CSP Data Center Network Automation Strategies for 5G, Edge, and Advanced Enterprise Services
The state of data center automation today
What is the state of data center automation today, and how can Communication Service Providers (CSPs) accelerate the progression toward automation?
In this video that originally aired on TelecomTV, host Guy Daniels talks with Juniper’s Ben Baker and Gorkem Yigit, from Analysys Mason, about the key findings from a recent survey Juniper and Analysys Mason conducted of dozens of CSPs from around the world about the status of data center automation.
You’ll discover what the survey results indicate are the main drivers of network automation, as well as the biggest challenges CSPs are facing in the transition to an automated data center.
You’ll learn
Current CSP strategies for 5G, Edge, and Advanced Enterprise Services
How CSPs can accelerate the progress of data center network automation
How the Juniper portfolio can help CSPs manage their Telco cloud infrastructure in hyper efficient ways
Who is this for?
Host
Guest speakers
Transcript
0:04 hello you're watching telecom tv i'm guy daniels director of content we're going
0:09 to take a detailed look at csp data center network automation strategies for
0:15 5g edge and advanced enterprise services we'll be identifying the main barriers
0:21 and challenges and finding out how csps can accelerate the progress of their
0:26 data center network automation and joining me to explain more and to
0:31 discuss the results of a new global study and white paper are
0:36 ben baker senior director of product marketing at juniper networks and gurkham eat principal analyst at
0:44 analysis mason well welcome both of you gurkham in a moment will go through the findings of
0:51 the research you conducted with tier 1 csps worldwide but first ben
0:57 why did juniper commission this study well guy we have literally hundreds of
1:04 communication service provider customers around the world and our account teams are working with these companies every
1:10 day and then when you think about cloud and cloud native infrastructure again on the
1:15 juniper side some of our largest customers that are the cloud hyperscalers and we've been working with
1:20 them closely since their inception so we do think we have a good understanding of the sp data center
1:26 environment however we want to get some third-party validation of what we think we already know and
1:32 of course when you conduct a survey like this you do learn a bunch of new things about the situation at sps and
1:38 when you aggregate this information across a broad diverse range of of service providers like analysis mason
1:45 has done it helps you get a fully coherent view and we certainly take these inputs and make sure they match
1:51 what we're doing in terms of product roadmaps and finally we want to specifically dig into the state of data center automation
1:59 what are the problems that sps are having in their in operating their data centers and ultimately we think that
2:05 juniper has the portfolio to help sps manage their data centers their telco cloud infrastructure in hyper efficient
2:12 ways similar to how the big public cloud providers do it so we want to understand why are sps not
2:17 adopting some of these tools as fast as we think they should be sure okay thanks ben
2:23 so gurkham tell us about how you conducted this research
2:28 yeah sure um so over the last six seven months we collected a great amount of
2:34 inputs and data first through an online survey with 30 tier one communication
2:40 service providers csps worldwide and we also did five additional in-depth phone
2:46 interviews with them so our aim was to identify the key drivers and the trends for csb data
2:52 center strategies and particularly to understand csp's approach to data center
2:57 network automation their main drivers and challenges target use cases and the
3:02 tools they are using to automate their networks so you can see on the slide the
3:07 demographics of the csps we surveyed and most of the csp participants were from
3:13 north america western europe and southeast asia which also includes japan and india but we also had csps from
3:21 other regions as well so overall this is a global study and when we look at the types of csps
3:28 the large majority was integrated service providers with mobile and fixed networks and enterprise managed ict
3:34 services so these are typically large csps with extensive network and data center assets
3:40 and service offerings and in terms of data center size most participants say clustered around
3:47 10 to 24 data centers but we also had some csps with more than 50 or hundreds
3:53 and we actually did in-depth interviews with some of these large csps that provide global data
3:59 center services with locations spread all around the world and finally the titles and
4:05 responsibilities we have a very balanced mix of respondents here which helped us
4:10 get a very holistic view of the state of the csb data center network automation today and their future roadmaps
4:17 not only we had senior executives that are in charge of their data center strategy and transformation but also the
4:23 technical stuff such as network architects engineers operations managers
4:29 so these are the people who get their hands dirty you know with actually implementing and using data center automation solutions
4:36 well let's now look at what you discovered what did you find were the key drivers and trends for csp data
4:44 center strategies sure so there are three main drivers that are
