Operations | Monitoring | ITSM | DevOps | Cloud

Last year was a year of unprecedented challenges for everyone in every part of the world and every industry, and it was also a year of big changes in the IT sector. The pandemic underscored the role of the IT department as an enabler and a critical part of the transition to remote working. While digitalization was well underway before 2020, no one could have predicted the acceleration the pandemic brought on.

With CircleCI, there are many different CI/CD flows that can be automated. One such flow is the use of Infrastructure-as-Code (IaC) to build cloud environments. For example, you can use CircleCI to automate the process of building Terraform plans and applying them, in order to create massive production setups in AWS, Azure, GCP, and other cloud environments.

You’re called in. The system is misbehaving. It could be a key metric going crazy, or exceptions starting to fire. You’re troubleshooting, beating around the bush, just to realize that one of the team’s deployments was the one messing things up. Sounds familiar? If you’re practicing continuous deployment, you probably experience that several times a week, if not more. Users report that 50% of their outages are due to infrastructure and code changes, namely deployments.

As part of our research for the 2021 State of Database DevOps report, we asked 3,000+ recipients what they consider to be the greatest challenge when integrating database changes into a DevOps process. According to the respondents, these are the most important challenges facing database professionals when introducing DevOps practices to database development.

Since the revolutionization of the concept by Docker in 2013, containers have become a mainstay in application development. Their speed and resource efficiency make them ideal for a DevOps environment as they allow developers to run software faster and more reliably, no matter where it is deployed. With containerization, it’s possible to move and scale several applications across clouds and data centers. However, this scalability can eventually become an operational challenge.

Kubernetes — a popular open source container orchestration system — enables you to easily deploy, monitor, and scale cloud-native application workloads in both private and public cloud environments. In other words, Kubernetes does the hard work of managing containerized applications, giving you more time to spend building it.

Prometheus is a free and open-source software for real-time systems and event monitoring and alerting. Originally developed at SoundCloud, Prometheus became a project of the Cloud Native Computing Foundation in 2016, alongside other popular frameworks such as Kubernetes. To start using Prometheus, you’ll need a solid understanding of all of the tool’s functionality.