# StackGen > StackGen helps DevOps, Platform Engineering and SRE teams build an Autonomous Operations Factory. Its Aiden agents turn intent into spec-driven DevOps: they provision, deploy, remediate and observe across the tools teams already run, bounded by policy, approvals and an audit trail of every decision. AI made the developer inner loop fast, but operations did not change, so tickets, incidents and toil keep growing. Most AIOps and observability platforms stop at detection and create tickets for humans to act on. StackGen's agents go beyond detection to action, from generating governed infrastructure to remediating incidents, with teams setting the autonomy level per task, per environment and per team. > This file combines the full content of StackGen's core pages. For the short map, see https://stackgen.com/llms.txt ## Key Facts - Company: StackGen (formerly appCD), headquartered in the San Francisco Bay Area and globally distributed - Category: Autonomous Operations Platform ("Autonomous Operations Factory") for DevOps, Platform Engineering and SRE teams - Platform: Aiden OS, the governed agent platform beneath every Aiden agent: skills and workflows, policy as code, guardrails and approvals, scoped agent identity, cost ceilings (Tokenomics), model routing, and a signed audit record of every decision, grounded in a shared Aiden world model - Agents: Aiden for SRE (Remediate), Aiden for InfraOps (Build), Aiden for Observability (Observe), Aiden for DevOps (Operate, Early Access) - Autonomy levels: human in the loop, autonomous, or deterministic, set per task, per environment and per team - Works with: Terraform, OpenTofu, Pulumi, Helm, ArgoCD, Kubernetes, OpenTelemetry, Prometheus, Grafana, Loki, Jaeger, Datadog, Dynatrace, New Relic, Google Cloud Monitoring, PagerDuty, ServiceNow, Jira, Linear, Slack, Microsoft Teams, Backstage and Wiz, across AWS, Azure and GCP - Developer access: over MCP in AI coding tools such as Cursor, Claude Code, Kiro, VS Code and Windsurf; Aiden for InfraOps is available as a Kiro Power - Compliance frameworks built into Aiden for InfraOps: SOC 2, PCI DSS, HIPAA, FedRAMP, GDPR, NIST 800-53, NIST 800-171, NIST CSF, MARS-E, enforced by OPA at generation time - Security: SOC 2 Type II certified; customer data is never used to train Aiden or the underlying LLMs; Private SaaS and fully self-hosted deployment available - Recognition: Gartner Cool Vendor in AI for IT Operations, featured in four Gartner Hype Cycles, AWS Advanced Technology Partner, Google Cloud Partner - Customers on the site's logo wall: InMobi, Piramal, Innovaccer, Chamberlain, NIQ, Autodesk, Nielsen, PepsiCo, greytHR, Lowe's, SAP NS2; testimonials also from Bancolombia and OneTrust - Customer outcomes: - Aiden for SRE: greytHR cut incident MTTR by 50% and observability support tickets by 90% - Aiden for InfraOps: Innovaccer went from contract to deployment in under 1 day, with hundreds of standardized AWS and Azure stacks and 6 compliance frameworks - Aiden for InfraOps: a large LatAm bank cut application deployment time from six months to weeks with self-service infrastructure - Original research: State of Reliability 2026, based on 178,000+ status-page incidents and 1,037 engineering post-mortems. Headline finding: AI now accounts for 1 in 10 incidents, a 6x rise in three years - Leadership: Sachin Aggarwal (CEO and Co-Founder) and Arshad Sayyad (Co-Founder) - Backed by Thomvest Ventures, WestWave Capital, FireBolt and Secure Octane ## FAQ **What is StackGen?** StackGen is an Autonomous Operations Platform. Its Aiden agents perform infrastructure and operations work that teams currently do manually, including provisioning, incident response, remediation, cost optimization and compliance enforcement. The goal is to shift SREs and Platform Engineers from reactive toil to proactive engineering. **Who is it for?** DevOps, Platform Engineering and SRE teams. StackGen's view is that developers went AI-native while operations did not, leading to more tickets, more incidents and more toil. **How is StackGen different from AIOps or observability tools?** Most AIOps and observability platforms stop at detection: they correlate alerts, surface anomalies and create tickets for humans to act on. StackGen goes beyond detection to action. Its agents do not just report that a node is over-provisioned or a deployment has drifted; they remediate it. **Do the agents take action without human approval?** Teams control the autonomy level. Every agent operates within guardrails the team defines, from fully autonomous execution for well-understood operations (such as right-sizing non-production resources or remediating known drift) to human-in-the-loop approval for sensitive changes (such as production deployments or IAM policy updates). Most customers start in recommend-and-approve mode and expand autonomy as trust builds. In Aiden for SRE, every remediation action requires approval before execution. **How does StackGen fit with Terraform, Kubernetes and an existing monitoring stack?