Best IT Management Software for Lightrun
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Compare the Top IT Management Software that integrates with Lightrun as of October 2025
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This a list of IT Management software that integrates with Lightrun. Use the filters on the left to add additional filters for products that have integrations with Lightrun. View the products that work with Lightrun in the table below.
What is IT Management Software for Lightrun?
IT management software is software used to help organizations and IT teams improve operational efficiency. It can be used for tasks such as tracking assets, monitoring networks and equipment, managing workflows, and resolving technical issues. It helps streamline processes to ensure businesses are running smoothly. IT management software can also provide accurate reporting and analytics that enable better decision-making. Compare and read user reviews of the best IT Management software for Lightrun currently available using the table below. This list is updated regularly.
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1
New Relic
New Relic
Optimize IT Management with New Relic. Empower strategic oversight and drive operational excellence. Elevate your IT management approach with New Relic’s advanced observability platform, designed to deliver unparalleled visibility and control. Our solution offers a holistic view of your IT environment for software engineer practitioners, integrating data from across your systems to streamline operations, enhance decision-making, and drive business outcomes. Monitor performance in real-time, identify and resolve issues proactively, and ensure optimal resource allocation with actionable insights. Foster collaboration between IT and business units, align technology investments with strategic goals, and navigate the complexities of modern IT landscapes with confidence. New Relic transforms IT management into a strategic asset, fueling growth and innovation while maintaining operational efficiency.Starting Price: Free -
2
Kubernetes
Kubernetes
Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.Starting Price: Free -
3
Datadog
Datadog
Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.Starting Price: $15.00/host/month -
4
Dynatrace
Dynatrace
The Dynatrace software intelligence platform. Transform faster with unparalleled observability, automation, and intelligence in one platform. Leave the bag of tools behind, with one platform to automate your dynamic multicloud and align multiple teams. Spark collaboration between biz, dev, and ops with the broadest set of purpose-built use cases in one place. Harness and unify even the most complex dynamic multiclouds, with out-of-the box support for all major cloud platforms and technologies. Get a broader view of your environment. One that includes metrics, logs, and traces, as well as a full topological model with distributed tracing, code-level detail, entity relationships, and even user experience and behavioral data – all in context. Weave Dynatrace’s open API into your existing ecosystem to drive automation in everything from development and releases to cloud ops and business processes.Starting Price: $11 per month -
5
Splunk AppDynamics
Cisco
Splunk AppDynamics delivers full-stack observability for hybrid and on-prem environments, linking technical performance directly to business outcomes. It enables teams to detect anomalies, diagnose root causes, and prioritize issues based on their real business impact. With capabilities ranging from network performance correlation to SAP system optimization, the platform offers deep insights across applications, APIs, and infrastructure. Its runtime security features safeguard applications by detecting vulnerabilities, blocking attacks, and highlighting potential risks. AppDynamics also enhances digital experiences with web, mobile, and synthetic monitoring to understand user journeys. By unifying performance, security, and business analytics, Splunk AppDynamics helps enterprises reduce costs, prevent outages, and deliver seamless customer experiences.Starting Price: $6 per month -
6
Logz.io
Logz.io
We know engineers love open source. So we supercharged the best open source monitoring tools — including ELK, Prometheus, and Jaeger, and unified them on a scalable SaaS platform. Collect and analyze your logs, metrics, and traces on one unified platform for end-to-end monitoring. Visualize your data on easy-to-use and customizable monitoring dashboards. Logz.io’s human-coached AI/ML automatically uncovers errors and exceptions in your logs. Quickly respond to new events with alerting to Slack, PagerDuty, Gmail, and other endpoints. Centralize your metrics at any scale on Prometheus-as-a-service. Unified with logs and traces. Add just three lines of code to your Prometheus config files to begin forwarding your metrics to Logz.io for storage and analysis. Quickly respond to new events by alerting Slack, PagerDuty, Gmail, and other endpoints. Logz.io’s human-coached AI/ML automatically uncovers errors and exceptions in your logs.Starting Price: $89 per month -
7
Prometheus
Prometheus
Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/Starting Price: Free -
8
Swarm
Docker
Current versions of Docker include swarm mode for natively managing a cluster of Docker Engines called a swarm. Use the Docker CLI to create a swarm, deploy application services to a swarm, and manage swarm behavior. Cluster management integrated with Docker Engine: Use the Docker Engine CLI to create a swarm of Docker Engines where you can deploy application services. You don’t need additional orchestration software to create or manage a swarm. Decentralized design: Instead of handling differentiation between node roles at deployment time, the Docker Engine handles any specialization at runtime. You can deploy both kinds of nodes, managers and workers, using the Docker Engine. This means you can build an entire swarm from a single disk image. Declarative service model: Docker Engine uses a declarative approach to let you define the desired state of the various services in your application stack.
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