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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. It can achieve impressive performance, handling up to 50 million operations per second.

Metrics 130
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Scale up your Dynatrace Managed software-intelligence deployment with self-healing insights

Dynatrace

Metrics are provided for general host info like CPU usage and memory consumption, OneAgent traffic, and network latency. With the release of Dynatrace version 1.194, Dynatrace is starting a Preview program for self-monitoring dashboards for Dynatrace Managed clusters. Enroll now.

Software 166
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Achieving observability in async workflows

The Netflix TechBlog

Users of Prodicle: Production Office Coordinator on their job As the adoption of Prodicle grew over time, Productions asked for more features, which led to the system quickly evolving in multiple programming languages under different teams. Prodicle Distribution Our service is required to be elastic and handle bursty traffic.

Traffic 160
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Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). This can result in significant cost savings for high traffic applications.

Cloud 242
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Redis vs Memcached in 2024

Scalegrid

For vertical scaling, Memcached allows augmenting existing servers with additional CPU cores and memory, thereby enhancing the capacity of the caching pool to manage higher traffic volumes and larger data loads. In conclusion, both Redis and Memcached offer unique strengths.

Cache 130
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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. We formulate the problem as a Mixed Integer Program (MIP). can we actually make this work in practice?

Cache 251
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Understanding What Kubernetes Is Used For: The Key to Cloud-Native Efficiency

Percona

Applications can be horizontally scaled with Kubernetes by adding or deleting containers based on resource allocation and incoming traffic demands. It distributes the load among containers and nodes automatically, ensuring that your application can handle any spike in traffic without the need for manual intervention from an IT staff.