4:49 influencing csbs data center strategies and investment focus today
4:55 so first is the new opportunities in the enterprise many services and connectivity markets
5:00 there is a major transformation underway in the enterprise market today and this is started with sd-wan sassy and more
5:08 recently csp started to add multi-cloud networking um industrial applications
5:13 and use cases at the edge and also private networks to their enterprise service portfolios
5:19 and the second is network clarification or toggle cloud especially for 5g
5:24 networks it is it's a major driver and the third are the deployment of new
5:29 edge computing locations in order to support both these enterprise and 5g services i just mentioned
5:36 so all these new technologies and advanced services are very much interrelated and complementary to each
5:42 other and they will be deployed and operated in csp data centers so csps needs really state of the art
5:48 operational efficient and programmable data centers in order for them to be successful
5:54 so these are the high-level top three drivers but uh when we asked csp is their number
6:00 one priority the majority of the csps rank 5g telco clouds is the most
6:05 important driver as you can see on the rights csps are in the process of building
6:11 their 5g networks using cloud native the segregated technologies and they're starting from their mobile core networks
6:18 for example running on centralized data centers and gradually expanding into the radio access network where you have the
6:25 vdus and the vcus and deployed in network age data centers
6:30 so this finding suggests that the csbs acknowledge the need to modernize and automate their data centers to
6:36 successfully manage this infrastructure transformation we also split the responses by region
6:42 here and one of the key regional variances that jumps out of it is the data center agenda of the majority of
6:48 the csps from asia-pacific is driven by cyber clouds but the main drivers for
6:54 csps from other regions are more evenly spread out especially for north american and
6:59 western european csps the main focus on data center investments include things like adoption of public cloud and
7:06 multi-cloud capex reduction and to lesser extent edge computing
7:11 so what is driving these regional differences in the data center strategies
7:17 so the chart i'm showing on the left uh shows the percentage of workloads that run in different environments so from
7:24 traditional on-prem data centers to public clouds and sas and this is both today and in two years
7:30 time overall the shift from on-prem to public cloud and sas is definitely underway but
7:36 it is not happening very rapidly however when we zoom into the data we see that the csp is in north america and
7:43 western europe particularly are the fastest in terms of moving their workloads to public cloud and sas
7:50 and we know that the number of partnerships between these csps and the public cloud providers have grown significantly over the past couple of
7:57 years most often for multiple aspects for their it transformations and more recently to support the joint launch of
8:04 their public edge computing services to enterprises and when we look at the chart on the right we see that
8:10 most csps in north america and western europe are reducing and consolidating the number of their traditional data
8:16 centers indeed many csps in north america such as atnt verizon canada or in western
8:23 europe bt telecom italia telefonica they all divested a large portion of their
8:29 data center assets over the last decade instead they've partnered with carrier neutral co-location providers such as
8:35 equinix digital realty and others for their data center needs so overall for
8:40 the western world while the 5g and telco cloud is absolutely important their main
8:45 data center focus is more skilled towards the adoption of public clouds multi-cloud and capex reduction
8:52 the story in the pacific region on the other hand is is a little bit different um these csps they show a stark
8:58 difference in their data center footprints footprint strategies and this is mainly due to um the historical lack
9:05 of strong presence of public cloud providers and high ip transit costs and some data localization laws
9:12 and many csps are making large investments in in growing and the number
9:17 and the size of their data centers in this region both for their itn network needs and there are some large csps such
9:24 as china telecom kddi or ntt they are competing in data center infrastructure
9:29 markets at a global scale and they're expanding their data center presence across the world however we also see that
9:36 the public cloud and the sas adoption is growing in this region and public cloud providers are rapidly expanding
9:43 their presence and service offerings in these new asian countries and we also saw that in some cases they are taking
9:49 advantage of csp's strong positions in the local enterprise markets to introduce joint offers in partnerships
9:56 with csps so in some i think we can conclude that the csp on-prem data centers and private
10:02 clouds will remain important and this is for supporting their both digital and the
10:07 network transformation ambitions but csps will need to operate increasingly hybrid infrastructures
10:14 where it network and enterprise applications will be deployed across multiple different data centers and
10:19 cloud environments well that's very interesting and gurkham what about the edge though do csps have
