Best IT Infrastructure Monitoring Tools for Lightrun

New Relic offers sophisticated monitoring solutions for Cloud and Infrastructure as a Service (IaaS) designed specifically for large-scale enterprises. Our comprehensive platform consolidates data from various IaaS and Cloud service providers, enabling real-time oversight, automated notifications, and in-depth performance analysis. Boost operational efficiency with eBPF instrumentation through New Relic eAPM, along with personalized dashboards that help maximize resource management, keep expenses in check, and maintain infrastructure stability.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

The Dynatrace software intelligence platform revolutionizes the way organizations operate by offering a unique combination of observability, automation, and intelligence all within a single framework. Say goodbye to cumbersome toolkits and embrace a unified platform that enhances automation across your dynamic multicloud environments while facilitating collaboration among various teams. This platform fosters synergy between business, development, and operations through a comprehensive array of tailored use cases centralized in one location. It enables you to effectively manage and integrate even the most intricate multicloud scenarios, boasting seamless compatibility with all leading cloud platforms and technologies. Gain an expansive understanding of your environment that encompasses metrics, logs, and traces, complemented by a detailed topological model that includes distributed tracing, code-level insights, entity relationships, and user experience data—all presented in context. By integrating Dynatrace’s open API into your current ecosystem, you can streamline automation across all aspects, from development and deployment to cloud operations and business workflows, ultimately leading to increased efficiency and innovation. This cohesive approach not only simplifies management but also drives measurable improvements in performance and responsiveness across the board.

Open source is a passion for engineers. We supercharged the top open-source monitoring tools, including Jaeger, Prometheus and ELK, and combined them into a scalable SaaS platform. You can collect and analyze all your logs, metrics, traces and other data on one platform for end to end monitoring. You can visualize your data using customizable and easy-to-use monitoring dashboards. Logz.io's AI/ML human-coach automatically detects and corrects any errors or exceptions in your logs. Alerting to Slack and PagerDuty, Gmail and other endpoints allows you to quickly respond to new events. Centralize your metrics at any scale on Prometheus-as-a-service. Unified with logs, traces. Just three lines of code are required to add to your Prometheus config file to start forwarding your metrics and data to Logz.io.

Enhance your metrics and alerting capabilities using a top-tier open-source monitoring tool. Prometheus inherently organizes all data as time series, which consist of sequences of timestamped values associated with the same metric and a specific set of labeled dimensions. In addition to the stored time series, Prometheus has the capability to create temporary derived time series based on query outcomes. The tool features a powerful query language known as PromQL (Prometheus Query Language), allowing users to select and aggregate time series data in real time. The output from an expression can be displayed as a graph, viewed in tabular format through Prometheus’s expression browser, or accessed by external systems through the HTTP API. Configuration of Prometheus is achieved through a combination of command-line flags and a configuration file, where the flags are used to set immutable system parameters like storage locations and retention limits for both disk and memory. This dual method of configuration ensures a flexible and tailored monitoring setup that can adapt to various user needs. For those interested in exploring this robust tool, further details can be found at: https://sourceforge.net/projects/prometheus.mirror/