How DevOps Could Change Your Business

Henry Ford turned the U.S. auto industry on its head when he introduced the idea of prefabricating components at remote sites, and then putting them together on a production line. Despite many industries following suit, software lagged behind until 2008, when Andrew Clay Shafer and Patrick Debois told the Agile Conference there was a better way to develop code:
– Write the Code
– Test the Code
– Use the Code
– Evaluate, Schedule for Next Review

The term ?DevOps? is short for Development and Operations. It first appeared in Belgium, where developers refined Shafer and Depois? ideas. Since then, DevOps became a counter movement against the belief that software development is a linear process and has largely overwhelmed it.

DevOps – A Better Way

DevOps emerged at an exciting time in the IT industry, with new technology benefiting from a faster internet. However, the 2008 world recession was also beginning to bite. Developers scampered to lower their human resource costs and get to market sooner.

The DevOps method enabled them to colloborate across organizational boundaries and work together to write, quality assure and performance test each piece of code produced in parallel.
DevOps? greater time-efficiency got them to market sooner and helped them steal a march on the competition.

There are many advantages to DevOps when we work in this collaborative way. Cooperation improves relationships between developers, quality assurers and end users. This helps ensure a better understanding of the other drivers and a more time-effective product.

Summary of DevOps Objectives

DevOps spans the entire delivery pipeline, and increases the frequency with which progress is reviewed, and updates are deployed. The benefits of this include:

? Faster time to market and implementation

? Lower failure rate of new releases

? Shortened lead time for bug fixes and updates

The Psycho-Social Implications of DevOps

DevOps drills through organization borders and traditional work roles. Participants must welcome change and take on board new skills. Its interdepartmental approach requires closer collaboration across structural boundaries and greater focus on overarching business goals.

Outsourcing the detail to freelancers on the Internet adds a further layer of opportunity. Cultures and time zones vary, requiring advanced project management skills. Although cloud-based project management software provides adequate tools, it needs an astute mind to build teams that are never going to meet.

The DevOps movement is thus primarily a culture changer, where parties to a project accept the good intentions of their collaborators, while perhaps tactfully proposing alternatives. There is more to accepting a culture than using a new tool. We have to blend different ways of thinking together. We conclude by discussing three different methods to achieve this.

Three Ways to Deploy DevOps in your?Organisation

If you foresee regular DevOps-based projects, consider running your entire organisation through an awareness program to redirect thinking. This will help non-participants understand why DevOps members may be ?off limits? when they are occupied with project work. Outsourcing tasks to contracting freelancers can mitigate this effect.

There are three implementation models associated with DevOps although these are not mutually exclusive.

? Use systems thinking. Adopt DevOps as company culture and apply it to every change regardless of whether the process is digital, or not

? Drive the process via increased understanding and feedback from key receivers. Allow this to auto-generate participative DevOps projects

? Adopt a continuous improvement culture. DevOps is not only for mega upgrades. Feedback between role players is paramount for success everywhere we go.

You can use the DevOps concept everywhere you go and whenever you need a bridge to better understanding of new ideas. We diminish DevOps when we restrict its usefulness to the vital role it plays in software development. The philosophy behind it belongs in every business.

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2015 ESOS Guidelines Chapter 2 – Deadlines and Status Changes

The ESOS process is deadline driven and meeting key dates is a non-negotiable. The penalties for not complying / providing false or misleading information are ?50,000 each. Simply not maintaining adequate records could cost you ?5,000. The carrot on the end of the stick is the financial benefits you stand to gain.

Qualifying for inclusion under the ESOS umbrella depends on the status of your company in terms of employee numbers, turnover and balance sheet on 31 December 2014. Regardless of whether you meet the 2014 threshold or not, you must reconsider your situation on 31 December 2018, 2022 and 2026.

Compliance Period Qualification Date Compliance Period Compliance Date
1 31 December 2014 From 17 July 2014* to 5 December 2015 5 December 2015
2 31 December 2018 From 6 December 2015 to 5 December 2019 5 December 2019
3 31 December 2022 From 6 December 2019 to 5 December 2023 5 December 2023
4 31 December 2026 From 6 December 2023 to 5 December 2027 5 December 2027

Notes:

1. The first compliance period begins on the date the regulations became effective

2. Energy audits from 6 December 2011 onward may go towards the first compliance report

Changes in Organisation Status

If your organisation status changes after a qualification date when you met compliance thresholds, you are still bound to complete your ESOS assessment for that compliance period. This is regardless of any change in size or structure. Your qualification status then remains in force until the next qualification date when you must reconsider it.

