Sterling Perrin, Sr Principal Analyst, Heavy Reading

Light Reading Webinar: The Open, Automated and Programmable Transport Network

Industry Voices Network Automation
Sterling Perrin Headshot
Presentation title slide that says, “LightReading.” Below that the headline says, “Alternate the Open, Automated, and Programmable Transport Network.”

Don’t miss this panel discussion if you’re concerned about service provider automation strategies.

Listen to this in-depth, hour-long webinar on key findings from Heavy Reading’s 2022 Open, Automated, & Programmable Transport Networks Survey. A distinguished panel will explore the practical evolution of open, automated, and programmable transport

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You’ll learn

  • Initial use cases for automation in the transport network

  • Strategies for control and orchestration in multi-vendor transport

  • Managing multi-vendor networks with coherent pluggable optics

Who is this for?

Network Professionals Business Leaders


Sterling Perrin Headshot
Sterling Perrin
Sr Principal Analyst, Heavy Reading

Guest speakers

Kent Jordan Headshot
Kent Jordan
Advisor, Portfolio Marketing, Ciena
Teresa Monteiro Headshot
Teresa Monteiro
Director of Marketing, Infinera
Joe Mocerino Headshot
Joe Mocerino
Principal Solutions Architect, Packet Optical Networking, Fujitsu
Kanika Atri headshot
Kanika Atri
Sr. Director, Product Management, Strategy and Business Development, Juniper Networks


0:06 hello everyone and thank you for attending today's webinar the open automated and programmable transport

0:12 network sponsored by sienna infinera juniper and fujitsu

0:18 before we begin i wanted to cover a few housekeeping items underneath the side view is the q a if

0:24 you have any questions during the webcast you can type your question into the q a box and submit them to our

0:29 speakers all questions will be saved so if you don't get 20 we may follow up by

0:34 email at the bottom of your audience console are multiple application widgets you can use if you have any technical

0:40 difficulties please click on the yellow help widget here you can find answers to common questions

0:47 a copy of today's slide deck is available for download in the green resources widget

0:52 towards the end of today's presentation we'll ask you for your feedback a survey is already open on your screen and will

0:58 only take one minute to complete your feedback is extremely helpful an on-demand version of the webcast will

1:04 be available about one day after the event and can be accessed using the same audience link that was sent to you

1:10 earlier today i would now like to turn the event over to heavy readings senior principal analyst

1:15 sterling perrin thanks becky and hello uh good uh good

1:22 morning good afternoon everyone my name is sterling paran i am with heavy reading and i will be

1:27 the moderator for today's webinar on open automated and programmable transport network

1:33 uh this is a part of a special larger project um as noted sponsored by sienna

1:39 fujitsu infinera and juniper and we're really excited today to

1:45 share uh actually a great deal of survey results from the project that are just

1:50 now being made available um this is the first um

1:56 launch of any of the results uh here's a look at the agenda for the next hour

2:01 and then i'll also in the next couple slides i'll give a little bit more background on the project as well as the

2:06 demographics for the survey and introduce our speakers but once i do those introductions and

2:12 introduce the project we'll go into the the meat of the survey results and have a quite a bit of discussion among our

2:18 panelists on the topics you see here timelines and requirements for automation in the

2:24 transport network cloud automation specifically uh quite a bit of of data on optical

2:30 transport in automation and then moving into optical line systems including open

2:35 line system and we should have a good 10 minutes for q a at the end so please hopefully there's a lot of questions and

2:41 hopefully you ask them and we'll get to as many as we can the project itself we do a number of

2:48 these market legion market leader projects and they have a similar format of course

2:53 different topics this one is on automation for transport networks and just to give you a sense of scope

2:59 that includes transport pretty broadly defined packet layer transport ip and ethernet optical

3:05 layer as well as a lot of focus on multi-vendor multi-domain and then on

3:10 multi-layer moving across packet and optical layers the basis of the project is a global

3:16 survey we completed that survey in may so it is very fresh results as i noted

3:22 uh it's a global survey 78 respondents in the end i'll give a little brief view of the demographics of the

3:29 the survey in a moment of course the readout is today on this webinar so thanks for joining uh

3:35 there'll also be a white paper uh coming in july i'm just putting the finishing touches on that actually hoping to glean

3:40 a couple additional insights from this webinar and put them into the paper and then there'll be a set of analyst blogs

3:46 written by me over the coming a month or two demographics um

3:54 larger operators represented uh typically for our like reading surveys as well as a geographic split of we we

4:01 shoot for about half north america half all other regions you can see the breakout there for this 100 of them

4:07 involved in network planning and purchasing or poor purchasing also all of the companies we included

4:13 are either using or planning transport automation so we really did want people kind of in the know of

4:18 of automation for transport and already had some views uh to to land on the topic so it does skew a bit more towards

4:26 um uh you know people involved in in transport automation which is great

4:31 here's our panelists i'll introduce them briefly and then we'll we'll hear from them quite a bit as we go through the next hour kent jordan representing siena

4:39 advisor of portfolio marketing uh also joined by theresa monteiro director of

4:44 marketing with infinera joe masserino principal solutions architect in the packet optical

4:50 networking um group within fujitsu and then kenica atree senior director

4:56 product management strategy and business development uh representing juniper today

5:01 so welcome all and as i said we'll we'll hear from everyone in a in a bit actually quite a bit

5:08 let me kick off the content with timelines and requirements um

5:14 looking at uh first starting with the importance of of

5:20 automation for the transport networks one of the basic questions we asked right up front how important is

5:25 automation for your next generation transport strategy it was really quite an amazing result from my view 93

5:32 of the respondents view transport automation is at least important for their next generation transport strategy

5:37 important being uh defined as automation will be used extensively but there are other factors more important

