Systems | Development | Analytics | API | Testing

Data Theorem | Verified Steps on Bitrise

Data Theorem is a leading provider in modern application security with a core mission to analyze and secure any modern application anytime, anywhere. And guess what? You can find Data Theorem Mobile Secure in Bitrise's Step Library! While other security-focused Steps perform the security analysis during the build time — and making build times longer — this Step sends the artifact to Data Theorem. This way the build keeps running the regular way, regardless of the result of the analysis.

Verified Steps on Bitrise: Introduction

A Verified Step means that the owner of a service or tool or an open source team guarantees secure, maintained, consistent, and high-quality performance for any Bitrise user. Our official Bitrise Steps are maintained by us, whereas our Community Steps are maintained by the community. It’s easy to decide which type a Step falls into on our GUI. Thank you for watching! Please feel free to comment your thoughts below.

[MLOps] The Clear SHOW - S02E13 - mlops_this: Copilot Shenanigans

Ariel should have known better than to mess with shitposts on mlops.community ;) Here is a ClearML pipeline integrated with the notorious mlops_this generated by GitHub's Copilot. ClearML is the only open-source tool to manage all your MLOps in a unified and robust platform providing collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment.

Lenses magnified: Enhanced, secure, self-serve developer experience for Kafka

In our world of streaming applications, developers are forever climbing a steep learning curve to stay successful with technologies such as Apache Kafka. There is no end to the debt and the detail you need to manage when it comes to Kafka - and particularly since it doesn’t come with guardrails to help you out, the stakes for making mistakes are high.

[MLOps] The Clear SHOW - S02E12 - Goodbye Fig .1 [Sculley15]

Sometimes, even in a field as young and bustling, one has to say goodbye to an old friend. Today we bid adieu to Fig. 1 of D. Sculley et al., AKA "Hidden technical debt in Machine learning systems." Listen to Ariel Biller explaining what's going on and what are we going to use in lieu of Fig. 1

The Evolution of Appian Mobile: Then, Now, and Tomorrow

Enterprise mobile application development is a fundamental capability of the Appian Low-Code Automation Platform. Any application you build with Appian is instantly mobile-ready on all devices, without the additional hourly cost of using developer resources. With the flexibility of Appian Mobile, organizations can focus on creating native apps for a variety of use cases, such as completing field inspections or managing help desk tickets.