Latest news with #Terraform
Hans India
11-06-2025
- Business
- Hans India
The serverless shift: Scaling smarter with fewer resources and no infrastructure bloat
In today's fast-paced digital era, agility, scalability, and efficiency have become critical imperatives rather than luxuries. Serverless computing, which eliminates infrastructure management and allows developers to focus purely on delivering value, is emerging as a powerful response to these demands. At the forefront of this transformation is Anil Kumar Manukonda, a cloud innovator who has been instrumental in architecting high-performance, cost-effective solutions for modern enterprises. 'Serverless is more than a trend—it's a mindset shift,' says Anil. 'It empowers teams to build smarter, faster, and with fewer operational burdens. The true value lies in accelerating innovation without compromising reliability or security.' Anil's pioneering work includes the design of a mission-critical, event-driven data ingestion pipeline using AWS Lambda, Kinesis Data Streams, and DynamoDB. The system now processes over 200,000 events per hour with sub-250ms latency—a dramatic improvement over the EC2-based batch system it replaced. 'We achieved a 50% reduction in processing time while completely eliminating downtime,' he explains. By implementing provisioned concurrency, cold-start latency dropped by 90%, ensuring consistent performance even during peak traffic. His leadership extended to transforming a legacy reporting microservice into a serverless REST API with API Gateway, Lambda, and RDS Proxy. The result? A 300% increase in throughput and $120,000 in annual cloud savings. Anil also introduced a centralized governance framework using Terraform modules and AWS Config Rules, enabling consistent, compliant deployments across five critical business applications. The impacts are measurable: 30% higher developer productivity, 80% fewer budget overruns, and a 40% cut in incident response time—thanks in part to automation using SNS and DynamoDB streams. One of his most ambitious projects involved rearchitecting an order processing system with SQS and Lambda, scaling it to 250,000 orders per day and reducing fulfillment times from five minutes to just 30 seconds. 'Serverless lets you scale from zero to massive workloads with grace,' Anil notes. 'But success also means solving new challenges—latency, state management, and security.' His solutions include hybrid warming strategies and IAM automation across multi-account AWS environments. Anil's contributions extend beyond the workplace. He's the author of influential publications like Designing Highly Available and Scalable Web Applications Using Azure Functions and Automating Infrastructure Provisioning Using Terraform. He sees the future of cloud computing in AI-driven serverless functions, edge-native services, and function mesh architectures. 'Serverless is no longer just about cost savings,' he emphasizes. 'It's about enabling resilient, intelligent, and scalable architectures that redefine what's possible.' Through vision, execution, and thought leadership, Anil Kumar Manukonda is not just navigating the serverless frontier—he's charting its course.
Yahoo
10-06-2025
- Business
- Yahoo
IBM's Software Segment Growth Picks Up: A Sign of More Upside?
International Business Machines Corporation's IBM Software segment is increasingly gaining traction with an increasing demand for a focused portfolio that provides end-to-end hybrid cloud and AI capabilities. The segment revenues in the first quarter of 2025 increased to $6.34 billion from $5.9 billion a year ago, driven by growth in Hybrid Platform & Solutions, Red Hat, Automation, Data & AI and Transaction Processing, backed by a strong focus on product buyout of California-based software company HashiCorp Inc. for an enterprise value of $6.4 billion has brought powerful synergies across key strategic growth areas of IBM, such as Red Hat, watsonx and IT Automation solutions. HashiCorp's tools, Terraform and Vault, have been integrated with IBM's Red Hat platforms to enhance cloud infrastructure management and hybrid cloud security, including for IBM Z. The addition of the new cutting-edge products has significantly improved IBM Software's ability to help organizations optimize IT spending, reduce cloud costs and boost overall efficiency through automation. With a surge in traditional cloud-native workloads and associated applications, along with a rise in generative AI deployment, there is a radical expansion in the number of cloud workloads that enterprises are currently managing. This has resulted in heterogeneous, dynamic and complex infrastructure strategies, which, in turn, have led firms to undertake a cloud-agnostic and interoperable approach to highly secure multi-cloud management. Our revenue estimate for the segment is pegged at $7.52 billion, indicating year-over-year growth of 11.6% at constant currency. Much of this growth is expected to come from Hybrid Cloud businesses (up 23% to $1.9 billion) and Automation (up 15.4% to $1.87 billion). Microsoft Corporation MSFT has doubled down on the cloud computing opportunity. Azure's increased availability in more than 60 announced regions globally has strengthened Microsoft's competitive position in the cloud computing market. Operating through a vast network of global data centers that ensure high availability and reliability for applications, Azure offers seamless access to all the services included in the portal once