Partner – DBSchema – NPI EA – (tag = SQL)
DbSchema is a super-flexible database designer, which can take you from designing the DB with your team all the way to safely deploying the schema.
The way it does all of that is by using a design model, a database-independent image of the schema, which can be shared in a team using GIT and compared or deployed on to any database.
And, of course, it can be heavily visual, allowing you to interact with the database using diagrams, visually compose queries, explore the data, generate random data, import data or build HTML5 database reports.
>> Take a look at DBSchema
Partner – CAST AI – NPI EA (tag = kubernetes)
The Kubernetes ecosystem is huge and quite complex, so it’s easy to forget about costs when trying out all of the exciting tools.
To avoid overspending on your Kubernetes cluster, definitely have a look at the free K8s cost monitoring tool from the automation platform CAST AI. You can view your costs in real time, allocate them, calculate burn rates for projects, spot anomalies or spikes, and get insightful reports you can share with your team.
Connect your cluster and start monitoring your K8s costs right away:
>> FREE Kubernetes cost monitoring
Partner – MongoDB – NPI EA (tag = MongoDB) Partner – Thundra – NPI EA (tag = Jenkins)
You can get some real insight into your CI pipelines, and into your tests by using Foresight.
This includes not just the basics but some actual, actionable data like Change Impact Analysis, where we can see the changes in a PR and correlate them to test runs and test coverage to show how they affect our builds:
>> Try out Foresight in a project
Here we go…
1. Spring and Java
As Java continues to evolve, we may soon see hyphenated keywords, like the recently proposed (but later dropped) break-with.
And a quick overview of JSON-B, yet another JSON binding layer for Java.
It's cool to see Codota popping up in other writings I follow. The IDE plugin for IntelliJ and Eclipse takes some of the pain out of writing JPA criteria queries.
Also worth reading:
Webinars and presentations:
Time to upgrade:
2. Technical and Musing
Lessons learned implementing large cross joins in a Spark application.
Before buying into someone else's blueprint for success, it's good to remember that context is still king. What worked for them may not be the complete and tidy solution you're looking for.
Also worth reading:
3. Comics
4. Pick of the Week
res – REST with Spring (eBook) (everywhere)