Remove areas-of-work infrastructure
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An educational side project

The Pragmatic Engineer

He sketched out what he wanted the final product to look like: The sketch Juraj made, before starting any coding And he sketched how he envisioned the observability part to work: The sketch of the monitoring system Phase 1: Infrastructure (October-November). Before diving into coding, Juraj set up the infrastructure.

Education 363
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Going from Developer to CEO: Chronosphere

The Pragmatic Engineer

It’s not common to have only engineering founders at a company: my gut feel is that at infrastructure startups, such a setup can make a lot more sense. From learning to code in Australia, to working in Silicon Valley How did I learn to code? To get full issues twice a week, subscribe here. And we ended up doing well in it, too!

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Inside Agoda’s Private Cloud - Exclusive

The Pragmatic Engineer

But there’s no “one size fits all” strategy when it comes to deciding the right balance between utilizing the cloud and operating your infrastructure on-premises. Around 1,600 people work in engineering, including software engineers, data science and business intelligence (BI) teams, and the DevOps team.

Cloud 192
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Realtime Data Applications Made Easier With Meroxa

Data Engineering Podcast

In this episode DeVaris Brown discusses the types of applications that are possible when teams don't have to manage the complex infrastructure necessary to support continuous data flows. The complexity of providing those capabilities is still high, however, making it more difficult for small teams to compete.

Data Lake 277
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Snowflake Invests in Metaplane for Deep, End-to-End Observability in the Data Cloud

Snowflake

By continuously monitoring metrics, metadata, lineage, and logs from across your data infrastructure and using ML-based anomaly detection to detect issues, they help data teams know about and resolve issues quickly. According to Infosys, 35% of AI projects will either fail or experience delays because of poor data quality.

Cloud 106
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Fail Safe vs Fail Secure: Top Differences in Locking Systems

Knowledge Hut

When I worked in the hospitality industry, the electricity abruptly went out while we were establishing the network and door locks. I have comprehensively analyzed the area of physical security, particularly the ongoing discussion surrounding fail safe vs fail-safe secure electric strike locking systems. What are Fail-Safe Door Locks?

Systems 105
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Seamless SQL And Python Transformations For Data Engineers And Analysts With SQLMesh

Data Engineering Podcast

SQLMesh was designed as a unifying tool that is simple to work with but powerful enough for large-scale transformations and complex projects. In this episode Toby Mao explains how it works, the importance of automatic column-level lineage tracking, and how you can start using it today.