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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. Organizations usually implement observability using a combination of instrumentation methods including open-source instrumentation tools, such as OpenTelemetry.

Metrics 363
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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 227
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What are microservices? An agile architecture for software development

Dynatrace

On the deployment side, smaller teams can launch services much faster using flexible containerized environments like Kubernetes or serverless functions like AWS Lambda, Google Cloud Functions, and Azure Functions. Manually pulling metrics from a managed system like Kubernetes can be laborious. Watch webinar now! Cultural shift.

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What are microservices? An agile architecture for software development

Dynatrace

On the deployment side, smaller teams can launch services much faster using flexible containerized environments like Kubernetes or serverless functions like AWS Lambda, Google Cloud Functions, and Azure Functions. Manually pulling metrics from a managed system like Kubernetes can be laborious. Watch webinar now! Cultural shift.

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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. API gateways.

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Reducing PostgreSQL Costs in the Cloud

Percona

Let’s take a look at how to get the benefits you need while spending less, based on the recommendations presented by Dani Guzmán Burgos, our Percona Monitoring and Management (PMM) Tech Lead, on this webinar (now available on demand) hosted in November last year. Configuration of the CPU metrics can be changed in the dashboard.

Cloud 116
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Observability platform vs. observability tools

Dynatrace

Observability is made up of three key pillars: metrics, logs, and traces. Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Observability tools, such as metrics monitoring, log viewers, and tracing applications, are relatively small in scope.