One of the key features of Ocean by Spot is a “headroom” feature, the ability to maintain a dynamic buffer of spare capacity for immediate scale-up. Ocean continuously predicts which workloads are most likely to require scale-up and adjusts headroom in line with this prediction to enable immediate scheduling of new tasks, without waiting for infrastructure provisioning. This shortens the time to execution for these workloads and dramatically speeds up the scale-up process.

Prometheus is a CNCF graduated project for monitoring and alerting. It is one of the most widely used monitoring and alerting tools in the Kubernetes ecosystem. Rancher users can leverage Prometheus quickly by using the built-in monitoring stack. Prometheus stores its metrics as a time series database on the local disk. Prometheus local storage is limited by the size of the disk and amount of metrics it can retain.

In 2019, the Netdata team already knew that a Netdata Cloud solution in the form of an online platform would greatly complement Netdata’s distributed monitoring by making it much easier to organize large infrastructures and by enabling new ways for teams to collaborate. The old node registry available at the time wasn’t enough for Netdata’s users. Building an online platform, even one that does not directly process users’ metrics, is challenging.

I am making a digital transformation during this novel work-from-home (WFH) era due to a COVID-19 quarantine. Many of you are going through the same and distractions abound while sharing a workspace with housemates, children, and pets. Moreover, we have to contend with an increased risk to cybersecurity, given recent attacks on work-related software such as Slack and Zoom.

At this year’s swamUP 2020 conference, we were fortunate to have several customers who showcased their skillful use of our products for achieving ambitious goals. One such session presentation was delivered by Navin Ramineni, Director of Infrastructure Engineering at Salesforce.

Think of orgs with lots of data and it’s impossible to not think of Netflix. In a new Netflix Technology Blog, titled "Byte Down: Making Netflix’s Data Infrastructure Cost-Effective", their Platform Data Science & Engineering team describe their data infrastructure "which is composed of dozens of data platforms, hundreds of data producers and consumers, and petabytes of data.” At this scale, cost-effectiveness is a critical matter of success and failure.

San Jose, CA, July 14, 2020 – Organizations that embrace hybrid cloud migration projects can yield a 145% return on investment within three years, a commissioned study conducted by Forrester Consulting on behalf of Virtana has revealed. The study, which reviewed customer projects completed in the last three years, found that a composite organization achieved benefits of $2 million by adopting planning and optimization platforms, such as as Virtana’s CloudWisdom and VirtualWisdom.

Today, users and customers are driven by response rates to their online requests. It’s no longer good enough to just have a request run to completion, it also has to fit within the perceived limits of “fast enough”. Yet, as we continue to build cloud-native applications with microservice architectures, driven by container orchestration like Kubernetes in public clouds, we need to understand the behavior of our system across all aspects, not just one.

Driven by digital market shifts, organizations are adopting cloud and cloud-native technologies to deliver a better end-user experience, scale efficiently — both up and down —and increase innovation velocity. While distributed cloud architecture brings agility, it also brings operational complexity. Therefore, developing effective observability practices is all the more important for delivering a flawless end-user experience for cloud applications.