Data analytics assists organizations with changing over their business information into actionable insights. We are prepared to implement our best data analytics practices enabling companies with educated dynamic in the following industry sectors:
Cloud computing is the services provided online instead of storing data in the hard drive. It allows you to retrieve data from anywhere and access it on all the available devices through cloud computing. In simple terms, the cloud, the real cloud is present everywhere. When we look up in the sky the clouds tend to appear everywhere we move, similarly, the data we create and want to create gets stored on a platform called cloud (internet), and that data can be accessed from anywhere in the world. Internet connectivity is the main character to establish the goal.
2. Why Cloud Computing is on Demand?
The golden age taught us storage of data requires a hard drive, different software to protect them, and also a lot of equipment to manage it. It also requires a high amount of money depending upon the quantity of data. This problem came into the picture when cloud computing like Google Drive started helping people store their data online. Google Drive enables a user to store the data online and access it from anywhere via the internet. This way, you do not lose any data, as it is saved online and does not require any hard drive or storage devices to store it. This not only reduces the cost but also increases compatibility. You don’t have to carry that extra baggage full of hard drives. It is on-demand because tons of important data can be lost if it is stored in the hardware, if the desktop is not working properly, then retrieving that data becomes next to impossible. Whereas with cloud computing, you don’t rely on devices, you just trust the internet.
3. Cloud Transformation:
Application Re-Architect and Rewrite approaches on Cloud Re-platforming, like the name suggests, is upgrading an application, reducing dependency between the execution environment (application) and its host architecture/code. Traditionally, the two of them being inter-dependent, posed challenges while migrating towards new technological infrastructure. But separation offers design flexibility, easy scalability, and a smoother transition into newer platforms. That is where re-platforming comes into the picture – Think of it as a home renovation, on various levels – moving from physical to cloud-based, like vertical models of RDBMS to data as a service and so on. There are various strategies an enterprise can deploy towards cloud modernization, with each having its own pros and cons. Re-Platforming brings together a bunch of techniques that isolates the application from its execution platform, and reinstall it in the new environment. Or the business process can be broken down into bite-sized pieces, which are reinforced with cloud-based applications one by one. Choosing the best fit for an enterprise is necessary after careful consideration since it is critical for cloud migration. The decision in itself is driven by various factors, which include software licenses, hardware upgrades, regulatory compliances, etc., Fortunately, there are multiple approaches that can be used to migrate the application to the cloud. Here are the strategies:
Lift-and-shift (Re-Host): It involves lifting a part of the application or a complete application from an on-premises or existing cloud environment to a new cloud environment. It is also referred to as a re-host strategy. The shifting is done with very little or no modification. While implementing a lift and shift approach, you may require to change the host configuration if the application is shifting to new cloud-based hardware.
Lift, Tinker, and Shift (Re-Platform): A portion of the application or the entire application is optimized or a little before moving to the cloud. Experts suggest that a small cloud optimization can bring significant benefits without changing the core application architecture. Minor changes can also help in significant application improvement. The re-platform approach allows developers to reuse the resources they are accustomed to working with such as legacy programming languages, development frameworks, and existing caches in the application.
Rearchitect or reframing Strategies: Refactor entails making major changes in the application configuration as well as application code for migration. It is a bit complex approach than the above-mentioned two approaches since while making application code changes, it must be ensured that the changes do not impact the external behavior of the application. For example, if your existing application is resource-intensive, it may cause larger cloud billing because it involves big data processing or image rendering. In that case, redesigning the application for better resource utilization is required before moving to the cloud.
4. AWS VS Azure VS Google –
Cloud Comparison Today’s top 3 giantsi.e Amazon, Microsoft, and Google, have their own cloud platforms and their names are Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Amazon web services – AWS has evolved and how! The cloud service provider endows on-demand service to organizations, governments, and individuals. It is a secure cloud-service avenue that offers computing power, CDN, database storage to help businesses grow and scale their offerings. AWS functions on an annual subscription pricing model in addition to the free-tier option for the organizations to get hands-on experience at zilch sub-charges. AWS was first launched with a view to effectively handle its growing retail operations. It is credited to be the 1st cloud-computing company to introduce the Pay-as-you-go model. AWS can handle multiple services such as data management, hybrid cloud, migration, AI, big data management, and more. AWS has 100 plus services in its directory with benefits like cost-effectiveness, flexibility, agility, and security. Microsoft Azure – Azure is Microsoft’s cloud computing platform that offers a gamut of cloud services including analytics, storage, computing, and networking. It has 3 models of cloud services like SaaS, PaaS, and IaaS and is an open and flexible enterprise-level platform faster to use. Azure primarily has 11 services that it offers to its clients namely, Hybrid integration, Data storage, compute, analytics, CDN, IoT, Management and security, etc. It assists businesses to improve their agility and let the developing ecosystem and pipeline communication. Google Cloud – GCP is one of the youngest Cloud players but even in the little time span, it has managed to establish a good customer base. Its BigQuery analytics engine, ML tools, and innovative approach for bigger enterprises have established it as a strategic cloud player. It started its journey in 2011 with the intention to strengthen its own base of products. But as of now they also have initiated enterprise services so that any organization that shares the same infrastructure like Google search can use it. AWS Vs Azure Vs Google Cloud: Services With the added advantage of five years of a head start, AWS computing services are by far the most evolved and functionally rich. Compute Services Key Takeaways Now, let’s wrap up this Azure vs AWS vs Google Cloud blog and take a look at the most significant pros and cons of these three cloud giants. Establishment: With a head start of 5 years, the winner here is AWS.
