The workshop is based on several Nikita Salnikov-Tarnovski lectures + my own research. The workshop consists of 2 parts. The first part covers:
- different Java GCs, their main features, advantages and disadvantages;
- principles of GC tuning;
- work with GC Viewer as tool for GC analysis;
- first steps tuning demo;
- comparison primary GCs on Java 1.7 and Java 1.8
The second part covers:
- work with Off-Heap: ByteBuffer / Direct ByteBuffer / Unsafe / MapDB;
- examples and comparison of approaches;
The off-heap-demo: https://github.com/moisieienko-valerii/off-heap-demo
This document provides an overview of garbage collection in Java. It begins with an introduction to the presenter Leon Chen and his background. It then discusses Java memory management and garbage collection fundamentals, including the young and old generations, minor and major garbage collections, and how objects are promoted between generations. The document provides examples of garbage collection using diagrams and discusses tuning the Java heap size based on the live data size. It emphasizes the importance of garbage collection logging for performance analysis.
Java garbage collection has evolved significantly since its inception in 1959. The modern Hotspot JVM uses generational garbage collection with a young and old generation. It employs concurrent and parallel techniques like CMS to minimize pauses. OutOfMemoryErrors require increasing heap sizes or fixing leaks. Finalizers are generally avoided due to performance impacts. GC tuning must be tested under realistic loads rather than one-size-fits-all settings. Analysis tools help correlate GC logs with application behavior.
This document describes a testing framework for analyzing Java garbage collection (GC) performance. It consists of:
1. A properties file that specifies test parameters like the GC algorithm, heap size, and object lifetimes.
2. A script file that defines the sequence of object creations and workload.
3. Classes that execute the script, measure GC performance, and write output to log files.
4. A script that iterates the tests, varying a property each time and analyzing the results.
English version of the presentation we gave at Devoxx FR 2012.
In depth analysis on how java Garbage collector works and how to minimise pause in your application.
§£§ñ§é§Ö§ã§Ý§Ñ§Ó §¢§Ý§Ú§ß§à§Ó ?Java Garbage Collection: A Performance Impact?Anna Shymchenko
?
This document discusses Java garbage collection and its performance impact. It provides an overview of garbage collection, including that garbage collectors reclaim memory from objects no longer in use. It describes the different Java GC algorithms like serial, parallel, CMS, and G1 collectors and how to choose between them based on factors like heap size and CPU availability. It also gives guidance on basic GC tuning techniques like sizing the heap and generations as well as using adaptive sizing controls.
The Java Memory Model describes the behavior of memory in Java programs. It defines how threads share access to data and the possible effects of optimizations and reordering of code by compilers and processors. The model introduces the concepts of synchronization actions, happens-before ordering, and volatile variables to define the visibility and ordering of memory reads and writes between threads.
This document discusses Java concurrency and the Java memory model. It begins with an agenda that covers the Java memory model, thread confinement, the Java atomic API, immutable objects, and memory consumption. It then goes into more detail on the Java memory model, discussing topics like ordering, visibility, and atomicity. It provides examples and references to help understand concepts like sequential consistency and data races. It also covers thread confinement techniques like ad hoc confinement, stack confinement, and using ThreadLocal.
This document discusses the Java Memory Model (JMM). It begins by introducing the goals of familiarizing the attendee with the JMM, how processors work, and how the Java compiler and JVM work. It then covers key topics like data races, synchronization, atomicity, and examples. The document provides examples of correctly synchronized programs versus programs with data races. It explains concepts like happens-before ordering, volatile variables, and atomic operations. It also discusses weaknesses in some common multi-threading constructs like double-checked locking and discusses how constructs like final fields can enable safe publication of shared objects. The document concludes by mentioning planned improvements to the JMM in JEP 188.
The Java Memory Model describes how threads interact with shared memory in Java programs. It allows compiler optimizations but also provides constructs like synchronized, volatile, and final to establish "happens-before" ordering between threads and ensure visibility and atomicity of memory operations. The model is designed to enable both efficient multithreaded execution and correct synchronization in user code.
§¯§Ú§Ü§à§Ý§Ñ§Û §±§Ñ§á§Ú§â§ß§í§Û §´§Ö§Þ§Ñ: "Java memory model §Õ§Ý§ñ §á§â§à§ã§ä§í§ç §ã§Þ§Ö§â§ä§ß§í§ç"Ciklum Minsk
?
