Remove Engineering Culture Remove Metrics Remove Performance Remove Sustainability
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The Ultimate Model for Managing Performance in Agile Environments

Xebia

Autonomy & Alignment: Spotify Engineering Culture – part 1, Henrik Kniberg, 2019. Balancing these factors is critical to good performance in Agile organizations. To help, we’ve created a model for Agile performance management that highlights everything needed for the creation of ahigh-alignment, high-autonomy environment.

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5 Ways to Increase Release Velocity with Observability

Honeycomb

And with Honeycomb, teams can easily monitor key factors such as performance degradation, response times, and resource utilization to ensure that systems continue to operate as they should. But even the best observability offering needs a culture of support.

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Establishing and Enabling a Center of Production Excellence

Honeycomb

Resilience is an activity they perform, rather than a property attributable to the organization. As such, the group needs access to independent funding and other guarantees that grant it sufficient power to do its work in order to sustain itself—in case certain factions try to impede it. They don’t take that achievement for granted.

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Empowering Engineering Excellence: Achieving a 26% Reduction in On-call Pages at Amperity with Modern Observability for Logs

Honeycomb

Being on the leading-edge of software development requires quality observability insights, and the company wanted a new partner that could support their engineering charter for continual improvement and growth. Amperity’s observability depended on a suite of tools for logs, metrics, and dashboards. The challenge?

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Making the Internet faster at Netflix

Hacker Earth Developers Blog

And for me, the big part of the success of growth was actually a step above the pure engineering architecture. It’s firstly rooted in the engineering culture because the first Netflix employees are great people. Like you will, you’ll have to design the main metrics. There is no stress.

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Chaos Engineering at Datadog

LaunchDarkly

Our tools provide a surprisingly deep level of insight, into your applications for your engineers. As a result, it makes things like chaos engineering far easier to build and adapt and grow. It’s in the DNA of our company to be thinking about performance, and monitoring, and resiliency. Why should you listen to me?

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Grown-Up Lean

LeanEssays

He describes “some surprising theories about software engineering”: I discuss these theories in terms of two fundamentally different development styles, the "cathedral" model of most of the commercial world versus the "bazaar" model of the Linux world. Clark and Takahiro Fujimoto.