The project, announced in May 2024 during President William Ruto’s visit to Washington, was expected to become one of the biggest digital infrastructure investments in East Africa. 

Microsoft and Abu Dhabi-based G42 planned to build the facility in Olkaria, near Naivasha, using geothermal power. It was also meant to host Microsoft’s first Azure cloud region in East Africa.

However, negotiations later became difficult after Microsoft and G42 asked the Kenyan government to guarantee annual payments for part of the data centre’s computing capacity. 

According to reports from Bloomberg, Kenya could not provide guarantees at the level the companies requested, and discussions on the Microsoft data centre project stalled.

The delay has now raised wider concerns about whether Kenya’s current infrastructure can support hyperscale data centres and growing artificial intelligence workloads.

At full scale, the facility was expected to require around 1 gigawatt of electricity. That is close to one-third of Kenya’s current installed power capacity, which stands between 3,000 and 3,200 megawatts.

President Ruto had earlier warned about the pressure such a facility could place on the country’s grid.

“To switch on that one data centre, we would need to shut off power for half the country.”

Kenyan officials say the project has not been abandoned. John Tanui, principal secretary at Kenya’s Ministry of Information, said discussions are still ongoing, although the structure and scale of the project is still under review.

“The scale of the data centre they wanted to do still requires some structuring,” he said, while adding that power requirements are still under discussion.

The government now wants to expand Kenya’s electricity capacity to 10,000 megawatts by 2030 as it pushes to attract more large-scale technology investments.

Officials are also considering a phased rollout, beginning with a smaller 100-megawatt facility before expanding gradually. That approach could reduce immediate stress on the national grid while allowing Kenya to continue negotiations with Microsoft and G42.

The uncertainty around the project also reveals a bigger challenge facing African countries trying to attract global cloud and AI investments. 

While demand for digital infrastructure is growing with speed, many countries still lack the power generation and transmission capacity needed to support energy-intensive facilities.

The delay could also affect the rollout of Microsoft Azure services across East Africa, including cloud tools tied to products such as OneDrive and Copilot.

Neither Microsoft nor G42 immediately responded to requests for comment on the reported Kenya data centre dispute.

Before now, Microsoft helped fund OpenAI’s rapid growth and used early access to its systems to build new tools across Windows, Office, Azure and other products.

Under the new agreement, Microsoft will remain OpenAI’s main cloud partner, but it will no longer have sole rights to host or distribute OpenAI technology.

That means OpenAI can now reach customers already using other cloud providers, instead of asking them to move to Microsoft Azure first.

Even so, OpenAI products are still expected to launch first on Azure unless Microsoft cannot, or chooses not to, support them.

Microsoft will also keep a non-exclusive licence to OpenAI’s intellectual property until 2032.

Another key change concerns money as Microsoft will no longer pay OpenAI a share of revenue from its own AI-related products. At the same time, OpenAI will continue paying Microsoft a 20% revenue share until 2030, though that amount now has a fixed upper limit.

Following the announcement, Microsoft shares fell about 1% in premarket trading on Monday, while Amazon and Alphabet, Google’s parent company, edged higher.

This means Microsoft has lost a strategic advantage, while its competitors now have a stronger path to offer OpenAI products through their own cloud services.

Still, aside from the exclusive deal, Microsoft is deeply tied to OpenAI. The software company owns about 27% of OpenAI, a stake estimated to be worth around $225 billion after OpenAI’s corporate restructuring last year.

The two companies have faced limitations in recent months, with reports in March saying Microsoft had considered going to court over a proposed $50 billion cloud deal involving Amazon and OpenAI that could have conflicted with earlier exclusivity terms.

There were also signs of stress inside OpenAI. Internal discussions reportedly revealed frustration that the old arrangement limited sales opportunities, especially among companies already committed to AWS or Google Cloud.

For OpenAI, the new structure provides room to expand faster and sell across more platforms.

For Microsoft, the deal removes exclusivity but secures long-term access to OpenAI technology while putting clearer limits on future payments.

For customers, it means more choice and less pressure to rely on a single cloud provider.

This belief is fundamentally flawed and creates a false sense of protection that masks real exposure, turning what should be a strategic cloud advantage into a ticking time bomb quietly building risk inside the organisation’s own environment.

Microsoft builds the platform, it doesn’t defend your specific environment. What you monitor, how you configure settings, and how you respond to threats is entirely your responsibility. Security isn’t pre‑installed, it has to be actively managed.

