Cloud Infrastructure Archives - Page 7 Of 9

You are on AWS, Azure, or Google’s Cloud. But are you Transforming on the Cloud? | Blog

June 3, 2019

There is no questioning the ubiquity of cloud delivery models, independent of whether they’re private, public, or hybrid. It has become a crucial technology delivery model across enterprises, and you would be hard pressed to find an enterprise that has not adopted at least some sort of cloud service.

However, adopting the cloud and leveraging it to transform the business are very different. In the Cloud 1.0 and Cloud 2.0 waves, most enterprises started their adoption journey through workload lift and shifts. They reduced their Capex and Opex spend by 30-40 percent over the years. Enamored with these savings and believing their job was done, many stopped there. True that the complexity of the lifted and shifted workload increased when they moved from Cloud 1.0 to Cloud 2.0, e.g., from web portal to collaboration platforms to even ERP systems. But, it was still lift and shift, with minor refactoring.

This fact demonstrates that most enterprises are, unfortunately, treating the cloud as just another hosting model, rather than a transformative platform.

Yet, a few forward-thinking enterprises are now challenging this status quo for the Cloud 3.0 wave. They plan to leverage the cloud as a transformative model where native services can be built in to not only modernize the existing technology landscape but also for cloud-based analytics, IoT-centric solutions, advanced architecture, and very heavy workloads. The main difference with these workloads is that they won’t just “reside” on cloud; they will use the fundamental capabilities of the cloud model for perpetual transformation.

So, what does your enterprise need to do to follow their lead?

Of course, you need to start by building the business case for transformation. Once that is done, and you’ve taken care of the change management aspects, here are the three key technology-centric steps you need to follow:

Redo workloads on the cloud

Many monolith applications, like data warehouses and sales applications, have already been ported to a cloud model. You need to break the ones you use down based on their importance and the extent of debt in terms of the transformation needed. Many components may be taken out of the existing cloud and ported in-house or to other cloud platforms based on the value they can deliver and their architectural complexity. Some components can leverage cloud-based functionalities (e.g., for data analytics) and drive further customer value. You need to think about extending the functionality of these existing workloads to leverage newer cloud platform features such as IoT-based data gathering and advanced authentication.

Revisit new builds on the cloud

Our research suggests that only 27 percent of today’s enterprises are meaningfully building and deploying cloud-native workloads. This includes workloads with self-scaling, tuning, replication, back-up, high availability, and cloud-based API integration. You must proactively assess whether your enterprise needs cloud-native architectures to build out newer solutions. Of course, cloud native does not mean every module should leverage the cloud platform. But a healthy dose of the workload should have some elements of cloud adoption.

Relook development and IT operations on the cloud

Many enterprises overlook this part, as they believe the cloud’s inherent efficiency is enough to transform their operating model. Unfortunately, it does not work that way. For cloud-hosted or cloud-based development, you need to relook at your enterprise’s code pipelines, integrations, security, and various other aspects around IT operations. The best practices of the on-premise era continue to be relevant, albeit in a different model, such as tweaks to the established ITSM model). Your developers need to get comfortable with leveraging abstract APIs, rather than worrying about what is under the hood.

The Cloud 3.0 wave needs to leverage the cloud as a transformation platform instead of just another hosting model. Many enterprises limit their cloud journey to migration and transition. This needs to change going forward. Enterprises will also have to decide whether they will ever be able to build so many native services in their private cloud. The answer is probably not. Therefore, the strategic decision of leveraging hybrid models will become even more important. The service partners will also need to enhance their offerings beyond migration, transformation during migration, and management. They need to drive continuous evolution of workloads once ported or built on the cloud.

Remember, the cloud itself is not magic. What makes it magical is the additional transformation you can derive beyond the cloud platform’s core capabilities.

What has been your experience in adopting cloud services? Please write to me at [email protected].

The Amazon Web Services Juggernaut: Observations from the AWS Summit India 2019 | Blog

May 24, 2019

Amazon Web Services’ (AWS) Summit in Mumbai last week made it clear that its trifecta juggernaut in customer centricity, long-term thinking, and innovation is giving other public cloud vendors a run for their money.

