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PagerDuty Partners with Tata Consultancy Services

PagerDuty announced a global alliance with Tata Consulting Services, a global IT services, consulting, and business solutions organization, to develop a new generation of IT solutions grounded in AI and automation and designed to accelerate digital transformation initiatives and modernize operations across key verticals.

PagerDuty will work with TCS to build a “PagerDuty-TCS Solutions Service Center,” focusing on the development and implementation of digital solutions for joint customers across Infrastructure Managed Services, Cloud Migration, ITOps and DevOps Modernization, Customer Service, Security Operations, and Industry-Specific Operations.

To address the new needs and accelerated growth paths of companies worldwide, TCS established a Technology Group to work with companies like PagerDuty to devise and implement modern, innovative IT solutions across finance, retail, technology, telecom, media, manufacturing, and more.

TCS and PagerDuty will help transform customers’ digital operations by bringing PagerDuty’s Digital Operations Management platform to enterprises worldwide, providing new capabilities for event management, incident response, and AIOps, as well as advanced insights and analytics. PagerDuty enables teams to confidently scale services and accelerate digital initiatives using its AI and automation, making it possible for organizations to resolve incidents up to 70 percent faster. Working together, the two companies will help customers transform operations from slow, manual, and reactive to real-time, automated, and intelligent, which is critical for success in today’s always-on digital world.

As part of this new partnership, TCS will join PagerDuty’s Partner Program for Solution Partners and Managed Service Providers where they can provide distribution, reselling, professional services, and managed services worldwide and create new solutions for customers’ needs.

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PagerDuty Partners with Tata Consultancy Services

PagerDuty announced a global alliance with Tata Consulting Services, a global IT services, consulting, and business solutions organization, to develop a new generation of IT solutions grounded in AI and automation and designed to accelerate digital transformation initiatives and modernize operations across key verticals.

PagerDuty will work with TCS to build a “PagerDuty-TCS Solutions Service Center,” focusing on the development and implementation of digital solutions for joint customers across Infrastructure Managed Services, Cloud Migration, ITOps and DevOps Modernization, Customer Service, Security Operations, and Industry-Specific Operations.

To address the new needs and accelerated growth paths of companies worldwide, TCS established a Technology Group to work with companies like PagerDuty to devise and implement modern, innovative IT solutions across finance, retail, technology, telecom, media, manufacturing, and more.

TCS and PagerDuty will help transform customers’ digital operations by bringing PagerDuty’s Digital Operations Management platform to enterprises worldwide, providing new capabilities for event management, incident response, and AIOps, as well as advanced insights and analytics. PagerDuty enables teams to confidently scale services and accelerate digital initiatives using its AI and automation, making it possible for organizations to resolve incidents up to 70 percent faster. Working together, the two companies will help customers transform operations from slow, manual, and reactive to real-time, automated, and intelligent, which is critical for success in today’s always-on digital world.

As part of this new partnership, TCS will join PagerDuty’s Partner Program for Solution Partners and Managed Service Providers where they can provide distribution, reselling, professional services, and managed services worldwide and create new solutions for customers’ needs.

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While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...