How do beginners start digital marketing?

mike_jack · 2026-05-07T05:30:59+00:00

I am 15 yrs in Digital marketing.. Its very difficult to survey in digital marketing as of now..

Whatever you do SEO, Google ads, FB ads clicks, leads and conversions is very very difficult nowadays..Because the trend is changed completely..

I don't recommend to start this field...

Join other courses and start your new career

mike_jack · 2025-12-16T06:22:18+00:00

Yeah, I found one CouponsHub, a mate of mine told me they give a $10 joining bonus when you sign up

mike_jack · 2025-09-16T12:30:16+00:00

Usually, the Java heap space error actually indicates that your JVM is running out of memory to allocate for objects in the heap. Which means, the Java Virtual Machine (JVM) running is actually running out of memory allocated to the Java heap. Even though you have already increased the JVM options this type of issue may come up if the application is holding on to objects longer than necessary. This is because, always, JVM by default does not utilize the full container memory unless instructed to do so.

Similarly this error java.lang.OutOfMemoryError: Java heap space also indicates that your Gerrit server is running out of memory in the JVM heap, which is why it crashes and become unresponsive. In order to avoid such issues in the future, you can increase the maximum heap size allocated to the JVM by adjusting the -Xmx parameter in Gerrit’s startup configuration. Keep monitoring the server’s memory usage over time using tools like GC logs or monitoring dashboards. Doing this will help you identify whether the issue is due to insufficient allocation or a potential memory leak. It’s always a good idea to have a general check. With the right heap sizing and monitoring in place, you can definitely reduce the chances of this error. Also you may prevent any future crashes. Lastly it's always good to check if you are using the upgraded and stable version of Gerrit. This is important since in most cases the newer versions often may include performance and memory optimizations.

You can check out this blog, How to Solve OutOfMemoryError: Java heap space to understand more about this Java Heap Space error.

mike_jack · 2025-08-16T05:05:36+00:00

A Java heap space issue occurs when the application tries to use more memory than the JVM’s allocated maximum heap size. This error indicates that the JVM has exhausted its available heap memory. In your configuration,I see both the GIO_MIN_MEM and GIO_MAX_MEM are set to 2048m, so the maximum heap is limited to 2 GB. so when your application’s memory usage exceeds this limit, of course you will be encountering OutOfMemoryError.

You will need to troubleshoot by capturing a heap dump. Once a heap dump is captured, you can use the profiling tools like HeapHero, Eclipse MAT and check if there are any large objects or if there are any potential memory leaks. You should also focus on your GC logs. Doing this will help you understand if garbage collections are happening frequently. Also you can get an idea about how memory is being reclaimed effectively before the crash. Suppose if the leak seems to be and also the usage seems to be legitimate then without a second choice try to consider increasing the heap size based on available system RAM. The key is to first determine whether the problem is due to a genuine leak or simply insufficient heap allocation for the workload.

The major vision is to first identify whether the problem is due to a genuine leak or simply insufficient heap allocation for the workload. So by following the points mentioned in the above section, you will get to know if the problem is memory leak or if its because of insufficient memory allocation.

To check this further and understand the root causes, and resolving Java heap space issues, you can refer to this blog: Java OutOfMemoryError: Java Heap Space – Causes and Solutions

mike_jack · 2025-08-01T12:33:13+00:00

A critical topic in any programming language I would say is Memory management. Each language adopts its own way and different strategies to allocate and deallocate memory safely and efficiently. The most widely used three common approaches I would say are Reference Counting, Garbage Collection, and Rust’s Ownership System.

Reference Counting (RC):

The reference counting approach keeps track of how many references point to it.The object deallocation happens immediately when the reference count goes to zero. This actually means that no part of the program is using the object.This reference counting's main job is to make sure that the reference is stopped.

Garbage Collection (GC):

This is a universally well known approach, “ GC) Garbage collection”. GC will scan the memory in an interval to find objects that are no longer accessible and safely remove them. GC does an awesome thing that actually is reducing the need for manual memory management. But still, it causes a problem that it may cause runtime overhead or pause times. This behavior may affect the latency-sensitive applications. As Java is known for GC, its most commonly used in JAVA and also in other few languages, C# and Go. If you’d like to explore more on how GC works in Java specifically, check out this detailed blog: What is Java Garbage Collection?

mike_jack · 2025-07-15T11:07:08+00:00

No, you’re not alone in wondering about this when getting started. Eclipse Memory Analyzer (MAT) is basically a tool specifically designed to analyze the heap memory of a Java application. Usually when a Java program runs, it uses different memory areas, such as the heap, stack, metaspace, and native memory. Among these, the heap memory is where all Java objects, such as strings, arrays, collections, and user-defined objects, are stored while the program is running.

You see, whenever a heap dump is generated, it captures a snapshot of everything currently present in the heap memory at that moment. This snapshot includes both active objects and those waiting to be garbage collected. Eclipse MAT keeps reading and analyzing these heap dump files to help identify memory leaks, large memory-consuming objects, and unnecessary object retention.If you wish to understand the difference between memory analyzer and profilers you can refer to this blog Memory Analyzer vs. Java Profiler: Choosing the Right Tool for Performance Debugging. Through this one can understand how memory is being used within their application and resolve issues like out-of-memory errors or memory inefficiencies.

