ClearML-Data
This video covers clearml-data tool, which is meant to help you version control, share and manage your different datasets. It integrates seamlessly in the existing clearml ecosystem, so a lot of terms will feel familiar!
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
From AutoML to AutoMLOps: Automated Logging & Tracking of ML - MLOps Live #19
In this session of the MLOps Live Webinar series, we discuss building services with ML baked-in, that continuously deliver bottom-line business value, by embracing AutoMLOps. AutoMLOps means automating engineering tasks so that your code is automatically ready for production. In this session, we outline the challenges, describe open-source tools available for Auto-MLOps, and finish off with a live demo.
How to use Flutter with Google Sheets, Apps Script, and Codemagic
Mark has been tracking his company expenses using Google Sheets for the past six months. Lately, it has been difficult to keep up with tracking expenses using the current method. He wants to ease the process for himself and his staff, but it’s necessary for him to use Google Sheets. What should he do? Mark decides to build an interface that can communicate with Google Sheets.
[MLOPS] From experiment management to model serving and back. A complete usecase, step-by-step!
The recording of our talk at the MLOps World summit. This talk covers a complete example, starting from experiment management and data versioning, building up into a pipeline and finally deploying using ClearML serving with drift monitoring. We then induce artifical drift to trigger the monitoring alerts and go back down the chain to quickly retrain a model and deploy it using canary deployment.
4 common Android DevOps challenges and how to solve them
In this article, we’ll be sharing some of Google Dev Expert Peter-John (PJ) Welcome’s thoughts on Android DevOps challenges and also get a glimpse into his personal roadmap for mobile success.
Build an AI App in Under 20 Minutes
Machine learning is more accessible than ever, with datasets available online and Jupyter notebooks providing an easy way to explore and train models. In building a model, we often forget that it will be incorporated into an application that will provide value to the user. Therefore, we wanted to demonstrate how we can "use" the models we build in an application.
How MOSIP Uses Ballerina WebSubHub for Event-Driven Integration
Ballerina is an open source programming language for the cloud that makes it easier to use, combine and create network services. In addition to the powerful language features, it comes with a rich standard library, which covers network data, messaging and communication protocols.
Kafka best practices: Monitoring and optimizing the performance of Kafka applications
Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Administrators, developers, and data engineers who use Kafka clusters struggle to understand what is happening in their Kafka implementations.
How to use Mobile DevOps to level up your team's mobile skills
In an episode of our Mobile DevOps is a thing! podcast, we talked to Swift developer John Sundell about Mobile DevOps and his consultancy services, among other things.
Our top 5 takeaways from the mobile team at Vestiaire Collective
What are the best practices of the mobile team behind one of the world’s leading buy-and-sell platforms for improving productivity and the developer experience? Read on for the five main learnings from our recent customer story.