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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. This creates latency when they need to restart.

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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 305
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Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

To illustrate how Akamas approach works for Kubernetes microservices applications the webinar, the example of Google Online Boutique is used during the webinar. During the webinar, we demonstrated how, in about 24 hours, Akamas was able to automatically identify the best configuration that improved the cost efficiency by 77%.

Latency 246
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Site reliability engineering: 5 things you need to know

Dynatrace

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

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Site reliability engineering: 5 things to you need to know

Dynatrace

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. ” According to Google, “SRE is what you get when you treat operations as a software problem.”

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SRE vs DevOps: What you need to know

Dynatrace

As Google’s Ben Treynor explains , “Fundamentally, it’s what happens when you ask a software engineer to design an operations function.” As Google explains , both SRE and DevOps require teams to: Understand that change is necessary for improvement. Reduced latency. Efficiency. SRE vs DevOps?

DevOps 268
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Higher latency and cold start issues due to the initialization time of the functions. Sign up for a free trial.