Operations | Monitoring | ITSM | DevOps | Cloud

DevOps gained popularity in order to combat siloed workflows, decreased collaboration and a lack of visibility across the software development lifecycle. While establishing a culture of DevOps has helped teams collaborate better and deliver reliable software faster, DevOps teams don’t necessarily have someone specifically dedicated to developing systems that increase site reliability and performance. That’s where a site reliability engineer (SRE) comes into the picture.

This panel is in alpha version and still in development. To use it as is, you need to modify your configuration file and set enable_alpha = true in the panels section. More information can be found on this page. Two-dimensional graphics are the de facto way to visualize data within the observability realm, and Grafana is really good at plotting data this way.

In dynamic production environments, unpredictable traffic loads and frequent code changes can make it difficult for organizations to consistently optimize their cloud infrastructure, resulting in application performance issues, latency, and wasted cloud spend. Teams that manage large-scale cloud infrastructure deployments are often forced to tune their workloads’ configurations using a complicated mesh of script jobs—or worse, manual remediation by on-call engineers prompted by alerts.

Everyone is shifting their workloads to the cloud, but one challenge remains: Workloads need to be automated. Whether they’re employing a cloud-native, cloud server, or hybrid model—IT operations teams need to know what, when, and now also where to automate. Speaking at the recent 2022 Automation Virtual Summit, Dave Kellermanns, Global Advisor for Automation, Broadcom Software explored some lessons learned and best practices for cloud automation. Read on to see some of the highlights.

This is the second installment of a three part blog series. John Appleby sits down with Nick Miletich, CTO at Managecore, to discuss how building a next generation managed service firm had to include automation at the helm.

In any hospital, IT tickets raised by doctors and nurses are critical because every IT issue they face takes time and energy away from the delivery of care. The longer it takes to resolve a ticket from clinical staff, the greater the potential negative impact that issue can have on patient experience. Yet even with significant investment in support resources, doctors and nurses may still feel their technology issues are not resolved fast enough.

eG Enterprise is designed to be deployed automatically at scale within IaC type workflows and by products such as Nerdio Manager that facilitate automation. Deployment of eG Enterprise can be automated with or without Nerdio Manager. Many of our customers do choose Nerdio Manager to automate other workflows and to create and manage images for Azure Virtual Desktop (AVD) deployments.