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
At the very beginning of last year, I decided to track my reading habits and share the best stuff here, on Baeldung. Haven't missed a review since.
Here we go…
1. Spring and Java
A good clarification of how the recently discussed serialization vulnerability works and why coding your inputs defensively is always a good idea.
Some very cook things coming down the pike for Java.
Also worth reading:
Webinars and presentations:
Time to upgrade:
2. Technical
A quick and interesting read about not working with dates driven by gut feeling. Dates are always tricky – use a proper library.
Always thought-provoking and always deep-diving into the finer points and nuances of test-driving and designing code.
The other side of convention over configuration.
Also worth reading:
3. Musings
A good discussion started for the thorny problem of code quality.
From the outside, this seems to be a pretty common experience in academia, unfortunately. An interesting read.
Also worth reading:
4. Comics
And my favorite Dilberts of the week:
5. Pick of the Week
res – REST with Spring (eBook) (everywhere)
