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Why SLA gaps should not hinder cloud innovation | Computer Weekly

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Why SLA gaps should not hinder cloud innovation | Computer Weekly


As cloud adoption accelerates, organisations rely on Service Level Agreements (SLAs) to define expectations around availability, security, and performance, to access and process data or service use. Yet SLAs often lag behind innovation. For CTOs and CISOs, this misalignment is a strategic risk and they need to work out how to innovate securely when infrastructure guarantees do not reflect the complexity or criticality of modern digital services.

Rather than viewing SLA gaps as blockers, technology leaders should treat them as indicators of where governance, architecture and measurement must evolve. By taking steps to align SLAs with business objectives and complementing them with Experience Level Agreements (XLAs), Key Risk Indicators (KRIs), and Objectives and Key Results (OKRs), organisations can take control and innovate efficiently.

Innovation is advancing faster than SLA maturity

Modern cloud architectures increasingly rely on container orchestration and serverless computing. Technologies like robotic process automation, generative AI, and edge computing are reshaping service delivery. Yet SLA provisions from major cloud providers (e,g, AWS, Azure, Google Cloud) typically offer 99.9% to 99.99% availability, while actual performance varies depending on configuration and dependencies.

To bridge this gap, organisations can use XLAs to measure service quality and user experience. OKRs should align with XLAs to track business goals, while SLAs and KRIs support delivery and risk management. This model then links technical output to business impact and enables leaders to assess whether innovation is translating into measurable outcomes.

Evolving governance to close SLA gaps and curb shadow IT

Public cloud spending is projected to reach $723 billion this year (Gartner). However, SLA limitations can drive unauthorised use, especially in fast-moving domains like generative AI (MIT). Recent incidents involving ChatGPT, xAI (Grok) and GitHub repositories that were accessed through Microsoft Copilot show how sensitive internal data, submitted by staff seeking efficiency, was indexed by public search engines even after repositories were made private.

While cloud platform risk can be managed by restricting users to approved systems this does not eliminate the emergence of shadow IT and staff may still bypass official channels, exposing private data.  Management requires policy, training, and awareness, supported by clear governance and technical controls.

That underlines the need for continuous oversight and proactive governance and monitoring which moves from static compliance to dynamic enablement. This requires the alignment of technical controls with business goals, educating teams on acceptable use, and embedding KRIs into decision-making. Taken together these measures can help prevent shadow IT and maintain operational integrity.

Security and governance: Foundational enablers of cloud innovation

Cloud providers operate under shared responsibility models where infrastructure security is managed by the provider, while data, configuration, and access controls remain the customer’s responsibility.

This reinforces the need for layered security across the stack: hypervisor, application, access, monitoring, and operations. Security as Code, zero-trust architectures, and cloud-native tools such as AWS Security Hub and Google Cloud Security Command Center enable organisations to enhance security. These are also critical for compliance with regulations like the Digital Operational Resilience Act (DORA) and the EU Artificial Intelligence Act.

Governance frameworks such as the NIST Risk Management Framework and COBIT can help link IT with strategy. When integrated with OKRs, XLAs, SLAs, and KRIs, these frameworks can enable a structured approach to managing innovation responsibly.

Architectural strategies to address SLA limitations

Hybrid and multi-cloud strategies increase flexibility, allowing businesses to adjust SLAs through design choices such as microsegmentation, restricted access, and dedicated tenancy. Self-hosting open-source tools like Apache Spark can reduce reliance on commercial providers but need internal skills and governance to manage them. In addition, generative AI platforms may require hybrid configurations to meet data sovereignty requirements. This means that architectural decisions should reflect business needs and risk tolerance, not an idealised pursuit of perfect security.

Strategic withdrawal when SLA gaps are too significant

In some cases, SLA limitations, especially around compliance or sovereignty may require a shift to private cloud or self-hosted solutions. Offerings like AWS Outposts transfer some operational responsibility to the organisation, enabling greater control but requiring enhanced governance and technical capability.

That requires leaders to understand when strategic withdrawal from unmanageable risks can preserve resilience and readiness. Monitoring SLA exposure can then ensure agility and preparedness to allow organisations to re-engage when conditions improve or risks are mitigated.

Conclusion

SLA gaps are therefore not barriers to innovation but indicators of where leadership must act. CTOs and CISOs need to focus not just on meeting technical guarantees but ensuring cloud adoption supports measurable business outcomes.

They can do this by aligning OKRs with XLAs, and underpinning them with SLAs and KRIs, to build governance that is resilient and responsive. In highly regulated yet innovation-reliant economies, technology leaders must balance ambition with accountability. That can mean stepping back when risks are too great, and whether through hybrid cloud, compensating controls, or strategic vendor selection, remaining focused on enabling innovation securely and sustainably.

