Cloud Computing Trends: Where is the Cloud Headed Next?

Cloud adoption has been quick and painless at the consumer level. For instance, everyone’s on Gmail, YouTube, Facebook and Twitter on a daily basis yet most think nothing of the fact that they’re already using cloud-based services. Small businesses have also discovered how cloud solutions have raised efficiency in the workplace up a notch or two, while also bringing about significant cost savings. Cloud applications, particularly those for communication, file sharing, office software, backup and storage, and customer management, have rapidly grown in usage among SMBs.

In the same manner, large corporations are starting to see the potential of moving some of their IT department, whether its infrastructure or network management, to the cloud. By all indications it would seem that whether we are ready for it or not, cloud computing technology is here for the long haul.

So where is the cloud headed to next? In this post we examine the trends in the world of cloud computing and what likely lies in store in the near future for cloud users.

Focus on Security

Security has always been a key concern in the cloud computing industry and this will not go away anytime soon. If anything, data security in the cloud will only get to be in the limelight even more as cloud adopters grow in number. That’s why we expect professional cloud services providers to start implementing measures that will help slowly build up confidence in cloud security.

We should soon see more advanced security techniques and protocols that would increase the overall level of privacy and protection for cloud-stored information. Tighter security for login encryptions and prevention of unauthorized access are priority although there are a lot more issues that may need to be addressed. Now it remains to be seen whether these moves are enough for corporate clients to put their full trust in the cloud. But then again, they can always find ways to stay secure while making use of cloud computing where they can, which brings us to the next cloud trend.

Hybrid Approach

Large businesses are taking a longer time to get used to and actually use cloud services, and understandably so. After all, these companies have more at stake when it comes to dealing with such valid issues as security, compliance, outages, legacy systems, and more. However, they also cannot ignore the very appealing characteristics of the cloud. For big companies that have substantial IT needs, scalability, business agility, and faster deployment are listed as the biggest draws of the cloud.

This is why analysts predict that as as these businesses look toward leveraging the benefits of the cloud while at the same time maintaining control over mission critical data and systems, the use of a hybrid approach, i.e. putting some services in a public and at the same time opting to utilize a private cloud for other applications, will see enormous growth.

Mobile Cloud Computing

The BYOD or Bring Your Own Device business policy is another emerging trend that would not have been possible if not for cloud technology. This practice involves having employees bring their mobile devices to work, allowing them to access company files, data, and applications from their personally-owned gadgets in and out of the workplace.

As with any new business practice, the concept of BYOD can be both advantageous and disadvantageous. On the one hand, some believe it helps increase employee productivity and lifts their morale, while reducing overall IT costs. On the other hand, BYOD also opens up a whole new set of problems that are quite consistent with what many businesses take issue with with cloud technology: security. Do the pros outweigh the cons or vice versa? This much isn’t clear yet but what is evident is that more cloud apps are going mobile.

Efficiency, Innovation

While cost savings has always been one benefit that cloud proponents are quick to point out, its capability to improve and streamline business processes, thereby increasing efficiency and agility within the organization, is another key opportunity that the cloud offers. This is evident when you take a look at the most commonly used cloud services: backup and archiving, business continuity, collaboration tools, and big data processing.

Moreover, the cloud is making it easier for individuals to create new products and produce new lines of business. With access to higher IT capacity at lesser cost and at faster deployment rates, businesses can scale into more innovation without having to worry about the availability of computing resources.

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8 Best Practices To Reduce Technical Debt

When past actions in software development return to haunt you…

Is your business being bogged down by technical debt? Let’s look at measures that you can take to reduce it and scale your operations without the weight pulling you back. 

 

Work with a flexible architecture.

Right from the word go, you want to use architecture whose design is malleable, especially with the rapid rate of software evolution witnessed today. Going with an architecture that keeps calling for too much refactoring, or whose design won’t accommodate future changes will leave you with costly technical debt. Use scalable architecture that allows you to modify or add new features in future releases. While on this, complex features required in the final product should be discussed at the planning stage, that way simplified solutions that will be easier to implement can be identified, as this will lead to less technical debt in the long run. 