Today, inside your Microsoft 365 tenant, there could already be:

• Suspicious sign‑ins going unnoticed
• Privilege escalation quietly granting excessive rights
• Malicious inbox rules rerouting or deleting mail
• Account takeover attempts underway
• Data quietly exfiltrating from SharePoint or OneDrive

And here’s the most alarming truth of all – attackers know exactly how blind most organisations are.

According to a 2025 industry survey, 68 % of organisations face cyberattacks on their Microsoft 365 environment daily,yet many still assume the platform protects them by default.

Even worse, only about 41 % of organisations have implemented multi‑factor authentication (MFA) effectively, despite the fact that nearly all account compromises occur on accounts without enforced MFA.

If your organisation hasn’t enforced MFA across every account, or if you think Microsoft’s baseline protections are enough, you are not secure, and you’re placing critical data at risk.

Most security failures in Microsoft 365 stem not from flaws in the platform, but from human assumptions and configuration gaps. Administrators may believe that Microsoft does backups for them, that MFA is “good enough,” or that default alerts will catch real threats before any damage is done. None of those assumptions hold up under real attack conditions.

Attackers are constantly probing cloud environments with advanced techniques – phishing campaigns that bypass basic defences, abuse of OAuth device flows, credential stuffing, and AI‑driven exploitation tools that target human behaviour as much as systems.

The cloud isn’t a walled garden, it’s the front door to your business, and it’s under siege every hour of every day.

Cyber resilience in the cloud isn’t about stacking more security products, it’s about visibility and actionable insight.

If you can’t see suspicious activity across logins, identity changes, data flows, and configuration modifications, you cannot protect what you cannot detect. Believing that Microsoft alone will defend your environment is not just naïve, it’s negligent. In the cloud, if you can’t see it, you can’t protect it.

J2 is a leading managed security services provider, founded in 2006 with a mission to make cybersecurity accessible, practical and effective for organisations of every size.

Apple’s surge came after its stock reached an all-time high of $269.20 before settling around $268.60, briefly pushing its market cap beyond $4 trillion. 

The company’s growth has been commendable, hitting $1 trillion in 2018, $2 trillion in 2020, and $3 trillion in 2022. 

Its latest increase was driven largely by strong sales of the iPhone 17 range, which analysts say is outselling previous models, particularly in China and India. 

The firm is also expected to report solid fourth-quarter earnings on Thursday, with notable growth anticipated in services revenue, such as App Store, iCloud, and Apple Music, and wearables, including the Apple Watch Ultra 3 and Vision Pro.

Microsoft, which had briefly slipped below the mark earlier this year, rebounded strongly following its renewed agreement with OpenAI. The deal has deepened the integration of OpenAI’s GPT models across Microsoft’s Azure and Copilot tools. 

According to the company, its 27% stake in OpenAI is now valued at approximately $135 billion, highlighting the scale of investor trust in the AI sector. 

Azure continues to be a central driver of Microsoft’s earnings, with enterprise demand for AI infrastructure and its Microsoft 365 Copilot suite pushing growth to new levels. The company will release its quarterly report on Wednesday.

Meanwhile, Nvidia continues to lead the trillion-dollar race. The chipmaker was the first to reach the $4 trillion milestone in July 2025 and is now nearing $5 trillion in valuation. 

Its performance has been driven by global demand for its H100 and B200 GPUs, key components in training large-scale AI models. Nvidia’s place in the AI hardware market has made it the fastest-growing tech stock of the year.

Alphabet, the parent company of Google, is not far behind, trading at a market capitalisation of around $3.25 trillion. If the current growth in AI and cloud services continues, it could soon join Apple, Microsoft, Nvidia and others in the $4 trillion valuation club.

This year alone, Microsoft has sunk $64 billion into infrastructure, much of it driving the AI growth through data centres powering services like Copilot in Microsoft 365. 

While most tech firms are cautiously navigating unstable markets, Microsoft’s share price has surged over 30%, a sign investors are betting on the company’s aggressive AI focus.

Behind the scenes, Microsoft appears to be recalibrating its alliance with OpenAI. Though the two remain close, with Microsoft still a strategic backer, OpenAI has been given leeway to partner with others, including Oracle, on the massive Stargate data centre project in Texas.

What’s happening is Microsoft is gradually placing itself as a neutral technology provider, what some are calling an “arms dealer” in the AI wars, rather than locking into exclusive alliances. This neutrality allows it to offer AI tools across industries without being boxed in by one partner’s limitations or priorities.