** StackGen does not replace the existing toolchain; it operates on top of it. Its agents work with Terraform, Pulumi, Helm, ArgoCD, Prometheus, Grafana and the tools a team already uses. Pipelines, ticketing and monitoring stay the system of execution. **What does each Aiden agent do?** Aiden for SRE investigates every alert and remediates issues on approval. Aiden for InfraOps turns developer intent into governed Terraform or OpenTofu and manages infrastructure from day 0 to day 2. Aiden for Observability runs a managed open-source observability stack with AI-driven analysis. Aiden for DevOps triages DevOps tickets and runs matched runbooks after operator review, policy checks and approval. **How do teams typically get started?** Most teams start with a single high-toil workflow, such as infrastructure drift remediation, alert noise reduction, cloud cost right-sizing, or automated incident response for known failure patterns. A typical pilot runs 4 to 6 weeks on a non-production or low-risk environment, and teams usually see measurable toil reduction within the first two weeks. **Is StackGen secure and compliant?** StackGen is SOC 2 Type II certified, and customer data is never used to train Aiden or the underlying LLMs. Aiden can be deployed in a customer's own network or cloud as Private SaaS or fully self-hosted, with full control over which LLMs are used. Every agent holds its own scoped credential, and every decision is written to a signed record that can be handed to an auditor. **Can observability data stay inside our environment?** Yes. Aiden for Observability can run in public cloud, private SaaS, on-premises or hybrid, with data residency in the region you choose and telemetry kept inside your own network boundary. --- # Core Pages ## Home: Build your Autonomous Operations Factory Source: https://stackgen.com/ Turn intent into spec-driven DevOps. Built for Platform Engineering, DevOps and SRE. Trusted by platform teams building the future: InMobi, Piramal, Innovaccer, Chamberlain, NIQ, Autodesk, Nielsen, PepsiCo, greytHR, Lowe's, SAP NS2. ### Ops is not keeping up with AI-driven development Increased tickets. Increased incidents. Increased toil. Your developers went AI-native. Your Ops should too. Move from development to production with controlled agents for the outer loop. - Build: Ship infra at AI speed. Governed Terraform, built from your approved modules. - Operate: Scale impact, not tickets. Runbooks matched, run after operator review. - Observe: O11y without the upkeep. OpenTelemetry on Grafana and Prometheus, managed. - Remediate: Your AI SRE teammate. Investigates every alert, remediates on approval. ### Start anywhere with purpose-built agents for the toolchain you already own **Aiden for SRE: Your AI SRE teammate.** Agentic remediation that resolves issues across multi and hybrid cloud environments, integrating across your developer and platform toolchain, including Kubernetes, observability and DevOps. - Auto service discovery: scans the stack, builds topology and dependencies - Alert triage with SLO-based prioritisation: severity, error budget, blast radius - Actionable RCA: invokes pre-built workflows, learns from new incident remediation - Human-approved remediation: pre-approved tasks with full audit trails - GreytHR cuts incident MTTR 50% and O11y support tickets 90% with Aiden AI Agent. **Aiden for InfraOps: Ship infra at AI speed.** Describe intent and get governed Terraform back. Every change is policy-checked before it ships. Drift is caught and remediated continuously. Accessible via MCP inside the harness your teams already use (for example Cursor, Claude Code, Kiro). - AI IDE-based infra creation over MCP: describe intent, get governed Terraform / OpenTofu - Producer / consumer model: platform teams set golden modules, developers self-serve safely - Cloud Discovery and Cloud-to-Code to standardize existing infra into modular infrastructure across cloud accounts and layers - Continuous drift detection and auto-remediation, with full audit trails - Large LatAm Bank cuts application deployment time from six months to weeks with self-service infrastructure. **Aiden for Observability: Observability without the upkeep.** A managed, open-standards observability platform: metrics, logs, traces and APM in a single pane. Drop-in Prometheus remote-write, native PromQL, no per-host pricing or cardinality surcharges. Your existing skills transfer; your existing dashboards keep working. - Unified metrics, logs, traces and APM: open standards, no lock-in - Drop-in Prometheus remote-write: no re-instrumentation - Native PromQL, pre-configured Grafana dashboards, 300+ out-of-the-box integrations - SLO management and error budgeting built in **Aiden for DevOps: Scale impact, not tickets.