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Network performance monitoring top of mind for CloudOps teams

Dynatrace

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. If the network is sluggish, an application may also be slow, frustrating users. Worse, a malicious attacker may gain access to the network, compromising sensitive application data.

Network 215
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What is function as a service? App development gets FaaS and furious

Dynatrace

FaaS enables developers to create and run a single function in the cloud using a serverless compute model. FaaS vs. monolithic architectures. Monolithic architectures were commonplace with legacy, on-premises software solutions. Infrastructure as a service (IaaS) handles compute, storage, and network resources.

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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Teams have introduced workarounds to reduce storage costs.

Analytics 234
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How to overcome the cloud observability wall

Dynatrace

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.”

Cloud 226
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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

Continuous cloud monitoring with automation provides clear visibility into the performance and availability of websites, files, applications, servers, and network resources. This type of monitoring tracks metrics and insights on server CPU, memory, and network health, as well as hosts, containers, and serverless functions.

Cloud 222
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Building an elastic query engine on disaggregated storage

The Morning Paper

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. For such workloads, shared-nothing architectures beget high cost, inflexibility, poor performance, and inefficiency, which hurts production applications and cluster deployments. joins) during query processing. Disaggregation (or not).

Storage 112
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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

Today’s digital businesses run on heterogeneous and highly dynamic architectures with interconnected applications and microservices deployed via Kubernetes and other cloud-native platforms. Common questions include: Where do bottlenecks occur in our architecture? Dynatrace news. How can we optimize for performance and scalability?

Analytics 246