How DevOps oils the Value Chain

DevOps ? a clipped compound of development and operations – is a way of working whereby software developers are in a team with project beneficiaries. A client centred approach extends the project plan to include the life cycle of the product or service, for which the software is developed.

We can then no longer speak of a software project for say Joe?s Accounting App. The software has no intrinsic value of its own. It follows that the software engineers are building an accounting app product. This is a small, crucially important distinction, because they are no longer in a silo with different business interests.

To take the analogy further, the developers are no longer contractors possibly trying to stretch out the process. They are members of Joe?s accounting company, and they are just as keen to get to market fast as Joe is to start earning income. DevOps uses this synergy to achieve the overarching business goal.

A Brief Introduction to OpsDev

You can skip this section if you already read this article. If not then you need to know that DevOps is a culture, not a working method. The three ?members? are the software developers, the beneficiaries, and a quality control mechanism. The developers break their task into smaller chunks instead of releasing the code to quality control as a single batch. As a result, the review process happens contiguously along these simplified lines.

Code QC Test ? ? ?
? Code QC Test ? ?
? ? Code QC Test ?
? ? ? Code QC Test
Colour Key Developers Quality Control Beneficiary

This is a marked improvement over the previously cumbersome method below.

Write the Code ? Test the Code ? Use the Code
? Evaluate, Schedule for Next Review ?

Working quickly and releasing smaller amounts of code means the OpsDev team learns quickly from mistakes, and should come to product release ahead of any competitor using the older, more linear method. The shared method of working releases huge resources in terms of user experience and in-line QC practices. Instead of being in a silo working on its own, development finds it has a richer brief and more support from being ?on the same side of the organisation?.

The Key Role that Application Program Interfaces Play

Application Program Interfaces, or API?s for short, are building blocks for software applications. Using proprietary software-bridges speeds this process up. A good example would be the PayPal applications that we find on so many websites today. API?s are not just for commercial sites, and they can reduce costs and improve efficiency considerably.

The following diagram courtesy of TIBCO illustrates how second-party applications integrate with PayPal architecture via an API fa?ade.

Working quickly and releasing smaller amounts of code means the OpsDev team learns quickly from mistakes, and should come to product release ahead of any competitor using the older, more linear method. The shared method of working releases huge resources in terms of user experience and in-line QC practices. Instead of being in a silo working on its own, development finds it has a richer brief and more support from being ?on the same side of the organisation?.

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The DevOps Revolution Continues ?

We close with some important insights from an interview with Jim Stoneham. He was general manager of the Yahoo Communities business unit, at the time Flickr became a part. ?Flickr was a codebase,? Jim recalls, ?that evolved to operate at high scale over 7 years – and continuing to scale while adding and refining features was no small challenge. During this transition, it was a huge advantage that there was such an integrated dev and ops team?

The ?maturity model? as engineers refer to DevOps status currently, enables developers to learn faster, and deploy upgrades ahead of their competitors. This means the client reaches and exceeds break-even sooner. DevOps lubricates the value chain so companies add value to a product faster. One reason it worked so well with Flickr, was the immense trust between Dev and Ops, and that is a lesson we should learn.

?We transformed from a team of employees to a team of owners. When you move at that speed, and are looking at the numbers and the results daily, your investment level radically changes. This just can’t happen in teams that release quarterly, and it’s difficult even with monthly cycles.? (Jim Stoneham)

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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.

What is Business Intelligence?

How well do you know your customers? That is, can you actually pinpoint which among them are you most profitable with and which are making you spend more? Are you content with the accuracy of your forecasts and market predictions? Do you feel you’re spending more on legal costs and regulatory compliance than you should?

Your IT department may be handling these concerns pretty well but perhaps you’d like to know how you can further improve things.

What we’ve got is an IT solution wrapped in a fancy name called ‘Business Intelligence’ or BI. If you think that’s too strong a term, we invite you to read more below, then you be the judge.

Dashboards – Determine the health of your business at a glance

Most drivers rarely make use of their car’s dashboard. After all, you can still reach your destination by just using the steering wheel, pedals, gear stick and so on. But that’s not exactly the most efficient way to drive, right?

If you want to save on fuel, you’ll want to glance on the RPM and speedometer from time to time. You might also want to utilise the trip meter to determine which route is the shortest to a given destination. Other dashboard components like the fuel gauge, tire pressure gauge, engine temperature indicator, and volt meter can likewise provide information about your car’s health.

The same concept applies to business management. If you want to run your business intelligently, you can make use of BI dashboards. These are tools in a typical business intelligence package that will allow you to determine the health of your business via a set of smartly configured gauges and other intuitive graphical representations.

So that, literally, at a mere glance, you’ll already know whether various units in your company are working efficiently. A dashboard will also give you instant feedback of the strategies you’ve recently implemented; to let you know if things are working as planned.

