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The keys to selecting a platform for end-to-end observability

Dynatrace

Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. Get to the root cause of issues Most AI today uses machine learning models like neural networks that find correlations and make predictions based on them.

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Observe syslog with Dynatrace ActiveGate, a secure, trusted edge component

Dynatrace

These include traditional on-premises network devices and servers for infrastructure applications like databases, websites, or email. You also might be required to capture syslog messages from cloud services on AWS, Azure, and Google Cloud related to resource provisioning, scaling, and security events.

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Kubernetes vs Docker: What’s the difference?

Dynatrace

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. Just as people use Xerox as shorthand for paper copies and say “Google” instead of internet search, Docker has become synonymous with containers. Networking.

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OpenShift vs. Kubernetes: Understanding the differences

Dynatrace

According to the Kubernetes in the Wild 2023 report, “Kubernetes is emerging as the operating system of the cloud.” ” In recent years, cloud service providers such as Amazon Web Services, Microsoft Azure, IBM, and Google began offering Kubernetes as part of their managed services. Networking. Ease of use.

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What are microservices? An agile architecture for software development

Dynatrace

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Simple network calls. Potential for decreased reliability.

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What are microservices? An agile architecture for software development

Dynatrace

Microservices are run using container-based orchestration platforms like Kubernetes and Docker or cloud-native function-as-a-service (FaaS) offerings like AWS Lambda, Azure Functions, and Google Cloud Functions, all of which help automate the process of managing microservices. Simple network calls. Potential for decreased reliability.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

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