Microtica: AI-Powered DevOps Platform
Microtica helps software companies and DevOps teams manage cloud delivery and infrastructure. It is designed for teams looking to reduce manual setup work and optimize multi-cloud spending.
At a glance
- Category
- Software Development
- Best for
- Software companies, Startups, Scaling businesses, DevOps teams, Enterprises
- Pricing
- Plans include a Free tier, Essential starting at $29/month, and Premium at $79/month. All plans include a 14-day free trial.
- Key use cases
- Automating Cloud Infrastructure, Root Cause Analysis, Multi-Cloud Management, Cloud Spend Reduction, Pipeline Management
- Integrations
- AWS, Azure, GCP, GitHub, GitLab
- Official website
- microtica.com
Microtica is a cloud delivery platform that uses AI to assist with the deployment, monitoring, and optimization of cloud-native applications. It provides tools to build infrastructure via AI-guided prompts and manage the software delivery lifecycle from commit to production.
The platform is designed for a range of users, from individual builders and startups to larger enterprises. It supports multi-cloud environments, including AWS, Azure, and GCP, and includes tools for Kubernetes deployment and CI/CD pipeline automation.
Buyers can use the platform to identify the root cause of system failures through an AI incident investigator or to find cost-saving opportunities in their cloud spend. The platform is designed so that users can keep their monitoring data within their own cloud environment.
Before choosing Microtica, buyers should consider their specific AI credit needs, as different operations consume credits at varying rates, and confirm how pricing tiers align with their required agent speed and support levels.
Key Features
Generates cloud setup configurations based on user descriptions and guided questions.
Analyzes logs, metrics, and deployment history to help identify root causes of system failures.
Includes a visual pipeline editor and Git-based triggers to help automate the build, test, and deploy process.
Provides visibility into virtual machines, containers, and databases across AWS, Azure, and GCP.
Analyzes infrastructure to provide cost breakdowns and suggestions for reducing cloud expenses.
Tools designed to help simplify the process of deploying and managing Kubernetes clusters.
Use Cases
Using AI to generate and deploy managed infrastructure setups for new projects.
Investigating complex failures and deployment bugs using AI to correlate events across the stack.
Monitoring and managing resources across AWS, Azure, and GCP from a single interface.
Reviewing AI-powered cost breakdowns to identify and implement savings recommendations.
Setting up automated build and deployment workflows with integrated Git triggers.
Best For
Integrations
Pricing
Plans include a Free tier, Essential starting at $29/month, and Premium at $79/month. All plans include a 14-day free trial.
FAQ
AI credits are consumed when interacting with AI agents like the Incident Investigator. If monthly allocations are exceeded, additional credits can be purchased at $20 per 100 credits.
The platform supports multi-cloud management across AWS, Azure, and GCP.
Yes, all plans come with a 14-day free trial, and no credit card is required to start.
Standard agents provide responses within seconds, while Accelerated agents use more powerful models to deliver responses up to 3x faster.
Source category: Software Development
Source subcategory: DevOps Platform
