Interviews can be daunting. Spending hours prepping, only to blank out when asked a question you don‘t know how to tackle. I‘ve been there before.
But here‘s the thing – WildFly or JBoss related questions feature prominently across Java, DevOps and middleware heavy roles. Having a strong grasp of the concepts can make or break your next big interview.
That‘s why I‘ve put together this expert handbook containing 17+ well-researched and detailed WildFly interview questions to comprehensively equip you on this crucial topic.
By the end of this guide, you will have mastered:
- WildFly architecture, features and use cases
- Directory layout, modes of operation and clustering
- Performance tuning, deployments and integrations
- Administration, monitoring and troubleshooting
- Scale out techniques and best practices
Let‘s start unraveling the mysteries of WildFly!
An Introduction to WildFly Application Server
Before we jump into the interview questions, it‘s important to level set the background and capabilities of WildFly that make it a popular choice for modern application deployments.
A Brief History
JBoss application server was first released in 2001 by JBoss Inc, later acquired by RedHat in 2006. It was open-sourced from the start which contributed to massive community adoption. Given it‘s modular architecture, it could integrate the latest Java EE innovations faster than closed-source competitors.
It was rebranded as WildFly in 2014 as part of efforts to modernize the codebase and architecture to leverage latest cloud-native technologies. It retained backwards compatibility with JBoss AS to simplify migrations.
Over the years, WildFly has consistently featured amongst the top three most widely used application servers making it a common point of discussion in interviews.
Key Characteristics and Benefits
So what makes WildFly such a compelling platform?
- Optimized for cloud environments with small container footprint
- Blazing fast startup and throughput speeds using advanced multithreading
- Unmatched deployment flexibility supporting industry standard formats like WAR, JAR and EAR files
- Simplified configuration through intuitive domain model and centralized management
- Modern HTML5 web admin console allowing managing all aspects of applications
- Robust scalability mechanisms enabling scale up and scale out scenarios
These attributes allow WildFly to efficiently host the most demanding enterprise workloads while lowering TCO.
WildFly Interview Questions and Answers
Now that you understand where WildFly fits in the middleware landscape, let‘s get to the good stuff – the interview questions!
I‘ve structured the questions across various aspects of WildFly so that you leave with a well-rounded grasp of both theoretical concepts as well as practical administration topics.
WildFly Architecture Questions
Questions focused on understanding WildFly architectural building blocks:
Q1. Explain the Directory Structure of WildFly Installation
Being able to navigate the directory structure comfortably is critical from an administration perspective.
Here are the key directories present in WildFly installation:
Directory | Description |
---|---|
standalone | Contains standalone server configuration files |
domain | Centralized configuration for managing domains |
modules | Globally defined modules and jar dependencies |
bundles | OSGi related resource bundles |
appclient | Used for application client container configurations |
welcome-content | Houses static web content for root context |
bin | Contains scripts for controlling WildFly instance |
docs | Documentation files related to WildFly |
log | Default logging directory |
Additionally, below are some configuration files to be aware of:
standalone.xml – Configuration file for standalone servers
domain.xml – Defines Domain controllers and managed servers including cluster definitions
modules/system/layers/base – Contains core JDK and other default module dependencies
Having awareness of the above layout allows rapidly tracing issues and processes when administering WildFly servers.
Q2. How is Clustering handled in WildFly?
WildFly relies on JGroups project for providing its clustering capabilities which enables creating groups of WildFly instances and managing them collectively.
Some key functionalities provided by JGroups are:
- Dynamic cluster membership management
- Group partitioning detection
- Cluster member status notifications
- Reliable messaging across nodes
It uses a topology-agnostic protocol to detect node joins/exits from cluster group and notify other members seamlessly.
Some common topologies used with WildFly clustering are:
Topology | Description |
---|---|
Broadcast | Messages broadcasted to all members |
Mesh | Each node connected to every other peer |
Master / Slave | Central coordinating master with slave nodes |
In summary, JGroups forms the foundation for enabling WildFly clustering through discovery, messaging and coordination between cluster members.
