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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as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.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

A related point: the rise of the serverless paradigm coincides with what we’ve referred to elsewhere as “ Next Architecture.” The results in Figure 12 reflect what we know of the cloud market and mirror what we found in our cloud native survey from earlier in 2019. Custom tooling” ranked No. 1 in tools used.

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What is Serverless Architecture?

cdemi

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. Serverless can be achieved on Clouds. On Public Clouds: Microsoft: Azure Functions. Disadvantages.

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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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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. Still cloud-y, but with a possibility of migration. Trends in software architecture, infrastructure, and operations.

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Revisiting “Serverless Architectures”

The Symphonia

Fast forward to two years later and the article has had more than half a million visits, regularly appears in the top five Google search results for “Serverless”, and helped launched Symphonia ?—?my Lambda and Azure functions both now offer some amount of local-integration testing. but I didn’t realize quite how wide.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

Cloud-based data warehouses, such as Snowflake , AWS’ portfolio of databases like RDS, Redshift or Aurora , or an S3-based data lake , are a great match to ML use cases since they tend to be much more scalable than traditional databases, both in terms of the data set sizes as well as query patterns. Software Development Layers.

DevOps 138