Here are our key takeaways for AWS clients, partners, and the ecosystem.

Solid growth momentum

Sustaining a growth rate in the mid-teens is a herculean task for most multi billion-dollar businesses. But AWS has an annual run rate of US$31 billion, and clocked-in a 41 percent Y/Y growth rate, underpinned by millions of monthly active customers and tens of thousands of AWS Partner Network (APN) partners around the globe.

Deep focus on the ecosystem

Much of this momentum is due to AWS’ heavy focus on developing a global footprint of partners to help enterprises migrate and transform their workloads. Taking a cautious and guided approach to partner segmentation, it not only broke out its Consulting and Technology partners, but also segmented its Consulting Partners into five principal categories: Global SIs and Influencers, National SIs, Born-in-the-Cloud, Distributors, and Hosters. This is helping AWS establish specific innovation and support agendas for its partners to grow.

This partner ecosystem focus is increasingly enabling enterprises to achieve real business value through the cloud, including top-line/bottom-line growth, additional RoI, lower cost of operations, and higher application developer productivity. And AWS’ dedicated focus on articulating business benefits such as operational agility, operational resilience, and talent productivity, along with the underlying tenets of the cloud economy, has helped it onboard more enterprises.

Cloud convenience will need an accelerated Outposts push

Enterprises are looking for cloud convenience, which often manifests in location-agnostic (on-premise or on cloud) access to AWS cloud services. To bring native AWS services, infrastructure, and operating models to virtually any datacenter, co-location space, or on-premises facility, the company launched AWS Outposts at its 2018 re:Invent conference. Outposts is expected to go live by H2 2019 for Indian customers. Despite this, AWS is trailing in this front, playing catch-up to Microsoft Azure, which launched Azure Stack almost a year ago (and previewed a version in 2015.) At the same time, AWS will have to educate its enterprise clients and ease their apprehensions about vendor lock-in challenges while leveraging integrated hardware and software packages.

Helping clients avoid consumption fatigue

Shifting the focus toward AWS’ innovation agenda, the public cloud vendor launched over 1,800 services and features in 2018. As enterprises grapple with the rising number of tools and technologies at their disposal – which can lead to consumption fatigue – this can manifest in different ways:

Large enterprises will often depend on system integrators to help them unlock value out of latest technologies – AWS’ success in furthering the partner ecosystem will be crucial here
For SMBs, AWS will build on its touchpoints with the segment, something that Microsoft and Google already enjoy because of their respective enterprise productivity suites.

What’s next on AWS’ innovation front

There seemed to be a lack of development on the quantum or high-performance computing front. Client conversations suggested that they are struggling to figure out the right use cases depending on whether they need more compute and/or data – something AWS can help educate them on.

Gazing into the enterprise cloud future

We do not believe enterprises will move their entire estates to the public cloud. Indeed, as they transition to the cloud, we expect the future to be decidedly hybrid, i.e., a mix of on-premise and public, as this approach will allow every organization to choose where each application should reside based on its unique needs.

To deliver on this hybrid need, product vendors are inking partnerships with virtualization software companies. And the services and product line-ups are piquing enterprises’ curiosity. To help stake its claim in this hybrid space, AWS Outposts does have a VMware Cloud option, which is AWS’ hardware with the same configurations but using VMware’s Software Defined Data Center (SDDC) stack running on EC2 bare-metal. But it will need to educate the marketplace to accelerate adoption.

The bottom line is that although AWS is facing some challenges on the competitor front – with Azure and a reinvigorated Google Cloud under Thomas Kurian – it is well positioned on account of a solid growth platform and ecosystem leverage, which it demonstrated at the 2019 India Summit.

Busting Four Edge Computing Myths | Blog

May 8, 2019

Interest in edge computing – which moves data storage, computing, and networking closer to the point of data generation/consumption – has grown significantly over the past several years (as highlighted in the Google Trends search interest chart below). This is because of its ability to reduce latency, lower the cost of data transmission, enhance data security, and reduce pressure on bandwidth.