5:43 and then also combined with really uh an astounding number on critical uh 39

5:49 automation will be primary pillar of the of the network going forward we ask this type of question a lot in different

5:55 surveys and to get at 39 and critical is quite um

6:01 very unusual so this is showing that we're really hitting on an important topic here no doubt

6:08 uh time um different timelines uh so on the left is

6:13 the global results on the right is the group uh you know if you look that group that said automation was critical we've

6:19 actually carved them out in a lot of the data as um as um uh priority adopters or early

6:27 adopters and just seeing how they respond uh so this one on the global results of about a third of them saying

6:33 or exactly a third currently deployed or planned to deploy in 2022 so you know

6:38 fairly aggressive but when we carved out that priority group the 39 that said it's critical

6:45 74 of them have either already deployed automation or planned you by the end of the year so again that gives us in

6:51 looking at those results through the survey it really gives us a little bit of a sneak peek i think of where the market is going ahead

6:58 and we'll do that a bit here and also in the white paper itself um

7:04 so let me uh just kind of break into the discussion here um use cases for automation this is one of

7:10 the early questions we asked as well which of the following transport network use cases are you planning to automate

7:17 within the next two two years and you can see the list i've organized here in descending order traffic engineering

7:24 emerging uh as a top priority but also you could see at over 40 response provisioning network

7:31 inventory and configuration also scoring quite highly uh let me bring in

7:36 kanika from juniper to kick off the discussion here i guess first thoughts on how the automation use cases came in

7:43 and then secondly in terms of your own customer discussions how does the results here fit with what you hear from

7:49 customers thanks for inviting me to comment um

7:54 well first of all i'm not surprised at all given the kind of demographics that you shared are mostly people who are

8:02 already using some kind of automation or they know it's very critical and they're investing in it that's why i see some of

8:08 the more advanced use cases like traffic engineering top off their list uh to your question on you know how

8:15 we're seeing the customers um response to some of the use cases i mean i as

8:20 part of my uh job in uh you know owning the whole portfolio for automation for juniper

8:26 i talk to lots of customers and you know they don't do automation for automation's sake they they're doing it

8:33 to drive business outcomes and when i ask them what are the business outcomes that you

8:38 want to achieve basically say two things one category says well i want automation

8:46 to help me simplify those daily manual repetitive

8:52 tasks and make them so scalable repeatable high quality that i can close my eyes and rinse repeat them right so

8:58 that's one category of use cases stuff like you know software upgrades stuff

9:04 like activations testing provisioning and you'll be surprised even there you

9:10 know there's a huge role uh even for those who've adopted automation there's a huge scope to actually improve the

9:16 total time it takes right your software upgrade today takes days weeks sometimes

9:23 and then the second category of outcomes that my customers are telling me is really those complex things like even if

9:30 you throw more humans at the problem you won't be able to solve it right these are things like assuring your network

9:36 and service performance your kpis you know optimizing capacity autonomously

9:41 reducing the risk and that is sort of the second category where you see use cases like traffic

9:47 engineering where you think see things like predictive uh analytics right so i

9:52 think this reflects the responses you see here it reflects a very healthy mix

9:58 of both categories of use cases we hear about and it reflects also the stage at which

10:05 these operators are you know they always start with the easy manual stuff and then they go to the more complex things

10:13 which is also a function of how much traffic and you know how big their network is and how complex it is

10:20 yeah good good points um on the um the bit of a skew of of the

10:26 audience that responded because we did kick out companies that did not have the

10:32 five-year window to to implement automation we did not include them so this is more which is typical of our

10:38 surveys it's a bit more of an advanced view of the overall group because it's kind of self-select people that are

10:44 interested in investigating the topic already we'll want to respond um and then second of that though although i

10:50 don't show the breakout here but then when you take that critical or early adopters group then you really get the

10:55 leading edge i don't think um the leading edge group was

11:02 tremendously different from here because i didn't provide a breakout but but there were some some differences um but

11:08 this is kind of a mix of everybody and this is what what you get um joe any um

11:13 thoughts or comments uh just to bring in joe from fujitsu any thoughts or comments you wanted to make

11:19 in terms of the the grouping and breadth of use cases here uh sure uh thanks sterling and in fact

11:27 uh one of the things that i noted was technologies required in order to

11:33 implement you know these levels of automation you know key to this use case

11:39 automation is optimal orchestration automation enabled by open apis

11:46 for optimal use case operation essentially you need a combination of

11:52 optical orchestration sdn domain control analytics and mlai

11:59 and and through these uh technologies all working together you achieve that that level of

12:05 automation that that zero touch operations that uh kenika was also

12:13 reflecting in results that she was seeing all right excellent we've got of course

12:19 a lot more detail we'll go into so just one final note on this for the audience so this was

12:25 as i said holistically a survey of transport automation this was a general question automation broadly defined what

12:31 are the use cases we will dig into different areas of automation and actually i think

12:37 revisit the the use cases a bit in in different areas as we go into cloud automation or cloud cloud-based

12:43 automation in a moment and then we talk quite a bit about the optical layer uh and there would be differences but this

12:48 was the the broad brush automation and transport what are you planning and it is a nearer term window of the two years

12:55 let me uh share one more slide here on the more general broad um

13:03 uh trends and and then from there we'll dig into the cloud automation specifically uh

13:08 but on this one of course it's always important as an analyst to ask about what are the barriers to it to adopting

13:14 uh technologies and uh though the one that came up top here what are the primary barriers for

13:21 automating uh your transport networks uh generic automation frameworks slow to tailor to our needs

13:28 um ranked as the chief barrier selected by forty percent and then you can see there's really another three that um

13:35 that bubble to the top as well which are fairly closely

13:40 um aligned in percentage of response lack of in-house software expertise

13:46 execution complexity uh cost too high lack of budget though those tend to be the the top um

