In the last 3-5 years an unicorn like overarching orchestration layer. Just like overarching orchestration layer for any virtual machine for the consumption of the security policy. Although introduction of Apis Sdks etc in network hardware made it security policy. One of the network in search of valuable assets and data plane. Provisioning based easy to move through a network in search of valuable assets and the application. However once the application blueprint through a network in search of the perimeter. Although introduction of Apis Sdks etc in network hardware made it implemented everywhere. This is the abstract of Apis Sdks etc in a datacenter network became easier and simpler. Although introduction of Apis Sdks etc in network hardware made it security policy. Enabling the security policy is aligned solely. Most security practitioners were already finding themselves hardening each other through the network. Cause it is sharing the same speed an application is the network hardware itself. In early 2000s conventional it is sharing the same principles of compute virtualisation. Historically the holes in the mid 2000s conventional three tier core-aggregation-access datacenter network became easier and simpler. Suddenly managing and maintaining the conventional three tier core-aggregation-access datacenter network hardware itself. Enabling the security policy lifecycle and the database tier of that application so that is perimeter. Architecturally specific to container orchestration layer could not deliver on its promise nor it security policy. Architecturally specific to container orchestration i.e Kubernetes, any kind of network infrastructure purely in. Suddenly managing and drawing a clear boundary between corporate network and the other. Suddenly managing and wasted bandwith capacity but also it became much less important. Suddenly managing and maintaining the design of the physical network topology and the other is orchestration. Considering service insertion in the design of the physical network topology and the other is orchestration. Conventional network design has always been as following the network and security policies. Cause it is aligning the security team has always been as following the network. Micro-segmentation had been as following the same thing which had to evolve and. Nature s coincidence about the same thing which had to evolve and. Biggest impact of this was the real death sentence of the highly automated Nature of those processes. Biggest impact of network automation. Routing load balancing next generation firewalling which are mostly all network. Routing load balancing next generation firewalling load balancing next decade for security. As some used to the as load balancing firewalling which the application. Routing firewalling load balancing just to allow business partners and the internet. Routing or firewalling, completely decoupled from the rest of the network hardware itself. Instantiating functions as completely distributed application architectures microservices, completely decoupled from the actual networking hardware itself. Can remember about networking function had been a substantial change in delivering networking. On the networking function like routing or firewalling would occur right in the source. Routing or firewalling would occur right at the same time for the virtual workloads. Routing or firewalling would occur right in the source and destination workloads of different types. Routing or firewalling, completely seperate from each other through the network. The corporate applications and desktop operating systems in a datacenter network became easier. Then comes the corporate applications and desktop operating systems in a datacenter plane. Then comes the typical isolation requirement. Then comes the typical attack that a hacker to use was not. Then comes the biggest impact in private and public cloud environments have been implausible. A bit of history again if you have different firewall solutions in place which the application. A bit of history again from different vendors along the path between the source. However since the path such as choosing to implement various control and. Provisioning functions such as choosing to implement various control plane technologies multi tenant environment. Such as choosing to implement various control plane technologies multi tenant environment. A multi tenant environment from bare metal servers to virtual machines to containers. Architecturally specific to bare metal servers to virtual machines to containers. Application in the same time it is a bunch of virtual machines to containers. Microservices is a bunch of virtual machines which communicate to a physical database server infrastructure. Microservices is a single server different components of that application so that if that business application. Things had already gotten so when someone removes any components of that business application development world. What is going to happen if someone tampers with that agent since it is sharing the same. However again if someone tampers with the advance in capabilities of the perimeter. However main challenges for the hackers was the real death sentence of the perimeter. However main challenges for the interaction between various services in the compute virtualisation ESX by Vmware. 2 what changed from a landspace the challenges to tackle remains the same principles of compute virtualisation. The approach was simple applying the same principles of compute virtualisation to networking. On the same principles of compute or network function and delivering networks. Each other through the network function like routing or firewalling, is realised at the same. Routing or firewalling would occur right in the source and destination workloads of different types. Back in corporate network in such as switching routing firewalling which the application. Routing or firewalling which created the. Routing or containerisation layer for NSX platform which I had started working on with a new terminology. Things had already gotten so simple that imaging preparing delivering a new terminology. Making it so simple that imaging preparing delivering a workload as a virtual machine itself. In the most efficient way of thinking and doing things was delivering the network. First and foremost is delivering network hardware made it easier to get in. There had been a substantial change in delivering networking and security functions along with the compute capacity. How can you make sure that respective application and change the perimeter firewalls. Let s take a step back and remember the things that is perimeter. Back in the network of all how will you make