Meanwhile, demand for AI services in Azure, Microsoft’s cloud platform, is climbing. CEO Satya Nadella has suggested that AI costs can be drastically reduced through algorithmic efficiency. “Once it settles on an algorithm and begins to optimise it, Microsoft can obtain 10 times better performance for the same computing costs,” he said. That’s the kind of return that could redefine tech margins.

The company is also being tactical about how it handles computational surges. Instead of building more expensive data centres, Microsoft is leaning on “neocloud” providers like CoreWeave. These firms specialise in delivering Nvidia-powered AI infrastructure on demand. It’s a leaner, faster, more flexible approach to scaling.

Cantor Fitzgerald analyst Thomas Blakey said: “If they have to flex up in some way, they’ve been consistently saying that they’re going to shift away from buying more data centres and dirt and cement and they’re going to leave that to the neoclouds.”

The Microsoft Build 2025 conference, running until May 22, is not just a developer gathering this year. It’s a moment of clarity about Microsoft’s vision to take over the AI stack, monetise it, and use every tool, from GitHub to Azure, to keep developers building inside its ecosystem.

At 50, the company is no longer just the maker of Word and Windows. It has evolved into the brain behind many of the systems impacting our lives today—quietly building a future where machines go beyond running, to deciding.

When Microsoft was first founded in 1975, nobody thought it would still be here fifty years later, let alone playing philosopher-king in the world of intelligent machines. Many of us imagined by now we’d have flying cars and food pills. Instead, we’ve got talking laptops and email that finishes itself. Not a bad trade.

But really, Microsoft didn’t stumble into this future—the company clawed, built, and sometimes bought its way through a wild maze of experiments, corporate memos, awkward voice assistants, and a few too many brand rebrands. And now, at 50, it’s not just riding the wave, it helped cause the flood.

Here’s an honest, slightly amused, and deeply respectful tour of the 15 moments that turned Microsoft into a half-century-old juggernaut chasing something much bigger than just clever tools.

1. When Bing Stopped Just Being a Verb

Launched in 2009, Bing was born out of the ashes of Windows Live Search. This wasn’t just another search engine, but Microsoft’s first proper inroad into “understanding” what people meant rather than what they typed. In scooping up Powerset in 2008, they quietly laid the groundwork for semantic smarts, with features like auto-suggestions and a little section called “Explore Pane” that told users what they might want next. Almost prophetic, really.

2. Azure’s Secret Identity Was Oxford

Project Oxford may sound like something cooked up by a British spy agency, but in 2015 it became the invisible backbone of Microsoft’s app brainpower. Developers got access to tools that could detect faces, understand speech, and recognise language patterns. Eventually, it became Azure AI Foundry, powering what would become the great experiment in building digital intuition.

“So much of this goes back to Bing,” Eric Boyd said, revealing the not-so-secret origin story. And honestly? He wasn’t wrong.

Microsoft Clocks 50!

3. ResNet: The Nerdy Innovation You’ve Never Heard Of

ResNet. Sounds like an underwhelming WiFi network, right? Wrong. This 2015 invention quietly changed how machines “see.” It lets systems learn deeper, better, and faster—whether for scanning hospital MRIs or powering your cousin’s terrifyingly autonomous drone camera.

“If you have a self-driving car, it’s using AI based on ResNet,” said Peter Lee, head of Microsoft Research. “If you’re getting an MRI in the clinic, that MRI machine also has technology based on ResNet.”

4. Machines That Listen (and Speak Better Than Some People)

Between 2015 and 2020, Microsoft hit human-level performance in speech recognition, image captioning, and translation. The company went beyond teaching machines to understand—it was making them multilingual and multisensory. This led to something called XYZ-code, which brought together text (X), vision/audio (Y), and multiple languages (Z). A little Frankenstein, a little genius.

5. Seeing AI: Making the World Talk Back

In 2016, Microsoft dropped Seeing AI, an amazement designed for the blind or visually impaired. It could describe your surroundings, read signs, and even detect emotions. It wasn’t about bells and whistles—it was about dignity. And when it added “Find My Things,” people could train it to recognise their lost keys or glasses. More than smart. Kind.

6. Brainwave: Not a Sci-Fi Movie, Just Really Fast Machines

By 2017, Microsoft had cooked up Brainwave, a deep-learning engine that married custom hardware with blazing-fast processing. It handled massive tasks—like real-time image recognition—at scale. And for once, it didn’t feel like marketing hype. It actually worked.

