OpsWorker
OpsWorker is an AI SRE platform that automatically investigates Kubernetes alerts from Prometheus, Grafana, Datadog or CloudWatch, then delivers root-cause analysis and copy-paste kubectl fixes to Slack in under two minutes, without ever touching your cluster.
What is OpsWorker?
OpsWorker is an AI SRE production intelligence platform for engineering teams that run Kubernetes in production. It deliberately occupies a narrow slot: it sits between the monitoring stack and the engineers, it does not collect metrics and it does not fire alerts, it investigates the alerts other tools raise. When Prometheus AlertManager, Grafana Alerting, Datadog or AWS CloudWatch triggers, OpsWorker starts working immediately rather than waiting for someone to open a terminal. The investigation runs through a pipeline of five specialised agents. An extraction agent parses the alert metadata. A topology agent walks the Kubernetes resource graph from pod to service to deployment to ingress and validates the wiring between them, checking selectors, labels and ports. A dependency agent maps how services relate. An investigation agent gathers live runtime data, logs, events, configurations and resource metrics. An analysis agent synthesises all of it into a root cause with specific remediation commands. The vendor puts the whole cycle at under two minutes, against a manual investigation it estimates at 30 to 80 minutes. Access to the cluster comes from a lightweight agent installed with a Helm chart. It runs strictly read-only with the built-in view ClusterRole, it does not read Secret values unless that is explicitly enabled, and it talks outbound only through AWS SQS over TLS, so no inbound port has to be opened. A default install runs three pods: the agent and two MCP servers, for Kubernetes and Grafana. Results land in Slack, where an Investigating message is updated with the finished analysis and where engineers rate it by emoji, button or detailed form. Beyond incidents, the platform builds a persistent model of the production system at cluster, organisation and personal level, watches staging environments for recurring problems, opens fix pull requests on GitHub or GitLab, and flags over-provisioned resources. It never executes anything: commands are shown for human review, and the agent is technically incapable of writing to the cluster.
What it does
- Investigate every Kubernetes alert automatically, the moment it fires
- Return a root-cause analysis with supporting evidence in under two minutes
- Deliver copy-paste kubectl remediation commands straight into Slack
- Answer follow-up questions about a cluster or an investigation in conversational chat
- Map service dependencies and show the blast radius of a failure
- Open pull requests on GitHub or GitLab for preventive and corrective fixes
- Report alert volume, completed investigations and engineering time saved
When to use OpsWorker / When not to
A quick filter to help you decide if OpsWorker is the right fit.
When to use OpsWorker
- SRE teams running production Kubernetes clusters and handling 20 to 200 alerts a week
- DevOps and platform engineers who support developer teams on shared Kubernetes infrastructure
- On-call engineers who have to diagnose incidents at 3 a.m. without full system context
- Engineering managers of 10 to 50 person teams who want to measure and cut investigation time
- European engineering organisations that need data to stay in EU AWS regions or inside their own infrastructure
When not to use OpsWorker
- Teams with no Kubernetes footprint, since every capability is built around cluster resources
- Organisations without an existing monitoring stack, because OpsWorker investigates alerts but never fires them
- Teams expecting fully automatic remediation, as the agent is deliberately unable to write to a cluster
- Individuals and consumers, since the terms restrict the service to business entities
- Buyers who need a published price list before opening a conversation with a sales team
How to use OpsWorker
A typical end-to-end flow, from setup to results.