Q3. What are the Main WildFly Running Modes?
WildFly supports two major runtime configurations catering to different use cases:
1. Standalone Mode
- Single Java Virtual Machine (JVM)
- Ideal for development and testing
- All services bundled into single runtime
- Quick startup and deployment cycle
- Configuration via standalone.xml
2. Domain Mode
- Central policy based management of multiple JVMs
- Preferred for large production environments
- Components:
- Host Controller: Life-cycle and services management
- Domain Controller: Central policy administration
- Managed Servers: Runs deployed applications
- Benefits:
- Centralized configuration
- Scalability through managed servers
- High availability by distributing load
- Simplified cluster management
So in summary, standalone mode suits simpler environments while domain mode is designed for large scale production deployments needing centralized administration and high availability. This choice is a key architectural consideration.
WildFly Administration Questions
Now some questions focused exclusively on WildFly administration:
Q4: What are different logging levels in WildFly?
WildFly incorporates JBoss Logging framework to provide logging capabilities supporting 5 severity levels:
Level | Description |
---|---|
FATAL | Unrecoverable system-wide failure |
ERROR | Functionality unavailable, requires intervention |
WARN | Encountered an unexpected or unusual situation |
INFO | Outputs system lifecycle events for audit purposes |
DEBUG | Diagnostic information to troubleshooting issues |
Logging level allows controlling verbosity exposed. Typically FATAL, ERROR and WARN indicate issues needing attention. INFO and DEBUG provide insight into server state changes and diagnostics.
Q5: How can you increase the application server Java heap memory in WildFly?
The WildFly Java Virtual Machine heap memory settings can be updated by editing:
/standalone/configuration/standalone.conf
Below are the key properties that control the memory limits:
JAVA_OPTS="-Xms64M -Xmx512M"
Where,
Xms - Initial java heap size
Xmx - Maximum java heap size
To allow more memory for applications, increase Xms for initial allocation and Xmx for maximum possible value.
For example,
JAVA_OPTS="-Xms2048M -Xmx4096M"
This bumps up initial heap to 2GB and maximum heap to 4GB that applications can utilize.
Q6: How do you access the WildFly Admin console?
The administration console allows managing various services and deployments on WildFly through an intuitive web UI.
To access it:
- Login to host machine
- Go to
$JBOSS_HOME/bin
- Execute
./add-user.sh
to add admin credentials - Start WildFly server
- Access http://<host>:9990/console
This will present the login page for the UI where you can enter admin username/password.
Some key things that can be managed through console:
- Server runtime configuration
- Create data sources
- Define JMS queues / topics
- Deploy, start, stop applications
- Apply patches
- Performance tuning
- Monitor server health metrics
Familiarity with navigating the admin console and reading key statistics is expected from a proficient administrator.
WildFly Deployments Questions
Lets go through some deployment focused questions:
Q7: What deployment scanner is used in WildFly?
WildFly incorporates an advanced virtual file system based scanner to auto-deploy applications whenever files change under the deployments directory without needing restarts.
It continuously scans deployments folder recursively for changes with below key features:
- Interval between scans is 5 seconds
- Immediately detects new files copied
- Identifies updated file timestamps
- Processes standard marker files like .dodeploy, .deployed, .failed etc
This hot deployment mechanism provides huge productivity improvements for developers by instantly reflecting changes without redeploying artifacts manually.
Q10. Explain different supported deployment file formats
WildFly supports a wide range of portable application packaging formats allowing hosting any flavor of Java EE based applications:
JAR
- Used for packaging Java libraries, utility classes and Enterprise Java Beans
- Groups relevant classes and resources together
WAR
- Web Application aRchive
- For webapps, microservices and UI applications
EAR
- Enterprise ARchive
- Often used as container for packaging WAR, JAR and EJB modules together
SAR
- Service ARchive
- Useful for services like MDBs consuming messages
Additionally, OSGi bundles with .jar extension can also be deployed.
This deployment flexibility makes WildFly ideal for hosting polyglot applications.