[Microsoft at 50] REWIND: ‘Our Investments in Nigeria Beyond Business’ – Ola Williams

7. Turing-NLG: A Giant Leap in Text Prediction

Before the rest of the world was obsessed with language generators, Microsoft rolled out Turing-NLG in 2020. With 17 billion parameters, it flexed serious muscle in writing, summarising, and understanding human text. It wasn’t parroting words, it grasped meaning. Sort of.

8. Dragon Copilot: Healthcare Finally Gets a Break

DAX Copilot wasn’t just a mouthful; it was a huge innovation. In embedding this ambient clinical intelligence into doctors’ tools, Microsoft allowed physicians to focus on patients, not keyboards. “Dragon” became the silent scribe in the room—observing, listening, documenting. Now, it’s trusted by 600+ healthcare systems and counting.

9. Azure’s Supercomputers Get Serious

In 2020, Microsoft gave OpenAI a new toy: one of the most powerful supercomputers on Earth, hosted in Azure. We are not just talking about horsepower, it was a blueprint for training monster models. This partnership changed everything. Together, they went beyond chasing progress to steamrolling into it.

10. GitHub Copilot: The Buddy Programmers Never Knew They Needed

By 2021, coding got a sidekick. GitHub Copilot could finish lines, suggest better ones, and—let’s be honest—sometimes knew what we were trying to say before we did. Now used by 77,000+ organisations, it’s becoming something eerily close to an actual teammate.

11. Search Gets Reinvented (Again)

In 2023, Microsoft mashed search with something smarter and called it Copilot. What followed was a tidal wave of productivity tools that could summarise meetings, interpret spreadsheets, and—allegedly—keep your boss impressed. From Bing to Microsoft 365, Copilot became your office buddy, research assistant, and backup brain.

12. PCs Built for Something More Than Scrolling

The 2024 Copilot+ PCs brought new architecture—combining CPU, GPU and something called an NPU. The result? A machine that could run smarter apps on its own—without needing the cloud. Up to 20x faster, 100x more efficient. Basically, PCs that think more than they heat up.

13. AutoGen: Robots That Cooperate (Sort Of)

Launched in 2023, AutoGen didn’t try to be the loudest tool in the room. It quietly enabled AI agents to collaborate, plan, and finish complex tasks without burning out your laptop. More than a framework—it hinted at a world where systems handle chaos together.

14. Phi: Small, Sharp, and Surprisingly Smart

Tired of bloated software that eats memory? Meet Phi. Starting in 2024, Microsoft went small and nimble. Phi models ran smoothly on mobile devices and were designed for real-world use—not just cloud castles. It was AI for people who don’t live on servers.

15. Muse: Making Games Think

In 2025, Muse took everything we know about gameplay and flipped it. It didn’t just play—it understood. It studied how worlds evolve, how actions ripple, and helped developers create games that think, adapt, and surprise. Finally, an AI model that doesn’t just play chess—it builds the board.

Microsoft’s 50-year run is not only a focus on smart tech, but awesome reinvention. Clunky desktop software and devices that see and respond? Microsoft’s drive feels less like a straight line and more like a tangled wire that somehow still conducts brilliance.

“What is really important in research is not only advancing the state of knowledge in technical terms, but ensuring these breakthroughs can enable a broader ecosystem as well,” Peter Lee reminds us.

And if you think it ends here, think again. Microsoft isn’t done dreaming—or building. The company has made mistakes, taken risks, and pivoted more times than we can count. 

But that’s exactly why it’s still standing, still shaping tomorrow, and still making your inbox magically write itself.

Happy 50th, Microsoft. Here’s to the next bizarre, brilliant chapter.

Revealed during the Ignite conference on Tuesday, the company aims to bolster artificial intelligence (AI) operations and improve data security within its data centres.  

The first chip, named the Azure Integrated Hardware Security Module (HSM), focuses on fortifying encryption and safeguarding sensitive security data within a protected module. 

Beginning in 2025, this chip will be integrated into every new server deployed across Microsoft’s data centres, ensuring solid security measures for both general-purpose and confidential workloads.  

The second innovation, the Azure Boost Data Processing Unit (DPU), is built to optimise data-centric tasks, such as networking and storage while reducing energy consumption. 

Microsoft claims the DPU can deliver four times the performance of existing hardware while consuming only a third of the power, a move aimed at improving efficiency in handling AI and cloud storage demands.  

