Latest news with #Terraform
Business Insider
3 days ago
- 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.
Techday NZ
22-05-2025
- Business
- Techday NZ
BeyondTrust recognised as leader in secrets management
BeyondTrust has been identified as an Overall Leader in the 2025 KuppingerCole Leadership Compass for Enterprise Secrets Management. The independent analyst firm KuppingerCole evaluated a total of 16 vendors in the field of secrets management, highlighting BeyondTrust's capabilities, scalability, and focus on securing both human and non-human identities at enterprise scale. The KuppingerCole report points to the increasing complexity organisations face as they adopt cloud services and pursue digital transformation initiatives. It notes the necessity for robust solutions to manage and secure cloud entitlements, emphasising that security in this evolving environment is paramount. BeyondTrust's approach to secrets management extends beyond conventional vaulting solutions. The company's Password Safe solution is designed to deliver policy-based control and visibility over credentials such as application credentials, API keys, certificates, and other machine secrets. The company has built native integrations with a range of popular platforms, including GitHub Actions, Kubernetes, Terraform, and Ansible. Such integrations are intended to streamline secret injection and lifecycle management, enabling developer-friendly workflows while maintaining security standards. "BeyondTrust's solutions are particularly suited for enterprises demanding rigorous control over privileged and non-privileged accounts across complex environments. Given its strategic enhancements and comprehensive roadmap, BeyondTrust remains a strong choice for enterprises seeking advanced identity management solutions," Martin Kuppinger, Founder and Principal Analyst at KuppingerCole, commented on BeyondTrust's positioning in the report. The report also acknowledges a shift in the sector as enterprises adopt AI-driven automation and manage more distributed workloads. This has led to a rise in so-called Agentic AI entities—software agents that operate with increasing autonomy, including initiating decisions, running processes, and interacting with data independently. According to the report, BeyondTrust is responding to these trends by developing capabilities that enforce identity lifecycle controls, ensure the principle of least privilege, and monitor for atypical behaviours across all identity types, whether human or non-human. "Secrets management has to evolve with the reality of the modern threat landscape. That means securing not just traditional users and service accounts, but also non-human and autonomous AI identities. Our solutions are built to give security teams centralised visibility and control across every identity and environment, while empowering developers and operations teams to build and scale securely," Sam Elliott, Senior Vice President of Product Management at BeyondTrust, said, outlining the company's approach to current industry challenges. BeyondTrust's secrets management offerings are part of the BeyondTrust Pathfinder Platform. The platform's scope includes Privileged Access Management, Identity Threat Detection and Response, Cloud Identity Management, Cloud Infrastructure Entitlement Management, and a recently released Identity Security Risk Assessment. This free assessment is designed to help organisations uncover hidden Risks to Privilege within their identity infrastructure, making vulnerabilities visible and offering practical recommendations for remediation. The KuppingerCole Leadership Compass for Enterprise Secrets Management evaluates vendors' approaches to managing and protecting secrets, considering factors such as scalability, integrations, developer experience, and strategic vision in the context of current and emerging identity security challenges.