10:26 different strategies when it comes to edge data centers yeah it's a great question um so we
10:32 looked at edge data center investments um separately the operator's plans in
10:37 this research and by edge data center by the way we mean uh the smaller and more distributed data
10:43 centers located in csp networks such as south sides metro data centers or central offices
10:50 and in contrast to the regional variances we saw in the traditional data centers our
10:57 research shows that the many csps across all regions have very strong plans to invest in these new distributed data
11:04 centers at the edge so the majority of the csps are simultaneously focusing on both
11:10 enterprise edge clouds and this is to provide new iot operational technology or enhanced
11:16 enterprise services and also the network edge clouds to host their 5g functions such as vrand and openram
11:24 however our research and interviews also indicate that in most csp organizations
11:29 these network age and enterprise aid strategies are executed separately by different business units
11:36 today the enterprise hclouds are often based on public cloud provider stacks
11:41 and they're being deployed in regional and metro data centers and this is mainly to process certain types of data
11:48 locally and this is for security and regulatory reasons and when we look at the network hclouds
11:54 these are mainly located in cell sites or near south sides and this is to cater the needs of real-time processing
12:00 requirements of cloud-based ramp functions so there are some advanced csps are joining up or they are planning
12:07 to join up these different age strategies and deployments because there are going to be some new
12:13 enterprise use cases that require near real-time response and processing in the run but today these areas are fairly
12:22 separate activities and when we look at the number of edge data centers
12:28 the csps are planning to roll outs over the next couple of years
12:34 we see that the most csps that has an aids strategy are expecting to have between 10 to 24 h data center locations
12:42 and you may recall that that is kind of similar to the footprint of their existing traditional
12:48 data centers but we also see that there are several csps from north america
12:53 western europe and asia pacific they have more aggressive edge rollout plans with more than 50 or 100 edge locations
13:01 in the near term but of course this is just the beginning based on our general edge competing
13:06 research we expect that the age footprints feel likely to be much bigger in the long term and because enterprises
13:13 will require a more distributed edge native compute fabric that is available pretty much at every conceivable
13:19 location so this means that potentially hundreds or thousands of edge nodes in a country or region
13:25 so all this means that this sheer number and the scale of centralized and distributed age data centers will make
13:32 the data center network automation capabilities uh for managing this infrastructure even more important
13:39 okay so these key drivers and trends are for overall data center strategies
13:45 ben can you explain why data center networks and their automation are so
13:50 important yeah clearly as we've seen here data centers and cloud infrastructure are becoming increasingly important to sps
13:57 and we've all seen that as the application world is is moving to microservices and
14:03 kubernetes orchestration that the network is more important than ever to connect all these dispersed
14:08 workloads so data center networking and operations are critical uh sps are too
14:14 big and their businesses are too complex to be successful with these data center strategies that gorkham just went
14:20 through without a heavy dose of automation you know without the right tools for dc automation and
14:26 orchestration what we're talking about today just becomes a big operational mess and and sps have to learn to do
14:33 this themselves it would be a mistake to cede your strategy entirely to the public cloud providers
14:39 so given this importance gurkham what is the current state of csp data center and
14:45 network automation yes um so despite the importance of the data center network automation as band
14:52 just explained we see that the csps have actually made little progress in automating their data
14:58 center network operations so far so let me explain the results i'm sharing
15:04 now so we asked csps to rate their current level of automation for each of these
15:10 operational areas and we gave them ranges such as less than 10
15:15 10 to 25 percent 2050 so and so forth and we took the median points of the
15:21 aggregated inputs in order to assess the overall level for example um 38 percent
15:26 here means that most of the csps automated that particular area between the range of 25 to 50
15:33 and similarly 18 here means that it is in the range of 10 to 25
15:39 so when we look at these results we see that csps have made some strides in automating
15:45 relatively straightforward areas such as self-service portal integration and software upgrades and patching however
15:52 many key operational processes such as configuration root cause identification
15:58 and change validation all these remain highly manual today and csps do not really demonstrate
16:04 strong ambition or urgency to ramp up the level of automation in the near term either
16:09 we ask csps about their expectations for automation in two years time by the way which is
16:15 quite a long time for cloud and data center technologies that are likely to evolve and change rapidly in that
