Home > Blogs > Cloud Computing Technology - Master the Concepts
Cloud computing has taken over the world by storm the past few years. It has created such a buzz that even the most common layman would have heard it at least a couple of times in his life.
This concept, though has come to be spoken about widely only in the past few years, it has been in use for at least a decade now. Some very common examples of cloud solutions are Gmail, Facebook, Dropbox, Skype and PayPal.
So what exactly is cloud computing ?
Cloud Computing is Internet-based computing, whereby shared resources, software and information are provided to computers and other devices on-demand, like the electricity grid. So as learnxpress puts it, “Cloud computing is a culmination of numerous attempts at large scale computing with seamless access to virtually limitless resources.”
The main idea behind the cloud is for you to be able to access all your information over the internet without having to know the details of the infrastructure used to enable it. It works similar to the concept of call routing in cell phone companies.
It was forecasted last year that the global cloud services market would be worth a whopping $180 billion for 2015 with 50 million physical servers in the world. This goes on to show the growing significance of cloud computing in today’s world.
Why cloud computing?
Many companies are using cloud computing today either directly or indirectly because of its various advantages:
Flexibile: One of the biggest benefits of cloud computing is its flexibility. It can be used by people located at different geographies to access applications and also work through the internet. So, if your business have fluctuating bandwidth and expanding demands, shifting base to cloud should be your ideal solution. If in the future, your needs heighten/decline, it’s convenient to scale up your cloud capacity or cutting it short drawing on the service’s remote servers without having to let the entire network go down. And the opposite too works as easily. The agility that cloud offers can help you stay one step ahead of your competition at all times.
Security: In the virtual world, security of data is one of the biggest concerns that plague companies and individuals. If you lose your computer, you are at the risk of losing pretty much everything. More than the equipment itself, you need a way to save the data that is used by you on a regular basis. This is when Cloud Computing comes in handy as it gives you greater security. Since all the data you have is stored in a cloud, you can access it from wherever regardless of the machine that you’re using. Not only that, what is more interesting is the fact that you can wipe off all the data from the lost laptop even when you don’t have it with you to avoid data getting wrong hands.
Automatic software update: There are updates having in softwares on a regular basis and if you are on a cloud network, then you’re one of the few lucky ones that will experience that update taking places regularly without any interruption. Suppliers roll out updates regular that take care of themselves and help you save time on maintaining things by yourself. In the process, you are free to concentrate on the bigger picture and make your business grow.
Increased team collaboration: When there are different people located in different places yet working on the same project, collaboration becomes a challenge, not with Cloud Computing though. In fact, it contributes towards an increased team collaboration across geographies as your team can access, edit and share documents from anywhere at any time. This helps people to work together in perfect co-ordination with each other. The cloud computing file sharing apps and work-flow helps your team make updates in real time.
Work from anywhere: Cloud computing enables people to work from anywhere as long as they have a working internet connecting. Also, you can use any device that you have as most of cloud services provide apps compatible on different devices. This can help you facilitate a work-life balance for your employees so that they can adapt a model that works best for them without productivity having to suffer.
Environment friendly: Using cloud computing it not only good for your business but for the environment too. How so? Well, by using cloud services, you’re also reducing your carbon footprints. When your cloud needs fluctuate, your server capacity scales up and down to fit helping you use only that much energy that you actually require. And, in today’s world with so much global warming taking place, we need to contribute to the environment the best way we can.
Cost effective: Opting for cloud services, you’ll also contribute towards maximizing the budget of your firm. It reduces your maintenance fee as there are no more servers, software and update fee required any more. There are many hidden costs like software implementation, customization, hardware, maintenance, and training that are all rolled into one subscription fee.
Key concepts that govern cloud computing
There are certain key concepts associated with basics of cloud computing that govern this service. It helps to know a little about them. Read on to know more:
Platform (PaaS): It is a model to run applications without having the hassle to maintain the hardware and software infrastructure at your company. Organizations regardless of their sizes have adopted the PaaS solutions for the simplicity, scalability, and reliability that it offers. PaaS applications don't need constant upgrade.
Software (SaaS): According to novaitsolutions.in, in this software distribution model, applications are hosted by a vendor or service provider and made available to customers over a network, typically the Internet. SaaS is "becoming an increasingly prevalent delivery model as underlying technologies that support Web services and service-oriented architecture. (Rouse, 2010, para 2).