Time Business News
22-05-2025
- Business
- Time Business News
Transforming Cloud Operations: The Power of AI-Driven Infrastructure as Code
In the rapidly evolving realm of digital transformation, businesses are racing to adopt smarter solutions for infrastructure provisioning and management. Infrastructure as Code (IaC) has emerged as a foundational DevOps practice that allows IT teams to automate the setup and maintenance of their environments. However, the integration of Artificial Intelligence (AI) with IaC introduces a paradigm shift — enabling predictive, self-healing, and optimized infrastructure management. This in-depth article explores how AI Software Development Services are reshaping Infrastructure as Code, with advanced capabilities, real-world applications, and insightful statistics that underscore this transformative journey. IaC is a key component of modern DevOps pipelines, enabling IT infrastructure (servers, databases, networks, etc.) to be provisioned, configured, and managed using declarative code. IaC allows for: Version control of infrastructure Reusability and automation of configurations Rapid environment replication Reduced manual errors and downtime Common IaC tools include Terraform, Pulumi, AWS CloudFormation, and Ansible. However, as digital infrastructure becomes more complex, businesses are turning to AI to elevate IaC to new levels of intelligence and efficiency. AI empowers IaC tools and processes to become more dynamic, adaptive, and predictive. Instead of static configuration templates and reactive monitoring, AI brings: AI models can analyze usage patterns, forecast load spikes, and allocate resources accordingly. This not only prevents outages but ensures optimal cost-performance balance. According to McKinsey (2024), companies leveraging AI for predictive infrastructure scaling reported a 35% improvement in uptime and 28% reduction in cloud spend. AI continuously monitors system logs, metrics, and events to detect misconfigurations or security threats in real time. Once anomalies are detected, auto-remediation scripts or rollbacks are triggered without human intervention. A recent survey by O'Reilly Media indicated that enterprises using AI in IaC pipelines experienced a 47% drop in major outages. AI-driven policy engines can audit and enforce compliance dynamically. Machine learning algorithms detect non-compliant patterns and suggest or implement corrections instantly. Natural Language Processing (NLP) models assist in generating readable documentation and smart Terraform/CloudFormation scripts by interpreting user intent from natural language inputs. AI accelerates root cause detection by correlating logs, traces, and metrics across systems, reducing mean time to repair (MTTR) significantly. AI helps minimize cloud wastage by predicting ideal resource allocation, avoiding overprovisioning. DevOps teams spend less time on troubleshooting and manual configurations, focusing instead on innovation. With AI-powered anomaly detection and policy enforcement, businesses can ensure infrastructure security at all layers. Self-healing and intelligent recovery drastically lower downtime incidents and improve SLAs. AI-accelerated CI/CD pipelines push infrastructure changes faster, enabling quicker feature deployment. AI-driven IaC ensures secure, high-performance, and compliant cloud deployments crucial for financial transactions. Online retail platforms use AI to auto-scale during high-traffic sales events, ensuring no disruption. Hospitals implement AI for high availability of critical applications and data compliance. AI algorithms optimize infrastructure for IoT devices in smart grids and remote installations. IDC forecasts that by 2026, over 60% of digitally mature enterprises will rely on AI-powered IaC for daily infrastructure operations. Despite its potential, AI-integrated IaC presents hurdles: AI requires vast, clean datasets from logs, telemetry, and metrics. Combining AI engines with IaC tools demands architectural planning. Talent with expertise in both AI and infrastructure automation is rare. Over-reliance on automation without checks can lead to unexpected consequences. AI Software Development Services offer businesses the technical expertise and strategic insights needed to integrate AI into IaC workflows: Custom AI model development for predictive infrastructure monitoring Integration of ML models with existing IaC platforms (Terraform, Ansible, Pulumi) Design of self-healing infrastructure with MLOps practices Ongoing model training, versioning, and performance tuning These services allow businesses to scale securely, stay agile, and innovate continuously without worrying about infrastructure pitfalls. As generative AI, LLMs, and edge computing technologies mature, they will further augment IaC capabilities: AI will build optimized configuration files based on past deployments. Engineers will deploy infrastructure using natural language prompts interpreted by LLMs. End-to-end pipelines with zero manual intervention, self-managed through reinforcement learning. Gartner predicts that by 2027, AI will manage 75% of enterprise infrastructure autonomously. AI-Driven IaC leverages machine learning and data analysis to introduce predictive scaling, auto-remediation, and intelligent decision-making, whereas traditional IaC only automates infrastructure with static rules and templates. Yes. AI can be layered on top of most popular IaC tools like Terraform, AWS CloudFormation, and Ansible