Ashley Barker, digital strategy and operations expert and Irfan Ahmed, cybersecurity expert, PA Consulting



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In a Big Reversal, Zohran Mamdani Tells NYC Agencies to Use TikTok

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In a Big Reversal, Zohran Mamdani Tells NYC Agencies to Use TikTok


New York City mayor Zohran Mamdani, who rode a social media-fueled campaign to Gracie Mansion, is reversing an Eric Adams–era directive barring TikTok from government-owned devices. Local agencies will now be able to post about their projects on the app, though with new guardrails to protect city networks.

“The Mamdani administration is committed to using every tool in our toolbox to communicate with New Yorkers,” says the email to agencies, obtained by WIRED. “At a moment when people are turning to city government for information about free services, emergency situations, upcoming events, and more, we want to open up new avenues of communication with the public and help deliver the information New Yorkers need.”

In August 2023, then-mayor Adams barred the use of TikTok on government devices, joining the ranks of other state and federal agencies that at the time deemed the app a major security risk. Adams spokesperson Jonah Allon said then that the city’s Cyber Command office had decided that TikTok, which was owned by the Chinese-based company ByteDance, “posed a security threat to the city’s technical networks and directed its removal from city-owned devices.”

The directive resulted in a number of popular city-run accounts shutting down, including accounts for the NYC Departments of Sanitation and Parks and Recreation. As of Tuesday morning, the accounts’ bios read, “This account was operated by NYC until August 2023. It’s no longer monitored.”

Now, these TikTok accounts will be allowed to reopen with a few new rules aimed at protecting the security of NYC’s networks and devices while allowing agencies to communicate with citizens on the popular app. In order to use TikTok, agencies will be required to use separate, government-issued devices for the app that “cannot contain sensitive or restricted data, and they cannot be used for email, internal systems, or privileged access,” according to the email to agencies. Agencies will designate specific staff from media and press offices to run the TikTok accounts with city government emails, not personal ones.

“In a fragmented media landscape, more and more people—especially younger people—are looking beyond the four corners of their television screen to stay informed,” Mamdani said in a statement to WIRED. “Our responsibility is simple: Meet people where they are. That means stepping outside our comfort zones and communicating in ways that reflect how New Yorkers actually live, work, and connect.”

Mamdani’s rule reversal comes after his November election that relied heavily on social media to conduct voter outreach. Mamdani leveraged TikTok to recruit volunteers and amplify his policy platform. Over his first few months in office, Mamdani has continued to leverage social media platforms, publishing a variety of public-service announcements related to city-run programs.

Ahead of dangerous winter weather in January, Mamdani published a video to the official @nycmayor account on Instagram asking New Yorkers to sign up for the city’s free emergency communications program, NotifyNYC. The program netted more than 32,000 new subscribers in the four days after the video was released, according to stats provided by Mamdani’s office. Last year, New York City Emergency Management ran a $240,000 advertising round for NotifyNYC, acquiring around 48,000 new subscribers. Mamdani also created a handful of videos asking New Yorkers to join a Department of Sanitation snow-shoveling program. Around 5,000 people signed up, tripling the number previously enrolled in the program.

The situation has also changed for the app. In January 2026, TikTok finalized a deal with the Trump administration to form a new US-based version of the company run by American investors, including Oracle. The consortium of American investors staved off a nationwide ban of the app.





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The $1 Million Aston Martin Valhalla Makes You Drive Better Than You Thought Possible

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The  Million Aston Martin Valhalla Makes You Drive Better Than You Thought Possible


Yes, it’s a supercar, but it’s also sold very much as a track and road car, one that accommodates a passenger, all of which means road trips and weekend-away stays are very much possible. Well, they would be if there were anywhere at all to store luggage. Lamborghini managed to find some luggage space in its Revuelto design, so there’s no excuse here, really.

The design department otherwise has had a field day. Top-mounted exhausts, dihedral doors, and even an F1-style roof snorkel to accompany that air-braking rear wing deliver an exterior that is nothing short of arresting. Somehow, none of this looks garish or out of place on the Valhalla in person. Everything has a purpose, and nothing seems to scream as flexing or showing off. There’s a cohesion to the Valhalla aesthetic that others might not manage.

Inside, it is much more comfortable than you would imagine. The one-piece carbon-fiber seats look like they are going to be tricky, but on my two-hour road drive, they were supportive and, yes, comfortable. Visibility is surprisingly good, but a camera system is required for the rear view mirror because there’s no rear window. The rest of the interior is minimal, but the steering wheel is excellent (which, as Jony Ive will tell you, is no mean feat) and neatly signals some motorsport cool.