This document provides an overview of the Java Memory Model (JMM). It begins by explaining why developers should learn about the JMM and covers key concepts like program order, sequential consistency, synchronization actions, synchronization order, happens-before relationships, and double checked locking. The document uses examples and diagrams to illustrate these concepts and how the JMM handles issues like visibility and atomicity in multithreaded programs. It aims to explain the essential aspects of the JMM in an accessible way for developers.
Java Memory Consistency Model - concepts and contextTomek Borek
?
Java Memory Consistency Model is a difficult topic.
It's useful in making sure that multi-threaded programs on multi-threaded cores will interact with each other (and through memory) in a consistent manner.
It's specification is damn hard (even according to folks with lots of concurrent experience, like Doug Lea) to read, understand and routinely follow without error.
This presentation talks about some fallacies surrounding memory model, explains it, offers definitions and reasons for it's existence. It ain't deep, it's more entry level stuff.
This slide will explain about building blocks of JVM optimization for you java based application.
It explains basics of heap concepts and different type of java garbage collectors.
This presentation is primarily based on Oracle's "Java SE 6 HotSpot? Virtual Machine Garbage Collection Tuning" document.
This introduces how Java manages memory using generations, available garbage collectors and how to tune them to achieve desired performance.
This document discusses the Java Memory Model (JMM) and how it describes how threads interact through memory in Java. It covers key aspects of the JMM including happens-before ordering, memory barriers, visibility rules, and how final fields and atomic instructions interact with the memory model. It also discusses performance considerations and how different processor architectures implement memory ordering.
The Java Memory Model defines rules for how threads interact through shared memory in Java. It specifies rules for atomicity, ordering, and visibility of memory operations. The JMM provides guarantees for code safety while allowing compiler optimizations. It defines a happens-before ordering of instructions. The ordering rules and visibility rules ensure threads see updates from other threads as expected. The JMM implementation inserts memory barriers as needed to maintain the rules on different hardware platforms.
Nowadays people usually talk more about big data, internet of things, and other buzzwords on various conferences. However, sometimes developers tend to not pay enough attention to the core things such as garbage collection. After having a short discussion with many somewhat experienced Java developers I came to a conclusion that most of them do not know how many garbage collectors there are in the latest JVM, and under what circumstances each of them should be enabled. This presentation is aimed to improve or refresh people¡¯s knowledge on this core topic, and share a real use case when it helped us to resolve production issue.
At first glance, writing concurrent programs in Java seems like a straight-forward task. But the devil is in the detail. Fortunately, these details are strictly regulated by the Java memory model which, roughly speaking, decides what values a program can observe for a field at any given time. Without respecting the memory model, a Java program might behave erratic and yield bugs that only occure on some hardware platforms. This presentation summarizes the guarantees that are given by Java's memory model and teaches how to properly use volatile and final fields or synchronized code blocks. Instead of discussing the model in terms of memory model formalisms, this presentation builds on easy-to follow Java code examples.
GC Tuning in the HotSpot Java VM - a FISL 10 PresentationLudovic Poitou
?
This document provides a summary of a presentation on garbage collection tuning in the Java HotSpot Virtual Machine. It introduces the presenters and their backgrounds in GC and Java performance. The main points covered are that GC tuning is an art that requires experience, and tuning advice is provided for the young generation, Parallel GC, and Concurrent Mark Sweep GC. Monitoring GC performance and avoiding fragmentation are also discussed.
The document discusses Java garbage collection. It begins with an introduction to garbage collection, explaining that it is used to release unused memory and each JVM can implement its own garbage collection algorithms. It then covers the main garbage collection algorithms of reference counting, mark and sweep, and stop and copy. It also discusses finalize() methods, reference types in Java including strong, soft, weak and phantom references, and tips for improving garbage collection performance in Java programs.
The document discusses the new unified logging system in Java 9 for garbage collection (GC) logs. It introduces the -Xlog:gc option that provides a common interface for GC logging and deprecates old GC logging flags. Examples are provided showing GC logs from both the old and new logging approaches. The key points covered are the unified logging framework in Java 9, how it applies specifically to GC logging, and migrating existing GC logging configurations to use the new -Xlog:gc option.
