AWS had 1000+ services and AWS only bills for services you consume. Every AWS Region has slight differences in pricing.
With AWS, you can get volume-based discounts and realize important savings as your usage increases. For services such as S3 and data transfer OUT from EC2, pricing is tiered, meaning the more you use, the less you pay per GB. For Amazon S3, you can use this calculator to estimate your monthly bill.
For certain services like Amazon EC2 and Amazon RDS, you can invest in reserved capacity. With Reserved Instances, you can save up to 75% over equivalent on-demand capacity. Reserved Instances are available in 3 options – All up-front (AURI), partial up-front (PURI) or no upfront payments (NURI).
When you buy Reserved Instances, the larger the upfront payment, the greater the discount. To maximize your savings, you can pay all up-front and receive the largest discount. Partial up-front RI's offer lower discounts but give you the option to spend less up front. Lastly, you can choose to spend nothing up front and receive a smaller discount but allowing you to free up capital to spend in other projects.
By using reserved capacity, your organization can minimize risks, more predictably manage budgets, and comply with policies that require longer-term commitments.
Recently AWS has announced Per-Second Billing for EC2 and EBS. Linux instances that are launched in On-Demand, Reserved, and Spot form will be billed in one-second increments. Similarly, provisioned storage for EBS volumes will be billed in one-second increments.
Per-second billing also applies to several other AWS services like Amazon EMR, AWS Batch, Elastic GPU’s and Provisioned IOPS.
For more such updates, stay tuned to RightCloud Blog.
Probably not. As Hadoop is an open source software project that can be used to efficiently process large datasets. Instead of using one large computer to process and store the data, Hadoop allows clustering commodity hardware together to analyse massive data sets in parallel. There are many applications and execution engines in the Hadoop ecosystem, providing a variety of tools to match the needs of your analytics workloads. Whereas AWS is a cloud computing service offered by Amazon. AWS allows users to set up HADOOP environment in their rented infrastructure to perform the required activities.
It’s like renting a commercial space and then using it for office or shop or warehouse or anything commercial you want. But in case of storage, AWS is far more ahead of Hadoop. Following are the points which help S3 in succeeding over HDFS:
Cost: - So in terms of storage cost alone, S3 is 5X cheaper than HDFS. Based on our experience managing petabytes of data, S3’s human cost is virtually zero, whereas it usually takes a team of Hadoop engineers or vendor support to maintain HDFS. Once we factor in human cost, S3 is 10X cheaper than HDFS clusters on EC2 with comparable capacity.
Elasticity: - S3 is elastic, HDFS is not. SLA (Availability and Durability): - With cross-AZ replication that automatically replicates across different data centres, S3’s availability and durability is far superior to HDFS’.
To summarize, S3 and cloud storage provide elasticity, with an order of magnitude better availability and durability and 2X better performance, at 10X lower cost than traditional HDFS data storage clusters. Hadoop and HDFS commoditized big data storage by making it cheap to store and distribute a large amount of data. However, in a cloud native architecture, the benefit of HDFS is minimal and not worth the operational complexity. That is why many organizations do not operate HDFS in the cloud, but instead use S3 as the storage backend.
For more such updates, stay tuned to RightCloud Blog.
As the cloud market is growing immensely, let’s have a look at the top 10 cloud providers for this year. This list has cloud providers that have set aggressive goals for 2018.
1. Amazon Web Services (AWS): This one is obvious. All eyes in the cloud market have been on Seattle-based AWS for the past decade, but the cloud computing heavyweight has made tremendous headway into the enterprise space in recent years.
2. Microsoft Azure: Microsoft Azure is a cloud computing service created by Microsoft for building, testing, deploying, and managing applications and services through a global network of Microsoft-managed data centres. It provides software as a service (SaaS), platform as a service and infrastructure as a service.
3. Alibaba: Alibaba, these days commonly called as the China's Amazon Web Services equivalent. It may have more of a presence outside the U.S, but the cloud computing giant is worth keeping on solution providers' radar. China's largest public cloud provider said in October that it will invest $15 billion into global tech research facilities across China, Russia, Singapore, Israel and the U.S., which could challenge U.S.-based tech companies that have led in terms of technology research investments in the past, including rival AWS.
4. Google Cloud: Google is also stepping up its focus on the business customer segment. In December, Google added more managed services providers to its partner program, boosting the number of MSP partners that can offer cloud support services to enterprise customers for the Google Cloud platform to 12.
5. Cloudify: Cloudify was an open-source software cloud and NFV orchestration tool originally created by GigaSpaces Technologies until it spun off into its own company in July. Today, the provider is touting its Cloudify 4.2 offering, which allows service providers and business user’s transition to virtualized and cloud-native infrastructure without compromising security and regulatory demands. Its products offer support for container technology through the Kubernetes, Docker Swarm and Mesos orchestration platforms.
