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Testimonials

Testimonials

We are one of the leading Cloud and Software as Service Consultancy companies.

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SaaS

Cloud Computing

Cloud Computing is constantly evolving.  It began life as “Grid Computing” – a technology able to solve large problems with parallel computing and resources from multiple administrative domains. Subsequently, grid computing matured to offer computing resources as a metered service, known as “utility computing”.  Eventually, the aforementioned model again evolved via network-based subscriptions and applications into what is now known as Cloud Computing.

NIST defines Cloud computing as a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models.

Essential Characteristics:

On-demand self-service — A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider.

Broad network access — Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling — The provider’s computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines.

Rapid elasticity — Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time.

Measured Service — Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both the provider and consumer of the utilized service.

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WordPress

WordPress Cloud Website Software

WordPress is popular blogging software used by over 60 million people and powers over 20% of the worlds websites.

If you have a WordPress website it is essential to ensure that your server load is manageable and that load times are fit for purpose. You also want your data to be protected in case your server fails and in that case you will need viable WordPress Support. With that in mind, we at OblakSoft created the Cloud Storage Engine for MySQL (ClouSE). It stores all your WordPress data on Google Cloud Storage, taking the load off your server to improve reliability and speed, and to reduce hosting costs.

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Business Intelligence

What is Cloud Business Intelligence

The Cloud is increasingly being used to host  a variety of business critical applications.

What is Cloud BI?

Cloud-based BI solutions provide access to dashboards, KPIs, and other BI related information on any Internet-enabled device.

Cloud BI (BI Software) is an application that is hosted on a network (typically the Internet) and is used to provide organizations with BI-related information like dashboards, KPIs, and keybusiness metrics. One of the main advantages of a cloud BI solution is that it requires no additional software or hardware upgrades to deploy – users simply have to go to a specified URL and enter login credentials to access BI information.

A recent Business Intelligence Software Comparison highlighted the hold that the major vendors have on this market.

Companies that have deployed business intelligence have first-hand knowledge of the complexities of such a system – the vast network of linked parts and pieces, from data warehouses to ETL applications, OLAP servers to analytical dashboards.  A more repeatable and sustainable model for business intelligence must emerge and Cloud BI has the potential to sustain this.

However the main drawback can be the sheer data quantity that would need to be moved, stored, and processed. There’s a reason we’re all talking about big data these days – according to Francis Prior, research director at Gartner, data capacity in enterprises is growing at 40% to 60% year over year and this requires a significant overhead of performance test tools. We’re not just looking at the past 12 months of data – we want 3+ years for longer-tail analysis, so we’ve got to store that backlog. It’s not unusual for a large organization to have information equaling tens of billions of rows, which doesn’t even account for all of the unstructured data brought in from technical support systems, CRM. Tools such as Power BI can help business intepret and understand the data they have.

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Uncategorized

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