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Five observability trends that will shape 2025

Five observability trends that will shape 2025 Five observability trends that will shape 2025
Five observability trends that will shape 2025 – Published by IT-Branschen

Simply put, observability is the ability to understand the state of an IT system by collecting, analyzing, and interpreting data from various sources. The aim is to gain a holistic view of how the systems are functioning in order to identify, diagnose, and fix problems quickly and effectively.

As the IT environments As digital services become increasingly complex and advanced, the demands on how organizations monitor their systems are also changing. Observability, which encompasses much more than just monitoring, has become increasingly important for autonomous, sustainable, and intelligent IT environments.

Bernd Greifeneder
Bernd Greifeneder

Here are five trends that Dynatrace Bernd Greifeneder will characterize the work on observability in 2025:

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  1. From reactive to preventive
    Observability helps move from reacting to problems to anticipating and preventing them. By AI-powered Ecosystems that integrate insights from distributed subsystems can more easily predict errors and automatically fix them before they impact operations.
  2. Real-time security and compliance
    Compliance with rules such as EU DORA-Legislation is becoming increasingly dynamic and real-time. The work on observability and security together provides a unified picture of both threats and regulation. This strengthens the ability to manage cyber threats while reducing costs and the risk of violations.
  3. Sustainability as a competitive advantage
    As AI and cloud services drive up energy demand, sustainability becomes a must. Observability helps companies in this context. to optimize their energy consumption and become more efficient, which both reduces costs and allows them to meet stricter sustainability regulations.
  4. Indispensable for AI services
    AI services are becoming increasingly complex and observability is required to ensure their trustworthiness and transparency. By monitoring AI systems, organizations can identify errors, correct distortions and ensure that decisions are consistent with business objectives and ethical requirements.
  5. New life in AIOps
    AIOps (AI for IT operations) will become even more useful by combining different AI technologies working towards common goals. This leads to better analytics, faster problem resolution, and increased robustness.

A necessity for success

2025 will be a crucial year for observability. Business that embrace the ongoing trends will not only handle technological challenges better but also drive innovation and build more stable digital systemsObservability is no longer a choice – it is a prerequisite for success with your IT work.

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