13:52 i don't have the breakout here but uh i did uh break out uh in in parsing the

13:58 results the priority adopters and they do have a slightly different um

14:03 skew of versus the the non-priority or kind of the not to say laggards because

14:08 nobody's quite allowed at this point but the the others group um the priority adopters really keying in on the generic

14:15 frameworks as their top challenge uh interestingly and not surprising when

14:21 we broke out by the others group the non-priority group

14:27 lack of in-house software expertise was the top one as well as lack of budget so you get a sense that this priority group

14:33 has moved past they've hired the right people they've got the budget and now what are they running into and it's this

14:39 frameworks uh challenge i don't um i'm not going to go into discussion on

14:45 this one yet i'm just putting it out here but i think as we get through other areas of discussion i think we can kind of revisit the slide in some of these

14:52 points uh as as we go through uh and i think one of those areas where the challenges may come back

14:58 uh is as beginning a discussion of the cloud automation which um i'll move into now

15:06 and um yeah so again this is getting kind of drilling down into into specific areas

15:12 so in this case we asked um does your organization plan to use

15:18 transport network automation applications from the from the cloud and here what what i did is is give the full

15:25 global results on the left and then did one of those early adopters or priority adopters versus other breakout to to

15:31 show some differences uh on the left you know public and

15:36 private hybrid uh 52 percent saying saying they would um use cloud in that fashion 31 percent

15:43 fairly high saying private cloud uh from the global resource results a bit of hesitancy to go to

15:50 straight public cloud only interestingly when we looked at the

15:55 early adopters which the orange bar on the right uh tremendous interest in public and

16:01 private hybrid 76 and much less private cloud only among them as you

16:09 compare that to to the others group so you can really see i think kind of an evolution of of

16:15 thought and maybe comfort uh kanika i know you and juniper were instrumental

16:20 in some of these cloud questions um thoughts here

16:26 i'm actually very uh positively encouraged to see these results it's synonymous with what we are hearing

16:33 and it kind of dies back nicely into your slide around barriers to adoption

16:38 if you if you think about some of those barriers right generic automation framework

16:44 not enough software development expertise too complex they are all interrelated and they're interrelated to

16:51 that idea of many of the operators trying to kind of build their own organic diy

16:58 monolithic systems that somewhat are analogous to boiling the ocean

17:04 and what's happened since is you know we actually saw another survey which

17:09 said 80 percent of these diy projects they kind of failed you know failed in

17:15 terms of delivering the first business outcomes and their management challenging the roi hey show me the

17:21 returns right so that mentality now we are seeing the management uh you know asking those

17:28 questions and saying hey instead of boiling the ocean go fast but start

17:34 small start with one problem you want to automate show me the results

17:39 go to the next and when you want to do that cloud is the best delivery model to get

17:45 there because you can get started with no overhead you know you literally just hook up your

17:51 device and you select one use case you don't have to go all in

17:56 and you know you can start running that automate just that for example device onboarding or ztp or just inventory

18:03 right pick one from that list just automate that but show the outcome in

18:09 three months versus three years so that's what we are hearing and that's one of the rationale why we are actually

18:16 seeing some of the forward-looking you know operators who've kind of been there done

18:21 that burned their hands and now they want to you know reap the benefits of the cloud

18:27 yeah interesting um that connection between the challenge of the generic framework

18:34 which which again really really came through uh in this survey and as you noted from your own um separate research

18:40 in conversations to to um how the cloud can help let me um

18:45 advance this one here and kanika i'll keep you on uh to to weigh in here so this was one where

18:52 we took those use cases um for automation and said which which ones are of primary interest or cons to be

19:00 considered first for public cloud-based uh automation and transport and you can see the audience can can see

19:06 the mix here um um i guess my my one observation i'll let you comment is my middle bullet the

19:12 cloud usage it did show a fair but not exact alignment with the general use case priorities um

19:18 any any thoughts um here on on on how these cloud use cases came up and and

19:24 how they compare and and just any um any more thoughts and then i did want to bring in another topic with you as well

19:32 yeah absolutely i mean if you think about these use cases there are mix of management plane

19:39 control plane and of course data plane so we're not obviously touching the data plane at all but

19:45 if it's really just about observing a network that's a little bit more management

19:50 or touching the network changing a piece of config here and there there is a much greater comfort level of the operators

19:59 to do those use cases from the cloud but when it comes to control layer use cases

20:04 right in the future things like network slicing um or traffic engineering you know it's

20:10 not everybody i mean that's where maybe our conversations is a little bit different from this survey and i'm

20:16 actually happier to see these results here but we do see some hesitation there

20:21 where oh okay in control plane right like is it gonna add a latency you know where are you going to

20:28 render it from so there's a lot of things that need to unblock and eventually i believe all these use cases

20:35 will be cloud delivered that is no doubt the future but i do believe there's a crawl walk run to to that stage and we

20:44 will start initially with the easier sort of management plane use cases

20:49 yeah i'm just just thinking on that traffic engineering because we've been discussing that that that a bit um

20:55 offline um you know i'm thinking it through so in my discussions uh segment routing is

21:02 definitely very tied to to traffic engineering and that you know we call that sdn we certainly call that

21:09 automation we are i am seeing a pretty strong pickup and interest in moving with

21:15 segment routing and it is coming through in other surveys i imagine when we talk about set traffic

21:20 engineering here perhaps that is part of what a lot of operators have for their um segment routing uh would you agree

21:28 absolutely absolutely absolutely like the sdn controller particularly shift to

21:33 sr is critical to this uh whole piece yes yeah and there's a number of operators

21:38 i've been talking i've just been surprised at how quickly that is moving forward from

21:44 again this is a bit more skewed towards more advanced companies generally so it makes sense that in context um

