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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

While each database has been designed for different goals and use cases, YCSB test provides somewhat a common ground for the benchmark, therefore the numbers shown in this document can be used by developers or users to help select the db suitable for their requirement.

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Five-nines availability: Always-on infrastructure delivers system availability during the holidays’ peak loads

Dynatrace

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. But is five nines availability attainable? Downtime per year. 90% (one nine).

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ScaleGrid DigitalOcean Support for MySQL, PostgreSQL and Redis™ Now Available

Scalegrid

Additionally, ScaleGrid offers several competitive advantages such as full superuser access, custom master-slave configurations, and advanced slow query analysis and monitoring capabilities through their sophisticated platform.

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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

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Measuring the importance of data quality to causal AI success

Dynatrace

It uses fault-tree analysis to identify the component events that cause outcomes at a higher level. Causal AI applies a deterministic approach to anomaly detection and root-cause analysis that yields precise, continuous, and actionable insights in real time. That’s where causal AI can help.

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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. Establish realistic SLO targets based on statistical and probabilistic analysis. This process includes benchmarking realistic SLO targets based on statistical and probabilistic analysis from Dynatrace. Availability. Reliability.

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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. port 5001 [ 4] local 127.0.0.1