Cluster-level Logging of Containers with Containers
Logging Challenges of Container-Based Cloud Deployments
Collecting and analyzing log information is an essential aspect of running production systems to ensure their reliability and to provide important auditing information. Many tools have been developed to help with the aggregation and collection of logs for specific software components (e.g., an Apache web server) running on specific servers (e.g., Fluentd and Logstash.) They are accompanied by tools such as Elasticsearch for ingesting log information into persistent storage and tools such as Kibana for querying log information.
This article shows how cluster-level logging infrastructure can be implemented using open source tools and deployed using the very same abstractions that are used to compose and manage the software systems being logged.
Kode Vicious: Chilling the Messenger
Keeping ego out of software-design review
Trying to correct someone who has just done a lot of work, even if, ultimately, that work is not the right work, is a daunting task. The person in question no doubt believes that he has worked very hard to produce something of value to the rest of the team, and walking in and spitting on it, literally or metaphorically, probably crosses your "offense" line—at least I think it does. I'm a bit surprised that since this is the first sprint and there is already so much code written, shouldn't the software have shown up after the sprints established what was needed, who the stakeholders were, etc.? Or was this a piece of previously existing code that was being brought in to solve a new problem? It probably doesn't matter, because the crux of your letter is the fact that you and your team do not sufficiently understand the software in question to be comfortable with fielding it.
The Hidden Dividends of Microservices
Microservices aren't for every company, and the journey isn't easy.
Microservices are an approach to building distributed systems in which services are exposed only through hardened APIs; the services themselves have a high degree of internal cohesion around a specific and well-bounded context or area of responsibility, and the coupling between them is loose. Such services are typically simple, yet they can be composed into very rich and elaborate applications. The effort required to adopt a microservices-based approach is considerable, particularly in cases that involve migration from more monolithic architectures. The explicit benefits of microservices are well known and numerous, however, and can include increased agility, resilience, scalability, and developer productivity. This article identifies some of the hidden dividends of microservices that implementers should make a conscious effort to reap.