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PostgreSQL vs. Oracle: Difference in Costs, Ease of Use & Functionality

Scalegrid

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Recognized as the fastest growing database by popularity, PostgreSQL was named the DBMS of the year in both 2018 and 2017 by DB-Engines, and continues to grow in popularity in 2019. Compare Ease of Use.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. Storage: don’t break the bank!

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Delta: A Data Synchronization and Enrichment Platform

The Netflix TechBlog

Thus, ensuring the atomicity of writes across different storage technologies remains a challenging problem for applications [3]. To improve the recovery time for this scenario, we started using block storage volumes (Amazon Elastic Block Store) instead of local disks on the brokers. Please stay tuned. Online Event Processing.

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Achieving observability in async workflows

The Netflix TechBlog

In late 2019, our team started integrating it with the rest of the ecosystem by writing a thin Java Domain graph service (DGS) to wrap the asynchronous watermarking functionality that was then in Ruby on Rails. The watermarking functionality, at the start, was a simple offering with various Google Drive integrations for storage and links.

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

Scalegrid

PostgreSQL VACUUM is a technique to remove tuples that have been deleted or are now obsolete from their table to reclaim storage occupied by those dead tuples, also known as Bloat. of PostgreSQL deployments were strictly on-premises back in April from our 2019 PostgreSQL Trends Report and 55.8% #Java #Python #C Click To Tweet.

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Finding Distinct Values Quickly

SQL Performance

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. This follow-up post revisits the question for SQL Server 2019, using a larger number of rows. It has 32GB RAM, with 24GB available to the SQL Server 2019 instance. Test Environment. The cost threshold for parallelism is set to 50. Final Thoughts.

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Percona Database Performance Blog 2018 Year in Review: Top Blog Posts

Percona

We look forward to providing you with even better articles, news and information in 2019. As 2018 moves into 2019, let’s take a quick look back at some of the most popular posts on the blog this year. Linux OS Tuning for MySQL Database Performance. Tuning PostgreSQL Database Parameters to Optimize Performance.