Infrastructure (IaaS): This form of cloud computing provides virtualized computing resources over the Internet. IaaS is one of three main categories of cloud computing services, along with the above mentioned two. In this model, a third-party provider hosts hardware, software, servers, storage and other infrastructure components on behalf of its users.
Services-based application programming interface (API): An abbreviation of application program interface is a set of routines, protocols, and tools for building software applications. The API specifies how software components should interact and APIs are used when programming graphical user interface (GUI) components. A good API makes it easier to develop a program by providing all the building blocks. A programmer then puts the blocks together.
If you haven’t moved to cloud yet, then the above mentioned benefits should be enough for you to make a decision. Just make sure that you know the key concepts well enough to understand which of the models to opt for.
Home > Blogs > Introduction to cloud computing with Amazon Web Services – A Guide
Managing the unique and groundbreaking changes in both technology and business over the past decade has created an ongoing IT infrastructure challenge for many senior technology executives. Indeed, over the past ten years, the typical business application architecture has evolved from a desktop-centric installation to client/server solutions and now to web services.
Recently, virtualization has become a widely accepted way to reduce operating costs and increase the reliability of enterprise IT. Along with these technology changes, the speed of innovation and unprecedented acceleration in the introduction of new products has fundamentally changed the way markets work. Along with the wide acceptance of software as a service (SaaS) offerings, these changes have paved the way for the latest IT infrastructure challenge: cloud computing.
What is Cloud Computing?
Cloud computing has become one of the most discussed IT paradigms of recent years. Cloud computing enables organizations to obtain a flexible, secure and cost-effective IT infrastructure, in much the same way that electric grids enable homes and organizations to plug into a centrally managed, efficient and cost-effective energy source. With cloud computing, organizations have the liberty to consume shared computing and storage resources rather than building, operating and improving infrastructure on their own.
Why Cloud Computing?
✓ Flexible: If you are on a business that is growing by the day and has fluctuating bandwidth demands, cloud computing is the ideal solution. Here’s why? With cloud computing, you can scale up or reduce your cloud capacity as and when you deem fit. This by just drawing on the service’s remote servers.
✓ Disaster recovery: Here is a term that’s mandatory for businesses of all sizes. However, for smaller businesses that lack the cash flow or expertise; disaster recovery often becomes the foremost worry. According to Aberdeen Group, small businesses are twice as likely as larger companies to have implemented cloud-based backup and recovery solutions that save time, avoid large up-front investment and roll up third-party expertise as part of the deal.
✓ Automatic software updates: Here’s why we insist on cloud computing - the servers are remotely located, nowhere to be seen around you which means that they are also out of your jurisdiction for physical maintenance. Once you have paid your suppliers, they take care of everything for you, from software updates to security updates.
✓ Capital-expenditure Free: Cloud computing is not heavy on your pocket unlike other hardware. They have a hassle-free pay-as-you-go solution. You get what you pay for.
✓ Increased collaboration: When you and your colleagues can access, edit and share information/crucial documents at any time of the day from anywhere, doing more and working better becomes easier.
✓ Document control: So, no more sharing and sending emails back and forth with updates and approvals! On cloud, all your files are stored at a central location where everyone who has access to the file sees the updates and the truth in real time. This provides enhanced collaboration which increases productivity.
✓ Security: Because all your data is stored on the cloud, it’s in safe hands. No matter what happens to your system, your data is secure. Any by the way, if you lose your system, fret not. All you have to do is wipe your data.
✓ Environmentally friendly: When you use only the amount of energy you consume, you don’t leave behind a massive carbon footprint.
Alright, now that we have given you a synopsis of cloud computing but you still want to attain further knowledge in cloud computing and its various nuances, here’s something we think will entice you: Manipal ProLearn’s Cloud Computing with AWS.
An overview of Amazon Web Services
In 2006, Amazon Web Services (AWS) began offering IT infrastructure services to businesses on the cloud. Amazon launched Cloud Computing with AWS so that companies could gain from the rich experience of Amazon’s investment in running a large-scale distributed, transactional IT infrastructure. AWS today serves millions customers across the globe providing a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world.
Here’s how organizations use AWS:
- A large enterprise quickly and economically deploys new internal applications, such as HR solutions, payroll applications, inventory management solutions and online training to its distributed workforce.
