OpsLyft

ERP systems like SAP, Oracle NetSuite, and Microsoft Dynamics 365 are the backbone of financial operations for enterprises- tracking revenue, expenses, payroll, and procurement. But when it comes to cloud cost visibility, they often fall short. For companies running on AWS, Azure, or GCP, understanding cloud spend at a granular level remains a challenge: 🔹 Which teams, applications, or projects are driving costs? 🔹 How should shared and untagged resources be allocated? 🔹 Are there cost anomalies or optimization opportunities in real time? While ERP systems provide a consolidated view of IT spend, they don’t break down cloud expenses at a granular level—which is exactly where FinOps comes in. The ability to link cloud costs to business outcomes—allocating them across teams, products, and revenue streams—is what makes cloud financial management effective. At OpsLyft, we’ve been working on bridging this gap by integrating deep cost allocation, real-time anomaly detection, and AI-driven optimization with existing financial workflows. For enterprises relying on ERPs but struggling with cloud cost visibility, adding a FinOps layer can change the game. Curious to hear how others are approaching this! #ERP #finops #finance #profitability #cloud #cloudcostmanagement

January at OpsLyft: A Powerful Start to 2025! We’ve started the year strong, and here’s a quick look at what’s been happening at OpsLyft this January: ⭐ Introducing OpsLyft AI – FinOps AI We launched OpsLyft AI – FinOps AI, our next-gen solution for cloud cost management. With proactive cost insights, workflow automation, and anomaly detection, it’s designed to transform how engineering and finance teams approach cloud spending. The response has been phenomenal, and we can’t wait to see more teams benefit! ⭐ Engaging with Future Partners We connected with potential customers of all sizes, from agile startups to large enterprises, to better understand their FinOps challenges and demonstrate how OpsLyft can drive impactful outcomes. ⭐ Customer Success From streamlining cost allocations to unlocking financial transparency, we’re proud to have helped our customers achieve real results through our platform. ⭐ We’re Growing! From scaling our product to expanding our team, January has been a month of growth. We’re hiring across sales, engineering, and other key roles to drive our mission forward. ⭐ Looking Ahead The year has just begun, and we’re already working on several new product updates and success stories. Stay tuned for what’s next! We’re grateful for your continued support as we build the future of FinOps. Let’s drive efficiency and innovation together. #monthlyupdate #growth #AI #finops #cloud #opslyft

Solving Cloud Cost Allocation with OpsLyft ⭐ The Challenge A leading cybersecurity company with a multi-cloud setup (AWS and Azure) was struggling to manage untagged resources. This led to cloud cost allocation issues, with significant expenses going unaccounted for or misallocated, causing inefficiencies and lack of visibility into their cloud spending. ⭐ Our Solution OpsLyft helped address this challenge by: Automatically identifying untagged resources across both AWS and Azure environments. Implementing custom allocation rules to ensure every resource, tagged or untagged, was properly allocated to business units and teams. Providing real-time visibility into cloud costs, empowering better decision-making. ✅ The Outcome This solution resulted in: Improved cost attribution accuracy, leading to better financial clarity. Reduced manual effort, freeing up time for more strategic initiatives. A more structured, transparent cloud cost management process, tightly aligned with business goals. We’re thrilled to have played a role in enhancing their cloud financial transparency and optimizing their resource allocation. #finops #cloudcostmanagement #realtimevisibility #ai #allocation

During a recent conversation with a startup, we learned that while many early-stage companies might not focus on cost allocation yet—observability remains a top priority. Understanding how resources are being used—whether it’s for scaling or optimization—is critical for these fast-growing businesses. Cloud asset management is a great use case here. By gaining full visibility into their cloud assets, startups can eliminate unused or underutilized resources, optimizing their spend and performance. At OpsLyft, we’re committed to helping businesses, whether large or small, gain the visibility they need to make smarter decisions and scale confidently. It’s always exciting to hear firsthand about the evolving priorities of companies at different stages of growth. What’s your take—how do you think startups should balance observability and cost management? #startups #finops #cloudcostmanagement

