The leaf litter covering the substrate is important, it adds hiding area for gravid mothers and babies, making them comfortable and encouraging growth. The entire substrate should be covered with leaf litter, usually adding up to another ½” (1.25cm) of space. This will allow for burrowing and moisture regulation, but less substrate does increase the risk of desiccation. The depth here is important- in a container like this, substrate should be ½”-1” (1.25-2.5cm) in depth. Some brands are air tight (which is great for isopods with wanderlust) and others even have latches that firmly hold the lids in place. Cheaper containers are made with a thinner plastic and a relatively loose lid, while the more expensive ones are a thick plastic with a snug lid. These containers are very cost effective, typically available at dollar stores for $1. There are a variety of sizes of shoeboxes available, but most commonly available one is a 6qt (5.6L) container that is 14”x8”x5”. If this would have been a quiz, could you name them all before reading this post? The many options make it sometimes a little harder to choose, but having flexibility and choice is always great if you have a particular problem.The go-to container recommended is a plastic shoebox storage tote. It is more of the exotic ways to run a container, but it can run, scale and operate them. Azure Service FabricĪzure Service Fabric is a distributed system platform and the core of Azure. So, with AKS, this is taken care of, you select the version of Kubernetes and a few minutes later you have your cluster – and then you can run your container symphony on it. The fully fledged, fully managed Kubernetes service on Azure – most of the dev teams I talk to appreciate that they can just consume the Kubernetes as a platform, but running and operating them is simply not something they want to do. Like a symphony, you need to coordinate multiple containers on multiple hosts to ‘play’ together - in the following I explain the options. Now to the more complex and sophisticated options to run a container – container orchestrators. You can also leverage low priority VMs, great to reduce the cost. Azure Batchīatch compute and containers are a great combination – if the workload can be scaled across many batch jobs, you can put it in a container and scale it with Azure Batch. Deployment, scaling, and monitoring is already existing and can be utilized right out of the box. Ideal for web-based workloads because App Service is a web hosting platform. Azure App ServiceĪzure Web App for Containers – this is my personal hidden champion - you provide a container App Service will run it. This is ideal if you need to burst and simply do not know when the load is coming – prediction of the cost is sometimes a challenge if you can only work with estimates. You can even combine ACI with Azure Kubernetes Service to mix and match the workloads. The price depends on the number of vCPU and GBs of memory allocated per second – a serverless container runtime. If its one instance or a thousand does not really matter. Azure Container Instance (ACI)Īzure Container Instances are the exact opposite of the VM-based docker runtime: you provide the container Azure will run it. ![]() On both windows and linux VMs you can install the docker runtime and you are ready – but – it’s a VM that you have to maintain and configure, I would only consider this work Dev/Test workloads simply because the operational efforts are too high. ![]() The 284 different (more are being added all the times!) combinations of CPU and RAM gives you the perfect platform to run one or more containers. Virtual Machines provide the greatest flexibility to run docker container. In this section I am going to explain the standalone container runtimes – while some of them could technically run multiple containers, the focus are mostly single instances of them. Firstly, I start with the standalone container options followed by the container orchestration options. ![]() In this post I am providing a quick overview of all the options. If you want to run a container, most of the customers I talk to, immediately think about Kubernetes – this is obviously a correct answer, but there are plenty of other options available on Azure.
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