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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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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. AWS provides a suite of technologies and serverless tools for running modern applications in the cloud. Here are a few of the most popular. Amazon EC2.

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What is infrastructure monitoring and why is it mission-critical in the new normal?

Dynatrace

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. This shift requires infrastructure monitoring to ensure all your components work together across applications, operating systems, storage, servers, virtualization, and more.

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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. A producer creates the message, and a consumer processes it.

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What is a message queue? How an observability platform eases message queue monitoring

Dynatrace

Consumers store messages in a queue — usually in a buffer or on a storage medium — until they can process and delete them. It provides a consistent platform that integrates with a variety of message queuing types to enable consistent performance regardless of the platform. A producer creates the message, and a consumer processes it.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 242
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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

How can we optimize for performance and scalability? Examples of specific domain knowledge where extended topology is used include the representation of concepts like Kubernetes or serverless functions in Dynatrace. Common questions include: Where do bottlenecks occur in our architecture? Does a certain issue impact a specific service?

Analytics 246