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What is a canary deployment? Let's start with the origin of the name canary deployment, which comes from an old British mining practice. It's a little bit cruel. According to Kat Eschner at The Smithsonian, this practice consisted of using canaries in coal mines to detect carbon monoxide and other toxic gases before they hurt humans In software engineering, canary deployment is the practice of making staged releases. We roll out a software update to a small part of the users first, so they may test it and provide feedback. Once the change is accepted, the update is rolled out to the rest of the users

Canary deployment is a software deployment technique intended to reduce the risks of deploying an application to production. Instead of sending the new version of your software to 100% of your userbase, you instead roll it out to a small subset of users. You then watch that group closely, quickly rolling back the release if things go wrong Canary deployment strategy involves deploying new versions of an application next to stable production versions to see how the canary version compares against the baseline before promoting or rejecting the deployment Canary deployment is like blue-green, except it's more risk-averse. Instead of switching from blue to green in one step, you use a phased approach. With canary deployment, you deploy a new application code in a small part of the production infrastructure. Once the application is signed off for release, only a few users are routed to it

In a canary deployment, you partially deploy a new software feature and shift some percentage of traffic to a new version of the application. This allows you to verify stability and reduce risk associated with the new release. After gaining confidence in the new version, you continually increment traffic until all traffic flows to the new release. Additionally, a canary deployment can be a. Attention : Chrome Canary peut être instable. Télécharger Google Chrome Canary Pour Windows 10/8.1/8/7 32 bits. Pour Windows 10/8.1/8/7 64 bits. La compatibilité n'est plus assurée avec Windows XP et Vista. Veuillez utiliser un système d'exploitation compatible pour télécharger Chrome Canary. Cliquez ici pour obtenir la version stable de Chrome. Pour Mac OS X 10.10 ou version. Browse other questions tagged lambda deployment aws-code-deploy canary-deployment or ask your own question. The Overflow Blog The Overflow #47: How to lead with clarity and empathy in the remote world. Podcast 287: How do you make software reliable enough for space travel? Featured on Meta Feature Preview: New Review Suspensions Mod UX. A big thank you, Tim Post. Related. 17. Spring Cloud. Canary release is an application of ParallelChange, where the migrate phase lasts until all the users have been routed to the new version. At that point, you can decomission the old infrastructure. If you find any problems with the new version, the rollback strategy is simply to reroute users back to the old version until you have fixed the problem. A benefit of using canary releases is the.

A Detailed Guide to Canary Deployments - Stackif

  1. Canary deployment is a pattern for reducing risk involved with releasing new software versions. The history behind the name ain't really pretty. But in software, releasing canaries can be a.
  2. e application health. As the tests pass, more and more traffic i
  3. Canary deployments are a pattern for rolling out releases to a subset of users or servers. The idea is to first deploy the change to a small subset of servers, test it, and then roll the change out to the rest of the servers
  4. In Deployment strategy, select Canary. Add a canary tag to VMs that are to be part of canary deployments. Add a prod tag to VMs that are part of deployments made after canary deployment succeeds. Tags help you target only VMs that have a specific role

Le principe du Canary Release est assez similaire au Blue-Green deployment, mais offre aux équipes projet une étape durant laquelle l'application est testée en production par un nombre restreint d'utilisateurs, sans impacter l'expérience utilisateur de la majeure partie des utilisateurs Canary deployments can be part of many other deployment scenarios. For example, the scenario in Setting Up Blue-Green Deployments in IBM UrbanCode Deploy 6.2.4 includes deployment to a canary node first. All you need to do to use a canary node in your deployment is to pick one or a few nodes and make sure that you deploy to those nodes first

Canary Deployment. If you want to roll out releases to a subset of users or servers using the Deployment, you can create multiple Deployments, one for each release, following the canary pattern described in managing resources. Writing a Deployment Spec. As with all other Kubernetes configs, a Deployment needs .apiVersion, .kind, and .metadata. What is Canary Deployment? Canary deployments are a pattern of rolling out releases to a subset of users or servers. The idea is to first deploy the change to a small subset of servers, test it,.. Canary is a method of slowly releasing in small stages or batches to only a select number of users, data centers, or random nodes within your deployment before a full roll-out. Canary is perhaps the most popular for the release methods as it is both effective and cost-efficient Canary deployment. The slow rollout of a new version of an existing application. Canary deployment. The purpose of a canary deployment is to reduce the risk of deploying a new version that impacts the workload.The method will incrementally deploy the new version, making it visible to new users in a slow fashion Canary deployment is a strategy similar to blue/green deployment, but with one significant change: instead of rolling the new version out to your whole user base all at once, you rollout to only a subset of users as an initial test

