DevOps Basics: What Is It Exactly?
DevOps is one of the hottest IT skills today. CBT Nuggets trainer Ben Finkel explains what it involves.
DevOps is one of the hottest IT skills today. CBT Nuggets trainer Ben Finkel explains what it involves.
One of the challenges traditional networking engineers face when starting their network automation journey is the “build or buy” decision: should I use a plethora of small open-source or commercial tools and components and build my own solution, or should I buy a humongous platform from a reassuringly-expensive $vendor.
Most of us were used to buying platforms ranging from CiscoWorks to HP OpenView (oops, Business Technology Optimization Software) or now Cisco’s NSO, so it’s natural that we’re trying to map this confusing new world into old patterns, leading to interesting discussions like the one I had during one of my workshops:
Read more ...I’ve just wrapped up KubeCon/CloudNativeCon 2016 in Seattle, WA. There’s no doubt the Kubernetes community is active and engaged, and the project itself is charging forward. As both the community and the project grow, though, what does that mean for the future of Kubernetes?
Here are my thoughts, hopefully presented in a somewhat logical fashion.
It seems to me that Kubernetes has been successful thus far because of a strong focus on the problem it’s trying to solve. You can see this in the Kubernetes web site, where phrases like “Production-Grade Container Orchestration” and “Automated container deployment, scaling, and management” are found. You can see this in the API abstractions Kubernetes uses (a pod as a group of co-located containers, a service as a stable access point for sets of pods, etc.). You can see it in the real-world customer deployments and use cases. Kubernetes seems focused on addressing the needs of container-based microservices-centric application architectures.
However, there now seem to be some efforts to push Kubernetes to support other types of applications as well. One could look at DaemonSets (which are used to ensure that a particular pod is always running on every node; useful for “infrastructure” services Continue reading
If there's a place you gotta go ... Backpack probably won't be much help.
Collecting data is only useful to the extent that the data is analyzed. These days, human Internet usage is generating more data (particularly for advertising purposes) and Internet of Things devices are providing data about our homes, our cars, and our bodies.
Analyzing that data can become a challenge at scale. Streaming platforms work well with incoming data but aren’t designed for post hoc analysis. Traditional database management systems can perform complex queries against stored data, but cannot be put to real-time usage.
One proposal to address these challenges, called Quill, was developed by Badrish Chandramouli and colleagues at Microsoft …
Microsoft Research Pens Quill for Data Intensive Analysis was written by Nicole Hemsoth at The Next Platform.
The post Worth Reading: Google quietly crosses a privacy line appeared first on 'net work.