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MongoDB Rollback: How to Minimize Data Loss

Scalegrid

Data-bearing members face a higher risk of encountering issues caused by rollbacks, compared to others who utilize different storage methods. For example, memory-resident databases without persistent disks, such as Redis cluster setups or Apache Spark installations, rely on stand-alone machines.

Database 130
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SQL Server 2016 – It Just Runs Faster: Always On Availability Groups Turbocharged

SQL Server According to Bob

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). Direct seeding of new database replicas. one without a replica).

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WAL Compression in PostgreSQL and Recent Improvements in Version 15

Percona

Some of the built-in features ( wal_compression ) have been there since 2016, and almost all backup tools do the WAL compression before taking it to the backup repository. Such “torn pages” are corruptions from the database point of view. Individual processes generate WAL records, and latency is very crucial for transactions.

Database 115
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AMD EPYC Processors in Azure Virtual Machines

SQL Performance

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. Both of these Intel processors are special bespoke models that are not in the Intel ARK database. They feature low latency, local NVMe storage that can directly leverage the 128 PCIe 3.0

Azure 42
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The Performance Inequality Gap, 2021

Alex Russell

Back in 2016, I gave a talk outlining the causes and effects of the terrible performance of web apps built using popular tools on the fastest-growing device segment: low-end to mid-range Android phones. A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage.

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Progress Delayed Is Progress Denied

Alex Russell

At the time of the last Confluence run, the gap had stretched to nearly 1000 APIs, doubling since 2016. Chrome has missed several APIs for 3+ years: Storage Access API. For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience. Some relatively minor additions (e.g.

Media 145