But, as discussions around edge computing have increased, so have misconceptions around the potential applications and benefits of this computing architecture. Here are a few myths that we’ve encountered during discussions with enterprises.

Myth 1: Edge computing is just an idea on the drawing board

Although some believe that edge computing is still in the experimental stages with no practical applications, many supply-side players have already made significant investments in bringing new solutions and offerings to the market. For example, Vapor IO is building a network of decentralized data centers to power edge computing use cases. Saguna is building capabilities in multi access edge computing. Swim.ai allows developers to create streaming applications in real time to process data from connected devices locally. Leading cloud computing players, including Amazon, Google, and Microsoft, are all offering their own edge computing platform. Dropbox formed its edge network to give its customers faster access to their files. And Facebook, Netflix, and Twitter use edge computing for content delivery.

With all these examples, it’s clear that edge computing has advanced well beyond the drawing board.

Myth 2: Edge computing supports only IoT use cases

Processing data on a connected device, such as a surveillance camera, to enable real-time decision making is one of the most common use cases of edge computing. This Internet of Things (IoT) context is what brought edge computing to the center stage, and understandably so. Indeed, our report on IoT Platforms highlights how edge analytics capabilities serve as a key differentiator for leading IoT platform vendors.

However, as detailed in our recently published Edge Computing white paper, the value and role of edge computing extends far beyond IoT.

For example, in online streaming, it makes HD content delivery and live streaming latency free. Its real-time data transfer ability counters what’s often called “virtual reality sickness” in online AR/VR-based gaming. And its use of local infrastructure can help organizations optimize their web sites. For example, faster payments processing will directly increase an e-commerce company’s revenue.

Myth 3: Real-time decision making is the only driver for edge computing

There’s no question that one of edge computing’s key value propositions is its ability to enable real-time decisions. But there are many more use cases in which it adds value beyond reduced latency.

For example, its ability to enhance data security helps manufacturing firms protect sensitive and sometimes highly confidential information. Video surveillance, where cameras constantly capture images for analysis, can generate hundreds of petabytes of data every day. Edge computing eases bandwidth pressure and significantly reduces costs. And when connected devices operate in environments with intermittent to no connectivity, it can process data locally.

Myth 4: Edge spells doom for cloud computing

Much of the talk around edge computing presents that the current cloud computing architecture is not suited to power new age use cases and technologies. This has led to attention grabbing headlines about edge spelling the doom of cloud computing, with developers moving all their applications to the edge. However, edge and cloud computing share a symbiotic relationship. Edge is best suited to run workloads that are less data intensive and require real-time analysis. These include streaming analytics, running the inference phase for machine learning (ML) algorithms, etc. Cloud, on the other hand, powers edge computing by running data intensive workloads such as training the ML algorithms, maintaining databases related to end-user accounts, etc. For example, in the case of autonomous cars, edge enables real-time decision making related to obstacle recognition while cloud stores long-term data to train the car software to learn to identify and classify obstacles. Clearly, edge and cloud computing cannot be viewed in exclusion to each other.

To learn more about edge computing and to discover our decision-making framework for adopting edge computing, please read our Edge Computing white paper.

Enterprises Must Bake “Contextualization” into Their IT Security Strategies | Sherpas in Blue Shirts

December 10, 2018

Given the rapid uptake of digital technologies, proliferation in digital touchpoints, and consumerization of IT, traditional enterprise security strategies have become obsolete. And challenges such as security technology proliferation, limited user/customer awareness, and lack of skills/talent are making the enterprise security journey increasingly complex.

Against that backdrop, the key thrust of our just released IT Security Services – Market Trends and Services PEAK Matrix™ Assessment 2019 is that the conventional, cookie cutter best practices prescribed by service providers no longer cut it. Indeed, we subtitled this new assessment “Enterprise Security Journeys and Snowflakes – Both Unique and Like No Other!” because the complexities of today’s technological and business landscape are forcing enterprises to use a much more guided and contextualized approach toward securing their IT estates.