This document discusses garbage collection in Java. It begins by explaining the motivation for garbage collection in Java, such as avoiding memory leaks and heap corruption. It then covers the goals of garbage collectors, including minimizing memory overhead, maximizing application throughput while keeping pause times low. Different types of garbage collectors are described, such as serial, parallel, CMS, and G1 collectors. Key concepts like generations, GC roots, and safe points are also summarized.
Introduction of Java GC Tuning and Java Java Mission ControlLeon Chen
?
This document provides an introduction and overview of Java garbage collection (GC) tuning and the Java Mission Control tool. It begins with information about the speaker, Leon Chen, including his background and patents. It then outlines the Java and JVM roadmap and upcoming features. The bulk of the document discusses GC tuning concepts like heap sizing, generation sizing, footprint vs throughput vs latency. It provides examples and recommendations for GC logging, analysis tools like GCViewer and JWorks GC Web. The document is intended to outline Oracle's product direction and future plans for Java GC tuning and tools.
In Java 9, Garbage First Garbage Collector (G1 GC) will be the default GC. This presentation makes an effort to help Hotspot VM users to understand the concept of G1 GC as well as provides some tuning advice.
The document discusses Java garbage collection. It describes that Java objects are eligible for garbage collection when no longer reachable. Garbage collection has two stages - finalization and reclamation. There are four garbage collection algorithms in Java 5 and 6, but one will be removed, leaving three algorithms: serial, throughput, and concurrent low pause. The document provides details on how these three algorithms perform garbage collection.
The Generational Garbage collection involves organizing the heap into different divisions of memory space
in-order to filter long-lived objects from short-lived objects through moving the surviving object of each
generation¡¯s GC cycle to another memory space, updating its age and reclaiming space from the dead
ones. The problem in this method is that, the longer an object is alive during its initial generations, the
longer the garbage collector will have to deal with it by checking for its reachability from the root and
promoting it to other space divisions, where as the ultimate goal of the GC is to reclaim memory from
unreachable objects at a minimal time possible. This paper is a proposal of a method where the lifetime of
every object getting into the heap will be predicted and will be placed in heap accordingly for the garbage
collector to deal more with reclaiming space from dead object and less in promoting the live ones to the
higher level.
This document discusses Java concurrency and the Java memory model. It begins with an agenda that covers the Java memory model, thread confinement, the Java atomic API, immutable objects, and memory consumption. It then goes into more detail on the Java memory model, discussing topics like ordering, visibility, and atomicity. It provides examples and references to help understand concepts like sequential consistency and data races. It also covers thread confinement techniques like ad hoc confinement, stack confinement, and using ThreadLocal.
This document discusses the Java Memory Model (JMM). It begins by introducing the goals of familiarizing the attendee with the JMM, how processors work, and how the Java compiler and JVM work. It then covers key topics like data races, synchronization, atomicity, and examples. The document provides examples of correctly synchronized programs versus programs with data races. It explains concepts like happens-before ordering, volatile variables, and atomic operations. It also discusses weaknesses in some common multi-threading constructs like double-checked locking and discusses how constructs like final fields can enable safe publication of shared objects. The document concludes by mentioning planned improvements to the JMM in JEP 188.
The Java Memory Model describes how threads interact with shared memory in Java programs. It allows compiler optimizations but also provides constructs like synchronized, volatile, and final to establish "happens-before" ordering between threads and ensure visibility and atomicity of memory operations. The model is designed to enable both efficient multithreaded execution and correct synchronization in user code.
§¯§Ú§Ü§à§Ý§Ñ§Û §±§Ñ§á§Ú§â§ß§í§Û §´§Ö§Þ§Ñ: "Java memory model §Õ§Ý§ñ §á§â§à§ã§ä§í§ç §ã§Þ§Ö§â§ä§ß§í§ç"Ciklum Minsk
?
This document provides an overview of the Java Memory Model (JMM). It begins by explaining why developers should learn about the JMM and covers key concepts like program order, sequential consistency, synchronization actions, synchronization order, happens-before relationships, and double checked locking. The document uses examples and diagrams to illustrate these concepts and how the JMM handles issues like visibility and atomicity in multithreaded programs. It aims to explain the essential aspects of the JMM in an accessible way for developers.
Java Memory Consistency Model - concepts and contextTomek Borek
?
Java Memory Consistency Model is a difficult topic.
It's useful in making sure that multi-threaded programs on multi-threaded cores will interact with each other (and through memory) in a consistent manner.
