Black Friday (24th november) and Cyber Monday (27th november) 2017 are approaching. Online retailers all over the world are preparing for one of the busiest and, hopefully, most profitable weekends of the year by creating marketing campaigns, looking over store performance and doing capacity planning for their IT infrastructure.
Goods for $3.3 billion were bought on Black Friday 2016 alone. Considering that holidays like this make up a big part of many retailers yearly revenue, it stands to reason that this is one of the days when ecommerce sites just have to work.
In this short paper, we touch upon how the high demands in a carrier grade telco environment makes it necessary to work proactively with service management in a network function virtualization (NFV) scenario. Predictive analytics and automation can be used as a way to increase performance and availability of business critical virtual network functions (VNF:s) and we show how Elastisys solution is positioned to help service providers achieve that.
Elastisys is going to SDN VNF World Congress, the world’s meeting place for Network Transformation, NFV+SDN & Automation for 5G, Transport & Cloud in The Hague between 9-13 October.
Software-defined networking (SDN) and Network Function Virtualization (NFV) in telecommunications is all about virtualizing carrier networks and mission critical functions both in core networks and on customer premises.
Elastisys research background in distributed systems and long experience of buildings system for managing business critical cloud workloads makes us well positioned to help communication service providers transition to this new paradigm of virtualized and software-defined infrastructure.
Our software provides the next generation of proactive and automatic management of virtualized network functions for improved availability and performance of services in telecom operator’s networks.
If you are going and would like to meet up, contact us!
Today, computers master speech recognition, can provide help desk functionality, and even operate self-driving cars. Machine learning and AI have greatly improved automation across many industries, but ironically, use of such techniques are not widespread in IT operations.
At Elastisys, we believe that large scale IT infrastructure should operate autonomously. The self-driving data center should collect and analyze operational data, and based on the derived knowledge steer operation to ensure performance and robustness. With self-driving IT infrastructures, operation teams can focus on high-level business goals and have the systems figure out lower-level operational tunings themselves. Tedious and potentially dangerous tasks based on reacting to lower-level monitoring can be replaced by strategic decisions. These concept is sometimes referred to as self-* systems that configure, heal, optimize, and protect themselves.
We argue that the time for this to happen is right now. The great improvements in AI technologies and toolkits combined with the automation brought by the DevOps movement makes now the perfect time to build self-managing IT infrastructures.
If you want to discuss this topic more in-depth and listen to some examples and lessons learned from our work, come join us at OpenStack Nordic. We would love to see you there and discuss the future of IT infrastructure automation.