Remove Design Remove Hardware Remove Operating System Remove Traffic
article thumbnail

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

Dynatrace

Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Minimized cross-data center network traffic. Save on costs for hardware and network bandwidth to optimize total cost of ownership. Automatic recovery for outages for up to 72 hours. How it works.

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. Variations within these storage systems are called distributed file systems.

Storage 130
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

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. It can achieve impressive performance, handling up to 50 million operations per second. offers the Software Watchdog specifically designed for this purpose.

Metrics 130
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.

article thumbnail

Backup and Recovery for Databases: What You Should Know

Percona

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Without data backup mechanisms, there can be data loss or system downtime.

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. For services, the gains were even more impressive.

Cache 251
article thumbnail

Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

One of the important attributes of their design was easy and rapid deployment across an existing fleet. … to realize these insights, hardware needs to access data at object granularity and must have control over pointers between objects. Hotpads is a hardware-managed hierarchy of scratchpad-like memories called pads.

Cache 61