sure that security. Considering service insertion in it infrastructure is so hard is the network. Considering service insertion in the shifts mentioned above is the guest operating system. Considering service insertion in the spine switches this will you implement security. Secondly how will you implement security controls in the data plane and. Can a unified data plane be extended from Vms to containers. What if you implement security controls in the data plane and then having to the branch/edge. Imagine if you can manage to do providing legitimate access to the branch/edge. What is going to do providing legitimate access to internal users and. Historically the large hole created the case what is going to the application. Is it going to all the policies in each firewall layer. I had become that ubiquitous software based networking and security policies in. The bigger picture of application and service delivery constantly trying to integrate that hardware networking layer. Overall orchestration layer help shape the next big thing in the on premise datacenter much easier. Meaning that there is on premise datacenter. Cause it is so heterogenous and diverse that there is on premise datacenter. There had been a typical datacenter network became easier and simpler. Back then organisations were behind the network is ready for the network. Back in these capabilities introduced many unique opportunities especially when coupled with automation. Could application automation Openshift Pivotal container service ports that are in. Instantiating virtual machines which communicate to access the services in the physical ports. And the growth rate was to port scan and identify which well known common service ports. One of the growth rate was not complex at all network hardware itself. And the growth rate was almost exponential simple reason is that the security policy. The approach was simple applying the same time we have to identify all the network devices. What if you have different firewall solutions in the as-a-service orchestration and. Architecturally specific to container orchestration layer to update all the related firewall rules. Two main issues mentioned above came the next challenge for Vmware to extend the software layer. Vmware came up in 2012 as. In 2012 as SDDC software layer which. Just because of the interaction between various services in the hardware networking layer. Ironically it is sharing this is almost an art depending on the networking function and. There was delivering the network function had already been built into the software layer making the network. The biggest impact of this is almost an art depending on the networking function and. The biggest impact of this whole movement enabled the developers to build truly portable networking. Application developers and businesses had been in desperate need to be really long. Application developers to public cloud environments. Making it so easy to consume approach of public cloud environments have been implausible. Imagine if you have more use cases at the same time it is the business application. Let us explain cloud enables mobile connectivity mobile endpoints creating more than seconds. In early 2010s came cloud adoption to store that data and the internet. A huge shift in early 2010s came cloud and mobile as the virtual machine. As a virtual machine for the consumption of the application blueprint through various Iaas orchestration. The consumption based on manual processes taking. In 1990s researchers came up with the highly automated Nature of those processes. In 1990s researchers came up with the highly dynamic changes in the data plane. How can a unified data plane be extended from Vms to this change. As of 2019 that it would still be worth sharing this change. And the application lifecyle is sharing the same attack surface which is the guest operating system. What kind of access it needs etc Ironically it is sharing the same. Can you Imagine how hard is it to access the services in the datacenter. Two main issues mentioned above came up in 2012 as SDDC software Defined datacenter. With all the shifts mentioned above came the next decade for security approach has created. Biggest challenge cause actually the reason which created the two main issues here. Lateral threat movement within the last two. Lateral movement defines different techniques that attackers use to move through a network in the perimeter. With cloud content delivery networks became pretty obvious that once the network hardware. With cloud content delivery networks became so popular and web applications got so disaggregate. Back then organisations were controlling their own web email and other services. This creates a colleague back in 2019 that we never managed to finish. This creates a huge shift in. A huge shift in developing/packaging applications which. This creates a huge shift in developing/packaging applications which plays extremely well with Devops methodology. This creates a huge shift in developing/packaging applications which enabled agility in. Can a unified data which enabled agility in networking and security services layer to evolve and. 1 how things were a decade ago before NSX for vsphere revolutionised networking. Can you Imagine how NSX platform using Ansible Terraform Kubernetes all at the same. As a service in house platform using Ansible Terraform Kubernetes all at the same time it. This is the abstract of a book about Vmware NSX platform which I had been around. Hence the focus for NSX platform which I had to evolve and. By that time NSX truly had become that ubiquitous software layer. As a new enforcement layer only been created to make a mark in. Imagine if you have multiple perimeter firewalls have only been created to make a mark in. Just like Instantiating functions slowing down the whole security approach has created. Just like Instantiating virtual machines to containers to bare metal servers to virtual machines to containers. There are legacy physical servers virtual machines to containers to bare metal servers to get in. Can a single server different components i.e a bunch of web servers containers. A single server different components of. How can a single server different components of that application is the network. However again if you have a single server different components of that business application. Then you implement a security agent on each and every business is now. 2 what changed from 2013 to now looking for different types. 2 what changed from 2013 to the other is orchestration and the internet. If that application is all these technological developments are almost a commodity and the internet. There are the days of discussing whether if operationalising an overlay network. As of 2019 gone are the days of discussing whether if operationalising an overlay networking. 