Tag: devops
AI-Driven Observability: Fast, Context-Rich MCP Servers
Christine Yen—developer-turned-CEO—explains why Honeycomb built an MCP server and why every observability vendor may follow. MCP, short for Model Context Protocol, acts like a concierge for AI agents: It makes a product’s ...
Context on Tap: How MCP Servers Bridge AI Agents and DevOps Pipelines
Large language models can draft code or move artifacts, but without situational awareness they still trip over the basics. Cloudsmith CEO Glenn Weinstein tells Mike Vizard why a new piece of plumbing—the ...
The Evolution of DevOps Continues: How 2,000 Token-Per-Second AI Code Generation Changes Everything
This shift toward instant AI code generation represents a productivity improvement; it's a change in how we approach software operations ...
Five Great DevOps Job Opportunities
The five job postings shared this week include remote DevOps roles at Hims and Hers Health, Credit Acceptance and Atlassian ...
BMC Extends Scope and Reach of DevOps Mainframe Workflows
BMC has extended its DevOps analytics tool for mainframe environments, dubbed BMC AMI zAdviser Enterprise, to now be able to collect Git usage data to make it simpler to identify bottlenecks and ...
The Benefits of Using Kotlin for Cross‑Platform Development
Kotlin has graduated from being ‘just an alternative to Java’ into a strategic cornerstone for efficient, scalable software delivery in the multi-device era. ...
DevOps Meets Blazor in 2025: Streamlining .NET Web App Delivery for the Future
Blazor has become a mature, go-to technology for modern enterprise-grade .NET web apps, especially for teams already invested in Microsoft’s ecosystem. ...
Beyond the Firewall: Achieving True Observability in the Era of Hybrid Infrastructure
Gerardo Dada | | devops, hybrid infrastructure, Internet Performance Monitoring (IPM), observability, RUM, synthetic monitoringAt a time when hybrid infrastructure is the norm and internet dependencies are unavoidable, achieving true observability means embracing a broader view ...
“Shove Left” – Dumping Downstream Tasks Onto Developers – A Recipe for Failure
Beware the "Shove Left" anti-pattern. Simply dumping downstream tasks onto developers without changing the system is a recipe for burnout, inefficiency and failure ...
Observability in Retail: How to Monitor and Manage Interactive Kiosk Fleets
Cheryl Lesniak | | customer experience technology, devops, observability in devops, retail kiosk monitoringManaging kiosks at scale creates visibility challenges. Centralized observability and proactive monitoring can help teams stay ahead of outages ...
CI/CD Pipelines for Large Teams: How to Keep Velocity Without Breaking the Build
Sumit Saha | | Automated testing, build monitoring, build reliability, CI/CD pipelines, continuous delivery, continuous integration, Developer Velocity, devops, environment management, GitHub Actions, modular pipelines, parallel testing, pipeline as code, pull requests, scalable infrastructure, software release automation, team collaboration, version controlContinuous integration (CI) and continuous delivery (CD) are essential for modern software teams, as there is now a need for fast feature delivery and high-velocity improvements. However, achieving high speed may be ...
Survey Surfaces Multiple Persistent DevSecOps Challenges
A survey of leaders based in North America finds 62% work for organizations that knowingly release insecure code to meet delivery deadlines ...
