Best Observability Tools for Windows of 2024

BMC Helix Operations Management, a cloud-native, fully integrated, observability, and AIOps system, is designed to address hybrid-cloud environments. For truly effective AIOps, adopt a service-centric approach for observability data. Combine third-party observability data, such as metrics, events logs, incidents and changes, into a central IT storage data store. Service health can be viewed and root cause isolation can be achieved using dynamic business service models that are auto-generated. Increase signal-to-noise ratio through AI event suppression, deduplication and correlation to create actionable circumstances. With data and service models, AI probability assignments to causal nosdes using data and models allow for root cause isolation. Business Service Health monitoring and AI outage prediction can help you prevent problems from ever happening. Log enrichment and analytics make it easy to troubleshoot quickly. Automate your tasks with BMC or third-party tools.

Connect, secure, monitor, and manage (CSM2) your distributed enterprise edge using centralized observability, analytics, and connectivity. To ensure increased uptime, performance, and security, it is easier to identify and fix issues quickly. Open microservices architecture provides everything you need for managing your distributed enterprise edge.

LogIQ.AI's LogFlow allows you to centrally manage your observability data pipes. Data streams are automatically organized and optimized as they arrive for your business teams or knowledge workers. XOps teams can centralize the management of data flows, increase data quality, and relevance. LogFlow's InstaStore, which can be built on any object store allows for infinite data retention and data replay to any target observation platform of your choosing. Analyze operational metrics across applications, infrastructure and gain actionable insight that will help you scale with confidence and maintain high availability. By analyzing and collecting behavioral data from business systems, you can help your business make better business decisions and provide better user experiences. Don't let new attack techniques catch you off guard. Automate threat prevention and remediation by automating the detection and analysis of threat patterns from multiple sources.

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.

Enterprise observability for all of your teams at scale Traditional tools only detect simple threshold-based anomalies. This makes it difficult to distinguish between real issues and false alarms. VMware Tanzu Observability from Wavefront allows you to create smart alerts that dynamically filter out noise and capture true anomalies. It is difficult to troubleshoot distributed cloud applications because of many moving parts, dependencies on other applications, and frequent code changes. Wavefront tracks all metrics from your cloud applications, infrastructure, and clouds. It can be difficult to find the right needle when dealing with thousands of metrics from containerized microservices and distributed cloud applications. AI Genie™, which automatically identifies "unknown unknowns", allows you to quickly find the root cause of an incident - isolate applications, infrastructure, and cloud.

Fluent Bit is able to read local files, network devices and scrape metrics from your server in Prometheus format. All events are automatically tagged in order to determine filtering rules, routing rules, parsing rules, modification and output. The built-in reliability ensures that if there is a network or a server outage, you can resume where you left off. Fluent Bit does not replace your existing logging system, but rather enhances it by optimizing metrics and traces, and adapting the logging layer. Fluent Bit also supports a vendor neutral approach, seamlessly integrating other ecosystems like Prometheus or OpenTelemetry. Fluent Bit is trusted by major cloud providers, companies, and banks that need a ready-to use telemetry agent. It manages data formats and sources while maintaining optimal performance.

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.