Performance
Carl Dea is a Senior Developer Advocate at Azul. He has authored Java books and has been developing software for 20+ years with many clients, from Fortune 500 companies to nonprofit organizations. He has written software ranging from mission-critical applications to e-commerce applications. Carl has been using Java since the very beginning (when Applets were cool) and is a JavaFX enthusiast (fanboy) dating back to when it used to be called F3/JavaFX script. He greatly loves sharing and advocating Java based technologies.
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- DevOps
- Getting Started
- Java Core
- Performance
Did You Know You Can Create Mappers Without Creating Underlying Objects in Java?
Learn how to devise a way of creating an object-creation-free, light-weighted mapper with rudimentary lookup capability.
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- Java Core
- Performance
The Unix Philosophy for Low Latency
How to realize the Unix Philosophy in Enterprise IT using a strongly-typed Enterprise language (Java), a suitable component technology (microservices) and an appropriate mechanism to glue them together (Chronicle Queue & Wire)
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- Java Core
- Performance
The Story of a Java 17 Native Memory Leak
How a native memory leak in Java 17 got fixed, improving the future operability of the JVM platform for millions!
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- Java Core
- Performance
What the Heck Is Project Loom for Java?
Project Loom aims to fix issues in the current concurrency model by introducing two new features: virtual threads and structured concurrency.
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- Performance
Cassandra Performance: Throughput, Responsiveness, Capacity, and Cost
Azul’s Platform Prime is by far the highest throughput JVM for powering Cassandra, also exhibiting better response times and latencies.
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- Databases
- Neo4J
- Performance
- Testcontainers
- testing
Faster Integration Tests with Reusable Testcontainers
Learn how to improve your test performance against container-based resources by magnitudes in a couple of easy steps!
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- Performance
A Flavour of TornadoVM on Apple M1 Pro
This article aims to describe all of the main steps required to install and run TornadoVM on Apple M1 Pro.
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- Opinion
- Performance
The Cost of Production Blindness
The Cloud rose to fame on the banner of cutting costs but with its tremendous growth, spend is rocketing. Learn how you can cut down overspend!
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- DevOps
- Performance
General Build Distribution: A Game-Changer or a Gimmick?
Understand the performance potential of remote and distributed builds and explore how to improve build feedback times.
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- Getting Started
- Performance
- Release Notes
Released: OpenJDK 18.0.2, 17.0.4, 15.0.8, 13.0.12, 11.0.16, 8u342
Java has regular patch and security updates that are co-ordinated across the community, they happen once per quarter. When these updates happen, there are fixes that include security issues, all of which are displayed on Foojay.io. The next quarterly release …
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- DevOps
- Performance
Remote and Distributed Build Patterns
Let’s review build patterns leveraging remote machines, clarify the definition of remote and distributed builds, and discuss their variations.
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- Performance
- Spring
- sql
- Trip Reports
Spring Boot Performance Workshop with Vlad Mihalcea
Learn how to improve the performance of a Spring application and diagnose production problems. Lessons from our live workshop covering JPA!
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- Developer Tools
- Getting Started
- JEPs
- Performance
- Project Panama
- Tutorials
Building Project Panama’s jextract tool by yourself
Learn about jextract, which can generate Java binding code that represents native functions or variables (symbols) from C libraries.
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- Apache Cassandra
- Databases
- Performance
How DataStax Tracked Down a Linux Kernel Bug with Fallout
Sometimes as a developer, you run into a bug buried deep within the layers of your software stack. Chasing down the root cause requires not only curiosity, patience, and a healthy dose of tenacity but a willingness to try different …
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- Apache Cassandra
- Databases
- Performance
Optimizing Distributed Joins: The Case of Google Cloud Spanner and DataStax Astra DB
In this post, learn how relational and NoSQL databases, Google Cloud Spanner and DataStax Astra DB, optimize distributed joins for real-time applications. Distributed joins are commonly considered to be too expensive to use for real-time transaction processing. That is because, …
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- Getting Started
- Microservices
- Performance
Let’s Compile Java Code in the Cloud!
Antiquated features of the JVM make it hard to utilize resources on your Cloud instances. Is it time for Java compilation in the Cloud?
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Diving into JVM Framework Monitoring and Profiling
Let’s look at how frameworks work under the hood, namely Quarkus and Spring Boot, and how many threads they initiate to serve up results.
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- Performance
Getting More Mileage Out of Kafka: OpenJDK vs. Azul Prime
Kafka is horizontally scalable, fault-tolerant, runs in production for thousands of companies – let’s figure out how to get more out of it!
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- Java Core
- JDK Flight Recorder
- Performance
Thinking About Massive Throughput? Meet Virtual Threads!
Virtual threads not only help to increase application throughput by running a much bigger number of concurrent tasks together, they also provide a framework to refactor already existing code.
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- Getting Started
- JEPs
- Performance
- Project Panama
- Research
Java Panama Polyglot (Python/Tensorflow) Part 3
How can you, as a Java developer, execute Python script code and access 3rd party Python libraries such as Tensorflow?
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- Getting Started
- Performance
- Security
Does Java 18 Finally Have A Better Alternative To JNI?
Java 18, released last month, includes the 2nd incubator of the Foreign Function & Memory API (FFI). Let’s look at the state of the Java FFI.
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