 

The Deal with Refactoring 

This is basically cleaning up the code structure without changing its behaviour. With the updates, patches, and new functionalities that are added to the systems and applications, each change comes with the threat of more technical debt. Additionally, organisations are increasingly moving their IT infrastructure from on-premises facilities to colocation data centres and deploying them on the cloud. In such scenarios, some workarounds are often needed to enable the systems to function in the new environments, which they hadn’t been initially developed to accommodate. Here, you will need to take some time to refactor the existing system regularly, streamlining the code and optimizing its performance – and this will be key to pay down the tech debt. When working with a flexible architecture from the start, the amount of work that goes into this will be reduced, meaning there’ll be less tech debt involved. 

 

Run discovery tests

Discovery testing essentially takes place even before a line of code is written for the system or application. This takes place at the product definition stage, where human insight software is used to understand the needs of the customer and is particularly helpful in setting priorities for the development work that will be carried out. It gives your business the opportunity to minimize the technical debt by allowing customers to give you a roadmap of the most pertinent features desired from the product. 

 

Routine code review

Getting a fresh look at the product or application from different sets of eyes in the development team will improve the quality of the code, thus reducing technical debt. There’s a catch though – this should be planned in a convenient way that doesn’t end up becoming a burden for the developers. Here are suggestions:

● Break down pull requests

Instead of having complex pull requests where numerous changes in the code are introduced at a go, have this broken down into smaller manageable pull requests, each with a brief title and description about it. This will be easier for the code reviewer to analyse. 

● Define preferred coding practices

Documenting the preferred coding style will result in cleaner code, meaning the developers will focus their effort on reviewing the code itself, not losing time on code format debates.

 

Test automation

Relying only on scheduled manual testing opens you up to the risk of technical debt accruing rapidly, and not having sufficient resources to deal with the accumulated problems when they are identified. Automated testing on the other hand enables issues to be uncovered quicker, and with more precision. For instance, you can have automated unit tests that look at the functioning of the individual components of a system, or regression testing where the focus is on whether the code changes that have been implemented have affected related components of the system. However, establishing and maintaining automated testing will require quite some effort – making it more feasible for the long-term projects.

 

Keep a repository that tracks changes made

Do you have a record of changes made in the software? Keeping one in a repository that is accessible by the development team will make it easy to pin-point problems at their source. For instance, when software is being migrated to a new environment, or legacy software is in the process of being modernised, you will want to have an accurate record of changes that are being introduced, that way if there is an undesired impact on the system this it will be easier to zero-down on the cause.

 

Bring non-technical stakeholders on board

Does this conversation sound familiar?

Development Team: “We need to refactor the messy code quickly”

Product Team: “We have no idea what you are saying”

On one hand, you have the management or product team defining the product requirements, creating a project roadmap, and setting its milestones. On the other hand, there’s the software development/engineering that’s primarily focused on the product functionality, technical operations and clearing the backlog in code fixes. Poor communication between the two teams is actually a leading cause of technical debt.

For you to take concrete steps in managing your technical debt, the decision-makers in the organisation should understand its significance, and the necessity of reducing it. Explain to them how the debt occurred and why steps need to be taken to pay it down – but you can’t just bombard them with tech phrases and expect them to follow your thought process. 

So how do you go about it? Reframe the issues involved with the technical debt and explain the business value or impact of the code changes. Basically, the development team should approach it from a business point of view, and educate the management or production team about the cost of the technical debt. This can include aspects such as expenses in changing the code, salaries for the software engineers especially when the development team will need to be increased due to the workload piling up, as well as the revenue that is lost when the technical debt is allowed to spiral. 

The goal here is to show the management or production team how issues like failing to properly define the product requirements will slow down future software development, or how rushing the code will affect the next releases. That way, there will be better collaboration between the teams involved in the project. 