Photograph: Jeremy White

The one gripe for the interior is the dash and center screens, which are clear and responsive, and offer up the usual smartphone mirroring options, but they aren’t luxurious. We’re seeing a lot more effort these days with screen design from Ferrari’s new Luce as well as BMW in the iX3 and i3, but here, Aston has decidedly functional, off-the-shelf-looking displays. If I were parting with a million dollars, I might want more consideration here.

Odin’s Beard

On the road and track is where the Valhalla excels. Impressive doesn’t come close, and, despite the delays, the patience shown by Aston has clearly paid dividends. The ride is superb, as well as being ridiculously quick. The chassis is exceptionally agile, making the car feel alert and light. There are enormous reserves of grip to match the formidable braking and acceleration, and as a result, this is a car that flatters you; it effortlessly seduces you into driving much harder and better than you think you can, all while giving you levels of confidence you wouldn’t think possible.

I’ve driven the Lamborghini Revuelto, and yes, it’s exciting, but also there’s a part of you that is wary—the part that knows that if you don’t keep your wits about you 100 percent of the time, things will go bad very quickly. The Valhalla offers up all of that fun and excitement, but almost none of the trepidation. It is gratifying and intuitive to drive. Anyone can fully enjoy this car, not merely those used to track days. Some will say the engine note is not as full-throated as might be expected in such a car, but others will be having so much fun they won’t care. Nor should they.



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AI Has Flooded All the Weather Apps

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AI Has Flooded All the Weather Apps


You may have noticed a drop of AI in your weather app lately. As companies race to infuse artificial intelligence into every product, the wave has come for the humble weather app.

The Weather Company, operator of the Weather Channel, today released a revamped version of its Storm Radar app, featuring an AI-powered Weather Assistant that lets users customize how they view forecasts and weather maps, toggling between layers like radar, temperature, and weather conditions like wind and lightning.

It can also sync with other apps, like your calendar, to send text notifications and weather summaries that tie info about the upcoming weather into your daily plans. You can stick a voice on it to talk like an old-timey radio weatherman, if you’re into that. Like most weather apps, it gets the data comes from the National Oceanic and Atmospheric Administration (NOAA) and the National Weather Service (NWS).

The app costs $4 per month. It is available on iOS only for now, but the company says an Android version is coming eventually.

“We wanted to build an experience that would be a weather level-up for anybody, really, from a casual observer to a seasoned storm chaser,” says Joe Koval, a senior meteorologist at the Weather Company. “If you’re looking for advice on when the weather will be good to walk your dog tomorrow, you no longer have to look at a bunch of different disparate weather data elements and try to figure out the answer to that question yourself.”

You can find the weather on your phone already, of course. Android and iOS devices typically place the weather prominently beside the time. Google and Apple have both fused their weather apps into their smartphones directly. AI features have since been infused, offering insights and summaries about the day to come.

But there are third-party weather apps galore, like Storm Radar, Carrot Weather, Rain Viewer, and Acme Weather—an app from the former Dark Sky app creators. New weather apps like Rainbow Weather aim to be AI-first. Weather services are also being integrated directly into AI chatbots, like Accuweather, which recently launched an app directly in OpenAI’s ChatGPT.

“Everyone has their idea of what they want in a weather app, what data they’re interested in, how they’re interested in it being presented,” says Adam Grossman, a founder of the DarkSky app. “How do you build a single weather app that works for everybody?”

DarkSky, one of the most popular iOS weather apps, was bought by Apple in 2020 and merged into its Apple Weather service. Grossman eventually left Apple to start Acme Weather, with the goal of making a weather prediction service that better telegraphs the uncertainty of forecasting.

“No matter how good your forecast is, you’re going to be wrong,” Grossman says. “That’s something that weather apps traditionally haven’t done a great job of doing. Our approach is trying to figure out how to add those pieces of context back in.”

Repositories of weather information usually come from government sources, like NOAA or other global weather services that collect data from weather satellites, radar, weather balloons, and on-the-ground instruments. All that data is fed into weather prediction models that simulate the physics of the atmosphere. Those predictions are often generated by resource-intensive supercomputers, but machine learning models have trimmed that processing down, making predictions quicker. (Though sometimes less accurate, which can be accounted for by comparing multiple models.)

Weather apps like Storm Radar and Acme Weather translate that bounty of information by corroborating and compiling the models, then helping to create high-resolution maps and a visual representation of the data, an area where AI can also be particularly useful.



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