Types of DBA | A Complete guide of Database Users and Administrators


Types of DBA’s – Table of Content

There are many kinds of DBAs. But the most common type is general DBA, who carries out all the administrative and data-oriented tasks. Some DBAs are specialized in building systems, while other DBAs concentrate on the maintenance and development of existing systems or on limited areas of the database management and administration. In large organizations, the responsibilities of DBAs are generally divided into different types of jobs.

Types of DBA’s include:

System DBA: DBA’s in this role concentrates on technical issues rather than that of business issues, mainly in the field of system administration. System DBA is also responsible for installing the latest DBMS versions, applying the maintenance fixes, setting system parameters, setting the OS, installation of third-party DBA tools, transaction processors, and networks to run on the DBMS, allowing DBMS to work with storage management softwares and devices, ensuring adequate storage of the DBMS and interfacing with other technology needed for database applications. 

System DBAs do not often participate in the effective implementation of applications and databases. They may help adjust applications when OS settings or complex DBMS settings need to be changed. In fact, the work of the DBA system usually only exists if the organization has no official system administration or a system programming department.

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Database Analyst: We don’t really have a fixed definition of this position. At times, Junior DBAs are designated as Database Analysts. In some cases, a database analyst plays a similar role as the database architect. At times, the Data Administrator is called a Database Analyst or Data Analyst. And sometimes, some companies use the term data analyst rather than a database administrator.

Data Modeler: Generally, a data Modeler is responsible for the subset of the responsibilities of a data architect. Generally, a data modeler is not considered as a DBA; however, it is not a strict rule.

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Database Architect: Some of the organizations create separate positions as database architects to develop and implement new databases. The database architect is responsible for new design as well as development work and does not participate in the administration, maintenance, or adjustment of applications and established databases. Database architect plans new databases to support existing or new applications. The reason for creating separate positions for these duties is that the skills needed to design new databases differ from the skills needed for the maintenance of the existing database implementation. Database Architect is similar to general-purpose DBA to have expertise in data management and modeling.

Task-Oriented DBA: Large organizations may create highly specialized DBAs to focus on a particular DBA task. They are very rare outside large organizations. An example of task-oriented DBA is recovery and backup DBA, whose job is to ensure the recoverability of the databases of the organizations. However, most of the organizations do not have such a specialization. When it is possible, these task-oriented DBA’s will make sure that highly skilled specialists are engaged in important DBA tasks. 

Data Warehouse Administrator: Organizations that establish data warehouses to carry out in-depth data analytics often employ DBAs particularly for monitoring and supporting the data warehouse environment. He must be a competent DBA with complete knowledge of the differences between data warehouses and databases which support OLTP. Database Administration needs experience with business Intelligence and query tools, ETL skills, knowledge on data warehousing technologies like ETL, OLAP, etc., specialized database design of data warehousing, etc.

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Performance Analyst: Performance analysts are one particular kind of task-oriented DBA. They are more common than that of task-oriented DBA’s. They concentrate only on the performance of the database applications. They need to understand all the details and all the SQL coding nuances for performance and have the capacity to develop performance databases. They possess thorough DBMS technical knowledge in order to be able to make proper changes to the DBMS and system settings as required. But, the performance analyst is not expected to be system DBA. He should be able to reach out to application developers to assist them in facilitating appropriate program changes for performance.

The Performance Analyst is typically the most qualified and senior-most member among the DBA staff. It is a role he has grown up with because of the experience and respect he earned in past tuning efforts.

Application DBA: Unlike the system, DBA is the application DBA. The DBA application concentrates on the database design and the continuous support and administration of the databases for a particular application or part of applications. The application DBA is capable of being an expert in writing and debugging complicated SQL and understands the best ways to include database requests in application programs are. The application DBA should be able to manage database change, performance adjustment, and most other DBA roles. The main difference is that the focus of application DBA is on a particular subset of applications instead of the overall implementation of the DBMS and the database environment. 