- An e-commerce website accommodates sudden demand for a “hot” product caused by viral buzz from social media without having to upgrade its infrastructure.
- A pharmaceutical research firm executes large-scale simulations using computing power provided by AWS.
- Media companies serve unlimited video, music and other media to their worldwide customer base.
Organizations pay only for what they use without up-front or long-term commitments.
AWS enables organizations to use the programming models, operating systems, databases and architectures with which they are already familiar. In addition, this flexibility helps organizations mix and match architectures in order to serve their diverse business needs.
Scalable & elastic
Organizations can quickly add and subtract AWS resources to their applications in order to meet customer demand and manage costs.
AWS builds services in accordance with security best practices, provides the appropriate security features in those services, and documents how to use those features.
AWS is a comprehensive cloud services platform that offers compute power, storage, content delivery and other functionality that organizations can use to deploy applications and services. AWS self-service means that you can proactively address your internal plans and react to external demands when you choose.
- Application Hosting - Traditionally, businesses have had to build and maintain infrastructure to run on-premises applications. With the Software-as-a-Service (SaaS) model, businesses can consume applications that are hosted online, enabling them to lower their costs by paying only for what they use, enjoy seamless and painless upgrades in functionality, and integrate easily with their existing data and systems. AWS delivers reliable, scalable and cost-effective computing resources on which to host your applications.
- Websites - With Amazon Web Services, you can get your website up and running quickly using applications like WordPress, Drupal and Joomla!
- Backup and Storage – AWS lets you simplify your current backup and recovery environment in the enterprise. It allows you to leverage the on-demand nature of the cloud and automate your backup and recovery processes so they are not only less complex and lightweight but also easy to manage and maintain.
- Enterprise IT Applications – AWS offers a selection of enterprise productivity applications that run as a service. These applications for corporate email & calendaring, document collaboration and virtual desktops make it easy to meet the usability, performance & reliability expectations of employees, while simultaneously delivering on the security and compliance requirements of the most demanding enterprise IT organizations.
- Content Delivery Network – Amazon CloudFront is a content delivery web service. It integrates with other Amazon Web Services products to give developers and businesses an easy way to distribute content to end users with low latency, high data transfer speeds and no minimum usage commitments.
- Databases – AWS provides fully managed relational and NoSQL database services, as well as fully managed in-memory caching as a service and a fully managed petabyte-scale data-warehouse service. You can also operate your own database in the cloud on Amazon.
To sum up...
Taking advantage of Amazon Web Services will allow you to focus on your core competencies and leverage the resources and experience Amazon provides. However, if you are an IT professional looking for a change to cloud technologies, Management staff from IT service providers or a fresher looking for opportunities in AWS technologies, here’s a programme that can guide your way to success – Manipal ProLoearn’s Cloud Computing with AWS.
Being a part of the course, become aware of the benefits of using various AWS services, understand how to access, start and use AWS services with minimal training and guidance and finally identify the organizational Information Technology requirements that may be supported in a cost-effective and rapid method. Need we say more?
Home > Blogs > Know the concepts of Hadoop Distributed File System & Mapreduce framework
There has been an exceptional expansion in business intelligence and data analytics especially network-based computing over the last few years. In this, client/server-based applications have brought about a revolution of sorts in the field. Sharing storage resources and information on the network is one of the key elements in both local area networks (LANs) and wide area networks (WANs). Different technologies have been developed to bring convenience to sharing resources and files on a network; a distributed file system is one of the processes used on a regular basis.
Before we take a plunge into understanding the concepts that govern Hadoop Distributed File System & Mapreduce framework, let’s comprehend the basics first, the definitions:
i. What is a distributed file system?
In very straightforward words, a distributed file system is a client/server based application that allows one to access and process data stored on the server as if it were on their own computer. When a user accesses a file on the server, the server sends the user a copy of the file, which is cached on the user's computer while the data is being processed and is then returned to the server.
ii. What is HDFS – Hadoop Distributed File System?
Hadoop has its own distributed file system known as the HDFS which is a subproject of the Apache Hadoop project. It has been designed in a way that it can store huge amounts of data reliably and allows one to stream those data sets at high bandwidth to user applications as and when needed.
✓ Scalability: HDFS has been designed in a way that it can scale to massive levels. On a single robust platform, you can store unlimited amounts of data. As and when your data increases in volume, all you have to do is add more servers to scale to the level.
