Ask in plain English
Explore AWS costs and resource utilization without digging through multiple consoles.
Control cloud costs. Investigate incidents. Improve service reliability.
N2S Labs is being built to help engineering teams across cloud environments investigate costs, understand incidents, review service-health signals, and improve reliability—with evidence-led AI insights and customer-controlled workflows. AWS is the initial focus, with multi-cloud expansion planned.
CLOUDOPS + SRE OVERVIEW
Illustrative AWS operations workspace
Investigate spend spikes, service alerts, metrics, and log evidence.
Illustrative interface only. No live customer data is shown; SRE features are planned.
CLOUD COST INTELLIGENCE
Bring cost signals, resource context, and practical recommendations together in one straightforward workspace.
Explore AWS costs and resource utilization without digging through multiple consoles.
Surface idle resources, unused storage, and potential rightsizing opportunities backed by available AWS data.
Start with read-only access. Review recommendations before any future remediation is enabled.
See the assumptions, estimated impact, and data freshness behind each finding.
EXPANDING CLOUDOPS SKILLS
N2S Labs is designed to grow into an AI-assisted cloud operations workspace. We’ll build these capabilities in phases, with AWS-first foundations and customer-controlled access.
Investigate spend changes, identify idle resources, review rightsizing opportunities, and understand potential savings. Initial focus
Build a clearer view of compute, storage, databases, and resource usage to support operational decisions. Planned
Bring alerts, events, and service context together to help teams investigate issues and identify likely causes. Planned
Surface selected configuration risks and hygiene opportunities, with evidence and clear remediation guidance. Planned
Help operators standardize repeatable tasks and runbooks, with approvals and guardrails for sensitive actions. Planned
Keep recommendations explainable and design for decision history, approvals, and traceable operational changes. Planned
Explore database health, capacity, and performance signals to support investigation and optimization. Future direction
Extend the cloud operations experience to Azure and Google Cloud after validating the AWS-first product. Future direction
SITE RELIABILITY ENGINEERING
Bring practical SRE workflows into the cloud operations experience—from service health and incident response to reliability reviews and controlled automation. These capabilities are planned unless explicitly marked otherwise.
Track service-level indicators, define service-level objectives, and understand error-budget burn to balance reliability and release speed. Planned
Group related alerts, highlight actionable signals, and help teams reduce repetitive or low-value pages. Planned
Build incident timelines from available events and logs, summarize evidence, and assist root-cause investigations without claiming certainty. Planned
Correlate metrics, logs, traces, and deployment events across supported monitoring tools. Planned
Review saturation, latency, traffic, utilization, and scaling signals to identify bottlenecks and capacity risks. Planned
Assess backup and recovery readiness, availability patterns, dependency risks, and disaster-recovery runbooks. Planned
Connect deployments with service health, support release checks, and guide rollback decisions with human approval. Planned
Standardize operational procedures, automate repeatable tasks, and track recurring manual work with guardrails. Planned
A SIMPLER WAY TO MANAGE AWS
Connect your AWS environment, understand what is driving spend, and evaluate opportunities with clear evidence. N2S is designed to keep customers in control at every step.
Start with early access →Use a scoped, read-only cross-account role.
Bring cost and resource signals into context.
Explore evidence-based findings and estimated savings.
Keep control of changes; approval-gated actions are planned for a later release.
SECURITY AND GOVERNANCE
Cloud operations should be explainable and customer-controlled—not a black box.
Begin with scoped visibility instead of broad write permissions.
Recommendations should be traceable to observed data and stated assumptions.
Remediation is planned as a governed, approval-gated capability.
Build a clear record of findings, decisions, and actions as the product evolves.
SIMPLE, TRANSPARENT PLANS
Pricing shown below is a planning concept, not a live offer. Final plans will be confirmed before launch.
For exploring your AWS footprint
For growing AWS teams
For governed workflows
EARLY ACCESS
Tell us a little about your team and what you need from AWS cost intelligence. This form is a front-end demo; it does not transmit or store your details yet.
✓ Read-only-first product direction
✓ Practical cost and resource insights
✓ Feedback-led product development