What does this mean? To achieve success, enterprise IT security strategies must focus on three discrete, yet intertwined, levers.

Enterprise-specific Business Dynamics

In order to prioritize their investments in next-generation IT security, every enterprise needs to understand which assets it considers its crown jewels, how the business – and its security investments – will scale, and how to best mitigate risk within budgetary constraints. For example, a traditional BFS enterprise has far different endpoint security needs than does a digital-born bank.

Enterprises must also determine how delivery of superior customer and user experiences and exceptional security can co-exist. For example, a BFS enterprise’s introduction of an innovative new payments service backed by multi-factor authentication must operate without degrading the customer experience with delays.

Vertical Considerations

Enterprises need to take an industry-specific, value chain-led view of IT security that ensures optimal budget control without compromising the overall security posture.

For example, BFS firms must invest in security measures that protect their transaction processing and control/compliance capabilities. And building security controls for user access management, introducing behavioral biometrics into an integrated authentication process, and developing identity controls for anti-money laundering compliance are essential safeguards for sustainable competitive advantage.

Regional Considerations

Stringent regulatory environments (such as GDPR for customer data protection in Europe, PCI DSS for payments in the U.S., HL7 for international standards for transfer of clinical and administrative data between applications) and geography-specific nuances require a circumstantial approach to IT security. This means that geography-specific compliance around data protection, protectionist measures undertaken by the government, enterprises’ digital demand characteristics, and enterprises’ priorities in specific regions need to be taken into account. And global organizations must adhere to a well-defined strategic roadmap to address multiple variants of IT security standards across the globe.

For service providers, this essentially implies delivery of localized services in their focus geographies.

Taking a Phased Approach

While bolting-on IT security capabilities may lead to unnecessary – and valueless – sprawl, enterprises can avoid this challenge by investing in their IT security strategies in a phased manner, as outlined in the figure below.

To learn more about IT security contextualization, please see our latest report delves deeply into the important whys and hows of contextualizing IT security, and also provides assessments and detailed profiles of the 21 IT service providers featured in Everest Group’s IT Security Services PEAK Matrix™.

Feel free to reach out us to explore this further. We will be happy to hear your story, questions, concerns, and successes!

Enterprises Should Jump – Carefully – on the Cloud Native Bandwagon | Sherpas in Blue Shirts

November 20, 2018

With enterprise cloud becoming mainstream, the business case and drivers for adoption have also evolved. The initial phase of adoption focused on operational cost reduction and simplicity – what we call the “Cloud for Efficiency” paradigm. We have now entered Wave 2 of enterprise cloud adoption, where the cloud’s potential to play a critical role in influencing and driving business outcomes is being realized. We call this the “Cloud for Digital” paradigm. Indeed, cloud is now truly the bedrock for digital businesses, as we wrote about earlier.

This is good and powerful news for enterprises. However, to successfully leverage cloud as a business value enabler, the services stack needs to be designed to take advantage of all the inherent benefits “native” to the cloud model – scalability, agility, resilience, and extendibility.

Cloud Native – What Does it Mean Anyway?

Cloud native is not just selective use of cloud infrastructure and platform-based models to reduce costs. Neither is it just about building and deploying applications at pace. And it is definitely not just about adopting new age themes such as PaaS or microservices or serverless. Cloud native includes all of these, and more.

We see cloud native as a philosophy to establish a tightly integrated, scalable, agile, and resilient IT services stack that can:

Enable rapid build, iteration, and delivery of, or access to, service features/functionalities based on business dynamics
Autonomously and seamlessly adapt to any or all changes in business operation volumes
Offer a superior and consistent service experience, irrespective of the point, mode, or scale of services consumption.

Achieving a true cloud native design requires the underlying philosophy to be embedded within the design of both the application and infrastructure stacks. This is key for business value creation, as lack of autonomy and agility within either layer hinders the necessary straight-through processing across the integrated stack.

