Operations | Monitoring | ITSM | DevOps | Cloud

September 2022

DevOps vs. SRE: What's the Difference?

Despite there being significant differences in the roles, DevOps and Site Reliability Engineering are often lumped together because many people assume they do similar work. Although both attempt to reduce the issues arising from software development processes, their goals, skill sets, and approaches are actually quite different. DevOps engineers focus on the development pipeline, and their goal is to enable better development processes and workflows.

Scorecards for Resources

Cortex’s Resource Catalog allows engineers to track all of their infrastructure components — from databases to Kafta topics — in a single place. The Resource Catalog demystifies infrastructure, giving developers clear insights into exactly how their service architecture works. Using the Resource Catalog, it’s easy to find information about which infrastructure assets are running and how all the distinct components connect.

Measure and improve developer productivity

Knowing how productive your development team is is essential to planning your software delivery timeline and releasing high-quality software to the end-user. However, there exist several misconceptions about what developer productivity is and how it can be increased. Developer productivity is not a single metric you can measure, like the number of pull requests each developer in the team is making in a given development time.

Consider these 9 microservices best practices to help you ditch your monolith

Microservice architectures have become extremely popular in recent years, and for good reason. When managed properly, they improve scalability, encourage faster development and deployment, and reduce data and domain coupling. Companies of all sizes, from small startups to large enterprises, have migrated their monolithic applications over to microservice and service-oriented architectures. Making the move from monolith to microservices is a big shift, though.

Your guide to measuring and improving code quality

It is dangerous to push software into production before knowing how each line of code contributes effectively to the product. If your code is of low quality or contains many bugs, the software will not run as it is supposed to and cause a number of problems for end-users and your team alike. To avoid having to navigate such a scenario, it is important to continuously test your services and ensure that the code is fit to be pushed to production.