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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 205
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What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130
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Mastering Kubernetes with Dynatrace

Dynatrace

And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Similarly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. OneAgent and its Operator . Digital Business Analytics.

Analytics 237
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What is container orchestration?

Dynatrace

This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles. Docker containers can share an underlying operating system kernel, resulting in a lighter weight, speedier way to build, maintain, and port application services.

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Mastering Kubernetes with Dynatrace

Dynatrace

Similar ly, integrations for Azure and VMware are available to help you monitor your infrastructure both in the cloud and on-premises. . OneAgent and its Operator . Dynatrace supports full-stack monitoring from the application to the operating system layer using OneAgent. Digital Business Analytics.

Analytics 134
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What Is a Workload in Cloud Computing

Scalegrid

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Storage is a critical aspect to consider when working with cloud workloads.

Cloud 130
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Automate complex metric-related use cases with the Metrics API version 2

Dynatrace

Besides all the metrics that originate from your hosts, Dynatrace also collects all the important key performance metrics for services and real-user monitored applications as well as cloud platform metrics from AWS, Azure, and Cloud Foundry. The Metrics API v2 is the first v2 API available in Dynatrace.

Metrics 224