Continuous testing has evolved to become an important phase in modern application development and delivery. When we at Sumo Logic sketched out a plan to start delivering our microservices continuously, we knew we needed to define a delivery pipeline, which would run our automated tests and provide feedback in early phases of development.
The world is changing. The way we do business, the way we communicate, and the way we secure the entPuppet is a software configuration management and deployment tool that is available both as an open source tool and commercial software. It’s most commonly used on Linux and Windows to pull the strings on multiple application servers at once. It includes its own declarative language to describe system configurations.
The world is changing. The way we do business, the way we communicate, and the way we secure the enterprise are all vastly different today than they were 20 years ago. This natural evolution of technology innovation is powered by the cloud, which has not only freed teams from on-premises security infrastructure, but has also provided them with the resources and agility needed to automate mundane tasks.
Over the years, automation has become a key component in the management of the entire software release lifecycle. Automation helps teams get code from development into the hands of users faster and more reliably. While this principle is critical to your source code and continuous integration and delivery processes, it is equally essential to the underlying infrastructure you depend on.
It’s becoming increasingly harder to manage the volume of threats coming into enterprise networks as attackers become more sophisticated, the threat landscape expands and enterprises continue to adopt modern applications at cloud scale.
Tag-based metrics are typically used by IT operations and DevOps teams to make it easier to design and scale their systems. Tags help you to make sense of metrics by allowing you to filter on things like host, cluster, services, etc. However, knowing which tags to use, and when, can be confusing. For instance, have you ever wondered about the difference between intrinsic tags (or dimensions) and meta tags with respect to custom application metrics? If so, you’re not alone.