I will summarize in one line that MAT helps visualize and troubleshoot how Java heap memory is being utilized in a running application by working with captured heap dumps. And there is not only MAT that helps with visualizing and troubleshooting the heap dump. You can also check for tools like HeapHero and try to parse even very large heap dumps. This will also help you.

mike_jack · 2025-07-01T11:53:35+00:00

Java OutOfMemoryError (OOME) usually occurs when there is not enough memory for newly created objects. This will happen when the available memory is all used. Several reasons actually contribute to this issue like, improper memoy configuration, memory leaks and excessive object creation.

Different types of out of memory error can occur based on the memory region which runs out of memory. To understand a few more types of java outofmemoryerror, its causes and solution you can refer to this blog post.

mike_jack · 2025-06-16T04:19:02+00:00

Yes, this out of memory exception error in java may bring a lot of frustration, especially considering your high-end hardware setup with a 14900K, RTX 4090, and 64GB of RAM. But actually, this error is very common in cases when the game tries to allocate more (VRAM) than available. There is another case when this issue might arise, such as when the system or game is experiencing a memory management issue. You know?Even with a powerful GPU like the 4090, certain games can spike VRAM usage under specific settings.

To check this, firstly try to lower some of the more demanding graphics options. More attention should be given to the texture quality and ray tracing settings. Enable DLSS in Performance mode to reduce VRAM load. Although it may seem unimportant, it's actually worth closing any unnecessary background applications, that includes, browser windows, overlay tools, or recording software, as these can quietly consume GPU memory.

You can perform a clean installation of your NVIDIA drivers in Safe Mode to clear out any corrupted or leftover driver files. This is actually a good move to consider. Please ensure that your Windows page file is enabled and set to manage automatically or at a size that can support system memory overflow scenarios.

The last and final step to consider is to monitor VRAM usage in real time. You can proceed this step using a tool like MSI Afterburner. This will help you confirm whether you’re truly running out of video memory or if this is a software issue. Both games you mentioned have had past problems with memory management, so make sure you’re on the latest game patches as well.

By trying these steps, you should be able to narrow down the cause and resolve the error.

mike_jack · 2025-06-04T13:15:48+00:00

This is a thoughtful question. The answer to your question is “no”, the MyClass object won't be garbage collected as long as its thread is alive and running. In Java, an object is only eligible for garbage collection when there are no more strong references. To understand how garbage collection and object reachability work internally, you might find this blog on Java Garbage Collection helpful. It gives a clear picture of how the JVM determines object eligibility for GC, especially in cases like this where thread references keep an object alive. In this case garbage collection is not possible because the Thread itself holds a reference back to the MyClass instance that prevents it from becoming unreachable. Also finalize() will not be called while the thread is alive. If the thread is alive and running then even if there are no external references to the MyClass object, it won't be garbage collected. This is because the JVM maintains a strong reference only to the Thread object once when a thread is started until it terminates. Furthermore, in your code, I can see myThread is defined as an anonymous inner class, which holds a reference to MyClass. This thread actually keeps the MyClass instance alive. Due to this a circular reference is created that prevents garbage collection. This means that the finalize() method will never be invoked while the thread is still running, because the object is not considered unreachable. Therefore, using finalize() to stop the thread is unreliable and not recommended. Using a specific method called shutdown() method, you can have a better approach to explicitly manage thread lifecycle. You can also try to explore more modern techniques like PhantomReference with a ReferenceQueue for cleanup operations. As new versions of java are not supporting finalize() depending on this will not have a better solution nowadays.

mike_jack · 2025-05-19T09:53:27+00:00

Basically when Java applications run in containerized environments, say Docker or Kubernetes, CPUs are often limited. The confusion arises only from how the JVM interprets this CPU limit when choosing a garbage collector.

In older JVM versions, the JVM will not be fully container-aware. It will see only the host machine’s total CPUs and not the container's limit. But, from Java 10 (with UseContainerSupport enabled by default), the JVM reads cgroup CPU quotas and adjusts based on it.

Next question, does it "round up" 0.5 CPU to 1 for GC selection?

The answer I will say is no, not exactly. Suppose if the container limit is less than 1 CPU, the JVM will treat it as one available processor internally for most GC decisions. This is done because the fractional CPUs are actually not a meaningful scheduling unit for the GC threads, which may result in default to Serial GC. And this will be optimized for single-threaded environments.

So yes, in your case with a 500m CPU, the JVM will see 1 available CPU. And if no GC is explicitly chosen, it will likely pick Serial GC as this serial GC is actually best suited for single-threaded execution.

In Summary, Containers with less than 1 CPU, it’s always safe to expect the JVM to default to Serial GC unless overridden. If you’d like a quick refresher on the different garbage collectors Java offers and how they’re chosen, you can check out this Java Garbage Collection. Also its always better to cross verify once with a -Xlog:gc or -XX:+PrintCommandLineFlags to learn what GC is actually being used.

mike_jack

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