Operations | Monitoring | ITSM | DevOps | Cloud

Microservices

15 Engineering KPIs to Improve Software Development

Software engineering key performance indicators (KPIs) help engineer leadings keep teams accountable while ensuring focus on highest leverage activities. They are essential for driving process improvement, managing risks, supporting data-driven decision making, and ensuring customer satisfaction. Without KPIs, teams may encounter challenges related to visibility, efficiency, decision-making, quality, and customer satisfaction, which can ultimately impact project success and organizational performance.

An Introduction to Microservices Monitoring-Strategies, Tools, and Key Concepts

Users have higher expectations than ever when it comes to performance and reliability in the apps they use every day. A critical part of meeting these expectations is having a robust monitoring system in place. This article focuses on monitoring applications using a microservice architecture—it will go over key concepts, common challenges, and useful tools every engineer should know.

24 Agile metrics to track in 2024 | What, Why, and How

Agile metrics are key performance indicators (KPIs) that help measure, evaluate, and optimize the efficiency of Agile software development practices, processes, and outputs. They provide visibility into how well Agile teams are delivering value, enabling data-driven decisions, and fostering continuous improvement. Agile metrics sit under the broader umbrella of software engineering metrics, which track code quality, system performance, release velocity, and more.

What are developer experience metrics?

Good software development teams are focused on outputs, and can bring key metrics to bear that illustrate just what the engineering organization is building on a daily, monthly and yearly basis. Developer productivity is often assessed retrospectively: if the team is hitting DORA metrics, we assume everything in the lifecycle before production is sound. But the best teams dig deeper, and aim to solve the problem backwards as well as forwards by looking at the process as well as the results.

Microservices Modernization Missteps: Four Anti-Patterns of Rebuilding Apps

There are many missteps in the app modernization journey. For more than ten years, we’ve worked with clients on hundreds of modernization projects, from single apps to portfolios of apps in large enterprises and our experience has led us to identify four of the most common anti-patterns impacting organizations.

MTBF MTTR MTTF MTTA - Your guide to incident response metrics

Even the most reliable and well-designed software systems experience failures. Tracking incident response metrics helps teams strengthen both organizational preparedness and system resilience by uncovering trends, gaps, and opportunities for improvement. In short, important metrics for incident management are: Understanding these metrics helps engineering leaders improve service uptime, meet SLAs, and align operational capacity.

How to observe and troubleshoot microservices connectivity in Amazon EKS

In the complex landscape of microservices within Amazon Elastic Kubernetes Service (EKS), maintaining seamless connectivity within microservices is paramount for ensuring optimal performance and reliability. As organizations increasingly embrace microservices architecture, understanding how to observe and troubleshoot microservices connectivity issues in Amazon EKS becomes a critical skill set.

A Practical Guide to Logging in Microservices [Includes Best Practices]

Microservices logging is the practice of tracking and recording the activities of specific services in a distributed microservices architecture. Logging is an important aspect of any software system, and it is more critical for a microservices architecture as there are many small, independent services interacting with each other.

Seven Jellyfish alternatives driving engineering efficiency and impact

Jellyfish is one of the most popular engineering management platforms, offering comprehensive insights into engineering organizations, their tasks, and operational processes. Engineering management platforms aggregate and analyze metrics from various tools and systems that enable the software delivery process and development lifecycle. Jellyfish and other engineering management platforms aim to connect key development processes and decisions to overarching business goals.

Cortex Notifications: Stay up to date while staying in flow

Notifications are designed to be annoying. Think of your phone buzzing in a quiet room: it demands your attention, lighting up your screen and making noise so you look at it. A notification is supposed to pull you away from whatever you’re working on. They can be useful, but they can also be a nuisance.