21:51 so juniper has and you've been talking about an automation as a service concept so i wanted to let you weigh in on that

21:58 to close out this section and i believe you do have a contributed slide there so i'll let you introduce the concept

22:04 define it and really just you know why is this important what's the value

22:10 yeah thank you for the opportunity uh so you know i personally and at juniper you

22:15 know we all believe that the future of automation is delivered from the cloud

22:21 uh you know the guiding principles are first speed you know automation is all

22:28 about moving at the pace of business not at the pace of internal systems and today that is one of the big barriers

22:35 right and cloud is all about moving fast it's you know quick time to market

22:40 second guiding principle is you know automation should let you focus on productivity not on production right

22:46 like so there should not be any overheads to kind of maintain manage the whole infrastructure hardware software

22:52 lifecycle you know the 25 different components from open source from vendors from your own you're basically

23:00 heavily you know becoming a software development house yourself rather than focusing on solving network

23:08 problems you are you know there's an overhead and cloud solves that i mean

23:13 that's just not sustainable right and thirdly it's the easy button right like there's a whole lot of simplicity with

23:19 cloud that you can really get to with you know with complex uh in-house

23:25 systems it's really hard to kind of make it simple and consumable so we believe the key success factors for automation

23:32 number one in the future is going to be delivered from the cloud that's why we at juniper are doubling down on it

23:38 in addition to that this whole idea of use case based right go small but go

23:43 fast and then you know move from there right don't boil the ocean

23:48 and um you know the second part is ai enabled ai is going to be an

23:54 intrinsic part of the whole cloud infrastructure the data layers the training layers are going to

24:00 be built in into that cloud infrastructure and the value of ai is multiplied you know 10 folds

24:08 when the data is coming from all the different sources which means that a problem discovered in one network in

24:15 north america would be solved even before somebody in apac sees it you know

24:20 and again all of this is anonymized so the power of ai is basically multiplied

24:26 by cloud and we believe it makes sense to do ai ops only when delivered from the cloud so that's the second key

24:33 success factor the third thing you know we believe is as part of any kind of automation solution assurance active

24:40 assurance is really critical it's almost like saying well i spotted an issue i

24:45 figured out why it happened i fixed it but hey did you go back and actually

24:51 check it worked and that's the idea of active assurance so you need to actually go back and

24:56 check and verify everything and this idea of verification has to be you know built in into automation um

25:04 at juniper we're doing that both at a hardware level as well as a software level right

25:10 and you know our active assurance solution has a component built into embedded indoor routers where

25:17 you can basically your router becomes an assurance agent right and then the last idea that is very

25:23 important for success is security and trust and that also is both you know at the

25:28 hardware uh level so at juniper we believe you have to have you know things like tpm

25:34 2.0 uh those kind of unique identifiers built in into hardware to make sure

25:40 absolutely unbreakable you know hardware out there and at the same time

25:45 top it up with as a service security trust all those things to make sure that

25:50 this entire cloud operation is absolutely uh you know safe and secure so

25:56 we are uh thrilled to drive this future uh and uh you know we'll be delighted to

26:01 talk more and you'll hear from us uh more on this very soon

26:06 all right excellent thank you um and yeah we've done some other survey data that that does uh have

26:13 some fairly strong supporting data behind uh some some of what you just brought out there so looking forward to

26:19 how that progresses let's move on um into

26:24 the the next section so we're moving into the optical transport portion we had a number of questions here

26:30 uh in the survey and so let me uh just start introducing them here and

26:35 i think we'll have some interesting discussion around these as well uh so you know really starting at the top uh

26:40 typical question we ask in our surveys what's driving automation and specifically here for

26:46 open optical networks uh what are the most important drivers for managing and automating your open optical network and

26:53 again you can see the percentages and how they came in we put them in descending order capacity visibility and

26:59 resiliency really bubbling to the top maybe bring in sienna to kick off this

27:05 discussion kent um i believe you were quite interested in this question in the survey sienna was

27:11 um thoughts on how this came back any observations yeah so these uh results really like you

27:17 said they're showing that service providers are looking for automation to really help with some of the higher

27:23 level functions in the optical network things like optimizing their capacity or improving the visibility of the network

27:31 getting better network resiliency and i can provide a few examples of how some of those things are being delivered

27:37 today so there are apps that exist to help optimize capacity across c l band

27:44 based networks that can provide time series analysis of performance measurements

27:50 from modems to be able to help service providers optimize their

27:55 capacity and if you look at optimizing things like spectral allocation within the fiber

28:01 that opens up opportunities for new applications like spectral defrag

28:06 where you can then further optimize the fiber utilization and sienna's been developing apps and features in a number

28:13 of the areas on this slide for quite a few years and network operators are

28:18 now using these tools and applications in their optical networks today with

28:24 i would say kind of the lead applications for automation uh in this area are really around

28:30 providing uh real-time visibility into how the network is operating

28:36 which is something that you know they didn't have the ability to see before and you know over time we expect these

28:43 types of applications to be used uh in new ways and in more sophisticated ways

28:50 all right excellent um i know we had a fair amount of panelists that were interested in this topic joe

28:57 uh any additional thoughts or comments on on this one sure

29:03 optimizing capacity and fiber utilization uh through automation provides just more

29:09 accurate results than the manual tuning methods the manual performance optimization uh

29:15 requires highly skilled people expensive test equipment and also manual uh

29:21 measurements uh and tuning takes just too much time uh to implement uh and

29:28 then there's also the the human error factor in collecting uh those results

29:34 um so having that that complete automation uh capability uh within your

29:41 system operations really in improves on the efficiency on the delivery of your

29:48 overall services and also regarding end-to-end network visibility and oe m automation

29:55 will simplify that uh the system operations

30:01 for life cycle management and future service editions all right excellent uh last word if

