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    Are you already applying IT observability to keep up with rapid changes in your IT operations landscape? Currently, the fast adoption of new infrastructures, including hybrid clouds, containers, and microservices, challenges the market. As organizations move towards these highly dynamic architectures, the requirements for traditional IT monitoring change dramatically. More data keeps on coming, and having the time and skill to keep up with this ongoing stream seems to get harder and harder. Want to know how to stay on top of this? Read this blog post to learn more about IT observability.

    Why IT Observability?

    One term keeps popping up to tackle rapid changes in the IT operations landscape: observability. Due to the complexity of the IT world we live in today, good IT observability is becoming extremely important. Because of the influence observability has on IT, it's essential to know everything about observability. If you're already familiar with IT observability and want to take a deep-dive, we recommend you to download this white paper called 'Redefining Observability: A 3-Step Approach for Gaining Control in Fast-Moving IT Landscapes'. But if you're still a little bit unfamiliar with IT observability it might be a smart move to read this blog post first before you download the white paper.

    What is IT Observability?

    In short, IT observability extends the principles of IT monitoring by pulling together data from logs, metrics, traces and events to empower operators to identify root causes of issues and resolve them quickly. That's where most definitions of IT observability stop. At StackState, we believe that this definition is falling short. Data will still be too siloed when you only pull together logs, metrics, traces and events. You won't be able to identify and solve the root causes of any issues that can and will occur. To redefine IT observability we wrote a white paper to come up with a definition of IT observability that's more practical.

    Redefining Observability in 3 steps

    Many teams use 'observability' to get control over the fast-moving IT infrastructures. However, when IT incidents inevitably occur, actionable insights to resolve conflicts instantly are still siloed. The Redefining Observability white paper shows you three steps to gain control in fast-moving IT landscapes. In short, the three steps are:

    1. Adding Real-Time Topology
    2. Tracking all Real-Time Changes
    3. Adding Autonomous AI

    These three steps are explained in more detail in the Redefining Observability white paper. It also shows you what you will need to implement these three steps into your own IT infrastructure to pinpoint the root cause of an issue faster. Read the white paper and learn more about:

    • What traditional observability is and why it is falling short
    • Why topological analysis is crucial in your observability strategy
    • How you can crush MTTR with 'Redefining Observability'

    Observability Redefined

     

    About StackState

    StackState's Unified Observability Product lets you more effectively manage your dynamic IT environment by unifying performance data from your existing monitoring tools into a single topology. Enabling you to:

    1. Prevent Outages: Avoid up to 70% of outages by identifying anomalies across your IT environment before they lead to service interruptions;
    2. Reduce Noise:  Eliminate 90%+ of alerts by correlating event streams, reducing signal noise, and eliminating non-actionable events; and
    3. Decrease MTTR: Reduce resolution times by 80% by pinpointing root cause instantly in our Time-Traveling Topology.

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