Availability zones: With a greater number of regions and availability zones, the winner here is AWS
Market shares: With around one-third of market shares in its name, the winner here is AWS. ● Growth rate: Having a growth rate of almost 100 percent, the winner is GCP.
Who uses them: With various high-end customers using all three cloud platforms, it’s a tie!
Services: When it comes to the number of services, the winner is AWS. Services AWS Azure GCP IaaS Amazon Elastic Compute Cloud Virtual Machines Google Compute Engine PaaS AWS Elastic Beanstalk App Service and Cloud Services Google App Engine Containers Amazon Elastic Compute Cloud Container Service Azure Kubernetes Service (AKS) Google Kubernetes Engine server less Functions AWS Lambda Azure Functions Google Cloud Functions ○ Regarding the integration with open-source and on-premise systems, such as MS tools, that are mostly used in almost all organizations, the winner is Azure.
Pricing Models: With more customer-friendly pricing models and discount models, the winner here is Google Cloud.
5. Edge Computing (The Future of Cloud):
Edge computing is defined as the practice of processing and storing data either where it’s created or close to where it’s generated, whether that’s a smartphone, an internet-connected machine. It reduces latency, or the time it takes for an application to run or a command to execute. Anything that generates a massive amount of data and needs that data to be processed as close to real-time as possible can be considered a use case for edge computing. While discussions around edge computing are not necessarily new, the growth of the Internet of Things (IoT) has clarified how critical establishing the right presence at the edge can be. Decreasing the cost of computer components, mobile computing, and IoT devices are the main drivers toward edge computing. All industries worldwide will soon have to leverage on edge computing and the data gathered at a higher rate in order to stay competitive and relevant. Reduced cost in service by monitoring hardware condition and sending alerts before problems appear, avoiding breakdowns, is just one of many ways to monetize from edge computing. Edge computing is broadly used in verticals like aerospace and defense, oil and gas wells, automotive condition monitoring, smart buildings, and in any case that will need high-speed in-memory OLTP (On-line Transaction Processing) data to be stored on the edge.
How to tackle the demands of today’s edge computing environment?
First of all, you need to have an edge computing strategy. Most companies already have edge computing devices, but they do not leverage all the data they potentially can use.
It starts with the sensors and actuators that need an operating system
Then you need a database engine that enables the operating system to be a smarter content management system. A database system like Raima Database Manager captures and organizes the information on-premise in near real-time.
An analytics software processes the data that determines the health, shows real-time performance, and sends alerts before problems appear, avoiding breakdowns and lowering operating costs.
Historical data can then be pushed to the cloud and analyzed overtime to make sure the right decisions will be made for the future.
6. Cloud migration (Transforming more than technology):
Cloud Migration is the process of moving digital business operations into the cloud. Most often, the word “cloud migration” described the move from on-premise or legacy infrastructure to the cloud. Many enterprises move their applications and data to the cloud to avoid the need to build and maintain an on-premise infrastructure. Moving to the cloud meant easy data back-up and recovery. Much like a move from a smaller office to a larger one, a cloud migration requires quite a lot of preparation and advance work, but usually, it ends up being worth the effort, resulting in cost savings and greater flexibility. Cost is not the only factor driving this change. There are also factors like availability, accessibility, flexibility, scalability, and security involved which make it a viable business strategy with massive economic advantages.
Ensure Business Continuity The cloud market is emerging and it comes up with innovative and emerging technologies. When we talk about the digital transformation in the longer-term, cloud computing is increasingly appearing to be a major contributor to the ever-changing business landscape.