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5 benefits of ITSM you can extend beyond IT

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Big data's role in revitalizing IT operations analytics

IT operations have been bolstered by analytics tools over the years, which have caused a number of management challenges. Now a new generation of analytics tools has come to illuminate those challenges and provide solutions.

As big data steps into the spotlight, these tools are going to be more vital than ever.

This e-guide walks you through the recent developments and advancements around IT operations tools, and covers everything from managing crises to simply managing day-to-day operations.

These are also closely related to: "5 benefits of ITSM you can extend beyond IT"

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    As your infrastructure becomes increasingly complex, downtime and disruption creep ever forward as possible costly issues with which your IT team could contend.

    For instance, Fortune 100 companies can expect total unplanned application downtime costing as much as $2.5 billion per year; and for a typical enterprise, the average cost of infrastructure failure exceeds $100K an hour.

    To learn how to flip the script on infrastructure complexity, avoid costly outages, orchestrate cross-domain workflows with ease, and automatically connect your various tools, APIs, and services together under one platform, tune into this video to evaluate one option: Composer by Orchestral.ai.

  • How Coralogix reduces observability spend by 40%, boosts real-time insights

    With 600K monthly active users, the teams at Curve—a FinTech company that allows users to link multiple cards—heavily relies on observability data for rapid MTTD and MTTR to address service availability or performance issues. 

    But, in contending with their recent data growth and an unpredictable pricing structure from their previous solution, Curve sat in a veritable observability “blind spot.” Until Coralogix entered the picture.

    Review Curve’s case study to consider the tangible benefits of adopting of Coralogix for observability in your company, including:

    • Handles 8TB daily data volume
    • Reduces spend by 40%
    • Real-time archive querying and efficient data handling
    • And much more

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