16:21 periods and csps expect to introduce automation to just about half of their
16:26 operational processes within this time frame and while their expectations for other key areas such as
16:32 root cause identification and telemetry are still low so all these results suggest that there
16:38 is a major gap between csps and hyperscalers large-scale enterprises and
16:45 the emerging network as a service competitors you know in terms of their current data center automation abilities
16:50 and then the future plans so we then zoomed into the day two plus operations which we found that many csbs
16:58 are facing significant challenges today and csps are generally struggling to automate fundamental day two processes
17:05 such as capacity management monitoring and assurance and service provisioning and change
17:10 so this will pose major obstacles for csbs when they are expected to meet their key service metrics such as time
17:16 to markets on-demand provisioning and slas including mean time to repair and uptime and this is especially true for
17:23 the more advanced services they're preparing to launch you know once their 5g networks and edge data centers are in
17:29 place and in our in-depth interviews uh most csps highlighted monitoring and
17:35 troubleshooting as their main pain points for day two operations and they especially highlighted the lack
17:40 of service intelligence and visibility across the multi-vendor network elements and this is due to the underlying
17:46 fragmentation of vendor proprietary data center automation tools and the data models
17:52 so what are the main barriers and challenges then to data center network automation
17:58 yes so according to our survey csvs are facing two major barriers that
18:03 are hindering their data center network automation investments and then the progress first
18:09 it's the lack of technology standardization and fragmentation in their data centers and the second is the
18:15 difficulty in justifying an opex driven business case for automation and in addition to these two barriers
18:22 our interview surfaced another barrier that is related to the data center ownership structure and organizational
18:29 mindsets so let me go into detail on each of these barriers and let's start with technology
18:35 fragmentation so many csps we talked to pointed out that their data center
18:41 networking environments are highly fragmented and very complex operates and automates and this is because their data
18:48 center networks consist of several vendors specific hardware as well as the management software tools
18:54 and there's already the existing heterogeneity of the traditional its switches and tools that are procured
19:01 from juniper cisco and arista but in addition to that ascsps cloudify their mobile networks
19:08 network function providers for taco clouds such as ericsson nokia and huawei they're also bringing their own or
19:14 partner networking components to csp data center and this further increases the technology and operational
19:20 fragmentation and in the cases where csps operates there are enterprise many service
19:26 customer environments they have additional complexity because each of these customer networks come with
19:32 different mix of network equipments so overall serving a wide range of services and use cases so i.t taco cloud
19:40 and enterprise and all these use a diverse set of underlay silos and overlay networks
19:46 makes it very difficult for csps to rationalize and automate their data center networks
19:52 as you can see on this pie chart csps often have to use multiple management and automation software
19:58 solutions and they are provided by a range of hardware and i.t vendors as well as we see the use of some scripting
20:05 tools like ansible or python and also the in-house ground solutions so all these disparate systems result in
20:13 high operational complexity and which is the main challenge um the csps associated with their data center
20:18 network automation technologies as the charts on the right shows and this is especially the case for csps
20:25 that mainly rely on single vendor automation solutions because they are typically focusing only on the
20:31 operations of their own network elements and the domains and moving to the second biggest barrier
20:38 which is the difficulty in justifying the business case for automation but before that i should explain what this
20:44 chart shows so based on the responses on the vendor technology choices the pie chart i
20:50 showed in the previous slides we categorized csps into three groups the first one is the csps that only use
20:57 third-party vendor solutions like juniper cisco and nokia and others for their automation needs and the second
21:04 group is the csps that mainly rely on in-house tools and the third group is
21:09 the the hybrid meaning that they have a mix of in-house and vendor solutions
21:15 and the reason why we did this is to isolate and understand the top technology challenges associated with
21:21 each group of csps so we see that operational complexity is the main problem for the csps that only
21:28 use the vendor solutions or hybrid environments with vendor plus in-house solutions which is what we discussed in
21:34 the previous slide but when we look at the csps that mainly rely on their own tools in-house grown tools and platforms
21:41 for automation cost and scalability are their main challenges and this may not come as a surprise
21:47 because in-house created automation requires developers and network engineers and operations people to spend