** Automate requests from ServiceNow, Jira and Linear in one operations inbox: triaged, matched to a workflow, with reasoning shown. Select your autonomy level, and see the decision trace on every ticket. - Automate DevOps requests from a single inbox - Continuous recommendations on content and workflow changes to increase autonomy level - Full execution record kept on every ticket for visibility and auditability ### Proof from production - "Managing infrastructure across an estate of Nielsen's scale requires more than automation, it requires governance to be built into the process from the start. StackGen's Aiden for InfraOps gives our engineering teams a governed way to provision cloud infrastructure, while our close collaboration with StackGen is helping shape the platform around the requirements of a complex, multi-account environment." Pankaj Saxena, Vice President, Technology, Nielsen - "We share the same vision as StackGen, where agentic factories are the future. We're using agents to connect policy, intent, execution and verification to Bancolombia's strategy. For us, the future is intent-driven autonomous operations." Camilo Piedrahita Macías, Senior Director, Developer Platforms, Bancolombia - "StackGen delivers real value for us by automating observability and incident response. We are increasingly automating the rest of the operations life cycle, building what we think of as an operations factory run with autonomous agents. StackGen's vision of combining automation with governance is compelling." DV Lamba, Chief Product and Technology Officer, OneTrust - "StackGen turned our infrastructure from script wrangling into building with LEGO blocks. It's been a game changer for our team." Bill Burton, VP Cloud Engineering, Innovaccer - "StackGen's Aiden transformed how our engineers interact with observability. Natural language insights replaced complex queries and reduced dependency on SREs." Abhishek Gaurav, Head of Engineering & DevOps, GreytHR --- ## Platform: Aiden OS, the Agentic OS for the AI native SDLC Source: https://stackgen.com/platform Aiden is a purpose built Agentic OS for DevOps, Platform Engineering and SRE teams, covering the entire life cycle of Build, Operate, Observe and Remediate. ### Everything behind the agents Aiden OS is the layer that decides what an agent may do, what it may spend, who it acts as, and what it leaves on the record. Skills and workflows run on it. Policy, identity and evidence bind it. - Skills & Workflows: The reusable units an agent runs. Author once, version them, and every agent in every play calls the same tested step. - Policy as Code: What each agent may touch, in which environment, at which autonomy rung, declared in version control, not configured in a console. - Guardrails & Approvals: Scope every agent by service, environment and change class, and put a named human on the changes you decide need one. - Identity & Access: Every agent holds its own scoped credential and shows up in your logs as itself. No shared key, no borrowed human account. - Tokenomics: A cost ceiling per run, per agent and per team, enforced before the spend, so autonomy never turns into an unbounded invoice. - Audit & Evidence: Every decision, the objective version behind it and both agents' positions, written to a signed record you can hand an auditor. - Integrations: Your pipeline, ticketing and monitoring stay the system of execution. Agents act through them; the world model reads from them. - Model Routing: Every step goes to the model that suits it, balanced across quality, speed and cost, without anyone hard-coding a model into a workflow. Bounded by policy. Running on the tools you already have. ### Aiden world model: grounded in how you actually run production The world model ingests data across your stack all the way from infrastructure to code to production, and your tribal knowledge. All Aiden agents operate with this shared context. - Context graph: World Model provides the operational context needed to operate autonomously. - Policy and rules: Approvals, blast-radius limits, and org standards so agents act inside the same gates humans already trust. - Operational memory: Every result updates future gates and runbooks for the next agent run. ### Governed autonomy: humans keep authority, the factory absorbs toil You define goals, guardrails and autonomy levels. Aiden gathers evidence, makes decisions, and executes with continuous learning. - Where it runs: Sources of truth across code with infra, runtime state, and knowledge, queryable in real time. - What it may do: Governance with RBAC and policy binds every agent the same way they bind humans. Human-in-the-loop when the stakes require it. - What it actually did: Decision traces for each input, each decision, and each action. Every trace is durable and replayable for audit. Set autonomy per task, per environment, and per team: human in the loop, autonomous, or deterministic. ### Platform FAQ **What is an Autonomous Operations Platform?** An Autonomous Operations Platform uses AI agents to perform infrastructure tasks that teams currently do manually: provisioning, incident response, remediation, cost optimization, and compliance enforcement. Unlike monitoring tools that surface problems for humans to fix, StackGen agents take action autonomously: they build infrastructure from intent, heal degraded services, enforce guardrails, and optimize resources continuously. The goal is to shift your SREs and Platform Engineers from reactive toil to proactive engineering. **How is this different from AIOps or observability tools?