Gremlin Alternatives

Identify and fix reliability problems at scale with fault injection, reliability scoring, and risk detection to ensure system availability and resilience.
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Splunk

If you're looking for a Gremlin alternative, Splunk could be a good fit. It's an enterprise resilience platform that uses AI to help detect, investigate and respond to problems. It's got full-stack observability with OpenTelemetry-native support and human-in-the-loop AI acceleration, which means your team can get to the bottom of problems and respond to security threats more quickly.

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ServiceNow Cloud Observability

Another contender is ServiceNow Cloud Observability. It's an AI-powered system for monitoring and responding to changes in cloud-native and monolithic applications, designed to keep them up and running. It can help you understand cloud-native applications and improve productivity by giving dev teams visibility into dependencies, which can lower mean time to resolution (MTTR).

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LogicMonitor

If you want a hybrid observability option, check out LogicMonitor’s LM Envision. It's got real-time insights and automation across on-premises and multi-cloud environments, with monitoring coverage for infrastructure, cloud and digital experiences. It's also got AIOPS abilities to predict and prevent IT problems. It's good for a variety of industries, including financial services and healthcare.

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Datadog

Last, Datadog is an all-in-one monitoring and security tool that offers real-time insights into performance, security and user experience. It's got infrastructure monitoring, APM, synthetic monitoring and security monitoring, among other tools. Datadog is good for a wide range of industries, and you can use it to monitor your entire technology stack, find problems and improve overall system performance and reliability.

More Alternatives to Gremlin

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Honeycomb

Combines logs and metrics into a single workflow, with AI-powered query assistance, to quickly identify and resolve problems in distributed services.

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Observo

Automates observability pipelines, optimizing data for 50%+ cost savings and 40% faster incident resolution with intelligent data routing and reduction.

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Riverbed

Combines full-stack telemetry and AIOps to deliver exceptional digital experiences, automating remediation and providing deep IT environment insights.

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OpsRamp

Unifies hybrid IT infrastructure management with AI-driven event management, intelligent automation, and hybrid observability for faster issue resolution and improved efficiency.

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Logz.io

Accelerate troubleshooting with AI-powered features, including chat with data, anomaly detection, and alert recommendations, to resolve issues up to three times faster.

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Site24x7

Unified monitoring for websites, servers, networks, applications, and cloud platforms, with instant notifications and corrective action insights.

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BigPanda

Correlates and enriches alert data with AI analysis to improve service availability, turning noise into actionable alerts for faster incident detection and resolution.

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Edge Delta

Automates observability with real-time insights, AI-driven anomaly detection, and assisted troubleshooting, scaling to petabytes of data with flexible pipelines.

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NETSCOUT

Provides end-to-end visibility and actionable data insights to ensure optimal user experience and digital service performance across complex networks and environments.

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Better Stack

Unify log management, uptime monitoring, and incident response to resolve downtime 10x faster.

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Raygun

Automatically detects and diagnoses problems with detailed diagnostic information, using AI to create fast and accurate solutions for optimal app performance.

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Lakeside Software

Provides unified, real-time visibility across entire digital estates, enabling proactive IT and root cause analysis to improve employee experience and reduce downtime.

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Spot

Continuously optimizes cloud infrastructure resources, ensuring reliability, security, and efficiency, while reducing costs and complexity through advanced analytics and automation.

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Resolver

Contextualizes all risk data to show business impact, enabling proactive management of risks to objectives, security, and reputation.

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Outshift

Accelerates adoption of generative AI, cloud native, and quantum computing with practical applications and centralized control for enterprises.

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Rely

Unifies software ecosystem tracking, AI-assisted insights, and standards promotion in a single, customizable hub for modern engineering teams.

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Metaplane

Automates end-to-end data observability, detecting anomalies and data quality issues in real-time, enabling data teams to resolve problems quickly and confidently.

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HoneyHive

Collaborative LLMOps environment for testing, evaluating, and deploying GenAI applications, with features for observability, dataset management, and prompt optimization.

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AppOptics

Gain full-stack visibility into application and infrastructure performance with auto-instrumented topology maps, pinpoint root cause analysis, and unified metrics.

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xMatters

Automate workflows, ensure infrastructure availability, and deliver products at scale with no-code/low-code integrations, frictionless on-call management, and adaptive incident response.