Best Free Observability Tools of 2024

AI-powered cloud observation platform. Middleware platform helps you identify, understand and resolve issues across your cloud infrastructure. AI will detect and diagnose all issues infra, application and infrastructure and provide better recommendations for fixing them. Dashboard allows you to monitor metrics, logs and traces in real time. The best and fastest results with the least amount of resources. Bring all metrics, logs and traces together into a single timeline. A full-stack platform for observability will give you complete visibility into your cloud. Our AI-based algorithms analyze your data and make suggestions for what you should fix. Your data is yours. Control your data collection, and store it in your cloud to save up to 10x the cost. Connect the dots to determine where the problem began and where it ended. Fix problems before users report them. The users get a comprehensive solution for cloud observability at a single location. It's also too cost-effective.

Open source continuous profiling. Find and debug the most painful performance issues in code, infrastructure, and CI/CD pipelines. You can tag your data according to the dimensions that are important to your organization. You can store large volumes of high-cardinality profiling information efficiently and cheaply. FlameQL allows you to create custom queries that select and aggregate profiles quickly for easy analysis. Our suite of profiling software allows you to analyze application performance profiles. Understand CPU and memory resource usage at any time to identify performance issues before your customers do. Store, analyze, and collect profiles from external profiling tools. Link to your OpenTelemetry trace data and get request specific or span specific profiles to enhance other observability information like traces and logs

SigNoz can be used as an open-source alternative to Datadog or New Relic. A single tool that can handle all your observability requirements, including APM, logs and metrics, exceptions and alerts, dashboards, and dashboards. You don't have to manage multiple tools. You can use the powerful query builder and great charts that come with the software to dig deeper into data. By using an open-source standard, you are not locked into a vendor. OpenTelemetry's auto-instrumentation libraries can help you get started quickly and with minimal code changes. OpenTelemetry provides a single-stop solution to all your telemetry requirements. A single standard for telemetry signals increases developer productivity and consistency within teams. Write queries for all telemetry signals. Apply filters and formulas and run aggregates to gain deeper insights. SigNoz uses ClickHouse, a fast open source distributed columnar database. Ingestion and aggregates are lightning fast.

Platforms that provide distributed tracing and observability, such as Jaeger are essential for software applications today, which are designed as microservices. Jaeger tracks the flow of data and requests as they travel through a distributed system. These requests can call multiple services which can introduce delays or errors. Jaeger connects these disparate components to identify performance bottlenecks and errors, as well as improve application reliability. Jaeger is cloud-native and infinitely scalable. It's 100% open source.

The most comprehensive network observability solution available for modern data platforms. Provides unprecedented insights at any size. ElastiFlow enables organizations to achieve unprecedented levels in network performance, availability and security. ElastiFlow gives detailed information about network traffic, including IP addresses, ports and protocols, as well as the amount of data sent. This information allows network administrators gain a deeper understanding of the network's performance, and identify potential problems. ElastiFlow can be used to diagnose and troubleshoot network issues, such as congestion, packet loss, or high latency. Administrators can identify the root cause of a problem by analyzing network traffic and taking appropriate action. ElastiFlow allows organizations to improve their security posture and detect and respond more effectively to threats, while maintaining compliance with regulatory requirements.

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.

Kubernetes-native security, observability. Security and observability code for cloud-native apps. Cloud-native security code for hosts, Kubernetes containers, Kubernetes components and workloads. This code secures north-south traffic and enables enterprise security controls. It also ensures continuous compliance. Kubernetes native observability is code that collects real-time Telemetry. This data is enriched with Kubernetes context for a topographical view of the interactions between components, from hosts to services. Rapid troubleshooting using machine-learning powered anomaly detection and performance hotspot identification. One framework to centrally secure, monitor, troubleshoot, and manage multi-cloud, multi-cloud, hybrid-cloud and hybrid-cloud environments that run Linux or Window containers. To enforce security and compliance, or to resolve issues, update and deploy policies in seconds.

Grafana Phlare aggregates continuous profiling data while providing high availability, multitenancy and durable storage. This allows you to understand resource usage down to the line numbers in your applications. Grafana Phlare, an open-source database, provides a fast, scalable and highly available storage and querying system for profiling data. Phlare's idea was born during a hackathon held by Grafana Labs. The project was announced at ObservabilityCON in 2022. The project's mission is to enable continuous profiler at scale for the Open Source community, giving developers an understanding of resource usage in their code. It allows users to optimize their infrastructure and understand their application performance.

Add enterprise-level security to your OpenAI usage. OpenAI LLM APIs may be powerful, but lack the visibility and control that enterprises require. Usage Panda fixes this. Usage Panda checks the security policies of requests before they are sent to OpenAI. Avoid unexpected bills by only allowing those requests that are below a certain cost threshold. Opt-in for a log of the entire request, parameters and response to every OpenAI request. Create an unlimited number connections, each with their own custom policies and limitations. Monitor, redact and block malicious attempts at altering or revealing system prompts. Usage Panda's visualizations and custom charts allow you to explore usage in great detail. Receive notifications via email or Slack when you reach a usage threshold or billing limit. Assign costs and policy violations to the end application users, and implement rate limits per user.

Pinghome offers the most comprehensive cloud-based monitoring service. Our mission is to provide you with the tools and insight you need to ensure that your websites and APIs run flawlessly. We at Pinghome are committed to providing the highest level of service. This starts with our team of passionate and experienced developers. We are prepared to meet all of your website monitoring requirements with their expertise and dedication.

Linkerd adds critical security and observability features to your Kubernetes cluster. No code changes are required. Linkerd is 100% Apache licensed, with a growing, active, and friendly community. Linkerd's Rust-based data plane proxy servers are extremely small (10MB) and lightning fast (p991ms). No complicated APIs or configuration. Linkerd "just works" for most applications. Linkerd's control plan installs in a single namespace and services can safely be added to the mesh one at a while. A comprehensive suite of diagnostic tools is available, including live traffic samples and automatic service dependency maps. You can monitor golden metrics such as success rate, request volume and latency for every service with best-in-class observation.