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5 Challenges of Building Data Applications

Fast-growing software companies are building data applications for a variety of uses, from marketing apps that provide customer insights, to IoT apps that handle device feedback, and data analytics apps that process both historical and near real-time data. But developers often face obstacles when building, designing, and supporting applications that need to parse large volumes of information.

Databases Demystified Lesson 4: Transactions Part 1

In this episode of Michael Kaminksy's Databases Demystified, we learn all about what a transaction is, and what ACID means. Learn why database constraints are important, and what the commands "begin" "commit" and "rollback" mean. We talk about atomicity, consistency, isolation, and durability and why transactions are so important.

Databases Demystified Lesson 6: Distributed Databases Part 1

Welcome to episode 6 of Michael Kaminsky's Databases Demystified. In this lesson, we introduce a fascinating and incredibly important topic: distributed databases. We discuss "nodes" and "clusters" and we cover the two major paradigms in distributed databases: big-compute databases and high-availability databases.

Databases Demystified: Lesson 7: Distributed Databases Part 2

Episode 7 of Michael Kaminsky's Databases Demystified. Learn about new issues we face in distributed databases and all about the CAP theorem. We'll talk about leader and follower nodes, what happens when distributed databases lose connection with a node, and what CAP stands for: consistency, availability, and partition tolerance.

Databases Demystified Lesson 3: Row vs Column Store

In Michael Kaminsky's third episode, we learn about the differences in row store vs column store database. This is a very important concept for understanding the difference between analytical and transactional databases, and we talk about the tradeoffs between using row and column stores for saving the data. Michael gets into the weeds and talks about disk blocks and the different types of queries that work well for row and column stores.

Introducing Bitrise Trace

Colin Hemmings, Product Manager at Bitrise introduces Trace, the new application performance monitoring (APM) solution we are building here at Bitrise Trace is monitoring made specifically for mobile, helping you catch bugs before they reach your users. With Trace, you’ll be able to have a complete view of these issues with full context, so that you can assess, reproduce, and fix them as quickly as possible.

Ways to Ensure App Security With Java Features

As important as adding new features, app developers need to start placing more emphasis on the security aspect of the applications they design. After all, more app features mean more data residing within an app. Without proper security controls in place, that data can be vulnerable to intruders.