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MLOps and DevOps: Why Data Makes It Different

O'Reilly

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. Can’t we just fold it into existing DevOps best practices?

DevOps 137
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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

According to IDC, the requirement of the digital economy to deliver high-quality applications at the speed of business has driven a shift to highly modular, distributed, and continuously updated microservices-based architectures that use cloud-native technologies. Hard on DevOps. Limited because of a single programming language.

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5 key areas for tech leaders to watch in 2020

O'Reilly

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. Software architecture, infrastructure, and operations are each changing rapidly. Software architecture, infrastructure, and operations are each changing rapidly. In programming, Python is preeminent.

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

Dynatrace

Leaders should consider the following when creating end-to-end security architecture to support data security: Non-root mode Automatic signature verification Automatic (and manual as needed) updates Automatic authentication of the environment Plank also noted secure access for data, using single sign-on and IP-based access restrictions.

Design 201
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Reflections from a Year of Project to Product

Tasktop

Helping Agile and DevOps transformations involving thousands or tens of thousands of IT staff turned out to be much, much harder. To our mutual amusement, we came up with the idea of the “lunch factor” — the number of people you need to take to lunch to get an important change made to the software architecture.

DevOps 45
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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

DevOps and serverless seem a natural match, so it’s no surprise to see DevOps teams as the top choice among respondents for managing serverless implementations. Deploying containerized services on serverless architectures and orchestrating those services with Kubernetes fits into existing DeOps practices. Concluding thoughts.

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The Unicorn Project Review: Finding Flow with the Five Ideals 

Tasktop

If you are not familiar with the functional programming or data storage concepts that come up, talk to one of your developers who do. However, architectures have typically evolved around technology stacks and internal company silos. This is the journey to locality and simplicity across your software architecture and your organization.