30:07 there is um teresa from infinera to bring you in um but if

30:13 we've covered it all that's fine too any final thoughts on this teresa yes i have i have two observations and

30:20 thank you for having me here um sterling um first of all i do understand and and

30:27 we hear it from customers the interest in optimizing capacity and making the best out of the resources but if i read

30:33 the title of this question um drivers for automating the open

30:38 optical network and if i focus on that open then i think the point of end-to-end network visibility is a real

30:45 critical one because when you're moving from a closed system where end-to-end network visibility is a given and you

30:52 move to open you you worry am i going to lose that end-to-end network visibility

30:58 so um i think that's uh an interesting point to keep in mind the other observation i would like to make is well

31:04 you you have there a bullet that says automated system turn up is secondary

31:09 but i've actually i was playing with some of the survey results and i filtered the results for this question

31:16 for the participants who are focusing on the optical technology

31:21 and what we see is that for those the system turn up the simplified wavelength

31:27 turn up the automated calculation of the coherent transponder parameters become much more relevant and because at the

31:34 end and they would uh go to levels as high as 45 percent or around so because

31:40 they're the ones who are undertaking their tasks therefore they understand the benefits that um automating um the

31:48 service provisioning um bring my my company good good points on both

31:56 um you've got automation of the transport network generally and then open and then keying in on open house

32:01 other kind of two to or opens a subset of overall and also a good point i had not done that filter

32:07 that was a good one uh there's many ways we can filter these results uh that i kind of keyed in on the early adopters

32:13 but that's that was a great nuance to add let me go to uh so this next

32:19 question on um optical layer functions what functions do you need from the optical layer

32:26 um and so this was kind of more general um uh

32:31 we got some strong results at the top two there ability to move capacity flexibly and then um

32:38 ability to easily connect new locations and minimize truck rolls etcetera terry assistance we've got you on um i'll let

32:44 you kick off off this one and and you know feel free to agree or disagree or add to

32:50 what i kind of bulleted out there thank you sterling so i was really happy

32:56 to see that um these results confirm our understanding that the optical layer is no longer this

33:03 static uh over-provisioned um connectivity or pipe uh set of pipes

33:11 basically where other layers run into this is not enough anymore operators need to scale fast they need to use

33:18 their resources more efficiently and they need to enable new business models bandwidth on demand network as a

33:25 service for that they need on one hand the programmable in infrastructure that

33:30 allows them to move the capacity flexibly um but but they also need the software that

33:37 supports that and and i'm going to move actually to the next slide um because

33:44 oops there we go sorry oh thank you thank you because that's actually what we call

33:51 instant bandwidth at infinera the support for pre-deploying hardware

33:56 hardware that has a very large capacity pool that can be increa incrementally

34:01 activated you activate it with a click where you need

34:06 when you need and um you pay as you grow so i think this is the type of automation solutions that um

34:15 operators are looking for when they talk ability of moving capacity around

34:20 ability of turning up new services with as little truck roles as possible

34:27 all right excellent uh let me go back on this um and then kent um

34:32 we do need to move along because there's a fair fair amount in this section but ken if you have some thoughts or observations here i'll let you actually

34:39 close this one out and then we'll go to the next question okay yeah i'll try to shorten up my response but i i agree

34:45 it's great to see that this question shows that network operators really understand how

34:51 the optical layer can help them develop a much more automated network it's not

34:57 just us that believe it but i think that you know this result shows that they believe they're not looking for a dumb

35:02 pipe optical layer that's only providing connectivity they want some value-add from the optical layer whether it's

35:09 additional intelligence resiliency ease of use or flexibility and a lot of that

35:14 can be delivered like was already said through a combination of hardware like rotom

35:21 layer zero control plane software architecting hardware so that you can minimize truck

35:28 rolls and new applications like one that we have which is called liquid

35:34 restoration that can be used to provide more resiliency without additional investment in the network and it does

35:40 that by identifying additional restoration paths for each home path in the network

35:46 including paths where you know wavelengths could be restored maybe at a lower rate to partially restore services

35:52 and help maximize you know the resiliency of that existing network all right excellent let me go to the

35:59 next one we're gonna we have a lot of good data but in the end there might be a bit too much for

36:04 one hour um managing multi-vendor networks another interesting question kent since you're

36:09 on i'll let you continue here um which of the following are part of your goals for end uh goals for managing your

36:15 multi-vendor transport networks and again you can see the percentages descending thoughts and comments on this

36:21 slide yeah so multi-vendor as you can see from the results it's a big topic and you

36:27 know it's exciting to see that there's a lot of interest in many of the the responses

36:33 sienna's working with operators in this area who want to be able to make sure that their network architecture is open

36:39 and doesn't impose restrictions on the technology and whose technology that they can deploy so typically we first

36:46 will look at things like visualization and control being able to visualize a third-party

36:52 optics across a cnn align system using an open interface like an open config interface

36:58 uh to discover topology between that transponder and the sienna line system

37:03 and then being able to control that transponder provisioning and pushing parameters into

37:08 it some of that may actually require some development resource adapter development

37:14 for example being able to use those open interfaces to set things like frequency launch

37:19 power and so on and then after we've kind of got that base visualization and control we look

37:25 at things like streaming telemetry to pull in alarm data pms from the device

37:30 to track metrics over time maybe look at specific look for specific alarms to be

37:36 more reactive and so i think we see that open apis visualization control and

37:42 analytics troubleshooting these are all important aspects of open multi-vendor networking

37:49 all right and um joe i think you wanted to to comment on this one if you can do a quick comment

37:56 uh because we've got two more in this section i want to hit hit and then cover the last section

