Design Software Engineering Speed Strategy 
Dynatrace
MAY 23, 2024
Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. We designed experimental scenarios inspired by chaos engineering.
Dynatrace
FEBRUARY 24, 2021
Cloud-native environments bring speed and agility to software development and operations (DevOps) practices. But with that speed and agility comes new complications and complexity, all while maintaining performance and reliability with less than 1% down-time per year. SRE as an application of DevOps. SRE vs DevOps?
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The Netflix TechBlog
NOVEMBER 9, 2021
To achieve this goal, the Encoding Technologies team made the following design decisions about AV1 encoding recipes: We always encode at the highest available source resolution and frame rate. With multiple iterations, the team arrived at a recipe that significantly speeds up the encoding with negligible compression efficiency changes.
Dynatrace
JANUARY 18, 2023
However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging. According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year.
Dynatrace
JANUARY 23, 2024
Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. Platform engineering: Empowering key Kubernetes use cases with Dynatrace – blog Digital transformation continues surging forward.
Strategic Tech
JANUARY 22, 2024
Typically, there’s a period where modernization is discussed as the pains of legacy systems and/or ways of working are noticed and become ever more prominent, blocking the business strategy. Some companies talk about modernizing for years before they make a serious commitment. We informally call this the Noticing stage.
Strategic Tech
FEBRUARY 16, 2022
This can become delicate when the mindsets of each teams are optimising for different things, most commonly speed vs reliability. Engineering for Speed and Reliability It shouldn’t be treated as a law that teams will clash when there is a dependency between their products, even if there is a big difference in mindset.
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