This document discusses memory management techniques in Sun JDK 1.6. It begins by describing common OS memory allocation and garbage collection algorithms like reference counting, mark-sweep, and copying collection. It then details how Sun JDK implements generation scavenging GC using parallel and concurrent algorithms. Optimization techniques for young and full GCs like type inference, card tables, and partial compaction are also examined. Finally, the document briefly outlines some JRockit GC optimizations including pinned objects, two-color marking, and adaptive generation sizing.
This presentation was given to the system adminstration team to give them an idea of how GC works and what to look for when there is abottleneck and troubles.
Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...Monica Beckwith
Learn what you need to know to experience nirvana in the evaluation of G1 GC even if your are migrating from Parallel GC to G1, or CMS GC to G1 GC
You also get a walk through of some case study data
G1 GC
G1 Garbage Collector - Big Heaps and Low Pauses?C2B2 Consulting
Devoxx 2012 talk by Jaromir Hamala, C2B2 Senior Consultant.
The Garbage-First (G1) is the latest garbage collector in the JVM, aiming to be the long-term replacement for CMS. Targeted for machines with large memories and multiple processors. Promising low and more predictable pause times while achieving high throughput.
The session will introduce the architecture and design of G1. Then the main focus of the talk will be the performance characteristics observed under different loads; tuning capabilities and common pitfalls. With the aim of answering the question can you run big heaps and achieve low pauses.
This presentation was given to the system adminstration team to give them an idea of how GC works and what to look for when there is abottleneck and troubles.
Garbage First Garbage Collector (G1 GC) - Migration to, Expectations and Adva...Monica Beckwith
Learn what you need to know to experience nirvana in the evaluation of G1 GC even if your are migrating from Parallel GC to G1, or CMS GC to G1 GC
You also get a walk through of some case study data
G1 GC
G1 Garbage Collector - Big Heaps and Low Pauses?C2B2 Consulting
Devoxx 2012 talk by Jaromir Hamala, C2B2 Senior Consultant.
The Garbage-First (G1) is the latest garbage collector in the JVM, aiming to be the long-term replacement for CMS. Targeted for machines with large memories and multiple processors. Promising low and more predictable pause times while achieving high throughput.
The session will introduce the architecture and design of G1. Then the main focus of the talk will be the performance characteristics observed under different loads; tuning capabilities and common pitfalls. With the aim of answering the question can you run big heaps and achieve low pauses.
In JDK 11/12 there have appeared two very efficient GC collectors: ZGC and ShenandoahGC. The main reason why they have appeared is a short GC pause, no matter how the root set size is and so as to the developer nothing has to tune. I'll show you previous options and compare them mostly with G1 GC, which is the default GC collector since JDK9.
Slides of my talk at QCon Hangzhou 2011, on the things that my team has been doing on the JVM, esp. on customization. Video available at http://www.infoq.com/cn/presentations/ms-jvm-taobao
A presentation on how automatic memory management and adaptive compilation impact on latency of applications. Includes some ideas on how to minimise these affects.
It is easy to monitor the performance of JVM if one knows how GC and Threads work in JVM. This presentation throws light on Collector types, HotSpot Collection Algorithms, Thread Monitoring, Method Profiling and Heap Profiling
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.
How to monitor Java application and JVM performance with Flight Recorder and Mission Control. Starts with a discussion of general JVM performance considerations like GC, JIT and threads.
Are your application's tail-latencies holding it back from delivering its near-real time SLOs? Do your in-memory processing platform's long pauses only get worse with increasing heap sizes? How about those latency spikes causing variability in your end-to-end latency for your multi-tiered distributed systems?
If any of the above keep you up at night, then have no fear as Z Garbage Collector (GC) is here and is production ready in JDK 15.
In this talk, Monica Beckwith will cover the basics of Z GC and contrast it with G1 GC (the current default collector for OpenJDK JDK 11 LTS and tip).
In JDK 11/12 there have appeared two very efficient GC collectors: ZGC and ShenandoahGC. The main reason why they have appeared is a short GC pause, no matter how the root set size is and so as to the developer nothing has to tune. I'll show you previous options and compare them mostly with G1 GC, which is the default GC collector since JDK9.
Slides of my talk at QCon Hangzhou 2011, on the things that my team has been doing on the JVM, esp. on customization. Video available at http://www.infoq.com/cn/presentations/ms-jvm-taobao
A presentation on how automatic memory management and adaptive compilation impact on latency of applications. Includes some ideas on how to minimise these affects.
It is easy to monitor the performance of JVM if one knows how GC and Threads work in JVM. This presentation throws light on Collector types, HotSpot Collection Algorithms, Thread Monitoring, Method Profiling and Heap Profiling
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.