- Create an account on the OpsWorker portal, by email or Google single sign-on
- Create a workspace and register your first cluster
- Deploy the read-only Kubernetes agent with the provided Helm chart
- Narrow the agent to specific namespaces with role-scoped RBAC if you want tighter access
- Point your alert source at OpsWorker by webhook: Prometheus AlertManager, Grafana Alerting, Datadog or AWS CloudWatch
- Connect Slack so investigations and daily digests reach the channel your team already uses
- Connect GitHub or GitLab if you want code context and automatically generated fix pull requests
- Run the built-in simulated alert to validate the whole pipeline before going live
- Define your alert rules and notification routing per cluster
- Read investigations in Slack, ask follow-up questions in the investigation chat, and restart an investigation when you have extra context
Pros & Cons
Pros
- The in-cluster agent is technically unable to write: read-only role, no Secret values by default, outbound-only traffic
- The vendor states that customer data is never used to train, fine-tune or improve shared AI models
- Unusually candid documentation, which names what the tool is not and admits holding no compliance certification
- Adds a layer to the existing stack instead of replacing it, so Prometheus and dashboards stay untouched
- Strong European footing: German publisher, compliant Impressum, EU AWS regions, German governing law
- Sovereignty options run deep: private-cloud deployment, dedicated AWS, PrivateLink on request, bring-your-own or self-hosted LLM
- Results arrive in Slack, so there is no extra dashboard to learn and setup is announced at 10 to 15 minutes per cluster
Cons
- No public pricing at all: not a page, not a figure, not a tier, so every evaluation starts with a sales call
- The homepage shows a SOC2 Compliant badge while the documentation states there is no compliance certification today
- The terms in force, dated 2 June 2025, still describe a private beta that is not generally available and is provided as-is
- Scope is tightly bound to Kubernetes, and alert sources are limited to Prometheus, Grafana, Datadog and CloudWatch
- No public API documentation and no mobile application
- Daily action quotas are hard limits: once reached, work is blocked until the midnight UTC reset
- Multi-tenant isolation is logical, on shared DynamoDB tables, rather than physical
Pricing & Plans
OpsWorker publishes no price list. Neither the marketing site nor the 208 URLs indexed across its two sitemaps contain a pricing page or a single figure. Usage is metered as daily action quotas, one per user and one per organisation, covering investigations and AI Chat interactions and resetting at midnight UTC. Those quotas are hard limits, so exceeding one blocks the action rather than generating an overage charge. The vendor states that it uses no fixed named tiers and no per-seat plans, and that higher quotas are arranged directly with its team. A free trial does exist: the homepage advertises a 14-day trial with self-service sign-up, while the billing documentation asks prospects to contact the team for trial access. No permanent free plan is mentioned anywhere.
- the vendor states it uses neither fixed tiers nor per-seat plans
- Usage governed by daily action quotas
- one per user and one per organisation
- reset at midnight UTC
- Higher quotas arranged directly with the vendor through a sales conversation
- Free trial
- advertised as 14 days on the homepage and granted on request according to the documentation
Data, GDPR & hosting
A consolidated view of how OpsWorker handles your data.
GDPR overview
OpsWorker publishes a full German-law privacy policy naming envimate GmbH, Prenzlauer Allee 186, Berlin, as data controller, giving an Art. 6 legal basis for each processing purpose and detailing the Art. 15 to 21 rights alongside the competent German supervisory authority. Requests go to legal@opsworker.ai. The security page claims GDPR-compliant deletion and auditability, and a Data Processing Agreement is available on request. Sub-processors are named: AWS, Cloudflare Germany GmbH, HubSpot (United States, under standard contractual clauses), Calendly and Google Analytics. No Article 27 representative is designated, which is consistent with an EU-established publisher. One nuance matters: the documentation states plainly that OpsWorker holds no certified compliance attestation today, so this is declared practice rather than audited compliance.
Who owns the data?
The published terms and privacy policy leave cluster and telemetry data in the customer's hands. envimate GmbH, the Berlin company named as data controller, states that it does not require or store your codebase and holds no cloud credentials for your environment, the in-cluster agent authenticating with a cluster token alone. Investigation records are scoped to each organisation inside shared DynamoDB tables, so no cross-organisation access is possible, and internal access is limited to essential operations personnel and audit-logged. Customers stay responsible for their own data-governance rules, and the terms explicitly ask them not to submit personal information, credentials or regulated content to the platform.
Reuse rights
Nothing in the terms restricts what a customer may do with the analyses, root-cause reports or kubectl commands OpsWorker produces. They are delivered for the engineering team to review, adapt and run at its own discretion, and the vendor explicitly declines liability for decisions taken from them. On its own side the vendor states that customer data is never used to train, fine-tune or improve shared AI models, that interactions with the LLM providers are stateless by default, and that context is isolated per customer with input filtering and output validation. Inside the cluster the agent reads resource metadata, pod logs, events and endpoint status; Secret values are not read unless the customer opts in.