Deploy the canary Deployment resource, which is currently configured with version 2.4.20, with the new version of 2.4.23. The annotations configure this deployment to receive 25% of the traffic. The Service and Voyager Ingress resources remain unchanged at this point. The nice thing about this second deployment is that there isn't much downtime. While the deployment from step 1 is taking place. Blue/Green Deployment C'est le pattern classique de ZDD. Il suppose que l'application soit hébergé sur au moins deux chaînes applicatives, puisque l'objectif est de déployer la version N+1 d'une application sur une des chaînes, tandis que le service est maintenu sur les chaînes encore en version N. Pattern associé : Canary Releas Le canary release est un pattern qui permet de faire tester les dernières modifications réalisées (appelée version N+1) à une tranche de population restreinte avant de réaliser un déploiement général de cette version. Si des concepts similaires existaient il y a une vingtaine d'année, le prix pour sa mise en place était extrêmement cher. Avec les environnements cloud proposés. Like the canaries used by miners in coal mines, canary deployments are used to deploy an application first to a small set of servers - for validation by a subset of users. After user validation, the application is rolled out to the larger set of users. This is an effective way to test new versions with live traffic and reduce the risk by containing the exposure. Canary deployments typically. One of the benefits of the Istio project is that it provides the control needed to deploy canary services. The idea behind canary deployment (or rollout) is to introduce a new version of a service by first testing it using a small percentage of user traffic, and then if all goes well, increase, possibly gradually in increments, the percentage while simultaneously phasing out the old version

Deploy Canary; Deploy Baseline; Fill in the Canary Analysis Configuration section with the following values: Parameter name Value Definition; Analysis Type: Real Time (Manual) The automatic mode, where canary and baseline are created for you, is not yet available for Kubernetes. Config Name : kayenta-test: The name of the canary configuration you created earlier. Lifetime: 0 hours 5 minutes. Deploy Canary branch; Deploy master; 1. Prerequisites. Here's what you'll need to get started with this tutorial: Install Istio on your Kubernetes cluster; Install Jenkins on the Kubernetes and Istio cluster; A git repository; Configure Jenkins and containers. First, we need to disable automatic sidecar injection for the Jenkins worker pods. Navigate to Manage Jenkins > Configure System. Canary deployments basically reduce the scope, impact, and risk of deploying new software artifacts to production. Instead of deploying a new artifact across all production nodes at the same time, you deploy to a subset of those nodes in phases, with each phase verified to ensure artifacts and your application are behaving appropriately. For example, you might have a 3-phase canary deployment. Deploy Version Two to Kubernetes Using a Canary Version 2.0 is ready, but we want to deploy it safely. Let's create the canary deployment file definition k8s-deployment-canary.yaml Canary deployment is a pattern that rolls out releases to a subset of users or servers. It deploys the changes to a small set of servers, which allows you to test and monitor how the new release works before rolling the changes to the rest of the servers. Virtual machine scale sets (VMSS) are an Azure compute resource that you can use to deploy and manage a set of identical VMs. With all VMs.

What Is Canary Deployment? - Semaphor

Canary acts as an early indicator for failures for avoiding problematic deployments and having a full impact on all customers at once. If one canary deployment fails, the rest of your servers aren't affected, and you can terminate the canary and triage the problems Spain Deploys Police to West Africa as Canary Islands Migrant Influx Increases by 1,000 Per Cent. Jack Montgomery, Breitbart, November 23, 2020 . Spain will send law enforcement personnel into Senegal, Africa, to tackle people-smugglers after illegal migration from West Africa to the Canary Islands increased by 1,000 per cent on 2019. Around 17,000 migrants have made landfall on the Spanish. Et ici on va s'intéresser au Canary Deployment. Il n'y a pas vraiment de définition précise pour un Canary Deployment, le concept de base c'est qu'on va rediriger une proportion du trafic de la version stable (baseline) de l'application vers la nouvelle version (canary). Ensuite c'est chacun sa sauce, on peut augmenter de 10% en.