How to monitor Java application and JVM performance with Flight Recorder and Mission Control. Starts with a discussion of general JVM performance considerations like GC, JIT and threads.
Are your application's tail-latencies holding it back from delivering its near-real time SLOs? Do your in-memory processing platform's long pauses only get worse with increasing heap sizes? How about those latency spikes causing variability in your end-to-end latency for your multi-tiered distributed systems?
If any of the above keep you up at night, then have no fear as Z Garbage Collector (GC) is here and is production ready in JDK 15.
In this talk, Monica Beckwith will cover the basics of Z GC and contrast it with G1 GC (the current default collector for OpenJDK JDK 11 LTS and tip).
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
32. GC Algorithm Details
• Tracing – Copying(a special case)
图片来源于JavaOne 2010 《The Garbage Collection Mythbusters》 Session by tony,john
33. GC Algorithm Details
• Tracing – Copying(a special case)
图片来源于JavaOne 2010 《The Garbage Collection Mythbusters》 Session by tony,john
34. GC Algorithm Details
• Tracing – Copying(a special case)
图片来源于JavaOne 2010 《The Garbage Collection Mythbusters》 Session by tony,john
35. GC Algorithm Details
• Tracing – Copying(a special case)
图片来源于JavaOne 2010 《The Garbage Collection Mythbusters》 Session by tony,john
36. GC Algorithm Details
• Tracing – Copying(a special case)
图片来源于JavaOne 2010 《The Garbage Collection Mythbusters》 Session by tony,john
37. GC Algorithm Details
• Tracing – Copying(a special case)
图片来源于JavaOne 2010 《The Garbage Collection Mythbusters》 Session by tony,john
38. GC Algorithm Details
• Tracing – Copying(a special case)
– only need scan live objects,so gc speed only
decided by lds
– no fragmentation
– need update object pointer
– need keep an empty memory area
39. GC Algorithm Summary
• Why gc need stop the world?
– Mark-Sweep,Mark-Compact
• if ref changes or new object created when marking;
• compact need update pointer,so...
– Copying
• copying need update pointer,so...
41. GC in Hotspot
• rootset
– runtime stack
– static or global variables
– jni handles
– jvm handles
42. GC in Hotspot
• Generational GC
– most objects are temp-lived
• so JDK decide split heap into two generations to use gc
algorithm properly
Copying Mark-Sweep or Mark-Compact
New Old
43. GC in Hotspot
• how to stop the world
– safepoint at ref change
• safepoint is a memory page check
• compile
– when gc need execute,it submit “stop thread”
request to jvm core,then jvm core set the memory
page not readable
– when code execute to safepoint, check the
memory page if readable,if not then fail and stop
44. GC in Hotspot
• YGC
– allocate is slow,because need lock
– how to make allocate faster?
TLAB Use CAS replace lock
• do u have any other ideas?
45. GC in Hotspot
• YGC
– how to find live objects faster?
Live Maps Scan Algorithm
• do u have any other ideas?
46. GC in Hotspot
• YGC
– how to handle object in old gen ref new gen
object
Write Barrier & Card table
• do u have any other ideas?
47. GC in Hotspot
• YGC
– how to make scan and copying faster?
Parallel
Adaptive based on runtime feedback
• do u have any other ideas?
48. GC in Hotspot
• FGC
– optimize for throughput
• parallel
– optimize for low latency
• concurrent
49. GC in Hotspot
• FGC – parallel
– based on Mark-Compact
– allocate use the bump pointer
50. GC in Hotspot
• FGC – parallel
– how to make mark phase faster?
Parallel
• do u have any other ideas?
51. GC in Hotspot
• FGC – parallel
– how to make compact phase faster?
Partial Compact when use ParallelOldGC
• do u have any other ideas?
52. GC in Hotspot
• FGC – concurrent
– based on mark-sweep
– when concurrent gc executes,ref may be changed
and new objects may be created,how to solve the
question?
53. GC in Hotspot
• FGC – concurrent
– when concurrent gc executes,ref may be changed
and new objects may be created,how to solve the
question?
Write Barrier & Card Table
54. GC in Hotspot
• FGC – concurrent
– how to mark remark phase faster?
add a preclean phase
• do u have any other ideas?
55. Futhermore – G1
• Region-based GC
• how to behave better?
garbage first
hot regions
57. Futhermore – Open eyes
• JRockit GC
– YGC
• pinned object for semi-long lived object
• keep area
– Mark
• Two-Color for prefetching
– Compaction
• partial,for example some objects not be compacted because
many objects ref them.
– Adjust gens,size adaptive based on runtime feedback