Designing in-house chips will enable Microsoft to reduce dependency on third-party manufacturers such as Intel and Nvidia, targeting hardware at specific workloads and achieving cost savings.  

In addition to the new chips, the company unveiled advancements in data centre cooling technology. A liquid-based system has been designed to manage heat more effectively, supporting the growing computational demands of large-scale AI applications.  

Expanding Cloud Infrastructure with High-Performance Solutions

The announcements come as Microsoft enhances its cloud services with cutting-edge technologies. The company revealed plans to introduce an AI supercomputing service powered by Nvidia’s Blackwell GPUs, integrated with advanced networking solutions. 

This initiative aims to deliver outstanding computational power for AI workloads, enabling businesses to leverage high-performance cloud-based AI solutions.  

Furthermore, Microsoft is collaborating with AMD to roll out custom high-performance computing (HPC) services. These offerings, based on AMD’s bespoke Epyc processors, promise adequate speed and efficiency gains for intensive workloads. Preview availability is expected in 2025.  

Focus on Security and Performance

With cyber threats on the rise, Microsoft’s focus on enhancing security through the Azure Integrated HSM chip reiterates its assertion to protect users’ data. 

This chip complements existing security features, such as Azure’s Project Cerebrus, by ensuring cryptographic keys remain securely stored within the hardware.  

On the performance side, the Azure Boost DPU highlights the advantages of offloading specific tasks from CPUs and GPUs.

This innovation accelerates cloud operations and supports Microsoft’s sustainability goals by reducing energy consumption across its data centres.  

Driving the Future of Cloud Computing

With these developments, Microsoft is strategically investing in custom hardware to meet the changing needs of AI and cloud computing. The company aims to deliver faster, more secure, and cost-effective services for its customers.  

Globally, AWS, Azure, and GCP are the leading cloud providers. AWS offers depth and maturity; Azure provides easy integration with enterprise software, and GCP is strong in data and AI.

In Africa, the adoption of cloud computing is growing, but is often shaped by infrastructure constraints, regulatory demands, and budgetary pressures.

Local operators, such as Africa Data Centres (ADC), are helping to counter these facts with low-latency solutions and metered pricing. As demand for DevOps engineers rises, the choice of a cloud platform to specialise in is both strategic and technical.

Why Cloud Infrastructure Matters in DevOps?

Cloud platforms enable the core activities of DevOps, including automation, integration, and continuous deployment. CI/CD pipelines run smoothly in the cloud with the assistance of tools like Jenkins, Azure Pipelines, and AWS CodeBuild.

Automation extends beyond deployment. Terraform and Ansible simplify provisioning and remove human error with infrastructure as code (IaC) tools. Azure Monitor and Application Insights provide real-time performance feedback using monitoring tools.

Using managed services, pay-as-you-go architectures and elastic scalability, cloud computing also makes cost-effectiveness possible. DevOps is more dependable, quicker and simpler to expand thanks to the cloud.

Why Does DevOps Look Different Across AWS, Azure, and GCP?

While DevOps principles are consistent, their implementation differs by platform. Each provider offers distinct tools, architecture, and integrations.

AWS has the broadest service range. Azure integrates tightly with Microsoft products, making it ideal for enterprise IT. GCP stands out in data processing and machine learning. Differences in networking, permissions, and regional availability necessitate adjustments to practices across various platforms.

In Africa, these differences are magnified by regional availability and connectivity. Local cloud providers, such as ADC, play a critical role in bridging service gaps.

Why Should You Specialise?

Platform expertise leads to faster deployments and fewer errors. Workflows for automated DevOps can cut downtime during migrations by more than 70% and setup time by 79%.

Teams that specialise can diagnose more quickly, optimise services, and integrate platform-specific tools more thoroughly. However, mastering a cloud platform requires training, especially for African teams with limited support resources. That’s where providers with localised services and education offerings are gaining ground.

AWS for DevOps

AWS is the leading cloud platform for DevOps, offering a comprehensive suite of tools to facilitate code integration, automated deployment, monitoring, and infrastructure management. Services such as CodePipeline, CodeDeploy, EC2, Lambda, CloudWatch, S3, and IAM work together to simplify delivery. It is easily compatible with offerings like Terraform, Jenkins, Docker, and Kubernetes, and can manage pipelines across environments with ease.

