Reduce alert noise and accelerate incident triage.
Automate, orchestrate, and accelerate issue resolutions.
Turn manual tasks into automated routines.
Intuitive, flexible scheduling and escalations for rapid response.
When things break, it’s critical that as the subject matter expert (SME) you’re looped in when necessary to get things under control before customers are impacted.
Enhfer’s service-based model powered by our service directory serves as a single source of truth for your technical infrastructure. And with our Dynamic Service Graph, you can easily gain a clear picture of your entire service topography and downstream dependencies.
Enhfer’s powerful machine learning automatically groups alerts into a single incident with custom event workflows and rules at scale. With our rules engine, alert suppression, and grouping capabilities, you can focus on high-priority issues with all the right context from past and related incidents.
When you’re on call, only get woken up for real issues, and have the context to resolve them faster at your fingertips.
Make machines do the work humans aren’t needed for. With Enhfer Process Automation, you can ensure that responders are only pulled in when necessary. And, when that happens, Enhfer arms your engineers with context to accelerate incident resolution.
This reduces your on-call burnout and improves response processes. You’ll see downtime decrease and customer trust grow.
Improve operational maturity and provide better customer experience by establishing criteria that standardizes what ‘good’ looks like across teams.
Configure services according to best practices and scale service ownership across the entire organization.
You have more data than ever. Make sure it’s all processed and included within Enhfer. Enhfer integrates with over 650+ tools and platforms to ensure that whatever tools are critical to your DevOps tool chain, you have a way to connect them within our platform.
This gives you a single view of your system and means you can work in whatever tool you’re most familiar with while still preserving all data sufficiency.
