With Umbrella's partnership, monday.com's vision for FinOps innovation has become a reality.

Cloud financial management for MSPs and enterprises operating at scale Amdocs is a global software and services company that powers the world's largest telecommunications and media providers. With operations in over 90 countries and billions of end users supported by its technology, Amdocs helps clients deliver seamless digital experiences through cloud, mobile, and AI. To support that scale, Amdocs relies on a Cloud Center of Excellence (CCOE) that manages internal cloud usage while also enabling its business units to serve external clients. Although Amdocs is a global enterprise, its cloud operations closely mirror those of a modern Managed Service Provider (MSP), overseeing usage, optimization, and billing across both internal departments and customer accounts. As the company has expanded over time, often through the acquisition of other technology and service providers, each new business unit has brought its own set of tools, standards, and legacy systems, which operate in different cloud environments, adding complexity to cost management and visibility. Amdocs needed a cloud financial management (CFM) solution that could consolidate all financial data and operate across all cloud providers and business units. The Challenge: Legacy Systems and Multi-Cloud Sprawl   Managing cloud costs at scale is no small task. The challenge becomes even more complex when different business units use their own tools, billing processes, and operational standards. Add in the three major cloud platforms and a mix of legacy infrastructure, and the need for a unified approach becomes clear. The Amdocs CCOE needed to: Bring together cost and usage data from across its entire cloud footprint Enable each business unit to take ownership of its cloud consumption and optimization Deliver consistent, accurate billing for both internal teams and external clients Amdocs required a flexible, API-ready solution that would enable them to build around their existing systems while providing each team with the necessary insights. The Solution   Once Amdocs adopted Umbrella, its cloud operations became easier to manage from both an internal and external perspective. The platform delivered the tools and integrations the CCOE needed to bring structure to a complex, multi-cloud environment.   Unified Multi-Cloud Visibility Amdocs has an extensive AWS infrastructure, particularly in its telecommunications business, which is supported by the AWS Telecom IBU, a dedicated, fast-growing business unit that supports the telecommunications industry. Amdocs utilizes more than 80 Amazon services, including EC2, ECR, EKS, and RDS. However, the scope of Amdoc’s business dictates that they work with all three hyperscalers. Amdocs uses Umbrella to collect and analyze cloud usage data across AWS, Azure, and Google Cloud. With centralized dashboards, the CCOE can view cloud costs at a high level or drill into granular details by provider, service, or business unit.   Embedded Recommendations and Custom Dashboards Business units receive cost data and automated recommendations through dashboards powered by Umbrella’s APIs. These dashboards are embedded directly into each unit’s existing business intelligence (BI) tools, allowing teams to make informed decisions without learning a new platform.   Internal Chargebacks and External Client Billing Umbrella serves as the single source of truth for cloud cost allocation. Internally, it enables accurate chargebacks to departments based on real usage. Externally, business units utilize Umbrella to generate client invoices, supported by transparent and detailed data.   Results: Scalable Cloud Operations with Real-Time Control   By integrating Umbrella across its entire cloud environment, Amdocs improved visibility into multi-cloud spend, reduced manual processes, and enabled its business units to take greater ownership of their usage and billing. With a shared platform and consistent data, teams can make faster decisions and manage cloud costs more effectively. Key outcomes include: Faster decisions. Business units can act quickly on cloud cost-saving opportunities thanks to real-time recommendations and custom workflows. Lower operational burden. Teams use their own systems to view and respond to Umbrella insights, eliminating the need for additional training or tooling. More accurate billing. Amdocs delivers consistent and reliable invoices to both internal teams and external customers, based on a single, trusted data source. A Strategic Partner for Scalable MSP Operations   Umbrella is more than a CFM platform; it is a foundational partner for Amdocs, enabling an efficient, scalable managed services model within a global enterprise structure. By centralizing cost data, supporting automated chargebacks, and powering client billing, Umbrella helps Amdocs deliver financial transparency and value to every stakeholder. As Amdocs expands by integrating new services, clients, and acquisitions, Umbrella brings clarity to the complexity, allowing the CCOE to oversee operations effectively while equipping each business unit with the tools to operate swiftly and accurately.   About Umbrella   Umbrella’s multi-cloud cost management platform, built as SaaS primarily on AWS, leverages Amazon's EKS Kubernetes compute orchestration platform, Redshift, and DynamoDB for data warehousing and analytics, and Cognito for identity, providing customers with high levels of security, availability, and scalability.  Umbrella’s AI capabilities include market-leading spend forecasting technology that delivers near-perfect 30-day forecasts at any level of granularity, along with daily and total budget period forecasts. Additionally, Umbrella’s advanced generative AI chatbot, CostGPT - developed using Amazon Bedrock and Anthropic Claude - assists FinOps practitioners in addressing common and advanced FinOps challenges. Umbrella, the business unit born from Anodot’s cloud cost solution, is a Differentiated-level AWS Software partner, recognized through the Machine Learning Co.

