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The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

Enforce fine-grained policy control across your data infrastructure

In this video, Dewan and Peter help Rapu, a fictional crab, to be successful in his first few weeks as a junior DevOps engineer. They cover how open policy agent (OPA) can be used together with Terraform to enforce fine-grained policy control across a data infrastructure.

Revolutionizing Homework with Technological Innovations: The Future of Learning

Hey there! Are you tired of the same old homework routine? Well, get ready to be blown away because the future of learning is here, and it's all about revolutionizing homework with technological innovations! Imagine a world where assignments are interactive, personalized, and captivating.

SigNoz - Open-source alternative to Dynatrace

If you're looking for an open-source alternative to Dynatrace, then you're at the right place. SigNoz is a perfect open-source alternative to Dynatrace. SigNoz provides a unified UI for metrics, traces and logs with advanced tagging and filtering capabilities. In today's digital economy, more and more companies are shifting to cloud-native and microservice architecture to support global scale and distributed teams.

Monetizing APIs: Strategies and Considerations

We all know what Android and iOS look like. Most of us have our favorite social media platform. A game we play when we're bored. All of these have distinct (and hopefully very straightforward) user interfaces. Behind all of them a set of connections and integrations we never get to see. Still, each time you send a mobile payment, order a meal, or use a rideshare app - you're relying on it to do the hard work.

Strategies For Ensuring Your HVAC System Is Budget-Friendly

Companies often consult their budgets when making big decisions. Even operations that require very little initial spending can eventually affect a firm's finances. That oversight creates confidence, allowing businesses to put their best foot forward. Indeed, firms regularly look ahead to the future and passionately look for prospects and potential. However, they might sometimes miss points of concern that can be under their very nose, especially regarding the nuances of balancing the books.

Kubeflow vs MLFlow: which one to choose?

Data scientists and machine learning engineers are often looking for tools that could ease their work. Kubeflow and MLFlow are two of the most popular open-source tools in the machine learning operations (MLOps) space. They are often considered when kickstarting a new AI/ML initiative, so comparisons between them are not surprising. This blog covers a very controversial topic, answering a question that many people from the industry have: Kubeflow vs MLFlow: Which one is better?

Open Source MLOps on AWS

With the rise of generative AI, enterprises are growing their AI budgets, looking for options to quickly set up the infrastructure and run the entire machine learning cycle. Cloud providers like AWS are often preferred to kick-start AI/ML projects as they offer the computing power to experiment without long-term commitments. Starting on the cloud takes away the burden of computing power, reducing start-up time and cost and allowing teams to iterate more quickly.