E2E Database as a Service (DBaaS)

May 14, 2021

Database as a Service (DBaaS) offers businesses the essential cost-effectivity with enhanced efficiency. A report from Statista reveals that 40% of the total respondents use some kind of DBaaS. With increasing popularity, the global Cloud Database and DBaaS market is estimated to reach $320.3 billion by 2025, with a compounded growth of 68.9%.

What is E2E DBaaS?

E2E DBaaS by E2E Cloud is the first end-customer product that is not tied to any physical host. E2E DBaaS provides businesses with excellent performance and practically zero downtime.

The DBaaS offers a wide selection of node types for fitting a range of relational database use cases comprising various database engines, including MySQL and Maria DB. It comes with a default set of alerts for system monitoring. It provides a capability to create additional alerts on the need basis. The clients need to decide on the number of slaves and configure their setup with the required capacity.

E2E DBaaS provides its customers with database backup in the form of preconfigured snapshots and on-demand snapshots. The DBaaS supports InnoDB databases explicitly due to their superior features like better crash recovery mechanisms, bin (binary) logs, and excellent performance.

E2E DBaaS Benefits

E2E DBaaS offers a wide range of benefits to its users.

  • Faster Deployment

E2E DBaaS is quick to deploy and frees you and your staff from installing, updating, and maintaining your database.

  • Reduced Cost

By eliminating the infrastructure cost straightaway, E2E DBaaS helps you save significantly. You no longer need to spend on the server room space. Automation of provisioning, patching, and setups further reduce the time and cost involved in administrative activities.

  • Rapid Provisioning and Scalability

Compared to physical databases that may take days or weeks to set up or scale up, E2E DBaaS offers quick self-service provisioning, which can be a matter of a few minutes. It eliminates administrative responsibilities and governance hurdles from IT and saves time-to-market, resulting in further cost-savings.

  • Business Agility

Faster development and rapid provisioning, and scalability offered by the E2E DBaaS result in increased business agility to quickly respond to changing business needs. It better prepares you for today’s volatile marketplace.

How E2E DBaaS is the Right Choice for Your Business

With its many inherent features and plans, E2E DBaaS is the best choice for your business.

  • Ease of Administration

E2E DBaaS reduces its clients’ time and efforts significantly by simplifying the database service deployment and management. The DBaaS is designed to send the read query to the slave without clients needing to configure it explicitly. Further, when it comes to database backups, unlike other DBaaS alternatives, E2E DBaaS enables you to take volume-level snapshots directly, without the need to use scripts.

  • Better Business Continuity

With a capability of node recovery within a couple of minutes, E2E DBaaS offers superior business continuity. Based on your changing business needs, you can easily upgrade or downgrade your database on-demand by setting up slave nodes with a few clicks, offering quick scalability and failover.

  • Enhanced Security

E2E DBaaS is highly optimized and secure, a must-have aspect in today’s business world. It offers access controls that help you restrict permissions from where anyone can access the database, making it extremely difficult for unauthorized access from the external environment.

  • Reliable Performance

E2E DBaaS offers effective system monitoring through slow query logs and fundamental in-built alerts such as CPU utilization, disk usage alerts, and more. It provides basic IOPs and information like other DBaaS platforms. 

  • Optimized Plans

The DBaaS comes with a wide range of optimized plans with an attractive price-performance combo. The varying combinations of CPU, storage, and memory usage in the E2E DBaaS Node Cluster configuration offer you the flexibility to select the right mix of resources for your database. The E2E DBaaS plans start with a combination of 2 vCPUs with 8 GB of dedicated RAM and 100 GB SSD of disk space and go up to 32 vCPUs with 360 GB of dedicated RAM and 2000 GB SSD of disk space.
E2E DBaaS by E2E Cloud offers you the benefits of a Database as a Service with cost-effectivity. E2E Cloud services offer businesses the best availability, high reliability, and advanced technical stacks and provide superior quality solutions to ensure excellent uptime and ultra-low latency. For more E2E DBaaS information, contact us today.

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A Complete Guide To Customer Acquisition For Startups

Any business is enlivened by its customers. Therefore, a strategy to constantly bring in new clients is an ongoing requirement. In this regard, having a proper customer acquisition strategy can be of great importance.

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To resolve this, typically, companies invest, but if that is not channelized properly, it will be futile.

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Combining these strategies with your long-term business plan will bring results. However, there will be challenges on the way, where you need to adapt as per the requirements to make the most of it. At the same time, introducing new technologies like AI and ML can also solve such issues easily. To learn more about the use of AI and ML and how they are transforming businesses, keep referring to the blog section of E2E Networks.

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The Main Objective of the 3D Object Reconstruction

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State-of-the-art Technology Used by the Datasets for the Reconstruction of 3D Objects

The technology used for this purpose needs to stick to the following parameters:

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Training with the help of one or multiple RGB images, where the segmentation of the 3D ground truth needs to be done. It could be one image, multiple images or even a video stream.

The testing will also be done on the same parameters, which will also help to create a uniform, cluttered background, or both.

  • Output

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  • Network architecture used

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  • Training used

The degree of supervision used in 2D vs 3D supervision, weak supervision along with loss functions have to be included in this system. The training procedure is adversarial training with joint 2D and 3D embeddings. Also, the network architecture is extremely important for the speed and processing quality of the output images.

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Volumetric representations and surface representations can do the reconstruction. Powerful computer systems need to be used for reconstruction.

Given below are some of the places where 3D Object Reconstruction Deep Learning Systems are used:

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  • It can be used in airport security, where concealed shapes can be used for guessing whether a person is armed or is carrying explosives or not.
  • It can also help in completing DNA sequences.

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A Comprehensive Guide To Deep Q-Learning For Data Science Enthusiasts

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So, read on to know more.

What is Deep Q-Learning?

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State> Next state> Action> Reward

The neural network training stability increases using a random batch of previous data by using the experience replay. Experience replay also means the previous experiences stocking, and the target network uses it for training and calculation of the Q-network and the predicted Q-Value. This neural network uses openAI Gym, which is provided by taxi-v3 environments.

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What is Reinforcement Learning?

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Now, the understanding of reinforcement learning is incomplete without knowing about Markov Decision Process (MDP). MDP is involved with each state that has been presented in the results of the environment, derived from the state previously there. The information which composes both states is gathered and transferred to the decision process. The task of the chosen agent is to maximize the awards. The MDP optimizes the actions and helps construct the optimal policy.

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What is Q-Learning Algorithm?

The process of Q-Learning is important for understanding the data from scratch. It involves defining the parameters, choosing the actions from the current state and also choosing the actions from the previous state and then developing a Q-table for maximizing the results or output rewards.

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In case the Q-table size is huge, then the generation of the model is a time-consuming process. This situation requires Deep Q-learning.

Hopefully, this write-up has provided an outline of Deep Q-Learning and its related concepts. If you wish to learn more about such topics, then keep a tab on the blog section of the E2E Networks website.

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