Automat-it, a trusted AWS Premier consulting partner specializing in DevOps and FinOps, provides a comprehensive solution to maximize cloud investment ROI for its startup customers. It creates cloud solutions focused on practical applications, delivering efficiencies that save customers time to market while optimizing performance and costs. Short on time? Download our one-pager for a quick overview of how Automat-it leverages Umbrella's CostGPT. Background Automat-it is utilizing Umbrella’s innovative CostGPT platform to provide outstanding value for its clients. As the company grew, it identified the need for a more effective and scalable solution to enhance FinOps for its clients. To address this, Automat-it collaborated with Umbrella to incorporate its AI-powered CostGPT platform into their daily workflows. Umbrella’s AI features cutting-edge spend forecasting technology, offering remarkably accurate 30-day forecasts at any level of detail, as well as forecasts for daily and overall budget periods. Furthermore, Umbrella’s sophisticated generative AI chatbot, CostGPT - developed using Amazon Bedrock and Anthropic Claude - supports FinOps professionals in resolving both common and complex FinOps issues. Partnering with Automat-it and leveraging their POC recommendations, Umbrella moved an agent to Amazon Bedrock from OpenAI and achieved a 30% classification performance improvement. The Amazon Bedrock-based classification agent, co-developed with Automat-it, addresses the complexity of cloud cost management by providing straightforward answers to complex queries, such as: Listing services launched within a specific timeframe. Calculating cost savings from optimization efforts across different regions. Determining the percentage coverage of various EBS storage types. Identifying services most impacted by anomalies and accounts with significant cost increases. Amazon Bedrock’s flexibility, scalability, and simplicity enabled Umbrella to test alternatives to GPT-4. Benchmarking and evaluation led to the selection of Claude 2 for usage with one of the agents, which proved to be 30% faster while maintaining similar performance levels to GPT-4. Solution: Umbrella's CostGPT   Automat-it empowers its clients with Umbrella’s innovative CostGPT platform to deliver exceptional value. As the company grew its customer base rapidly, the demand for a more efficient, scalable solution for optimizing FinOps became evident. Automat-it integrated Umbrella’s AI-driven CostGPT platform into its clients’ daily operations, as well as using Umbrella to manage Amazon EC2 savings plans and reserve instances for its clients. Results   With the implementation of Umbrella CostGPT, Automat-it enabled their clients to achieve a 30% increase in operational efficiency thanks to several key capabilities: Efficient Onboarding of FinOps Engineers: Automat-it quickly onboarded engineers to support clients with access to CostGPT. This allowed engineers to understand client-specific FinOps practices swiftly, enabling them to provide impactful guidance and support immediately. Fast Client Insights without UI Hassle: CostGPT enabled Automat-it’s team to bypass complex interfaces, allowing instant access to real-time summaries of each client's cloud costs. This improved their ability to provide quick, accurate support and proactive cost management, directly benefiting their clients. Immediate Cost-Saving Opportunities: CostGPT helped Automat-it identify quick wins for clients by providing AI-driven insights and actionable recommendations. Automat-it could proactively advise clients on optimizing workloads and reducing cloud spending, solidifying their role as a trusted strategic partner. Rapid Pricing Queries for Optimal Decision-Making: Automat-it's ability to quickly assess pricing through CostGPT enabled it to recommend the most cost-effective configurations for clients' workloads. Leading to smarter financial decisions and strengthened client trust with immediate,data-driven consulting. Ira Cohen, Umbrella Co-Founder, expresses his excitement about the solution: "I'm incredibly proud of my team for bringing CostGPT to life. Collaborating with professionals like the Automat-it team and leveraging Amazon bedrock solution has been a fantastic experience. The future of CostGPT is bright, with automation for processes, structures, and recommendations on the horizon."   Ziv Kashtan, CEO of Automat-it, praised the partnership, stating: "Our partnership with Umbrella is a testament to our shared commitment to innovation in FinOps. Together, we're pushing the boundaries and addressing comprehensive FinOps solutions to the market." Conclusion   Through its partnership with Umbrella, Automat-it transformed its service offerings, achieving a 30% efficiency boost for clients. By making CostGPT accessible to startups, they significantly enhanced customer satisfaction by providing real-time insights and cost-saving opportunities into cloud costs. Umbrella’s AI-powered platform makes Automat-it a leading customer-focused FinOps provider by delivering faster insights and more accurate support. Unlock efficient cloud management—view our comprehensive one-pager now and see how Automat-it can transform your FinOps strategy with Umbrella.   About Umbrella Umbrella’s multi-cloud cost management platform, built as SaaS primarily on AWS, leverages Amazon's EKS Kubernetes compute orchestration platform, Redshift, and DynamoDB for data warehousing and analytics, and Cognito for identity, providing customers with high levels of security, availability, and scalability.   Umbrella’s AI capabilities include market-leading spend forecasting technology that delivers near-perfect 30-day forecasts at any level of granularity, along with daily and total budget period forecasts. Additionally, Umbrella’s advanced generative AI chatbot, CostGPT - developed using Amazon Bedrock and Anthropic Claude - assists FinOps practitioners in addressing common and advanced FinOps challenges. Umbrella, the business unit born from Anodot’s cloud cost solution, is a Differentiated-level AWS Software partner, recognized through the Machine Learning Co.    

