Build a CI/CD pipeline for Flask apps using GitHub Actions
Get up and running with automated testing and deployment of your Flask app using GitHub Actions and Heroku.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Marketing and advertising data extraction made easy
Watch this video for a brief explanation of how to get all your ad campaign analytics data out of your ad platforms and see it all in one place without any coding, API extraction, or manually compiling data. Stitch partners with the most common ad platforms to help move your data from sources like Google Ads, Linkedin Ads, Facebook Ads including Instagram, TikTok for Business, Snapchat Ads, Adroll, Microisoft Bing Ads, and more into any data warehouse or data lake.
5 apps that reached Mobile DevOps maturity
We launched the Mobile DevOps Assessment, then shared the results. Now it’s time to look at 5 apps, like Reddit and Wise, that reached Mobile DevOps maturity and the metrics that helped them get there.
Top 11 Data Ingestion Tools for 2023
Data ingestion is an important component of any successful data initiative. It refers to the process of collecting data from multiple sources and loading it into another system. Businesses most commonly use a subtype of data ingestion called ETL (extract, transform, load), which allows the data to be transformed before it's loaded. This extra step provides many benefits. Most importantly, it allows organizations to automatically match and correlate data from a variety of different sources.
Hyperautomation vs. Intelligent Automation: The Difference, Explained
Businesses today know that operational efficiency, effectiveness, and productivity are keys to competitive advantage. And process automation tools are being adopted more and more because they help IT and business leaders turn those goals into reality. If you’ve spent time researching ways to boost efficiency by taking advantage of automation opportunities, you’ve likely come across the related terms hyperautomation (which is synonymous with process automation) and intelligent automation.
Launch partnership: Fivetran and Snowflake accelerate manufacturing insights
Accelerate the extraction, loading, storing and transformation of data — including data from SAP systems — for faster, richer manufacturing insights.
What is Parallel Testing? An Introduction to Parallel Testing
Learn why parallel testing is a powerful tool for development teams to have in their automated testing strategy.
The Snowflake Manufacturing Data Cloud
Introducing the Snowflake Manufacturing Data Cloud, a global network that connects manufacturers to the data, applications, and services needed to enable industrial use cases at scale. Bridging the divide between IT and OT systems, identifying upstream and downstream risks, managing costs down while increasing production and quality, the Manufacturing Data Cloud offers a way to consolidate, analyze, and democratize data generated across an enterprise, from the factory floor to the ends of the supply chain.
Unlock Business Value with the New Snowflake Manufacturing Data Cloud
Manufacturers today are implementing a range of new technologies to increase operational efficiency and create visibility and flexibility across value chains. These include robotics, automation, data analytics, IoT, and artificial intelligence (AI) and machine learning (ML), according to Deloitte. Company leaders hope these innovations will help them create more productive and resilient supply chains, improve production quality and efficiency, and mitigate risks.
Tzag Elita and ClearML: Powering the Future of AI Workflows
The world of artificial intelligence and machine learning is constantly evolving, with new challenges and innovations emerging every day. Tzag Elita is a leading provider of HPC and AI solutions in Israel, and understands the importance of staying ahead of the curve and delivering cutting-edge solutions to their customers. That’s why ClearML is excited to announce our partnership with Tzag Elita.