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What are microservices? An agile architecture for software development

Dynatrace

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. DevOps teams need a solution that puts automation and observability at the forefront of microservices management. Watch webinar now! Test early and often using multiple methods.

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What are microservices? An agile architecture for software development

Dynatrace

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. DevOps teams need a solution that puts automation and observability at the forefront of microservices management. Watch webinar now! Test early and often using multiple methods.

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What is Google Cloud Functions?

Dynatrace

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. Google Cloud Functions is a serverless compute service for creating and launching microservices. Watch webinar now!

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4 steps to modernize your IT service operations with Dynatrace

Dynatrace

In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. We came up with list of four key questions, then answered and demoed in our recent webinar.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

A microservices approach enables DevOps teams to develop an application as a suite of small services. One team may build it, but three separate DevOps and IT teams must maintain it. Serverless platforms. It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. API gateways.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

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What is observability? Not just logs, metrics and traces

Dynatrace

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. Watch webinar now! These actionable insights drive the faster and more accurate responses that DevOps and SRE teams require. But what is observability?

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