You can construct your own management stack for your SDDC out of best of breed components. The composition of your SDDC Management Stack is up to you. But you should think carefully about how it is constructed and how the pieces relate to each other.
VMware with Log Insights and Splunk with the Splunk Analytics for Hadoop have positioned themselves as leaders for the management platform that will be the foundation of the stack of products that will be used to manage the software defined data center and the cloud. This will kick off a death spiral in the businesses of the legacy management software businesses, and ultimately create a new ecosystem of publicly traded management software vendors.
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There is a new set of tools available for Caching up and down the stack which we covered within Caching through out the Stack, however in reality where is the best place to cache data for your application and what are the ramifications of using such a cache. Recently, we had a caching problem, actually two of them. Both caused by the same thing, a lack of full understanding about what was being cached. For any application, the best way to cache is to cache in memory as close to the application stack as possible, which in our stack could be within the application, the OS, or even a hypervisor based disk cache. However, which does your application actually use?
A look at Network Automations Automate 9: Last month I wrote a post titled “Is Automation Killing the Engineering?” For this post I want to explore the idea that it is not the automation that might be killing the engineering but rather how far and good some of the 3rd party application are in pretty much doing the work for you. One prime example of that concept is Network Automations’ AutoMate 9.
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On the May 30th Virtualization Security Podcast, Michael Webster (@vcdxnz001) joined us Live from HP Discover to discuss what we found at the show and other similar tools around the industry. The big data security news was a loosely coupled product named HAVEn which is derived from several products: Hadoop, Autonomy, Vertica, Enterprise Security, and any number of Apps. HAVEn’s main goal is to provide a platform on top of which HP and others can produce big data applications using Autonomy for unstructured data, Vertica for structured data, Enterprise Security for data governance and hadoop. HP has already built several security tools upon HAVEn, and I expect more. Even so, HAVEn is not the only tools to provide this functionality, but it may be the only one to include data governance in from the beginning.
The Orchestration and Automation layer of the Software Defined Data Center is where the benefits of the SDDC is translated are translated into working applications for end users and business constituents. Every Cloud Management Platform relies upon either a script or one of these automation frameworks to provision and configure the actual end user services and applications. These solutions represent an opportunity to replace first generation automation management tools and scripts with modern declarative and model based approaches that are much more manageable and scalable.