Related Content
 |
Virtualization or Containerization? Choosing the Right Strategy Virtualization and containerization are the top approaches when it comes to enabling scalability, limiting overhead costs, and standardizing software development, deployment, and management across multiple platforms. Each has its pros and cons, so which is the right choice for your team, application, and technology? |
|
 |
Choosing a Search Engine Database A search engine database indexes data in addition to storing it, so users are able to search collections of data using keywords. The features here are common to most search engine databases, so when deciding which is best for your use, determine what factors are most important and pick one that prioritizes your needs. |
|
 |
Choosing between MySQL and PostgreSQL MySQL and PostgreSQL are the top two open source relational databases, and they have a lot in common. So how can developers choose between them? The application should guide the features that need to be prioritized. Here’s how the two databases compare with regard to the features that most relational databases support. |
|
 |
Plan for the Year the Agile Way The start of a new year always comes with new resolutions, goals, and a set of plans to grow in the future. The excitement and energy that a new start brings can rejuvenate a team. However, if you’re not careful, that same ambition can lead to failure. This year, adjust your strategy and plan in a more agile manner. |
|
 |
The Curse of Rushed Requirements When development is outsourced, a documented baseline of expected functionality sets expectations for both the client and developer. Acknowledging that agile practices are flexible, beware the trap of rushing requirements just because you know they are going to change. It's still essential to be as accurate as you can. |
|
 |
Top 10 TechWell Insights Stories of 2019 Career development was on many software practitioners' minds in 2019, as some of our top stories were about having a technical lead on a Scrum team and making the switch from quality assurance to quality engineering. Stories about new ideas such as DevOps and continuous testing also ranked high. Check out the roundup. |
|
 |
When to Use MapReduce with Big Data MapReduce is a programming model for distributed computation on big data sets in parallel. It's a module in the Apache Hadoop open source ecosystem, and a range of queries may be done based on the algorithms available. Here's when it's suitable (and not suitable) to use MapReduce for generating and processing data. |
|
 |
Stop Fanning the Flames of Constant Firefighting Continually having to address unexpected problems interrupts your original sprint activities, causing stress on the team members and fanning the flames for future firefights. But with due diligence, you can lessen the need to constantly put out fires. Here are some steps that can break the cycle of work and rework. |