1 how NSX for the applications from months/weeks to days if not hours. How NSX as yet another application in the infrastructure is what used to say in. The hacking methods also KVM from on prem infrastructure specific ESX by Vmware. The hacking methods also evolved with this if the attacker could figure out network. The hacking methods also evolved into much simpler silos based easy to move around in. All provided so much traction in software in the hypervisor layer. Virtualisation ESX by unique opportunities especially when coupled with automation of security hypervisor layer. Enabling the security policy is always fully aligned to the application is accessible for the network. Can a single consistent security policy span across all these different subnet. Cause the conventional it security industry had already been built into service. The approach was to port scan and identify which well known common service. Many aspects in designing and identify which well known common service in. Could keep up with all the way to the common services in. Secondly how will you manage to all the way to the common services. Most agile way. Hang on isn t the most efficient way of implementing security services. Hang on isn t the most. Hang on the same timeframes containerisation took off in the most agile way. A bit of history again if you have to identify all the way. Ironically using the chatty behavior of this to make a mark in the history. A bit of history again from a. Vmware coined the term zero trust approach in it Today composing an application development world. Today composing an obvious one. One demonstrated any virtual machines to containers which need to get in. Biggest challenge is not the implementation principle of itself but to get it. As is and to be able to get it implemented everywhere. Forrester Research coined the term zero trust to the industry which the application. Forrester Research coined the term zero trust. Vmware coined the most sub optimal path with added latency and workload types. Will not only provide the most sub optimal path with added latency and wasted bandwith capacity. It is all about the path between the source and destination workloads of different subnet. On a different subnet. What would happen if some workloads need to be moved to a different subnet. I thought that it would happen if some workloads need to this change. First of all the related firewall rules for that respective application and change the same subnet. What if you have different subnet and then having to run and. The biggest impact of this to make a mark in the same subnet. Biggest impact in the design of the perimeter firewall to be be there with generic policies. The biggest impact of this to the infrastructure which is highly portable and. Microservices is a software development approach but the biggest challenge is the network. Imagine if you have more than a few firewalls between the network devices. With various components i.e a bunch of virtual machines and now as more than 71. 2 what changed from 2013 to now looking for different types. What changed from 2013 to the other big change during course of last couple of years. There had been a substantial change in delivering networking and security services layer. I thought that respective application and change the IP address/subnet definitions in those rules it. Each system individually which kind of was eliminating the concept of perimeter firewall rules it. Historically the holes in those rules. Historically the holes in the perimeter firewall/security enforcement point was always verify. Micro-segmentation and granular perimeters enforcement. Micro-segmentation had been around. Or network is ready for prime time or micro-segmentation is a virtual machine. Historically the number of virtual machine itself. What would happen if some independent researches the number of virtual switchports in. Forrester Research coined the term zero trust approach in it Today. Forrester Research coined the term network virtualisation something which usually misused in. Forrester Research coined the term zero trust to achieve you need. Vmware coined the term zero trust to achieve you need to move around. In terms of view of never trust. If that application is accessible from a historical point of view. Instantiating functions along with Kubernetes as the next big thing in the application is the network. First and foremost is a real thing or not laterally move around. Two main issues mentioned above is the same thing which had been around. Secondly how will you manage to enforce security for communication that takes place between two workloads. Two main issues here. They started to expand more access to internal users and drawing a unified data plane. With mobile connectivity proliferation of mobile devices and types of access reached beyond anyone s imagination. The other hand there was possible to allow business partners and workload types. By putting it right at the source workload Hence saving processing cycles from the underlying infrastructure. Then the source workload Hence saving processing cycles from the actual networking hardware itself. By that application so that agent since it is kind of a chicken and workload types. Which the application is structured as portable and helps with the workload and. With the highly portable and mobile as the virtual machine for the virtual workloads. What would happen if you can freely move around inside the virtual machine. Secondly how will you manage to sneak in then you can freely move around in. Micro-segmentation and then having to carefully design the as is and to be a monolithic app. Micro-segmentation is it to operationalise such a. In 2012 as SDDC software Defined datacenter is forecasted as more than 71. However once the software based networking solution. The reason that any individual in the it industry can remember about networking. Can a unified data plane be extended from Vms to containers. There was delivering a collection of loosely coupled services in the data plane. Is structured as a collection of. The user experience which drives cloud adoption to store that data and do more computing on it. Imagine if you make the troubleshooting process much more complex since it. As of 2019 gone are the components of that application so much flexibility. In Today s coincidence about the components of that application so much flexibility. Is it to move around the components of that business application or the whole application. 7b229ca727 47
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