customers subscribe to it. Subscribers can use these services to create cloud-based resources, such as virtual machines and databases, which can then be assembled into running environments used to host workloads and store Inc. AMZN enjoys a dominant position in the cloud-computing market, particularly in the IaaS space, thanks to Amazon Web Services (AWS), which is one of its high-margin-generating businesses. AWS is the world's most comprehensive and broadly adopted on-demand cloud computing platform, offering more than 200 fully featured services from data centers globally. Millions of customers, including the fastest-growing startups, largest enterprises and leading government agencies, are using AWS to lower costs, become more agile and innovate faster. It reportedly offers the widest variety of databases that are purpose-built for different types of applications to enable subscribers to choose the right tool for the job. IBM has surged 60.7% over the past year compared with no change for the industry. Image Source: Zacks Investment Research From a valuation standpoint, IBM trades at a forward price-to-sales ratio of 3.74, above the industry. Image Source: Zacks Investment Research The Zacks Consensus Estimate for IBM's earnings for 2025 has been on the rise over the past 30 days. Image Source: Zacks Investment Research IBM currently carries a Zacks Rank #3 (Hold). You can see the complete list of today's Zacks #1 Rank (Strong Buy) stocks here. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Inc. (AMZN) : Free Stock Analysis Report Microsoft Corporation (MSFT) : Free Stock Analysis Report International Business Machines Corporation (IBM) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research
The Hindu
09-06-2025
- Business
- The Hindu
International webinar held on AI
An international Webinar Conference titled — Empowering the next generation: A deep dive into AI and Azure Cloud DevOps Technologies — was organised by the Anantha Lakshmi Institute of Technology & Sciences (ALTS). The virtual event attracted over 200 students from Jawaharlal Nehru Technological University – Anantapur (JNTUA) and various other academic, industrial and international participants. United Kingdom based senior consultant Jaganmohan Naidu highlighted the practical applications and transformational impact of Artificial Intelligence and Azure Cloud DevOps in the modern tech landscape during the conference. The webinar focused on key industry-relevant topics, including Cloud Infrastructure Automation, CI/CD Pipelines (Continuous Integration and Continuous Deployment), tools such as Ansible, Terraform, Jenkins, Git, Docker, and Kubernetes and Automation using Bash scripting, ALTS principal B. Ramesh Babu said in a release. A live demonstration of an end-to-end CI/CD pipeline was also showcased, offering students real-time insights into software deployment processes. The session was aimed to bridge the gap between academic knowledge and industry practices, equipping students with skills critical to the digital transformation era.
Time of India
05-06-2025
- Business
- Time of India
Building tech-driven startups: LSET's role in shaping the future of AI and cybersecurity
As artificial intelligence and cybersecurity reshape industries, the path from concept to commercial product is becoming increasingly complex. The London School of Emerging Technology (LSET) is responding with an integrated approach that combines deep technical education with practical startup support—positioning itself not just as a training ground, but as a launchpad for innovation in high-impact technology sectors. LSET's Innovation Lab serves as a crucible for early-stage ideas, giving founders access to infrastructure for rapid prototyping and technical validation. This includes access to GPU-enabled environments for AI model development and secure sandboxes for cybersecurity testing —resources typically out of reach for early-stage entrepreneurs. Complementing this is the Startup Incubator , which supports ventures tackling technical challenges such as real-time threat detection, adversarial AI defense, or scalable machine learning pipelines. Startups receive technical mentorship from domain experts and engineers, enabling them to move from whiteboard concepts to deployable solutions faster and with greater resilience. Once technical foundations are validated, the Accelerator Program provides the next stage: market integration. With a focus on enterprise-grade architecture, regulatory readiness, and integration with cloud-native ecosystems, the program emphasizes not just innovation, but execution. A key differentiator is LSET's talent pipeline. Startups within its ecosystem gain direct access to graduates of intensive programs in full-stack software engineering, AI, cybersecurity, cloud computing, and DevOps. These individuals are trained on current frameworks—ranging from Kubernetes and Terraform to PyTorch and Transformer-based NLP models—and are immediately deployable. In fields where technical recruitment is often a bottleneck, this embedded talent network allows startups to build, iterate, and scale with less reliance on external hiring markets. Rather than treating cybersecurity and AI as adjacent specializations, LSET integrates them into every level of its curriculum and startup programs. AI initiatives focus on ethical AI deployment, real-time model interpretability, and the security of machine learning systems themselves—key concerns in regulated