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Flipkart Wins CNCF End User Case Study Contest for Kubernetes and Chaos Engineering Scale

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Integration of LitmusChaos with Kubernetes-native architecture drives production-grade reliability for India’s largest e-commerce platform

Key Highlights

One of India’s largest e-commerce platforms, Flipkart, won the CNCF End User Case Study Contest for KubeCon + CloudNativeCon India 2026.The award recognizes the team’s custom, multi-tenant chaos engineering platform built on Kubernetes and the CNCF incubating project, LitmusChaos.The solution hardens microservices estates by executing approximately 90% of chaos experiments in staging environments ahead of high-traffic festive sales.The team contributed five core fixes and enhancements back to the upstream LitmusChaos project, benefiting the entire cloud native community.

MUMBAI, India, June 18, 2026 /PRNewswire/ — KUBECON + CLOUDNATIVECON INDIA — The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, today announced Flipkart, one of India’s largest e-commerce platforms, as the winner of the CNCF End User Case Study Contest for KubeCon + CloudNativeCon India 2026.

Flipkart won the contest for its central reliability engineering (CRE) team’s work in building a centralized, scalable chaos engineering platform leveraging its core Kubernetes infrastructure and the Kubernetes-native orchestration of CNCF incubating project, LitmusChaos. Faced with the complexity of operating hundreds of tightly coupled microservices across Kubernetes and VM workloads, Flipkart leveraged the extensibility of Kubernetes-native orchestration. They evaluated multiple industry options before selecting LitmusChaos for its intuitive user interface, robust extensibility, and automated resilience probes.

“Resilience is table stakes for running microservices at scale,” said Chris Aniszczyk, CTO, CNCF. “Flipkart’s systematic practice with Kubernetes and LitmusChaos demonstrates how a vendor-neutral approach eliminates the guesswork of fault injection and hardens the open source foundation. Their five upstream contributions are the real win for community collaboration.”

As microservices architectures become more tightly integrated, proactive fault injection is essential to prevent cascading failures during traffic surges. Flipkart addressed the issue by engineering four custom extensions to LitmusChaos: a hybrid multi-tenant architecture, a DaemonSet-based high-availability model for parallel injection, a Script Runner fault for dynamic target selection, and an internal hybrid extension to support legacy virtual machine workloads.

“Winning the CNCF End User Case Study contest validates our team’s commitment to treating system outages as a standard, systematic procedure,” said Aditya Sridasyam, software development engineer 2, Flipkart. “By leveraging the extensibility of vendor-neutral Kubernetes and LitmusChaos, as well as engineering our own custom hybrid platform, we’ve successfully hardened our massive microservices estate ahead of high-traffic festive sales, and we are proud to contribute our work back to the open source community.”

Flipkart operates an extensive digital estate serving hundreds of millions of consumers. To move past treating system outages as an afterthought, the company evaluated multiple industry tools before selecting LitmusChaos for its Kubernetes-native orchestration, intuitive user interface, extensibility, and automated resilience probes. The CRE team implemented a unique subscriber model deployed in a central namespace, balancing cluster-wide efficiency with absolute tenant isolation.

To resolve helper-pod scheduling bottlenecks during core operations, the team replaced traditional on-demand pods with a persistent, node-level DaemonSet that runs concurrent injections via parallel shell sessions. The database team applied the platform’s new Script Runner fault to systematically verify leader-election behavior in high-availability environments. This initiative established a measurable mindset shift across Flipkart, migrating operational teams from reactive panic to standard procedure by utilizing rehearsed failure scenarios as the direct foundation for updated incident runbooks. By executing about 90% of the infrastructure chaos experiments directly within Kubernetes staging clusters, Flipkart successfully hardened their microservices, eliminated cluster over-provisioning bottlenecks, and validated their observability frameworks ahead of massive traffic surges like India’s flagship festive sales.

