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In AI-driven product environments, rapid deployment, monitoring, and governance are critical. At NeoAavya Consulting Services, we implement MLOps and AgentOps practices for dependable model and agent lifecycles.
MLOps and AgentOps extend DevOps practices to AI systems, enabling versioning, evaluation, deployment, monitoring, and governance for models and autonomous workflow agents.
DevOps focuses on improving communication, integration, and collaboration, while automating repetitive tasks and processes to drive faster, more reliable deployments.
CI/CD Tools: Jenkins, GitLab CI, CircleCI, Travis CI, Bamboo
IaC Tools:Terraform, Ansible, Puppet, Chef
Containerization & Orchestration: Docker, Kubernetes, OpenShift, Helm
Cloud Platforms:Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP)
Monitoring & Logging Tools:Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk
Configuration Management: Ansible, Chef, Puppet, SaltStack
Security Tools: SonarQube, Snyk, Aqua Security, HashiCorp Vault
By implementing DevOps practices, NeoAavya Consulting Services can help you accelerate software development, improve collaboration, and deliver high-quality products faster and more securely. Let us help you streamline your processes and optimize your infrastructure for growth.
