Optimizing DataOps in the Cloud with Zaloni and MongoDB

Migrating from on-premises to cloud-based data management is not a trivial task. To get the most benefit from new analytical and operational use cases, you’ll need a solid foundation in data management and a DataOps strategy with a strong focus on governance.

Zaloni’s Arena software provides a unified data management platform that can be easily deployed to manage such hybrid environments. Organizations can use out-of-the-box governance and automation capabilities to modernize, transform, and denormalize data into MongoDB Atlas. Data engineers can further implement analytical and reporting use-cases using no-code/low-code capabilities in Arena. Arena’s machine learning based data mastering and data provisioning capabilities support a wide variety of use cases, including the creation of customer 360 data stores with low latency access to data via MongoDB Atlas and MongoDB Atlas Search.

The following architecture diagram and demo video show how Arena integrates with MongoDB.

Demo Video

Cloud Data Management in Action

Use Case: Cloud Data Migration

Challenges

• On-premises databases do not provide adequate scalability or flexibility.
• Storage and compute need to be decoupled, allowing you to scale each independently.
• The on-prem model assumes the high costs and resource-intensive effort of maintaining, upgrading, and provisioning new servers. Many organizations can realize significant value by shifting costs from a capital expenditure (CAPEX) model to a more predictable and controllable operating expenditure (OPEX) model. Digital transformation initiatives require data and application modernization.

Solution

• Migrate to the cloud for an OPEX-only model, saving precious time, resources, and costs.
• Provide low code/no-code data pipelines with data quality checks, profiling, masking, and tokenization.
• Allow one time and recurring data migration.
• Enable data consumption from MongoDB.

#mongodb #zaloni

What is GEEK

Buddha Community

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

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

Query of MongoDB | MongoDB Command | MongoDB | Asp.Net Core Mvc

https://youtu.be/FwUobnB5pv8

#mongodb tutorial #mongodb tutorial for beginners #mongodb database #mongodb with c# #mongodb with asp.net core #mongodb

Install MongoDB Database | MongoDB | Asp.Net Core Mvc

#MongoDB
#Aspdotnetexplorer

https://youtu.be/cnwNWzcw3NM

#mongodb #mongodb database #mongodb with c# #mongodb with asp.net core #mongodb tutorial for beginners #mongodb tutorial

How Cloud Optimisation Helps Reduce Total Cost of Infrastructure Ownership

As the whole world is slowly awakening from several months of complete lockdown as a result of the COVID-19 outbreak, Cloud computing has started gaining even more steam it had before the pandemic. No wonder why the role of Cloud is becoming more crucial for business success nearly in every single niche and vertical. Today, companies are ready (or are forced in some cases) to go the extra mile to accelerate their pace of innovation and digital transformation. They’re craving to make a change they’ve always been apprehensive about in the pre-pandemic world. It’s becoming more apparent to businesses that digital transformation gives an excellent opportunity to not only survive in turbulent times but gain value-added benefits, too.

Let’s take a look at how Cloud optimisation can speed up and facilitate digital transformation and save costs.

How COVID-19 has affected businesses

Today, all businesses can be divided into three main categories based on how they’ve been affected by the pandemic:

• Companies specialised in eCommerce and online retail or providing essential online services like elearning, car-sharing, delivery etc. They are growing unexpectedly fast as a result of the pandemic. However, their local infrastructures were dated and not ready to handle the loads related to the influx in new users or increased number of transactions. So they have urgent short-term needs to modernise their internal systems and jump fast on the latest technology bandwagon to capitalise on the change caused by the Coronavirus.
• Companies in tourism and travel, HoReCa or offline retail. They’re taking a beating and facing substantial financial losses as a result of hibernation that the pandemic has pushed them to. These organisations are mostly focused on reducing operating costs, saving every penny and retaining as much in-house staff as possible. As such, cutting costs on IT infrastructure support is becoming critical to them.
• Companies unaffected by Corona that keep doing business as usual without any significant change.

What do all these companies have in common? Lack of clarity and understanding of what the future holds for them. No one knows now how the situation will unfold in the months to come. As a result of this frustration:

• Even companies that hit the jackpot and are doing good aren’t ready to increase their investments in IT infrastructure development and modernisation. They would lie doggo and wait rather than rush to increase their IT spending.
• Companies are shifting focus from building long-term strategies able to yield results and bring substantial benefits in 1–2 years to short-term plans able to bring more mediocre yet more tangible results in the short-run (within months or even weeks).
• Infrastructure scalability and effectiveness are becoming the top priority for the business. Organisations realise that their infrastructure should be able to adjust quickly to critical situations like we’re having now; otherwise, they won’t be able to stay afloat. Cloud allows for fast and flexible scaling while keeping costs low, as there’s no need to invest in data centers, physical servers, etc.

#cloud-optimization #cloud #multi-cloud #hybrid-cloud #cloud-computing