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     Tags: Product AIOps

    Each year there comes a time to look forward and think about next year and maybe even further. This can be a daunting task, especially in the fast-changing IT industry. Luckily, Gartner prepared a list of the top 10 Technologies that will drive the future of Infrastructure and Operations up through 2024. This list might come in handy when you’re preparing your 2020 roadmap and beyond. We listed Gartner’s top 10 for you in this blog post and paid special attention to one particular technology…AIOps, let’s go!

    What's important for I&O leaders in 2020 & beyond?

    The IT landscape is continually shifting due to the velocity, variety, veracity and volume of data. To keep up, technology innovation leaders are forced to rethink infrastructure strategies for next-generation workloads, Gartner writes. I&O leaders should drive what Gartner calls “creative destruction”. This means to be willing to fundamentally rethink technology architecture, deployment environment and operating models. In order to help you rethink, Gartner made a top 10 of technologies that can support you reshaping your IT infrastructure.

    Gartner's Top 10 Technologies that will have the greatest impact on I&O

    Gartner has analyzed many transformative technologies and selected 10 that they believe will have the greatest impact on I&O. Because of the transformative nature of these technologies, Gartner expects that they will mature within the next five years. So, the top 10 won’t only prepare you for 2020 but up through 2024. Here’s the list:

    1. Artificial Intelligence for IT Operations (AIOps) Platforms
    2. Compute Accelerators
    3. Container Management (Orchestration)
    4. DevOps Toolchain
    5. Edge Computing
    6. Hybrid Cloud
    7. Intent-Based Networking
    8. Next-Generation Memory
    9. NVMe and NVMe-oF
    10. Serverless Computing

    AIOps according to Gartner

    Because StackState is an AIOps platform, we take a closer look at this technology in particular. Gartner introduces AIOps as platforms that combine big data and machine learning to support several primary IT operations functions. AIOps is capable of this because of scalable ingestion and analysis of the ever-increasing volume, variety and velocity of data that IT operations generate. Enabling the concurrent use of multiple data sources, data collection methods, and analytical and presentation technologies, Gartner writes.

    There are four reasons why EA and Technology Innovation Leaders should care about AIOps according to Gartner:

    • Agility and productivity gains: analyze IT and business data, yielding, insights on user interaction, business activity and supporting IT system behavior.
    • Service improvement and cost reduction: cut the time and effort required to identify the cause of uptime and performance issues. Behavior-prediction-informed forecasting can support resource optimization efforts.
    • Risk mitigation: analyze monitoring, configuration and service desk data. Identify anomalies from both operations and security perspectives.
    • Competitive differentiation/disruption: superior responsiveness to market and end-user demand based on machine-based analysis of shifts.

    Gartner predicts that by 2022, at least 25% of large enterprises will be using AIOps platforms and digital experience monitoring (DEM) technology exclusively to monitor the nonlegacy segments of their IT estates, up from 2% in 2018.

    Start with AIOps

    At StackState, we’re especially pleased to see Gartner’s number 1 of the top 10 is Artificial Intelligence for IT Operations (AIOps) Platforms. StackState believes that AIOps will have a great impact on Infrastructure and Operations. Gartner supports that vision by placing AIOps at the top of their list. The fact that StackState is named as a key vendor within AIOps is a big recognition of our platform and the hard work we put in it. StackState is an AIOps platform by design. Data is ingested through seamless integration with the tools that are already there. Gartner mentions that this is an aspect in which AIOps vendors vary. Finally, Gartner mentions that building your own AIOps platform requires a high degree of operational, analytical and data science skills. Luckily, you don’t have to build your own because we did that for you. Start here with AIOps.


     

     

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