The 2024 Observability Landscape report

From AIOps to OpenTelemetry, generative AI and tool consolidation, find out how 500+ observability decision makers are navigating the journey to modern observability.

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The results are in

  • 99
    %

    of organizations report their observability data is siloed

  • 25
    %

    of respondents report that five or more initiatives are driving their investment in observability

  • 62
    %

    describe themselves as "evolving" in the observability adoption cycle

Observability Insights

Learn from your industry peers

Find out what's working and what's not in observability. This survey tackles important topics like the impact of AIOps, generative AI, and OpenTelemetry. See what leaders are experiencing around tool consolidation, centers of excellence, and developing observability competence for their teams.

  • Top 3 challenges: Different requirements, lack of collaboration, and insufficient skills

    Bringing IT operations teams together is a challenge for observability initiatives. Find out more about the potential hurdles to deploying observability.

  • Top 3 opportunities: Reducing MTTR, tool consolidation, and faster release cycles

    Observability maturity shows that it's crucial to develop the right expertise and culture to take advantage of modern observability. This report shows you why.

  • AI predictions: A shift to AI-powered observability

    Artificial intelligence (AI) is top of mind for teams looking to do more with less. Learn why 96% of respondents believe AI innovations will impact observability.

  • OpenTelemetry predictions: An important vendor consideration

    From evaluation to usage, 87% of respondents agree OpenTelemetry will be the standard for observability data within five years. Get more insights on OpenTelemetry in this report.

Don't miss out

Observability leaders have weighed in – see how your peers are navigating the journey to modern observability. Read the report now.

 

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