MongoDB – What Is It and When Should I Use It?

MongoDB - What Is It and When Should I Use It?

Always wondered what a NoSQL database and specifically MongoDB is? Then you are exactly right here. In the following, we will explain the strengths and weaknesses of NoSQL databases. You will learn when it makes sense to use such a database and when it makes sense to stick with a more classical and historically known database. To round it all off, we have created an example app with Go that takes a JSON string, stores it in a MongoDB database, and reads the created object from the database again.

In this article, we are going to present the NoSQL database, using MongoDB as a reference. We’ll point out some strengths and weaknesses of NoSQL databases when it is of interest to use such a database and when you should stick with a more classical and historically known database. We will wrap this article up with a code snippet in Go.

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High Availability Cloud Data Management – How our Team masters the Data Service Challenge

Cloud Computing has changed the way applications are being developed and how services are being operated. The a9s Data Services team has always been part of this change by leveraging popular open-source data services and making them consumable on modern Application Developer Platforms, commonly known as Platform-as-a-Service (PaaS).

However, operating high availability data service clusters at scale comes with many challenges. Learn how our team of highly skilled professionals solves those challenges, so that companies can focus on their core business objectives rather than on operational overhead.

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Kubernetes Kills OpenStack

Kubernetes kills OpenStack - Julian Fischer

The article in German: DATACENTER INSIDER

Kubernetes gaining more and more momentum over the last few years, it appears to start stealing the thunder from other technologies. Hence, the question arises whether Kubernetes threatens the existence of OpenStack. 

Hereto: Julian Fischer, CEO of the  anynines GmbH, Berlin with his Insider’s viewpoint.

Beyond any doubt, OpenStack has its own problems anyway. Quite a few experts have underestimated the difficulty to transform any given data center into a modern virtualized infrastructure. Many of them failed for technical or financial reasons. Lack of either stability or economic efficiency are only two of manifold reasons why such enterprises may have been terminated at an early stage.

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