ZopNight now connects to Snowflake alongside your cloud providers: guided setup with Key-Pair (RSA) or Programmatic Access Token auth, full inventory discovery, and start/stop scheduling for warehouses to cut idle compute. Recommendations also read more accurately, so idle resources that can only be deleted no longer suggest 'Stop.'
New ZopNight: Snowflake support. Connect a Snowflake account alongside AWS, GCP, and Azure with a guided Key-Pair (RSA) or Programmatic Access Token setup, discover warehouses, databases, tables, stages, pipes, users, and resource monitors, and schedule warehouses on and off to cut idle compute
Improved ZopNight: recommendations now show the real action for every finding. Idle resources that can only be deleted (load balancers, NAT gateways, VPNs, and managed databases and caches) no longer say 'Stop'; each recommendation's safety guidance matches its actual action: delete, resize, or reconfigure
ZopNight now files Jira tickets straight from your cost recommendations — by hand or by policy — with two-way status sync. And Smart Tags replaces the old heuristic auto-tagger with virtual tags derived only from the tagging policies you define, used for cost attribution and never written back to your cloud.
New ZopNight: file Jira tickets straight from cost recommendations — connect Jira in Settings ▸ Integrations (classic or scoped tokens), file by hand or set a policy (e.g. a ticket for every idle resource over $50/mo). Each ticket carries the resource, savings, and suggested fix with a link back, status stays in two-way sync, and re-running never files a duplicate
New ZopNight: Smart Tags — virtual tags derived only from tagging policies you define (a new Tagging domain on the Policy page), used for cost attribution and never written back to your cloud, with a Smart Tags page to review and accept or revoke derived tags in bulk or per resource (replaces the old heuristic auto-tagger)
ZopNight now discovers and manages your Azure AI estate — Azure OpenAI, AI Foundry, Azure AI Search, and Azure Machine Learning — with real cost, metrics, scheduling, and recommendations. Databricks support extends to GCP, joining AWS and Azure, and recommendations can now be filtered by multiple categories at once.
New ZopNight: Azure AI & Machine Learning support — discovers and manages Azure OpenAI, AI Foundry, Azure AI Search, and Azure Machine Learning with real cost and Azure Monitor metrics, start/stop scheduling for Azure ML compute, and new recommendations for idle or over-provisioned AI Search, under-utilized OpenAI throughput, and idle ML compute
New ZopNight: Databricks support extended to GCP — discovery, cost, recommendations, scheduling, and start/stop now work on GCP Databricks workspaces (joining AWS and Azure), with guided account-console setup and a provider chip on every Databricks card
Improved ZopNight: filter recommendations by multiple categories at once (e.g. Rightsizing and Idle together), matching the severity and type filters, with a removable chip per selected category
ZopNight now lets you set a budget for an entire cloud account — not just individual resources or resource groups — with month-to-date spend shown per account. Budgets get a dedicated page under Settings → Budgets, with All / Applied / Not set filters to sort by budget status.
New ZopNight: set a budget for an entire cloud account — not just individual resources or resource groups — with each account showing its month-to-date spend
New ZopNight: budgets get a dedicated page under Settings → Budgets, with All / Applied / Not set filters to sort accounts by budget status
ZopNight extends Databricks support to AWS — connect your AWS Databricks workspace as a separate connection and ZopNight manages it end-to-end, from discovery and cost to savings recommendations and start/stop scheduling. ZopDay also lets admins create and edit Secret and Namespace manifests directly from the Kubernetes resource views.
New ZopNight: AWS Databricks support — connect your AWS Databricks workspace as a separate connection. ZopNight discovers clusters, instance pools, SQL warehouses, jobs, and model-serving endpoints with per-resource cost, recommends savings on idle instance pools and oversized clusters (priced against real pricing), and can start and stop clusters, instance pools, and SQL warehouses
New ZopDay: admins can now create and edit Secret and Namespace manifests directly from the Kubernetes resource views, with safety guards on the apply path to prevent accidental edits
ZopNight now covers AWS Bedrock and GCP Vertex AI end-to-end — discovering and managing the full estate of agents, models, knowledge bases, feature stores, endpoints, and jobs, with per-resource cost and metrics. Schedule recommendations can be applied in one click, and recommendation coverage and accuracy both widen across AWS and GCP.
New ZopNight: full AWS Bedrock support — discovers and manages agents, knowledge bases, guardrails, foundation/custom/imported models, provisioned throughput, flows, and customization, batch-inference, and evaluation jobs, with per-resource cost and metrics
New ZopNight: full GCP Vertex AI support — endpoints, models, indexes, feature stores, datasets, Workbench notebooks, reasoning engines, and training, tuning, batch-prediction, and pipeline jobs, with per-resource cost and metrics
New ZopNight: broader recommendation coverage — license-cost advisories (AWS + GCP), SageMaker GPU-idle endpoints, a revived NAT → VPC-endpoint advisory, and more orphan-cleanup rules (idle dashboards, unused alarms, idle GCP load balancers, abandoned S3 multipart uploads)
Improved ZopNight: apply a Schedule recommendation in one click — no need to recreate the schedule by hand
Improved ZopNight: more accurate recommendations — wider metric coverage (memory, GPU, and database-capacity signals across AWS and GCP) and a steadier 30-day scoring window reduce noisy or premature recommendations
ZopNight extends savings recommendations across your Azure Databricks compute — clusters, instance pools, SQL warehouses, jobs, and model-serving endpoints — covering rightsizing, spot discounts, governance, idle, and orphan cleanup. Idle recommendations also get safer and more accurate, and ZopDay can now show the logs of a container's previous, terminated instance.