With Umbrella's partnership, monday.com's vision for FinOps innovation has become a reality.

Our cloud cost management platform isn’t just about dashboards for FinOps or cost savings (though delivering clear visibility and reducing cloud waste are things we do exceptionally well). It’s about giving enterprises and MSPs the peace of mind that their data is protected, governed, and secure. That’s why we’re proud to share that Umbrella has officially achieved SOC 1 Type II and SOC 2 Type II compliance just weeks into our launch. It’s the first of many steps we’re taking to build a cloud cost platform that enterprise teams can trust not just today but long term. Here’s what you need to know about this new compliance and why enterprises and MSPs should be excited about it.    Why We Did This As enterprises and MSPs FinOps departments increasingly rely on third-party platforms to manage their cloud costs and financial operations, trust and transparency are non-negotiable. Our customers operate in regulated environments and manage critical financial and operational data in the cloud. It was important to show they’ve been tested, verified, and consistently effective in practice to support their internal audits, procurement requirements, and compliance processes. That’s why we pursued SOC 1 Type II and SOC 2 Type II compliance just weeks after launching.  Here’s what that means: SOC 1 Type II confirms that Umbrella’s internal controls over financial reporting (ICFR) are effective, giving our customers and auditors confidence that their cloud cost data is accurate, complete, and well-managed. SOC 2 Type II verifies that our platform meets rigorous security, availability, and confidentiality standards over time, which results in customer data being protected and securely handled. These certifications weren’t just about passing a test. We wanted to represent independent verification of our internal controls so our enterprise customers and their compliance teams can have a smoother onboarding during procurement and vendor risk assessments and a stronger foundation for secure, reliable cloud cost management. Who Conducted the Evaluation?  We partnered with Ernst & Young (EY), a global leader in audit and assurance, to closely examine how Umbrella operates. Their team reviewed our internal processes, from how we secure customer data to how our systems support accurate financial reporting. They didn’t just look at the documentation. They observed how our controls work over time. That makes Type II audits different. They assess whether your practices hold up day after day, not just during a one-time review. At the end of the process, EY confirmed that we’ve been building toward a cloud cost platform that meets the highest trust, transparency, and operational excellence standards. “Achieving both SOC 1 and SOC 2 compliance is a significant milestone for Umbrella. It underscores our commitment to providing our clients with the highest standards of security, availability, and financial integrity.” Elisha Ben Zvi, VP R&D and Co-founder of Umbrella   SOC 1 & SOC 2 Compliance Adds to Our Momentum These latest compliance milestones are not standalone achievements. They reflect a pattern of continued growth and credibility. In the past year, Umbrella was named a Visionary in the 2024 Gartner® Magic Quadrant™ for Cloud Financial Management Tools, and a Leader in the MSP Use Case in Gartner’s Critical Capabilities report. These recognitions highlight our focus on building secure, scalable cloud cost solutions for the real-world needs of enterprises and service providers. SOC 1 and SOC 2 Type II compliance further reinforce that commitment, offering our customers added confidence in our technology and operations.   Our Compliance Certification Secures Your Data SOC 1 and SOC 2 Type II compliance mark an important milestone. In the eyes of an independent third party, we’ve built our cloud cost platform to meet rigorous standards for keeping cost data accurate, consistent, and secure. Umbrella is a cloud cost management platform built to offer FinOps departments more than just insights; We're here to deliver action, clarity, and control across every corner of cloud cost management. Whether you're an enterprise navigating complex multi-cloud environments or an MSP managing costs across multiple client accounts, we’re with you. We will continue to put our platform to the test to ensure it remains the most reliable cloud financial management solution available. “In a space where only a few cloud financial management platforms meet these standards, our compliance reinforces our dedication to operating at the highest level of accountability. This recognition continues the path Umbrella started, investing dedicated resources to develop a best-in-class product and system with our customers’ data security as our top priority.” David Drai, CEO and Co-founder of Umbrella   Read the full press release to learn more about Umbrella’s latest compliance achievement.

