Tag: software reliability

code, hybrid, ai-powered, observability, insights, DevSecOps Cisco Chronosphere observability, data collection, Observe Google Splunk ServiceNow Logz.io observability Web3 developers CodeSee Survey Surfaces Slow But Steady DevSecOps Progress

The Deterministic Future of AI-Generated Code

Yechezkel Rabinovich | November 18, 2025 | AI code generation, AI code review, AI development workflows, automated pull requests, behavioral verification, CI pipeline, code validation, deterministic guardrails, DevOps AI, ebpf, generated code risks, observability, smarter linters, software reliability

AI has eliminated the bottleneck of writing code—but introduced massive uncertainty in verifying it. This piece explores why deterministic guardrails, smarter linters, and eBPF-driven observability are becoming essential to code review and ...

AI-Driven Performance Testing: A New Era for Software Quality

Discover how AI and large language models (LLMs) are revolutionizing performance testing—shifting from reactive load testing to predictive, continuous assurance powered by intelligent agents and automation ...

open-source, users, experience, DevEx, business, technical, leadership, teams, devops, small, team, product, devops,DevEx, CI/CD pipelines, developer, experience, Backstage, developer, GitHub productivity Roadie DevX developer experience DPE open source team lead Agile hybrid developer GitLab DevRel developer GitHub BDD CircleCI Rust developer

An Experience-Based Guide to Choosing the Right DevOps Provider in 2026

Selecting the right DevOps partner is critical for accelerating software delivery, reducing costs, and maintaining reliability. This guide outlines a four-phase approach — from internal preparation to final agreements — to help ...

AI coding, teams, vibecoding, shadow, vibecoding vibe, coding, GitHub, agents, Gemini, Canvas, Gemini, code, Augment Code, code, kernel compliance-as-code software secure software Terraform infrastructure

The Breakneck Future of Codegen: Why AI SWE Must Be Matched with AI SRE

AI codegen is transforming software development — but as speed and complexity increase, so does fragility. AI for site reliability will need to keep pace to avoid system breakdown and engineer burnout. ...

When Metrics Overwhelm: How SREs Help Engineers Reclaim Focus

Neel Shah | October 13, 2025 | alert fatigue, contextual logging, developer experience, developer productivity, devops, DevOps transformation, Distributed Tracing, engineering efficiency, incident response, metrics and logs, observability, observability tooling, root cause analysis, site reliability engineering, software reliability, SRE, system resilience, war room culture

Observability promised insight but delivered alert fatigue. Learn how SREs are redefining observability to empower developers and restore real engineering value ...

OverOps Employs Machine Learning to Measure Application Reliability

Mike Vizard | February 5, 2019 | analytics, machine learning, OverOps, software reliability, software testing

OverOps is adding a series of dashboards to its analytics platform that employ machine learning algorithms to identify which software application anomalies in a pre-production environment are likely to have the most ...