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How to overcome the cloud observability wall

Dynatrace

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 223
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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

Respondents who have implemented serverless made custom tooling the top tool choice—implying that vendors’ tools may not fully address what organizations need to deploy and manage a serverless infrastructure. A related point: the rise of the serverless paradigm coincides with what we’ve referred to elsewhere as “ Next Architecture.”

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What is Serverless Architecture?

cdemi

Rapid Development - You can quickly deploy a function without having to worry about infrastructure resources and growth. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Azure Functions don't have this restriction, but on AWS Lambda, functions are not allowed to run for longer than 5 minutes.

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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. Also: infrastructure and operations is trending up, while DevOps is trending down. Coincidence?

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Cloud Adoption in 2020

O'Reilly

O’Reilly Learning > We wanted to discover what our readers were doing with cloud, microservices, and other critical infrastructure and operations technologies. Without further ado, here are the key results: • At first glance, cloud usage seems overwhelming. More than half of respondents use multiple cloud services. •

Cloud 141
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MLOps and DevOps: Why Data Makes It Different

O'Reilly

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. What: The Modern Stack of ML Infrastructure. Adapted from the book Effective Data Science Infrastructure. Foundational Infrastructure Layers.

DevOps 138