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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as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.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 246
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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 144
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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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10 talks to look for at the 2018 O'Reilly Software Architecture Conference in London

O'Reilly Software

From chaos architecture to event streaming to leading teams, the O'Reilly Software Architecture Conference offers a unique depth and breadth of content. We received more than 200 abstracts for talks for the 2018 O'Reilly Software Architecture Conference in London—on both expected and surprising topics.

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Questions for 2024

O'Reilly

I doubt that we’ll see strikes at major technology companies like Google and Amazon—but we’ve already seen a union at Bandcamp. Simpler, Please Kubernetes : Everyone (well, almost everyone) is using Kubernetes to orchestrate large applications that are running in the cloud. Which will win out? Organized labor: Unions are back.

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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 145
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The Real Problem with Software Development

O'Reilly

Some of that evolution is driven by an increasingly complex world that requires attention to secure programming, cloud deployment, and other issues that didn’t exist a few decades ago. Software architecture is a distinct specialty that has only become more important over time. That brings me to my main point.

Software 140