AWS is widely utilised in various industries, including government, e-commerce, media, and finance. AWS is used by businesses such as Netflix, Adobe, BMW, and United Airlines to reduce costs and accelerate deployment. For example, United Airlines achieved over $500,000 in savings on testing and improving code coverage by 85%. The United States alone accounts for over 40% of the global DevOps market.

In Africa, AWS boasts a regional data centre in Cape Town that improves latency for Southern Africa. Enterprise adoption on the continent continues to grow, with organisations utilising AWS in education and training programs through AWS Educate and AWS Academy. These programs provide students with access to genuine tools, credits, and laboratories that help them develop practical skills.

The AWS DevOps certification is quite well-known among professionals. Its scale and ecosystem make it a very good choice for teams needing flexibility, automation, and an enormous support community. However, few regional data centres may pose a difficulty for African companies that need local compliance or multi-country rollouts.

Azure DevOps

Microsoft Azure offers an extensive, fully integrated set of DevOps services designed to enhance the creation, deployment, and management of applications. Azure DevOps, Azure Pipelines, Repos, Boards, and Artefacts are core services that help with collaborative development and the execution of CI/CD processes.

Azure’s wide integration with Visual Studio, GitHub, and Active Directory provides developers with an accessible and flexible platform for delivering applications from start to finish.

Through Azure Monitor, Application Insights, and Log Analytics, Azure enables advanced monitoring and performance management, allowing teams to proactively identify irregularities and enhance system health. Infrastructure as code (IaC) is enabled by Terraform and Azure Resource Manager (ARM) templates. Scalable, serverless, and containerised applications are facilitated by Azure Kubernetes Service (AKS), App Services, and Azure Functions.

Azure’s platform is especially ideal for hybrid environments, enterprise workloads, and companies with existing Microsoft investments. Its high-security functionalities, including Azure Security Centre, Sentinel, and Role-Based Access Control (RBAC), are especially useful to sectors that experience high compliance requirements.

Companies such as Walmart, EY, Coca-Cola, GE and BMW use Azure in industries including finance, manufacturing and government to modernise legacy infrastructure and automate software development.

In Africa, Azure is expanding its presence in education and digital transformation in the public sector through data residency capabilities, hybrid cloud support, and increased regional presence.

To enable workforce expansion, Microsoft offers multiple streams of training and certification under its Azure Fundamentals, Azure Administrator, and DevOps Engineer Expert certifications. Initiatives like Microsoft Learn, Azure for Students, and Visual Studio Dev Essentials provide learners and professionals with cloud credits, developer tools and learning portals, which make Azure a contender for developing DevOps skills and careers globally.

Google Cloud Platform (GCP) for DevOps

Google Cloud Platform’s automation-first strategy, data integration expertise, and containerisation capabilities set it apart in the DevOps market. With technologies like Google Kubernetes Engine (GKE), Cloud Run, App Engine, and Cloud Functions, which provide scalable, event-driven applications, it boasts a new generation of cloud-native development tools. Infrastructure is automated by a suite of tools like Terraform and Cloud Deployment Manager, with CI/CD pipelines optimised by Cloud Build and integration with GitHub and Jenkins.

GCP is particularly robust in terms of analytics and observability. Features like BigQuery, Stackdriver, and Cloud Monitoring enable organisations to assess the health of their systems and make informed decisions in real-time. The platform’s strong emphasis on reliability engineering, based on Google’s own Site Reliability Engineering (SRE) principles, makes it a great choice for companies that value automation, speed, and resilience.

GCP is gaining momentum in Africa. Fintech founders like Nomanini in South Africa have leveraged the platform to streamline development cycles and roll out solutions more quickly. Jaguar Land Rover’s South African division revamped its data architecture using GCP, enhancing data accuracy and informed decision-making. Google’s cloud region launch in Johannesburg in 2024 marks a significant milestone for the continent, offering lower latency and enhanced service reliability for local companies.

GCP also offers a well-defined path for skill development. The Professional Cloud DevOps Engineer certification enables students to validate their expertise in CI/CD, service performance, monitoring, and automation. Students work with real-world, hands-on labs that mirror actual DevOps environments, ensuring career growth in both African and global markets.

By combining intelligent automation, robust analytics, and an expanding geographic footprint, GCP is positioning itself as a visionary choice for DevOps teams seeking to scale efficiently and innovate rapidly.

Comparative Analysis: AWS vs Azure vs GCP for DevOps

In the global cloud cosmos, AWS dominates with Azure and GCP following in the second and third places, respectively. The three of them together have around 70% of the global market share. AWS is predominantly known for its size, depth of service, and usage by large enterprises.