This technique is called a canary deployment. Kubernetes cluster operators can orchestrate canary deployments natively using labels and Deployments. This technique has certain limitations, however: traffic distribution and replica counts are coupled, which in practice means replica ratios must be controlled manually in order to limit traffic to the canary release. In other words, to direct 10%. First of all, deploy the namespace demo-prod as it is required for the rest of the resources. Continue with creating the deployment, service, and ingress for the production environment. At. Canary deployments, also known as canary releasing, are usually release-focused. But, sometimes, they can also be deployment-focused. They are deployment-focused when you use your deployment scripts to only update the code on specific containers or servers. They're release-focused when you can change which canary features are visible to some users without redeploying Canary releases let you test the waters before pulling the trigger on a full release. The faster feedback you get, the faster you can fail the deployment, or proceed cautiously. For some of the same reasons as the blue-green deployments, be careful of things above to watch out for; ie, database changes can still trip you up

Canary Deployments: What They Are and How to Use Them

Canary deployment strategy for Kubernetes deployments

This post courtesy of Ryan Green, Software Development Engineer, AWS Serverless The concepts of blue/green and canary deployments have been around for a while now and have been well-established as best-practices for reducing the risk of software deployments. In a traditional, horizontally scaled application, copies of the application code are deployed to multiple nodes (instances, [ Follow the steps below to create your Virtual Canary in VMware vSphere: Step 1: Log in to your Console. Step 2: Click the + icon and click Add Canary. Step 3: Click Add VMware Canary. Step 4: Click Download and then Click OVA to begin the download. Step 5: The OVA file has now successfully downloaded. Step 6: On vSphere, click Actions and then Deploy OVF Template from the drop down list. Step.

Canary deployments. Another scenario where multiple labels are needed is to distinguish deployments of different releases or configurations of the same component. It is common practice to deploy a canary of a new application release (specified via image tag in the pod template) side by side with the previous release so that the new release can receive live production traffic before fully. Roll-Out Strategies for ML Deployments - How do you deploy your models in shadow mode? How do you decide between canary and blue/green deployments? CI/CD for Machine Learning - How do we tie together lessons from every post in the series to enable continuous integration and continuous development for ML? If you want to be notified when these posts are published, subscribe below. You'll. When you deploy to an EC2/On-Premises compute platform, the deployment configuration specifies, through the use of a minimum healthy hosts value, the number or percentage of instances that must remain available at any time during a deployment. You can use one of the three predefined deployment configurations provided by AWS or create a custom deployment configuration. For more information. If team1 needs to deploy a controller that depends on a CRD or a cluster role, Flagger is a progressive delivery Kubernetes operator that can be used to automate Canary, A/B testing and Blue/Green deployments. You can deploy Flagger by including its manifests in the cluster/kustomization.yaml file: bases: - ./flagger/ - ./common/ - ./team1/ Commit the changes to git and wait for system.

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Canary Deployment: Intro to deployment strategies: blue

Using Terraform meta-arguments and its planning capability, we can feature toggle resources, deploy infrastructure in a blue-green approach, and test canary infrastructure in production. We demonstrated the use of the count meta-argument as a feature toggle and how to manage the toggle's lifecycle. We applied the feature toggle to a blue. Write production Canary Tests and deploy them to the API Canary platform via our web builder or via GIT. Each test is executed on a repeating schedule. Use them to test the specific components of your production infrastructure that drive your business. Define Alert Rules. When one of your Canary Tests detects an error, an alert can be sent via any of our notification channels to your support. Click the + icon and click Add Canary. Step 3: Click Add VMware Canary. Step 4: Click Download and then Click OVA to begin the download. Step 5: The OVA file has now successfully downloaded. Step 6: On ESXi, click Create / Register VM. Step 7: Select Deploy a virtual machine from an OVF or OVA file and click Next. Step 8: Name your virtual machine auto-deploy-canary-chart Project ID: 17180581 Star 1 13 Commits; 1 Branch; 0 Tags; 236 KB Files; 574 KB Storage; An example chart for doing canary deployment using Gitlab AutoDevops . Read more master. Switch branch/tag. Find file Select Archive Format. Download source code. zip tar.gz tar.bz2 tar. Clone Clone with SSH Clone with HTTPS Copy HTTPS clone URL. Copy SSH clone URL [email protected.