6. Evolve IP: Channel-focused cloud service provider Evolve IP is focusing on growing organically and inorganically as it expands its business and services for end customers. Evolve IP in 2017 completed four acquisitions, which included cloud, contact centre and security technology.
7. Green Cloud Technologies: Green Cloud Technologies, based in Greenville, S.C., got in on the consolidation trend when it acquired channel-focused cloud service provider Cirrity in February. The cloud provider, which works exclusively through the channel, plans on continuing to make its mark in the crowded cloud industry in 2018.
8. OnRamp: Hybrid cloud hosting provider OnRamp has been giving solution providers and business customer’s access to highly compliant colocation and private cloud services that can hold up against even the most stringent security concerns.
9. Peak 10 +Viawest: Peak 10 + ViaWest, offers co-location, interconnection, cloud, managed solutions and professional services to more than 4,200 businesses
10. TierPoint: Cloud service provider TierPoint has been on a channel tear in recent years. The St. Louis-based cloud service provider has always been partner-focused and worked to aggressively increase its footprint during 2017. With a footprint of 40 data centres across 20 U.S. markets, TierPoint is set to plow ahead as one of the largest channel-friendly cloud providers in the country heading into next year.
These are the top ten cloud providers. Stayed tuned to RightCloud blog for more such updates.
With the constant growth of cloud market, the demand for cloud engineers are growing. Also, as the market itself is growing, the position of a cloud engineer is still evolving. There are new demands and solutions. Cloud engineers need to continuously develop their skills to keep up with the evolving demand.
With that in mind, here’s what the world is expecting from cloud engineers in 2018:
Understand the Business
With large number of companies moving to cloud, it’s time for cloud engineers to understand the language of cloud. They need to intake the need of the business from technology. Unlike past, these days, cloud engineers are more involved in business meetings. This shows that a sense of responsibility towards the overall business is added and the world expects the reciprocation. If one knows only technology, their job prospects may be limited. On the other hand, if they try to understand where the organization is going and how cloud can help, they will be able to plan wiser. Aside from better understanding your own organization, cloud architects must also evolve their project management skills. Because there are so many technologies involved, it’s important to understand where each piece fits and how the entire cloud deployment process can be properly controlled.
Good Grasp of Theories
Cloud engineers need to know and be aware of breadth of different technologies and platforms. While there will be specialists in different areas, but one needs to be aware of the current technological theories. This includes storage, networking, compute, user management, open-source solutions, security, virtualization, optimization options, application/services delivery, and much more. Cloud computing is not one product. Rather, it is a combination of key technologies which all work together to bring data and resources down to the end user. Cloud engineers should always retain the knowledge of how their world, interconnects with the rest of the cloud.
Knowledge about operations
As cloud has become an integral part of many organisations, it is expected from cloud engineers to know how to create true infrastructure resiliency. This means creating an architecture where data can be replicated, and good DR strategies can be planned for critical workloads. Even today we see regular cloud outages. Well, what if you were hosting your entire data centre from an Amazon cloud? What if that cloud went down? Did you create an availability zone? How is replication handled? Creating a resilient cloud infrastructure is a key knowledge component that many cloud-ready organizations require. Downtime results in lost dollars. So, knowing operations and how the cloud environment behaves will be critical to designing a solid DR plan.
Think Outside the Box
Cloud has created many new industries and sub-industries. We have new service models which strive to create the data centre of everything. There are more scope for big data and cloud computing. All of this is the result of an ever-expanding cloud environment. When working with cloud computing – it’s the need of time to be creative in solving problems. It’s not always about throwing resources at the challenge. Virtualization, high-density computing, and various other technologies can dynamically optimize your cloud environment. The key is having knowledge around these solutions and understanding where they fit in.
The cloud market will continue to grow and create new types of positions. To survive and grow big in this evolving market, cloud engineers must continue to develop their skills and knowledge and stay updated with all recent developments.
For more cloud updates, stay tuned to RightCloud Blog!
AWS still leads the Cloud Market and there are ample reasons that this tech giant owns. Everything about AWS is bigger than big. Its flagship conference reflected the level of command it holds in the market. From bragging about its $18 billion revenue run rate and its 42% annual growth rate, to trumpeting that it’s larger than the next bazillion cloud providers combined, to the hundreds of product announcements and thousands of hires it makes every year, everything about the company is huge. There were 40,000+ attendees at Re:Invent in Las Vegas and this reflects the heights of the company.
