articles implementing-microservices-the-foundations 
The Netflix TechBlog
MARCH 7, 2024
Instead, we provide a robust foundational layer with integrations to our company-wide data, compute, and orchestration platform, as well as various paths to deploy applications to production smoothly. In this article, we cover a few key integrations that we provide for various layers of the Metaflow stack at Netflix, as illustrated above.
Dynatrace
FEBRUARY 23, 2022
Enshrining infrastructure in code provides a foundation for automation and testing—both of which are crucial for DevSecOps. That can be difficult when the business climate can prioritize speed. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. and 2.14.1.
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Dynatrace
JULY 13, 2020
The bold ones were building distributed architectures using SOA, trying to implement ESBs and this all looked good on paper but ended up being difficult to implement. . ? Containers and Microservices: R evolution in the architecture of distributed systems . ? Dynatrace news. But w hat is Kubernetes ? Cloud-native?
Dynatrace
JULY 13, 2020
The bold ones were building distributed architectures using SOA, trying to implement ESBs and this all looked good on paper but ended up being difficult to implement. . ? Containers and Microservices: R evolution in the architecture of distributed systems . ? Dynatrace news. But w hat is Kubernetes ? Cloud-native?
Dynatrace
AUGUST 7, 2023
They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. As cybersecurity teams look to identify malicious activity, the twin prongs of generative and causal AI provide a better foundation of quality data to identify and resolve security threats.
Scalegrid
JANUARY 12, 2024
This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. The underlying foundation of a workload within this environment is its ability to utilize computing resources and produce outputs based on given inputs.
O'Reilly
OCTOBER 19, 2021
In this article, we want to dig deeper into the fundamentals of machine learning as an engineering discipline and outline answers to key questions: Why does ML need special treatment in the first place? The new category is often called MLOps. However, the concept is quite abstract. Can’t we just fold it into existing DevOps best practices?
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