** Most AIOps and observability platforms stop at detection: they correlate alerts, surface anomalies, and create tickets for humans to act on. StackGen goes beyond detection to autonomous action. Our agents don't just tell you a node is over-provisioned or a deployment drifted from its desired state; they remediate it. Think of the difference as the gap between a dashboard that shows you have 400 alerts and an agent that resolves 390 of them before your team sees them. **What does "autonomous" actually mean? Do agents take action without human approval?** You control the autonomy level. Every StackGen agent operates within guardrails your team defines, from fully autonomous execution for well-understood operations (like right-sizing non-production resources or remediating known drift) to human-in-the-loop approval for sensitive changes (like production deployments or IAM policy updates). Most customers start with recommend-and-approve mode and expand autonomy as trust builds. The platform logs every decision and action for full auditability, which matters for SOC 2, HIPAA, and other compliance frameworks. **We already have Terraform, Kubernetes, and a monitoring stack. How does StackGen fit in?** StackGen doesn't replace your existing toolchain; it operates on top of it. Our agents work with Terraform, Pulumi, Helm, ArgoCD, Prometheus, Grafana, and the tools your team already uses. The difference is who's driving. Today, your engineers write the HCL, watch the pipelines, tune the alert thresholds, and right-size the instances. StackGen agents handle that operational work so your team focuses on architecture, reliability strategy, and platform capabilities that actually move the business forward. **How do teams typically get started?** Most teams start with a single high-toil workflow: the one that burns the most engineering hours with the least strategic value. Common starting points include infrastructure drift remediation, alert noise reduction, cloud cost right-sizing, or automated incident response for known failure patterns. A typical pilot runs 4 to 6 weeks on a non-production or low-risk environment, and teams usually see measurable toil reduction within the first two weeks. From there, customers expand across workflows and environments as confidence in the agents grows. --- # Products ## Aiden for SRE: Your AI SRE teammate Source: https://stackgen.com/product/aiden-for-sre Aiden learns your environment, investigates every alert, and remediates issues to keep your production intact. It runs with your existing O11y and on-call tools. Discovery, triage, root cause and remediation are automated end to end, with humans on the decisions that affect your SLOs. A community edition is available. - Intelligent discovery: Auto-discover infrastructure, services, and dependencies from your existing observability stack, with no manual mapping required. Discovers from your observability stack; maps AWS, GCP, and Azure cloud infrastructure; builds service topology and dependency graphs. - Alert intelligence: Cut through alert noise with automated correlation, deduplication, and severity classification by blast radius. Auto-categorize by severity and service impact; suppress noise and correlate related alerts; enrich alerts with RCA based on context from the Aiden World Model. - Actionable root cause analysis: Trace incidents across service dependencies, correlating logs, metrics and events into a probable cause with its evidence. Anomaly detection across metrics and logs; dependency mapping for impact assessment; error pattern recognition and signatures. - Automated incident remediation: Executes remediation workflows for common scenarios with full audit trails, looping in humans for approvals where oversight is needed. Service restarts, scaling, and traffic routing; deployment rollback with approval gates; complete audit trails for every action. - Achieve your SLOs: Aiden tracks error budget burn in real time and acts before a breach, not after. Real-time error budget consumption tracking; predicts and remediates issues before your error budget runs out; prioritizes by SLO impact, not alert volume. ### Customer testimonials - "Aiden is global and never sleeps. If I have a never-sleeping global team, let them talk to a never-sleeping agent." VP of Cloud Infrastructure and Operations, Global Enterprise - "Aiden transformed how our engineers interact with observability. Natural language insights replaced complex queries and reduced dependency on SREs." Abhishek Gaurav, Head of Engineering & DevOps, greytHR - "What used to take 10 to 15 minutes of manual log hunting now takes under 2 minutes with Aiden running the queries for us. And that's time we now spend on proactive work, not firefighting." Vishwajeet Kumar, Team Lead, StackGen DevOps/SRE ### Aiden for SRE FAQ **What observability tools does Aiden integrate with?