In this regard, there are salient features that define an ideal cloud native IT stack:

Cloud native applications – key tenets

Extendable architecture: Applications should be designed for minimal complexity around adding/modifying features, through build or API connections. While microservices inherently enable this, not all monolithic applications need to be ruled out from becoming components of a cloud native environment
Operational awareness and resilience: The application should be designed to track its own health and operational performance, rather than shifting the entire onus on to the infrastructure teams. Fail-safe measures should be built in the applications to maximize service continuity
Declarative by design: Applications should be built to trust the resilience of underlying communications and operations, based on declarative programming. This can help simplify applications by leveraging functionalities across different contexts and driving interoperability among applications.

Cloud native infrastructure – key tenets

Services abstraction: Infrastructure services should be delivered via a unified platform that seamlessly pools discrete cloud resources and makes them available through APIs (enabling the same programs to be used in different contexts, and applications to easily consume infrastructure services)
Infrastructure as software: IT infrastructure resources should be built, provisioned/deprovisioned, managed, and pooled/scaled based on individual application requirements. This should be completely executed using software with minimal/no human intervention
Embedded security as code: Security for infrastructure should be codified to enable autonomous enforcement of policies across individual deploy and run scenarios. Policy changes should be tracked and managed based on version control principles as leveraged in “Infrastructure as Code” designs.

Exponential Value Comes with Increased Complexity

While cloud native has, understandably, garnered significant enterprise interest, the transition to a cloud native model is far from simple. It requires designing and managing complex architectures, and making meaningful upfront investments in people, processes, and technologies/service delivery themes.

Everest Group’s SMART enterprise framework encapsulates the comprehensive and complex set of requirements to enable a cloud native environment in its true sense.

Adopting Cloud Native? Think before You Leap

Cloud native environments are inherently complex to design and take time to scale. Consequently, the concept is not (currently) meant for all organizations, functions, or applications. Enterprises need to carefully gauge their readiness through a thorough examination of multiple organizational and technical considerations.

Our latest report titled Cloud Enablement Services – Market Trends and Services PEAK Matrix™ Assessment 2019: An Enterprise Primer for Adopting (or Intelligently Ignoring!) Cloud Native delves further into the cloud native concept. The report also provides the assessment and detailed profiles of the 24 IT service providers featured on Everest Group’s Cloud Enablement Services PEAK Matrix^TM.

Feel free to reach out us to explore the cloud native concept further. We will be happy to hear your story, questions, concerns, and successes!

SAP Accelerates Experience Pivot with a $8 billion Bet on Qualtrics | Sherpas in Blue Shirts

November 14, 2018

Just days before 16-year old Qualtrics was due to launch its IPO, SAP announced its acquisition of the customer experience management company in an attempt to bolster its CRM portfolio. Qualtrics, one of the most anticipated tech IPOs of the year, and oversubscribed 13 times due to investor demand, adds to SAP’s arsenal of cloud-based software vendor acquisitions.

Delving into SAP’s Strategic Intent

Seeking transformational opportunities, the acquisition will allow SAP to sit atop the experience economy through the leverage of “X-data” (experience data) and “O-data” (operational data). Moreover, the acquisition will enable SAP to cash in on a rather untapped area that brings together customer, employee, product, and brand feedback to deliver a holistic and seamless customer experience.

SAP had multiple reasons to acquire Qualtrics:

First, it combines Qualtrics’ experience data collection system with SAP’s expertise in slicing and dicing operational data
Second, it sits conveniently within SAP’s overarching strategy to push C/4 HANA, its cloud-based sales and marketing suite.

SAP’s acquisition history makes it clear it seeks to achieve transformative growth by bolting in capabilities from the companies it acquires. It has garnered a fine reputation when it comes to onboarding acquired companies and realizing increasing gains out of the existing mutual synergies. Its unrelenting focuses on product portfolio/roadmap alignment, cultural integration, and GTM with acquired companies have been commendable.

