Maestro Blog

Selecting a Cloud Management Platform is a critical decision with far-reaching effects on your enterprise financial health, operational agility, security resilience, and ability to innovate. This isn't just a technology purchase, it is a fundamental business decision. To assist with this choice, we address the five key questions you should ask to validate the platform's strategic value to your organization. 1. How does Maestro fit my Enterprise Size and Load? 2. Are there any PoCs or Demos for Maestro to see how it actually works for my enterprise? 3. How does the Maestro accelerate our 'Concept-to-Cash' cycle and improve business velocity? 4. Does Maestro makes us "cloud-agnostic" without becoming "cloud-complicated"? 5. How much training do we need to start using Maestro? 1. How does Maestro fit my Enterprise Size and Load? Maestro main target customers are large organizations (government, bu...

Selecting a new solution for an enterprise is a complicated decision that grounds on numerous parameters. This especially applies to selecting a cloud management platform, as it significantly affects the major part of the corporate lifestyle, including financial, operational, security, and technological aspects. Today, we introduce a new post in our "Top 5 Questions" series and will give answers to the top questions a CFO may ask before Maestro is introduced to their infrastructure. 1. How does Maestro move us from 'Cost Tracking' to 'Unit Economics'? 2. What are the 'Time-to-Value', ROI, and the Guaranteed Savings? 3. How will Maestro help us govern the 'Shadow AI' spend and GPU volatility? 4. Can Maestro act as a 'Single Source of Truth' for our ERP and ESG reporting? 5. How Maestro can be used to optimize operational expenses? 1. How does Maestro move us from 'Cost Tracking' to '...

Rapid evolution in IT engineering is changing how modern platforms are built and operated. Today, engineering teams must balance scalability, security, cost efficiency, compliance, and performance—while integrating AI into both user-facing services and internal workflows. This growing complexity is redefining platform and infrastructure engineering, and bringing to life a new concept – Neocloud, focused on provisioning capacities for AI, machine learning and data analytics workload. In response to these challenges, Maestro takes a major step forward in 2026, evolving into a powerful framework for building complex engineering solutions with modern tooling, AI capabilities, and proven best practices. Maestro 2026: Build Your AI Platform In 2026, Maestro evolves into an Infrastructure Orchestrator and Platform Engineering Hub , enabling Autonomous Orchestration across the entire engineering lifecycle. With AI becoming a core part of modern service provisioning, one ...

There is a typical challenge, frequently faced by organizations of different sizes, domains and technologies. Financial, development, security, and management teams work each in their own bubble. Each team uses different tools, tracks different metrics, and speaks a different language even if it comes to the same subject. This disconnection frequently leads to miscommunication, friction, unexpected budget overruns, and security gaps. The result is inefficiency and risk that could otherwise be avoided. Effective cloud management and FinOps is not only about the tools. It's a cultural shift toward shared accountability for cloud spending. It requires creating an environment where technical, management, and financial teams can work together seamlessly. Maestro is the platform enabling this by design. It provides a unified view for infrastructure, costs, security, breaking down departmental barriers and enabling effective, data-driven cooperation across your entire organizati...

Maestro is a complex product, having a modular structure. This means it consists of different elements, or modules, that can be set up and used altogether or one by one, if necessary. The majority of the tools are CLIs that need to have setup or quick start guides, reference guides, usage instructions and scenarios, etc. Each element needs to be documented separately, and the documentation needs to be maintained timely. This gives quite a big piece of work for either the development or documentation teams, or even both. However, Maestro team invented their own tooling for automating CLI documentation management, and this both significantly decreases the related daily effort, and facilitates keeping all deliverables to the same style and format, irrespective of the person who creates them. The custom documentation tool operates via a focused, repeatable pipeline: md → .docx → .pdf This process separates and integrates two content types: The static co...

