People around the world have access to digital experiences in almost every part of their lives, all from the touch of a button. So it only makes sense that they also expect the same—if not better—seamless experience when it comes to how they engage with government organizations.

The way we architect and build applications has changed over the last decade or so. Where monoliths (or single, large codebases) used to be the standard, modern applications are now built using a combination of new architecture patterns, operational models, and software delivery services.

In modern cloud architecture applications are broken down into independent building blocks usually as microservices. These microservices allow teams to be more agile and deploy faster. Microservices form distributed systems in which communication between them is critical in order to create the unified system. A good practice for such communication is to implement an event-driven architecture.

This blog is the second in a four-part series on infrastructure automation for government agencies that are modernizing digital systems while grappling with budget and staffing constraints and the challenges of COVID-19.

When we talk about metrics in software delivery, a lot of developers think of execution metrics — things like throughput, delivery and number of deploys. But in reality, those metrics don’t motivate anyone — at least not without connecting them to a bigger picture. I’ve worked in software for 23 years. I’m a three-time founder and four-time CTO, responsible for leading a 200+ member distributed engineering organization.

Wondering what error budgets (EBs) are and how they are useful? We explain what they are, how they are defined, and how they can help your team. An error budget is the amount of acceptable unreliability a service can have before customer happiness is impacted. If a service is well within its budget, the developers can take more risks in their releases. If not, developers need to make safer choices.

In a relatively short amount of time, Kubernetes has evolved from an internal container orchestration tool at Google to the most important cloud-native technology across the world. Its rise in popularity has made Kubernetes the preferred way to build new software experiences and modernize existing applications at scale and across clouds. With Kubernetes, companies can host workloads running on a single cloud, as well as workloads across multiple clouds.

Windows event logs and event triggers are an important part of Windows server monitoring. With the addition Event Viewer feature, Windows made it possible for server administrators to create custom tasks for certain events. This would be the so-called event trigger, and it could be a script or an email notification. This feature is highly important in terms of security and proactively dealing with issues with the server.

According to a McKinsey study, 70 percent of digital transformation projects fail. It’s quite a paradox because the transformation is happening for growth and success. If this stat alone is anything to go by, it indicates that enterprises need to rethink their strategy and management of such transformations. So how are those other 30 percent of enterprises succeeding with their digital overhauls? Well, data and analytics play a vital role in helping track the progress of the process.