21:55 a lot of time and effort in building testing and integrating these custom diy
22:00 automation tools and the maintenance and the continuous development and the improvement of such tools can become highly expensive over
22:07 their life cycle so given the high cost of manual processes and in-house developments why
22:14 csps are struggling to build a strong business case for automation and this is because
22:20 the on-prem operations and in-house development costs are actually hidden so csp data centers serve multiple lines
22:27 of businesses and the costs are shared across these different teams and units within them
22:33 and also data center staff they often straddle multiple engineering operations and development responsibilities at the
22:39 same time so all these factors make it very difficult to have a clear-cut granular
22:45 view of the existing costs and as such csps cannot really carry out a healthy evaluation of the costs and the benefits
22:52 of new automation solutions and initiatives against the status quo
22:58 and the final and maybe the most important barrier is that csps have an entirely different mindset
23:04 to data center networking and automation compared to enterprises and hyperscalers
23:10 for example hyperscalers have a very much devops driven constant optimization
23:15 and automation approach to solve their data center problems but many csps are used to throwing more
23:21 people as human glues or they do expansive custom integrations or add-on tools to solve their operational
23:28 challenges i shared some of the quotes here that we got from the interviews it
23:33 basically reflects their their their thinking especially the first one on the left that highlights you know the
23:39 culture and the mindsets it's really fostering um these practices
23:44 and also csps have a very telecoms network-centric view most csps we talked
23:50 to about data center automation first thing they think about was network or service orchestration and
23:57 also they were thinking about things like nms ems or other tools they use in the wide area networks
24:03 so overall their automation thinking and focus is is primarily on
24:09 access networks or wide area networks and they tend to overlook their data centers
24:14 but given that the data centers are an integral part of their network transformation there is an evident
24:20 disconnect we are seeing in csps thinking between their network and service ambitions and the actual focus
24:26 they are putting in their data center network automation to support them it's fascinating thanks for that gurkham
24:32 ben what's juniper's reaction to hearing all this information
24:38 yeah there's so many important insights to unpack here in the last few slides um but but just a few things briefly the
24:44 juniper portfolio can certainly help sps here tremendously and what we've done is we've changed the
24:50 economics for an sp to build out and to operate their own cloud infrastructure their data centers and
24:57 it's really interesting how this survey found that sps fundamentally think about network automation in different ways
25:03 than an enterprise or hyperscaler does so juniper for years now you know we've
25:09 had our paragon portfolio of tools to automate the wan and we have a great solution for the data
25:15 center overlay and that's our contrail product that orchestrates cloud workloads and virtual networks and more
25:21 recently now with appstore we have a fantastic product to manage the underlay the data center fabric that we've really
25:27 focused on for this survey and philosophically appstore fits well with how juniper has
25:34 always approached the marketplace you know for example in terms of being open appstr is multi-vendor and pretty much
25:41 all sp environments today are multi-vendor and as gorkham said a lot of that fragmentation in the data center
25:48 networks is is a problem and abstract can help solve that problem and also if you think about reliability
25:54 you know historically this could be you know the one single word that you would
25:59 use to describe what drives a telco business and as it turns out reliability is is a key
26:05 founding principle of of apps and the idea that the blueprints that appstr is based upon essentially give
26:12 you reliability and consistency and this is what ultimately gives you speed of operations
26:17 and you know one of the interesting things is that that connection between reliability and consistency and speed
26:24 this is one of the key insights that we can all learn from the cloud hyperscalers who are masters at managing
26:29 their infrastructure so we bring that knowledge to the sp world
26:35 a final point here about understanding the business case for data center automation as gorkham
26:42 said the inertia of sps doing it themselves with tools they've developed in-house is tough to overcome
26:49 but but stay tuned in the coming months we're going to start putting out a lot of details around the savings that our
26:54 customers have realized after switching over to appstr thanks ben and gurkham what are the
27:01 solutions and recommendations for accelerating the progress of csp data
27:07 center network automation yeah well i think our research makes it very clear
27:12 that most csb data centers aren't really ready for the automation and agility needs of
27:18 5g edge and all the new enterprise or support changes we talked about and this
27:23 really needs to change fast so there are several things csps need to do both from
