Tag: code hygiene

Thinking about frequent food contamination outbreaks, perhaps the old adage, “You are what you eat,” should be modified to, “You are what you eat—as assembled across an unknown supply chain.” Even foods advertised as fresh and healthy can be quite the opposite. And it could be because of just a single unhygienic practice hidden within the food production life cycle.

It’s not unlike the issues facing modern software development. Now with the advent of open-source, cloud computing and component-based designs, the succulent software morsels we deliver can be fouled by a range of contaminates. And while not as a physically debilitating as a case of gastric flu, the impact on business can be extremely severe, such as major security incidents and compliance breaches—the E. coli of digital software production.

The good news is that IT organizations can take effective steps to mitigate the risks. Much like food processing, software contaminates can be introduced anywhere code and data is handled and stored—from requirements and coding to testing, release and operations. This means all stakeholders must take responsibility and be held accountable for software quality. To that end, here are five good practices DevOps practitioners can use to improve software hygiene:

Thoroughly wash test data before handling – Creating, maintaining and provisioning accurate test data is one of the most time-consuming and resource-intensive challenges in continuous delivery. It’s also fraught with business health hazards if teams fail to protect personally identifiable information or continually rely on data that’s well past its use-by date. With public cloud services providing convenient platforms for testing, ignoring these issues will only increase the risk of major compliance breaches. It’s important, therefore, to supplement data migration with fully automated methods to mask and subset sensitive data. Additionally, by continually enriching virtualized or emulated services with realistic test data, teams have a repeatable method for improving the quality and efficiency of testing.

Pay special attention to open source freshness – Open-source software has become a large contributor to the portfolios of many organizations. But just because something is “free” doesn’t negate an organization’s responsibility for due diligence, including understanding total cost of ownership and mitigating security risks. Even though open-source projects have active communities, that hasn’t stopped code pathogens lying dormant for years (for example, Heartbleed went unnoticed for 2.5 years).  With open source, the onus is on development to retain code “freshness”—something that might be difficult if teams are constantly being pulled onto different projects, or if thorough risk control management isn’t a core competency.

Don’t leave software lying around for too long – Just as many foods spoil quickly, software release bottlenecks can quickly leave a sour taste for business. Like a truffle imbues a marvelous aroma, modern digital business must be flavored with a continuous stream of application updates. And, since windows of business opportunity close quickly and application lifespans are as short as days, it’s critical any deployment delays are removed. Letting software linger in the release queue also introduces other hygiene issues—for example, teams putting off documentation or code-refactoring because they know they can always get back to it later. Inevitably they never do, and when the code finally gets deployed it’s unclean or laden with defects and bugs.

Set up a “health inspection” SWAT team – In the traditional “software factory,” application performance management, security auditing and compliance checking often comes late in the software development cycle—leading to delays and conflict. DevOps, with its focus on team collaboration and continuous feedback, aims to rectify this by embedding these practices much earlier. But when resources are limited, it’s not practical to assign a security or operations professional to every agile team; it just won’t scale. What’s key, therefore, is to take a more pragmatic approach; developing teams of specialists and repeatable automated practices others can leverage to remove “bad smells” from code. This could involve:

• Regular education on web application cross-contamination issues and modern API security techniques
• Moving application performance management into pre-production to improve quality
• Auditing services to regularly check composite applications assembled from third parties and open-source software
• Automatically invoking application security testing before and after release and deployment
• Methods to automate testing as requirements are modeled and changed—immediately linked to correct data and expected results
• Scoring mechanisms to highlight security and risk problem areas—all bubbling up to a team and divisional level

Work with your suppliers – In the rush to embrace modern cloud architectures for application scale and resilience, teams often forget that even the most robust platforms can succumb to problems. Savvy teams understand this, working with their cloud partners using modern monitoring and analytical methods to quickly detect and respond to many complex issues well beyond the scope of traditional rules-based methods and slioed tools. By using a design-for-failure approach, DevOps teams understand that no platform is infallible, preferring instead techniques that quickly anticipate and contain inevitable failures to keep the digital business running.

Even the tastiest of food can be toxic, and it’s the same with software. However functionally rich our software creations appear to be, contaminates lurk everywhere within the software pipeline. Use DevOps techniques to pinpoint and eradicate “digital spoilage” quickly, and avoid making the business and customers ill.