Paul Dix is the creator of InfluxDB. He has helped build software for startups, large companies, and organizations such as Microsoft, Google, McAfee, Thomson Reuters, and Air Force Space Command. He is the series editor for Addison Wesley’s Data and Analytics book and video series. In 2010 Paul wrote a book called Service-Oriented Design with Ruby and Rails for Addison Wesley. In 2009 he started the NYC Machine Learning Meetup, which now has over 7,000 members. Paul holds a degree in computer science from Columbia University. Dix shares his 2022 predictions about the physical and virtual worlds, APIs, enhanced observational capabilities, software, and more.
Physical and virtual world predictions for 2022
One trend that I continue to see is increasing the ability to observe, both physical and virtual. This means not only additional sensors and systems, but also greater accuracy in measurement. It may occur at a higher frequency in the case of metrics (for example, measuring once per second instead of once per minute, or 100 times per second instead of once per second), or it may be used as an additional reference. is caught while measuring something. For example, if you’re writing an API, you can log response times for individual requests, but you can also choose to add more context such as which client, which specific user, or which software. Version requested or responded to.
As software and infrastructure for working with time-series data improve, users’ demand for ever-increasing precision, context, and detail increases. This allows operators and builders not only to troubleshoot problems, but also to build increased sophistication into their automation. But step one is always building observability whatever it is; Phase two is building the software and infrastructure to capture the observations, and phase three is automation. The exponential growth in the scale of each step is the overall trend which I anticipate will continue to accelerate in 2022.
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