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A Look Back at Q1 '24 Public Cloud Software Earnings

Clouded Judgement

It’s worth pointing out that Azure is a bit above the long term trendline, while AWS is still below (but accelerating up). GCP data is a bit more noisy as they don’t disclose GCP itself, but rather Google Cloud which includes GSuite. The concept of guiding higher than expectations is considered a “raise.”

Cloud 318
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Tabular: Turning Your Data Swamp into a Data Lakehouse with Apache Iceberg

Clouded Judgement

Typical data lake storage solutions include AWS S3, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS) or Hadoop Distributed File System (HDFS). At the end of the day it’s optimized for storage, not access (this is something I’ll refer to a lot). A natural question is “why do we have two tiers?

Data 130
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Understanding Multi-tenancy, the Keystone of SaaS

CloudGeometry

The AWS Well-Architected Framework is one such approach that helps adopt architectural best practices (whether or not you run on AWS) and adapt continuously. This works for use-cases requiring a strategy that is not exclusively Silo or Pool-based, referred to as a mixed-model.

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What Is FinOps and How Can It Help Businesses Scale Their Financial Processes

Baremetrics

FinOps refers to an operational model for financial management that orients itself towards the optimization of a company’s cloud usage. You might see the three stages of the FinOps journey referred to as inform, optimize, and operate, a model popularized by the FinOps Foundation. It is useful to consider a three-stage model of FinOps.

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Tech Stack: Definition, Components, and Building Tips

User Pilot

TL;DR A tech stack refers to the collection of technologies utilized in developing an application. Service providers like Amazon Web Services (AWS), Google Cloud Platform, and Microsoft Azure offer server hosting and load-balancing services. Examples of front-end frameworks include React, Vue.js, and Angular.

Azure 52
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Data Analyst Job Description and Templates

User Pilot

Utilize cloud-based data platforms (AWS, Azure, Google Cloud) for scalable data storage, processing, and analysis. Experience working with cloud platforms (AWS, Azure, GCP) is desirable. Work with big data technologies (Hadoop, Spark) to process and analyze massive volumes of data.

Data 52
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Best application vulnerability assessment tools for software companies (paid & free)

Audacix

They reference comprehensive vulnerability databases, such as the Common Vulnerabilities and Exposures (CVE) list, to identify potential matches. Additionally, static vulnerability scanning tools leverage pattern matching techniques to compare application components against known vulnerabilities, such as outdated libraries or frameworks.