Microsoft Edge Beta, Dev, and Canary Channels - Microsoft Edge browser deployment Deploy New Microsoft Edge Chromium Browser Using Intune. The new edge browser is independent application which you can install on Windows 7 and Windows 10 devices similar to Google Chrome or Safari browser Deploy canary and baseline versions of the application. Note. If you are fully automating the canary deployment, deploy canary and baseline versions using the Deploy (Manifest) stage in Spinnaker pipeline and there is no need to perform this step. For manually deploying canary and baseline versions, use canary.yaml and baseline.yaml files. kubectl apply -f canary.yaml kubectl apply -f baseline. When the number of failed checks reaches the canary analysis threshold, the traffic is routed back to the primary, the canary is scaled to zero and the rollout is marked as failed. kubectl -n projectcontour logs deploy/flagger -f | jq .ms Deploy Traefik using a Deployment or DaemonSet One canonical use case is canary releases where a deployment representing a newer release is to receive an initially small but ever-increasing fraction of the requests over time. The way this can be done in Traefik is to specify a percentage of requests that should go into each deployment. For instance, say that an application my-app runs in.

With this approach you can either deploy your canary service into production or within a staging environment, but you shadow or mirror a percentage of production traffic to the canary. Although you observe the canary, you do not return any of the results to the end user, and all of the related side effects are enacted on non-production systems or are mocked or implemented as no-ops. With. Using Conditional Rules with Istio for Canary Releases. Learn Step 1 - Deploy BookInfo, Step 2 - Deploy V1, Step 3 - Access V2 Internally, Step 4 - 10% Public Traffic to V2, Step 5 - 20% , Step 6 - Auto Scale, Step 7 - All Traffic to V2, via free hands on training Leveraging Kubernetes' Canary deployments, visualize your canary deployments right inside the Deploy Board, without the need to leave GitLab. Use cases Canary deployments can be used when you want to ship features to only a portion of your pods fleet and watch their behavior as a percentage of your user base visits the temporarily deployed feature. If all works well, you can deploy the feature. Istio 1.6 will support a new upgrade model to safely canary-deploy new versions of Istio. In this new model, proxies will associate with a specific control plane that they use. This allows a new version to deploy to the cluster with less risk - no proxies connect to the new version until the user explicitly chooses to. This allows gradually migrating workloads to the new control plane, while. Deploy in the k8s the app version 1.0.0 with ten replicas; Deploy a canary deployment of app version 2.0.0 with 01 replicas (represent 10% of my service) Deploy the new version and remove the old one; Using canary deployment, you can deploy a new version of your app without downtime. For example, you can implement a new version of your app and.

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Performing canary deployments for service integrations

As the second part in our series of Istio service mesh tutorials, this article provides step-by-step instructions for canary deployments of service mesh using Kublr-in-a-Box.With Kublr-in-a-Box you can create a new Kubernetes cluster on AWS, Azure, GCP, or on prem and experiment with Istio Deploy Canary Config - 앞에서 선택한 새로운 Parameter(successRate)를 신규 배포할 Canary Pod ConfigMap으로 설정하는 단계이다. 3rd Stage Deploy Canary - yaml manifest로 Canary 버전을 배포한다. Replicas는 1로 설정하였고 배포될 Account(K8s Cluster)를 지정한다. Deploy Baseline - yaml manifest로 Baseline 버전을 배포한다. 위와 동일하게. Canary release의 단점 중 하나는, 동시에 여러 개의 소프트웨어 버전을 관리해야 한다는 것이다. 때로는 동시에 2개 이상의 버전이 운영 환경에 배포되도록 할 수도 있겠지만 그리 좋은 방법은 아니다. 배포 버전의 개수를 최대한으로 작게 가져가는 것이 유리하다 Both canary and rolling strategies support following lifecycle hooks: preDeploy (executed once), iterations with deploy, routeTraffic and postRouteTraffic lifecycle hooks, and exit with either success and failure hooks. To learn more, check out the YAML schema for deployment jobs and the deployment strategies design document

