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iT1 Services allow their customers to enjoy computing resources on a pay as you go model. They can access data, applications and services from any location.
In the simplest terms, cloud computing is storing and accessing data and programs over the Internet instead of computer’s hard drive. The cloud is just a metaphor for the Internet. It goes back to the days of flowcharts and presentations that would represent the gigantic server-farm infrastructure of the Internet as nothing but a puffy, white cumulus cloud, accepting connections and doling out information as it floats.
On demand infrastructure
The on-demand model was developed to overcome the common challenge to an enterprise of being able to meet fluctuating demands efficiently. Because an enterprise’s demand on computing resources can vary drastically from one time to another, maintaining sufficient resources to meet peak requirements can be costly. Conversely, if an enterprise tried to cut costs by only maintaining minimal computing resources, it is likely there will not be sufficient resources to meet peak requirements.
Automation and agility
Cloud automation supports business agility, with improved agility being a consistent driver for businesses making a move to the cloud in the first place. While cost reductions of a reduced physical server footprint may often be the primary reason, business agility is a close second. Although the benefits of moving applications and workloads to the cloud are numerous, the ability to fully take advantage of such opportunities in the least amount of time is a major challenge. In the field of business advancement, following factors are worked upon based on automation and agility:
- Business Impact
- Cloud Testing
- Workload Optimization
- Cloud automation
Star ship appears to be delivering on the vision of the self-managing datacentre. Imagine telemetry data being collected across thousands of servers and analysed in real time. This, in turn, allows for the most efficient use of resources to deliver services to users across an organization. In other words, machines learning from machines, which then use this intelligence to deliver the best performing services at the lowest cost. Or in other cases, machines learning from machines to predict failures days in advance, in order to avoid disruptions in service.
- Model, securely deploy, and manage your applications across your clouds.
- Monitor and manage your critical cloud-based applications
- Ensure application performance pre and post-cloud migration
- Take full advantage of cloud bursting
- Need to monitor your app in the cloud?
- To have confidence in the performance of your cloud app, you need more than infrastructure health metrics. Understand the performance of your cloud app all the way to the down to business transaction and code level.
- By visualizing your application dependencies, you gain deep insight into the communication and architecture challenges you’ll have to consider when planning your cloud migration.
- Connect app performance and customer experience to business outcomes
- Accelerate time to market
- Free IT resources to do more innovative, customer-focused work
- Improve and automate business processes via the sharing of data across applications.
- Extend investments in legacy systems and applications
- Reduce cost
Companies are increasingly moving to and expanding their public cloud environments, and the efforts need to be a shared experience between enterprise cloud customers and their cloud service providers. This means data sharing to optimize cloud resources for performance and service delivery across environments. We believe that this is making a game-changing move to address this critical industry requirement, with powerful options for versatile data access, reporting and accountability. It should be a wake-up call for the many, more commoditized cloud service providers who still seem to believe that ‘cloud’ is a synonym for obscuring light based on their convenience versus the very real needs of their customers.