dbForge SQL Tools vs. Kubernetes

dbForge SQL Complete is well suited for professionals that have to write code all day. In my role in the business intelligence department we are writing SQL pretty much all day. Having a tool that helps us do that faster, in a cleaner way is pretty awesome and something that pays for itself quickly.

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K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.

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• SQL complete allows you to create custom snippets that allow you to store frequently ran queries in shortcuts. The code can be populated within seconds!
• Another great benefit is custom aliases. If you frequently reference the same tables over and over again it gets tiresome to retype the aliases. Storing these can make your code more consistent and save time.
• SQL complete will also highlight the metadata within your database. For example, if you start typing an insert statement you populate code for all the field names by pressing the tab. This is a real-time saver for wide tables!

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• Complex cluster management can be done with simple commands with strong authentication and authorization schemes
• Exhaustive documentation and open community smoothens the learning process
• As a user a few concepts like pod, deployment and service are sufficient to go a long way

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• Sometimes it can be slow to retrieve the database metadata.
• Updating the software with the activation/deactivation of licenses could be further streamlined.

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• Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally.
• The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively.
• Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking.

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The Kubernetes is going to be highly likely renewed as the technologies that will be placed on top of it are long term as of planning. There shouldn't be any last minute changes in the adoption and I do not anticipate sudden change of the core underlying technology. It is just that the slow process of technology adoption that makes it hard to switch to something else.

It is an eminently usable platform. However, its popularity is overshadowed by its complexity. To properly leverage the capabilities and possibilities of Kubernetes as a platform, you need to have excellent understanding of your use case, even better understanding of whether you even need Kubernetes, and if yes - be ready to invest in good engineering support for the platform itself

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I am very satisfied after using this tool. It is a full-stack tool that includes rich features that can be customized set of functionality as per your need. by using this tool:-

• Increased our productivity rate.
• Provides speed up your development work so you can focus on other stuff.

Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.

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• Spending less time trying to figure out how tables are related thanks to the navigational help in dbForge SQL Complete, which means fixing issues takes less time.

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• Because of microservices, Kubernetes makes it easy to find the cost of each application easily.
• Like every new technology, initially, it took more resources to educate ourselves but over a period of time, I believe it's going to be worth it.

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