In our previous posts we have already discussed the details on the financial management tools, by their function on different stages of infrastructure lifecycle (find them here ). We also frequently speak about security , and optimization . Maestro Dashboard is the key entry point for both finding out the data about your infrastructure, and cooperation between teams.It represents the key indicators and findings, each grouped in separate views for your convenience. Here, you can see the general infrastructure statistics, top spendings per cloud, service, or resource type (FinOps); the suggested infrastructure optimization possibilities (Optimization), and the security and compliance statuses (Security). Maestro Dashboard is not only about row data: you can interact with the numbers, call reports, thus receiving more details and diving deeper into investigations of specific cases. You can also adjust the content and look for the Dashboard to better meet your goals,...

Have you ever built a "perfect" dashboard only to realize that no one uses it? Have you spent weeks crafting a detailed report that was supposed to provide your customers with more context, but instead provided your support team with more customers? Most of developers did it, for sure. The question is – how we improve the situation when users tend to skip or misunderstand charts and reports we share with them. Maestro team, together with EPAM Syndicate Rule Engine (SRE) team, developed an interesting solution, based on a simple core idea. The numerous reports, charts, and dashboards should be addressed to the needs of specific user groups. This is how the idea of four-layer reporting was born: Operational level reports – those representing the on the go changes and actions, and making it easy to track specific events and alerts. Project reports – those covering the project-level statistics and allowing to find general project changes, trends, and responsib...

When working with security alerts, teams often focus only on alert severity, but there's another dimension that often gets overlooked: "Remediation Complexity" (RC). Severity tells you what's critical. RC tells you what's actionable. Understanding both is the difference between firefighting alerts and building a truly efficient security posture. Today, we would like to introduce you to a deep dive into understanding remediation complexity, as given by one of Maestro key security expert – Anna Shcherbak. The insights go as two-part series on Anna's Medium blog: Introducing Remediation Complexity . Why this concept is essential for cutting through alert fatigue. The Framework Behind Remediation Complexity A practical "how-to" guide, with the evidence behind our 5-level RC scale and principles for assigning complexity. This framework isn't just theory. This has been built it into the Syndicate Rule Engine that...

As cloud infrastructures grow, they become highly "entangled," making it difficult to detect non-trivial security issues using conventional methods. While standard Cloud Custodian filters excel at evaluating individual resource attributes, they struggle to identify risks defined by these relationships. As a result, the most significant cloud vulnerabilities often emerge not from a single misconfigured entity but from the complex interplay between multiple resources For ensuring security & compliance, Maestro widely engages EPAM Syndicate Rule Engine (SRE), based on the Clou Custodian tool. Dmytro Afanasiev, one of SRE key developers, introduces a concept of generic resource filtering as a first step in complex issues resolution. The key idea is that you can filter resources of one type based on directly related resources of some other type. The relation between them can be inferred by foreign key attributes, so it's quite trivial to implement. In his blog...

Managing security, cost, and compliance in increasingly complex cloud environments is a universal challenge. As organizations scale their cloud infrastructure, the risk of misconfiguration grows, creating vulnerabilities that can lead to cascading failure model where a single misconfiguration can trigger devastating operational, financial, and reputational consequences. Manual governance is no longer a viable strategy for navigating this landscape. Here is where introducing Policy as Code (PaC) is one of the best approaches. It allows organizations to define and manage their governance policies in a codified, human-readable, and automated way. Instead of relying on manual checklists and reviews, PaC translates governance rules into code that can be versioned, tested, and systematically applied across the entire cloud environment . Implementing Policy as Code delivers clear and measurable benefits that strengthen governance across all cloud platforms. These benefits a...

Managing cloud costs effectively becomes increasingly important, as cloud services usage grows, with public cloud spending expected to reach $805 billion by 2025. Cloud cost optimization involves controlling spending to maximize efficiency and value from investments. The Flexera 2024 State of the Cloud Report shows that 75% of organizations report increased cloud waste, with about 32% of budgets underutilized. This highlights challenges in visibility and resource management. Adopting best practices in cloud cost management is vital for companies to efficiently streamline and control their cloud expenses. In this blog post, we would like to summarize the recent Top Cloud Cost Optimization Best Practices article, and highlight how Maestro, and the tools it is integrated with, help with the challenge. What is Cloud Cost Optimization? Cloud cost optimization is the practice of reducing overall cloud spending by identifying mismanaged resources, eliminating waste, and effici...

