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What is Serverless Architecture?

cdemi

Serverless systems are still in their infancy. There will be many advances in the field over the coming years and it will be fascinating to see how they fit into our architectural toolkit. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. On Public Clouds: Microsoft: Azure Functions.

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Design Patterns: Queue-Based Load Leveling Pattern

cdemi

Azure Service Bus - The Go-To choice if you're already on Azure, High Throughput, Predictable Performance, Predictable Pricing, Secure, Scalable on Demand. Apache Kafka - High-Throughput, Low-Latency, Uses Apache ZooKeeper for Distribution, Written in Scala and Java.

Design 47
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5 key areas for tech leaders to watch in 2020

O'Reilly

Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Trends in software architecture, infrastructure, and operations.

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Data privacy by design: How an observability platform protects data security

Dynatrace

When organizations focus on data privacy by design, they build security considerations into cloud systems upfront rather than as a bolt-on consideration. The underlying software architecture that supports all this data must be secure, as well. “We have you covered there,” he explained.

Design 185
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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 220
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Cloud Adoption in 2020

O'Reilly

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. Software engineers represent the largest cohort, comprising almost 20% of all respondents (see Figure 1 ). Take observability , for example.

Cloud 141
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MLOps and DevOps: Why Data Makes It Different

O'Reilly

The applications must be integrated to the surrounding business systems so ideas can be tested and validated in the real world in a controlled manner. Today, a number of cloud-based, auto-scaling systems are easily available, such as AWS Batch. There are countless systems that can perform this task for small DAGs on a single server.

DevOps 140