WildFly Performance Tuning Questions
Now some questions focused on optimizing WildFly performance:
Q16. How can you optimize WildFly performance?
Some key optimization techniques for WildFly include:
JVM Tunings
- Heap size
- Garbage collection algorithms
- JVM arguments
Pooling
- Optimal datasource configuration
- Size thread pools appropriately
- Pool JMS resources
Caching
- Leverage cache providers
- Distributed caching
Profiling
- Identify bottlenecks
- Tune identified slow operations
Asynchronous
- Async processing with callbacks
- Non blocking IO
A combination of above approaches allows maximizing throughput and responsiveness for applications hosted on WildFly.
Q17. How can you horizontally scale out WildFly applications?
When vertically scaling WildFly hits limits, horizontal scaling allows accommodating growing workloads by adding more nodes.
Some techniques that help scale out are:
Managed servers
- Add more managed servers
- Distribute load evenly
Messaging
- Async event based processing through AMQP
- Persist events for later processing
Caching
- Speed up repeated data reads
- Reduce database trips
Queuing
- Handle traffic spikes
- Prevent overloading resources
Using above approaches additional WildFly nodes can be leverage to scale to any capacity required by the application.
WildFly Integrations Questions
Some questions around integrating WildFly with other components:
Q11: How can you integrate WildFly with Apache web server?
Popular options to integrate Apache HTTPD with WildFly application server are:
mod_proxy
- Native Apache module
- Reverse proxy for passing requests
- Handles load balancing
- Manages integration at HTTP level
mod_cluster
- Distributes load across WildFly clusters
- Health check of back-end nodes
- Dynamic discovery of cluster members
- Supports both sticky/non-sticky sessions
- Needed for session replication
mod_cluster is the recommended approach as it enables more intelligent and granular load distribution while providing visibility into back-end WildFly cluster health and status.
Implementation of either integration requires configuring Workers in httpd.conf and defining appropriate connectors.
Q12: What is a quick way to test JMS on WildFly server?
WildFly ships with an out of box JMS test queue pre-configured simplifying validation of messaging capabilities:
Standalone Server
<jms-queue name="testQueue">
<entry name="/queue/test"/>
</jms-queue>
We can directly utilize this queue for sending/receiving messages without needing a full fledged application using the CLI:
# Create test queue
/subsystem=messaging/hornetq-server=default/jms-queue=testQueue:add(entries=[java:/jms/queue/test])
# Start messaging subsystem
/subsystem=messaging/hornetq-server=default:start
# Send message
/subsystem=messaging/hornetq-server=default/jms-queue=testQueue:put(data="Hello queue!")
# Receive message
/subsystem=messaging/hornetq-server=default/jms-queue=testQueue:take
This allows quickly validating core messaging functionalities without the overhead of building a full application.
Bonus Questions
To further test your WildFly skills, here are some bonus questions:
How can you ensure only approved changes are applied on Production servers?
WildFly provides robust rollout controls through concept of configuration groups – different server groups can run with different configs before approving for entire domain preventing uncontrolled changes rolling out.
For example:
- Test: Apply changes to test environment first
- Staging: Next, rollout incrementally to staging servers
- Production: Finally production approval after sufficient testing
It enables a structured workflow before globally applying changes.
How can datsource connection validity be ensured in WildFly?
Two mechanisms help ensure datasource connection validity:
validate-on-match
- Validates connection on matching requests
- Detects stale connections
background-validation
- Periodically validate connections
- Define frequency through background-validation-millis interval
- Lower database load
Recommended approach: Validate on every request to immediately detect issues combined with periodic checks.
Final Thoughts
Phew! That was quite an epic journey covering the gamut of WildFly concepts at an industry professional level. I‘m confident these Battle tested interview questions have armed you with sufficient depth of knowledge to tackle any WildFly related problem thrown at you!
Do let me know in your feedback if you would like a similar style in-detail guide focused on any other technologies like Apache Tomcat, IBM WebSphere etc.
Now off you go to smash those interviews! Best of luck 🙂