Ruth  Nabimanya

Ruth Nabimanya

1623223920

5 Best Cloud Databases to Use in 2021

Amazon DynamoDB, Google BigQuery, Azure SQL Server, Azure Cosmos DB, Amazon Redshift

In 2012, Amazon released the first cloud database DynamoDB and changed the database landscape forever. Since then, cloud databases have experienced a meteoric rise in terms of adoption and innovation. As the whole Software development industry moves towards cloud-native development, cloud databases will be increasingly more important in the coming days. Gartner has predicted that by the end of 2022, 75% of all databases will move to the Cloud:

Why are cloud databases getting popular? In terms of database technology, the public cloud databases are not different from other SQL or NoSQL databases. However, the key selling point of the public cloud databases lies in database management and scaling.

In traditional SQL databases and many NoSQL databases, the application owners manage the databases, including replication, sharding, backup, restoration, scaling. But in cloud databases, the cloud provider manages the database.

Most cloud-native databases offer the following features along with the basic database management system:

  • Horizontal Scaling with managed partitioning/sharding.
  • Automatic Backup and restoration.
  • High availability with guaranteed SLA.
  • Cross data-center replication.
  • Support different consistency levels (Strong consistency, eventual consistency).
  • Cloud-Native.
  • Support multiple-model.
  • Move data to the edges with global distribution.
  • Serverless.
  • Planet scale.

Although the mainstream SQL and NoSQL databases are now trying to retrofit these features, they are not built from the ground-up for these needs.

In this article, I will rank the five most in-demand cloud-native database according to the following criteria:

  • Key Features
  • Popularity
  • Trending
  • Mainstream uses
  • Bright Future

#data #nosql #cloud #database #big-data #5 best cloud databases to use in 2021

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5 Best Cloud Databases to Use in 2021
Adaline  Kulas

Adaline Kulas

1594162500

Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

  • Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

  • Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

  • Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Ruth  Nabimanya

Ruth Nabimanya

1623223920

5 Best Cloud Databases to Use in 2021

Amazon DynamoDB, Google BigQuery, Azure SQL Server, Azure Cosmos DB, Amazon Redshift

In 2012, Amazon released the first cloud database DynamoDB and changed the database landscape forever. Since then, cloud databases have experienced a meteoric rise in terms of adoption and innovation. As the whole Software development industry moves towards cloud-native development, cloud databases will be increasingly more important in the coming days. Gartner has predicted that by the end of 2022, 75% of all databases will move to the Cloud:

Why are cloud databases getting popular? In terms of database technology, the public cloud databases are not different from other SQL or NoSQL databases. However, the key selling point of the public cloud databases lies in database management and scaling.

In traditional SQL databases and many NoSQL databases, the application owners manage the databases, including replication, sharding, backup, restoration, scaling. But in cloud databases, the cloud provider manages the database.

Most cloud-native databases offer the following features along with the basic database management system:

  • Horizontal Scaling with managed partitioning/sharding.
  • Automatic Backup and restoration.
  • High availability with guaranteed SLA.
  • Cross data-center replication.
  • Support different consistency levels (Strong consistency, eventual consistency).
  • Cloud-Native.
  • Support multiple-model.
  • Move data to the edges with global distribution.
  • Serverless.
  • Planet scale.

Although the mainstream SQL and NoSQL databases are now trying to retrofit these features, they are not built from the ground-up for these needs.

In this article, I will rank the five most in-demand cloud-native database according to the following criteria:

  • Key Features
  • Popularity
  • Trending
  • Mainstream uses
  • Bright Future

#data #nosql #cloud #database #big-data #5 best cloud databases to use in 2021

Adaline  Kulas

Adaline Kulas

1594166040

What are the benefits of cloud migration? Reasons you should migrate

The moving of applications, databases and other business elements from the local server to the cloud server called cloud migration. This article will deal with migration techniques, requirement and the benefits of cloud migration.

In simple terms, moving from local to the public cloud server is called cloud migration. Gartner says 17.5% revenue growth as promised in cloud migration and also has a forecast for 2022 as shown in the following image.

#cloud computing services #cloud migration #all #cloud #cloud migration strategy #enterprise cloud migration strategy #business benefits of cloud migration #key benefits of cloud migration #benefits of cloud migration #types of cloud migration

I am Developer

1611112146

Codeigniter 4 Autocomplete Textbox From Database using Typeahead JS - Tuts Make

Autocomplete textbox search from database in codeigniter 4 using jQuery Typeahead js. In this tutorial, you will learn how to implement an autocomplete search or textbox search with database using jquery typehead js example.

This tutorial will show you step by step how to implement autocomplete search from database in codeigniter 4 app using typeahead js.

Autocomplete Textbox Search using jQuery typeahead Js From Database in Codeigniter

  • Download Codeigniter Latest
  • Basic Configurations
  • Create Table in Database
  • Setup Database Credentials
  • Create Controller
  • Create View
  • Create Route
  • Start Development Server

https://www.tutsmake.com/codeigniter-4-autocomplete-textbox-from-database-using-typeahead-js/

#codeigniter 4 ajax autocomplete search #codeigniter 4 ajax autocomplete search from database #autocomplete textbox in jquery example using database in codeigniter #search data from database in codeigniter 4 using ajax #how to search and display data from database in codeigniter 4 using ajax #autocomplete in codeigniter 4 using typeahead js

Ruth  Nabimanya

Ruth Nabimanya

1620648300

What is SQL? And Where is it Used?

Define: SQL [pron. “sequel”] – stands for Structured Query Language (SQL), used by databases to model and manage tabular/relational datasets; a set of standardized Data Definition Language (DDL) functions to create tables, views, and define relational schema models, and Data Manipulation Language (DML) to query, insert, and modify data in the tables.

*Read-only select queries are technically part of its Data Query Language (DQL) group. Still, operationally, many refer to it as DML because it can do more than read-only queries.

Super Brief History of SQL

Who Uses SQL?

What Can a SQL Database Do?

What is a SQL Query?

Different SQL Database Platforms

SQL for JSON

Application Developers

SQL for Big Data

Further Reading

#sql #database #relational-database #nosql #json #sql-database #database-administration #databases-best-practices