using APIs, plugins, and data pipelines that feed performance metrics into AI engines. AI predicts resource demands and auto-scales only what's needed, avoiding costly overprovisioning. It also identifies underutilized services and recommends optimization. These services help businesses build and train AI models, integrate them into existing infrastructure systems, ensure data pipelines are optimized, and maintain the AI lifecycle through MLOps practices. AI enhances security by continuously scanning logs and configurations for anomalies, applying patches automatically, and enforcing compliance rules dynamically, reducing vulnerabilities. Yes. Cloud-native SMBs with limited IT resources can especially benefit by outsourcing complex infrastructure decisions to intelligent systems, reducing manpower needs and speeding up operations. Implementation time varies by complexity but typically ranges from 6–12 weeks, including data preparation, model training, integration with IaC tools, and testing. AI is not just enhancing Infrastructure as Code — it is revolutionizing it. With predictive analytics, self-healing mechanisms, and intelligent resource orchestration, AI-Driven IaC ensures faster, safer, and more efficient cloud operations. Organizations that partner with experienced AI Software Development Services providers are better equipped to unlock these benefits while staying competitive in a cloud-first world. AI and infrastructure have officially converged. Those who adopt this technology early will shape the future of digital enterprises, driving smarter, more efficient cloud solutions for years to come. TIME BUSINESS NEWS
Yahoo
16-05-2025
- Business
- Yahoo
Financial scandal involving a couple shocks South Korea
A shocking financial scandal involving a couple has come to light in South Korea in which a woman stole crypto assets and cash from her boyfriend, a local news publication reported on May 16. On Jan. 5, the woman stole 683 million won (more than $487,460 at the time of writing) in crypto assets, 2 million won (more than $487,460 at the time of writing) in cash, and a cell phone from her boyfriend while he was sleeping. The woman, in her 40s, admitted to all the above-mentioned accusations. The district court in the Jeju province of South Korea convicted her of embezzlement and fraud and sentenced her to two years in prison. The woman's legal team requested the court to be lenient in its ruling, arguing that the aggrieved party has lost only 21.9 million won (approximately $15,630 at the time of writing) as most of the crypto assets have been returned. However, the court didn't entertain this request, highlighting that the total amount of loss is large, the defendant already has two previous fraud convictions, and was on trial for another fraud at the time of the crime. As per the on-chain analytics platform Chainalysis, South Korea was the 19th largest country in terms of crypto adoption. The country led the Eastern Asia region as it received crypto assets worth approximately $130 billion during July 2023-June 2024. Over the years, the country has witnessed several crypto scams. Notably, Terraform CEO Do Kwon, who is facing legal action for allegedly committing crypto fraud, also hails from South Korea. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Geek Wire
14-05-2025
- Business
- Geek Wire
Amazon vets land $4M for Seattle data security startup Tensor9
GeekWire's startup coverage documents the Pacific Northwest entrepreneurial scene. Sign up for our weekly startup newsletter , and check out the GeekWire funding tracker and venture capital directory . From left: Tensor9 co-founders Michael Ten-Pow, Matt Michie, and Matt Shanker. (Tensor9 Photo) Tensor9, a Seattle-based security and privacy startup, announced a $4 million seed round. Founded in 2023 by veterans of Amazon, Meta, and Epic Games, the company helps software vendors deploy applications directly within customer cloud environments. The idea is to 'unlock' customers that deal with sensitive data and strict security policies. 'Public cloud enables simplicity, scalability, and efficiency, but also introduces security issues and data movement costs,' Tensor9 CEO Michael Ten-Pow wrote in a blog post. 'There is a clear trend towards a more hybrid model, where software runs where it needs to in the right environment. And that's the underlying premise of Tensor9: we help vendors ship software instead of requiring their customers to ship data.' Here's more about how the company's software works: How does Tensor9 make this happen? In a nutshell, a vendor points Tensor9 at their infrastructure as code (like Terraform or CloudFormation) and their app is deployed into different customer environments, with each customer getting their own private stack. Tensor9 continuously syncs updates to customer environments, ensuring consistency. A digital twin architecture mirrors the deployment and operational state of a customer's stack, which allows vendors to sync changes to ensure consistency across customers and environments, as well as sync logs, metrics, and hardware failures back to the digital twin – enabling vendors to observe, debug, and support customers as if they were using SaaS. Ten-Pow previously spent 13 years at Amazon, where he was an engineering working on AWS systems. Founding engineers Matt Michie and Matt Shanker also spent time at AWS. Investors in the seed round include Wing VC, Devang Sachdev and NVAngels, Level Up Ventures, and other individual backers.
