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The Granulate Blog: Continuous profiling

Performance Optimization Tips from our Engineering Team

All Containers Golang Kubernetes Python AWS Big Data GCP Java Node.js Kafka Azure Advertising Technology Continuous profiling
Best Practices for Identifying Bottlenecks in Modern Applications

Best Practices for Identifying Bottlenecks in Modern Applications

Ofer Dekel|May 31, 2023

Maximize your application's performance with these 5 steps to identify bottlenecks to ensure your applications remain at peak performance
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Shared Resources that Contribute to Java Bottlenecks
Java

Shared Resources that Contribute to Java Bottlenecks and Profiling Solutions

Ofer Dekel|May 9, 2023

Discover why the shared resources that cause Java bottlenecks have to be constantly monitored and optimized to ensure that the application...
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Golang Profiling: The Basics and a Quick Tutorial
Golang

Golang Profiling: The Basics and a Quick Tutorial

Ofer Dekel|January 19, 2023

Golang profiling is the process of collecting and analyzing data about the performance of a Go program, and is typically done with the open...
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Java Profiling: Why It’s Important & 3 Key Areas to Profile
Java

Java Profiling: Why It’s Important and 3 Key Areas to Profile

Ofer Dekel|January 19, 2023

Java profiling is the process of analyzing the performance of a Java application in order to identify bottlenecks and optimize its performance
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Optimizing Python_ Why Python Is Slow and 4 Optimization Methods

Optimizing Python: Why Python Is Slow and 4 Optimization Methods

Ofer Dekel|November 8, 2022

Python optimization is the process of improving performance of Python programs, despite the inherent disadvantages of the technology
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Continuous Profiling for Python Applications

Continuous Profiling for Python Applications

Ofer Dekel|September 22, 2022

Read this step-by-step guide to learn how to benefit from continuous profiling and see a Python application example
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Continuous Profiling for Scala Applications

Continuous Profiling for Scala Applications

Ofer Dekel|September 8, 2022

Learn how to use Granulate's continuous profiler to profile your entire server including both the user and kernel stack
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The Scale Trap_ How We Reduced CPU Utilization by 80_

The Scale Trap: How We Reduced CPU Utilization by 80%

Granulate|June 7, 2022

This transcript from DeveloperWeek Cloud features R&D Team Lead at Granulate and how his team reduced CPU utilization from 80% to 15%
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Low overhead Python application profiling using eBPF

Low overhead Python application profiling using eBPF

Yonatan Goldschmidt|May 24, 2022

Team Lead in Granulate’s performance research department, Yonatan discusses low-overhead Python application profiling with eBPF
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