Remove Metrics Remove Microservices Remove Performance Remove Software Engineering
article thumbnail

A brave new (generative) world – The future of generative software engineering

Capgemini

A Brave New (Generative) World – The future of generative software engineering Keith Glendon 26 Mar 2024 Facebook Twitter Linkedin Disclaimer : This blog article explores potential futures in software engineering based on current advancements in generative AI.

article thumbnail

What Is Application Performance Monitoring?

Honeycomb

And your fast, reliable software makes them happy. Application performance monitoring, also known as APM, represents the difference between code and running software. You need the measurements in order to manage performance. This data can include time-series metrics, error events, and structured logs or trace spans.

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

What Is Observability? Key Components and Best Practices

Honeycomb

The interplay of distributed architectures, microservices, cloud-native environments, and massive data flows requires an increasingly critical approach : observability. Observability is not just a buzzword; it’s a fundamental shift in how we perceive and manage the health, performance, and behavior of software systems.

Metrics 126
article thumbnail

The Cost Crisis in Observability Tooling

Honeycomb

Observability has three pillars: metrics, logs, and traces.” But logs are expensive and everybody wants dashboards… so we buy a metrics tool. Software engineers want to instrument their applications… so we buy an APM tool. The front-end engineers point out that they need sessions and browser data… so we buy a RUM tool.

Tools 143
article thumbnail

8 Tech Influencers to Follow on Social Media

Apiumhub

He is a software engineer, consultant, and author of “Continuous Delivery”, “Modern Software Engineering,” “CD Pipelines,” and “ Software Architecture Metrics. “ Farley is synonymous with being at the forefront of modern software development practices.

Media 84
article thumbnail

Kubernetes and the JVM

Xebia

The project involved decommissioning an extensive monolith Scala application into smaller microservices. The team used the Strangler Fig pattern to decommission the legacy system gradually in new Scala and modern microservices running in Kubernetes. We’ll put the focus on Kubernetes and the Java Virtual Machine ( JVM ).

article thumbnail

Pursuing DevOps Momentum: Measuring what matters

CloudGeometry

The quality of collaboration in software development is measured by a direct line of sight into the customer experience. DevOps is a given in today’s software engineering world. Top performers excel at both reliability and velocity. Especially in a SaaS business, metrics aggregated over time matter most.

DevOps 130