27:29 technology and organizational point of view and let's start with the easier one which is which is technology as i
27:35 mentioned before um and the benefit to it as well the high level of fragmentation and operational silos is
27:42 the really the biggest technology barrier to automation so csps need to change the way they
27:48 design and operate their data center networks by moving away from the traditional vendor-drone bottom-up
27:54 approach to a top-down paradigm and this means that csps should start from business intent and application
28:01 requirements first and the design and the choice of lower level hardware and software components
28:06 should be driven by these requirements not the other way around this is the case today and a key step towards making this
28:13 paradigm shift will be a creation of a horizontal end-to-end automation layer that collapses these
28:19 vendor-specific silos and of course every csp has a different starting point for their automation
28:25 journey and building this horizontal multi-vendor automation layer will not be an easy task especially over
28:32 this silo than the complex brownfield networks however having a truly multivendor
28:38 network automation platform will be essential for all csps in order to tackle this operational complexity and
28:43 fragmentation and as we can see here in this chart csps acknowledge that they strongly need
28:50 such a multi-vendor automation platform for their data center networks
28:55 and for the hardest parts which is organizational change there are several things to do
29:01 one of the most important findings from our research was that the cto is often the main budget holder for data center
29:08 networks not the cio unlike in many enterprises and in some csps data center
29:13 responsibility is dedicated to heads of data center network operations
29:18 so we know that the ctos typically have much greater focus on mobile and fixed networks than on data centers so the
29:26 fact that the ctos do not give strong backing to lower level budget holders for data center automation may be a key
29:33 factor behind the low priority and the low level of automation we just seen
29:38 and we dig deeper to understand these organizational and the mindset issues further
29:44 and one csp said that the complex and the continuously changing data center
29:50 ownership structure in their organization is one of the major inhibitors to their automation efforts
29:56 and another interview we mentioned that um despite having the budget to implement automation tools there is no
30:03 group dedicated to actually getting it done and the current stuff are just too busy with their daily firefighting
30:09 routines so all these issues should be addressed by c-level executives urgently as csps
30:16 are getting ready to launch their 5g and edge networks and ctos in particular should step up their efforts to
30:23 prioritize and accelerate data center automation initiatives and they need to think about how to restructure the
30:29 responsibility for data center operations so that they can be pretty much equal to other network
30:34 operations and they have as much visibility so they really need a long-term transformational automation plan that is
30:41 inclusive of all lines of businesses um it's going to be a critical part of the efforts and just going back to um the
30:50 business case issue one of the key broad block sets you know to to implement this
30:55 plan is going to be building this business case so csps really need to look at it um holistically
31:02 and this should be driven by their strategic objectives and and then the long long term plan
31:07 so and the first step they need to do is actually decomposing and mapping their data center network processes across
31:13 operations engineering and development in detail to uncover the hidden costs i mentioned before
31:20 and finally i would also add that csps might benefit from working with external partners in order to develop a framework
31:26 for this business case so that they can identify the realistic benefits and the costs of automation based on market
31:33 evidence and experience which can be really helpful to strengthen their business case all right thanks gurkham so ben can you
31:41 summarize the findings here and explain how viewers can access the white paper and also tell us what's coming next
31:48 uh yeah well you know first thank you telecom tv for hosting this session and thank you gorkham for the excellent work
31:54 we hope everyone watching has found this to be informative one of the things we're going to do
32:00 further down the road later this year is we're going to do another survey that digs down even further into some of
32:06 these key areas um but as a short-term follow-up for the audience please read
32:11 the reports created by analysis mason that delves even deeper into the the topics that we went through today and
32:17 then be sure to tune in on may 5th where we'll have a panel with analysis mason and special guests from juniper networks
32:24 to get their perspective on on all of this and finally thank you all for the audience for for listening in
32:30 well thank you ben and also gokum thank you both very much indeed and a reminder that you can download the white paper
32:36 now just follow the links below this video and as ben says don't forget to join us for our live q a panel
32:43 discussion on thursday the 5th of may just check the website for local times
32:49 and that's in just two days and we look forward to receiving all your questions
32:55 for now though thank you for watching and goodbye