It's specification is damn hard (even according to folks with lots of concurrent experience, like Doug Lea) to read, understand and routinely follow without error.
This presentation talks about some fallacies surrounding memory model, explains it, offers definitions and reasons for it's existence. It ain't deep, it's more entry level stuff.
This slide will explain about building blocks of JVM optimization for you java based application.
It explains basics of heap concepts and different type of java garbage collectors.
This presentation is primarily based on Oracle's "Java SE 6 HotSpot? Virtual Machine Garbage Collection Tuning" document.
This introduces how Java manages memory using generations, available garbage collectors and how to tune them to achieve desired performance.
This document discusses the Java Memory Model (JMM) and how it describes how threads interact through memory in Java. It covers key aspects of the JMM including happens-before ordering, memory barriers, visibility rules, and how final fields and atomic instructions interact with the memory model. It also discusses performance considerations and how different processor architectures implement memory ordering.
The Java Memory Model defines rules for how threads interact through shared memory in Java. It specifies rules for atomicity, ordering, and visibility of memory operations. The JMM provides guarantees for code safety while allowing compiler optimizations. It defines a happens-before ordering of instructions. The ordering rules and visibility rules ensure threads see updates from other threads as expected. The JMM implementation inserts memory barriers as needed to maintain the rules on different hardware platforms.
Nowadays people usually talk more about big data, internet of things, and other buzzwords on various conferences. However, sometimes developers tend to not pay enough attention to the core things such as garbage collection. After having a short discussion with many somewhat experienced Java developers I came to a conclusion that most of them do not know how many garbage collectors there are in the latest JVM, and under what circumstances each of them should be enabled. This presentation is aimed to improve or refresh people¡¯s knowledge on this core topic, and share a real use case when it helped us to resolve production issue.
At first glance, writing concurrent programs in Java seems like a straight-forward task. But the devil is in the detail. Fortunately, these details are strictly regulated by the Java memory model which, roughly speaking, decides what values a program can observe for a field at any given time. Without respecting the memory model, a Java program might behave erratic and yield bugs that only occure on some hardware platforms. This presentation summarizes the guarantees that are given by Java's memory model and teaches how to properly use volatile and final fields or synchronized code blocks. Instead of discussing the model in terms of memory model formalisms, this presentation builds on easy-to follow Java code examples.
GC Tuning in the HotSpot Java VM - a FISL 10 PresentationLudovic Poitou
?
This document provides a summary of a presentation on garbage collection tuning in the Java HotSpot Virtual Machine. It introduces the presenters and their backgrounds in GC and Java performance. The main points covered are that GC tuning is an art that requires experience, and tuning advice is provided for the young generation, Parallel GC, and Concurrent Mark Sweep GC. Monitoring GC performance and avoiding fragmentation are also discussed.
The document discusses Java garbage collection. It begins with an introduction to garbage collection, explaining that it is used to release unused memory and each JVM can implement its own garbage collection algorithms. It then covers the main garbage collection algorithms of reference counting, mark and sweep, and stop and copy. It also discusses finalize() methods, reference types in Java including strong, soft, weak and phantom references, and tips for improving garbage collection performance in Java programs.
The document discusses the new unified logging system in Java 9 for garbage collection (GC) logs. It introduces the -Xlog:gc option that provides a common interface for GC logging and deprecates old GC logging flags. Examples are provided showing GC logs from both the old and new logging approaches. The key points covered are the unified logging framework in Java 9, how it applies specifically to GC logging, and migrating existing GC logging configurations to use the new -Xlog:gc option.
This document discusses garbage collection in Java. It begins by explaining the motivation for garbage collection in Java, such as avoiding memory leaks and heap corruption. It then covers the goals of garbage collectors, including minimizing memory overhead, maximizing application throughput while keeping pause times low. Different types of garbage collectors are described, such as serial, parallel, CMS, and G1 collectors. Key concepts like generations, GC roots, and safe points are also summarized.
Introduction of Java GC Tuning and Java Java Mission ControlLeon Chen
?
This document provides an introduction and overview of Java garbage collection (GC) tuning and the Java Mission Control tool. It begins with information about the speaker, Leon Chen, including his background and patents. It then outlines the Java and JVM roadmap and upcoming features. The bulk of the document discusses GC tuning concepts like heap sizing, generation sizing, footprint vs throughput vs latency. It provides examples and recommendations for GC logging, analysis tools like GCViewer and JWorks GC Web. The document is intended to outline Oracle's product direction and future plans for Java GC tuning and tools.
