resources at any point in time and identify performance issue before your customer do. Collect, store, and analyze profiles from various external profiling tools in one central location. Link to your OpenTelemetry tracing data and get request-specific or span-specific profiles to enhance other observability data like traces and logs
  • 16
    Sift

    Sift

    Sift

    Sift is a unified observability platform purpose-built for modern, mission-critical hardware systems that provides engineers with infrastructure and tooling to ingest, store, normalize, and explore high-frequency, high-cardinality telemetry and event data from design, validation, manufacturing, and operations in a single source of truth rather than fragmented dashboards and scripts; it centralizes diverse data types, aligns signals across subsystems, and structures information for fast search, visual review, and traceability so teams can detect anomalies, perform root-cause analysis, automate verification and validation, and debug hardware with real-time precision. It supports automated data review, no-code visualization and querying of massive datasets, continuous anomaly detection, and integration with engineering workflows, including CI/CD pipelines and tooling, while enabling telemetry governance, collaboration, reporting, and knowledge capture across siloed teams.
  • 17
    Traversal

    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.
  • 18
    Broadcom WatchTower Platform
    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.
  • 19
    SigNoz

    SigNoz

    SigNoz

    SigNoz is an open source Datadog or New Relic alternative. A single tool for all your observability needs, APM, logs, metrics, exceptions, alerts, and dashboards powered by a powerful query builder. You don’t need to manage multiple tools for traces, metrics, and logs. Get great out-of-the-box charts and a powerful query builder to dig deeper into your data. Using an open source standard frees you from vendor lock-in. Use auto-instrumentation libraries of OpenTelemetry to get started with little to no code change. OpenTelemetry is a one-stop solution for all your telemetry needs. A single standard for all telemetry signals means increased developer productivity and consistency across teams. Write queries on all telemetry signals. Run aggregates, and apply filters and formulas to get deeper insights from your data. SigNoz uses ClickHouse, a fast open source distributed columnar database. Ingestion and aggregations are lightning-fast.
    Starting Price: $199 per month
  • 20
    Prefix

    Prefix

    Stackify

    It’s easy to maximize app performance with your FREE preview trial of Prefix featuring OpenTelemetry. With the latest open-source observability protocol, OTel Prefix streamlines application development with universal telemetry data ingestion, unmatched observability, and extended language support. OTel Prefix puts the power of OpenTelemetry in the hands of developers, supercharging performance optimization for your entire DevOps team. With unmatched observability across user environments, new technologies, frameworks, and architectures, OTel Prefix simplifies every step in code development, app creation, and ongoing performance optimization for your apps and your team! With Summary Dashboards, consolidated logs, distributed tracing, smart suggestions, and the ability to jump from logs to traces (and back), Prefix puts powerful APM capabilities in the hands of developers.
    Starting Price: $99 per month
  • 21
    Apache SkyWalking
    Application performance monitor tool for distributed systems, specially designed for microservices, cloud-native and container-based (Kubernetes) architectures. 100+ billion telemetry data could be collected and analyzed from one SkyWalking cluster. Support log formatting, extract metrics, and various sampling policies through script pipeline in high performance. Support service-centric, deployment-centric, and API-centric alarm rule setting. Support forwarding alarms and all telemetry data to 3rd party. Metrics, traces, and logs from mature ecosystems are supported, e.g. Zipkin, OpenTelemetry, Prometheus, Zabbix, Fluentd.
  • 22
    TelemetryHub

    TelemetryHub

    TelemetryHub by Scout APM

    Built on the open-source framework OpenTelemetry, TelemetryHub is the ultimate application monitoring tool with correlated logs and metrics. TelemetryHub provides a single pane of glass for all logs, metrics, and tracing data. A Simple, out-of-the-box observability tool that visualizes all your system telemetry data in a consumable format with no proprietary agent that results in vendor lock-in.
  • 23
    TraceRoot.AI

    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
  • 24
    InsightFinder

    InsightFinder

    InsightFinder

    InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.
    Starting Price: $2.5 per core per month
  • 25
    VirtualMetric

