Knowledge is power. Power is money. In the context of information systems and applications, knowledge is ingested, processed, and used as data. Data theft or loss can be devastatingly costly to a business. Data is one of an organization’s most valuable assets, and must be secured and protected as such.
For DevOps software developers, navigating the cloud landscape without a clear understanding of risks is equivalent to walking into a minefield blindfolded. Cloud risk management, therefore, becomes an indispensable tool for DevOps – enabling us with the ability to identify, assess, and mitigate potential threats that could jeopardize their applications, their data, and their organization’s reputation.
Every software team is constantly looking for ways to increase their velocity. DevOps has emerged as a leading methodology that combines software development and IT operations to shorten the system development life cycle and provide continuous delivery. However, ensuring software quality and security in a high-velocity environment can be challenging. This is where parallel testing comes into play.
It’s natural to want to believe that every new account creation or online purchase signals the legitimate growth of your business. But the alarming rise in financial and data losses attributed to fraud, suggests a different reality. There are thousands of bad actors actively looking to nickel and dime businesses and consumers. In 2022, a staggering 2.4 million fraud reports flooded the Consumer Sentinel Record.
DevOps is more than just a buzzword and the dev behind the magic is more than just a tech wizard who orchestrates software delivery single-handedly. Behind the curtains is an assembly line of toolchains that makes DevOps possible. 44% of DevOps teams use between 2-5 tools, with 41% using 6-10 tools. High-performing teams also tend to use more tools, resulting in faster deployment cycles and delivering multiple times a month.
Compliance is something that developers dislike. Traditionally led by risk and information security teams, compliance standard enforcement in organizations is not something software engineers are trained to do. So when the words “PCI compliance” are tossed around, for many developers it mentally translates to limitations, guardrails, bottlenecks, and drastic changes to their workflows that impact productivity. But that doesn’t have to be the case.