38:01 sure in fact just drilling down into some of the technologies involved in

38:08 attaining uh you know these types of results advanced transponder

38:14 dsp technology using mlai in conjunction with the orchestrator to

38:20 simplify execution of these functions this essentially enables a real-time

38:26 capture of your optical layer metrics which then can be used uh to automate

38:32 the network uh capture uh the characteristics of the fiber uh to

38:38 optimize uh your service performance end-to-end all right excellent let me get we've got

38:45 uh yeah so then we wanted to address uh planning tools and and again keyed into

38:50 open here what type of tool you use for planning services over in open optical networking uh open optical network uh

38:57 teresa i know you contributed several of the questions or see on the infinera side

39:03 around the uh open optical thoughts or comments on this one

39:09 yeah i'll try to be i'll try to be quick and as you mentioned their operators strongly favor planning tools supplied

39:16 by an equipment vendor but on the other hand they they want multi-vendor planning tools which is all fine if you

39:23 think we're talking about open optical um planning and i think um i think

39:29 actually the the concern here and and this comes from many discussions with uh

39:34 with customers is that we as vendors are not yet doing our best to um share

39:42 details on our devices and and share them in in a uniform and consistent

39:48 manner so that so that these tools can have the

39:53 information required in particular if you want to plan networks that require high optical

40:00 performance but i think um operators are doing their uh their job doing a great

40:06 job there and pushing us vendors to go more into this

40:12 cooperative or competitive cooperative mode of uh information where

40:19 we walk the walk of open basically yeah interesting interesting point and

40:25 it does show fairly clearly that one 41 versus 28 percent is the second that uh

40:31 it is fairly strong uh finding uh let me go to the last one

40:37 go ahead sorry i just wanted the vendor basically owns the the planning solution

40:44 then and that's a better ownership than that of open source where the ownership

40:49 is uh undefined right the open source was was quite secondary there but but still some

40:56 interest uh for sure last on this topic and then we'll we'll move into the line system and then i

41:02 think we've got a little bit of debate within that section so i'm quite curious how that plays out machine learning um

41:08 so looking specifically at machine learning's impact which functions will benefit the most from machine learning

41:14 in an open optical network and three tied and it's a bit unusual but you know these are you can't get

41:20 more equal than that you could see the top three network design predictive health predictive traffic growth as the

41:26 top opportunities uh theresa to close out this section um

41:33 uh is that consistent with your discussions and and really what infinera is planning

41:38 itself it is very much consistent i would say there's lots of

41:45 complex problems in open optical where machine learning can help

41:50 offering faster solutions solutions that are more accurate maybe than the deterministic algorithms that exist

41:56 today but the killer use cases are still a bit open in the air there's lots of

42:03 discussions and proofs of concepts and we have actually a lot of white papers published

42:09 on machine learning for quality of transmission that's related to the to the

42:14 first item that you have there also machine learning for preventive maintenance

42:20 predicting the network health um also there so i think those topics are still

42:26 maturing let's say until we find the ones where there's really an advantage

42:31 in using these technologies predictive traffic growth on the other hand um i don't think it

42:38 has been talked so much in terms of machine learning obviously there are some studies

42:43 but um and i i think that's maybe because um the old um

42:50 traffic growth models that operators have been using for metro or for long haul may be changing with distributed

42:58 computing and coherent coherent going down to the edge maybe now there's a larger uncertainty

43:06 and more concern on how are the traffic patterns going to to change

43:11 now um the self-tunable transponders i'm i'm pretty sure and actually i've looked

43:17 into it if you also again select the the participants the

43:22 respondents who are um focused on optical technology that also becomes

43:28 another contender for uh machine learning as as significant as the others that that would be my remark

43:35 interesting interesting i'll certainly parse it that way when i um complete the report part good observations let's move

43:42 to the last section uh we are running a bit behind but um

43:48 joe on the online system i know fujitsu was interested in several of these topics i'll let you kick off this one

43:54 the most important drivers for deploying a new line system this was my view curious what what what

44:00 your thoughts but you know certainly savings and capacity are the typical drivers that we see in optical

44:06 networks to move forward open architectures came in third but not a weak third it's it's it's definitely

44:12 third but it wasn't the primary driver thoughts on on how these played out joe

44:19 excellent points uh that were mentioned here and i i essentially see two technology areas that address uh these

44:28 uh important drivers for deploying a new line system uh essentially new amplifier

44:34 technology and the use of both c l bands in the new amplifier uh

44:41 techniques uh that are offered uh minimizing relative intensity noise or

44:47 rin uh reducing the cost per bit per kilometer

44:53 along with offering higher gsnr this means a higher order modulation

45:00 essentially more bits per hertz can be used within the spectral with enabling

45:07 and overall fiber capacity increase or better utilization of the fiber

45:13 use use of the l-band although the the l-band has uh traditionally

45:19 not been as cost-effective or as widely deployed as the c-ban on uh the rotom or

45:26 line system its strong transmission characteristics have made it an ideal uh complement to

45:34 c-band for expanding system capacity and instead of using add-on modification

45:41 to the existing optical line system a new continuous c

45:47 plus l system using a single wss

45:53 in the rotom will simplify operations uh eliminate any potential blocking

45:59 essentially also providing a major cost savings uh by uh basically having the

46:06 amount of equipment needed uh to implement the optical line system

46:12 yeah good good point on cnl and incapacity we're certainly seeing that as well let me uh

46:18 go to to this one and then we've got two more after this to close out uh operational challenges joe i guess we'll

46:25 let you uh hang in to weigh in on this one the most difficult operational challenges when planning deploying

46:31 anything greater than a two degree uh optical line system uh really yeah big big one uh showing here lack of

46:38 modern planning tools is a major challenge this quite clear finding um i'm assuming it's consistent with what

46:45 what you're seeing but um what do you think absolutely and in fact to overcome

