The best product teams never stop this work of generative and evaluative testing for new features. Even as their initial

Author : ealimkhanki
Publish Date : 2021-01-07 10:09:16


The best product teams never stop this work of generative and evaluative testing for new features. Even as their initial

So, if you’re open to trying out new tools, then let’s compare the advantages, disadvantages and features of Docker and it’s competitors to see whether it actually makes sense to even consider ditching Docker for some new shiny tool.

At every phase of the discovery process you should be using what you learn to drive decisions. For inexperienced product teams, these decisions are often based on one perspective or option with little data to back it up. The members of the team also often evaluate this information separately to draw their own conclusions-and those conclusions don’t align, resulting in a poorly designed product.

When components communicate with each other via message passing, both incoming and outgoing messages must be recorded with API endpoint URLs, request parameters, request origin and intermediary IPs, request headers, auth info, request and response bodies, business context, timestamps, and internal processing steps. Most important, for tracing message cycle/roundtrip across multiple services in the system, a unique message ID must be assigned to each message (usually generated at the API manager/service facade level).

For the sake of your team — the audience of your research — prioritize making your data easily shareable. For your team to ultimately present a case for or against a decision, they need to be able to access the same information as the person who conducted the interview in the first place.

Great product teams develop long-standing relationships of trust with their most active users. You’ll often see the people on these teams setting up recurring feedback sessions to gain insight and listen to users’ concerns and ideas. The point of these interviews is to find out what’s delightful and what’s frustrating, what’s there and working well, and what’s still missing.

Application logs reveal information on both internal and external events that are visible to the application during its runtime. When a bug, security breach, or anomaly is present in software deployment, application logs are the most helpful and reliable evidence to conduct a proper root cause analysis of the incident.

If you are scared of switching to different set of tools, because you would have to learn to work with different CLI, different API or in general different concepts, then that won’t be a problem. Choosing any of the tools shown in this article can be completely seamless as they all (including Docker) adhere to same specification under OCI, which is short for Open Container Initiative. This initiative contains specifications for container runtime, container distribution and container images, which covers all the features needed for working with containers.

In the early days of building your product, a standing weekly or biweekly check-in is common for these feedback sessions. These can shift to monthly or even quarterly as time goes on and the product gets closer to reaching market fit.

Save the audio and video, mine them for insights, and look for patterns that can be shared with your team. The easier the notes are to relate back to the relevant part of the recording, the easier it is to get multiple unbiased perspectives and recognize true behavioral patterns together.

It’s 2020, and with the high quality of today’s video conferencing, you can do this work from everywhere. Because it’s already a digital setting, there’s no excuse not to record it. After hundreds of times asking “Do you mind if I record this?” I’ve yet to hear any answer except for yes.

First of all, Docker is a monolithic tool. It’s a tool that tries to do everything, which generally is not the best approach. Most of the time it’s better to choose a specialized tool that does just one thing, but does it really well.

It’s much more common for product teams to continually learn and discover from their existing users than it is for them to gather insights from completely unbiased non-users. But a balance between the two groups — existing and new — is ideal. New users can give you a better understanding of your initial product experience, and existing “power users” can offer you insights that come from living with a product for weeks or months.

Thanks to the OCI you can choose a set of tools that best suit your needs and at the same time you can still enjoy using the same APIs and same CLI commands as with Docker.

When comparing Docker with any other tool we need to break it down by its components and first thing we should talk about are container engines. Container engine is a tool that provides user interface for working with images and containers so that you don’t have to mess with things like SECCOMP rules or SELinux policies. Its job is also to pull images from remote repositories and expand them to your disk. It also seemingly runs the containers, but in reality its job is to create container manifest and directory with image layers. It then passes them to container runtime like runc or crun (which we will talk about little later).

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at weird energy — the feeling you have to ‘butter them up’ before asking them out. Then, if a woman doesn’t want to have that type of relationship, which is her right, the nice guy will get upset and claim that she somehow wasted his time.



Category : general

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