Disaster Recovery

Because information technology is now integrated in most businesses, a business continuity plan (BCP) cannot be complete without a corresponding disaster recovery plan (DRP). While a BCP encompasses everything needed – personnel, facilities, communications, processes and IT infrastructure – for a continuous delivery of products and services, a DRP is more focused on the IT aspects of the plan.

If you’re still not sure how big an impact loss of data can have, it’s time you pondered on the survival statistics of companies that incurred data losses after getting hit by a major disaster: 46% never recovered and 51% eventually folded after only two years.

Realising how damaging data loss can be to their entire business, most large enterprises allocate no less than 2% of their IT budget to disaster recovery planning. Those with more sensitive data apportion twice more than that.

A sound disaster recovery plan is hinged on the principles of business continuity. As such, our DRP (Disaster Recovery Plan) blueprints are aimed at getting your IT system up and running in no time. Here’s what we can do for you:

  • Since the number one turn-off against BCPs and DRPs are their price tags, we’ll make a thorough and realistic assessment of possible risks to determine what specific methods need to be applied to your organisation and make sure you don’t spend more than you should.
  • Provide an option for virtualisation to enjoy substantial savings on disaster recovery costs.
  • Provide various backup options and suggest schedules and practices most suitable for your daily transactions.
  • Offer data replication to help you achieve business continuity with the shortest allowable downtime.
  • Refer to your overall BCP to determine your organisation’s critical functions, services, and products as well as their respective priority rankings to know what corresponding IT processes need to be in place first.
  • Implement IT Security to your system to reduce the risks associated with malware and hackers.
  • Introduce best practices to make future disaster recovery efforts as seamless as possible.

We can also assist you with the following:

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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.

Are Master Data Management and Hadoop a Good Match?

Master Data is the critical electronic information about the company we cannot afford to lose. Accordingly, we should sanitise it, look after it, and store it safely in several separate places that are independent of each other. The advent of Big Data introduced the current era of huge repositories ?in the clouds?. They are not, of course but at least they are remote. This short article includes a discussion about Hadoop, and whether this is a good platform to back up your Master Data.

About Hadoop

Hadoop is an open-source Apache software framework built on the assumption that hardware failure is so common that backups are unavoidable. It comprises a storage area and a management part that distributes the data to smaller nodes where it processes faster and more efficiently. Prominent users include Yahoo! and Facebook. In fact more than half Fortune 50 companies were using Hadoop in 2013.

Hadoop – initially launched in December 2011 ? has survived its baptism of fire and became a respected, reliable option. But is this something the average business owner can tackle on their own? Bear in mind that open source software generally comes with little implementation support from the vendor.

The Hadoop Strong Suite

  • Free to download, use and contribute to
  • Everything you need ?in the box? to get started
  • Distributed across multiple fire-walled computers
  • Fast processing of data held in efficient cluster nodes
  • Massive scaleable storage you are unlikely to run out of

Practical Constraints

There is more to Hadoop than writing to WordPress. The most straightforward solutions are uploading using Java commands, obtaining an interface mechanism, or using third party vendor connectors such as ACCESS or SAS. The system does not replace the need for IT support, although it is cheap and exceptionally powerful.

The Not-Free Safer Option

Smaller companies without in-depth in-house support are wise to engage with a technical intermediary. There are companies providing commercial implementations followed by support. Microsoft, Amazon and Google among others all have commercial versions in their catalogues, and support teams at the end of the line.

Energy Audit – clearly clear?

An energy audit is an examination of an energy system to ensure that energy is being used efficiently. It is the inspection, survey and analysis of energy flows for energy conservation in a building. Energy audits can be conducted by building managers who examine the energy account of an energy system, checks the way energy is used in its various components, checks for areas of inefficiency or where less energy can be used, and identifies the means for improvement.

An energy audit is often used to identify cost effective ways to improve the comfort and efficiency of buildings. In addition, homes/ enterprises may qualify for energy efficiency grants from central government. Energy audits seek to prioritise the energy uses from the greatest to least cost effective opportunities for energy savings.

An energy audit is an effective energy management tool. By identifying and implementing improvements as identified, savings can be achieved not only on energy bills, but also equipment will be able to attain a longer life under efficient operation. All these mean actual dollar savings.

An energy audit has to be conducted by a competent person with adequate technical knowledge on building services installations, after which he/she comes up with a report recommending plans on the Energy Management Opportunities (EMO) for energy saving.

An energy audit culminates to a written report. This could show energy use for a given time period (for example a year) and the impact of any suggested improvements per year. Energy audit reports are then used to identify cost effective ways to improve the comfort and efficiency of buildings. The energy audit report therefore gives management an understanding of the energy consumption scenario and energy saving plans formulation.
Energy audit reports should always translate into action. No matter how well articulated, the energy management objectives are afterall, an energy audit (EMOs), all the effort will be futile if no action is taken. The link between the audit and action is the audit report. It is therefore important for the audit reports to be understandable for all the target audiences/ readers, all of whom may have diverse needs, hence the reason why they should be clear, concise and comprehensible.

What are the do?s and don’ts when writing energy audit reports?

Avoid technical jargon as much as possible; present information graphically; use different graphics such as pie charts, data tables. Schematics of equipment layouts and digital photos tend to make EMO reports less dry. Some of the energy audit software?s come in handy in the generation of such graphs and charts.
The climax of it all is the recommendations, which should be made very fascinating.

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