
NeuBird AI is a Production Ops Platform designed for ITOps, SRE, and DevOps teams running production cloud environments. It uses agentic AI to move operations from reactive incident response to proactive, autonomous production management.
Despite significant investment in monitoring and observability tools, teams still face alert noise, slow root cause analysis, and costly incidents. NeuBird AI solves this by continuously analyzing telemetry across cloud services, applications, and infrastructure to prevent issues, resolve incidents faster, and optimize operations.
Prevent incidents before they happen
NeuBird AI detects early signals of degradation, configuration drift, and anomaly patterns across metrics, logs, traces, and change events. Teams can identify and address issues 30 to 60 minutes before user impact while reducing alert noise by more than 78 percent.
Resolve incidents in minutes
When incidents occur, NeuBird AI automatically investigates across Azure Monitor, Amazon CloudWatch, logs, metrics, traces, and recent changes to identify root cause in minutes. AI driven triage, correlation, and runbook generation reduce mean time to resolution by up to 60 percent while minimizing the need for large war room responses or bridge calls.
Optimize cost, performance, and operations
NeuBird AI continuously analyzes cloud environments to uncover cost savings, performance issues, and gaps in observability. It identifies right sizing opportunities, missing telemetry, and repetitive operational tasks, helping teams reclaim more than 200 engineering hours per month.
Built for production cloud operations
NeuBird AI integrates with AWS services including CloudWatch, as well as Kubernetes and Azure Monitor, and tools like Datadog, Splunk, and PagerDuty.
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Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers.
Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.
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Atlantis
Atlantis operates as a self-hosted solution, ensuring that your credentials remain within your own infrastructure. It functions as either a Golang binary or a Docker image and is compatible with deployment on various platforms such as VMs, Kubernetes, and Fargate. This tool listens for webhooks from popular version control systems including GitHub, GitLab, Bitbucket, and Azure DevOps. It executes Terraform commands remotely and provides feedback with their outputs. Employed by one of the leading companies globally, it effectively manages over 600 Terraform repositories and supports a team of 300 developers. Having been in production for more than two years, each pull request now features a comprehensive log detailing the infrastructure changes made, the contributors involved, and the approvals granted. Atlantis includes the option to mandate approvals for every production change, facilitating compliance with audits without disrupting your workflows. Developers can initiate Terraform pull requests without needing to expose their credentials, while operators can set requirements for approvals before permitting application changes. This ensures that all alterations are applied prior to merging into the master branch, enhancing both accountability and oversight in the development process. Additionally, the system's detailed change logs promote transparency and traceability, making it an invaluable tool for managing infrastructure as code.
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Portainer Business
Portainer Business makes managing containers easy. It is designed to be deployed from the data centre to the edge and works with Docker, Swarm and Kubernetes. It is trusted by more than 500K users.
With its super-simple GUI and its comprehensive Kube-compatible API, Portainer Business makes it easy for anyone to deploy and manage container-based applications, triage container-related issues, set up automate Git-based workflows and build CaaS environments that end users love to use.
Portainer Business works with all K8s distros and can be deployed on prem and/or in the cloud. It is designed to be used in team environments where there are multiple users and multiple clusters. The product incorporates a range of security features - including RBAC, OAuth integration and logging, which makes it suitable for use in large, complex production environments.
For platform managers responsible for delivering a self-service CaaS environment, Portainer includes a suite of features that help control what users can / can't do and significantly reduces the risks associated with running containers in prod.
Portainer Business is fully supported and includes a comprehensive onboarding experience that ensures you get up and running.
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