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A Detailed Guide on Conducting Effective System Design Interviews

Hacker Earth Developers Blog

System design interviews are becoming increasingly popular, and important, as the digital systems we work with become more complex. The term ‘system’ here refers to any set of interdependent modules that work together for a common purpose. Uber, Instagram, and Twitter (now X) are all examples of ‘systems’.

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8 Steps to acing your next system design interview

Hacker Earth Developers Blog

System design can be a huge leap forward in your career both in terms of money and satisfaction you get from your job. But if your previous job was focused on working closely on one of the components of a system, it can be hard to switch to high-level thinking. Imagine switching from roofing to architectural design.

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8 Steps to acing your next system design interview

Hacker Earth Developers Blog

System design can be a huge leap forward in your career both in terms of money and satisfaction you get from your job. But if your previous job was focused on working closely on one of the components of a system, it can be hard to switch to high-level thinking. Imagine switching from roofing to architectural design.

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6 enterprise DevOps mistakes to avoid

CIO

Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps. It may surprise you, but DevOps has been around for nearly two decades.

DevOps 214
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ReadySet raises $29M to expedite access to enterprise-scale app data

TechCrunch

ReadySet , a company providing database infrastructure to help developers build real-time applications, today announced that it raised $24 million in a series A funding round led by Index Ventures with participation from Amplify Partners. Several angel investors also contributed, bringing ReadySet’s total raised to $28.9

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Building a Beautiful Data Lakehouse

CIO

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. This dual-system architecture requires continuous engineering to ETL data between the two platforms. Challenges of supporting multiple repository types. Pulling it all together.

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Knowledge Bases for Amazon Bedrock now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications

AWS Machine Learning - AI

However, it’s important to note that in RAG-based applications, when dealing with large or complex input text documents, such as PDFs or.txt files, querying the indexes might yield subpar results. Using Lambda functions, you can customize the chunking process to align with the unique requirements of your RAG application.