#DevOps
6 tools curated for you
Eliminate toolchain complexity and reduce operational overhead by unifying planning, coding, security, deployment, and monitoring into a single DevSecOps platform. Accelerate development cycles and automate repetitive tasks with built-in AI assistance for planning, coding suggestions, test generation, and security insights via GitLab Duo. Deploy with confidence using integrated, enterprise-grade security features including SAST, DAST, container scanning, and vulnerability management. Scale from startup to enterprise with strong governance, compliance controls, and role-based access control in both cloud-hosted and self-managed deployments. Maintain a lower total cost of ownership by replacing point solutions like GitHub, Jira, and Jenkins with one integrated platform for the entire software development lifecycle.
Resolve Kubernetes incidents instantly without switching tools using AI-powered Slack commands for cluster health inspection and automated troubleshooting Eliminate alert fatigue and focus only on critical issues through real-time alert noise reduction and intelligent alert categorization Automatically fix common Kubernetes problems like pod failures and node scaling issues with AI-driven remediation and pre-configured strategies Maintain security compliance without policy changes via an AI-enabled access gateway that integrates with existing security protocols Prevent recurring incidents by analyzing past data for patterns and root causes with incident intelligence for proactive optimization Execute AI-suggested actions with confidence through built-in approval workflows that require human oversight before implementation
Eliminate manual configuration overhead with automatic code analysis that instantly detects your project's language and framework Deploy globally in minutes with flexible VPS provider integration, giving you full control over server and cluster placement Stop overpaying for idle compute with a usage-based pricing model that charges only for resources your service actually consumes Ship updates faster without DevOps expertise using zero-configuration CI/CD that triggers deployments directly from GitHub pushes Handle traffic spikes effortlessly with auto-scaling that expands resources in real-time as demand increases Launch AI chatbots, Discord bots, or forms in minutes using pre-built deployment templates that eliminate repetitive setup Turn your expertise into income by sharing custom templates and earning financial returns from community contributions Simplify environment management with a single configuration file that replaces scattered .env files and centralizes all variables Manage production files and domains from a web console GUI that works like a cloud disk, without SSH or CLI commands
Resolve incidents faster with autonomous 24/7 triage that investigates alerts the moment they arrive, providing root cause analysis and restoration steps through your preferred communication channels like Slack, ServiceNow, and PagerDuty. Prevent recurring outages by analyzing historical incident patterns to deliver actionable recommendations that strengthen observability, infrastructure optimization, deployment pipeline enhancement, and application resilience. Optimize application reliability and performance across AWS, multicloud, and on-prem environments by correlating telemetry, code, and deployment data from observability tools, code repositories, and CI/CD pipelines. Uncover untapped operational insights with on-demand SRE tasks that turn any operational question into actionable insights, and create custom charts and reports to track metrics and share findings with your team. Streamline incident response by routing observations, findings, and mitigation steps through your preferred communication channels, ensuring every stakeholder stays aligned without manual effort. Seamlessly integrate with your existing stack using built-in connections to Amazon CloudWatch, Dynatrace, Datadog, Grafana, New Relic, Splunk, Azure DevOps, GitHub, and GitLab, or extend to custom tools via secure MCP servers. Strengthen deployment pipelines with agent-ready specs derived from incident analysis, enabling seamless implementation of updates to application or infrastructure code without manual translation.
Resolve incidents in minutes instead of hours by having the Seeker trace system anomalies and surface root causes automatically. Write precise PromQL queries without deep expertise as the Oracle translates plain language into optimized, validated queries. Onboard new services and connect OpenTelemetry telemetry in days, not weeks, following the Pathfinder's step-by-step guidance. Untangle complex distributed traces into clear cause-and-effect chains with the Threadweaver, revealing hidden bottlenecks and latency loops. Generate best-practice dashboards and SLO-based alert rules instantly using the Artist, which builds from existing telemetry data. Monitor real user experience continuously as the Lookout tracks Web Vitals, JavaScript errors, and session flows to correlate frontend issues with backend problems. Eliminate troubleshooting bottlenecks across the team by giving every engineer context-sensitive, explainable workflows instead of guesswork. Free senior engineers from repetitive query and triage tasks so they can focus on deeper architectural challenges. Maintain full data transparency and security because each agent shows exactly which telemetry data and tools drove its decisions.
Run AI coding agents at scale with full security and governance using self-hosted development environments provisioned through Terraform. Achieve tighter compliance across cloud and on-premise infrastructures through a centralized gateway that observes and controls LLM tool usage. Enable faster builds by allowing developers and AI coding agents to work in parallel within consistent, self-hosted workspaces. Maintain secure source code with granular control over compute, access, and context without exposing sensitive systems. Integrate AI development seamlessly with existing toolchains including AWS, Google Cloud, Azure, Kubernetes, Docker, GitHub, GitLab, Jupyter, and VSCode.