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Microservices

How to Keep Observability Alive in Microservice Landscapes through OpenTelemetry

The concept of observability has become a cornerstone for ensuring system reliability and efficiency in modern software engineering and operations. Observability, beyond its traditional scope of logging, monitoring, and tracing, can be intricately defined through the lens of incident response efficiency—specifically by examining the time it takes for teams to grasp the full context and background of a technical incident.

What is developer experience?

Companies obsess over end user experience, whether it is Amazon’s customer-centric innovation or Steve Jobs suggesting starting with the customer experience and working backwards to technology. But as our world becomes more knowledge-based and digital, we also need to consider the most important stakeholder on the payroll - software engineers.

Observability tools and Internal Developer Portals

Observability tools help engineering teams understand the health and behavior of software. But the term “health” in the context of this type of tooling is fairly narrow in scope—pertaining to real-time performance, reliability, and availability. While these are three important metrics to monitor, they’re lagging indicators of bigger issues happening upstream.

What do quality engineers do?

Quality engineering (QE), or software quality engineering (SQE), is a discipline within software development focused on ensuring the quality, reliability, and performance of software products. With an increase in development environment complexity in recent years, the focus has shifted back from detecting defects in later stages, as QA has typically done, to proactively ensuring quality throughout the entire development lifecycle.

How to choose your software reliability metrics

Reliability metrics in software development are metrics that help teams quantify how dependable and consistent their software systems are over time. By converting a wide range of technical properties into hard data, these provide quantifiable information to understand the probability of software running failure-free in a given environment over time. These metrics are a subset of developer-focused key performance indicators (KPIs), data that is gathered to emphasize developers' output.

The Ultimate Guide to Service-Oriented Architectures

Software development is a sophisticated process that comes with complexity built in. Enter DevOps (many years ago, of course) to foster an environment where developers can build complex applications while minimizing backend overhead, ensuring that processes are replicable and software design is standardized. One of the first examples of DevOps in action was the surge in popularity for service-oriented architecture.

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.