Azure Code Lambda Scalability 
Dynatrace
AUGUST 17, 2021
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Dynatrace news.
Dynatrace
AUGUST 17, 2021
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Dynatrace news.
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Dynatrace
AUGUST 11, 2022
Before an organization moves to function as a service, it’s important to understand how it works, its benefits and challenges, its effect on scalability, and why cloud-native observability is essential for attaining peak performance. How does function as a service affect scalability? What is FaaS?
Dynatrace
OCTOBER 10, 2022
Many organizations today rely on cloud-native applications for their scalability and agility, among other benefits. Popular examples include AWS Lambda and Microsoft Azure Functions , but new providers are constantly emerging as this model becomes more mainstream. Serverless benefits include the following: Dynamic scalability.
Dynatrace
NOVEMBER 17, 2020
Technical complexity has shifted from the actual code to the interdependencies between services. In 2006, Dynatrace released the first production-ready solution for distributed tracing with code-level insights. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes.
Dynatrace
OCTOBER 11, 2021
In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. Scalability is a major feature of GCF. Pay only for accumulated usage. GCF use cases.
Dynatrace
JULY 7, 2022
One large team generally maintains the source code in a centralized repository that’s visible to all engineers, who commit their code in a single build. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Common problems with monolithic architecture.
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