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We are still early with the cloud

Erik Bernhardsson

And today, the cloud is obviously here… I mean, despite what some people may think about cloud adoption 2. it's clear that building technology is vastly different today than it was a decade ago, and the cloud deserves a big part of the credits for it. I want to tell the cloud to connect service A and B!

Cloud 259
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Zero Trust Security Model in Cloud Environments

Prisma Clud

But widespread adoption of cloud computing, coupled with an evolving threat landscape, has exposed the limitations of perimeter-based security. In this blog post, we delve into Zero Trust and the best practices that exemplify it in cloud environments. In response, the Zero Trust model emerged as a more effective security framework.

Cloud 105

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Keeping your own XM Cloud repository in sync with official XM Cloud starter kit template


XM Cloud is a live evolving platform – the development team releases new base images almost on a weekly basis, and new features are coming to the product regularly, which gets reflected in the underlying dependencies, as well as public starter kit templates such as XM Cloud Foundation Head Starter Kit.

Cloud 110
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Cloud Atlas, Episode 1: The Cloud Gathers


Just about everything you interact with digitally is enabled by the cloud. Whether you’re doom-scrolling on Instagram, binge-watching on Netflix, ride-hailing on Uber, or downloading super-cool cloud podcasts (hint, hint) on Spotify, you’re using the cloud.

Cloud 119
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Cloud-Based Solutions: The Sky Is the Limit for Retail Success

Speaker: Ryan Bryers, SVP of Global Engineering

In a rapidly evolving industry, the shift from traditional on-premise systems to cloud-based solutions has become crucial for retail success. While many businesses still rely on store-level infrastructure, it's time to embrace the unlimited potential of the cloud!

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Mastering Cloud Transformation for Business: Cloud Foundations


In this blog series, we’re exploring the four pillars of a successful Cloud Transformation: Program Model, Cloud Foundations, Portfolio Transformation, and Enterprise App Migration. In this second segment, we’ll review the important “get right” technical elements of cloud adoption, which we refer to as “Cloud Foundations.”

Cloud 111
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Optimizing Cloud Costs: A Clear Roadmap for SMEs to Efficiently Manage Cloud Resources


In today’s landscape, SMEs across various industries grapple with the complex task of managing cloud costs. Furthermore, the economic challenges and escalating inflation rates have led to a significant surge in SMEs adopting cloud technology. million on cloud-related expenses. Million on the cloud.

Cloud 52
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Best Practices for Deploying & Scaling Embedded Analytics

Deployment: Benefits and drawbacks of hosting on premises or in the cloud. Application Design: Depending on your capabilities, you can choose either a VM or a container-based approach. Packaging and Deployment Workflow: Embedded analytics solution should work seamlessly with your current application.

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5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace.

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Top Considerations for Building an Open Cloud Data Lake

Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data. Read this paper to learn about: The value of cloud data lakes as the new system of record.

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The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. About alternative solutions such as lake houses and how they compare to next-gen cloud data lakes How to separate compute and data by preserving data in open file and table formats.

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Checklist Report: Preparing for the Next-Generation Cloud Data Architecture

Instead of considering the data warehouse and the data lake as independent “data islands” that coexist in a cloud platform, it is time to reconsider the fundamental ways that information is accumulated, managed, and then provisioned to the different downstream data consumers.

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Cloud-Scale Monitoring With AWS and Datadog

In this eBook, find out about the benefits and complexities of migrating workloads to AWS, and dive into services that AWS offers for containers and serverless computing. Find out the key performance metrics for each service to track in order to ensure workloads are operating efficiently.

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TCO Considerations of Using a Cloud Data Warehouse for BI and Analytics

Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.

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12 Considerations When Evaluating Data Lake Engine Vendors for Analytics and BI

To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. Businesses today compete on their ability to turn big data into essential business insights.