In Java 9, Garbage First Garbage Collector (G1 GC) will be the default GC. This presentation makes an effort to help Hotspot VM users to understand the concept of G1 GC as well as provides some tuning advice.
The document discusses Java garbage collection. It describes that Java objects are eligible for garbage collection when no longer reachable. Garbage collection has two stages - finalization and reclamation. There are four garbage collection algorithms in Java 5 and 6, but one will be removed, leaving three algorithms: serial, throughput, and concurrent low pause. The document provides details on how these three algorithms perform garbage collection.
The Generational Garbage collection involves organizing the heap into different divisions of memory space
in-order to filter long-lived objects from short-lived objects through moving the surviving object of each
generation¡¯s GC cycle to another memory space, updating its age and reclaiming space from the dead
ones. The problem in this method is that, the longer an object is alive during its initial generations, the
longer the garbage collector will have to deal with it by checking for its reachability from the root and
promoting it to other space divisions, where as the ultimate goal of the GC is to reclaim memory from
unreachable objects at a minimal time possible. This paper is a proposal of a method where the lifetime of
every object getting into the heap will be predicted and will be placed in heap accordingly for the garbage
collector to deal more with reclaiming space from dead object and less in promoting the live ones to the
higher level.
A Novel Design of a Parallel Machine Learnt Generational Garbage Collector cseij
?
The Generational Garbage collection involves organizing the heap into different divisions of memory space
in-order to filter long-lived objects from short-lived objects through moving the surviving object of each
generation¡¯s GC cycle to another memory space, updating its age and reclaiming space from the dead
ones. The problem in this method is that, the longer an object is alive during its initial generations, the
longer the garbage collector will have to deal with it by checking for its reachability from the root and
promoting it to other space divisions, where as the ultimate goal of the GC is to reclaim memory from
unreachable objects at a minimal time possible. This paper is a proposal of a method where the lifetime of
every object getting into the heap will be predicted and will be placed in heap accordingly for the garbage
collector to deal more with reclaiming space from dead object and less in promoting the live ones to the
higher level.
The Java memory model and the Garbage Collector can drive you into serious problems if you don't know how it runs, defrags, and remove objects - this presentation is not updated for Java 8.
The document summarizes how garbage collection works in Java. It describes the marking phase where referenced and unreferenced objects are identified. Unreferenced objects are then deleted in the normal deletion step. For better performance, referenced objects can also be compacted together. The document further explains generational garbage collection, where new objects are allocated to the young generation and aged objects are promoted to the old generation. Minor and major garbage collections handle each generation. Different garbage collectors, like serial, parallel, CMS and G1, are also summarized regarding their implementation and suitability for different applications.
Garbage collection v Jav¨§, JVM generace a typy GC aneb zp?sob automatick¨¦ spr¨¢vy pam¨§ti. Funguje tak, ?e speci¨¢ln¨ª algoritmus (garbage collector) vyhled¨¢v¨¢ a uvol¨¾uje ¨²seky pam¨§ti, kter¨¦ ji? program nebo proces nepou?¨ªv¨¢. ?et?¨ª tak v¨¢? ?as p?i v?voji.
This session is all about - the mechanism provided by Java Virtual Machine to reclaim heap space from objects which are eligible for Garbage collection.
The document discusses memory management and garbage collection in the Hotspot Java Virtual Machine. It describes different garbage collection algorithms like mark-sweep, copying, and generational collection. It explains the different garbage collectors in Hotspot JVM like serial, parallel, parallel compacting, and concurrent mark sweep collectors. It also discusses some key garbage collection terminology and metrics.
Java manages memory automatically through garbage collection. Objects are stored in heap memory and are eligible for garbage collection when no references to the object exist. The garbage collector runs periodically in its own thread to identify dereferenced objects and free up memory. Programmers cannot force garbage collection but can request it. OutOfMemoryErrors occur when there is insufficient memory for new objects.
1. Using finalizers in .NET is generally not recommended due to various issues and downsides they introduce.
2. Finalizers are not guaranteed to run deterministically and can cause objects to remain in memory longer than needed, hurting performance.