Flipkart has committed to open source sustainability by returning five core contributions back to the upstream LitmusChaos project, solving long-standing community challenges including database index fixes for project-scoped probe uniqueness, duplicate-name validation repairs during tag edits, and workflow configuration fixes within custom image registries. Looking forward, Flipkart intends to integrate automated chaos testing directly into its continuous integration and deployment pipelines as a mandatory software development lifecycle phase while planning to open source its custom DaemonSet high-availability injection model for the broader cloud native community.

Flipkart’s achievement was announced on stage during a keynote session at KubeCon + CloudNativeCon India, where Sridasyam delivered a keynote to showcase the details of their successful use case.

To review the complete architectural implementation and downstream results, read the full Flipkart case study.

Additional Resources

CNCF NewsletterCNCF Twitter/XLearn About CNCF MembershipLearn About the CNCF End User Community

About Cloud Native Computing Foundation

Cloud native computing empowers organizations to build and run scalable applications with an open source software stack in public, private, and hybrid clouds. The Cloud Native Computing Foundation (CNCF) hosts critical components of the global technology infrastructure, including Kubernetes, Prometheus, and Envoy. CNCF brings together the industry’s top developers, end users, and vendors and runs the largest open source developer conferences in the world. Supported by nearly 800 members, including the world’s largest cloud computing and software companies, as well as over 200 innovative startups, CNCF is part of the nonprofit Linux Foundation. For more information, please visit www.cncf.io.

Media Contact
pr@cncf.io

 

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Hong Kong banking sector posts strong 2025 results as structural shifts open next wave of growth, says KPMG

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Report identifies fixed income and currencies, gold, transition finance and family offices as the sector’s next growth frontiers — with AI governance and cyber resilience critical to long-term trust

HONG KONG, June 18, 2026 /PRNewswire/ — Hong Kong banks delivered solid headline performance in 2025, with the total assets of all licensed banks increasing by 7.1% to HK$26 trillion and operating profit before impairment charges rising by 5.5% to HK$337 billion. While lower interest rates compressed net interest margins as rate cuts took effect, the sector continued to demonstrate balance sheet resilience. Looking forward, challenges including an uncertain interest rate environment, persistent softness in commercial real estate and intense competition for deposits may weigh on profitability. Maintaining strong asset quality and prudent risk management will remain essential to preserving earnings and balance sheet resilience. The newly launched KPMG’s Hong Kong Banking Report 2026 explores the trends, opportunities and risks shaping the next phase of the sector’s development.

While maintaining resilience remains a key priority, the report suggests that the next phase of growth for Hong Kong banks will increasingly be driven by their ability to adapt to structural shifts currently underway.

The report highlights significant opportunities in Hong Kong’s fixed income and currency (FIC) markets, with the SFC-HKMA Roadmap providing a strong foundation for the next stage of market development. Hong Kong already accounts for nearly 30% of Asian international bond issuances, has topped the regional league table for nine of the past ten years, and is the world’s fourth-largest foreign exchange market by daily turnover. As Hong Kong deepens its FIC foundations, maintaining strong standards of conduct, transparency, and accountability will be essential to reinforcing the city’s position as a trusted international financial centre.

Jia Ning Song, Head of Banking and Capital Markets, Hong Kong SAR, KPMG China, says: “A fully integrated gold value chain is a natural and significant extension of Hong Kong’s fixed income and currency markets, and the opportunity for banks is substantial, spanning financing, custody, clearing and the development of new products for international and Chinese Mainland clients alike. History shows that what distinguishes a trading hub of lasting importance from one that simply attracts flows is the quality of its foundations. Trust, benchmark integrity and clear standards of accountability are what allow a market to deepen over time and withstand periods of stress. By embedding these standards now, Hong Kong can ensure this next phase of growth strengthens, rather than tests, its standing as a trusted international financial centre.”

