Showing 47 FAQs
As a self-service engineering platform, Meshery enables collaborative design and operation of cloud and cloud native infrastructure.
Meshery is an open source, highly extensible, vendor neutral project, created for the world of AI and remote knowledge workers.
Yes, as a management plane, Meshery provides value in a number of ways post-adoption Kubernetes. For example, Meshery analyzes your deployments in evaluation of cloud native best practices and patterns, highlighting where you might be deviating.
Meshery performs deep discovery of your environment and currently running applications and infrastructure.
Yes, Meshery is a Cloud Native Computing Foundation (CNCF) project and is licensed under Apache v2.
As the cloud native management plane, Meshery is an extensible platform, offering multiple extension points within which users and partners can customize and extend Meshery's functionality.
Yes, Meshery can be deployed on-premises in minutes using the installation method of your choice.
The Cloud Native Playground (aka Meshery Playground) is a managed instance of Meshery that offers a sandbox environment in which half of Kanvas functionality is enabled (Designer mode) and the other half of Kanvas functionality is disabled (Visualizer mode).
The sandbox environment is not connected to an active Kuberentes cluster, and as such, specific actions within Kanvas Designer are also disabled. Meshery and Kanvas are feature-rich, sophisticated management applications for cloud native infrastructure. To access their full set of capabilities, simply deploy your own copy of Meshery into the environment of your choosing.
All of the designs that you have created in the Meshery Playground are saved to your user account and will be available to you each time that you return to the Playground. The designs will also be available in your other Meshery deployments.
Yes, Meshery can be deployed on-premises with a single command to download, install, and run your own instance of Meshery in your environment.
Yes, Meshery is not just an application. Meshery is an extensible platform. Customize Meshery using any of its purpose-built extension points.
It is a set of microservices where the central component is itself called Meshery. Integrators may extend Meshery by taking advantage of designated Extension Points. Extension points come in various forms and are available through Meshery’s architecture.
Become a Layer5 partner or simply submit an integration proposal.
Multiple Meshery GitHub Actions help you integrate your Kubernetes operations and configuration management into a versioned, pipelined, declarative workflow. These GitHub Actions apply conformance to cloud native standards and performance management gates into your pipelines.
Meshery connects your GitHub repositories and imports your Kubernetes manifests, your Helm Charts, and your Docker Compose applications for visualization and configuration management using Meshery's advanced feature set.
Layer5 Cloud is hosted on AWS and Equinix data centers in US-based regions. If you need to know more about the data storage and compliance, please reach out to us at [email protected]
Layer5 Cloud is hosted on AWS and Equinix data centers in US-based regions. If you need to know more about the data storage and compliance, please reach out to us at [email protected]
Yes, Layer5 Cloud and Kanvas can be deployed on-premises in minutes using Helm charts.
A one-time export of your data can be requested as you transition from managed Layer5 Cloud to self-hosted Layer5 Cloud.
With a small number of manual steps, air-gapped deployments to run Meshery without internet access is also supported.
Yes, all of Layer5's projects are licensed under Apache v2.
Layer5 also offers extensions to the Meshery project in which Enterprise-grade functionality is commercially offered and supported.
As a member of one of Layer5's GitHub organizations, your user account is entitled with triage level permissions across all repositories in the org. You are expected to engage where the topic strikes your interest, triaging (assigning, clarifying, labeling, qualifying) any issue you feel comfortable doing so. You are encouraged to review any open pull request and offer feedback to or ask questions to the author.
Layer5 has a number of GitHub organziations in which it's projects are advanced. See the repository overview below.
The Layer5 community expects you to get as much or more out of your time than you give to the projects. We expect earnest effort from its contributors. What “earnest effort” means is different for each community member as all have different circumstances. Suffice to say, the more you put into your efforts, the greater your reward will be. Most community contributors stay with the project for many months, if not indefinitely. Length of involvement is entirely up to the individual community member. You can expect to be challenged, to be assisted, to learn, to be recognized for your effort and to have your contributions appreciated.
