Speed and security. Old-fashioned thinking contended that the two were incompatible; that high-velocity development and deployment of apps and software services invariably introduced higher levels of risk. However, it has become increasingly apparent that speed is a necessary aspect of security. The stakes are sky-high, with some estimates projecting that the annual cost of cybercrime losses and damage will reach $6 trillion by 2021.
DevOps is revolutionizing the way enterprises deliver apps to the market by blending software development and information technology operations. This convergence creates an assembly line for the cloud, as Tim Erlin wrote for The State of Security, by increasing the rate at which companies can develop apps and deliver them to users.
By now, many organizations have turned to DevOps as part of their ongoing digital transformations. This process has not been the same for any two companies. Indeed, organizations have embraced DevOps at their own place, and they’ve invested varying levels of time and budget into their nascent deployments.
Forrester Research has released The Forrester Wave™: Intelligent Application & Service Monitoring, Q2 2019 report and I am excited to share that Devo has been identified as a Strong Performer. Devo’s recognition as a Strong Performer is, in our opinion, a great validation of our data-first approach.
It’s a trap! If you’re going to learn how to escape the data management TCO trap, the first place to start is understanding what the cost factors are and how they are interrelated. Then, understand what the traps are and how you can avoid them. Follow along to learn more.
Some believe that “whatever can be automated, should be automated” and in general benefits include faster production, consistency in product and quality, rolling back from failures and all allowing employees to focus on more creative and analytical tasks. The same can be said for the automation of quality assurance and security of developer coding and programming.
DevOps is the new normal, and cloud here is to stay – sound familiar? When you combine the two and distill the technology at the core, what you end up with is the realization of the importance of logs and log management. This is because logs at multiple levels help DevOps teams understand their application and even allow them to detect and address application issues before being promoted into production.
