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
Optimize performance with end-to-end tracing and out-of-the-box support for popular Java frameworks, application servers, and databases.
This write-up might help alleviate any fear, uncertainty, and doubt you may have about sticking with Java. And, a solid read on the topic, over on InfoQ.
A quick look at the new String methods that are coming soon in JDK 11.
Nice overview of this Spring Data module that fills a need for those who don't want to submit to the complexities of JPA.
And, as this series comes to an end, we learn how to secure a Spring Cloud GCP application in production.
Also worth reading:
Time to upgrade:
2. Technical and Musings
The pain points experienced while building software can actually provide a valuable feedback loop that helps us write better software.
An interesting write-up on how Netflix uses quantile functions to measure Quality of Experience.
Also worth reading:
And my favorite Dilberts of the week:
4. Pick of the Week
res – REST with Spring (eBook) (everywhere)