3. They run on a separate thread, so new object creation may outpace finalizer execution, risking out of memory errors over time. Any exceptions in a finalizer will crash the application.
JVM memory metrics and rules for detecting possible OOM caused crashAtharva Bhingarkar
?
The document describes memory usage pattern in JVM at OOM, and identifies rules for an early detection system which can alert about impending OOM error, and hence a crash.
JVM memory metrics and rules for detecting likely OOM caused crashAjit Bhingarkar
?
The document discusses memory leaks in Java applications that can lead to out of memory (OOM) crashes. It describes how objects are allocated in the Java heap and collected by the garbage collector. A pattern of frequent full garbage collections with few minor collections indicates a memory leak as old generation memory fills up from lingering objects. The document proposes an algorithm to monitor memory usage, track tenured memory and garbage collection logs over time to detect this pattern and raise alarms before an OOM crash occurs.
The document discusses Java garbage collection and GC-friendly coding practices. It covers key GC concepts like generational collection, card marking, and write barriers. It describes the different GC algorithms like generational, G1, and parallel collection. It provides examples of GC-friendly techniques like avoiding large or complex objects, using object pooling, and properly using reference types. The goal is to minimize object retention and graph complexity to reduce GC pause times.
The document discusses Java garbage collection. It explains that Java's garbage collector automatically manages memory by freeing unreferenced objects. The garbage collector runs when memory is low to find and delete objects that cannot be reached. While garbage collection provides convenience, it has overhead as the system must pause current execution to run it which can influence user experience. The document also describes how objects are identified as garbage using tracing and reference counting collectors as well as how to explicitly make objects available for collection and finalize objects before deletion.
Elevate your online presence with Malachite Technologies where creativity meets technology. Our web design experts craft visually stunning and interactive websites that not only capture your brand¡¯s essence but also enhance user engagement.
Building High-Impact Teams Beyond the Product Triad.pdfRafael Burity
?
The product triad is broken.
Not because of flawed frameworks, but because it rarely works as it should in practice.
When it becomes a battle of roles, it collapses.
It only works with clarity, maturity, and shared responsibility.
Columbia Weather Systems offers professional weather stations in basically three configurations for industry and government agencies worldwide: Fixed-Base or Fixed-Mount Weather Stations, Portable Weather Stations, and Vehicle-Mounted Weather Stations.
Models include all-in-one sensor configurations as well as modular environmental monitoring systems. Real-time displays include hardware console, WeatherMaster? Software, and a Weather MicroServer? with industrial protocols, web and app monitoring options.
Innovative Weather Monitoring: Trusted by industry and government agencies worldwide. Professional, easy-to-use monitoring options. Customized sensor configurations. One-year warranty with personal technical support. Proven reliability, innovation, and brand recognition for over 45 years.
Migrating to the Isolated worker process in Azure Functions .pptxCallon Campbell
?
"Migrating to the Isolated worker process in Azure Functions" provides an overview of serverless computing and different hosting models, with a focus on migrating to the isolated worker process in Azure Functions. The presentation covers the benefits of the isolated worker process, including fewer conflicts, full control of the process, and dependency injection. It also includes demos and practical steps for migrating existing .NET applications to the isolated worker process. The presentation aims to help developers modernize their applications and prepare for future versions of .NET.
En esta charla compartiremos la experiencia del equipo de Bitnami en la mejora de la seguridad de nuestros Helm Charts y Contenedores utilizando Kubescape como herramienta principal de validaci¨®n. Exploraremos el proceso completo, desde la identificaci¨®n de necesidades hasta la implementaci¨®n de validaciones automatizadas, incluyendo la creaci¨®n de herramientas para la comunidad.
Compartiremos nuestra experiencia en la implementaci¨®n de mejoras de seguridad en Charts y Contenedores, bas¨¢ndonos en las mejores pr¨¢cticas del mercado y utilizando Kubescape como herramienta de validaci¨®n. Explicaremos c¨®mo automatizamos estas validaciones integr¨¢ndolas en nuestro ciclo de vida de desarrollo, mejorando significativamente la seguridad de nuestros productos mientras manten¨ªamos la eficiencia operativa.
