Remove Hardware Remove Latency Remove Operating System Remove Traffic
article thumbnail

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
article thumbnail

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. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Dynatrace Managed turnkey Premium High Availability for globally distributed data centers (Early Adopter)

Dynatrace

This means that Dynatrace continues full operation when a majority of nodes are up and a maximum of two nodes are down at a time. The network latency between cluster nodes should be around 10 ms or less. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization.

article thumbnail

What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130
article thumbnail

10 Lessons from 10 Years of Amazon Web Services

All Things Distributed

Failures are a given and everything will eventually fail over time: from routers to hard disks, from operating systems to memory units corrupting TCP packets, from transient errors to permanent failures. This is a given, whether you are using the highest quality hardware or lowest cost components. Primitives not frameworks.

AWS 147
article thumbnail

Monitoring Distributed Systems

Dotcom-Montior

Software and hardware components are autonomous and execute tasks concurrently. Concurrency refers to the system’s ability to carry out multiple tasks in parallel and manage the access and usage of shared resources. This also includes latency, or the time it takes for data or a request to get through a network. Heterogeneity.

Systems 74
article thumbnail

MongoDB Best Practices: Security, Data Modeling, & Schema Design

Percona

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.