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PostgreSQL Trends: Most Popular Cloud Providers, Languages, VACUUM, Query Management Strategies & Deployment Types in Enterprise

Scalegrid

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. Most Popular Cloud Providers for PostgreSQL Hosting.

Strategy 182
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An Enterprise-Grade MongoDB Alternative Without Licensing or Lock-in

Percona

First, some stage-setting for this blog article. 1 among non-relational/document-based systems ( DB-Engines, July 2023 ). Those problems (some with shared elements) include: High cost and complicated pricing structure : Many companies say MongoDB has an expensive and complicated pricing structure ( Cloud Zero, January 2023 ).

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5 key areas for tech leaders to watch in 2020

O'Reilly

The shift to cloud native design is transforming both software architecture and infrastructure and operations. Still cloud-y, but with a possibility of migration. Strong usage in cloud platforms (+16%) accounted for most cloud-specific growth. Figure 1 (above). to be wary of.

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As-Salaam-Alaikum: The cloud arrives in the Middle East!

All Things Distributed

This move is another milestone in our global expansion and mission to bring flexible, scalable, and secure cloud computing infrastructure to organizations around the world. This provides students and educators with the resources needed to accelerate cloud-related learning.

Cloud 152
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Continuous Performance Analysis with Lighthouse CI and GitHub Actions

CSS - Tricks

In this article, we’ll go over how to set up Lighthouse CI and run it locally, then how to get it working as part of a CI workflow through GitHub Actions. The temporary-public-storage option indicates that the report will be uploaded to Google’s Cloud Storage and retained for a few days. Running Lighthouse 3 time(s) on [link] Run #1.done.

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Sharing Data Among Multiple Servers Through AWS S3

Smashing Magazine

For instance, a multi-step “Upload your user avatar” functionality may require the user to upload an avatar on step 1, crop it on step 2, and finally save it on step 3. A naive approach would be to copy the uploaded file on step 1 to all other servers, so the file would be available on all of them.

AWS 44
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The top 5 reasons to run your own database benchmarks

HammerDB

if not how will you determine the optimal deployment platform for those applications (if you don’t know whether your application scales in the first place?) For example when considering moving a database application into the cloud are you going to copy your actual production data into multiple cloud environments for testing?