Best Free Observability Tools of 2025 - Page 3

Find and compare the best Free Observability tools in 2025

Use the comparison tool below to compare the top Free Observability tools on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Pinghome Reviews

    Pinghome

    Pinghome

    €7/month
    Pinghome stands out as the foremost provider of top-tier cloud-based uptime monitoring solutions. Our straightforward mission is to equip you with essential tools and insights that guarantee your websites and APIs operate seamlessly at all times. We prioritize delivering outstanding service, beginning with our talented team of skilled and enthusiastic developers. Their commitment and expertise allow us to address all your website monitoring requirements, ensuring you receive unmatched assistance and direction throughout the entire process. Furthermore, we continually strive to innovate and enhance our offerings to better serve our clients in an ever-evolving digital landscape.
  • 2
    Portkey Reviews

    Portkey

    Portkey.ai

    $49 per month
    LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!
  • 3
    HTCD Reviews
    HTCD is an AI-driven cloud security SaaS designed to significantly enhance your security posture. HTCD offers centralized visibility with over 500 pre-built policies covering cloud security, infrastructure, networks, SaaS, and compliance. You retain full control of your data while benefiting from seamless integration and extensive protection. Detect - No-Code Detection Engineering Eliminate the need for complex coding. With HTCD, create detections without code, using plain English as your programming language. Quickly identify and mitigate potential threats with queries like: "Which CVEs are exploitable in my Azure environment?" "Show me S3 costs over the past two weeks." Hunt - Proactive Internal Threat Hunting Track activities across all your Cloud (Azure, AWS) and SaaS (M365, GitHub, HubSpot, Slack, etc.) tools with ease. Empower your security analysts and internal threat detection teams with one-click hunting for rapid detection and resolution. Respond - Address What Matters Most Gain a risk-based perspective on security misconfigurations and vulnerabilities, prioritized by AI specifically for you. HTCD helps you address the most critical issues, drastically reducing response times and operational risk.
  • 4
    meshIQ Reviews
    Middleware Observability & management software for Messaging, event processing, and Streaming Across Hybrid Clouds (MESH). - 360 degree situational awareness® with complete observability of Integration MESH - Manage configuration, administration and deployment in a secure manner and automate them. - Track and trace transactions, messages, and flows - Collect data, monitor performance, and benchmark it meshIQ provides granular controls for managing configurations in the MESH, reducing downtime and allowing quick recovery after outages. It allows you to search, browse, track and trace messages in order to detect bottlenecks, speed up root cause analysis, and detect bottlenecks. Unlocks integration blackbox for visibility across MESH infrastructure in order to visualize, analyse, report and predict. Delivers the capability to trigger automated action based on predefined criteria or intelligent AI/ML actions.
  • 5
    Tigera Reviews
    Security and observability tailored for Kubernetes environments. Implementing security and observability as code is essential for modern cloud-native applications. This approach encompasses cloud-native security as code for various elements, including hosts, virtual machines, containers, Kubernetes components, workloads, and services, ensuring protection for both north-south and east-west traffic while facilitating enterprise security measures and maintaining continuous compliance. Furthermore, Kubernetes-native observability as code allows for the gathering of real-time telemetry, enhanced with context from Kubernetes, offering a dynamic view of interactions among components from hosts to services. This enables swift troubleshooting through machine learning-driven detection of anomalies and performance issues. Utilizing a single framework, organizations can effectively secure, monitor, and address challenges in multi-cluster, multi-cloud, and hybrid-cloud environments operating on either Linux or Windows containers. With the ability to update and deploy security policies in mere seconds, businesses can promptly enforce compliance and address any emerging issues. This streamlined process is vital for maintaining the integrity and performance of cloud-native infrastructures.
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    Linkerd Reviews
    Linkerd enhances the security, observability, and reliability of your Kubernetes environment without necessitating any code modifications. It is fully Apache-licensed and boasts a rapidly expanding, engaged, and welcoming community. Constructed using Rust, Linkerd's data plane proxies are remarkably lightweight (under 10 MB) and exceptionally quick, achieving sub-millisecond latency for 99th percentile requests. There are no convoluted APIs or complex configurations to manage. In most scenarios, Linkerd operates seamlessly right from installation. The control plane of Linkerd can be deployed into a single namespace, allowing for the gradual and secure integration of services into the mesh. Additionally, it provides a robust collection of diagnostic tools, including automatic mapping of service dependencies and real-time traffic analysis. Its top-tier observability features empower you to track essential metrics such as success rates, request volumes, and latency, ensuring optimal performance for every service within your stack. With Linkerd, teams can focus on developing their applications while benefiting from enhanced operational insights.