Azure continues to grow at a rapid pace, particularly among established organisations in the Microsoft universe.

GCP, although smaller, is expanding rapidly through innovation, especially in AI, data analytics, and open-source integration.

In Africa, all three providers have taken tangible steps to increase local relevance. As described above, AWS’s Cape Town region, Azure’s South Africa North and South Africa West regions, and GCP’s new Johannesburg opening all share a similar strategy: reducing latency, improving performance, and addressing compliance needs on the continent. However, local operators like Africa Data Centres continue to offer a local presence advantage in data residence and localisation in terms of infrastructure that covers South, East, and West Africa.

Although platform-specific compensation data for DevOps professionals, both globally and in Africa, is scarce, all three ecosystems offer tremendous career opportunities. Each of AWS, Azure, and GCP has stringent learning paths and well-established certification programs.

On each of the three platforms, ecosystem maturity is crucial for developer action and tool integration. AWS excels with its massive DevOps service catalogue, Azure captures enterprise developers already in Microsoft’s ecosystem, and GCP excels by innovating and simplifying adoption, particularly in AI and education.

Choosing the right cloud platform on which to specialise as a DevOps practitioner depends on your goals, regional needs, and the types of organisations you want to work with. AWS leads globally and excels in service reach; Azure leads in enterprise usage and hybrid support; and GCP leads with pioneering AI-friendly technologies. Each of the three offers valuable opportunities. Your best bet is to align your skills with those that address both your professional objectives and the digital agenda of your region.

WRITER’S BIO

Inioluwa Shittu is a certified AWS DevOps Engineer and Solutions Architect with years of experience building, deploying, and managing scalable cloud environments.

He is also a graduate of the University of South Wales, combining a strong academic background with hands-on expertise in cloud computing (IaaS), CI/CD pipelines and infrastructure automation.

He has worked across various systems, including Windows, Ubuntu, Red Hat Linux, and CentOS, utilising tools such as Chef and Ansible for configuration management. Skilled in Bash and Python scripting, Inioluwa is passionate about cloud architecture that is cost-efficient, resilient and scalable. 

The tech giant reported a net income of $88.1 billion, a 22% increase from the previous fiscal year. This growth is a result of the company’s continued expansion and success in key areas like cloud computing and productivity solutions.

Microsoft’s overall revenue for the year reached $245.1 billion, a 16% rise from the prior year. Its operating income also saw a good increase, climbing to $109.4 billion, up 24% year-on-year. These reiterate the company’s solid performance and focus on innovation and customer trust.

In the fourth quarter alone, Microsoft reported revenue of $64.7 billion, a 15% increase compared to the same quarter last year. The Intelligent Cloud segment, which includes Azure and other cloud services, generated $28.5 billion in revenue, making a 19% growth.

Azure itself experienced a 29% increase, highlighting its importance in the company’s success.

Productivity and Business Processes, another key area, saw revenue of $20.3 billion, up 11%. This growth was driven by strong performances in Office 365 Commercial and Dynamics 365, which grew 13% and 19% respectively. Meanwhile, LinkedIn’s revenue rose by 10%, further contributing to the segment’s success.

The More Personal Computing segment also performed well, with a 14% increase in revenue, reaching $15.9 billion. Notably, Xbox content and services experienced a 61% surge, largely influenced by the Activision acquisition.

CEO Satya Nadella commented on the company’s focus on innovation and meeting customer needs, “As a platform company, we are focused on meeting the mission-critical needs of our customers across our at-scale platforms today, while also ensuring we lead the AI era.”

CFO Amy Hood highlighted record bookings and a strong Microsoft Cloud performance, with quarterly revenue reaching $36.8 billion, up 21%.

Microsoft fiscal year results show that the company is strategically leveraging cloud services and AI, ensuring growth and innovation. 

Microsoft returned $8.4 billion to shareholders in the fourth quarter through share repurchases and dividends, delivering value to investors.

In fact, it’s predicted that Africa’s digital economy, fueled by hundreds of active tech hubs, could contribute nearly $180 billion to the region’s growth by the mid-decade.

Having produced several industry shakers in the fintech space, it’s perhaps not surprising that the continent has become a very attractive option for startup investment.

According to BCG, the rate of growth in the number of African startups receiving financial backing between 2015 and 2022 was nearly six times faster than the global average. And during the first nine months of 2023 alone, these tech ventures raised around $1.4 billion.

