Best Observability Tools of 2024

Observability allows you to detect data issues and ML problems faster, to deliver continuous improvements and to avoid costly incidents. Start with reliable data. Monitor data in motion for quality issues. Pinpoint data and models drift. Identify the training-serving skew, and proactively retrain. Monitor key performance metrics continuously to detect model accuracy degradation. Identify and prevent data leakage in generative AI applications. Protect your generative AI apps from malicious actions. Improve AI applications by using user feedback, monitoring and cross-team collaboration. Integrate in just minutes with agents that analyze raw data, without moving or replicating it. This ensures privacy and security. Use the proprietary privacy-preserving technology to integrate the WhyLabs SaaS Platform with any use case. Security approved by healthcare and banks.

Helios gives security teams context and actionable insights at runtime that reduce alert fatigue. This is done by providing real-time visibility of app behavior. We provide accurate insights into the software components that are in use and their data flow, providing an accurate assessment of the risk profile. Save time by prioritizing fixes according to the unique context of your application - focusing on its real attack surface. Security teams can identify which vulnerabilities need to be fixed by using the applicative context. Once the proof is in hand, it is not necessary to convince the development team that a particular vulnerability exists.

Your enterprise's self-healing IT solution. HEAL's unique cognitive capabilities prevent IT system failures from ever happening, allowing you to focus your energy on other areas of your business. It's not enough to flag incidents after they happen in a fast-paced world. HEAL, a self-healing tool that predicts and prevents instead of fixing what's broken is a new age IT tool. It uses AI algorithms and machine learning to help enterprises run smoothly. HEAL uses a patented technique called workload-behavior correlation'. It analyzes all aspects that contribute to the smooth running an IT system (the cumulative volumes, composition, and payload) and responds to any abnormal behavior. This action can either be a healing or scaling action depending on the root cause.

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.

gProfiler combines several sampling profilers into a single visualization of how your CPU is being used. It displays stack traces for native programs, including Golang, Java and Python runtimes. gProfiler allows you to upload your results into the Granulate Performance Studio. This studio aggregates results from different instances and different time periods, giving you a holistic overview of the cluster. To upload your results, you'll need to register on the website and generate a token.

Splunk Log Observer allows DevOps teams understand the "why" of application behavior. Splunk Log Observer is easy to set up and connects to important developer and SRE-oriented logs. Splunk Log Observer allows for easy browsing and exploration of logs. Get started quickly. Splunk®, Log Observer connects to some of the most popular data sources such as OpenTelemetry and Kubernetes. Fluentd and multiple AWS Services in-context with all your telemetry data. Reduce time troubleshooting. Live Tail allows developers and SREs to quickly filter and view critical logs without needing to learn a query language. To quickly fix any problems, you can quickly dive into the relevant logs. It is possible to reduce the time required for context switching between monitoring or troubleshooting. Splunk Log Observer is part of Splunk Observability cloud. It allows you to filter log exploration by using an attribute of a trace, such as a trace ID or a parameter from a tag.

Telemetry that is portable, ubiquitous, and high-quality to allow effective observation. OpenTelemetry is an open-source collection of APIs and SDKs. It can be used to instrument, generate logs, logs, or traces telemetry data to analyze the performance and behavior of your software. OpenTelemetry can be used in many languages. You can create and collect telemetry data using your software and services, and then forward them to various analysis tools. OpenTelemetry can be integrated with popular frameworks and libraries like ASP.NET Core Express, Quarkus, Spring, and ASP.NET Core. Integration is as easy as writing a few lines. OpenTelemetry is 100% free and open source. It is supported by industry leaders in observability.