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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

RedisĀ® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130
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How To Measure the Network Impact on PostgreSQL Performance

Percona

It is very common to see many infrastructure layers standing between a PostgreSQL database and the Application server. We often forget or take for granted the network hops involved and the additional overhead it creates on the overall performance. But let’s see what the wait events look like if the network slows down.

Network 65
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Designing Instagram

High Scalability

We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. There are two major processes which gets executed when a user posts a photo on Instagram. System Components. Component Design. API Design.

Design 334
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RedisĀ® Monitoring Strategies for 2024

Scalegrid

Identifying key RedisĀ® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. RedisĀ® Monitoring Essentials Ensuring the performance, reliability, and safety of a RedisĀ® database requires active monitoring. Monitoring tools should also be considered when setting up your RedisĀ® database.

Strategy 130
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking. This spans from the end user’s experience down to the performance of underlying database queries, and from the application code down to the hardware resources it utilizes.

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MongoDB Rollback: How to Minimize Data Loss

Scalegrid

Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies. To potential data loss, a rollback can also lead to inconsistencies within the database itself.

Database 130
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Mastering MongoDBĀ® Timeout Settings

Scalegrid

How the MongoDB timeout is set up can significantly affect your applicationā€™s performance, no matter if you are an experienced MongoDB user or just starting with NoSQL databases. MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage.

Java 130