If you want more information than a dashboard can provide, our BI packages also include highly customised reports.

Reports that help you decide faster

Dashboards are great for getting valuable information at a glance but they won’t tell you everything. For more details, you’ll need to view highly customised reports. Our reports are tailor made for each user. We see to it that, by default, each person gets the information he needs the most.

If you belong to the sales department, you normally won’t need a presentation of the data that is appropriate for people in accounting. That way, you don’t spend time filtering. Instead, you and your people can move on to making well-informed decisions.

Our BI systems make use of your vast collection of data to provide reports that will organise your regulatory requirements and call your attention to approaching deadlines. The same system will provide the right information for your people on the field. If your team members are equipped with smart phones and Pocket PCs, they can retrieve whatever it is they need to know to close deals, make sales, and serve clients faster than the competition.

Generating logical information from disparate sources of data scattered over an enterprise-wide organisation is no easy task. But we’ll make it look simple. That’s because we’ve got the expertise to bring it all together into a robust data warehouse and to extract them in the form of reports and dashboards through OLAP.

OLAP and Data Warehousing – Powering the generation of actionable information

Want to know how to generate reports with the highest degree of accuracy and reliability? In theory, what you need is a single repository or a data warehouse. That is, order receipts, sales invoices, as well as customer & supplier data is integrated with regulatory details, personnel data, and others. These are all specially organised for future reporting and analysis.

However, data, no matter how all-embracing, is useless until it is processed into actionable information. Through OLAP or Online Analytical Processing, you can seamlessly collect all relevant data from your vast repository to answer queries like “What is our company’s profitability for the 2nd quarter in all identified key cities for our top-of-the-line products?”.

The strength of OLAP lies in its inherent ability to perform data analysis and very complex calculations, thus enabling it to return complex queries much faster than other database technologies. It is therefore suitable for very large data sources, i.e., data warehouses.

Dashboards and reports will only give your organisation the edge if the information retrieved is reliable, fast, and accurate – exactly the kind OLAP is so good at.

Mobile BI – Step back and see the big picture anytime, anywhere

Spreadsheets are great for displaying detailed information. However, in today’s highly competitive market, retrieving information that matters the most in the shortest possible time is vital in maintaining a sizeable lead over the competition. To step back and see the big picture, you’ll need insightful tools like dashboards and automatically generated reports.

Reports can be beamed to mobile devices such as smart phones and Pocket PCs. They can also be viewed on eBook readers as well. You can also do the same tasks with spreadsheets. But imagine how you’d need to scroll over a large spreadsheet on any of these mobile devices just to know which customer in your current location has performed well over the last month.

If you really want to make quick, well-informed decisions, BI dashboards for mobile devices is the way to go. You can make use of various business objects such as drill-able charts, performance metrics, and metric trend graphs to make crucial decisions even when on you’re in the field.

Scrumming Down to Complete Projects

Everybody knows about rugby union scrums. For our purposes, perhaps it is best to view them as mini projects where the goal is to get the ball back to the fly-half no matter what the opposition does. Some scrums are set pieces where players follow planned manoeuvres. Loose / rolling scrums develop on the fly where the team responds as best according to the situation. If that sounds to you like software project management then read on, because there are more similarities?.

Isn’t Scrum Project Management the Same as Agile?

No it’s not, because Scrum is disinterested in customer liaison or project planning, although the team members may be happy to receive the accolades following success. In the same way that rugby players let somebody else decide the rules and arrange the fixtures, a software Scrum team just wants the action.

Scrum does however align closely ? dare I say interchangeably with Agile?s sprints. Stripping it of all the other stages frees the observer up to analyse it more closely in the context of a rough and tumble project, where every morning can begin with a backlog of revised requirements to back fit.

The 3 Main Phases of a Scrum

A Scrum is a single day in the life of a project, building onto what went before and setting the stage for what will happen the following day. The desired output is a block of component software that can be tested separately and inserted later. Scrumming is also a useful technique for managing any project that can be broken into discreet phases. The construction industry is a good example.

Phase 1 – Define the Backlog. A Scrum Team?s day begins with a 15 minute planning meeting where team members agree individual to-do lists called ?backlogs?.

Phase 2 – Sprint Towards the Goal. The team separates to allow each member to complete their individual lines of code. Little or no discussion is needed as this stage.

Phase 3 – Review Meeting. At the end of each working day, the team reconvenes to walk down what has been achieved, and check the interconnected functionality.

The 3 Main Phases of a Scrum ? Conclusions and Thoughts

Scrum is a great way to liberate a competent project team from unnecessary constraints that liberate creativity. The question you need to ask yourself as manager is, are you comfortable enough to watch proceedings from the side lines without rushing onto the field to grab the ball.

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