After all this, AWS is just one division of parent Amazon. The impressive annual growth rate that the company is following might be difficult to achieve in the upcoming years but the way it is going about introducing new products and features, looks like, they are here to stay.
AWS follows a customer obsessed philosophy. They crave for innovation and continuously innovate to give better to customers every single time. “90% of what we build is what customers ask for and the remaining 10% is focused on strategic interpretations of customer needs.” – says Jassy.
Alibaba, Microsoft, IBM, Google and Oracle are high on revenue, but they are no where closer in terms of market share as compared to AWS. Even as these companies continue gaining revenue, the market itself is growing at an astounding rate right now.
According to data from Synergy Research (keeping in mind it’s a rapidly changing market), AWS has an enormous market share lead, one that John Dinsdale, chief analyst at Synergy Research, says is so big now, it’s going to be very difficult for anyone, even Microsoft to catch them.
“Just from a pure math perspective, AWS is so far ahead of the rest that no-one can seriously challenge its leadership in the short term,” Dinsdale told TechCrunch. However, despite of this progress, AWS isn’t just sitting still resting on its considerable market share lead. It is continuously innovating at a rapid rate.
Dinsdale says, “AWS continues to make huge investments in infrastructure, continues to expand its range of services, continues to execute well, is growing its business with enterprises, and has the full long-term backing of Amazon for whom AWS is very important. The combination of math and business logic says that AWS cannot be matched from a scale and market share perspective any time soon,”
But the other cloud providers too have ample scope and the competition is increasing every day. IDC predicted a public cloud market value of $95 billion for last year. They expect that market to more than double in just three years, to $195 billion by 2020. If these predictions are hold true, all the cloud providers have huge potential to grow along with AWS.
Here’s how AWS is leading in the Cloud Space. Stay tuned for more updates.
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2017 took all of us to surprise in terms of revenue growth. The top ranking is not captured by the major Cloud giants – Amazon, Microsoft or Google. Instead, China’s Alibaba topped the revenue chart increasing cloud revenue twice as last year.
Alibaba’s cloud sales soared 126.5% to $675 million last year from $298 million in 2015, according to market research firm Gartner. Alibaba (BABA, -0.59%) is a dominant force in China, but it also is ramping up its Aliyun cloud effort in North America and other markets as well.
Following Alibaba in the rankings was Google, which doubled cloud revenue worldwide year-over-year to $500 million from $250 million. Microsoft Azure had 61.1% growth and Amazon Web Services revenue grew 45.9%.
AWS pioneered this category and is growing off a much bigger base than the other cloud contenders. According to Gartner’s, the growth of AWS is expected to slow because of growing competition from Azure, Google and Alibaba.
2. Cloud Adoption
Gartner predicts that more than 50 per cent of outsourcing deals will be influenced by cloud adoption strategies. Meanwhile, Forrester predicts that global public cloud market will rise to $236 billion in 2020. There are various benefits of cloud adoption like improved efficiency, competitive edge, reduced costs, flexibility and scalability etc. Hybrid cloud solution is gaining ground among businesses.
3. Artificial Intelligence
The demand of artificial intelligence is depicted from the gap the world is seeing in terms of demand and supply of developers. Most companies are facing lack of right expertise. The growing demand for AI is due to various reasons. AI can be applied anywhere where you can collect data, measure, and make predictions. Identify those opportunities and tie them to a specific customer or business needs and start ensuring the quality of the data is good and apply basic methods to start with as a proof of concept.
4. Serverless computing
AWS was the first to bring a serverless computing platform and since then the other major IaaS public cloud providers have been following the same. Many AWS services are “serverless” including Lambda, S3, as well as its NoSQL DynamoDB database, and SQL-supported Aurora database platform. Each of these products requires no pre-planning of resource usage or ongoing management of infrastructure.
Containers are gaining popularity day by day. While Containers are there for a while, Docker recently brought them to spotlight with enterprise use. More and more enterprises are seeing the benefits of adopting hybrid and multi-cloud models, but the challenge was to ensure that software runs smoothly. Containers came as a rescue here. Amazon Web Services (AWS), Azure and Google offer container services.
6. Union of Private cloud and hyperconverged infrastructure
Not all the action is in the public cloud. Tectonic shifts are occurring even within the realm of on-premises infrastructure. This year, we saw an aggressive shift from traditional private cloud to leaner and cheaper solutions that include and integrate PaaS capabilities, cloud management, and container support.
7. Hybrid cloud – The Public cloud on-ramp
As enterprises build out next-generation infrastructure for their private clouds, they want a way to enable workloads running on that infrastructure to eventually run in the public cloud, thus creating a hybrid cloud. Hybrid cloud computing has been a staple of Microsoft’s cloud strategy since it launched Azure. AWS has mostly ignored the idea of private and hybrid cloud computing, but it released a series of products and services to on-ramp data on to its cloud at Re: Invent 2016. Snowball Edge device that can do local computing and then send data to AWS is an example. Snowmobile is another example -- it’s a 45' container that can literally truck 10 Petabytes of data at a time into AWS.
