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Debezium

Cost Optimization Techniques and Tools for Existing DynamoDB Workloads

Cost Optimization Techniques and Tools for Existing DynamoDB Workloads

As your application needs grow and scale, you want to focus on innovation and not pay for increasing costs. By building modern applications with AWS purpose-built databases, you can take control to optimize your spending. Customers using Amazon DynamoDB, a fully managed, serverless, key-value NoSQL database, can run high-performance applications […]

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What Is Debezium?

What Is Debezium?

Debezium is an open-source distributed platform for change data capture (CDC). It provides a scalable and reliable way to capture and stream changes from databases (such as MySQL, PostgreSQL, and MongoDB) to event streams in Apache Kafka. Debezium can track changes to data in real-time, making that data available for […]

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Mac OS: xcrun: error: invalid active developer path, missing xcrun

MacOS

Git, make ya da gcc kullanımı sırasında xcrun hatası alabiliyoruz.  Ben düzgün bir dokümantasyon bulamadım.   GCC işleminde hata alıyordum. Çözmek için çok debelendim 🙂 MacOS üzerinde yazılım geliştirmenin çekirdeği Xcode üzerine kuruludur.   xcrun: error: invalid active developer path (/Library/Developer/CommandLineTools), missing xcrun at: /Library/Developer/CommandLineTools/usr/bin/xcrun Bu sorun Xcode temellidir.   […]

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Streaming Now: Debezium 1.0 Final Is Out

Streaming Now: Debezium 1.0 Final Is Out

Debezium is an open-source distributed platform that turns your existing databases into event streams so that applications can see and respond almost instantly to each committed row-level change in the databases. Debezium is built on top of Kafka and provides Kafka Connect compatible connectors that monitor specific database management systems. Debezium records the history […]

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Streaming Database Changes with Debezium by Gunnar Morling

Streaming Database Changes with Debezium by Gunnar Morling

“Debezium (noun | de·be·zi·um | /dɪ:ˈbɪ:ziːəm/) – secret ingredient for change data capture” Updating caches and full-text indexes, synchronizing data between microservices, maintaining different read models in a CRQS-style architecture, and feeding operational data to your analytics tools — just a few use cases which benefit so much from streaming […]

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