Reliably

Overview

Reliably is a chaos-engineering platform for teams that want to investigate operational risks through planned experiments. It suits engineering teams that need experiment design, execution choices and safety controls in one workflow, especially when they already use Chaos Toolkit.

Its strongest case is flexibility: teams can build experiments without learning a new language, run them in several environments and set pre-checks and safeguards. The trade-off is that the free plan is sharply constrained in team size, cloud runtime and data retention.

Key features

Design and manage experiments

The builder offers more than 300 actions, including attacks and probes, so teams can assemble experiments without writing a new experiment language. Existing JSON Chaos Toolkit experiments can be imported, and custom templates reused. That combination is useful for teams adopting a managed workflow gradually; the free plan’s five custom experiments and one template, however, make it a limited place to build a broader library.

Experiments can be scheduled, with scores, freshness indicators, timelines and dashboards for reviewing activity. Supported targets include AWS, Azure, Google Cloud, Kubernetes, Prometheus and Spring. Execution can use GitHub Actions, Reliably-managed cloud runs, the CLI, Docker, Kubernetes jobs or cron jobs, giving teams options to fit existing delivery workflows.

Integrations and safeguards

Documented integrations include Slack, Honeycomb, Dynatrace, Google Cloud, Grafana and OpenAI ChatGPT. Slack posts experiment activity to a channel in near real time; Honeycomb receives traces through OpenTelemetry. Environments can store variables and encrypted secrets for the app, CLI or GitHub workflows.

Pre-checks can prevent an experiment from starting, while safeguards can interrupt one mid-run if configured conditions fail. These controls matter when injecting faults into real systems, but they depend on teams configuring the conditions that should stop execution. Reliably also supports Kubernetes, cloud and network fault injection, and blast-radius controls.

Pricing

Reliably has a free plan and monthly paid plans. The free tier is suitable for an individual evaluating the workflow or running small experiments: it allows one team member, unlimited custom and GitHub executions, 180 cloud execution minutes per month, a 10-minute cloud run cap, one concurrent execution and two weeks of retention. Its five custom experiments and single template also limit sustained team use.

Start costs £40.00 per month, billed monthly, and supports three team members. It raises cloud usage to 300 minutes per month and the run cap to 30 minutes, removes the custom experiment limit, allows three templates and five concurrent executions, and keeps data for three months. This is the practical step up for a small team that has outgrown the free runtime and collaboration caps.

Scale costs £330.00 per month, billed monthly, for five or more team members; additional members cost $20 per month. It includes unlimited custom, GitHub and cloud executions, a 60-minute cloud run cap, unlimited concurrent executions, ten templates and 12 months of retention. It fits teams running experiments more regularly or needing longer history, but the jump in price makes it difficult to justify for occasional use.

Enterprise has custom pricing, unlimited team members, experiments, templates and concurrent executions, a 60-minute cloud run cap, and 24 months of retention, unlimited with optional on-premises installation. It is aimed at larger organizations that need greater scale or on-premises retention. Start, Scale and Enterprise include weekday 9/5 CET email support; Enterprise can add a support SLA. The free tier also includes email support and third-party integrations.

Platforms

Reliably supports Linux, macOS, Windows, web and self-hosted deployments. Its hybrid deployment model and execution choices accommodate teams that want cloud management alongside CLI, Docker or Kubernetes-based runs.

Who it's for

Reliably is best for engineering teams building a repeatable resilience practice across cloud and Kubernetes targets, particularly those with existing Chaos Toolkit experiments or a need for execution safeguards. It is less compelling for a solo user who only needs a narrow, free fault-injection tool: the free plan’s one-seat limit and short retention constrain collaboration, while paid plans add meaningful recurring cost.

Pros and cons

• Pros: More than 300 builder actions and Chaos Toolkit imports give teams both a guided starting point and a route to reuse existing experiments.
• Pros: Multiple execution modes, integrations and scheduling make it adaptable to different workflows.
• Pros: Pre-checks, safeguards and blast-radius controls provide useful boundaries for potentially disruptive experiments.
• Cons: The free plan allows one team member, only 180 cloud minutes monthly and two weeks of retention, restricting team evaluation and review of older runs.
• Cons: Start is limited to three seats and 300 cloud minutes monthly; moving to Scale costs substantially more at £330.00 per month.

Alternatives

For a category-wide comparison, see Chaos Engineering Platforms. Choose Chaos Toolkit instead if a free, open-source CLI is enough and a managed platform is unnecessary. ChaosBlade is another free, open-source option, with 200-plus experiment scenarios.

Chaos Mesh is a free open-source choice when a cloud-native platform that runs on Kubernetes is the priority. Pick PowerfulSeal for self-hosted Kubernetes chaos testing installed with pip or Docker. Toxiproxy is a free alternative.

AWS Fault Injection Service is a paid alternative billed at $0.10 per action-minute, with an additional $0.10 per action-minute for each additional account. Chaos Monkey for Spring Boot and chaosd are also alternatives.

Verdict

Choose Reliably if your team wants flexible chaos-experiment design and execution, with safeguards and review tools around the workflow. Its main advantage is bringing multiple experiment and deployment paths together; its main drawback is the sharp gap between a tightly capped free tier and the £330.00 monthly Scale plan. Teams with light needs or a preference for a focused free tool should look elsewhere.