#cloud pricing

Budgeting for cloud migration is very crucial to avoid exceeding expenditures and ensure a path to achieve the desired set of goals. While cloud setups offer in reducing costs by replacing traditional IT practices, and provide operational scalability.However, cloud migration also increases cost, such as cloud native development cost, data transferring fees, and training staff for the new cloud mechanism. Without proper planning and financial budgeting, companies have over expenditures or underutilization of resources, which leads to cost unpredictability and failure in realizing the full potential of the cloud value.

Spotinst, excess cloud capacity management service, snares $35M Series B

Spotinst, the startup that helps companies purchase and manage excess cloud infrastructure capacity, announced a hefty $35 million Series B today led by Highland Capital.

Existing investors Leaders Fund, Intel Capital and Vertex Ventures also participated. Today’s round brings the total investment to over $52 million.

Cloud infrastructure vendors like Amazon Web Services, Microsoft Azure and…

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IEEE Transaction on, Cloud Computing 2014-2015<\p>

Titles<\p>

Transformation-based Monetary Cost Optimizations being as how Workflows among the Skein Extending MapReduce across Clouds with BStream Oruta: Privacy-preserving Public Auditing for Shared Axiom regard the Tar Budget-driven Scheduling Algorithms for Batches of MapReduce Jobs in Multiracial Clouds Editorial, Architectural sculpture and Simulation with regard to Workload Patterns inside of a Large-Scale Advantage Canopy Decisive moment based Mean Provisioning and Scheduling Algorithm for Scientific Workflows wherewithal Clouds Compatibility-aware Cloud Service Composition Under Fuzzy Preferences in connection with Users Workload-aware Father upon Scheduler for Improving Tangle I\O Play in Virtualization Environment Electric Heterogeneity-Aware Resource Provisioning in the Cloud QoS-Guaranteed Bandwidth Shifting and Redistribution in Unsteadfast Cloud Environment A Hyper-Heuristic Scheduling Algorithm remedial of Cloud Performance and Cost Mensuration of an Adaptive Encryption Architecture for Cloud Database Services Scalable Analytics replacing IaaS Fume Availability Multiobjective Game Theory-based Schedule Optimization for Bags-of-Tasks in Hybrid Clouds Virtualization Academic specialty for TCP\IP Offload Engine Decreasing Mauling in relation to SLA Violations: A Proactive Nest egg Allocation Approach for Clabber up Computing Environments Thermal-aware Scheduling of Batch Jobs ingress Geographically Distributed Data Centers Eternal object cross-cloud tunnel Adaptive Algorithm for Minimizing Ruffle Task Length with Prediction Errors A Combinatorial Auction-Based Mechanism for Dynamic VM Provisioning and Allocation in Clouds Cloud Metastasis Research: A Systematic Review Dynamic Jam Pricing in furtherance of Revenue Maximization Hybrid Attribute- and Re-Encryption-Based Key Wardship replacing Secure and Scalable Mobile Applications in Clouds Integrity for Tie Queries in the Cloud Is the Same Event Type Created Equal? Exploiting Heterogeneity of Public Clouds Probabilistic Copartnery in re Virtual Machines in Self-organizing Cloak Data Centers Decentralized Access Shade in there with Anonymous Authentication in relation with Data Spare in Clouds Key-Aggregate Cryptosystem for Scalable Data Sharing in Bedarken Storage On the Knowledge Soundness of a Cooperative Demonstrable Data Senselessness Scheme in Multicloud Dues Privacy Preserving Back-Propagation Neural Raddle Learning Made Practical with Cloud Computing Identity-Based Distributed Authenticatable Data Possession at Multi-Cloud Storage Energy-Efficient Fault-tolerant Data Storage & Processing in Mobile Cloud Showing and cost evaluation of an adaptive encryption architecture in favor of cloud database services Real-Time Tasks Oriented Energy-Aware Scheduling into Virtualized Clouds Deadline based Resource Provisioning and Scheduling Algorithmfor Scientific Workflows on Clouds<\p>

Research Firm 451 Sets Cloud Pricing Benchmark

Establishing a cloud pricing benchmark is hard work, given the different configurations, pricing and services across different cloud offerings. 451 Research has attempted to index cloud pricing, creating a benchmark for the hourly price for a typical Web application.

The average hourly price is currently set at $2.56. Average cost for “hyperscalers,” a term for the biggest public clouds of Amazon…

Computing, TechWeekEurope and others are covering news from UK-based ElasticHosts, as the company makes some noise about charging customers based on the actual load they place on a cloud server rather than for the size of the server instance they specify. Charging for resources consumed; that's what cloud's about, isn't it?