** Aiden integrates with Grafana, Prometheus, Loki, Jaeger, Datadog, Dynatrace, NewRelic, and Google Cloud Monitoring. We also connect with PagerDuty, Jira, Slack, and Microsoft Teams for incident management. **Does Aiden automatically fix issues without human approval?** No. Aiden uses human-in-the-loop remediation: every action requires your approval before execution. Full audit trails are maintained for compliance and accountability. **How long does it take to discover my infrastructure?** Initial discovery runs when you connect your observability stack. Most environments complete discovery within hours. You can schedule recurring discovery or trigger it manually. **What if Aiden doesn't support my specific tech stack?** Aiden works with AWS, GCP, Azure, Kubernetes, and common databases and message queues. Check our integrations page for the full list, or contact us about specific requirements. **How is Aiden different from traditional AIOps platforms?** Unlike AIOps tools that require extensive setup, Aiden auto-discovers your environment and ships with 50+ pre-built tasks. We integrate with your existing observability stack rather than replacing it. --- ## Aiden for InfraOps: Ship infra at AI speed Source: https://stackgen.com/product/aiden-for-infraops Agentic infrastructure lifecycle management. Aiden for InfraOps turns a developer request into Terraform or OpenTofu, built from your approved modules, checked against your policies, and queued for approval before anything reaches your cloud. - Self-service: Developers ask in their own tools. No ticket queue and no context switch. Requests come from IDEs, coding agents, from the CLI over MCP, or from ServiceNow when a system of record is required. - Standardized: Every request builds on your modules. Aiden starts from your curated golden module catalog, so what a developer receives is the pattern your platform team already approved, emitted as standard Terraform or OpenTofu. - Guardrails: Policy is checked before deployment. OPA policy runs at generation time, not after the fact. Non-compliant infrastructure is rejected with the reason and the fix, before anything reaches your cloud. ### From intent to infrastructure Aiden turns developer infrastructure requests into Terraform or OpenTofu, with policy checks and team approval before deployment. It meets application developers where they are: MCP, coding agents and Backstage. Aiden for InfraOps is now available as a Kiro Power: go from plain-English developer intent to a production-ready, security-hardened application on Amazon Web Services (AWS). ### Discover existing infrastructure. Build on approved modules. - Bring what's already running through Cloud Asset Discovery: discover your existing infrastructure and bring its topology and code into one workspace. - Build once. Reuse your standards: Aiden starts with your approved modules, so teams build on the patterns you trust. ### Infrastructure that conforms to your security and compliance policies Aiden checks proposed IaC against your security and compliance policies, blocking noncompliant changes before deployment. Built-in compliance frameworks: SOC 2, PCI DSS, HIPAA, FedRAMP, GDPR, NIST 800-53, NIST 800-171, NIST CSF, MARS-E. Enforced by OPA at generation time, with IaC scanning built in and via Wiz. ### Day 0 through day 2, in one control plane Generating infrastructure is the easy half. Aiden also imports what is already running, watches it for drift, and keeps a record of who changed what. - Day 0, Discover: Import Terraform and OpenTofu state to inventory brownfield and ClickOps estates. No rip-and-replace. - Day 0, Design: Organize resources on a topology canvas and package them into appStacks by team and project workspace. - Day 1, Provision: Requests become policy-checked IaC, held for approval, then applied through centrally governed remote runs. - Day 2, Detect drift: Live cloud resources are compared continuously against defined IaC state, usable as a CI/CD pipeline gate. - Day 2, Govern: RBAC at enterprise, project and user scope, with audit and activity logs for every deployment and change. ### What Aiden for InfraOps users are saying - Intent-driven infrastructure: "StackGen is the engine that makes this possible: it turns developer intent into hardened, compliant OpenTofu with our security policies built in." Director, Developer Experience - Standardized, compliant infrastructure at Innovaccer: "When you're managing hundreds of customized environments, you end up with script bloat and forks. StackGen gives us the core building blocks so my team can step up a level: LEGO bricks we can stack on top of each other, instead of piecemealing it together every time." Bill Burton, VP Cloud Engineering, Innovaccer. Results: under 1 day from contract to deployment; hundreds of standardized AWS and Azure stacks; 6 compliance frameworks. - Migration Factory at a Global Enterprise: "I looked at several different tools, and I kept coming back to StackGen [Aiden] as the one that can give me what I need from a holistic standpoint." Senior Engineer, Infrastructure and Systems, Global Enterprise ### Aiden for InfraOps FAQ **How does Aiden ensure my infrastructure follows our security and compliance requirements?