Today, Platform-as-a-Service (PaaS) is increasingly gaining popularity as a Public Cloud offering compared to Infrastructure-as-a-Service (IaaS) because of its simple operations and lower costs. These days, most PaaS customers get locked-in because of the specialized OS or middleware features but for the customers looking for flexibility in working across multiple Cloud platforms and providers, a portable PaaS environment is a feasible choice.
Before we see how organizations can implement a portable PaaS model, let’s first see the primary reasons behind the adoption of PaaS services:
Lesser costs of licensing and supporting because of the pre-installed OS and middleware.
Streamlined Hybrid Cloud deployment with standardized application services.
Improved application performance and functionality by creating a PaaS environment within the IaaS Cloud using the available web services.
How a portable PaaS model fairs across these three areas and how it moves within the various cloud and private environments is important but a single PaaS approach might not be enough to address this. Thus, enterprises need to prioritize their PaaS goals and combine different options to create the desired PaaS environment.
Here are the top 4 ways to achieve a Portable PaaS model:
Adopt Container Technology for Application Hosting: The container architectures share the Operating System, but the middleware and file system elements can be copied to each container to standardize the middleware across container images. This allows the creation of specialized container images for the application and the component which can then be moved across environments to be run on any container system hosted in Cloud or the Data Center. Read more →
Since its inception, Azure Backup has played a vital role in helping enterprises back-up their data on-premises or in the Cloud. Recently, besides Backup-as-a-Service, Microsoft introduced Restore-as-a-Service for instant restore of enterprise data.
Using this service, enterprises can recover their data from previously created restore points without paying additional costs. With Instant Restore, you can not only create a writable snapshot of the recovery point but once you do this, you can create one or more ISCSI based recovery volumes. These can be browsed to recover items by simple copy-paste method from recovery volumes to your favorite destinations.
Benefits of using Azure Backup for Instant File Recovery:
Single restore process – an enterprise may use Azure Backup Agent to back its on-premises data or may use Azure VM Backup to protect Azure VMs. They can instantly restore their data using Restore-as-a-Service model. It acts as a one-stop mechanism to immediately recover an enterprise’s files and folders.
2. Instant recovery – the option to instantly recover files from Cloud backup of Azure VMs or on-premises file servers, is one of the main advantages of Azure Backup. Whether an enterprise has accidently deleted a file/folder or is simply validating a backup, instant restore helps in reducing the downtime drastically while recovering the files.
Review before restore – users can run and check files with the help of applications such as Oracle and SQL directly from the Cloud recovery point snapshots, without having to first restore them. In this way, they can review the final list of files before restoring them.
Flexibility in recovery – Since Azure Backup provides the entire snapshot of the recovery point and relies on a copy of items for recovery; enterprise users can restore many files from multiple folders to a local server or even to a network share of their choice.
According to a recent update from Microsoft, customers using Azure Backup Agent and Azure VM Backup (Windows VMs) can avail Azure Backup Instant Recovery of files for preview. Click here to check how to instantly recover the files from Cloud recovery points using Azure Backup Agent.
Contact Sysfore’s Cloud Disaster Recovery & Backup experts for your no obligation / no cost in-depth analysis to see just how simple and cost effective it is to implement a robust cloud Backup / Disaster Recovery plan for your Enterprise. Write to us at info@sysfore.com or call us on +91-80-4110-5555 to know more.
Take the guesswork out of fashion. Big Datais your latest and hottest trends that’s taking the world of fashion by storm. In an industry where every color, cut, design and trend is micro analyzed and just as easily thrown out of the window with the next launch; you need to keep one step ahead of the competition. This is where Big Data puts its best foot forward (pun intended!)
Fashion as an industry is often regarded as frivolous or unnecessary, despite its global and money making capacity. But behind the scene is a very big business that can push the economy. The last projected revenues is around $3.75 trillion in 2016.
Big data solutions are increasingly become a part of the designers strategy. In an industry based on creativity, intuition and expression, applying cold data seems farfetched. But it is precisely this that helps the designers and retailers to accurately predict the latest fashion trends.
Big Data is all about turning extremely large quantities of data into useful information. When companies aggregate data and analyze them effectively, patterns emerge, ideas are born, and fashion companies become trend setters.
Aggregating global fashion trend and sales information from a wide variety of sources –including retail sites, social media, designer runway reports, and blogs–Competitive Intelligence (CI) is synthesized from the data, accessible in real time and can be customized to spotlight information relating to the unique priorities or focus of the company.
You can aptly use the term “Trend forecasting” that Wall Street Journal contributor Kathy Gordon used to describe information analysis using Big Data. Leading in this field is the Editd, an apparel data warehouse aimed at helping the world’s apparel retailers, brands, and suppliers deliver the right products at the right price and the right time.
Solutions for a distinct fashion problem
Agile retail companies are using Big Data analytics to identify consumer trends, utilize highly efficient production and distribution systems, and only sell online. The result is products that people want, at prices they can afford, without having to go to a mall.
So why should the fashion houses and e-retailers care about the immense valuable data available through data analytics? A look below will answer your question:
Curbing waste
One constant issue faced by the designers is guessing the right volume of items to be sold. An incorrect value will result in excess items being produced, which will have to be sold at discounted rates to make up for the loss. Using Big Data analytics, you can determine the demand and supply ratio accordingly, and produce in appropriate quantities.
Mass Productions
Customers now want quick service with instant gratification. Mass production is a guaranteed way of satisfying the huge demand. But, it can also backfire with items being produced which may or may not be consumed. Using Big data analytics, retailers can manufacture items based on which products are working and quickly alter the production accordingly.
Aggregation
Instead of pulling solely from internal datasets, companies today are able to pull from a variety of datasets across the web to determine not only what their customers want but also what their competitor’s competition wants. Social media shares, likes, tweets are used to analyze the trends and people’s response to any new design launched by the designers.
Through the use of big data from data collection tools, even the notoriously fickle and creatively driven industries like fashion can more efficiently deliver the products and services that meet consumer demands. Identifying designer influence allows producers, retailers and consumers to make more informed decisions about what they buy, as well as identify tomorrow’s influencers within the industry.
If this article gets you piqued about Big Data and its immense value in transforming your business, do call us at +91-80-4110-5555 or mail to info@sysfore.com.
