Webinar: Automating Go/No-Go Performance Decisions in Continuous Pipelines

You don’t have to be an engineer to understand the idea of how operational work – manual execution of repetitive tasks often part of a fire-fight/break-fix exercise, takes away from delivering the “stuff” that moves the business forward. The “stuff” is strategic thinking and delivery of value – something that all performance engineers yearn to have more time to do.

Suffice it to say, the struggle to strike a balance between the tactical and strategic is always going to be present. However, those who are shifting left and right are using automation to achieve this harmony with continuous decision-making an everyday reality.

Engineering has a term for the operational chores; it’s called toil, first popularized by Google back in 2016 with the advent of the Site Reliability Engineering (SRE) movement. In its purest form,
toil is the result of executing a “production service tending to be manual, repetitive, automatable, tactical, or otherwise, devoid of enduring value.”

Any competitive IT organization will agree that the absence of value delivery can be crippling to the business. Value provision comes from continuous optimization, which, for engineers, in many ways, is addressed through automation.

We recently delivered a webinar focused on how to best integrate a continuous performance mindset into the automated software delivery process to ensure that development teams are achieving operational/strategic task equity. More critically, what it takes to move performance feedback loops away from end-of-cycle checkboxes to every day toolchain outputs such that the go/no-go decision can be continuous.

Learn More about Automating Performance Analysis

Next Step: Schedule a Quick Call with Us

No matter where you are on your Agile, DevOps, or otherwise overgrown software forest journey, the Neotys team is interested in helping you shape the performance practices of your organization. Find an engineer and a sixty-minute window, and contact us to figure out how to get your performance ball rolling in a better direction.


Paul Bruce
Sr. Performance Engineer

Paul’s expertise includes cloud management, API design and experience, continuous testing (at scale), and organizational learning frameworks. He writes, listens, and teaches about software delivery patterns in enterprises and critical industries around the world.

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