Return to the Spinnaker UI and click Pipelines to watch the pipeline start to deploy the image to production. Once the pipeline completes, the color of the sample application has changed from orange to blue in the canary deployment, click Check my progress to verify Task 3. Congratulations! You completed this challenge lab. Summary . This lab is challenging. You might not know what need to do. Deploy Model; Start Load Test; Create Canary; Documentation; Demos; Seldon Core; Canary Promotion; Canary Promotion. Launch a SKLearn model and update model by canarying. Iris Model. We will: Deploy a pretrained sklearn iris model; Load test the model; View request payloads; Canary a new XGBoost model; Load test canary model; Promote the canary model; Deploy Model. Use the model url: gs. Feb 2020 - Red Canary or uDeploy - which Security software is better? Red Canary cost more but does it fit your needs? Access inside key differences (chart included) and find the right Securit How to do canary deploy using CD and Istio? Close. 17. Posted by 1 year ago. Archived. How to do canary deploy using CD and Istio? Hi! We are using Istio and got a fully functioning CI/CD for our services, but want to start to do a canary deployment. I know how to do it manually with labels and been reading up and looking on YouTube, but haven't found any examples of how to do it.

Chrome Canary - Googl

lambda - how canary deployment affect to the existing

CanaryRelease - Martin Fowle

Canary is designed to end in bytes \x00, which is meant to ensure that Canary can truncate strings. The idea of leaking Canary in the stack is to overwrite the low byte of Canary to print out the remaining Canary part. This type of utilization requires the existence of a suitable output function, and may require the first overflow to leak Canary, and then overflow the control execution flow. Companies use Canary Deployments to test software in production by routing a subset of users to new functionality as part of continuous delivery according to Nolio in their 1st video in a series ab More advanced implementation will go beyond the enhanced Blue/Green technique, and deploy at a more granular level. Canary is all about control and supervision, the more granular you can control your components, the more advanced your canary deployment is. More monitoring. We already mentioned this before, but I'll restate it again with even greater significance this time. None of these. My understanding of a canary release is that it's a partial release to a subset of production nodes with sticky sessions turned on. That way you can control and minimize the number of users/customers that get impacted if you end up releasing a bad bug. My understanding of a blue/green release is that you have 2 mirrored production environments (blue and green), and you push changes out to. You may want to deploy the changes a test or staging environment before deploying to any of the production environments (as a final quality validation) and a canary environment that interacts with production environments for the dependent services serving some synthetic load. Also, it is recommended to not deploy to all production environments in one go, exposing all the customers to the.

Kubernetes Canary deployments for mere mortals by

We'll tell the plugin to split the traffic between the last two versions of our function during the next deploy, and gradually shift more traffic to the new one until it receives all the load. There are three different fashions of gradual deployments: Canary: a specific amount of traffic is shifted to the new version during a certain period of time. When that time elapses, all the traffic goes. Then, in the application process, you can use a For Each Tag loop to deploy first to the canary tags, run some automated tests, and then run over the other resources. I've listed a few ways of doing this in Deploying applications with canary nodes , but one way is to include the deployment steps as part of the For Each Tag loop with some automatic tests and rollback steps Inserted into canary webpages that are only found through brute-force. This URL is just an example. Apart from the hostname and the actual token (the random string), you can change all other parts of the URL. Your Slow Redirect token is active! Copy this URL to your clipboard and use as you wish: ↻ The token is similar to the Fast Redirect token, however, when the link is loaded the user's. Canary Deploy Build latest image from Dockerfile. Push the image to ECR with timestamp and git commit hash tags. Make new revision of task definition with the image. Run one task with the task definition. This task is separated from service. Add the private IP of the task to target group. Canary Rollback Stop and destroy the canary deployed task Made with cnvrg.io Browse through real world examples of machine learning workflows, pipelines, dashboards and other intelligent applications built with cnvrg.io. Start for free S3 GitHub NVIDIA GPUs Python Train and deploy using NVIDIA deep-learning containers Load data from S3 object storage, train with both TensorFlow and PyTorch deep-learning containers on NVIDIA GPUs, pick champion [

Canary deployment - D2iQ Doc

Nesse vídeo você entenderá o que é e para que serve um tipo muito peculiar de deploy: O Deploy Canário ou Canary Deploy. → Participe da próxima Maratona Full.. Get on the bleeding edge of the web with Chrome Canary designed for experienced developers and updated nightly Canary deployment. Let's try implementing the canary deployment using OpenShift. First we need to create our application. Again we will use the hello-openshift image for that purpose: oc run prod --image = openshift/hello-openshift --replicas = 9 oc set env dc/prod RESPONSE = Hello from Prod oc expose dc/prod --port = 8080. We need to expose our application to be accessible externally: oc.