    VirtualMetric

    VirtualMetric

    VirtualMetric is a powerful telemetry pipeline solution designed to enhance data collection, processing, and security monitoring across enterprise environments. Its core offering, DataStream, automatically collects and transforms security logs from a wide range of systems such as Windows, Linux, MacOS, and Unix, enriching data for further analysis. By reducing data volume and filtering out non-meaningful logs, VirtualMetric helps businesses lower SIEM ingestion costs, increase operational efficiency, and improve threat detection accuracy. The platform’s scalable architecture, with features like zero data loss and long-term compliance storage, ensures that businesses can maintain high security standards while optimizing performance.
  • 26
    Apica

    Apica

    Apica

    Apica is the observability cost optimization leader helping IT teams gain complete control over their telemetry data economics. Apica Ascent processes all observability data types including metrics, logs, traces, and events while optimizing observability costs by 40% compared to traditional approaches. Unlike solutions that lock users into proprietary formats, Ascent offers true flexibility with support for any data lake of choice, on-premises or cloud deployment options, and elimination of expensive tool sprawl through modular solutions. Built to handle high-cardinality data that overwhelms competitive solutions, Ascent includes the patented InstaStore™ optimized storage technology for maximum efficiency and advanced root cause analysis capabilities. Organizations choose us to make observability investments that reduce costs instead of spiraling them out of control.
  • 27
    Resolve AI

    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.
  • 28
    Komodor

    Komodor

    Komodor

    Komodor takes the complexity out of K8s troubleshooting, providing all of the tools you need to troubleshoot with confidence. Komodor monitors your entire k8s stack, identifies issues, uncovers their root cause and delivers the context you need to troubleshoot efficiently and independently. Auto-identify k8s anomalies, failed deploys, misconfigurations, bottlenecks and other health issues. Spot emerging problems before they spread out and affect the end-users. Use ready-made playbooks to streamline root cause analysis, sidestep disruptive escalations and save hours of precious dev time. Provide your teams with straightforward remediation instructions that turn every responder into a troubleshooting expert.
    Starting Price: $10 per node per month
  • 29
    Splunk APM
    Innovate faster in the cloud, elevate user experience and future-proof your applications. Built for the cloud-native enterprise, Splunk helps you solve modern issues. Detect any issue before it turns into a customer problem. Reduce MTTR with our real-time, AI-driven Directed Troubleshooting. Flexible, open-source instrumentation eliminates lock-in. Maximize performance by seeing everything in your application, and act on AI-driven analytics. To deliver a flawless end-user experience, you need to observe everything. With NoSample™ full-fidelity trace ingestion, leverage all your trace data to identify any anomaly. Reduce MTTR with Directed Troubleshooting to quickly understand service dependencies, correlation with underlying infrastructure and root-cause error mapping. Breakdown and explore any transaction by any metric or dimension. Quickly and easily understand how your application behaves for different regions, hosts, versions or users.
    Starting Price: $660 per Host per year
  • 30
    Fluent Bit

    Fluent Bit

    Fluent Bit

    Fluent Bit can read from local files and network devices, and can scrape metrics in the Prometheus format from your server. All events are automatically tagged to determine filtering, routing, parsing, modification and output rules. Built-in reliability means if you hit a network or server outage you will be able to resume from where you left off without data loss. Rather than serving as a drop-in replacement, Fluent Bit enhances the observability strategy for your infrastructure by adapting and optimizing your existing logging layer, as well as metrics and traces processing. Furthermore, Fluent Bit supports a vendor-neutral approach, seamlessly integrating with other ecosystems such as Prometheus and OpenTelemetry. Trusted by major cloud providers, banks, and companies in need of a ready-to-use telemetry agent solution, Fluent Bit effectively manages diverse data sources and formats while maintaining optimal performance.
  • 31
    Hyground

