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Microservices at Scale with Kubernetes and Istio
Sorry, but this articles is currently only available in German.
It looks like microservices have come to stay. However, the hoped-for benefits of more agile development, as well as improved maintainability and scaling of the individual components, have often not been achieved. The reason for this is in many aspects significantly increased complexity. To address this problem, at least on a technical level, Kubernetes and Istio postpone this complexity into the infrastructure.
It looks like microservices have come to stay. However, the hoped-for benefits of more agile development, as well as improved maintainability and scaling of the individual components, have often not been achieved. The reason for this is in many aspects significantly increased complexity. To address this problem, at least on a technical level, Kubernetes and Istio postpone this complexity into the infrastructure.
Neo4j graph databases in practice
Sorry, but this articles is currently only available in German.
New technologies always have to compete with what already exists. So what can graph databases do to relational databases? Neo4j is currently the most well-known representative among the graph databases and has been on everyone's lips since its successful use in the revelations of the Panama Papers.
New technologies always have to compete with what already exists. So what can graph databases do to relational databases? Neo4j is currently the most well-known representative among the graph databases and has been on everyone's lips since its successful use in the revelations of the Panama Papers.
A practical introduction to Neo4j
Sorry, but this articles is currently only available in German.
Almost every application uses one (or more) databases to persist data. The domain model is mapped to the database. Traditionally relational databases are used. There is accordingly a lot of experience with what strengths and weaknesses they have. In recent years, more than 200 databases have surfaced in the NoSQL area, including Neo4j, a graph database.
Almost every application uses one (or more) databases to persist data. The domain model is mapped to the database. Traditionally relational databases are used. There is accordingly a lot of experience with what strengths and weaknesses they have. In recent years, more than 200 databases have surfaced in the NoSQL area, including Neo4j, a graph database.