Some organizations do not hire application DBAs. But, wherever Application DBAs are available, DBAs of general-purpose are always needed to support the entire database environment and the infrastructure. And when there are no application DBAs in the organization, general-purpose DBAs are recruited to support particular applications and also to maintain the database environment of the organization.

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Conclusion:

Obviously, there are other types of DBAs as well. The fact is that the DBA job title doesn’t involve a single job. There are a lot of jobs that come under the category of database administrator.

In this blog, we have seen various types of DBAs. These types of DBA positions exist according to the responsibilities and the tasks that are assigned to them. We hope you found the blog “Types of DBAs” useful. For more blogs, stay tuned to HKR Trainings website.

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What is Kubernetes?

As the companies have started opting for a container-driven approach they have started understanding the importance of Kubernetes. K8s or Kubernetes is one of the most prominently used open-source container orchestration platforms that is used to deploy applications and manage containerized services. It refines and automates the process to build and deploy applications in a container environment.

The tool is being opted for by companies all over the globe due to several reasons:

  • The product reaches the market in less time. 
  • Overall cost optimization is great.
  • The tool improves scalability.
  • It enables the running of applications on any cloud (public, private, or even hybrid). 
  • It provides impactful migration to the cloud. 

With amazing microservice-based architecture, Kubernetes continues to gain popularity. It is one of those DevOps tools that are widely used and continuously evolving. There are several plug-ins, extensions, add-ons, and built-ins that make the tool so popular when it comes to running and managing the workload. 

There are several types of Kubernetes tools that are used to manage containerised services and applications. Here, we will be covering the top 5 categories of Kubernetes tools. 

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What are the most popular Kubernetes tools?

Kubernetes Monitoring Tools 

cAdvisor

cAdvisor is a Kubernetes Monitoring tool that monitors the usage of resources and their performance. The tool is an open-source system that starts monitoring when it is integrated into the kubelet library. Once integrated, it begins to collect all the relevant information like the memory file, statistics related to the Central Processing Unit, and network usage of all the containers.

Kubernetes Dashboard

Another popular Kubernetes Monitoring tool is Kubernetes Dashboard which is a web-based interface used for deploying and editing containerized applications. This tool is more popular with small clusters and helps in different tasks like discovery, monitoring, and load planning. Not just that, the Kubernetes Dashboard can be used to keep an eye on memory usage and overall system health. 

Kubelet

Kubelet is a node agent that runs on each node of a Kubernetes cluster. Using one of the hostnames, specific logic for a cloud provider, or a flag to override the hostname, it can register the node with the API Server. There is a YAML or JSON object, called “PodSpec” which describes each pod and these PodSpecs are used by Kubelet to monitor these nodes.

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Twistlock

Twistlock is a Kubernetes Security Tool that provides security to the container lifecycle. It scans all the images that are in the registry or the ones that were a part of the build and deploy process. Also, it continuously keeps an eye on any areas that show vulnerability. There are two most important aspects of container security that Twistlock focuses on. The first, is to keep a regular check over all the images in the ongoing process. Second, it keeps an eye on the running containers and if there is anything awkward in their behaviour.  

Falco

Falco is another Kubernetes Security Tool that keeps a check over any abnormal or unexpected activity in the Kubernetes containers. The tool has a single set of rules written in YAML with diverse options of optional and required keys. These rules are used to monitor several layers of the container which includes the application, network, host, and the container too. The plus point is that there can be a unique set of rules for each Kubernetes cluster. 

Aqua Security

Aqua Security is a Kubernetes tool that scans images of the container before they are deployed. The images are read-only which reduces the overall threat. Not just that, the tool is used to prevent, detect, and automatically respond when it comes to the secure building of the application lifecycle. Aqua Security also helps in the secure running of the workloads along with the secure building of the cloud infrastructure.

