Vanity Metrics for APIs vs Tracking Business Value

As an API product manager, you want your API to have a great developer experience. This means that developers can get up and running quickly, they get consistent behavior from your API, it’s easy for them to troubleshoot any errors they encounter, and your API makes it easy for them to address their business needs. … Read more

3 data quality metrics dataops should prioritize

Measuring quality of any kind requires the science of creating a measure or key performance indicator for a subjective property and turning it into a quantifiable attribute. Measuring quality should be a means to drive operational and delivery improvements. But there’s a cost to measuring quality and a human capacity to how many metrics people … Read more

Manage morale, not metrics, for more effective engineering teams

The business leaders who hire engineering firms such as mine like to see the numbers, the metrics that claim to quantify the value we create. While they may not understand the esoteric subtleties of refactoring to improve readability and conciseness, they can appreciate when code coverage increases from 85% to 90%. The numbers are going … Read more

14 Product Success Metrics to Measure Software Dev

There are several software products on the market that are used for their varied applications. This software makes the different tasks easier and allows for increased efficiency and performance. Development of any software is a tedious and long process, and it undergoes a series of quality and performance tests before its release and use. With … Read more

Data Quality Metrics to Know and Measure

The most important characteristic for any organization is not data; it is quality data. In a study, IBM estimated that bad data costs the US economy $3.1 trillion per year. Such costs are incurred when your employees spend time cleaning data or rectifying the errors caused by bad data. Apart from financial costs, bad data … Read more

Observability Exports: Metrics, Logs, and Tracing

This is the second in a series of blogs discussing unified observability with microservices and the Oracle database. The first piece went into the fundamentals and basic use cases. This second blog will take a deeper dive into the Metrics, Logs, and Tracing exporters (which can be found at https://github.com/oracle/oracle-db-appdev-monitoring), describing them and showing how … Read more

7 Tips for Using Instrumentation and Metrics

Before the acceleration of modern DevOps practices, software engineers primarily wrote code. Now the job is so much more — from getting production-ready apps and iterating quickly to scale new services to architecting system compatibility and compliance and reliability — which has elevated the need for exceptional instrumentation. But what does great instrumentation involve and … Read more

Open Source Monitoring and Metrics Landscape

Metrics and managing and understanding them is an essential part of any modern complex application. As with any active and busy technical ecosystem, there is a proliferation of competing open source monitoring standards. A handful emerges as the most popular solutions. Slowly, the community creates a standard that most projects follow in some way. This … Read more

Eng Metrics Benchmarks: What Makes Elite Teams?

DORA Metrics and Beyond In 2014 the DevOps Research and Assessment (DORA) team published their first State of DevOps report, identifying four metrics that can be used to measure engineering team performance. Six months ago the Data Science Team at LinearB decided to continue where DORA left off, digging deeper into the data than ever … Read more