Midnyte City promotes Kim Spillman as new general manager
Melbourne-based technology consultancy Midnyte City has promoted Kim Spillman as its new general manager.
Melbourne-based technology consultancy Midnyte City has promoted Kim Spillman as its new general manager.
Implement observability in strategic areas of the software development life cycle, especially with complicated microservices and cloud-native apps.
Industry leaders agree that data governance belongs to everyone in IT. Managing the privacy, security, and reliability of data impacts all aspects of the business.
Devops is tough, but the choice between faster development and improving reliability shouldn't be. Now is the time to consider shifting-left.
Lengthy design phases used to be a required step and sometimes an enterprise prerequisite before engineering teams began developing apps and systems.
Automation and integration are key for companies hoping to modernise dev, ops and security workflows.
The new DevSecOps-oriented software is designed to provide real-time, deeper insights into critical enterprise infrastructure and applications.
The 10th State of Devops report by Puppet shows that the vast majority of businesses are still stuck in the mid-evolution phase.
There’s no one-size-fits-all solution for devops, but we can describe a development process and toolchain that flex to absorb all the complexity we require.
Developers may come and go, but good documentation lasts forever—and is valuable to many different audiences.
Devops practitioners continued to see their salaries rise, even through the turmoil of the COVID-19 pandemic, according to Puppet findings.
The most mature devops organisations rely on self-service internal platforms, automated change management processes, and integrated security.
Westcon has signed a distribution agreement with Sumo Logic across Asia Pacific to enhance capabilities within an expanding regional DevOps market.
Highly regulated financial services firms are turning to devops in droves, as they look to be more responsive to changing customer demands.
Once machine learning models make it to production, they still need updates and monitoring for drift. A team to manage ML operations makes good business sense.