Computers generally track the current time using a quartz crystal that oscillates at a known frequency. This frequency is used to advance the local clock at pre-defined intervals. Quartz oscillates with enough stability that it can be used to maintain time within a few milliseconds of accuracy per day. Over time however, these imperfections can accumulate, making the clock inaccurate. To fix these inaccuracies, computers typically run a background process like NTP to synchronize the local clock with servers that are known to be accurate....

The Network Time Protocol (NTP) is a system for synchronizing the clocks of hosts and clients across the Internet. NTP is a protocol intended to synchronize all computers participating in the network to within a few milliseconds of Coordinated Universal Time (UTC). The core of the protocol is NTP’s clock discipline algorithm that adjusts the local computer’s clock time and tick frequency in response to an external source — such as another trusted NTP server, a radio or satellite receiver, or a telephone modem....

Still in search of a Kubernetes development environment I can run on my development machine that somewhat replicates, I was recently introduced to both the multipass and microk8s projects from Canonical. multipass is a prerequisite for microk8s, so let’s start there. With multipass, you can easily launch and run Ubuntu virtual machines with a single command. ❯ multipass launch --name foo Launched: foo With a virtual machine in hand, you can run execute arbitrary commands on the machine using the exec subcommand....

The ancient Greek poet Archilochus wrote that “the fox knows many things, but the hedgehog knows one big thing.” In social psychology, these terms have been used as a shorthand for describing two cognitive styles: foxes, who are comfortable with nuance, can live with contradictions, and have different strategies for solving different problems, and hedgehogs, who focus on the big picture, reduce every problem to one organizing principle, and solve problems through that singular lens....

All healthy technology discussions should begin with business goals and use those goals as a reasonable set of guidelines to focus technology investment decisions. These business goals are best articulated from a deep understanding of what the company, the product team, or the marketing team want to accomplish. In a business-first model, technology is forced to balance the desires for technical effectiveness and efficiency with the operational needs of the business....

In creating a development workflow for releasing HTTP+JSON APIs, many teams settle on the API description and documentation standard OpenAPI. A natural conversation that takes place after settling on OpenAPI is whether or not you should develop your API using a “design-first” method or a “code-first” method. I believe that narrowing the discussion to these two extremes overly simplifies the discussion. Instead, I prefer to talk about API development as a continuum of development process that revolve around the prominence of the API description document in the process....

One of the recurring themes of any technology discussion is programming language. It doesn’t take much effort to find blog posts with dramatic headlines (and even more dramatic comments) about how shipping a new project with Haskell or Clojure or Elm improved someones job, marriage, and life. These success stories are posted by raving fans that have nothing but the best to say about their language of choice. A common thread running through these posts is that they are typically tied to building out new, greenfield projects....

Spring Data REST combines the features of Spring Data with Spring HATEOAS to make it easy to build hypermedia-driven REST APIs on top of Spring Data repositories. The basic functionality provided out of the box creates and exposes simple REST endpoints for performing CRUD operations on Spring Data repositories. For a lot of use cases, this is entirely enough functionality to meet your needs. In other cases, you need to extend the REST API to include additional functionality that isn’t provided by Spring Data REST and it can be difficult to determine exactly how to do this....

Microservices have become part of the software engineering cultural zeitgeist to the extent that alternative approaches to architecture and development are treated as somehow inferior. Given the challenges that running microservices present, I usually recommend beginning development of new projects and systems as a single deployable unit — the monolith. Sam Newman, in the book “Building Microservices”, agrees with this approach. He recommends leveraging microservices only if you can become convinced of the benefits for your system, not as a default for every project....

When building and running a system deployed as a monolith, we are able to make a certain set of assumptions about the behaviour of the overall application. One of the biggest assumptions we make is that the memory space for the application all resides on the same machine. With this model, function and library calls can assume that their view of the data structures for the application are accurate, and that you can retrieve or mutate that data immediately and deterministically (leaving the thornier issues of multi-threaded applications aside for a minute)....