The platform now has 51 modules, 316 active detectors and 140 Apex capabilities. New in this update: service and real user monitoring, cloud assessment and migration, AI Economics, Budgets, Cost Explorer, Software Spend, Carbon and a stronger set of governance and security tools.
Two new modules in Engineering put reliability next to cost.
Services, domains and regions across every connected cloud, with incidents, reliability objectives, a public status page and a labelled outage-cost estimate.
Traffic, pages, devices and sources from your cloud’s own logs with nothing to install, plus Core Web Vitals, errors, funnels and goals from an optional snippet. No cookies, no recordings.
Deploy & Migration now has three screens beyond repository planning.
Score a connected estate and export a board-ready assessment, without deploying or migrating anything.
Move a workload to another cloud with source and target readiness, waves and cutover evidence.
What your connected clouds are actually allowed to do, measured rather than assumed.
Import perspectives, organisation units, roles and policies, then run beside CloudHealth and compare the numbers.
Price one architecture on every cloud like for like, seeded from your own estate, with an exportable evaluation report.
What pull requests added, which releases moved spend and which team owns it, with pull request costs and releases beneath it.
New ways to plan, slice and prove.
Budgets over real cloud bills by any provider, service, account, region, team or tag, with forecasts, alerts and a ranked, approval-gated response plan for when one breaks.
Group spend by any two dimensions or a business mapping, save, share, schedule and export reports, or query with governed SQL.
A finished bill explained driver by driver: what moved, the day it moved, whose it was and what waiting cost.
Every claimed saving proven against the bill, pending or written off, and savings goals measured against your own baseline.
Small, staggered Savings Plan and reservation purchases inside a risk envelope you set, and commitments across every cloud as one portfolio with coverage targets.
SaaS licences and AI tools by the seat: idle seats, true-up risk and upcoming renewals.
AI Economics joins AI Infrastructure.
Every AI token and dollar traced to the team, person, service and business unit answerable for it, with a split of why it moved, efficiency, seat tools and controls.
Now 140 capabilities across 13 screens, including Investigations that rank the causes of a bill change and say how sure Apex is of each.
Controls that can be tested before they are enforced.
Write a guardrail in CEL, dry-run it on real pull requests and resources, then roll it out. A test lab, live drift, exceptions and evidence history sit beside it.
A time-to-live and a named owner for temporary resources. Expiry asks the owner before anything stops.
Value sources, drift and approval-gated remediation for missing tags.
Threat posture, spend at risk, activity, attack paths and attack surface in one place.
Vendors, resilience and monitoring signals: what you would lose if a vendor failed.
Findings mapped to controls, plus a data and trust page on how the platform handles your data.
For platform teams and enterprise administrators.
ServiceNow change control for remediation, Prometheus, Grafana, Sentry and Datadog beside a cost spike, PagerDuty and Opsgenie paging, and bring-your-own cost data from Snowflake, Databricks, Datadog or CSV, exported as FOCUS.
Roles for people and identity-provider groups scoped to workspaces, clouds or business units, and service accounts with scoped API keys for automation and Terraform.
Single sign-on over OIDC and SAML, SCIM provisioning, network access limits and a test sign-in before you enforce.
24 roles, outcome contracts with service credits and business reviews, and one communications agent for the whole workspace.
List products and services publicly, with a review pipeline and privacy-preserving analytics.
21 detectors, with data from the native API, a collector, Kubecost, OpenCost or the bundled in-cluster agent.
Varcio has 316 active detectors: AWS 102, Azure 73, Google Cloud 59, OCI 38, Kubernetes 21 and 23 cross-cloud detectors. The count is computed from the detector registry, not typed by hand.
It depends on the module. Service Monitoring, Real User Monitoring, Deploy & Migration, Database Health, Carbon and Workforce start on Pro. AI Infrastructure, AI Economics, Software Spend, Budgets and Cost Explorer are on every plan. See the pricing page for the full comparison.
On the capabilities page, which lists all 51 modules section by section.
Connect a cloud account and explore every module. Free trial, no credit card required.