Here is a look at its past cloud-based software company acquisitions:

SAP has taken a debt to finance the Qualtrics acquisition, making it imperative to show business gains from the move. With Qualtrics on board, it seems SAP’s ambitious cloud growth target (€8.2-8.7 billion by 2020) will receive a shot in the arm. However, the acquisition is expected to close by H1 2019, implying that the investors will have to wait to see returns. Moreover, SAP’s stock price in the past 12 months has dropped by 10.6 percent versus the S&P 500 Index rise of 3.4 percent. While SAP has seen revenue growth, its bottom-line results have been disappointing with a contraction in operating margins (cloud revenues have grown but tend to have a lower margin profile in the beginning.) This is likely to be further exacerbated given the enterprise multiple for this deal.

Fighting the Age-old Enterprise Challenge

Having said that, SAP sits in a solid location to win the war against the age-old enterprise conundrum of integrating back-, middle-, and front-office operations and recognize the operational linkages between the functions. Qualtrics’ experience management platform, known for its predictive modeling capabilities, generating real-time insights, and decentralizing the decision-making process, will certainly augment SAP’s value proposition and messaging for its C/4 HANA sales and marketing cloud. In fact, the mutual synergies between the two companies might put SAP at an equal footing with Salesforce in the CRM space.

While it may seem that SAP has arrived a bit early to the party, given that customer experience management is still a niche area, the market’s expected growth rate and SAP’s timely acquisition decision may allow it to leap-frog IBM and CA Technologies (now acquired by Broadcom), the current leaders in the space. Indeed, over the last couple of years, Qualtrics has pivoted beyond survey and other banal customer sentiment analysis methods to create a SaaS suite capable of:

Analyzing experience data to derive insights about employees, business partners, and end-customers
Democratizing and unifying analytics across the back-, middle-, and front-office operations
Delivering more proactive and predictive insights to alleviate experience inadequacy.

Cognitive Meets Customer Experience Management – The Road Ahead

SAP’s Intelligent Enterprise strategic tenet, enabled by its intelligent cloud suite (S/4 HANA, Fiori), digital platform (SAP HANA, SAP Data Hub, SAP Cloud Platform), and intelligent systems (SAP Leonardo, SAP Analytics Cloud), has allowed customers to embed cutting edge technologies – conversational AI, ML foundation, and cloud platform for blockchain. SAP is already working towards the combination of machine learning and natural language query (NLQ) technology to augment human intelligence, with a vision to drive business agility. Embedding the experience management suite within next-generation Intelligent Enterprise tenet will play a key role in achieving the exponential growth targets by 2020.

Please share your thoughts on this acquisition with us at: [email protected] and [email protected].

Acquisition Of Red Hat Repositions IBM For Digital IT Modernization | Sherpas in Blue Shirts

October 30, 2018

IBM’s $34 billion cash acquisition of Red Hat announced early this week has far-reaching implications for the IT services world. IT is modernizing, moving from a legacy world with data centers, proprietary operating systems and proprietary technologies to a digital environment with cloud, open-source software, a high degree of automation, DevOps and integration among these components. IBM’s legacy assets and capabilities are formidable, but the firm was not well positioned for IT modernization and struggled with digital operating models. The Red Hat acquisition is significant as it repositions IBM as a vital, must-have partner for enterprise customers in IT modernization and evolving digital operating models. This is a very intriguing acquisition for IBM. Let’s look at the implications for IBM and enterprise customers.

Digital Transformation Reveals Limitations Of Software Packages And SaaS | Sherpas in Blue Shirts

September 24, 2018

Most large enterprises were on a journey for the past 30 years where a higher and higher proportion of the core systems driving the enterprises was software packages or software as a service. Traditional wisdom for companies was “don’t build – buy.” Then, again, as companies undertook digital transformation journeys, the prevailing belief was that the best way to do digital transformation is to get there as fast as possible by buying (not building) many components, using third-party software and SaaS products. Now, two disruptive forces are starting to shift the balance between build vs. buy in the IT world.