As a member of the Layer5 community, you are expected to be a good representative of Layer5's cultures and values of helping fellow members and paying it forward as we all learn together. You are expected to offer your ideas and skills to help advance our community and its projects. You are expected to share your experiences with others, to be curious, to be helpful, to ask questions, to challenge others and to be challenged yourself, to spread the word about what we collectively do here, to invite new members, to learn, to share, to make friends, to build a network, to write blog posts, to tweet, to become maintainers, to become MeshMates, to earn an internship, to get hired by Layer5 - - any and all of these things.
We might not get to everyone, but we try to elevate the works of all of our contributors. All of our community members are proud of their work and so are we! We want their work and names to be recognized across our collective technology industry. Make sure that you follow and engage with the Twitter, YouTube, and LinkedIn accounts.
Yes! Some community members join to code open source projects, others jump in to put those projects to use, some are here to help cultivate and steward our community, while others are here just to hangout and absorb. All members are most welcome. Make sure that you introduce yourself in the Layer5 Slack and let other community members get acquainted with you and vice-versa.
Yes, Kanvas is available both as a hosted solution and is also deployable on-premises as a self-hosted solution.
Kanvas can be self-hosted to keep your designs and applications internal to your premises. You can also choose to have Kanvas hosted as SaaS solution offered by Layer5.
Whether self-hosted or hosted by Layer5, we are here to support you.
Kanvas is available in beta today. Visit https://kanvas.new to use it.
Kanvas is cloud native collaboration tool for managing your infrastructure and applications. Kanvas has two modes: Visualizer for operating your actively running Kubernetes clusters and Designer for configuring your Kubernetes clusters and creating your creating your application deployments.
Yes, upgrade at anytime.
Add new packages at any time.
You might choose to add another package when your monthly active learner count is consistently over your existing package size.
No. The Free plan does not require a credit card. It is free and will forever be free.
A credit card is required only if you want to upgrade to a more fully-featured plan.
We totally get that plans can change, and we're here to make things as straight-forward as possible. At Layer5, we have a no-refund policy for all our subscription plans. That means once your payment goes through, it's non-refundable, even if you haven't used much of the time left in your billing cycle. This helps us keep delivering awesome access to our cloud native tools, collaborative features, performance testing, multi-cloud setups, and all the learning goodies in Layer5 Academy and Kanvas.
If you're ready to cancel, no worries — just head to your account settings to cancel anytime. That'll stop any future renewals and charges, but you'll still enjoy full access until your current period ends. We're all about helping you explore first, so feel free to try our Free Forever plan to dip your toes in with things like built-in models, community support, and basic testing before going paid.
Yes! You are more than welcome to try the Free version.
If you and your team want to collaborate or need more advanced capabilities, then try the Enterprise Edition. To upgrade to Enterprise, please get in touch with us.
Your account will automatically transition to the Free plan. Layer5 Cloud and Kanvas will continue to operate under the Free tier features and usage limits.
While your account will no longer be entitled to the features offered a paid plan, rest assured that your historical data will continue to be available to you.
Renew your subscription to have higher-level plan features reenabled at any time.
Both annual and monthly plans are available. Some plans have add-ons available.
If your level of use warrants custom pricing, let's talk adjust as needed.
Yes, we offer significant discounts for open source projects. Visit open source pricing page and sign up with details of your open source project to apply for discount.
Layer5 Academy is available as an add-on to your Enterprise subscription, priced based on number of active learners.
Academy functionality is conveniently divided into two offerings: theoretical learning (learning paths, certifications, challenges) and practical learning (hands-on labs in Kanvas).
An active learner is any user who has logged into the platform in a given month whether they are currently enrolled in a course or not. Only active learners count towards your package total. Only active learners are billable.
A learner is any user who at any point accepted an invitation to join your Academy. Learners may or may not have registered for (enrolled in) any of your Academy's offerings.
An enrolled learner is a user who is currently registered for an offering in your Academy's catalog of curricula. Enrolled learners not are always active learners as students may enroll in a course but not log in during a given month.
Yes, whether you are currently subscribed under a monthly plan or a yearly plan, you can exceed your pre-selected package size without foreplanning.
At the end of the month, any additional learners beyond your package size are charged at the same per-learner rate.
For example, if you are on the 500-learner package and end the month with 510 active learners, you will be charged for your base 500 learners plus the cost of 10 additional learners.