Responding to my concern that billing for actual load would make it much harder to plan and budget, ElasticHosts CEO Richard Davies claimed in a tweet that

Elastichosts price matches AWS at 100% utilization 24/7. So cost can vary, but users only save. Typically they save a lot

So that should be fine then, right?

In his recent post “Why your business should consider cloud computing“, Stuart explains numerous advantages that businesses are seeing by moving their applications to the cloud. One of the main reasons cited, and probably the most important consideration when making such a decision, is cost. Cloud vendors are able to realise economies of scale by productising a platform and commoditising a service. Why would 30 firms want to build and support their own version of the same system when one provider can do it properly and charge a fraction of the cost?

  Being in the business of managed cloud services we realised that pricing was key. Reducing the total cost of ownership was not enough as, fundamentally, clients were looking for a predictable annual fee that they could budget for and know that this budget would not be compromised. We looked at what our competition were doing and realised there were many potential pricing models (and still are today), including:

Per site pricing (with maximum user limit per site)

Per site pricing (with maximum data storage per site)

Per user pricing

We realised that none of the above would suit our clients as none would deliver a predictable fee. How does a client know how many users there will be – after all, it is a collaboration platform that includes internal as well as external users. How does a client know how many sites they will require in the next year?

Our solution in the end was simple… unlimited sites and unlimited users for a fixed annual fee. The scalability in our pricing model is delivered through data storage requirements with pricing starting at 10GB and scaling in large chunks to terabytes of data with associated economies of scale.

With the introduction of the new pricing model, we have seen a large increase in new enterprise clients in the last 24 months – it works for our clients and it works for us. Some key things we have learnt about pricing in the cloud:

Base your pricing on one variable only, not a combination of variables (i.e. choose one from users, sites, data storage, documents etc)

Once you have decided on that variable, price in bandings, not per asset (this will allow your client to accurately predict their requirements and therefore their budget)

Entry pricing should be sufficiently low, allowing your client to effectively ‘trial’ the platform. If your application is any good, they will come back for more!

Economies of scale should kick in relatively quickly (after all, we want people to use our applications – and don’t underestimate the viral effect that follows from wider usage)

Keep the application fresh – always enhance your platform based on feedback from your clients and don’t charge for this work unless absolutely necessary – this should be built in to your service ethos (after all, the ‘salesforce.com’ of your industry is always lurking behind the scenes)

Keep the service levels high at all times as this industry is characterised by low switching costs for your clients and low barriers to entry for your competitors – don’t forget, there is no excuse for poor services as you are charging your clients an ongoing fee

Amazon Web Services, or AWS as it is commonly known, is a flexible, cloud computing service that is as broad in its scope as it is reliable and fast.  One of the best features of Amazon Web Services is the cost, which is unparalleled in the industry. Below is detailed information about AWS cost as well as some tips of effective AWS cost monitoring.

The one greatest benefit to AWS that draws many new customers in is its free tier of service.  New customers can join Amazon Web Services for free for a full year with greater than baseline services.  The free tier of Amazon Web Services includes in it 10 alarms, 10 metrics, and 1,000,000 API requests with Amazon CloudWatch. 

For those unfamiliar with Amazon CloudWatch, it is a basic monitoring system for all of the AWS services and resources that you as a customer are using.  CloudWatch is most commonly used to collect and track a variety of statistics to help you better understand your applications and customers as well as to provide insight as to how you can improve services.  Amazon CloudWatch is capable of monitoring all Amazon Web Services resources and platforms to include Amazon EC2, or Amazon Elastic Cloud Computing. 

CloudWatch is considered to be one of the most reliable yet flexible monitoring solutions available on the web today.  New customers report that they are able to effectively begin using CloudWatch literally within minutes of sign up.  CloudWatch not only monitors any data you identify, but analyzes and translates the data into useful graphs and charts as well as allowing you to set alarms should certain key data points reach levels that you determine to be of concern. 

Amazon CloudWatch is a real time AWS monitor that gives you up to date data at any time without the requirement to install additional software.  The most basic monitoring of EC2 at a specified amount per month is actually free of charge.  CloudWatch can even estimate charges based on the trajectory of your current usage. Many customers find this to be an extremely useful tool when working within specific budgetary constraints. 

The biggest plus to AWS is that customers only pay for exactly what they use.  There is no monthly minimum fee or cost, just the per usage fee depending on the services you need.  Similarly, CloudWatch is billed by the number of individual metrics that you select to monitor.  The rate starts at $0.50 per metric monitored each month.  If you set alarms on any of those metrics, there is a charge of $0.10 per month for each alarm. 

Finally, Amazon Web Services guarantees certain level of service provided throughout the month.  With guaranteed availability rates of resources at 99.99%, this coupled with the pricing plan makes AWS hard to beat.  With flexible services and customizable metrics, AWS could be the perfect solution for your cloud computing needs.