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<a href="https://vanilla-java.github.io/2018/03/21/Blockchain-basics.html" itemprop="url" data-pjax title="Blockchain basics">
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<p>The key difference between blockchain and traditional databases is the level of trust needed in those running the service. With blockchain you trust the protocol, not those running it. What does a blockchain do? A…</p>
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StringBuffer, and how hard it is to get rid of legacy code
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<p>In 2006, Java 5.0 was released with StringBuilder, a more light weight and sane version of StringBuffer. The Javadoc for Java 5.0 for StringBuffer notes As of release JDK 5, this class has…</p>
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Object Pools revisited
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<p>Object pools were popular before Java 5.0 however more efficient allocation made most of these pools a needless complication. Can a Object Pool still make sense and how fast do they need to be?…</p>
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Improving percentile latencies in Chronicle Queue
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<p>Compared to a year ago, we have significantly improved the throughput at which we can achieve the 99%ile (worst one in 100). What tools and tricks did we use to achieve that? What are…</p>
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Chronicle Queue storing 1 TB in virtual memory on a 128 GB machine
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<p>If you use a standard JVM like the Oracle JVM, or the OpenJDK, you might find that as the heap size grows the performance of your JVM can drop as GC pause time escalates. This…</p>
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Choosing Chronicle FIX Engine
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<p>Overview The FIX Trading Community web site has posted a list of common questions about FIX Engines. This page brings together our answers for these questions. For more details on Chronicle FIX Capabilities/throughput Chronicle…</p>
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<p>Chronicle Wire supports multiple Wire Formats such as YAML, JSON and CSV. It also supports a binary format of YAML for performance. Chronicle Wire Enteprise has an additional Wire Format which performs simple compression which…</p>
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Goldilocks Microservices
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<p>How to structure microservices? When structuring microservices we have to consider; how fine grain should our components be? how distributed should they be? I believe it’s important to treat these as separate concerns,…</p>
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<p>When developing an application it can be hard enough to get the happy path working, let alone worry about what might happen when something goes wrong. I have asked a number of developers recently what…</p>
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<p>Distributing data stores vs Private data stores in Microservices Distributing data containers e.g. Maps, can be a way of avoiding having to think too much about distributing your application. Your business logic is much…</p>
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<p>Service Interactions There is a number of simple interactions a service can support. Which pattern is best for your application can depend on what an existing application expects, and what latency requirements you have. Broadly…</p>
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Simple Asynchronous Microservices using Lambda Architecture.
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<p>Lambda Architecture Lambda Architecture is a simple, powerful, though limited example of a Microservice. As it is so simple, you want to use it as much as possible, to expose the more complex services/component…</p>
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Microservices are about applying a group of Best Practices
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<p>Microservices Denial A number of times clients have said; they can’t imagine their organisation using Microservices. I found this surprising as I know those people are using many of the principles of Microservices…</p>
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<p>This program has two threads printing messages alternatively. However if you change a String from "cC" to "cc" it doesn’t print anything, WHY? public class PingPongMain { public static void main(String[] args) throws…</p>
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Microservices in the Chronicle World - Part 5
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<p>In this part we look at putting a micro service together as a collection of services, and consider how we can evaluate the performance of these services. We introduce JLBH (Java Latency Benchmark Harness) to…</p>
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Microservices in the Chronicle world - Part 4
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<p>A common issue we cover in our workshops is, how to restart a queue reader after a failure. The answer is not a simple as you might think. We do an on-site one week workshop…</p>
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<p>One of the problems with using microservices is performance. Latencies can be higher due to the cost of serialization, messaging and deserialization, and this reduces throughput. In particular, poor throughput is a problem because the…</p>
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<p>In this part we look at turning a component into a service. In Part 1, we looked at how we can easily create and test components which expect asynchronous messages[1] in and produce asynchronous…</p>
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