Operations | Monitoring | ITSM | DevOps | Cloud

JFrog’s annual swampUp DevOps conference always brings new, exciting features to further our vision of accelerating releases through liquid software. This year was no exception, as JFrog CTO Yoav Landman and CPO Dror Bereznitsky revealed innovations for the JFrog DevOps Platform that enable end-to-end binary lifecycle management. Enterprise DevOps and large-scale modern application delivery require robust management of binaries, which are the building blocks of applications.

When you’re feeling the stress and pain around incidents, making the decision to find an incident management tool is a no-brainer. But how do you choose the one that will work for you, your team, and your business? You might be asking yourself: Where do I start? What do I need to know? What questions do I ask? What are the options? How can I be sure we’re choosing the right tool?

Chatbots can be like double-edged swords. It can either boost your customer service or turn customers away. Hence, you must make sure that you research and prepare properly before committing to it. This way, you will know how to optimize and maintain your chatbots to ensure its effectiveness. There are many chatbot benefits for business. In fact, 78% of businesses have started integrating such technology into their customer service in the past months.

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.