Durante la charla, los asistentes aprender¨¢n c¨®mo implementar m¨¢s de 60 validaciones de seguridad cr¨ªticas, incluyendo la configuraci¨®n segura de contenedores en modo no privilegiado, la aplicaci¨®n de buenas pr¨¢cticas en recursos de Kubernetes, y c¨®mo garantizar la compatibilidad con plataformas como OpenShift. Adem¨¢s, demostraremos una herramienta de self-assessment que desarrollamos para que cualquier usuario pueda evaluar y mejorar la seguridad de sus propios Charts bas¨¢ndose en esta experiencia.
SAP Automation with UiPath: Solution Accelerators and Best Practices - Part 6...DianaGray10
?
Join us for a comprehensive webinar on SAP Solution Accelerators and best practices for implementing them using UiPath. This session is designed to help SAP professionals and automation enthusiasts understand how to effectively leverage UiPath¡¯s SAP Solution Accelerators to automate standard SAP process quickly. Learn about the benefits, best ways to do it, and real-world success stories to speed up.
Mastering Azure Durable Functions - Building Resilient and Scalable WorkflowsCallon Campbell
?
The presentation aims to provide a comprehensive understanding of how Azure Durable Functions can be used to build resilient and scalable workflows in serverless applications. It includes detailed explanations, application patterns, components, and constraints of Durable Functions, along with performance benchmarks and new storage providers.
Agentic AI is the future ¡ª but building intelligent systems where AI agents collaborate effectively? That¡¯s where CrewAI steps in.
In this presentation, we introduce CrewAI, an open-source framework that brings role-based architecture and real-time communication to AI agents. From equity research bots to agentic DevOps pipelines, discover how CrewAI enables coordinated, goal-driven execution across multiple agents.
Learn about CrewAI¡¯s building blocks, its unique features like Agent-to-Agent Protocols (A2AP), and how Yodaplus is leveraging it in real-world BFSI and supply chain solutions using GenAI tools like GenRPT and DataClip.
Whether you¡¯re exploring agent ecosystems or hands-on implementation, this deck is your quick guide to the emerging world of Agentic AI frameworks.
Benefits of Moving Ellucian Banner to Oracle CloudAstuteBusiness
?
Discover the advantages of migrating Ellucian Banner to Oracle Cloud Infrastructure, including scalability, security, and cost efficiency for educational institutions.
New from BookNet Canada for 2025: BNC SalesData and BNC LibraryDataBookNet Canada
?
Lily Dwyer updates us on what 2024 brought for SalesData and LibraryData. Learn about new features, such as the Age Range data and Page Count data filters, improvements to our internal Admin tool, and what¡¯s in store for 2025.
Link to video and transcript: https://bnctechforum.ca/sessions/new-from-booknet-canada-for-2025-bnc-salesdata-and-bnc-librarydata/
Read more:
- https://www.booknetcanada.ca/salesdata
- https://booknetcanada.atlassian.net/wiki/spaces/UserDocs/pages/53707258/SalesData+Help+Manual
Presented by BookNet Canada on April 8, 2025 with support from the Department of Canadian Heritage.
AI in Talent Acquisition: Boosting HiringBeyond Chiefs
?
AI is transforming talent acquisition by streamlining recruitment processes, enhancing decision-making, and delivering personalized candidate experiences. By automating repetitive tasks such as resume screening and interview scheduling, AI significantly reduces hiring costs and improves efficiency, allowing HR teams to focus on strategic initiatives. Additionally, AI-driven analytics help recruiters identify top talent more accurately, leading to better hiring decisions. However, despite these advantages, organizations must address challenges such as AI bias, integration complexities, and resistance to adoption to fully realize its potential. Embracing AI in recruitment can provide a competitive edge, but success depends on aligning technology with business goals and ensuring ethical, unbiased implementation.
AuthZEN The OpenID Connect of Authorization - Gartner IAM EMEA 2025David Brossard
?
Today, the authorization world is fractured - each vendor supports its own APIs & protocols. But this is about to change: OpenID AuthZEN was created in late 2023 to establish much-needed modern authorization standards. As of late 2024, AuthZEN has a stable Implementers Draft, and is expected to reach Final Specification in 2025.
With AuthZEN, IAM teams can confidently externalize and standardize authorization across their application estate without being locked in to a proprietary API.
This session will describe the state of modern authorization, review the AuthZEN API, and demo our 15 interoperable implementations.
Struggling to get real value from HubSpot Sales Hub? Learn 5 mighty methods to close more deals without more leads or headcount (even on Starter subscriptions)!