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Kubernetes Deployment Tools 
Helm

Helm is a popular Kubernetes Deployment and Management tool used to automate the creation, packaging, configuration, and deployment of applications and services. The tool organises bundled applications into charts before they are deployed to Kubernetes. Helm uses short CLI commands to simplify the installation and updating process on Kubernetes. Furthermore, the deployment tool records every chart’s installation and modification version history and provides commands to roll back to a previous version or upgrade to a newer one. 

Apollo

Apollo is a Kubernetes tool that provides a user interface to manage Kubernetes. The tool enables you to roll back deployment with a single click and also allows you to view logs. Furthermore, the tool enables the integration of all the present build processes, all it needs to know is when the artefact is ready. Also, Apollo can be used to check pod status, restart pods, and examine logs.

Kubespray

Kubespray is a Kubernetes Management tool which is a package of Ansible playbooks, provisioning tools, inventory, and domain language. The tool is used for the deployment and management of Kubernetes clusters. Kubespray supports OpenStack, AWS, Azure, and GCP (Google Cloud Platform). Also, the tool makes the process of Continuous Integration testing possible.  

Kubernetes CLI Tools

Kubectl

Kubectl is a Kubernetes CLI tool, i.e. a Command Line tool. The tool is used to interact or communicate with the Kubernetes cluster. Being a command line tool, its basic task is to run commands to communicate with the clusters. Now, to communicate with the Kubernetes cluster, it must authenticate with the cluster’s master node and make API calls for management actions. Furthermore, Kubectl is also used for deploying applications, inspecting and managing cluster resources along with viewing logs. 

Kubectx/ Kubens

Kubectx and Kubens are two Kubernetes utilities that can be accessed through a shared repository. While Kubectl is used to offer more functions, Kubectx is used when it comes to multi-cluster environments. Kubectx is also utilised in switching between clusters on kubectl more rapidly. Furthermore, kubens proves its worth when it comes to switching between Kubernetes namespaces and configuring them for kubectl. 

Kube-shell

Kube-shell is a Kubernetes tool that can be referred to as an integrated shell to work with Kubernetes CLI. In a way, Kube-shell is an alternative for kubectl or is often referred to as the shell that is constructed over kubectl. Kube-shell offers command auto-completion which makes the tool easier to use and increases its overall productivity. 

Kubernetes Serverless Tools
Kubeless

Kubeless is a Kubernetes-native, open-source serverless system that is used to deploy bits of code without paying much heed to the infrastructure. The tool enables a lot of tasks using the Kubernetes resources which help in auto-scaling, monitoring, troubleshooting and routing the API. Kubless also supports Custom Resource Definitions which proves its worth when it comes to the creation of custom Kubernetes resources. Furthermore, Kubeless enables the user to launch runtimes and make them available over HTTP.

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Fission Software

Fission Software or Fission is a serverless Kubernetes tool that enables developers to smoothly run their code functions along with automating the configuration process of Kubernetes microservices. So, all the developer has to do is write his/ her code functions and the rest will be taken care of by Fission. Also, Fission can work on the Kubernetes cluster from a laptop or a private data centre or even any public cloud, i.e it provides flexibility to deploy anywhere.   

IronFunctions

IronFunctions is another Kubernetes serverless tool that supports functions in all coding languages. Written in Goland, the tool supports AWS Lambda functions and also enables users to import and use Lambda functions on diverse platforms. The tool is widely used because of its ease of use and how it manages operators. 

Conclusion

By now, you would be well versed in the top categories of Kubernetes tools being used in the market today. In the beginning, you learned about the basics of Kubernetes and why they are one of the most preferred tools when it comes to managing containerized services.

Then you went on to check the top 5 categories of Kubernetes Tools – Kubernetes Monitoring Tools, Kubernetes Security Tools, Kubernetes Deployment Tools, Kubernetes CLI Tools, and Kubernetes Serverless Tools. While, at each category of Kubernetes Tools, you saw the three tools in those categories.

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