    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.
  • 32
    KloudMate

    KloudMate

    KloudMate

    Squash latencies, detect bottlenecks, and debug errors. Join a rapidly expanding community of businesses from around the world, that are achieving 20X value and ROI by adopting KloudMate, compared to any other observability platform. Quickly monitor crucial metrics, and dependencies, and detect anomalies through alarms and issue tracking. Instantly locate ‘break-points’ in your application development lifecycle, to proactively fix issues. View service maps for every component in your application, and uncover intricate interconnections and dependencies. Trace every request and operation, providing detailed visibility into execution paths and performance metrics. Whether it's multi-cloud, hybrid, or private architecture, access unified Infrastructure monitoring capabilities to monitor metrics and gather insights. Supercharge debugging speed and precision with a complete system view. Identify and resolve issues faster.
    Starting Price: $60 per month
  • 33
    Shield34

    Shield34

    Shield34

    Shield34 is the ONLY web automation framework that: Is 100% Selenium compatible! Continue working with your existing Selenium scripts. Create new scripts using Selenium API. Addresses the Selenium flaky tests issues by using self healing, smart defenses, error recovery mechanisms and dynamic element locators. Provides AI based anomaly detection and root cause analysis to quickly analyze failed tests and see what changed and what caused the failure. Eliminate Flaky Tests. Flaky tests are a huge pain! Shield34 adds defense-and-recovery AI algorithms to every Selenium command, including dynamic element locator, eliminating false positive results, driving self-healing and maintenance-free testing. Get Real-time Root Cause Analysis Using AI algorithms, Shield34 is automatically pinpointing the root cause of every test failure – reducing the overhead of debugging and reproducing failed tests. Enjoy a ‘Smarter Selenium’. Integrate automatically with your
  • 34
    Coroot

    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
  • 35
    Qligent Vision
    Quick and simple to deploy and use, Vision’s lightweight architecture reduces costs and provides action-based, real-time root cause analysis. Its software-driven probes have limitless expandability throughout the network and offer broadcasters, network operators and content distributors a financially viable method to finally gain direct analytical access at the last mile. Vision shifts your content distribution to a new level of reliability – monitoring more points than ever, all real-time, providing an unprecedented level of fault tolerance and redundancy with hot-swap backup, load balancing and clustering. Designed to operate continuously, Vision enables detailed root cause analysis that includes 24/7 video capture of each issue along with time correlated trend history. Deploying Vision over the entire network unveils a true picture of the channel delivery out to the last mile.
  • 36
    Langtrace

    Langtrace

    Langtrace

    Langtrace is an open source observability tool that collects and analyzes traces and metrics to help you improve your LLM apps. Langtrace ensures the highest level of security. Our cloud platform is SOC 2 Type II certified, ensuring top-tier protection for your data. Supports popular LLMs, frameworks, and vector databases. Langtrace can be self-hosted and supports OpenTelemetry standard traces, which can be ingested by any observability tool of your choice, resulting in no vendor lock-in. Get visibility and insights into your entire ML pipeline, whether it is a RAG or a fine-tuned model with traces and logs that cut across the framework, vectorDB, and LLM requests. Annotate and create golden datasets with traced LLM interactions, and use them to continuously test and enhance your AI applications. Langtrace includes built-in heuristic, statistical, and model-based evaluations to support this process.
  • 37
    Riverbed APM
    Simplified high-definition APM visibility leveraging real user monitoring, synthetic monitoring, and OpenTelemetry, that is scalable, easy to use and deploy, and unifies insights across end users, applications, networks, and the cloud-native ecosystem. Microservices deployed in containers across dynamic cloud infrastructure have created a transient, distributed environment at a massive scale. The old ways of scaling APM, sampled transactions, incomplete traces, and aggregate metrics, are no longer working, and legacy APM tools fail to diagnose why crucial business applications are still slow or stalling. The Riverbed platform delivers unified visibility across the modern application ecosystem, is easy to deploy and manage, and results in faster troubleshooting for even the toughest performance problems. Riverbed APM is fully adapted to the cloud-native ecosystem delivering comprehensive monitoring and observability for transactions running on modern cloud and app infrastructure.
  • 38
    Tigera