The Future of Cloud Cost Management: From SaaS to Agent-Based Models Satya Nadella recently underscored a pivotal shift in tech—the transition from traditional SaaS architectures to agent-based models. At OpsLyft, this isn’t just a concept we’re observing; it’s a transformation we’re preparing for and building towards in cloud cost optimization. So, what’s driving this shift? As businesses scale and cloud adoption accelerates, the way we manage costs must evolve. The future isn’t just about dashboards or manual interventions—it’s about AI-driven agents. These agents will seamlessly orchestrate cloud operations across platforms, offering real-time insights, automating workflows, and driving efficiency at every level. We’re enabling engineering and finance teams with AI-powered FinOps tools that go beyond tracking costs. We’re helping businesses achieve financial clarity, operational excellence, and scalability in an increasingly complex cloud environment. With its thriving developer ecosystem and entrepreneurial energy, India is uniquely positioned to lead this transformation. We see immense potential for Indian companies to embrace AI in reimagining cloud cost management, setting benchmarks for innovation in the global tech landscape. For businesses navigating today’s challenges, this isn’t just a vision of the future—it’s already happening. By integrating AI automation and actionable insights into your cloud cost management strategy, you can unlock significant savings, optimize resource utilization, and build a future-ready cloud infrastructure. Let’s build the future of FinOps together. https://lnkd.in/grHc3e8N #AI #finops #saas #innovation #cloudcostmanagement #digitaltransformation

Here's an uncomfortable truth for cloud-first companies- Your shiny new AI workloads? They’re eating your cloud budgets alive. And it’s not just a snack; it’s a full-course meal. Here’s the math: In the old world of predictable cloud usage, for every $100 you spent, you got $90 worth of business value. You could forecast. You could optimize. You could sleep at night. Welcome to 2025, where AI is the new gold rush—and the mining tools are expensive. Your generative AI models are churning through compute power like there’s no tomorrow, storage bills are climbing with every dataset iteration, and GPUs? They’re hotter (and costlier) than ever. For every $100 spent now, a chunk vanishes into the black box of AI. “We’ll manage it,” you say. “It’s worth the ROI.” Here’s the catch: - That ROI only shows up if you can allocate these costs properly. - AI and Kubernetes are tangled in shared, untagged resources, making true visibility a nightmare. - Unoptimized workloads are quietly draining budgets, and by the time you notice, it’s too late. The result: - Blown budgets. - Shrinking profitability. - Pressure from investors who still expect growth without waste. Here’s the good news: The winners in 2025 won’t just build AI—they’ll master the FinOps to sustain it. - They’ll know exactly which AI workloads are worth the spend and which aren’t. - They’ll allocate every dollar of cloud cost to a team, project, or feature. - They’ll optimize in real time, ensuring business outcomes—not runaway expenses. At OpsLyft, we’ve seen it firsthand: The future of FinOps isn’t about cutting costs—it’s about enabling growth responsibly. So, here’s our question: What’s your AI really costing you, and do you have the visibility to manage it? Let’s make 2025 the year we align innovation with profitability. #aicosts #saas #costcutting #profitability #finops