Discover how Anodot transformed into Umbrella, enhancing cloud cost management with innovative AI technology.

So, you're new to the cloud or just starting off with Azure. You're probably starting your first project and using the Azure Calculator to help estimate your monthly run rate. The problem is that Azure, like all clouds, has hidden costs. So why does the cloud have hidden costs? Well, while we call them hidden costs, it’s really more a matter of unexpected costs or unknown costs. Basically, apart from the main “expected” costs, we also have additional charges that newbies will often be surprised by. These could be charges for extra usage beyond a certain included threshold, costs associated with resources that are mandatorily created as part of a deployment, and additional charges for services such as a disk added to a VM or things like backups and monitoring that were not factored into the original estimate. So I’m going to try to list some of the top hidden (unexpected) costs that you should factor into your run rates. Data Transfer For Outbound traffic or in its official Azure name “Bandwidth”, like most clouds, you pay for both outbound traffic and inter-region traffic. Now this does make sense as if you think about it you're not paying for an ISP, so rather than paying for an ISP or Bandwidth speed you're simply charged for actual usage based on outbound traffic. → Outbound traffic = traffic that leaves the data center for the public internet. → Inter-region traffic = traffic that is leaving the data center to a data center in a second region. Azure allocates each tenant a quota of 100GB a month of outbound internet traffic for no charge. Once you pass that 100GB Mark you are charged $0.087 per GB for the first 10TB and from there the prices continue to drop.   Now here is where things get interesting. While many people are aware of this traffic charge they are not aware of additional traffic charges. These include: Inter Zone traffic. So while a zone is technically in the same region, if you deploy a zone redundant configuration you are charged for traffic that flows between these zones.   Peering traffic, now this is an annoying one. You create two virtual networks (VNets) in the exact same region and in the exact same zone. Now let's say for instance that in each virtual network, you had a VM with a public IP, any communication between these two would be free as it is within the region. However, if you peer the networks together there is a charge for all traffic over the peer. This is charged at $0.01 per GB in both directions. If the peering is between two Virtual Networks in different regions, known as Global VNet Peering, then that charge will increase to between $0.035 to $0.09 depending on the zone. This is hidden in the Azure calculator under Virtual Network   Finally, we have private links. Private links are a way of assigning a private IP and encapsulating a PaaS service within a VNet. Now while the private link has a fixed price of around $7 to $8 per month you are also charged for all traffic over that private link and this is priced at $0.01 per GB  and will drop if you exceed 1PB per month. So this now means that all traffic let's say between a VM and a managed DB will now be charged! So to summarise based on your network architecture including the use of regions, zones, peerings & private links you could find yourself paying a lot of money for data transfer. This can be a large unexpected charge that could cost you thousands more per month than your initial estimate if not factored in correctly.  Azure Backups   Azure Backup for VMs has a fairly simple pricing model. You pay once for the backup service itself and then you pay for the storage consumed by the backup itself. However there is a catch, the price of backing up a VM (not including the storage) is $5 for a VM under 50GB and $10 for up to 500GB. So what happens if the VM is more than 500GB? That's right, you guessed it you pay an additional $10 for each 500GB increment. So if you have a VM with let's say 2.2TB you are going to pay each month $50 to back it up and that's not including consumed storage.  When you realize that that works out at $600 a year it’s an expensive solution.   Azure Storage   So you want to store large amounts of data in Azure (blob) storage. Makes sense that's what it’s there for. So you of course choose the required tier, could be Hot, Cool, Archive… and maybe set up a lifecycle policy to automatically cycle tiers based on usage.  Now you may think that the cost is just for stored data, WRONG! There are many costs associated with Azure storage beyond the actual stored data costs.  You will be charged for all operations performed on the storage account such as read, write, delete etc.  The cost of these operations changes based on the storage tier. So while using the hot tier has the highest data stored costs it also has lower costs for operations, while the cool tier has higher costs for operations.  