The Year 2024 is coming to an end, and it's high time to sum up our achievements and future plan in the traditional summary and resolution post. While the Green Dragon is still here, we would like to start with summing up the past 52 weeks, taking the recap of the updates, news, and success cases we had - all that becomes a solid ground for our further movement. 2024: Main Steps and Updates Traditionally, Maestro development was focused on several main directions, as well as included a set of general updates and stabilization changes. General updates and stabilization The updates covering general Maestro performance and core functionality has been taking place throughout the year, with the massive stabilization closer to the end of the year. These included not only performance improvements and bug fixing, but also important new features, such as the possibility to have the ReadOnly access to Maestro, a huge update to C-level, tenant-l...

Maestro billing engine allows transforming virtual and hardware capacities utilization into bills , based on the events within their timeline, and states they get as a result of such events However, the modern world, with its dynamic changes in situations and requests, needs flexibility – and in billing, as well. The hourly cost of your datacenter maintenance may depend on external factors, like varying electricity costs (for example, cheaper night hours), which can let you make nightly hours of your infrastructure usage be also more affordable. You may also want to re-distribute the load between data centers or data center sections during peak hours by offering lower prices in underutilized zones, and higher prices – in those that are overloaded. Season discounts, special offerings, and other pricing alterations are also on the list. You even may want to apply extra charges for your users access to public clouds, by adding a respective coefficient to the native provi...

Typically, for on-premises infrastructures, the enterprises use capacity quotas to regulate the amount of resources each team can use (in CPUs, Memory GBs, storage GBs, etc.). This approach is effective and convenient when all your resources are exclusively in your own data centers. However, the things get more complicated when a public cloud is added. In such case, using both the resource-based approach in your private DC, and public clouds' pay-as-you-go, you need to make an extra effort to properly arrange your financial procedures and planning, as, in fact, you need to deal with two completely different calculation approaches. A pay-as-you-go approach for private data centers is a right decision if you aim to unify and simplify financial governance, planning, resource allocation and utilization accountability. An effective, powerful, and flexible billing engine is a keystone for such solution. Maestro has one, and further in this post, we will uncover the appr...

Effective cloud usage for an enterprise requires various tools, including resource management, corporate integrations, and establishing effective communication with end users. By default, cloud providers offer crucial alerts out-of-the-box, with additional alerts being customizable and provisioned as a service. This setup works well once you use only one provider and a small infrastructure. However, in multi-cloud and hybrid cloud environments, tracking complex infrastructures efficiently becomes more challenging. Enterprises have different methods to address these challenges, ranging from manual sorting to integrating third-party tools. However, not all these methods are flexible enough to respond promptly to technological updates and market demands. This is where the need for a better solution emerges, leading to our case study on migrating to Maestro. Problem Statement An enterprise using a hybrid cloud with AWS, Azure, GCP, and OpenStack-based infrastructure uti...

In our previous post , we discovered Maestro as a part of the Open Infrastructure world, as well as its Open Source components and strategy. However, a modern platform is more than just about infrastructure. To increase efficiency, unification, visibility and control, it is important not only to establish effective infrastructure management, but also to set up control on the application layer. With the infrastructure layer being often hosted in multi- and hybrid- clouds, Microservices became one of the silver bullets for cloud-based and cloud-native applications within the past years. They allow to package your applications properly so that they can be hosted on any platform. The parts that cannot be put to this type of architecture, are often re-platformed, or re-architected within the new provider. Thus, a modern platform should be capable of both managing Cloud environments and empowering microservice-based applications development, delivery and management . Kee...