From a single on-call engineer hopping online to resolve a problem, to a massive cross-team effort that brings in even the most senior technical leadership (CTO, CISO, or CIO), incident response teams are lucky when they’re able to resolve issues before a customer is aware. But in the cases where there is customer impact, other stakeholders like sales and customer service need to be informed and updated as well.
I work on the Solutions Architects team here at Puppet. We are sometimes the first line of defense in solving some of our customers' most challenging or unique problems, and every so often, we see trends in problems that we'd previously considered to be edge cases. For example, cCustomers often ask us two questions: How can we connect external configuration data to Puppet? How can we speed up changing their own configuration for service owners without onboarding them to Git approval processes?
On May 11th, at Intel Vision, Densify won Intel Partner of the year for Software Innovation. This award recognizes the impact of our jointly developed offering: Intel Cloud Optimizer (ICO). <="" a=""> Working with Intel we launched a program for enterprise customers that combines Densify analytics software and Intel expert guidance to help match customer workloads with the cloud instances that enable the best performance at the lowest possible cost.
Since its emergence in the mid-2000s, the cloud computing market has evolved significantly. The benefits of reliability, scalability, and reduced set-up costs have created a demand to fuel an ever-growing range of “as-a-service” offerings, resulting in an option to suit most requirements. But despite the advantages, the question of cloud or on-premise remains valid.
Let’s check out together the features and improvements related to Pandora FMS new release: Pandora FMS 762. Remember that this is an LTS, we only have two of them a year, they are stable.
We had a fantastic time at the Kafka Summit in London this year. It was so great to be meeting everyone face to face again after such a long break. It was interesting to see how people had progressed with their Kafka implementations. At the 2019 event people were just getting started trying out Kafka in small test environments but no one had enough production experience to know understand their needs for management at scale and production support.