Remove Latency Remove Operating System Remove Speed Remove Tuning
article thumbnail

Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. The optimization goal was to improve the application efficiency, that is to improve the ratio between service throughput and cloud costs while not increasing the application latency (e.g. The Akamas approach.

Latency 204
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
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

Faster time to value with enhanced handling of OneAgent runtime data

Dynatrace

Operating Systems are not always set up in the same way. Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. All /var subfolders are mounted as local, low latency, high-throughput drives of larger storage capacity. See details below.

Storage 147
article thumbnail

InnoDB Performance Optimization Basics

Percona

Nowadays, solid-state drives (SSDs) or non-volatile memory express (NVMe) drives are preferred over traditional hard disk drives (HDDs) for database servers due to their faster read and write speeds, lower latency, and improved reliability. Operating system Linux is the most common operating system for high-performance MySQL servers.

article thumbnail

The road to observability demo part 3: Collect, instrument, and analyze telemetry data automatically with Dynatrace

Dynatrace

We’d like to get deeper insight into the host, the underlying operating system, and any third-party services used by our application. This alone can already greatly help in identifying slow query hot spots and speed up your platform by making sure queries are optimized.

Metrics 171
article thumbnail

Testing MySQL 8.0.16 on Skylake with innodb_spin_wait_pause_multiplier

HammerDB

However in the Skylake microarchitecture (you can see a list of CPUs here ) the PAUSE instruction changed and in the documentation it says “the latency of the PAUSE instruction in prior generation microarchitectures is about 10 cycles, whereas in Skylake microarchitecture it has been extended to as many as 140 cycles.”

Testing 48
article thumbnail

Software-defined far memory in warehouse scale computers

The Morning Paper

With a far memory tier in place operators can choose between packing more jobs onto each machine, or reducing the DRAM capacity, both of which lead to TCO reductions. This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions.