Remove Article Remove Benchmarking Remove Hardware Remove Software
article thumbnail

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52
article thumbnail

Kubernetes for Big Data Workloads

Abhishek Tiwari

Over last few years, we have seen several attempts to run data workload in the containers especially distributed big data frameworks like Apache Hadoop, Apache Storm [3] , and Apache Spark [4] [5] without any software modifications. Obviously, containerized data workloads have their own challenges. optimised container networking and security.

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

The Return of the Frame Pointers

Brendan Gregg

To explain this example in more detail: The profiler periodically interrupts software execution, and for those disconnected stacks it happens to be the execution of the kernel software ("vfs*", "ext*", etc.). and we may have been flying close to the edge of hardware cache warmth, where adding a bit more instructions caused a big drop.

Java 145
article thumbnail

DBaaS vs Self-Managed Cloud Databases

Scalegrid

Traditional self-managed ones give organizations full control over their database infrastructure, such as picking the software and scaling it up. These databases require significant time commitment along with necessary technical skills plus hardware & software costs, all of which are without dedicated team assistance.

Database 130
article thumbnail

Further improved handling and reliability of OneAgent deployments

Dynatrace

Dynatrace OneAgent deployment and life-cycle management are already widely considered to be industry benchmarks for reliability and efficiency. In this article we’ll share highlights about two increments that are likely to fall into the “barely noticeable” category. Dynatrace news.

article thumbnail

The top 5 reasons to run your own database benchmarks

HammerDB

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

article thumbnail

High Availability vs. Fault Tolerance: Is FT’s 00.001% Edge in Uptime Worth the Headache?

Percona

This blog article will examine shared attributes of high availability (HA) and fault tolerance (FT). Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. What is fault tolerance?