 

Allocate time and resources specifically for reducing technical debt

With management understanding that working with low-quality code is just like incurring financial debt and it will slow down product development, insist on setting time to deal with the debt. 

For instance, when it comes to the timing of application releases, meetings can be conducted to review short- and longer-term priorities. These meetings – where the development team and product team or management are brought together, the developers point out the software issues that should be resolved as a priority as they may create more technical debt. Management then ensures that budgets and plans are put in place to explicitly deal with those ongoing maintenance costs.

 

Retire old platforms

While most of the resources are going into developing new applications and improving the systems being used, the organisation should also focus on retiring the old applications, libraries, platforms, and the code modules. It’s recommended that you factor this into the application release plans, complete with the dates, processes and costs for the systems involved. 

 

Total overhaul

When the cost and effort of dealing with the technical debt far outweighs the benefits, then you may have to replace the entire system. At this tipping point, you’re not getting value from the technical debt, and it has become a painful issue that’s causing your organisation lots of difficulties. For instance, you may be dealing with legacy software where fixing it to support future developments has simply become too complicated. The patches available may only resolve specific issues with the system, and still leave you with lots of technical debt. Here, the best way out is to replace the system in its entirety. 

 

Final thoughts

Every software company has some level of tech debt. Just like financial debt, it is useful when properly managed, and a problem when ignored or allowed to spiral out of control. It’s a tradeoff between design/development actions and business goals. By taking measures to pay down your organization’s debt and address its interest as it accrues, you will avoid situations where short term solutions undermine your long-term goals. This is also key to enable your business to transition to using complex IT solutions easier, and even make the migration between data centres much smoother. These 8 measures will enable you to manage your technical debt better to prevent it from being the bottleneck that stifles your growth.

Technology and process improvement

Tightening organisational flow to improve productivity and minimise costs is a growing concern for many businesses post the Global Financial Crisis. Businesses can no longer afford to waste time and personnel on inefficient processes. Organisations using either Six Sigma or Lean techniques better manage their existing resources to maximise product out-put. Both of these techniques involve considerable evaluation of current processes.

What is Six Sigma?

Six Sigma is an organisational management strategy that evaluates processes for variation. In the Six Sigma model, variation equates waste. Eliminating variation for customer fulfilment allows a business to better serve the end-user. In this thought model, the only way to streamline processes is to use statistical data. Each part of a process must be carefully recorded and analysed for variation and potential improvements. The heart of the strategy embodied by Six Sigma is mathematical. Every process is subject to mathematical analysis and this allows for the most effective problem solving.

What is a Lean Model?

Lean businesses do not rely on mathematical models for improvement. Instead, the focus is on reducing steps in the customer delivery cycle, which do not add value to the final deliverable. For example, maintaining excess inventory or dealing with shortages would both be examples of waste behaviour. Businesses that operate using Lean strategies have strong cash flow cycles. One of the best and most famous examples of Lean in action is the Toyota Production System (TPS). In this system, not only is inventory minimised, but physical movement for employees also remains sharply controlled. Employees are able to reach everything needed to accomplish their tasks, without leaving the immediate area. By reducing the amount of movement needed to work, companies also remove wasted employee time.

Industry Applications for Lean and Six Sigma

Lean businesses reduce the number of steps between order and delivery. The less inventory on hand, the less it costs a business to operate. In industries where it is possible to create to order, Lean thinking offers significant advantages. Lean is best utilised in mature businesses. New companies, operating on a youthful model, may not be able to identify wasteful processes. Six Sigma has shown its value across industries through several evolution’s. Its focus on quality of process makes it a good choice for even brand new businesses. The best use is the combination of the two strategies. With the Lean focus on speed and the Six Sigma focus on quality combined, the two organisational processes create synergy. By itself, Lean does not help create stable, repeating success. Six Sigma does not help increase speed and reduce non value-added behaviours. Combined, these two strategies offer incredible value to every business in cost savings.

