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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

AWS Lambda is enormously popular amongst our customers and while it was once perceived as just a new toy for startups who wanted to be at the cutting edge of technology, we’ve seen that many enterprise customers are now adding Lambda functions to their stacks. Enterprise-grade observability and root-cause detection for AWS Lambda functions.

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Common use-cases for AWS Lambda in the enterprise (and how to get observability for them)

Dynatrace

AWS Lambda is enormously popular amongst our customers and while it was once perceived as just a new toy for startups who wanted to be at the cutting edge of technology, we’ve seen that many enterprise customers are now adding Lambda functions to their stacks. Enterprise-grade observability and root-cause detection for AWS Lambda functions.

Lambda 188
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A look behind the scenes of AWS Lambda and our new Lambda monitoring extension

Dynatrace

Since its introduction by AWS in 2014, AWS Lambda has revolutionized the compute space and boosted the entire serverless movement. This extension was built from scratch to take into account all we’ve learned and the special requirements for monitoring ephemeral, auto-scaling, micro VMs like AWS Lambda. Dynatrace news.

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The Speed of Time

Brendan Gregg

CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). Aftermath I provided details to AWS and Canonical, and then moved onto the other performance issues as part of the migration. include <sys/time.h>

Speed 126
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The top 5 reasons to run your own database benchmarks

HammerDB

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

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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. This applies to both virtual machines and container-based deployments.

Cloud 130
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How to Assess MySQL Performance

HammerDB

Regardless of whether the computing platform to be evaluated is on-prem, containerized, virtualized, or in the cloud, it is crucial to consider several essential factors. For example, if you are buying the latest Amazon memory-optimized EC2 instance (R7iz), the AWS page ( [link] ) tells us the following: Up to 3.9 4.22 %usr 38.40