"CFEngine: The agent is in" is our monthly webinar series, where we show new features, teach best practices, and keep the community informed about everything CFEngine.
Multi-agent AI systems are transforming how intelligent applications are built. By orchestrating multiple specialized agents that collaborate to solve complex tasks, these systems enable more dynamic and efficient workflows. However, deploying such a system reliably and at scale requires a structured approach to testing, packaging, and automation.
Modern development teams often rely on Continuous Integration (CI) pipelines to automate testing, building, and deployment of their code These pipelines are typically defined through configuration files stored within the source code repository. Developers, DevOps engineers, or other contributors with the appropriate permissions frequently need to edit these files to adjust workflows, add new checks, or support evolving project requirements.
In this employee spotlight blog, Shaheen Kalla, Presales Team Lead, explores what the future of AI in networking may hold and the possibilities it presents. So much has been written about AI in the context of software engineering, machine learning, and data manipulation - especially where large datasets are involved. However, very little has been explored when it comes to AI from a networking perspective.
Join NinjaOne Field CTO Jeff Hunter for an exploration of macOS management capabilities. NinjaOne MDM allows for granular control over macOS configurations, while the NinjaOne agent provides real-time tools and monitoring along with remote access through NinjaOne Remote.
Customer expectations for seamless digital experiences are higher than ever, and any disruption in availability or performance can lead to abandoned purchases and millions in lost revenue. A new commissioned study conducted by Forrester Consulting on behalf of Catchpoint shows retail & eCommerce companies are struggling: To ensure seamless customer experiences, retail & eCommerce companies must employ comprehensive Internet Performance Monitoring or assume the risk of allowing millions in revenue slip away.
We’ve just rolled out an exciting enhancement to our Early Warning Signals system: Possible outages that we detect are now visible directly in your Admin board and on your public Status Page. Until now, we’ve notified StatusGator users about possible outages via email — and more recently, Slack — when we detected signs of an outage before any official acknowledgment. Now, these early warnings appear right where they’re most impactful.
Content monitoring software is designed to track changes on web pages over time—capturing additions, deletions, and modifications across everything from blog posts to landing pages and legal disclaimers. Traditionally, it’s used by businesses and organizations that need to keep tabs on important, frequently updated content—either for compliance, competitive intelligence, or performance reasons. Here are some of the most common use cases.
In the ever-growing ecosystem of infrastructure and software development, where tools like Kubernetes introduce complexity and hyperscalers welcome sprawl, it's more important to have your SDLC buttoned up and as efficient as possible. CI/CD, one of Cycle's noble sidekicks, is important in kicking off the SDLC, and having a tool that gets the job done without introducing extra complexity or constraint is paramount.