Scaling the Pods of the Canary Deployment up and down we can change the percentage of Canary traffic sent to these Pods. Once we have verified the new changes work as planned, we pretty much always deploy the new version to the 10 stable replicas and scale down the replicas of the Canary StatefulSet to 0. Generating the Canary StatefulSe They follow our Thinkst Canary philosophy: trivial to deploy, with a ridiculously high quality of signal. The concept and use of canary tokens has made me very hesitant to use credentials gained during an engagement, versus finding alternative means to an end goal. If the aim is to increase the time taken for attackers, canary tokens work well. shubs. @infosec_au. Pricing @ThinkstCanary Great.

Canary deployments - Octopus Deploy

If you have enabled canary for your application and have one or more canary configs prepared, you can now add a canary stage to your pipeline and configure it to perform canary analysis for your deployment. This stage type is for the canary analysis only. The canary stage doesn't perform any provisioning or cleanup operations for you. Those. Canary deploy. From the Cloud point of view this is implemented/know as Canary Deploy. We can use to roadmap form one version to other using the rules in the LoadBalance (Route 53 in AWS) in front.

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Tutorial - Configure canary deployments for Azure Linux

The Discard canary deploy job deletes the canary deployment from the Kubernetes cluster once traffic is no longer routed to it. Click CANCEL to return to the pipeline. Start task 5 Task 5: Exercise the canary branch. In this task, edit the code for the Guestbook application and deploy it to your Kubernetes cluster for canary testing. Return to your toolchain by selecting the toolchain in the. How do you deploy applications with Kubernetes? Learn about that and how to implement blue-green, canary deployments with Spinnaker, Istio, Jenkins These demos assume you have a running Seldon Deploy installed with relevant permissions to create/update deployments. Canary Promotion. Launch a serverless SKLearn model and update via canary. Model Explanations with Anchor Tabular. Launch an income prediction model and get explanations on tabular data. Model Explanations with Anchor Text . Launch an movie sentiment prediction model and get. Automatically deploy Master as a canary; Automatically deploy Tags to production; Step 1 Activate Google Cloud Shell. From the GCP Console click the Cloud Shell icon on the top right toolbar: Then click Start Cloud Shell: It should only take a few moments to provision and connect to the environment: This virtual machine is loaded with all the development tools you'll need. It offers a. Set up your canary environment. Before you can configure canary analysis and create canary stages for your pipelines, your Spinnaker administrator needs to enable canary for your installation. How to make Canary work in Spinnaker—the high-level process. In Spinnaker, create one or more canary configurations

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Limited deploy still wants to deploy to canaries. Closed, Resolved Public. Action Deploy policy for canary environments . Introduced in GitLab 11.0. You can use a canary environment before deploying any changes to production. If you define CANARY_ENABLED with a non-empty value, then two manual jobs are created: canary - Deploys the application to the canary environment. production_manual - Manually deploys the application to production. Incremental rollout to production. Eliminate Failed Canary Deployments What is a Canary Deployment? Just in case you are not familiar with the term and the practice, Canary Deployments are one of the two most popular ways (Blue/Green Deployments are the other one) of deploying new functionality in a CI/CD and DevOps process Upgrade Canary application (drain and deploy). Automated testing of application. Restore Canary servers to load balancing (connectivity and sanity checks). Upgrade the rest of the servers if the Canary testing with live usage is successful. (Otherwise rollback) Canary Deployment Resources. Pivotal - Canaries Are Great! Our production deployment runs multiple instances of. Canaries deploy in 4 minutes and are immediately useful. Haroon Meer, Founder, Thinkst. How does a Canary help me? Canaries are easy to deploy, require no maintenance and take less than 5 minutes from unboxing to initial configuration and deployment. Pre-configured profiles allow for rapid deployment. Fine-grained options allow for specific.

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