These are 7 takeaways from this year in the Cloud Space. Stayed tuned for more updates!
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When it comes to cloud, we all know that there are three giants – Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft’s Azure. The competition is neck to neck as vendors drop prices at regular intervals and of course there are the new features that they keep introducing. Here, we bring to you a comparison between AWS, Google and Azure. This comparison can be drawn based on different factors; few mentioned below to keep it precise.
AWS’s EC2 (Elastic Compute Cloud) provides Amazon’s core compute service that allows users to configure virtual machines using either pre-configured or custom machine images that are also called AMIs. One can select the size, power, memory capacity, and number of VMs and choose from different regions and availability zones within which to launch.
Google Compute Engine lets users launch virtual machines into regions and availability groups. However, GCE didn’t become available for everyone until 2013. Since then Google has added few improvements like load balancing, extended support for Operating Systems, live migration of VMs, faster persistent disks, and instances with more cores.
Microsoft introduced their compute service as a preview and made it available in May 2013. Azure allows users to choose a VHD (Virtual Hard Disk), like Amazon’s AMI, to create a VM.
AWS provides temporary storage, allocated when an instance is started and destroyed when the instance is terminated. AWS provides Block Storage same as hard disks. AWS also offers object storage with their S3 Service, and archiving services with Glacier. AWS supports relational and NoSQL databases and Big Data.
Google’s Cloud Platform provides both temporary storage and persistent disks. For Object storage, Google has a Cloud Storage. It supports relational DBs through Google Cloud SQL. Google offers archiving as cheap as Glacier, but with virtually no latency on recovery.
Azure uses temporary storage (D drive) and Page Blobs (Microsoft’s Block Storage option) for VM-based volumes. Block Blobs and Files serve for Object Storage. Azure supports both relational and NoSQL databases, and Big Data, through Windows Azure Table and HDInsight.
Amazon’s Virtual Private Clouds and Azure’s Virtual Network allow users to group VMs into isolated networks in the cloud. Users can define a network topology, create subnets, route tables, private IP address ranges and network gateways by using VPCs and VNETs. Both AWS and Azure have similar solutions to extend premise data centre into the public cloud. Google Compute Engine instance belongs to a single network that defines the address range and gateway address for all instances connected to it. Firewall rules can be applied to an instance, and it can receive a public IP address.
AWS charges customers by rounding up the number of hours used, so the minimum use is one hour. AWS instances can be purchased using any one of three models:
Google charges for instances by rounding up the number of minutes used, with a minimum of 10 minutes. Google recently announced new pricing model with more flexible approach. Azure charges customers by rounding up the number of minutes used for on demand. Azure also offers short-term commitments with discounts.
This is a brief comparison between the three cloud giants. To know more about cloud services and providers, stay tuned to www.rightcloud.asia/blog
Source: Cloud Academy & Internet
Chatbots in simplest terms are computer programs developed using artificial intelligence that reduces manual effort by giving automated responses to queries. They make collection of information for commonly asked questions easy and effortless. It is extensively used in the customer service business across industries. When you chat in a website, the initial conversation is mostly carried by a bot; well mostly. Till, the conversation becomes more personalized and human intervention is required. Chatbots has improved the efficiency of services in industries where automated assistance or customer service is important.
While chatbots are existing for a while now, with Facebook’s launch last year, the whole world is going crazy with these. IBM and Microsoft have also released exclusive platforms to build chatbots.
Chatbots functions with artificial intelligence. They respond dynamically according to user queries avoiding repetitive information that might be a case with live chat. It’s an intelligent application that take care of user’s preferences and respond accordingly.
How do they work
What are the benefits
Who are the celebs (source from VentureBeat)?
Chatbots across Industries
Chatbots are extensively used in the retail industry where virtual assistants give product suggestions, delivery tracking, offer launces etc to customers.
Thus, chatbots have reached to a new level across different industries. Want some help in building or customizing one for your business? Connect with our team today.
Are you constantly worried about cloud security? Have you been getting emails from clients on securing cloud environment? Here are 5 simple steps towards securing your cloud environment.
1. Peripheral Security – Define your security policies and identify access management
2. Network Security – Define security policies for VPC, VPN & ACL
3. Host Threats – To ensure protection from virus infections
4. Host Access Control – To ensure tracking for all login related activities
5. Application Security – Deploy web application firewall to avoid any form of attacks against applications