To be able to run those experiments, a Security Context Constraint (SCC) will be required to be created and assigned to the Service Account which runs the experiments. Some examples of the elevated privileges required are: NET_ADMIN and SYS_ADMIN capabilities, hostPID, hostPath, running privileged container. Some of the LitmusChaos experiments require elevated privileges on the cluster. It is a core component for Litmus ChaosCenter and can be easily generated through the UI. Workflow - set of experiments chained together embedding both ChaosEngines and ChaosExperiments. The chaos scenario will start executing when the spec.engineState is active.ĬhaosResult - stores the results of the experiments and are updated by the ChaosEngines.ĬhaosSchedule - used for scheduling ChaosEngines. Parameters in ChaosExperiment can be overridden at this layer. The application is identified by namespace, label, and type. It serves as a blueprint that later can be bound to specific applications.ĬhaosEngine - user-facing chaos resource to link ChaosExperiment(s) with specific applications. Operators usually rely on CRDs to perform certain actions, and LitmusChaos operator watches for the following CRDs:ĬhaosExperiment - defining the type of the experiment and low-level execution details. OperatorĪs mentioned earlier, LitmusChaos uses the Operator pattern to run its Chaos scenarios. On top of that, LitmusChaos provides a UI, called Litmus ChaosCenter Dashboard (formerly Litmus Portal), where one can orchestrate and visualize the results and metrics of the conducted chaos testing scenarios.Īnother important point about LitmusChaos is that it supports running container experiments using CRI-O runtime, making it compatible with OpenShift 4. It uses the Operator pattern and relies on Custom Resource Definitions (CRDs) to define experiments. LitmusChaos is one of the CNCF projects for emulating different chaos scenarios that integrates very well with OpenShift.
LITMUS38I SNAPGENE CODE
In the cloud native world, this concept is even more important because the systems are very dynamic (infrastructure and applications often scale code changes often occur), and we need to ensure that these systems remain resilient.Įxamples of chaos testing scenarios in a cloud-native environment include: filling up filesystem space on the cluster node where the application runs, simulating high memory or CPU usage on the pod or node, simulating network corruption or latency, restarting pods, ungracefully killing the application process or the container.
LITMUS38I SNAPGENE SOFTWARE
The application does not feature the functionality included in tools of the same feather, but it offers support for the most frequently used operations as far as DNA sequence analysis is concerned.Chaos Engineering is a mechanism for injecting failures into software systems to test their resilience.Ĭhaos testing simulates different failure scenarios to check if the applications or the infrastructure will react accordingly in case real faults occur. Primers for PCR, sequencing, or mutagenesis can be designed and annotated, too. It sports automatic annotation of common features but it also offers the opportunity to do it manually in the case of coding sequences as well as more particular features. Features at a glanceĪmong the list of features available in SnapGene Viewer there is the possibility to create a DNA sequence file from punching in the sequence and export it to a GenBank format. There are multiple views available that allow toggling the display of enzymes on or off as well as showing the sequences, features or primers. However, a single look at the interface shows that the developers did their best to come up with a layout that is intuitive and comprehensive at the same time.Īs soon as a DNA file is loaded, there is a clear view of the map. User friendly interfaceĭue to the domain it has been built for, SnapGene is not accessible to all users. Getting the application on the system is done through an uneventful installation process that includes the option to associate specific file extensions (sequences, sequence traces and archives) with SnapGene Viewer. The application works with files as large as 1GB. SnapGene Viewer has been designed as a helpful tool for biologists to handle and exchange annotated DNA sequences easier and with less effort. Luckily, some developers provide the necessary digital instruments for analyzing this type of data in an easier way. Working with DNA sequences can be a difficult task, even for those who are familiar with the matter.
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