These slides accompanied a webinar run by Hampshire's HubSpot User Group (HUG) on 2nd April, 2025.
HubSpot subscribers can watch the recording here: https://events.hubspot.com/events/details/hubspot-hampshire-presents-5-ways-to-close-more-deals-from-your-existing-sales-pipeline/
ABOUT THE EVENT:
Unlock hidden revenue in your CRM with our practical HubSpot tactics
Are you struggling to get real value from your HubSpot Sales Hub?
If your HubSpot feels like more of an admin burden than a revenue enabler, you¡¯re not alone. Many sales leaders find that their team isn't updating records consistently, pipeline visibility is poor, and reporting doesn¡¯t deliver the insights they need to drive strategy.
The good news? You don¡¯t need to upgrade your HubSpot subscription to sort these issues.
Join us for this webinar to learn 5 mighty tactics that will help you streamline your sales process, improve pipeline visibility, and extract more revenue from your existing pipeline, without spending more on marketing or hiring extra sales reps.
What You¡¯ll Learn
? Customising Records ¨C Increase sales momentum with more useful CRM data for your salespeople
? Pipeline Rules ¨C Improve deal stage consistency and data accuracy for improved prioritisation and forecasting
? Team Permissions & Defaults ¨C Control access and streamline processes. Spend more time selling, less on admin
? Pipeline View Customisation ¨C Get clearer sales insights, faster, to deal with revenue leaks
? Simple Sales Reports ¨C Build actionable dashboards to drive strategy with data
? Bonus: Successful Sales Hub users will share their experiences and the revenue impact it has delivered for them.
Who is this webinar for?
Sales leaders using HubSpot Sales Hub Starter, or those new to HubSpot
Sales managers who need better CRM adoption from their team
Anyone struggling with pipeline visibility, reporting, or forecasting
Teams who want to close more deals without extra sales headcount
2. Java GC Java objects are eligible for garbage collection (GC), which frees their memory and possibly associated resources, when they are no longer reachable Two stages of GC for an object finalization - runs finalize method on the object reclamation - reclaims memory used by the object
3. GC Process Basic steps object is determined to be unreachable if object has a finalize method object is added to a finalization queue at some point it¡¯s finalize method is invoked so the object can free associated resources object memory is reclaimed Issues with finalize methods makes every GC pass do more work if a finalize method runs for a long time, it can delay execution of finalize methods of other objects may create new strong references to objects that had none,preventing their GC run in a nondeterministic order no guarantee they will be called; app. may exit first
4. Generational GC All of the GC algorithms used by Java are variations on the concept of generational GC ? Generational GC assumes that the most recently created objects are the ones that are most likely to become unreachable soon for example, objects created in a method and only referenced by local variables that go out of scope when the method exits the longer an object remains reachable,the less likely it is to be eligible for GC soon (or ever) Objects are divided into ¡°generations¡± or ¡°spaces¡± Java categories these with the names ¡° young¡±, ¡°tenured¡± and ¡°perm¡± objects can move from one space to another during a GC
5. Object Spaces Hold objects of similar ages or generations ¡° young¡± spaces hold recently created objects and can be GC¡¯ed in a ¡°minor¡± or ¡°major¡± collection ¡° tenured¡± space hold objects that have survived some number of minor collections and can be GC¡¯ed only in a major collection ¡° perm¡± space hold objects needed by the JVM, such as Class & Method objects, their byte code, and interned Strings GC of this space results in classes being ¡°unloaded¡± Size of each space determined by current heap size(which can change during runtime) and several tuning options
6. Young Spaces Eden space holds objects created after the last GC,except those that belong in the perm space during a minor collection, these objects are either GC¡¯ed or moved to a survivor space Survivor spaces these spaces hold young objects that have survived at least one GC during a minor collection, these objects are either GC¡¯ed or moved to the other survivor space Minor collections tend to be fast compared to major collections because only a subset of the objects need to be examined typically occur much more frequently than major collections
7. When Does GC Occurs? Impacted by heap size ¡° If a heap size is small, collection will be fast but the heap will fill up more quickly,thus requiring more frequent collections.¡± ¡° Conversely, a large heap will take longer to fill up and thus collections will be less frequent,but they take longer.¡± Minor collections occur when a young space approaches being full Major collections occur when the tenured space approaches being full