** Aiden integrates directly with your existing governance policies and automatically validates every infrastructure request against your security, compliance, and architectural standards. Unlike manual processes, it prevents policy violations before they reach production, ensuring 100% compliance without slowing down deployments. **Can Aiden work with our existing InfraOps and tools?** Yes. Aiden integrates with your current cloud environments (AWS, Azure, GCP), CI/CD pipelines, and developer tools like Backstage. It generates standard Terraform/OpenTofu code that works with your existing workflows while adding autonomous intelligence on top. **What happens if Aiden makes a mistake or I need to modify the generated infrastructure?** Aiden generates clean, readable infrastructure-as-code that you can review, modify, and version control like any other code. Every change includes automatic rollback capabilities and drift detection to maintain infrastructure integrity over time. **How much infrastructure knowledge do developers need to use Aiden effectively?** Zero. Aiden is designed for application developers who want to focus on features, not infrastructure. Simply describe your application's needs in plain English, and Aiden handles the cloud complexity, networking, security, and operational requirements automatically. **How does Aiden for InfraOps differ from Aiden for DevOps?** Aiden for InfraOps is a specialized agent for infrastructure management that is vertically integrated with StackGen's Platform, which provides deterministic governance and other related tooling to help Platform Engineers successfully support their developers. --- ## Aiden for Observability: Full-stack observability for 50% less Source: https://stackgen.com/product/aiden-for-observability Aiden runs an OpenTelemetry-based stack on Grafana and Prometheus, adding AI-driven analysis and correlation. One managed platform, with Aiden built in: open standards, AI-driven analysis, and deployment wherever your data has to live. - Deploy full-stack observability in minutes: Run a gold-standard OSS stack, managed for you and configured out of the box. Unified metrics, logs, traces and APM in a single pane; use your existing OpenTelemetry integrations or instrumentation; automated alerting rules and multi-channel notification. - Data control and compliance: Deploy in any cloud or private network with a private SaaS option, meeting data residency and governance requirements without giving up the managed experience. Public cloud, private SaaS, on-premises or hybrid; data residency held in the region you choose; telemetry stays inside your own network boundary. - Signals that arrive connected: Aiden ties alerts to the deploys and changes behind them, so you start from the cause, not a queue. Alerts correlated with deployments and change events; anomaly detection across metrics, logs and traces; error pattern recognition. Ask questions, build dashboards, and set alerts in plain English, with no query language to learn. - Aiden in your developer surfaces: Aiden reaches VS Code, Cursor, Windsurf and more, so telemetry answers arrive without a context switch. Check service health without opening a dashboard; dashboards and SLOs queryable as structured context; read scope by default, with the same access controls applied. ### Aiden for Observability FAQ **How does Aiden for Observability integrate with my existing tools and infrastructure?** Aiden for Observability connects with your technology stack through 300+ out-of-the-box integrations built on OpenTelemetry standards. Whether you run workloads in the cloud, on-premises, or in hybrid environments, it ingests and correlates telemetry from applications (including APM data, custom metrics, and distributed traces), infrastructure (such as AWS, GCP and Azure, Kubernetes clusters, servers, and containers), and services (including databases, message queues, CI/CD pipelines, and third-party SaaS tools). Each integration comes with pre-configured dashboards and alerting rules. The open standards foundation means it works with your existing observability stack without forcing you to rip and replace. **Can I deploy Aiden for Observability in my own environment for compliance requirements?** Yes. You can choose public cloud for standard SaaS deployment, private SaaS for a dedicated environment in the cloud, on-premises for complete control within your own infrastructure, or hybrid deployments that mix cloud and on-prem. This keeps you in control of sensitive telemetry data while meeting regulatory compliance standards. **How quickly can I get started with Aiden for Observability?