Operations | Monitoring | ITSM | DevOps | Cloud

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.

Gartner Market Guide for Internal Developer Portals offers “Platform engineering teams are tasked with improving developer experience, ensuring consistent governance, and enabling discovery and access to software development and delivery capabilities. Platform engineering leaders can use internal developer portals to address these challenges.” Organizations with a current Gartner license can check out the report here.

Microservices migrations represent significant investments for organizations seeking greater agility, scalability, and development velocity. Yet without clear metrics to guide the journey and measure outcomes, these initiatives risk delivering technical change without meaningful business impact. Establishing appropriate success measures ensures that migration efforts stay aligned with organizational goals while providing visibility into progress and value delivery.

Modern applications are often built using microservices: Small, independent components that work together. This makes systems more flexible and scalable, but also harder to monitor. In this guide, we’ll explain what microservice monitoring is, why it’s different from traditional approaches, and how to do it effectively. Whether you’re starting from scratch or improving an existing setup, this article will help you monitor microservices with confidence.

Don’t default to microservices: You’ll thank us later! Donald Knuth, professor emeritus at Stanford University and “father” of algorithm analysis, once said – now quite famously – that “Premature optimization is the root of all evil.” It’s one of those sayings that all engineers know, most understand, and many struggle to follow through on consistently. What Knuth misses in this pithy, memorable quote is the fact that evil is tempting.

Change is constant in engineering organizations. Whether you’re growing quickly and onboarding dozens of engineers—or navigating the difficult process of layoffs—your systems, services, and institutional knowledge don’t pause. That’s where an Internal Developer Portal (IDP) becomes indispensable.

Every engineering leader knows the stress of an upcoming seasonal spike. Whether it’s tax season, open enrollment, or Black Friday, there’s always that moment where someone says, “Are we actually ready?” It’s usually followed by a scramble: auditing services, chasing down owners, updating spreadsheets, running perf tests, checking alerting thresholds, verifying infra configs—much of it manual, fragmented, and slightly different every time. It’s exhausting.

Being in the cloud is table stakes in 2025, and simply lifting and shifting workloads to the cloud barely scratches the surface of what's possible. Yet many engineering teams find themselves managing glorified data centers in the cloud—missing out on key capabilities like auto-scaling, serverless computing, and cloud-native security features. Cloud modernization is the true game-changer for turning legacy systems into agile, scalable architectures.