In today’s data-driven world, the choice of data storage solution is crucial for businesses of all sizes. Microsoft SharePoint and Azure Blob Storage are two powerful services that cater to the diverse needs of storing, managing, and accessing data. But with different pricing models and features, deciding which service offers better value for money can be challenging. This post explores the cost structures of SharePoint and Azure Blob Storage to help you make an informed decision.

We are pleased to announce that we have released a new feature that allows you to collect Heroku Router metrics by path! By default, this option will not be enabled as it will increase your number of total metrics. If no action is taken, you will continue to receive your Router metrics in the default format. This provides a good overview of your application’s total connection times, requests by method/status, etc.

Imagine a data engineer working for a large e-commerce company tasked with building a system that can process and analyze customer clickstream data in real-time. By leveraging Amazon Kinesis and InfluxDB, they can achieve this goal efficiently and effectively. So, how do we get from idea to finished solution? First, we need to understand the tools at hand.

Infrastructure optimization is the missing piece in your Internal Developer Platform (IDP) resource plane. Here’s how it can help your IDP make an impact, and ideas on how to weave it into your architecture.

Every time I share a project using SaaS tools, someone inevitably responds that they could do the same thing on their own home server ‘for free.’ I mention this not because it is annoying, since I would never go on social media at all if annoying responses were allowed to change my behavior, but because I think it points to a basic misconception that still affects DevOps practitioners today: the refusal to accurately estimate the real costs of self-managed solutions.

MongoDB’s flexibility and document-oriented nature have always stood out to me as its most compelling features, setting it apart from the strict schema constraints of traditional relational databases. This adaptability is a boon for application development, allowing for more dynamic data interactions that mirror real-world information complexities and freeing table schemas’ constraints.

What could go wrong with your Azure environment? Netflix gave the world two beautiful gifts: a media streaming platform for the general public and a wonderful monkey for the tech community. Enough has been said about the media streaming part, so let's play (or work) with the monkey now. When Netflix let the world know about Chaos Monkey, the tech community took a minute to stand and applaud. Since then, it has been a standard to unleash intentional chaos just to see how robust our tech stacks really are.