Data retention & training
Hosting summary
Product data sits on AWS, in the deployment region the customer selects; the documentation asks buyers to contact the team for the exact region and for a Data Processing Agreement. The homepage states the platform runs fully within EU AWS regions so investigation data never crosses regional boundaries, and the documentation also mentions hardened environments across AWS and Azure. Storage is encrypted at rest with AES-256 under AWS-managed encryption on DynamoDB and S3, and in transit with TLS; secrets are held in AWS Secrets Manager and Azure Key Vault. Isolation between customers is logical, each record scoped to its organisation inside shared tables. For stricter needs the vendor offers a dedicated AWS deployment, a private-cloud model running the whole platform inside the customer's own AWS, Azure, GCP or on-premise Kubernetes environment, and AWS PrivateLink on request. The marketing website itself runs on AWS EC2 located in the EU or EEA, behind Cloudflare as a content delivery network.
Things to keep in mind
Risks and trade-offs to weigh before adopting OpsWorker.
- The homepage displays a SOC2 Compliant badge while the documentation states that no compliance certification is held today and that SOC 2 is only on the roadmap: verify the claim in writing before relying on it
- The terms of service in force, dated 2 June 2025, still describe a private beta that is not generally available, provided as-is with no uptime or accuracy guarantee and possibly discontinued without notice
- Three legal identities coexist: the Impressum names envimate GmbH and cloudventure GmbH, the terms credit CloudVenture GmbH, and the homepage structured data declares an OpsWorker Inc. that appears on no legal page
- The terms explicitly ask you not to submit personal information, credentials or regulated content and state that no automatic detection or sanitisation of such data is provided, yet the agent reads pod logs where such data often ends up
- Granting any tool visibility over production carries residual risk: check the RBAC scope, keep the agent namespace-limited and remember that isolation between customers is logical rather than physical
- The performance figures on the site, from 80 percent MTTR reduction to 90 percent fewer alerts at a named customer, are vendor claims and cannot be verified independently
- Relying on automated root-cause analysis can erode a team's own diagnostic habits over time: keep engineers reading the evidence trail rather than only the conclusion
Setup & Integrations
Technical difficulty
Moderate, and squarely aimed at an infrastructure audience. The vendor announces ten to fifteen minutes per cluster through a portal wizard, with no code changes, no per-node installation and no modification of existing monitoring. In practice you need a Kubernetes cluster, Helm, the right to install a ClusterRole or namespace-scoped Role, and access to your alert source webhook configuration. Slack and GitHub or GitLab are connected separately. A built-in simulated alert validates the whole pipeline before going live, which lowers the risk considerably.
Deployment
Integrations
Supported languages
Behind OpsWorker
Social
Resources
All the official URLs gathered for verification and reference.
Frequently asked questions
How much does OpsWorker cost?
Can OpsWorker change anything in my cluster?
Which alert sources does it support?
Is my data used to train AI models?
Is OpsWorker SOC 2 certified?
Where is my data hosted?
How long does setup take?
Can I run OpsWorker inside my own infrastructure?
Is there a public API or a mobile app?
Who is behind OpsWorker?
Should you pick OpsWorker?
OpsWorker is a real, densely documented product rather than a promise. Behind it stand two registered German companies, a compliant Impressum, a full GDPR privacy policy, more than a hundred and forty pages of technical documentation that go down to Helm charts and RBAC scopes, two named customer case studies and a live application portal. Its positioning is refreshingly narrow: it investigates Kubernetes alerts, and it says clearly that it is neither a monitoring replacement, nor an auto-remediation engine, nor a general-purpose chatbot. The security model matches that restraint, with a read-only agent, outbound-only traffic, no Secret values by default and no model training on customer data. Three reservations deserve attention before committing. First, no price is published anywhere, so budgeting requires a sales conversation. Second, the homepage carries a SOC2 Compliant badge that the documentation directly contradicts by stating that no compliance certification is held today. Third, the terms of service in force, dated June 2025, still describe a private beta that is not generally available, provided as-is with no uptime or accuracy guarantee, and warn that the service may be discontinued without notice, while everything else on the site presents a commercially available product. The tool is worth a serious look for engineering teams of roughly ten to fifty people who already run Kubernetes, already have a monitoring stack and already feel the weight of alert triage, particularly in Europe where the EU hosting and private-cloud options are a genuine differentiator. Teams outside Kubernetes, or buyers who need certified compliance and contractual guarantees today, should wait or ask the vendor pointed questions about the badge, the beta clause and the certification roadmap.
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