berkayozturk
Joined 7 years ago
Joined 7 years ago
Remote: Yes, but relocation is preferred.
Willing to relocate: Yes
Technologies: Python, Java, Scala, Javascript, SQL, Kafka, Spark, Flink, Beam, HDFS, Logstash, Avro, Parquet, Akka, Nomad, Docker, Kubernetes, GCP.
Résumé/CV: https://linkedin.com/in/berkayozturk
2 years of data engineering and machine learning experience in finance and e-commerce industries. Interested in data engineering and mlops.
Email: info (at) berkayozturk.net
I loved the article. Are you planning to write any guides/tutorials about reverse engineering games? Seems like you have a lot of practical experience. I (and probably many other people) would be really excited if you started writing about how you do all these in detail with practical examples. I would even be glad to pay for such content.
"Liftbridge was designed to bridge the gap between sophisticated but complex log-based messaging systems like Apache Kafka and Apache Pulsar and simpler, cloud-native solutions. There is no ZooKeeper or other unwieldy dependencies, no JVM, no complicated API or configuration, and client libraries are just gRPC. More importantly, Liftbridge aims to extend NATS with a durable, at-least-once delivery mechanism that upholds the NATS tenets of simplicity, performance, and scalability. Unlike NATS Streaming, it uses the core NATS protocol with optional extensions. This means it can be added to an existing NATS deployment to provide message durability with no code changes. The ultimate goal of Liftbridge is to provide a message-streaming solution with a focus on simplicity and usability."