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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

End-to-end code-level tracing. PostgreSQL & Elastic for data storage. Dynatrace’s PurePath technology brings us automatic end-to-end code level tracing without having to modify any code or configuration. Full-stack observability. Service mash insights. Cluster and container Log Analytics. End-user monitoring.

AWS 130
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AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

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Lerner?—?using RL agents for test case scheduling

The Netflix TechBlog

When code many test cases are dependent on has changed, choose the right test cases among thousands of affected tests to quickly validate the change before committing it and running extensive, and expensive, tests. The data can be truncated after each execution and offloaded to a long-term storage for further analysis.

Testing 164
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In-Stream Big Data Processing

Highly Scalable

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Interoperability with Hadoop.

Big Data 154
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Seamless AI-powered observability for multicloud serverless applications

Dynatrace

Cloud vendors such as Amazon Web Services (AWS), Microsoft, and Google provide a wide spectrum of serverless services for compute and event-driven workloads, databases, storage, messaging, and other purposes. Easy and effortless FaaS insights with a single line of code. Dynatrace news.

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A one size fits all database doesn't fit anyone

All Things Distributed

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167
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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. GCF also enables teams to run custom-written code to connect multiple services in Node, Python, Go, Java,NET, Ruby, and PHP.

Google 239