Remove Benchmarking Remove Efficiency Remove Latency Remove Speed
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. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130
article thumbnail

How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

Quality gates are benchmarks in the software delivery lifecycle that define specific, measurable, and achievable success criteria a service must meet before moving to the next phase of the software delivery pipeline. Automating quality gates creates reliable checks and balances and speeds up the process by avoiding manual intervention.

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

MySQL Key Performance Indicators (KPI) With PMM

Percona

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

article thumbnail

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

Percona

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning 52
article thumbnail

Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

On your first try, you can use it as a benchmark for optimizations later. Server caches help lower the latency between a Frontend and Backend; since key-value databases are faster than traditional relational SQL databases, it will significantly increase an API’s response time. No one likes a white blank screen, especially your users.

Cache 125
article thumbnail

New Network Fallacies

Tim Kadlec

Even if it is 4G (5G, or whatever else) that doesn’t exactly guarantee you’ll be getting the amazing, theoretical speeds promised. Once a new network does get rolled out, it takes years for carriers to optimize it to try and close in on the promised bandwidth and latency benchmarks.

Network 61
article thumbnail

Redis vs Memcached in 2024

Scalegrid

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup. Memory Efficiency Compared When it comes to memory efficiency, Redis and Memcached have different strengths.

Cache 130