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Dealing with Cognitive Biases in Software Development
Cognitive biases help us to think faster, but they also make us less rational than we think we are. Being able to recognize and overcome biases can prevent problems and increase the performance of software teams.
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What Machine Learning Can Do for Security
Machine learning can be applied in various ways in security, for instance, in malware analysis, to make predictions, and for clustering security events. It can also be used to detect previously unknown attacks with no established signature.
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How Mob Programming Collective Habits Can be the Soil for Growing Technical Quality
Mob programming can support teams in changing old habits into new effective habits for creating products in an agile way. Collectively-developed habits are hard to forget when you have other people around. Mob programming forces individuals to put new habits into practice regularly, making them easier to adopt. Teams are intolerant of repetition, looking for better ways of doing their work.
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How Organisational Culture and Psychological Safety Fosters Our Creativity
Organisations need to create the right conditions and culture for creativity to flourish so as to stay relevant, compete and thrive for the future. An addiction to burnout and fixation on productivity can stifle creativity. What’s needed is psychological safety, inclusion, experimentation, growth mindsets and allowing thinking time.
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Lowering Recovery Time through AI-Enabled Troubleshooting
Machine learning algorithms for anomaly detection can assist DevOps in daily working routines, where generalized ML models are trained and applied to detect hidden patterns and identify suspicious behaviour. Applied machine learning for IT-operations (AIOPs) is starting to move from research environments to production environments in companies.
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How a Safe-to-Fail Approach Can Enable Psychological Safety in Teams
Companies can establish a culture of psychological safety among their employees, a culture in which failing is not frowned upon but rather is accepted as something that can happen to anyone. Safe-to-fail should be part of the corporate culture. A shift in the way we envision success can lead to a better understanding of where failure lies and provide courage to overcome our fears.
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Improving Gender Inclusion by Using Agile Principles
Pakistan is behind with regards to gender inclusion in technology; however, coding boot camps are helping women to get jobs and become financially independent. Faiza Yousuf, a product management expert and community leader, spoke about how she uses agile principles for improving gender inclusion at Agile 2021.
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The Future of Agile in Africa: Challenges and Progress
The African continent is trailing behind in the adoption of agile compared to other continents as it faces wicked challenges and setbacks. However, the next two decades seem to be promising to the young continent, as tech startups, SMEs and large corporations are recognizing that a collaborative approach to product development leads to more productive and value-driven results.
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Moving from Self-Doubt and Imposter Syndrome toward Seeing the Benefits of Diversity in Technology
As someone with a non technical background, Charu Bansal, has navigated the imposter syndrome in her career, often wondering what value she could bring to security. In her talk at The Diana Initiative 2021, she showed how having a diverse perspective helped her to solve challenging security problems as she pivoted from a non-technical career into information security.
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How a Test Strategy Helped to Increase Deployment Maturity and Product Quality
Implementing a test strategy helped an organization to move away from push and pray deployment toward continuous and confident deployment to production. The organization mapped their test strategy in a framework with different enablers, which has helped them align on quality metrics for the whole product together with a strong safety net of tests before moving to production.
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How Quantifying Information Leakage Helps to Protect Systems
Information leakage happens when observable information can be correlated with a secret. Secrets such as passwords, medical diagnosis, locations, or financial data uphold a lot of our world, and there are many types of information, like error messages or electrical consumption patterns, that can give hints to these secrets.
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Tech People: Enhance Your Professional Journey with Mindfulness
In software development, we need to focus carefully and stay focused in order to be productive. Especially during a lockdown, people in tech are faced with stress, lack of concentration, and other mental problems that reduce their focus and motivation. To enhance tech people’s professional journey, a suggestion is to combine testing with mindfulness.
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MLOps: Continuous Delivery of Machine Learning Systems
Developing, deploying, and keeping machine learning models productive is a complex and iterative process with many challenges. MLOps means combining the development of ML models and especially ML systems with the operation of those systems. To make MLOps work, we need to balance iterative and exploratory components from data science with more linear software engineering components.
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How External IT Providers Can Adopt DevOps Practices
IT suppliers can follow the “you build it, you run it” mantra by working in small batches, using an experimental approach to product development, and validating small product increments in production. The supplier has to find out what his client’s goal is, and it has to become the supplier’s goal as well to work in a collaborative way.
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Experiences from Measuring the DevOps Four Key Metrics: Identifying Areas for Improvement
Measuring the four key metrics of IT helped a company to assess the performance of their software delivery process. Continuous observation of these metrics supports decisions on where to invest and guides performance improvements.