Best IT Management Software for Evolven

Find and compare the best IT Management software for Evolven in 2024

Use the comparison tool below to compare the top IT Management software for Evolven on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Dynatrace Reviews

    Dynatrace

    Dynatrace

    $11 per month
    3 Ratings
    The Dynatrace software intelligence platform. Transform faster with unmatched observability, automation, intelligence, and efficiency in one platform. You don't need a bunch of tools to automate your multicloud dynamic and align multiple teams. You can spark collaboration between biz and dev with the most purpose-built use cases in one location. Unify complex multiclouds with out-of the box support for all major platforms and technologies. Get a wider view of your environment. One that includes metrics and logs, and trace data, as well as a complete topological model with distributed traceing, code-level detail and entity relationships. It also includes user experience and behavioral information. To automate everything, from development and releases to cloud operations and business processes, integrate Dynatrace's API into your existing ecosystem.
  • 2
    Cloud Foundry Reviews
    Cloud Foundry makes it easier to build, test and deploy applications faster. It offers a variety of cloud, developer frameworks and application services. It is open-source and available through a variety private cloud distributions as well as public cloud instances. Cloud Foundry uses a container-based architecture to run apps in any programming language. You can deploy apps to CF with your existing tools and without any modifications to the code. With CF BOSH, you can instantly deploy, manage, and manage Kubernetes clusters that are high-availability. You can decouple applications from infrastructure to make individual decisions about where to host workloads. This allows you to move workloads as needed in minutes with no changes to your app.
  • 3
    PagerDuty Reviews
    Top Pick
    PagerDuty, Inc. (NYSE PD) is a leader for digital operations management. Organizations of all sizes rely on PagerDuty to deliver the best digital experience to their customers in an ever-on world. PagerDuty is used by teams to quickly identify and solve problems and to bring together the right people to prevent future ones. PagerDuty's 350+ integrations include Slack, Zoom and ServiceNow as well as Microsoft Teams, Salesforce and AWS. This allows teams to centralize their technology stack and get a holistic view on their operations. It also optimizes processes within their toolkits.
  • 4
    AppDynamics Reviews
    We help you solve your most pressing business problems with simple, flexible and scalable packages that will make your digital transformation a reality. Get started today with our top business observability platform. AppDynamics or Cisco business lenses provide full-stack visibility. Prioritize the most important things for your business and your employees so that you can share, see and take action in real-time. With a deeper understanding and appreciation of user behavior and applications, you can turn performance into profit. You can quickly fix issues before they affect your bottom line by integrating full stack performance with key business metrics, such as conversions.
  • 5
    Splunk IT Service Intelligence Reviews
    Dashboards can be used to monitor service health, troubleshoot alarms, and conduct root cause analysis. Reduce MTTR by integrating ITSM and orchestration tools with real-time event correlation and automated incident prioritization. Advanced analytics such as adaptive thresholding, predictive health scores and anomaly detection can be used to monitor KPI data and prevent problems up to 30 minutes before they occur. Pre-built dashboards allow you to monitor performance and visually correlate services with the underlying infrastructure. Side-by-side comparisons of multiple services can be used to identify root causes. Machine learning algorithms and historical service scores can be used to predict future incidents. You can automatically update your rules using adaptive thresholding or anomaly detection based on historical and observed behavior. This will ensure that your alerts never go out of date.
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