📹 We just released the first lesson in our new Learn Vitess series. This course covers: - Vitess architecture - Sharding with Vitess - Vitess on Kubernetes - Plus more Stay tuned for the next lesson coming this week! https://lnkd.in/gCUgXVxA
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Great article about how short term conveniences could have a bad impact in a short notice. Always have backup plans. Proprietary means you are locked in and if the vendor shuts down, you are in trouble. At the very least, maintain a layered architecture so that you can move from one vendor to another with as less complexity as possible. https://lnkd.in/g8_vjxZi
Database as a Service: The Hidden Cost of Convenience
https://thenewstack.io
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You've probably heard about lakehouse architectures, but what does this actually refer to? How did it come about and why? Check out my blog for a brief introduction to the lakehouse architecture and Apache Iceberg, a table format, that enables such a platform. https://lnkd.in/eivqx_uB
Introduction to the Lakehouse architecture and Apache Iceberg
nstarc.co.uk
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Check out this excellent blog post that highlights the differences between Apache Iceberg and Delta Lake. The post also provides a comprehensive overview of Apache Iceberg's architecture. https://lnkd.in/dQa4BXJd #ApacheIceberg #DeltaLake #DataArchitecture
Apache Iceberg vs Delta Lake: What’s are the Differences?
https://www.starburst.io
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Here it is! My next article is on Hazelcast MultiMap. It took me a little more time than expected. However, the good part is that I have also briefly covered the design aspect of building a scalable solution. P.S. People ask me why so much focus on Hazelcast. Frankly, I don't know, I just love how simple yet powerful it is. #hazelcast #distributedsystems #architecture #microservices
Exploring Hazelcast MultiMap for Scalable Solutions
https://kamlesh-kumar.com
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Always important to read implementations and architecture challenges from others: https://lnkd.in/dthsvSuG
How Pinterest runs Kafka at scale
medium.com
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One of the best paper I have ever read. Concepts like aggregators, event driven architecture, single write, are all there, but in a much generic way. Worth to study in details. https://lnkd.in/dcV38TDB
Life Beyond Distributed Transactions
queue.acm.org
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In the latest installment of our "Beyond the Hype" series, Justin Emerson delves into the nuances of the modern storage system architectures. Oversimplified categorizations using terms like "shared-nothing" and "shared-everything" fall short in capturing the full picture. Justin emphasizes the importance of taking a nuanced approach based on how systems handle write operations. While architecture is crucial, it's essential to prioritize customer outcomes and user experience in evaluating storage solutions. Stay tuned for more insightful content in our "Beyond the Hype" series. #storage #architecture #userexperience #customeroutcomes
The Storage Architecture Spectrum: Why “Shared-nothing” Means Nothing
https://blog.purestorage.com
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There have been many posts recently about the need for “modular” SIEMs. This blog came out September 1, 2020 explaining the rationale of making Panther’s datalake “open”. The notion of interoperability is nothing new to Panther. Pather’s architecture, past, present and future is centered around playing well with others. https://lnkd.in/eXAf_sVx
Why Panther Chose to Open Up Its Security Data Lake | Panther Labs
panther.com
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One important thing to master as a developer today is caching. Here's a post on the basics: #cache #architecture #fastly
Mastering Caching Layers
viktornilsson.github.io
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Given the current popularity of modular monoliths in system architecture, I decided to take an excellent course by Steve “ardalis” Smith ✔ on Modular Monoliths (highly recommend both the Getting Started and Deep Dive courses). After completing the course, I began experimenting with building a production-ready project. However, I encountered some issues when trying to expose endpoints that only contain information from their respective domains to an external consumer. The consumer had to use all the endpoints and combine the domains, which was problematic. I thought, "Should I build an API gateway? How would it work with a modular monolith? What pattern should I use? Could it create performance issues?" So, I decided to email Steve directly. His response was so insightful that he decided to create a blog post based on it. Here's the link to the blog post:
Effectively Sharing Resources Between Modules in a Modular Monolith
ardalis.com
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