Learn more about our digital transformation analyses

Broadcom, CA Technologies, and the Infrastructure Stack Collapse | Sherpas in Blue Shirts

July 16, 2018

In news that has caused a huge stir in the technology world, Broadcom, the semiconductor supplier, reached a definitive agreement to acquire CA Technologies, a leading infrastructure management company, for a whopping US$18.9 billion.

Unpacking the Strategic Intent behind the Deal

Many view the deal through a dubious, even critical, lens that points to Broadcom’s loss of strategic focus through a broadening of its capabilities beyond the semiconductors space. While the paucity of business synergies may seem true given the discrete nature of the two companies, the deal is not surprising when you examine the fragmented nature of the infrastructure software market.

Coping with bewildering choices in the realm of IT infrastructure management has been an impediment for most enterprises, leaving IT personnel grappling with a myriad of software and tools. Having said that, the advent of the converged stack approach is seen as the vanguard that can bear the mantle that democratizes infrastructure management. As time unravels the mysteries behind this move, the acquisition of an infrastructure software company may prove to be Broadcom’s crown jewel.

Why CA?

Broadcom has long embraced inorganic growth. While its past acquisitions have centered around expanding its portfolio in the semiconductor business, CA will likely give it considerable headway in becoming a leading infrastructure technology company.

Broadcom’s revenue has been bolstered by its strategy of buying smaller businesses, and incorporating their best performing business units into the company. With this acquisition – expected to close by Q4 2018 – Broadcom is looking at ~25 percent business revenue from enterprise software solutions.

Broadcom will also gain access to CA’s 1,500+ existing patents on various topics including service authentication, root cause analysis, anomaly detection, IoT, cloud computing, and intelligent human-computer interfaces, as well as 950 pending patents.

When you examine Broadcom’s business mix shift, you see an acquisition-driven approach aligned to its Wired Infrastructure and Wireless Communication business segments. These are the segments where CA brings in more downstream muscle to create an end-to-end offering for the infrastructure stack.

Thus, Broadcom’s apparent strategic tenet to establish a “mission critical technology business” seems to be satisfied.

However, not everyone is convinced. The market was caught off guard, and is worried that this might be a reaction to Broadcom’s failed bid for Qualcomm earlier this year. Its stock has fallen by 15 percent since June 11, and the street is betting that it will plummet by another 12 percent by the middle of August 2018.

It’s Not Just about Broadcom, Is It?

With software as the strategic cornerstone, CA Technologies has scaled its offerings in systems management, anti-virus, security, identity management, applications performance monitoring, and DevOps automation. With enterprises shifting gears in their cloud adoption journey, revenue from CA Technologies’ leading business segment – Mainframe Solutions – has been declining for the last couple of years. But this decrease has been offset with rising revenues from its Enterprise Solutions. Moreover, before the acquisition announcement, CA Technologies had been trying to shift its model from perpetual licenses to SaaS and cloud models. As Broadcom moves ahead with onboarding CA Technologies’ offerings, it will gain access to downstream revenue opportunities as it will be able to provide customers a broader solutions portfolio.

The Way Forward

The size and opaque intent of this deal have evoked myriad market reactions. With Broadcom taking an assertive stance to expand into the fragmented infrastructure software market, increase its total addressable market, and capitalize on a recurring revenue stream, we wouldn’t be surprised to see it forging partnerships to propel the software solutions business it acquired from CA. Additionally, this deal will probably not face the same regulatory hurdles that ended up derailing Broadcom’s US$117 billion takeover bid for Qualcomm.

As Broadcom broadens its portfolio from beyond its core semiconductors business, it is laying down a marker and taking meaningful steps to build an enterprise infrastructure technology business. This aligns well with the collapsing enterprise infrastructure stack. But the question is – will CA’s largely legacy dominance be enough to propel this turnover in the digital transformation era?

While uncertainty about business synergies looms over this proposed acquisition, it will be interesting to monitor how Broadcom nurtures and aligns CA’s enterprise software business in its broader go-to-market strategy.

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Category: Cloud Infrastructure