This is also the reason why you should never store data under the cool tier that is being frequently accessed as your access and operation charges will run higher than if you were on the hot tier.  You should also be careful of the data retrieval charge when accessing data from Cool, cold and archive tiers as this ranges from $0.01 to $0.03 per GB. Oh and you want to enable SFTP in your storage account? Well that's another $220 per month.  Log Analytics   Log Analytics is as its name suggests a place to store and analyze your logs. Now Azure offers you 45 days of built in metrics for all services but if you want a longer retention period then you need to send those metrics to Log analytics. Also when setting up AKS (Kubernetes) there is a check box to enable container logs and this will also be sent to log analytics. Now I’m sure you know where I’m getting with this? Log Analytics costs $2.30 a month per GB. So when container logs, or any other log for that matter, start pouring in you can easily find yourself with thousands of dollars a month in charges for the service.   Wastage   While not really a hidden cost waste is still one of the biggest issues with cloud bills. From oversized VMs, or any other resource that can be downsized to save money to resources that can just be deleted, especially leftover disks after a VM is deleted to underutilized reservations. That's right, you purchased a 1-year reservation to save money on your VM, and then when that VM got deleted you're still paying for the reservation, so now rather than save you money you're actually paying for a reservation that isn’t even in use.  So always take care, to clean up your environment, the use of infrastructure as code tools such as Terraform is also always a good idea, and keep a lookout for those hidden costs. I hope this blog article will help you. Want a proof of concept? Talk to us to learn how much you can save with Umbrella’s tools.

So we all have commitment issues. Let's face it, “commitment” is probably one of the most scary words in the English lexicon. Jokes aside, what does it actually mean when we talk about cloud commitments? What Are Cloud Commitments and How Do They Work?   Well, basically it’s a model where you can commit to the cloud vendor either for a particular resource or an amount of spend. The commitment will usually be for a term of 1 or 3 years and based on both the size of the commitment and term, you will receive a discount. These discounts usually vary from around 30%-70%. Now just to be clear, this is not a negotiated contract discount. While there are such things between large cloud consumers and vendors, what we are discussing here are predefined (by the vendors) commitments that are public knowledge. All discounts are published on the cloud vendors website and available to be purchased on demand via the cloud vendors portal. So as mentioned, there are generally two main types of commitment: Resource-based Spend based Resource based   Resource based, also commonly referred to as a reservation or reserved instance (RI) is a commitment that is based on a certain resource type such as a certain SKU of a VM or managed DB, X amount of managed cores or any other number of resource types that varies based on the Cloud Vendor.  You are basically committing to a certain type of resource in a certain region. The commitment will be for 1 or 3 years, depending on your preferences, with the 3 year commitment offering you a higher discount. In Azure this offering is referred to as an Azure Reservation. In GCP Resource-based committed use discounts. And in AWS as Standard or Convertible reserved instances. Azure allows purchasing of reservations for the following resource types: VM, Blob, Files, Cosmos DB, Data Factory, SQL Database, Synapse Analytics, Databrick, App Service stamp Fee, Database for MySQL, Database for PostgreSQL, Database for Maria DB, Data Explorer, Cache for Redis, Dedicate Host, Disk Storage, Backup Storage, OR Software Plans (SUSE Linux, RedHat, RedHat OpenShift).¹ GCP allows purchasing of reservations for the following resource types: Compute Engine, Software Licenses (SUSE Linux Enterprise Server, SLES for SAP, RHEL for Linux and RHEL for SAP images), OR GPUs and local SSDs with Capacity Reservation. AWS supports the purchasing of reservations for the following resource types: EC2, RDS, ElasticCache, OpenSearch, Redshift, and DynamoDB. Or in the case of convertible reserved instances just for EC2.   Differences between cloud reservations   So now you're asking yourselves are there any differences between the different clouds other than cost? The answer is a firm YES. AWS as you noticed has two models   Standard reserved instances are non-refundable or exchangeable but can be sold via the AWS marketplace to other users. Convertible Reserved Instances are exchangeable and can be exchanged for another convertible reserved instance. Based on this the convertible reserved instance discount is lower and it is also only available for EC2 instances.  