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What is observability? Not just logs, metrics and traces

Dynatrace

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363
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What is function as a service? App development gets FaaS and furious

Dynatrace

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?

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Monitoring Serverless Applications

Dotcom-Montior

Serverless. Well, to start, serverless, or serverless computing , doesn’t really mean there aren’t servers involved, because there are, rather it refers to the fact that the responsibility of having to manage, scale, provision, maintain, etc., Benefits of a Serverless Model. Benefits of a Serverless Model.

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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. What is Google Cloud Functions?

Google 211
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What are microservices? An agile architecture for software development

Dynatrace

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices architecture helps teams become more flexible and bring highly scalable apps to market faster. Manually pulling metrics from a managed system like Kubernetes can be laborious.

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What are microservices? An agile architecture for software development

Dynatrace

2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices architecture helps teams become more flexible and bring highly scalable apps to market faster. Manually pulling metrics from a managed system like Kubernetes can be laborious.

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Weighing a microservices approach means covering all architecture bases

Dynatrace

Smaller teams can launch services much faster using flexible containerized environments, such as Kubernetes, or serverless functions, such as AWS Lambda, Google Cloud Functions, and Azure Functions. Serverless platforms. Monitoring and alerting tools and protocols help simplify observability for all custom metrics.