In this blog post, we are going to understand the impact of functions calls in an application and what JIT does to reduce its impact.
JIT Optimizations – Method Inlining
Author: Mridul Verma
Computer Scientist. Currently working as a Search Performance Engineer in a fast paced machine data analytics company.
JIT Optimizations – Method Compilations
JIT ( Just in Time ) is certainly one of the most interesting features of JVM. This feature makes sure that we are able to run our code with machine level optimizations.
Java Unsafe APIs
Java Unsafe APIs provides various low-level APIs which could be used by programmers but we should be very careful when to use these APIs. These APIs provide a way to access off heap memory in java.
Thought Paper – What if we combine compression with encryption ??
This thought paper tries to reason about how can we combine encryption and compression in a single operation and get away with traditional way of first compressing and then encrypting the compressed data to create the final encrypted and compressed data.
Understanding Linux Internals for Data Transfer – Part 3
In this blog post our main goal is to understand the differences with downloading data from S3 with and without using AWS-SDK.
Understanding Linux Internals for Data Transfer – Part 2
In this blog post our main goal is to understand the differences with downloading data from S3 with and without using AWS-SDK.
Understanding Linux Internals for Data Transfer – Part 1
In this blog we are specifically going to talk about how does linux currently implements and expose APIs or system calls for transferring of data from one system to another with focus being on downloading and how can we improve the download time.
Linux Block MQ – simple walkthrough
In this article we are going to talk about Linux Block MQ and its potential benefits.
Uneven Distribution of Requests on Large Scale Clusters
In this blog we are going to talk about one of the issues which led to uneven distribution of requests on our cluster.
Understanding Long GC Pauses with JVMs
In Applications keeping large caches, when the old generation is occupied by strong referenced objects, applications tend to do FULL GCs each time young generation gets fully occupied.