With SMEs already accounting for up to 90 percent of businesses in Sub-Saharan Africa, much focus is placed on supporting this vital sector of the economy to reach the levels of success we’ve come to associate with Africa’s tenacious startup culture.

The question is – how do we empower the small business down the road to rise to the ranks of a Flutterwave in Nigeria or M-KOPA in Kenya?

The cloud effect

Much of the answer lies with providing these enterprises with the technology they need to drive operational efficiencies and scale their operations.

Cloud technology, in the form of Microsoft Azure for example, has played an important part over the years in supporting Flutterwave’s core operations.

Now as the company seeks to build on its success it is again looking to the expansion power of the cloud, building its next generation platform on Azure so that it can process high volume payments at scale, while also ensuring a seamless and secure payment experience for its clients.

Kenyan startup, M-KOPA, recently raised $250 million in debt equity. The company, which provides digital financial services to underbanked consumers, also relies heavily on the computing capacity of the cloud.

In fact, its ability to process 500 payments per minute makes it possible for the startup to provide 3 million people across Africa with access to essential services such as solar power systems, digital loans, health insurance and smartphones.

Beyond fintech, small businesses are having a transformative impact on other key sectors such as healthcare. And as with Flutterwave and M-KOPA, many of these enterprises have something important in common – the backing of powerful technology.

In South Africa, Omnisient, is helping to elevate crucial decision-making across healthcare systems through a recent partnership with Altron HealthTech.

The startup has created a platform that facilitates data collaboration across records and datasets and can securely match anonymised patient information in a safe environment for analysis.

This allows Altron’s healthcare partners more insight into disease patterns and can improve treatments and medication efficacy. In the long term, Altron HealthTech hopes to use this information to support the healthcare industry in determining where new clinics, pharmacies and hospitals need to be built.

Another startup leaving its mark in the healthcare space, Zen Dawa, is helping to reimagine pharmaceutical operations across both rural and urban areas of East Africa by creating online access to pharmaceutical offerings as well as financing solutions for small businesses and pharmacy shops.

By making use of Microsoft’s robust AI platform built on Azure, the startup is helping to contribute positively to the availability of essential medicines across East Africa.

There are still many questions to be answered, however, when it comes to drawing a larger number of the continent’s SMEs into the digital economy. Africa is still behind other regions in the world when it comes to digital infrastructure coverage, access, and quality. We are also still battling a shortage of skills and inadequate regulatory policy environments. In fact, with just 22 percent of the population online, Sub-Saharan Africa is still the world’s least connected region.

Supercharging Africa’s dynamic startup ecosystem

Addressing these issues will rely in no small part on the development of strategic alliances across both public and private sectors. These collaborations are pivotal to the development of comprehensive solutions to the multi-faceted challenges faced by small businesses in Africa.

The FGN-ALAT digital Skillnovation Programme is a great example of this. A partnership between the Federal Government of Nigeria, Wema Bank, Get Funded Africa and Microsoft, the programme aims to train and equip one million micro, small and medium enterprises (MSMEs) across the country by the end of June 2024. Already 350, 000 MSMEs have been impacted.

Beyond skills, these businesses require business mentorship and access to market and finance opportunities – through effective collaboration the initiative aims to address all these needs in a holistic manner, facilitating opportunities, for example, to receive debt financing, equity investment and grants.

And by tapping into the distribution networks of multi-national corporations, the opportunity for strategic alliances to reach vast numbers of SMEs across the continent is significant.

A recent partnership between Orange and Microsoft aims to accelerate the digitisation of small businesses in Africa by leveraging the telco’s formidable network to provide SMEs with access to Microsoft solutions such as Microsoft 365, Copilot, Azure, and Dynamics 365.

Similarly, the FAST Accelerator programme, which was launched together by Flapmax and Microsoft, helps startups scale rapidly and access new growth opportunities by bringing together cutting-edge technologies and business development strategies.

Accelerators such as these with vast resources at their disposal are experiencing considerable success in helping startups like Zen Dawa to scale.

In fact, with the support of the programme, the company now plans to dramatically extend the number of pharmacies it services from 520 to 10,000 by the end of the year.

The more Africa can produce successful collaborations such as these, the more we’ll start to see a greater number of small businesses emerge as powerful economic contributors.

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These strategic partnerships hold the key to unlocking immense potential across sectors, empowering entrepreneurial ventures to drive new digital solutions to long-standing challenges and creating a ripple effect that reverberates throughout the continent.