Transition finance was identified as another major opportunity. Hong Kong is well positioned to become a leading centre for transition finance as the Chinese Mainland channels increasing capital into technology and industrial decarbonisation. Banks that can demonstrate credible methodologies, robust assessments of transition plans, and clear transition frameworks will be best placed to connect these financing needs with international capital and capture emerging growth opportunities.

Paul McSheaffrey, Senior Banking Partner, Hong Kong SAR, KPMG China, says: “The outlook for Hong Kong’s banking sector is increasingly being shaped by structural changes. As Hong Kong continues to strengthen its role as an international financial centre and a bridge between global capital and the Chinese Mainland, opportunities are emerging across capital markets, transition finance, and technology-enabled banking. At a time when traditional revenue drivers such as net interest margins remain under pressure, banks that successfully capture these opportunities while maintaining strong governance, trust, and resilience will be best positioned to drive sustainable growth.”

The report also underscores the importance of maintaining trust and resilience as the banking sector evolves. As new technologies and financing models reshape the industry, banks will need to balance innovation with strong governance and risk management.

The adoption of artificial intelligence (AI) is entering a new phase. As banks move beyond isolated AI pilots, the harder challenge is no longer the technology but the governance, model risk management and accountability needed to scale safely across the enterprise.

Angel Mok, Partner, Financial Services Technology Consulting, Hong Kong SAR, KPMG China, says: “Generating sustainable value from AI requires more than technology investment alone. Banks that combine innovation with strong governance, accountability, and workforce readiness will be best positioned to scale AI across the enterprise with regulatory credibility and confidence.”

As artificial intelligence accelerates the pace and sophistication of cyber threats, banks are under increasing pressure to strengthen their cyber resilience capabilities. While strong security controls remain essential, regulators are placing greater emphasis on intelligence-led risk management and the embedding of governance and accountability across all lines of defence. Expectations are also expanding beyond prevention, with banks increasingly required to demonstrate their ability to respond to, contain and recover from cyber incidents while maintaining critical operations.

Scan the QR code to download the report:

-Ends-

About KPMG

KPMG in China has offices located in 31 cities with over 14,000 partners and staff, in Beijing, Changchun, Changsha, Chengdu, Chongqing, Dalian, Dongguan, Foshan, Fuzhou, Guangzhou, Haikou, Hangzhou, Hefei, Jinan, Nanjing, Nantong, Ningbo, Qingdao, Shanghai, Shenyang, Shenzhen, Suzhou, Taiyuan, Tianjin, Wuhan, Wuxi, Xiamen, Xi’an, Zhengzhou, Hong Kong SAR and Macau SAR. It started operations in Hong Kong in 1945. In 1992, KPMG became the first international accounting network to be granted a joint venture licence in the Chinese Mainland. In 2012, KPMG became the first among the “Big Four” in the Chinese Mainland to convert from a joint venture to a special general partnership.

KPMG is a global organisation of independent professional services firms providing Audit, Tax and Advisory services. KPMG is the brand under which the member firms of KPMG International Limited (“KPMG International”) operate and provide professional services. “KPMG” is used to refer to individual member firms within the KPMG organisation or to one or more member firms collectively.

KPMG firms operate in 138 countries and territories with more than 276,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. Each KPMG member firm is responsible for its own obligations and liabilities.

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Yotta and MarketsandMarkets Reveal India’s AI Execution Gap — and the Sovereign Infrastructure Closing It

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 “New whitepaper finds that while 87% of Indian enterprises have moved past AI pilots, infrastructure constraints — not strategy — are the primary barrier to production-scale deployment”

DELRAY BEACH, Fla., June 18, 2026 /PRNewswire/ — MarketsandMarkets™, in collaboration with Yotta, has released a new whitepaper titled “AI Adoption Landscape in Indian Enterprises: From Readiness to Realization”, delivering a data-driven assessment of where India’s enterprise AI ambitions are succeeding — and where they are stalling.