Launching OpsLyft's Intelligent FinOps Workflow: Streamline Your FinOps Cycle with OpsLyft AI- Inform, Optimize, Automate With OpsLyft AI, managing cloud costs is a smooth, efficient process that starts with intelligent analysis and evolves into full automation. Here's how you can revolutionize your FinOps cycle: 1️⃣ Analyze and Observe Costs with Simple AI Queries Begin by gaining full visibility into your cloud infrastructure. Use simple AI queries to track your cloud usage and costs across all resources. No more manual tracking—get a comprehensive view of where your spend is going in just a few clicks. 2️⃣ Analyze Trends and Detect Anomalies With OpsLyft AI, it’s easy to spot cost patterns and fluctuations. By analyzing trends over time, you can detect anomalies such as unexpected spikes in usage or unexpected cost increases. Proactively manage your spending and avoid surprises with AI-powered insights. 3️⃣ Get Smart Recommendations for Optimization Once trends and anomalies are identified, OpsLyft AI provides smart, actionable recommendations to optimize your cloud costs. Whether it’s resizing resources, consolidating workloads, or shutting down idle infrastructure, you get clear, AI-driven suggestions that help you save without compromising on performance. 4️⃣ Automate Reports and Alerts for Seamless Monitoring Finally, automate the heavy lifting. Set up customized reports and real-time alerts to keep you informed and in control. With OpsLyft AI, you'll receive alerts when your cloud costs are approaching budget thresholds, and reports are generated and sent to the right stakeholders automatically, saving you time and ensuring you stay aligned with business goals. With OpsLyft AI, you’re not just optimizing cloud costs—you're streamlining the entire FinOps cycle. From smart analysis to automated actions, it’s all about efficiency, cost savings, and proactive management. #ai #finops #workflowautomation #cloud #ccm #trends2025

Introducing OpsLyft AI - Redefining FinOps with Intelligence! At OpsLyft, we’ve always been focused on simplifying cloud cost management and driving financial transparency. Now, we’re taking a bold step forward with the launch of OpsLyft AI - FinOps AI, your next-gen FinOps companion. With OpsLyft AI, cloud cost management is not just reactive but proactive. Here’s how we’re transforming the FinOps landscape: ▶️ Unlock Instant Visibility - Identify spending patterns and trends to stay ahead of cost fluctuations. - Detect anomalies early and take immediate action to avoid unexpected expenses. - Receive personalized recommendations for potential savings and cost optimizations. ⏩ Automate FinOps Workflows - Save time and reduce errors by automating key tasks like reporting, alerting, and stakeholder communication. - Streamline your FinOps processes and focus on high-impact initiatives. But how does OpsLyft AI achieve all this? ▶️ Patterns and Trends AI assistants analyze vast amounts of cloud data to detect patterns and trends in usage and costs. They use machine learning models to identify recurring behaviors, such as monthly usage spikes, and provide actionable insights without manual data analysis. This enables teams to forecast costs more accurately and make proactive decisions. ▶️ Anomalies AI agents continuously monitor cloud usage and cost metrics, alerting teams to irregularities. They can detect unusual patterns in real-time, such as a sudden increase in storage costs, and immediately raise an alert. This allows teams to take corrective action and prevent unexpected overspending. ▶️ Savings Insights and Recommendations AI assistants analyze cloud usage and contracts to offer tailored recommendations for cost-saving opportunities. They can suggest actions like rightsizing resources, transitioning to reserved instances, or deactivating unused resources. This helps teams optimize cloud infrastructure and reduce unnecessary costs. ▶️ FinOps Tasks Automation AI agents automate repetitive FinOps tasks like reporting, alerting, and stakeholder communication. Reports are automatically generated and sent to the right people, real-time alerts are triggered for threshold breaches, and customized communications keep stakeholders informed. This reduces manual effort and ensures teams stay focused on strategic initiatives. With OpsLyft AI, we’re empowering teams to make smarter, faster, and more informed decisions. Whether you're managing cloud budgets or optimizing your cloud infrastructure, OpsLyft AI is your trusted partner in driving financial efficiency. 💬 What’s your vision for the future of cloud cost management? Let us know how you see AI playing a role in your FinOps journey! #OpslyftAI #cloudcostmanagement #finOps #AI #automation #innovation

Cloud cost management is no longer just about expenses—it’s about strategy, collaboration, and innovation. From AI-driven decision-making to Green FinOps and multi-cloud optimization, the future of FinOps is here. Which trend are you most excited to see in action? Let’s discuss how organizations can stay ahead in this evolving landscape. #finops #cloudcostoptimization #AI #multicloud #trends

Another year, another opportunity to push boundaries and break barriers. Let’s embrace 2025 with ambition and purpose! #2025 #newyear #cloud #finops