    Tigera

    Tigera

    Kubernetes-native security and observability. Security and observability as code for cloud-native applications. Cloud-native security as code for hosts, VMs, containers, Kubernetes components, workloads, and services to secure north-south and east-west traffic, enable enterprise security controls, and ensure continuous compliance. Kubernetes-native observability as code to collect real-time telemetry, enriched with Kubernetes context, for a live topographical view of interactions between components from hosts to services. Rapid troubleshooting with machine-learning powered anomaly and performance hotspot detection. Single framework to centrally secure, observe, and troubleshoot multi-cluster, multi-cloud, and hybrid-cloud environments running Linux or Window containers. Update and deploy policies in seconds to enforce security and compliance or resolve issues.
  • 39
    RTEAM

    RTEAM

    DataTech911

    RTEAM is a real-time solution that provides a powerful user-managed tool to create alerts and exceptions. Alerts provide real-time notification of issues that need immediate action in the field, in operations, and in dispatch. Exceptions are captured in real time to be reviewed and analyzed. A workflow process provides mechanisms for timely collection of relevant information enhancing the quality and accuracy of the data necessary for root cause analysis. Response time, turnaround time, chute time, problem nature, and transport refusals are some of the metrics that are instrumental in recognizing training opportunities. Monitor exceptions, as they occur, to assign a reason code through an easy-to-use workflow. Use the collective results to determine the root cause and a course of action.
  • 40
    Sensai

    Sensai

    Sensai

    Sensai provides AI based anomaly detection, root cause analysis and prediction tool, enabling real time resolution of issues. Sensai AI solution significantly improves uptime & time to root cause. Empowers IT leaders to manage SLAs for improved performance and profitability. Streamlines & automates anomaly detection, prediction, root cause analysis (RCA) & resolution. Holistic view & integrated analytics through integration w/3rd party tools. Pre-trained algorithms & models from day one.
  • 41
    Elastic Observability
    Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.
    Starting Price: $16 per month
  • 42
    aspenONE Asset Performance Management (APM)
    Get accurate failure alerts weeks or months in advance with real-time data and predictive analytics. Leverage the combination of prescriptive maintenance, root cause analysis, RAM analysis and more to address issues at the equipment, process and system levels. Quickly deploy automated Asset Performance Management solutions through low-touch machine learning to predict asset failures and reduce downtime — plant-wide, system-wide or across multiple locations.
  • 43
    Honeycomb

    Honeycomb

    Honeycomb.io

    Log management. Upgraded. With Honeycomb. Honeycomb is built for modern dev teams to better understand application performance, debug & improve log management. With rapid query, find unknown unknowns across system logs, metrics & traces with interactive charts for the deepest view against raw, high cardinality data. Configure Service Level Objective (SLOs) on what users care about so you cut-down noisy alerts and prioritize the work. Reduce on-call toil, ship code faster and keep customers happy. Pinpoint the cause. Optimize your code. See your prod in hi-res. Our SLOs tell you when your customers are having a bad experience so that you can immediately debug why those issues are happening, all within the same interface. Use our Query Builder to easily slice and dice your data to visualize behavioral patterns for individual users and services (grouped by any dimensions).
    Starting Price: $70 per month
  • 44
    Observe