** It is designed for rapid deployment: you can start monitoring in minutes. The platform provides 300+ out-of-the-box integrations with automated configurations, pre-built Grafana dashboards tailored to each integration, automated alerting rules and multi-channel notifications, and instant correlation of logs, metrics, traces, and APM data. **What's the difference between Aiden for Observability and other observability platforms?** Unlike proprietary vendor tools, Aiden for Observability provides a unified platform that serves as a single pane of glass for logs, metrics, traces, and APM. It is built on open standards using OpenTelemetry to prevent vendor lock-in, delivers 50%+ lower TCO compared to legacy vendors, and offers public, private, or on-prem deployment. It also provides customer-facing dashboards that let you share curated views externally. **Can I share observability data with my customers or external stakeholders?** Yes. Customer-facing dashboards let you share curated, real-time insights with customers, partners, or other teams without giving them access to your entire observability platform. You control what data is shared, including SLOs, system health, and performance metrics. --- ## Aiden for DevOps: Scale impact, not tickets (Early Access) Source: https://stackgen.com/product/aiden-for-devops Aiden classifies tickets, matches approved runbooks, and executes DevOps workflows after operator review, policy checks, and approval. - Automate DevOps requests, from request to closed ticket: Discovery, triage, root cause and remediation, automated end to end, with humans on the decisions that affect your SLOs. - Policies, governed execution across your SDLC: Aiden checks environment scope, permissions, and required approvals before running a runbook. - Single inbox: Manage tickets from a single inbox. Developers stay in context when they submit requests, and DevOps team workflows are streamlined. ### Aiden for DevOps FAQ **Is my data used for training?** No. Your data is never used to train Aiden or the underlying LLMs. StackGen is SOC 2 Type II certified and supports private deployment options for complete data control. **Do I need to connect my repositories and cloud accounts?** No. Aiden works standalone, and you can ask DevOps questions without any integrations. Connecting at least one code repository helps Aiden provide more precise, context-aware insights about your specific infrastructure. **Can Aiden be customized to our processes?** Yes. Aiden includes pre-trained skills for common tasks and supports custom skill training to align with your team's workflows and policies. **Can I deploy Aiden in my own environment?** Yes. You can deploy Aiden in your own network or cloud, either as Private SaaS or fully self-hosted, with full control over which LLMs to use. **Does Aiden work with the StackGen Infrastructure Management platform?** Yes. The Aiden for InfraOps add-on unlocks this specialized workflow between StackGen's infrastructure platform and Aiden. --- # Company ## About: Charting the path to autonomous operations Source: https://stackgen.com/about At StackGen, we help organizations move towards autonomous cloud operations with AI agents that can build, operate, observe and remediate cloud services. Mission: Eliminate operational inefficiencies in cloud operations, by leveraging agents and context that can learn, adapt and evolve independently. Values: Think big. Be bold. Take ownership. Collaborate. Be humble. ### Meet the people behind StackGen Our team has deep technical and operational expertise to help solve these challenges. We are globally distributed because talent comes from everywhere. - Sachin Aggarwal, CEO and Co-Founder - Cesar Rodriguez, VP, Engineering - Raj Nagarajan, VP, Product Management - Sanjeev Sharma, Field CTO, VP, Platform and Customer Success - John Jamie, VP, Marketing - Ray Edwards, VP, Sales - Tilak Yalamanchili, VP, Partnerships and Strategy - Arul Jegadish Francis, VP, Engineering, AI - Kunal Dabir, VP, Engineering, India ### Backed for the long build We are thrilled to partner with top-notch investors that support our mission in bringing this revolutionary technology to DevOps and developers around the world. See the factory run end to end: bring your own stack. Aiden discovers it, filters the noise, and shows its reasoning before anything executes. _Last updated: 2026-09-22._ --- # Further Reading The pages below are part of StackGen's site but are not yet included in this file in full. See llms.txt for the complete link map. - Case studies: https://stackgen.com/case-studies - Research, State of Reliability 2026: https://stackgen.com/state-of-reliability-2026 - Blog: https://stackgen.com/blog - Whitepapers, e-books and brochures: https://stackgen.com/white-papers-ebooks-brochures - Videos and webinars: https://stackgen.com/videos-and-webinars - Events: https://stackgen.com/events - Documentation: https://docs.stackgen.com/docs - Partners: https://stackgen.com/partners - Analysts: https://stackgen.com/analysts - Newsroom: https://stackgen.com/press-news - Careers: https://stackgen.com/careers - Contact: https://stackgen.com/contact-us