46:52 these challenges we begin with open apis along with the combination as

46:57 i mentioned earlier in the webinar optical orchestration sdn domain control and intelligent optics

47:05 offering analytics and mlai this combination will offer

47:11 real-time wavelength optimization uh simplifying planning installation and

47:18 ongoing operations uh this combination of technology will also

47:23 reduce the dependence on highly skilled technical staff through uh efficiencies

47:29 uh that can be implemented as well all right excellent and then let's get into where

47:34 two of the the interesting i mean there are many interesting ones um i particularly found this one

47:40 interesting and i think you guys did as well uh moving into open line system

47:45 architectures um which are operators planning to deploy 47 saying open line system with a single

47:52 vendor with multi-vendor uh coherent optical network in the interworking this is

47:57 really a mix and match of transponders being preferred by this group um and then second but fairly distant open line

48:04 system from a single vendor with a bookended approach um i'm a bit well somewhat surprised by this but it is

48:10 fairly clear kent uh from uh sienna i'll let you

48:16 give the uh kind of the leading view on this one um thoughts and comments and um

48:22 is it was this a surprise for you yeah i think these results are pretty interesting i mean they show that

48:28 there's a lot of excitement and willingness to deploy multi-vendor

48:34 coherent optics and so i'm a little surprised at the result without knowing more behind the data because you know

48:41 it's uh typically much easier to deploy that middle option and we've seen several service providers that

48:48 have made announcements that they are deploying that uh partially disaggregated model and we

48:54 have many customers that are deploying that that one that's in the middle of the chart so the partially disaggregated

49:00 bookended transponder model of course you've got things like oif 400 zr

49:06 with interoperability that's available so that could be driving some of the result but ultimately

49:12 moving to that top option may mean some extra integration work that will need to be done and at

49:19 the end of the day you know from a vendor perspective we support all three models and we have customers that are

49:25 interested in all three we have coherent optics that do offer that interoperability

49:31 um whether you want to do that or the bookended transponder but i think it's going to be interesting

49:36 to see how many operators actually do adopt and deploy that first option over

49:43 you know the second option yeah good good point teresa i don't know if you did your your optical specialist

49:50 analysis on this one but um you want to weigh in on on how these came in

49:56 i do so um optical experts um support the fully disaggregated open

50:03 line system with full interworking only only six percent of them support that

50:09 approach and i think i mean that's clear it's them who have to make it all work

50:14 and come together nicely so but thank you for sharing

50:20 so the overall company may it may have interest but the optics group is saying this is going to be a

50:26 tough a tough yeah interesting joe any any last word on this this slide then we

50:31 have one more uh that's another interesting topic to hit sure sure and and we can see from the

50:36 survey results that network providers are still split on what shade of open to use and you know

50:43 single vendor ols multi-vendor coherent optics it it it's optimized for metro uh

50:50 you know metro works best in this environment you you still require interrupt testing uh but then

50:57 there's also the service impact of uh troubleshooting challenges uh that one

51:02 can expect on on that second point uh a single vendor open line systems with

51:08 bookended transponders i see this as optimized more for long distance networks uh having that book ended

51:15 transponder where uh the effect long distance performance

51:20 uh is achieved through you know that those bookended optics

51:25 all right excellent let's uh close out with this one um which could be it's and has been its own

51:32 topic of a full webinar but on this one what are the challenges managing coherent plugable optics um which is

51:39 really referring to the ipo over dwdm architectures and the biggest one at least for the full survey group was

51:45 maintaining the existing operational practices of these um separate groups um

51:51 joe i'll let you close out on this topic

51:57 thank you uh while economically appealing uh to first class uh you know

52:02 the uh it essentially opens the door to adversely impacting existing operational

52:09 practices uh affecting mttr performance qos and potentially

52:17 service availability as well as the cultural and organizational challenges uh that tend

52:25 to weaken business strategy i i see you know we see a way around this uh

52:30 as this challenge it's to essentially coordinate the the optical and ip

52:36 controllers uh in that the optical controller manages pluggables like a

52:41 transponder end to end uh the optical controller uh provides open apis uh like

52:48 tapi for example uh to the layer 3 controller and then the layer 3

52:53 controller maintains ip routing with knowledge of the end to end optical

52:58 connection all right um you know what maybe ken i'm just thinking that uh on infinite side

53:05 on on sienna's side that you've certainly done a fairly broad um

53:12 foray into the plugable optics given and also given your comments on the last question any insights um to to add on on this

53:19 particular one and then we'll go to q a yeah so i think uh you know i don't want to downplay these challenges because i

53:25 think some of them really are challenges and you know many network operators

53:30 service providers are definitely seeing the potential benefits of converging their ip and optical layers instead of

53:37 operating in traditional silos however you know many of the platforms so the

53:43 the routers and switches uh that the coherent plugs are being put into don't allow or enable open northbound

53:51 interfaces to allow third-party management of that plug so if you don't access that

53:57 plug you can't manage it and you need basic information to be able to manage the network like it's done today

54:03 without taking a step backwards and as an industry you know we've made a lot of advancements with respect to open

54:10 opening up the line system you've seen a lot of that in the presentation today gaining visibility to what's happening

54:16 in the network and if you put a plug in a router you don't want to lose that capability management needs to be

54:22 on par with what you're doing today you know where you're where you're doing things separately so

54:29 i think the second piece is in addition to that base management network operators also

54:34 want to take advantage of any of the dsp technology advancements that are going into those plugs and again not having

54:42 access to the data that's coming out of the you know performance data that's coming out of those modems in those

54:48 plugs is a barrier to getting to that detailed optical performance analysis which is

54:54 one of the the challenges here so getting direct access for the controller

55:00 uh to the coherent plug through an open northbound interface enables both the base management of that

55:07 plug and also lets the operators get you know a maximum roi on their optical