The research finds India’s AI market on a steep growth curve, projected to expand nearly 7x from USD 17.87 billion in 2026 to USD 119.44 billion by 2032. Yet despite ranking among the top globally in AI operating environment and enterprise adoption, India contributes just 2% of global large-scale AI systems — a stark indicator that readiness and execution remain disconnected.

The Infrastructure Deficit Is the Critical Variable

The whitepaper identifies compute infrastructure as the decisive gap. India currently ranks 68th globally on infrastructure — despite ranking 3rd in operating environment. Limited access to high-throughput GPU clusters, fragmented AI pipelines, and high compute costs on foreign hyperscalers are slowing model iteration, increasing compliance risk, and constraining the economics of large-scale AI deployment. Yotta’s Shakti Cloud directly addresses this gap by delivering AI-native, GPU-accelerated cloud infrastructure built entirely within India, powered by NVIDIA H100 and A100 clusters, with with next-generation GPU architectures coming soon.

The Compute Layer India’s Enterprises Have Been Missing

With 87% of organizations now in structured AI deployment, demand has shifted from experimentation to production-grade infrastructure that can perform across BFSI, healthcare, manufacturing, and the public sector. Yotta’s sovereign compute ecosystem including Shakti Cloud and Shakti Studio enables enterprises to reduce total cost of ownership, optimize GPU utilization, and accelerate deployment cycles, making large-scale AI operationally and economically viable within India’s borders.

The Sovereignty Imperative: India’s Next AI Frontier

The whitepaper makes clear that India’s next phase of AI leadership will not be won on talent or policy alone. Sovereign, scalable compute infrastructure aligned to the IndiaAI Mission is the foundational layer that will determine whether India becomes a net producer, not just a consumer, of global AI systems. Yotta is positioned as that foundational layer: combining high-performance NVIDIA-accelerated infrastructure, data sovereignty, and ecosystem partnerships to enable enterprises, startups, and public institutions to build AI that is secure, scalable, and globally competitive.

Research Methodology

This study is based on a combination of primary research (industry experts, enterprise stakeholders, and technology providers) and secondary research, including company publications, whitepapers, industry reports, and proprietary MarketsandMarkets’ analysis frameworks. The methodology incorporates:

Market sizing and forecasting across AI adoption segmentsAnalysis of enterprise AI maturity and deployment trendsEvaluation of infrastructure, compute, and ecosystem readinessCase studies and real-world implementation insights

About MarketsandMarkets™

MarketsandMarkets™ is a global market research and consulting firm specializing in high-growth niche markets. Through its Knowledge Store platform, the company provides actionable insights across 200,000+ markets, enabling organizations to identify opportunities, benchmark strategies, and drive growth in a competitive landscape.

Contact:
Mr. Rohan Salgarkar
MarketsandMarkets™ INC.
1615 South Congress Ave.
Suite 103, Delray Beach, FL 33445
USA: +1-888-600-6441
Email: sales@marketsandmarkets.com
Visit Our Website: https://www.marketsandmarkets.com

About Yotta

Yotta Data Services is a sovereign cloud infrastructure and platform services provider, offering cloud, AI cloud, data center hosting, connectivity, media tech and cybersecurity services; managed applications; and a wide range of managed IT services. Yotta operates its cloud regions at its hyperscale data center parks in Panvel (Navi Mumbai) and Greater Noida (Delhi NCR). Yotta’s homegrown, open-source-based, feature-rich Sovereign hyperscale cloud, Yntraa, is MeitY empanelled (VCC and GCC) and is also deployed in large government-owned CSPs on a white labelled / PPP model. In addition, Yotta has launched Shakti Cloud, a cutting-edge platform that leverages advanced AI capabilities, providing enterprises with a comprehensive suite of AI services, including AI labs, AI workspaces, Shakti Studio – AI Inference platform and access to NVIDIA’s NIM services, alongside Kubernetes clusters with GPU resources. Yotta is the only NVIDIA Cloud Partner (NCP) across the APAC region to be part of the NVIDIA Exemplar cloud initiative and is one of only seven Reference Architecture Platform NCPs across the world.

