Maestro Blog

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...