industries. Cybersecurity work at LSET spans threat modeling, penetration testing, and secure software development life cycles (SDLCs). Startups working in this space benefit from active collaboration with cybersecurity professionals and access to threat intelligence tools, creating a continuous feedback loop between innovation and protection. Technical Infrastructure for Global Founders For international founders, establishing a presence in the UK comes with logistical and regulatory complexity. For UK Innovator Founder Visa, LSET works closely with trusted immigration partners who can guide applicants through the endorsement process. This ensures that founders of AI tools or cybersecurity platforms are evaluated by peers with relevant technical fluency. Moreover, partnerships with legal and compliance experts ensure startups meet UK data protection and infrastructure standards—vital for ventures working with sensitive data or deploying in enterprise environments. London's positioning as a global tech hub offers significant downstream advantages to LSET-affiliated startups. Proximity to fintechs, research institutions, and government-backed R&D funding creates opportunities for pilot programs, integrations, and policy-shaping dialogues—especially important in fast-moving domains like AI safety and zero-trust architecture. Startups can access UK innovation grants, participate in sector-specific expos, and collaborate with larger firms exploring AI-driven automation or advanced threat prevention systems. What makes LSET stand out is not the promise of support, but the intentional design of infrastructure around deep-tech venture building. The integration of technical labs, skilled human capital, legal scaffolding, and market connectivity forms a coherent stack—enabling startups to focus on solving hard problems instead of piecing together fragmented services. In an era where AI systems require fine-tuned deployment and cybersecurity solutions must evolve in real time, LSET offers a model that is aligned with how modern tech companies are built: fast, focused, and ready for complexity.
Business Insider
01-06-2025
- Business
- Business Insider
Should you join a startup or Big Tech out of college? An OpenAI engineer weighs in.
Janvi Kalra, an engineer at OpenAI, thinks students should diversify their experiences after college, with at least one internship at a Big Tech firm and another at a startup. That way, she said on an episode of The Pragmatic Engineer podcast, you have a better idea of what career path you should take. Kalra interned with Microsoft and Google. She then worked for productivity startup Coda before transitioning into her current role at OpenAI. She said both tracks have advantages and disadvantages. "The way I saw it, the upside of going to Big Tech was, first, you learn how to build reliable software for scale," Kalra said. "It's very different to build something that works, versus build something that works when it's swarmed with millions of requests from around the world and Redis happens to be down at the same time. Very different skills." Another good thing about Big Tech, she added, was the amount of time she got to work on projects that were under less pressure to immediately succeed. "Different upside for Big Tech in general was that you do get to work on more moonshot projects that aren't making money today," Kalra said. "They don't have the same existential crisis that startups do." And then, of course, more practically, were the financial upsides — including potential prestige. "There are also practical, good reasons to go to Big Tech," Kalra added. "I'd get my green card faster. I'd get paid more on average. And the unfortunate reality, I think, is that the role does hold more weight. People are more excited about hiring an L5 Google engineer versus an L5 from a startup, especially if that startup doesn't become very successful." Still, Kalra said, there are "great reasons" to go to a startup, like the sheer amount of experience you'll get with programming itself. "First, you just ship so much code, right?" she said. "There are more problems than people, and so you get access to these zero-to-one greenfield problems that you wouldn't necessarily get at Big Tech maybe where there are more people than problems." She said another advantage is the wide array of challenges that'll be thrown at you, allowing you to develop expertise on several fronts. "Second is the breadth of skills — and this is not just in the software engineering space," she said. "Right from a software engineering space, maybe one quarter you're working on a growth hacking front-end feature, and the next quarter you're writing Terraform. But even in terms of the non-technical skills, you get an insight into how the business works." Startups also afford you more responsibility, along with a better chance of materially affecting the company with your work, she said. "You just get more agency in what you work on," she said. "You get the opportunity to propose ideas that you think would be impactful for the business and go execute on it." Given the opportunity, Kalra said it's best to gain experience with both startups and larger firms as early in your career as possible. "Given that Big Tech and startups are such different experiences and you learn so much at each, it would be more educational to do one startup internship and one Big Tech internship to get a very robust overview of what both experiences are like very early," she said.