AWS also offers a full upfront payment option, partial upfront or no upfront with the discount being slightly larger for upfront payments. Azure offers up to $50,000 a year of refunds, allowing you to refund any remaining commitment up to the $50,000 mark a year. Aure also offers an exchange, allowing you to exchange an existing reservation for a new reservation and this exchange will not count against your refund limit. Just so long as the new reservation costs more, even by a single dollar, than the previous remaining reservation. Azure also offers both upfront or no upfront purchasing options however with no difference in discount. GCP does not allow for any cancellations or refunds. GCP billing is all monthly with no upfront charges.   Things to look out for   Once a commitment covers a service, on-demand pricing no longer takes effect. So, shutting down an instance will not pause charges as you have already prepaid for the resource via the commitment plan. Spend Based   Spend based also commonly referred to as Saving plans (AWS & Azure) is a commitment plan based on actual spend.  You basically commit to a certain level of monthly spend in $ for a term of 1 or 3 years and receive a flat discount on all of your spend. However the spend commit is scoped to certain resource types and is not for your entire cloud spend and unlike reservations there is no commitment to a certain region. There is also no commitment to a certain cloud service/resource type, with the exception of the AWS EC2 instance savings plan that is scoped to just certain EC2 instances and is also limited to a single region. In Azure this offering is referred to as Azure Savings plan for Compute In GCP this offering is referred to as GCP Spend-Based Committed Use Discounts In AWS as EC2 Instance savings plan or AWS Compute Savings Plan. Azure Savings plan covers VM (with exceptions), App Service (with exceptions), Functions, Container Instances, OR Dedicated Host GCP Spend based Commit covers: Cloud Bigtable, Cloud Run, Cloud Spanner, Cloud SQL, Compute Engine, Cloud VMware Engine, Kubernetes Engine, Memorystore for Redis OR Memorystore for Memcached AWS Compute Saving plan covers: Compute (EC2, Lambda, Fargate) Or EC2 instance savings plan that covers only EC2 (with a slightly higher discount than compute savings plan) Differences between cloud Spend Commits   Well unlike reservations here there are much less differences. None of the Cloud Vendors allow refunding of the commitment. With the slight exception of AWS allowing a cancellation within 7 days of purchase as long as the commitment is below $100 an hour ($73,000 a month). Things to look out for Another gotcha is that the spend is calculated on an hourly basis. So you can't just go ahead and look at your entire monthly spend on eligible services as you might have peak and low points based on scaling and other load requirements, so you are going to want to commit to your low points. In other words, you are committing to an hourly level of spend and not a monthly or yearly amount. You will also need to take into account that you need to commit to the spend after discount and not the spend pre-commit, so you need to work out your exact hourly spend, how much discount you will receive, and then commit based on that number. Using Umbrella’s advanced Saving Plan Simulator can help you analyze your exact usage and recommend the best savings plan configuration for your environment, allowing you to apply an aggressive savings plan without over-committing. Conclusion   So we’ve covered the basics of the three major hyperscale cloud providers' commit plans. We’ve seen that there are two main models:  Resource commit - Scoped to a specific resource type in a specific region. Spend commit - Scoped to an array of compute services with no region limits. So while committing to a certain resource type will provide a higher discount, using a spend commit will offer you a bit more flexibility and less management overhead. One last thing, if you have both types of commitments in place then the resource-based commit will apply first then the spend commit on any left over uncovered resources. And this is usually the best practice for maximum savings. Cover what you can with a resource reservation then cover 70-80% of the rest with a savings plan. We always leave 20%-30% without commitment to allow for maximum flexibility. And always, and I mean always check out the latest information published by the Vendor. Prices and terms are being updated constantly so keep an eye out for changes and updates. Want a proof of concept? Talk to us to learn how much you can save with Umbrella’s tools.

With Umbrella's partnership, monday.com's vision for FinOps innovation has become a reality.