✓ Flexibility: No matter what kind of data you have, you can store it all without any modeling done beforehand. This signifies that you always have full access to data shared with you.
✓ Reliability: Multiples copies of your data are always made available to you through automatic replication. You not only get access to the data, but also assured that through replication, your data is sound and safe even while your system may fail.
Here’s an interesting trivia. Did you know that in April 2008, * Hadoop broke a world record to become the fastest system to sort a terabyte of data? Isn’t that something? Running on a 910-node cluster, Hadoop sorted one terabyte in 209 seconds (just under 3½ minutes), beating the previous year’s winner of 297 seconds.
i. What is MapReduce framework?
As safaribooksonline puts it, MapReduce is a computational paradigm designed to process very large sets of data in a distributed fashion. The model has been based on the concept of breaking the data processing task into two smaller tasks of mapping and reduction.
ii. Why MapReduce framework?
✓ Accessibility: Supports a wide range of languages for developers as well as high-level language through Apache Hive and Apache Pig.
✓ Flexibility: Process any and all data, regardless of type or format — whether structured, semi-structured, or unstructured. Original data remains available even after batch processing for further analytics, all in the same platform.
✓ Reliability: Built-in job and task trackers allow processes to fail and restart without affecting other processes or workloads. Additional scheduling allows you to prioritize processes based on needs such as SLAs.
✓ Scalability: MapReduce is designed to match the massive scale of HDFS and Hadoop, so you can process unlimited amounts of data, fast, all within the same platform where it’s stored.
- Architecture of Hadoop Distributed File System
Represented by inodes, the HDFS namespace is a hierarchy of files and directories represented on the NameNode. The Inodes record attributes like permissions, modification and access times, namespace and disk space quotas.
Image and Journal
Images is the inodes and the list of blocks that define the metadata of the name system. A checkpoint is the persistent record of the image stored in the NameNode's local native filesystem. The NameNode records changes to HDFS in a write-ahead log called the journal in its local native filesystem. Each client-initiated transaction is recorded in the journal, and the journal file is flushed and synced before the acknowledgment is sent to the client.
Each block replica on a DataNode is represented by two files in the local native filesystem - one comprises the data and the 2nd file records the block's metadata. The size of the data file equals the actual length of the block and does not require extra space to round it up to the nominal block size as in traditional filesystems. Thus, if a block is half full it needs only half of the space of the full block on the local drive.
User applications access the filesystem using the HDFS client, a library that exports the HDFS filesystem interface.
The NameNode in HDFS, in addition to its primary role serving client requests, can alternatively execute either of two other roles, either a CheckpointNode or a BackupNode. The CheckpointNode periodically combines the existing checkpoint and journal to create a new checkpoint and an empty journal.
Like a CheckpointNode, the BackupNode is capable of creating periodic checkpoints, but in addition it maintains an in-memory, up-to-date image of the filesystem namespace that is always synchronized with the state of the NameNode.
Upgrades and Filesystem Snapshots
During software upgrades the possibility of corrupting the filesystem due to software bugs or human mistakes increases. The purpose of creating snapshots in HDFS is to minimize potential damage to the data stored in the system during upgrades. Here is a mechanism that allows the administrators to consistently save the current state of the filesystem which allows them to roll back the upgrade made and return to the namespace and storage just in case there is a data loss or corruption.
[Definition Source: aosabook]
Components of MapReduce
The JobTracker maintains a view of all available processing resources in the Hadoop cluster and, as application requests come in, it schedules and deploys them to the TaskTracker nodes for execution. As applications are running, the JobTracker receives status updates from the TaskTracker nodes to track their progress and, if necessary, coordinate the handling of any failures.
TaskTracker receives processing requests from the JobTracker. Its primary responsibility is to track the execution of MapReduce workloads happening locally on its slave node and to send status updates to the JobTracker. TaskTrackers manage the processing resources on each slave node in the form of processing slots — the slots defined for map tasks and reduce tasks, to be exact.
We have given you a bird’s eye view of what HDFS and Mapreduce framework are. While this may come handy if you are trying to brush up your skills, but if you are a software/analytics professional, ETL developer, project manager or a testing professional looking for in depth knowledge to master fundamental concepts of HDFS, Map Reduce and other Hadoop Eco System components, here’s a course that may inveigle you.