    Observe

    Observe

    Observe – the AI-powered observability company – is reinventing how businesses detect anomalies, troubleshoot applications, and resolve incidents to deliver exceptional customer experiences. Only Observe eliminates silos of logs, metrics, and traces by storing all data in a single, cost-efficient data lake, analyzing all telemetry data using a single language, and providing access through a single, consistent, user interface. Observe’s AI-Powered Observability enables companies to resolve software incidents three times faster at one-third the cost. Customers such as Capital One, Dialpad AI, Top Golf and more trust Observe to turn their data into actionable insights.
    Starting Price: $0.35 Per GiB
  • 45
    Splunk IT Service Intelligence
    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.
  • 46
    Oracle Unified Assurance
    Deploy an end-to-end service assurance solution with automated root cause analysis using event correlation, machine learning (ML), and topology. Oracle Unified Assurance can be deployed as an overlay platform to unify monitoring across existing assurance tools or as a standalone assurance solution. Integrate the solution into multivendor networks and management systems, or deploy it in a hybrid mode. Oracle’s Unified Assurance solution is helping customers automate assurance and implement assisted and full closed-loop automation. Provide dynamic, end-to-end assurance for 5G solutions at scale while ensuring optimal quality of service and customer experience with machine learning (ML) analytics. Automate operations with end-to-end network and service assurance by federating across existing tools. Leverage existing investments with a roadmap to rationalize the tools and build the basis for autonomous operations.
  • 47
    PlayerZero

    PlayerZero

    PlayerZero

    PlayerZero is an AI-driven predictive quality platform designed to help engineering, QA, and support teams monitor, diagnose, and resolve software issues before they impact customers by deeply understanding complex codebases and simulating how code will behave in real-world conditions. It applies proprietary AI models and semantic graph analysis to integrate signals from source code, runtime telemetry, customer tickets, documentation, and historical data, giving users unified, context-rich insights into what their software does, why it’s broken, and how to fix or improve it. Its agentic debugging agents can autonomously triage, root cause analyze, and even suggest fixes for issues, reducing escalations and accelerating resolution times while preserving audit trails, governance, and approval workflows. PlayerZero also includes CodeSim, an agentic code simulation capability powered by the Sim-1 model that predicts the impact of changes.
  • 48
    Causely

    Causely

    Causely

    Bridging observability with automated orchestration for self-managed, resilient applications at scale. Every second, huge volumes of data are generated by observability and monitoring tools, capturing metrics, logs, and traces about all aspects of complex, dynamic applications. Yet it’s still up to humans to troubleshoot and make sense of all this data. They are locked in a never-ending cycle of responding to alerts, identifying root causes, and determining the best action for remediation. The process hasn’t changed fundamentally in decades, and it’s still labor-intensive, reactive, and costly. Causely removes the need for human troubleshooting by capturing causality in software, closing the gap between observability and action. For the first time, the entire lifecycle of detection, root cause analysis, and remediation of defects in applications is fully automated. With Causely, defects are identified and resolved in real-time, so applications can scale with high performance.
  • 49
    Arize AI

    Arize AI

    Arize AI

    Automatically discover issues, diagnose problems, and improve models with Arize’s machine learning observability platform. Machine learning systems address mission critical needs for businesses and their customers every day, yet often fail to perform in the real world. Arize is an end-to-end observability platform to accelerate detecting and resolving issues for your AI models at large. Seamlessly enable observability for any model, from any platform, in any environment. Lightweight SDKs to send training, validation, and production datasets. Link real-time or delayed ground truth to predictions. Gain foresight and confidence that your models will perform as expected once deployed. Proactively catch any performance degradation, data/prediction drift, and quality issues before they spiral. Reduce the time to resolution (MTTR) for even the most complex models with flexible, easy-to-use tools for root cause analysis.
    Starting Price: $50/month
  • 50
    IBM Operations Analytics
    IBM® Z® Operations Analytics is a tool that enables you to search, visualize and analyze large amounts of structured and unstructured operational data across IBM Z environments, including log, event and service request data and performance metrics. Leverage your analytics platform and machine learning to gain enterprise visibility, identify issues in your workloads, locate hidden problems and perform root cause analysis faster. Use machine learning to baseline normal system behavior and detect operational anomalies. Detect emerging issues across services, so you can proactively alert and cognitively adjust to changes. Gain expert advice for corrective actions and greater service assurance. Identify unusual workload behaviors. Locate common issues hidden in operational data. Reduce time required for root cause analysis. Harness the domain expertise of IBM Z. Leverage IBM Z insights on your analytics platform.