55:12 investments so i think you know these challenges there is some work still to be done here

55:18 right right these things don't happen um you know a lot of times that the timeline is the wishlist is a year out

55:24 but they tend to take a lot longer for these big mega trends let me um we have a few minutes left for q a um we

55:31 did have a lot of content there's actually more in the survey and this is just a fraction of it so there's a ton of data

55:37 in here but let's get it to a couple of the questions um uh maybe uh kenika let me um there were

55:45 actually a few questions that did come in around the automation side early on let me bring you back in

55:52 um question are there specific wan dominance when domain slash roll is there a

55:59 specific when domain where automation is more critical than

56:04 other parts of the network so i guess where where is um specifically in the network where is

56:10 automation going to play most most heavily in your view

56:15 yeah i think that's a great question uh i mean specifically if you look at the traffic patterns metro is the home uh

56:22 it's kind of the new edge right uh that's where all the service distribution is going to happen off from

56:28 that's where much of the traffic uh patterns are changing you know easter

56:34 east west the complexity the scale is growing so you know we think automation build out

56:41 uh with cloud metro goes hand in hand really well the other

56:46 new domains where i feel like you know where the next new technology introduction is happening that's all

56:53 going to be automation led meaning automation not as an afterthought but

56:58 really right from the start examples being i think integrated optics is one of them i think we talked a lot about it

57:05 right things like scale out um you know fabric scale scale out

57:10 fabrics in in the van uh site um png cups and and you know some domains

57:16 so some of the new domains uh but right now i mean i definitely see metro as the biggest opportunity to go

57:23 in with automation first all right action let me go to um this was an interesting one um and

57:31 actually i've done done a bit of work on this um question came in uh will digital twins

57:39 help the automation process um joe i'll let you you um give at least

57:46 the initial response on this but i do think it's an interesting question george thank you

57:52 darling so yes absolutely delivering digital twins of the network helps

57:58 simplify a full life cycle of system oe m and future service editions

58:06 optimizing capacity improving uh network availability and essentially minimizing

58:12 your your capex all right excellent um yeah we i did a

58:18 white paper around uh just just that very thing specific to uh research man

58:24 management which is one of the early identified here early use cases of interest uh

58:29 question on um and we got about two to three minutes

58:35 left so uh for the audience you know you you can certainly ask your questions if we don't get them uh our our panelists

58:42 are going to be happy i'm sure to follow up individually but we do have some great questions in

58:47 um how do you prioritize combine the development of the programmability

58:52 of the network versus development the new features in your own network management system interesting and i'm

58:58 sure relevant for many ken i'll let you let you take this one yeah i think this one's yeah yeah i

59:04 think this one's pretty important because automation is increasingly a key business challenge that service

59:10 providers are focused on and from a development perspective you know operational features and

59:16 functionality is a key aspect that we as a vendor are focusing on developing but

59:21 we've got to you know closely align the programmability flexibility

59:26 capability of the hardware and software on the network elements with you know the capabilities that are

59:33 being developed uh on the network management system and

59:38 even things like being able to do uh testing more quickly by like let's say

59:44 doing your integration testing in the cloud can help with some of this speeding up you know adoption of new

59:51 um features and functionality for automation so you can actually do

59:56 now testing on virtualized network elements that are running the same software that you would have in the real

1:00:02 network so if you've got you know testing being done in different countries or time zones

1:00:08 that'll help speed up that testing so you can deliver you know new services based on these uh new features quicker

1:00:16 all right and we are at the top of the hour i'll close out with one last question um

1:00:21 uh infinera teresa i'll um i'll let you close out uh the q a with this one um

1:00:28 because i don't think i let you comment on this area so much when uh when uh when we were kind of wrapping up

1:00:34 um why is the management of coherent pluggable any different from um

1:00:39 the current optical management again some of that may have been addressed but but there is a question in and if you

1:00:44 want to add uh to that discussion um i think you know you thank you that's

1:00:50 actually that's a question where it's hard to be short but i'll try um so if you're if

1:00:57 you're um using a traditional optical network with transponders your transponders will have a very rich

1:01:03 interface that's specific and dedicated to optical management and functionality

1:01:09 with plugables your management is typically done with protocols like cmis

1:01:15 which are registered based and and very narrow in scope even though they're evolving um so from that already from

1:01:22 that point of view the functionalities that you have accessible are different and we you don't want that your

1:01:29 management is is actually blocking the evolution of functionalities that your optical pluggable more and more

1:01:35 sophisticated can deliver um so that's one concern the other concern is

1:01:41 if you go through the router to access the pluggable typical you you'll interface with a ip

1:01:49 controller while usually in an optical network you have an optical controller um that also introduces um some

1:01:56 subtleties in the management and and maybe impacts in mode of operation but i think actually that there's a great um

1:02:05 a specification that was published yesterday just by chance by the open xr

1:02:10 forum on a management

1:02:16 approach to coherent optical probables that complements the traditional

1:02:22 management protocols i invite everyone to go and check it it's worse to be read

1:02:28 i did see that out i haven't read it yet um i was gonna to make a comment and you

1:02:33 you kind of let into it that you coherent optics one of the trends we're following is it's mo of course it's starting the long haul it's moving more

1:02:39 and more closer to the user over time xr optics is one example of that but but

1:02:44 there are other areas as well and it's a big area of research for us is how far coherence is going to go at what data

1:02:50 rate um with that we are past the hour i appreciate everybody for tuning in uh

1:02:56 thanks for your great questions uh we will follow up with the white paper and please look out for it when it's

1:03:01 completed in july which has a lot more detail and of course thank you to our sponsors and to our each of the speakers

1:03:08 today for your insights and of course for helping out this entire project thanks everybody

1:03:14 thank you

1:03:52 you

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