- Get hands-on learning using Pig, Hive, HBase and MapReduce.
- Attend one-on-one live online session/webinars with industry and Big Data experts.
- Get access to reading material, videos, case studies and much more.
Home > Blogs > Adwords For Beginners - The Ultimate Guide
If you are an entrepreneur looking to get your business started online or a professional wanting to shift base to digital marketing or marketer/advertiser wanting to improve the performance of the digital marketing campaigns, Google AdWords is your go-to platform. If you are tempted to ignore paid ads and just create great content to capture leads, let us tell you one thing, without paid search traffic, your content will get lost online. A good mix of both organic and paid search works just fine for digital marketing.
Did you know that out of the most vital performance indicators used by marketers, AdWords generates the highest ROI? Here’s a statistic to help you comprehend things better.
Hungry for some more trivia? Did you know that 97% of Google’s total revenues come from advertising and businesses make an average of $2 in revenue for every $1 they spend on AdWords. Worth thinking about the value of Adwords, isn’t it?
Reports - Google Economic Impact Report, Google Investor Relations resp.
So, let’s get started to help you come on-board the massive digital marketing field and master Google adwords.
So, what is Adwords?
In over the last 5 decades, Google Adwords has been hailed as one of the greatest innovations in the advertising world for businesses looking to advertise on Google and its network. It is highly focused on keywords and you pay only when someone clicks your ad, as a result is exceedingly budget centric too.
But, why is the Google ad network known as the baap of online advertising?
Just to give you a perspective, on an average, each second, Google processes over 40,000 search queries that translates to over 3.5 billion searches per day and 1.2 trillion searches per year worldwide. Get the flow?
Interestingly enough, the Google ad network online marketing works for almost all products and services – be it a local pet store, bakery or a software company selling managed services.
Now, that we have given you context as to what Google Adwords is and how important the network is, let’s get you started with how to run a successful Adwords campaign:
Ask these questions before you take the plunge:
a.Who’s my target audience?
Do we need to mention that if you are running a highly targeted ad campaign, you need to know who you are targeting?
“Make sure your ads attract the attention of your audience, raise their interest, convince them to desire your product, lead them toward taking action and provide satisfaction” says Alexa Talpau, director of Online Marketing at Webs9, an Internet marketing company.
b.What am I offering? What are my customers looking for?
You have to solve a problem! That’s why anyone will in the first place search for your product/service!
c.What do I want out of my campaign?
“You should know what specific call to action you are trying to get your target market to perform. Completing a lead form? Making an online purchase? Increased website footfall? Call you? Make sure you've identified your goal and know how you'll measure the results." says Michael Ortner, CEO, Capterra.
d.What is my budget?
Just to give you a heads up, Google Adwords are priced on a per day basis and you after all need your ads to give your business profits, don’t you? Planning a budget is therefore decidedly crucial.
Like you can see, Google Adwords is a vast subject and cannot be enveloped in a single blog article. We’ll tell you how we have made mastering Google Adwords hassle free. Manipal ProLearn has joined forces with Google India and introduced Digital Marketing Professional Programs to help you get hands on experience.
Well, now getting back to where we had left. Once, you have answered the above mentioned questions, here are a few tips and tricks to get you started.
Identify the right keywords
Use a keyword research tool to find…
Optimize ad text
A good ad text will have…
Have an impressive landing page
Run A/B tests for keywords
Remarket your database
Google remarketing allows you to reach people who have already visited your site and connect with an audience that's already interested in your products/services.
You probably also want to find new visitors for your site, and what better way to do this than by finding people who are similar to your existing site visitors.
Manage budgets and bids
To run your ads on Google, you'll need to decide on the right budget and bidding options. Your budget establishes a charging limit for your campaign. Thus, it should be an amount you'd be comfortable spending per day. Your maximum cost-per-click is the most you're willing to pay for a click on your ad. By managing your bids, you may influence the amount of traffic your ads receive, as well as your ROI.
Well, there may be certain terms that you may find difficult to comprehend in the above article. We do not blame you. Like we’ve already mentioned, this is a vast subject but once you master the skills, you can monitor your marketing spend, expand your reach multifold, get ahead in your career by implementing the skills and a lot more. This is the precise reason why Manipal ProLearn in association with Google India is providing practical courses for people on the lookout for Digital Marketing professional programs.