Using Technology to Implement Lean Six Sigma

Automation processes represent an opportunity for businesses to implement a combination of both Lean and Six Sigma strategies. Any technology that replaces the need for direct human oversight reduces costs and increases productivity. A few examples of potentially cost saving IT solutions include document scanning, the Internet, and automated workflow systems.

  • Document Scanning – Reducing dependency on paper copies follows both Lean and Six Sigma strategies. It is a Lean addition in that it allows employees to access documents instantly from any physical location. It is Six Sigma compliant in that it allows a reduction on process variation, since there is no bottleneck on the flow of information.
  • The Internet – The automation potential offered by the Internet is limitless. Now, businesses can enter orders, manage logistics and perform customer service activities from anywhere, through a hosted portal. With instant access to corporate processes from anywhere, businesses can manage workflow globally, allowing them to realise cost savings from decentralisation.
  • Automated Work Systems – One of the identified areas of waste in any business is processing time. The faster orders are processed and delivered, the greater the profits for the company and the less the expense per order. When orders sit waiting for attention, they represent lost productivity and waste. Automated work systems monitor workflow and alert users when an item sits longer than normal. These systems can also reroute work to an available employee when the original worker is tied up.

Each of these IT solutions provides a method for businesses to either reduce the number of steps in a process or improve the quality of the process for improved customer service.

Identifying Areas for Lean Six Sigma Implementation

Knowing that improved processes result in improved profits, identifying areas for improvement is the next step. There are several techniques for creating tighter processes with less waste and higher quality. Value Stream Mapping helps business owners and managers identify areas of waste by providing a visual representation of the total process stream. Instead of improving single areas for minimal increases in productivity, VSM shows the entire business structure and flow, allowing management to target each area of slow down for maximum improvement in all areas.

Seeing the areas of waste helps management better determine how processes should work to best obtain the desired outcomes. Adding in automated processes helps with improved process management, when put in place with a complete understanding of current systems and their weaknesses. Start with mapping and gain a bird’s-eye view of the situation, in order to make the changes needed for improvement.

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Field Service Organisations should use Digital Forms

For many Organisations, making use of paper based forms, is a common practice and method for collecting data and recording transactions. Whether it be for producing Quotations, Invoices or even getting sign off on completed jobs.

Paper based forms and documents have been the main stay of office communication and productivity for over 200 years. Paper-based forms are used to create anything from Invoices, Receipts, Purchase Orders, Contracts to the humble internal memo!

Paper-based forms radically improved productivity, efficiency and compliance by enabling people to create paper based instructions and enabling others to add additional information as required.

Over the past 3 decades or so, modern business environments have gradually been evolving towards the concept of the Paperless Office, resulting in the humble Paper based document migrating to a Digital Counterpart. The ease of availability of various Word Processing and Spreadsheet software products and cheap and easy data storage capacity have resulted in the Proliferation of thousands if not millions of files and documents being stored somewhere on the Company’s IT infrastructure.

People often create Digital Templates of forms that may be printed off and supplied to staff to complete using Pen and Paper or electronically. The data collation and reporting is often process

Often when conducting Operational Reviews, it is commonly found that the processing and analysing paper based forms is the least productive, efficient and profitable areas of business, although it is often vitally important.

Benefits of using digital forms for data collection

The ability to collect and analyse data effectively is increasingly important to businesses. Companies gather, examine, process and build reports on large volumes of data. Traditionally, they have deployed mail surveys, telephone interviews, door-to-door interviews as methods to collect information. With the ongoing digitisation, these procedures have become old fashioned.The digital transformation is changing many business operations at a high speed and a great deal of processes that were executed manually are now accomplished using digital methods.

Technology has had a major impact on how to approach data research and has provided researchers new tools that have transformed and improved data collection and analysis. The pace of change requires companies to be able to react quickly and adapt themselves to changing demands from customers and market conditions.

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