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In 2025, many companies are reckoning with the true cost of microservices, especially as cloud bills grow and engineering teams face coordination fatigue. The move back to monoliths is gaining traction, particularly for startups and mid-sized businesses who need: ‍

Today marks an exciting milestone not just for Cortex, but for every organization looking to foster a culture of engineering excellence. Knowing who owns what is one of the hardest and most important challenges for engineering teams. Without clear ownership, incidents take longer to resolve, migrations stall, and enforcing standards becomes nearly impossible.

With over 50 built-in integrations, Cortex customers have an always-up-to-date, single interface for their engineering priorities, tools, and tasks. But large organizations have a lot of tools. And if you're running internally hosted tools, or for policy or security reasons would prefer to keep your access tokens private, that used to limit what was possible in your internal developer. Not anymore.

Today we’re thrilled to announce the launch of Entity Relationships, a powerful new capability that gives you more flexibility and control over the data model in your IDP. By allowing you to create custom relationships between entities in your catalog, you can model your internal developer portal to accurately reflect your own organization’s taxonomy, letting you better answer deep questions about your environments, releases, packages, and beyond.

If developing scalable, agile applications is a priority for your business, microservices may provide a compelling solution. But what are microservices exactly? The proper microservices definition refers to a modern architectural approach where an application is built as a collection of loosely coupled services. Each service is independent, self-contained, and designed around a specific business capability.

Effective microservices logging requires standardized formats, centralized storage, correlation IDs, and strong security measures. This guide walks you through setup strategies, best practices, and tool recommendations that won't break your budget.

Implementing robust data governance in microservices architectures presents unique challenges and opportunities. As organizations decompose monolithic applications into distributed services, traditional centralized data management approaches no longer suffice. Each microservice may manage its own data store, creating potential inconsistencies, compliance risks, and security challenges.

Monolithic and microservices architectures represent two fundamentally different approaches to software design. By understanding the benefits and drawbacks of each architectural style, developers can make informed decisions about which approach best fits their application needs. While monolithic architecture bundles all application functionality into a single deployable unit, microservices architecture breaks the application into smaller, independently deployable services.