article thumbnail

Secrets Detection: Optimizing Filter Processes

DZone

In a previous article , we explained how we built benchmarks to keep track of those three metrics: precision, recall, and the most important here, speed. These benchmarks taught us a lot about the true internals of our engine at runtime and led to our first improvements.

article thumbnail

Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

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

Implementing service-level objectives to improve software quality

Dynatrace

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. Instead, they can ensure that services comport with the pre-established benchmarks. When organizations implement SLOs, they can improve software development processes and application performance.

Software 269
article thumbnail

Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. port 5001 [ 4] local 127.0.0.1

article thumbnail

What is application modernization? How to pick an application modernization strategy

Dynatrace

Application modernization centers on bringing monolithic, on-premises applications — which IT teams usually update and maintain with waterfall development processes — into cloud architecture and release patterns. Document and benchmark existing applications, processes, and services.

Strategy 232
article thumbnail

Measuring the importance of data quality to causal AI success

Dynatrace

In AIOps , this means providing the model with the full range of logs, events, metrics, and traces needed to understand the inner workings of a complex system. Improving data quality is a strategic process that involves all organizational members who create and use data. The data needs to be appropriate for the questions asked.

article thumbnail

Benchmarking spreadsheet systems

The Morning Paper

Benchmarking spreadsheet systems Rahman et al., construct a set of benchmarks to try and understand what might be going on under the covers in Microsoft Excel, Google Sheets, and LibreOffice Calc. Finally a metric that penalises marketing departments for exaggeration! A recent TwThread drew my attention to this pre-print paper.