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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.

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Athenian gives you metrics about your engineering team without focusing on individuals

TechCrunch

When you start using the product, you first connect it to various data sources, such as GitHub, Jira and your CI/CD system. You can see the release frequency, the number of outstanding bugs and other metrics that help you get an overview. Athenian wanted to start over from scratch and focus on teams and events instead of individuals.

Metrics 206
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4 steps to connect change management and DevOps

CIO

By cross-training operations and engineering, development teams can move faster through better collaboration, making continuous integration and continuous delivery (CI/CD) a reality for organizations. This ensures the change will not introduce new issues or negatively impact existing systems.

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10+ Biggest DevOps Mistakes You Must Need to Avoid in 2023

OTS Solutions

Let us discuss Common mistakes in DevOps metrics: 1. Lack of Continuous Integration and Testing Continuous integration and testing are at the heart of DevOps. If you are not integrating code frequently and testing it rigorously, you risk merging incompatible changes and introducing bugs into your software.

DevOps 130
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How Developer Observability is Transforming Dev Role

Hacker Earth Developers Blog

Complex, distributed IT systems make it harder for us to glean meaningful data insights and resolve issues. Understanding Developer Observability Observability is defined as the ability to measure the current internal state of a system or application based on the data it outputs. Observability is central to this.

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Cloud Migration Will Disrupt Ops as You Know It

Xebia

For example, we have seen cases where the number of staff required to keep the systems running 24/7 dropped from six persons to just one. We have seen cases where the number of staff required to keep the systems running 24/7dropped from six persons to just one. Everything is defined and maintained in code.

Cloud 130
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Our book “Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture” is published!

Apiumhub

We are delighted to announce the release of our new book “ Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture ”. VYou app , for making me innovate and implement new software architecture metrics. He is a principal consultant, focused on sociotechnical systems. ” How did it all started?