Yotta has won numerous accolades and certifications, including RBI’s cybersecurity framework and localization framework, ISO 27017 for the protection of personal information in public cloud, ISO 27701 for Privacy Information Management (PIMS), PCI-DSS, SOC2-Type 2, and SOC3. For more information, visit www.yotta.com.

Contact:

Nikhil Pradhan
npradhan@yotta.com

 

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Sumsub Becomes First Verification Platform to Enable AI Agents to Build Compliance Setup

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Teams can now upload AML policies to Claude, ChatGPT, or other AI and get a fully configured Sumsub workflow in minutes, then manage day-to-day tasks

LONDON, June 18, 2026 /PRNewswire/ — Sumsub, a global verification and fraud prevention leader, today announces the launch of its Model Context Protocol (MCP) integration and a new suite of AI agent skills. This makes it the first identity verification and compliance platform to give AI agents — including Claude, ChatGPT, and other leading models — access not just to day-to-day operations, but to the full configuration and setup layer of the platform.

With Sumsub’s agentic experience, an AI agent can take a real compliance policy document and automatically generate a fully configured Sumsub environment. That means even a complex, multi-page PDF with country-specific risk brackets, weighted scoring tables, and conditional logic gets translated into live platform settings — verification levels, risk questionnaires, and onboarding workflows — directly in the customer’s dashboard. A setup that previously could take days can now complete in minutes.

The release marks a significant shift in how compliance setups are built. Until now, configuring a verification platform required significant manual effort from solution architects or technical teams, interpreting AML policies, translating regulatory requirements into platform settings, and building out onboarding workflows by hand.

New capabilities for compliance teams

Policy-to-configuration –  teams upload their AML policy or regulatory requirements and ask an AI agent to configure their Sumsub environment from it. The agent reads the document, determines what is needed, and builds the settings live in the platform;Faster technical integration –  AI agents can handle the technical side of embedding Sumsub into a customer’s application, writing the necessary code and embedding verification as a mandatory step in an onboarding flow in real time;Manage compliance day to day – teams can use AI agents to review applicants, run analytics, generate verification links, and respond to regulatory changes.

“Setting up a compliance workflow has always required significant manual effort, and updating it when regulations change requires even more,” said Andrew Novoselsky, Chief Product Officer at Sumsub. “Our Agentic experience changes that by connecting an AI agent directly to the configuration layer of the platform — a team can take their AML policy, hand it to an AI agent, and have their full environment built automatically. That is a fundamentally different category of capability from what has been available in this space.”

How the integration works

The integration is model-agnostic, designed to work with any leading AI agent. Sumsub has published an open-source set of agent skills on GitHub, installable with a single terminal command.

The MCP integration builds on Sumsub’s broader AI strategy, which includes Summy, an AI Copilot for compliance and fraud teams inside the platform. These capabilities reflect Sumsub’s approach to building compliance infrastructure that works alongside the tools and workflows modern teams already use.

Access to the MCP integration is restricted by separate permission to allow granular control over data. Sensitive actions are performed in isolated sandbox, ensuring that configuration changes are always reviewed and approved by the human.

The integration is available now, with Sumsub becoming the first verification platform to be officially listed on the ChatGPT Apps platform. Further discussions ongoing with additional LLMs. Full documentation and agent skills are publicly available via Sumsub’s developer resources.

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About Sumsub

Sumsub is a leading full-cycle verification platform that enables fraud-free, scalable compliance. Its adaptive, no-code solution covers everything from identity and business verification to ongoing monitoring – quickly adjusting to evolving risks, regulations, and market demands.

Recognized as a Leader by Gartner, Forrester, and IDC, Sumsub combines seamless integration with advanced fraud prevention to deliver industry-leading performance. Sumsub also invests in responsible AI innovation through its AI Academic Program, forming alliances with top academia and institutions globally to enhance the world’s resilience against AI-powered fraud.

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