Operations | Monitoring | ITSM | DevOps | Cloud

Using the cloud reduces on-premises infrastructure costs and related maintenance. Instead of deploying more servers, storage, and networking components to your own datacenter, you are now deploying these as cloud resources. Using the cloud is supposed to reduce infrastructure and maintenance costs. However, deploying cloud resources also risks over-commissioning, under-usage, and keeping resources running that are not always needed or, even worse, no longer in use.

How do you handle deployment failures with a single-tenant database architecture? We’ve had a question come up from a couple of customers regarding an interesting use case with Redgate’s SQL Change Automation. In this scenario, customers say: A natural question that arises is what to do when a deployment fails against a single database. For example: One approach that seems simplest to folks is wrapping the entire multi-database deployment into a single transaction.

Building Site Reliability Engineering (SRE) teams is hard! There are so many articles and explanations of what SRE means, it’s easy to get lost. Going beyond understanding what the individual SRE role is into building and scaling a team of SREs is more of a challenge. It’s important to find the right information that will help you take your SRE team to the next level.

At the beginning of 2020, none of us could have imagined what we would be talking and thinking about at the end of the year. At JFrog, we began by talking about unifying everything in the DevOps lifecycle. Of course very quickly, the message of unity and togetherness would soon become even bigger than we could imagine in light of the global pandemic.

Ketch (https://www.theketch.io) is an open-source application delivery framework for Kubernetes. YAML is a human-readable data-serialization language. It is commonly used for configuration files and in applications where data is being stored or transmitted. Customized YAML files are used by many for the complicated task of deploying to Kubernetes.

Hardware virtualization, also known as hardware assisted virtualization, is the creation of virtual versions of operating systems and computers. The technology was made by AMD and Intel for their server platforms. Its purpose was to improve the processor’s performance and meet virtualization challenges such as translating memory addresses and instructions. Many IT businesses have deployed servers that run only at a fraction of their total capacity.