New ZopNight: savings recommendations now cover Azure Databricks — clusters, instance pools, SQL warehouses, jobs, and model-serving endpoints — across rightsizing, spot discounts, governance, idle, and orphan cleanup
Improved ZopNight: idle recommendations are safer and more accurate — they default to scheduling instead of a one-shot stop, never suggest terminating active resources, and savings no longer double-count across recommendation types
Improved ZopDay: the cluster log viewer can now show the logs of a container's previous, terminated instance — useful for debugging a crash or restart
ZopNight now covers AWS SageMaker end-to-end — 11 more resource types discovered automatically, jobs costed by how long they actually ran, recommendations across endpoints and clusters, and HyperPod clusters schedulable on and off. The Cost Reports trend graph also draws daily savings as its own line.
New ZopNight: full AWS SageMaker coverage — 11 more types discovered automatically, jobs costed by actual runtime, and HyperPod clusters schedulable on and off (existing AWS customers grant new read permissions for full coverage)
New ZopNight: recommendations now cover SageMaker — idle and over-provisioned endpoints and clusters, batch jobs, managed-spot training, and security checks
New ZopNight: the Cost Reports trend graph now draws your daily savings as its own line alongside spend
Improved ZopNight: remediation failures now explain why in plain language, without leaking cloud identifiers, and show an actionable grant card with a console deep link
Improved ZopNight: Cost Reports → Tags paging is faster and lighter on accounts with many tags
ZopNight recommendations now extend to your Kubernetes clusters — health, autoscaling, storage, networking, and security — on a new Recommendations page, each with a ready-to-run playbook. Savings figures now track your real bill, and cost totals reconcile with your cloud invoice.
New ZopNight: Kubernetes recommendations for your clusters — health, autoscaling, storage, networking, and security — on a new Recommendations page, each with a ready-to-run kubectl/yaml playbook
Improved ZopNight: savings figures now match your real bill — part-time resources are no longer over-stated, totals can't exceed your bill, and more resource types are covered
Improved ZopNight: cost totals now reconcile with your cloud invoice — data transfer, taxes, fees, credits, and refunds are all counted, so headline totals may exceed per-team and per-tag breakdowns by design
Improved ZopNight: new overrides inherit the target's schedule timezone (shown in a tooltip), and you're warned upfront if the target already has an active override
Improved ZopNight: GCP VM install now uses the IAP SSH permission — existing GCP customers re-authorize their cloud account to enable it
ZopNight auto-remediation moves beyond stop and idle cleanups into a new rightsizing and config rule class, ~132 rules across AWS, Azure, and GCP, with all database-config rules guided (type-to-confirm). Architecture and Cost Reports also gain a unified tag picker that groups values under collapsible keys.
New ZopNight: a new rightsizing and config rule class takes auto-remediation to ~132 rules across AWS, Azure, and GCP — covering storage tiering, log retention, Lambda, RDS, and managed databases
New ZopNight: all database-config rules are guided (type-to-confirm)
Improved ZopNight: a unified tag picker on Architecture and Cost Reports → Tags groups values under collapsible keys, with search and per-value cost
Services running on ZopDay VM deployment spaces now have live metrics, logs, and events across AWS, Azure, and GCP, at parity with the cluster observability tab and with no SSH or public IP required. Quick Deploy adds repo-picker, GitHub PAT, and per-deployment hosts, and org-member search now runs server-side.
New ZopDay: live metrics, logs, and events for services on VM deployment spaces across AWS, Azure, and GCP, at parity with the cluster observability tab — no SSH or public IP needed
Improved ZopDay: Quick Deploy now works with repos picked from any connected integration, and adds GitHub PAT support and a unique public host per deployment
Improved ZopNight: the onboarding connect flow now uses the same steps as settings, fixing the stuck Azure Discovery Scope selector
Improved ZopNight & ZopDay: org-member search now runs server-side across all members by name or email
ZopNight now breaks cluster cost down to the workload — per-namespace and per-deployment spend across AWS (EKS), GCP (GKE), and Azure (AKS), including how much you pay for but don't use. It's a breakdown of the cluster's existing VM spend (reservations, savings plans, and spot included), not new charges, so cost summaries and the cloud bill never double-count.
New ZopNight: per-workload Kubernetes cost breakdown across AWS (EKS), GCP (GKE), and Azure (AKS) — see which namespace and deployment drives spend, and how much is idle waste
New ZopNight: workload cost is a breakdown of the cluster's existing VM spend (reservations, savings plans, and spot included), not new charges, so summaries and the cloud bill never double-count
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