Malware

In the past, viruses were created with the sole purpose of wreaking havoc on the infected systems. A large fraction of today’s malware, on the other hand, are designed to generate revenues for the creator. Spyware, botnets, and keyloggers steal information from your system or control it so that someone else can profit. In other words, the motivation for making them is now more attractive than before.

Keyloggers can reveal your usernames, passwords, PIN numbers, and other authentication information to their creators by recording your key strokes. This information can then be used for breaking into various accounts: credit cards, payment programs (like PayPal), online banks, and others. You’re right, keyloggers are among the favourite tools of individuals involved in identity theft.

Much like the viruses of old, most present day malware drain the resources, such as memory and hard disk space, of contaminated systems; sometimes forcing them to crash. They can also degrade network performance and in extreme cases, may even cause a total collapse.

If that’s not daunting enough, imagine an outbreak in your entire organisation. The damage could easily cost your organisation thousands of euros to repair. That’s not even counting yet the value of missed opportunities.

Entry points for malware range from optical disks, flash drives, and of course, the Internet. That means, your doors could be wide open to these attacks at this very moment.

Now, we’re not here to promise total invulnerability, as only an unplugged computer locked up in a vault will ever be totally safe from malware. Instead, this is what we’ll do:

  • Perform an assessment of your computer usage practices and security policies. Software and hardware alone won’t do the trick.
  • Identify weak points as well as poor practices and propose changes wherever necessary. Weak points and poor practices range from the use of perennial passwords and keeping old, unused accounts to poorly configured firewalls.
  • Install malware scanners and firewalls and configure them for maximal protection with minimal effect on network and system performance.
  • Implement regular security patches.
  • Conduct a regular inspection on security policy compliance as well as a review of the policies to see if they are up to date with the latest threats.
  • Keep an audit trail for future use in forensic activities.
  • Establish a risk management system.
  • Apply data encryption where necessary.
  • Implement a backup system to make sure that, in a worst case scenario, archived data is safe.
  • Propose data replication so as to mitigate the after effects of data loss and to ensure your company can proceed with ‘business as usual’.

Once we’ve worked with you to make all these happen, you’ll be able to sleep better.

Other defences we’re capable of putting up include:

Migrating from CRM to Big Data

Big data moved to centre stage from being just another fad, and is being punted as the latest cure-all for information woes. It may well be, although like all transitions there are pitfalls. Denizon decided to highlight the major ones in the hope of fostering better understanding of what is involved.

Accurate data and interpretation of it have become increasingly critical. Ideas Laboratory reports that 84% of managers regard understanding their clients and predicting market trends essential, with accelerating demand for data savvy people the inevitable result. However Inc 5000 thinks many of them may have little idea of where to start. We should apply the lessons learned from when we implemented CRM because the dynamics are similar.

Be More Results Oriented

Denizon believes the key is focusing on the results we expect from Big Data first. Only then is it appropriate to apply our minds to the technology. By working the other way round we may end up with less than optimum solutions. We should understand the differences between options before committing to a choice, because it is expensive to switch software platforms in midstream. data lakes, hadoop, nosql, and graph databases all have their places, provided the solution you buy is scalable.

Clean Up Data First

The golden rule is not to automate anything before you understand it. Know the origin of your data, and if this is not reliable clean it up before you automate it. Big Data projects fail when executives become so enthused by results that they forget to ask themselves, ?Does this make sense in terms of what I expected??

Beware First Impressions

Big Data is just that. Many bits of information aggregated into averages and summaries. It does not make recommendations. It only prompts questions and what-if?s. Overlooking the need for the analytics that must follow can have you blindly relying on algorithms while setting your business sense aside.

Hire the Best Brains

Big Data?s competitive advantage depends on what human minds make with the processed information it spits out. This means tracing and affording creative talent able to make the shift from reactive analytics to proactive interaction with the data, and the customer decisions behind it.

If this provides a d?j? vu moment then you are not alone. Every iteration of the software revolution has seen vendors selling while the fish were running, and buyers clamouring for the opportunity. Decide what you want out first, use clean data, beware first impressions and get your analytics right. Then you are on the way to migrating successfully from CRM to Big Data.

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