Domain Driven Design (DDD) is usually associated with microservice architectures. As microservice architectures have been perceived as burdensome and overly complex, so too have organizations started to call into question the relevance of DDD initiatives. The argument is usually that unless an organization reaches a mega-scale that requires eventing to keep and micro-services to scale horizontally, such architectures are overkill.

For Software Houses, developers are as important as customers are to a retail organization – if the Developer Experience (DX / DevExp / DevEx) is poor, then work simply will not get done effectively and the best and the brightest are likely to leave for an employer who offers a better experience and hence, more productivity and job satisfaction. Long-term frustrated employees and staff attrition tend to impact product quality and lead to weaker software applications.

Earlier this week we shared some exciting news. Checkly has made its mark in not one, but two Gartner Hype Cycles reports. We're being recognized for something we're super passionate about - Monitoring as Code (MaC). This recognition comes in the Hype Cycle for Monitoring and Observability and the first ever Hype Cycle for Site Reliability Engineering. It's a big deal for us, and here's why it should matter to you, too.

In the previous blog in this series, we delved into the redesigned architecture of Amazon Prime Video and how they integrated different architectural styles for optimal performance and cost efficiency. We also discussed the impact of Amazon’s decision on the concept of a “serverless-first” mindset, highlighting the importance of considering alternative architectural approaches based on specific use cases and requirements.

If you’re new to logging, you might be tempted to collect all the data you possibly can. More information means more insights; at least, those NBC “the more you know” public services announcements told you it would help. Unfortunately, you can create new problems if you do too much logging. To streamline your log collection, you can apply some filtering of messages directly from the log source. However, to parse the data, you may need to use a Grok pattern.

Distributed tracing is a powerful technique that allows you to track the flow and timing of requests as they navigate through a system. By linking operations and requests between multiple services, distributed tracing provides valuable insights into system performance and helps identify bottlenecks. In this blog post, we will delve into the benefits of distributed tracing, explore its relevance for various application architectures, and uncover how it operates behind the scenes.

There are tons of tools to choose from when it comes to visualizing data, but Grafana has become one of the best ways for organizations to visualize information and get notified about events happening within their infrastructure or data. According to Kubernetes: In this article, we will take a look at the best practices for monitoring Kubernetes using Grafana.