Monitoring and Managing Java Applications

Jul 9, 2012Download as pptx, pdf0 likes1,981 views

This document discusses managing performance for Java applications. It defines key performance metrics like response time, throughput, and availability. It describes different types of measurements that can be taken, such as cyclic and event-based measurements. It also discusses challenges in measuring performance across different systems and tools. Finally, it outlines common operations tasks for monitoring performance, detecting issues, and diagnosing problems.

Managing Java Applications
@AloisReitbauer

Monitoring and Managing Java Applications

Build software that
somebody else can
run

What is performance
and how do we
measure it?

How we define Performance
• Response Time
The time it takes for an application to respond to a user request.
• Throughput
The amount of concurrently processed request in a given time period.
e.g.: requests/minute.
• Availability
Status of our systems. Are they up and running for us and our users?
• Accuracy
Is the response what the user actually expected? Are there any errors

Performance Pyramid

Business

Application

Container

System Performance

Types of Measurement
• Cyclic Measurements
– Are collected ar regular time intervals
– Are time based
– JMX, CPU, Memory

• Event-based measurements
– Are collected as a request occurs
– Are transactional
– Response Times, CPU consumption

How can this happen?

A: Our response time is 2.3 seconds
B: Our response time is 1.5 seconds
C: Our response time is 6 seconds

Measurement Aggregation
• Minimum and Maximum
The best and the worst request. Beware of outliers.
• Average
Sum/Count. Uses in many cases. Quality depends on actual values.
• Median
What 50 percent of our users see.
• Percentile
What n percent of our users see.

Use percentiles for
event-based
measures

Agree on Measurement Approach

Page Load Time HTTP Request Time 95 % Servlet Time

Network
Browser Firewall Sniffer Web Server Application
Server
Request Time (max)

How do we manage
performance and
solve problems?

Types of Problems
• Data-Driven Problems
Problems which occur for specific users, scenarios and which
depend on (input) parameters e.g.: a search query

• Load Driven Problems
Problems which depend on the current system load. Usually
occur at higher load. In most cases resource dependent. e.g.:
increased response time with more users.

• Environment Driven Problems
Problems caused by factors outside the application. e.g.:
hardware, network connectivity, etc.

Operations Main Tasks
• Monitoring
Collect all relevant KPIs and check against SLAs and
baselines?
• Alerting/Incident Management
Inform ops about problems
• Impact Analysis
Analyze the impact of issues. Who is affected?
• Isolation
What is the cause of a problem and who must I talk to?
• Diagnosis
Why is there a problem and how can we fix it?

Key Performance Indicators/Metrics
• Visitors and Requests
How many people are using our site?
• Response Times
How fast do we service requests.?
• Errors and Failed Transactions
How many problems do we see and how often do they affect
functionality?
• Availability
Can our systems currently be reached?
• Utilization Metrics
Do we have enough resources and are we using them
efficiently?

Alois Reitbauer
@AloisReitbauer

http://book.dynatrace.com
http://blog.dynatrace.com

41
© 2011 Compuware Corporation — All Rights Reserved

The document discusses a case study of a document management system (DMS) used in the Turkish defense industry. It notes that software quality assurance is important to prevent defects that could have financial or safety impacts, especially in critical domains like defense. The DMS discussed manages digital documents from creation to disposal. Initial findings found that a lack of software quality management in the DMS's development led to bugs like non-transparent watermarks obscuring map coordinates, compromising military operations. Establishing proper software quality management practices could help reduce bugs, ensure security and authorization, decrease delivery times, and improve the system's quality for defense users.

CompWALK ASQ PresentationChad Baker

The document discusses the problems with typical audit processes, which are heavily manual and paper-based, resulting in lag times and difficulties making timely decisions. It introduces CompWalk as a mobile/web audit and inspection software that can help conduct audits faster and more accurately by allowing for real-time data submission and automated reporting. Key benefits of CompWalk include being able to conduct audits and issue reports in a fraction of the typical time through its mobile and web-based applications.

ECMDAY2015 - Kaido Jarvemets - Managing Configuration Manager with PowerShellKenny Buntinx

This document discusses how PowerShell can be used to automate and streamline many common tasks in Configuration Manager such as creating boundaries, collections, deploying applications, and managing software updates. It provides examples of how much time can be saved for tasks such as creating 200 boundaries (40 minutes saved), collections with membership rules (20 minutes saved), and deploying secondary site servers (60 minutes saved per server). The key benefits outlined are that it is easy to automate daily CM tasks with just a few lines of PowerShell code and that this can save thousands of minutes over manual methods.

Digital Product SecuritySoftServe

This document provides an overview of digital product security. It discusses common cyberattacks against businesses, security issues in product development processes, and tips for developing software with security by design. It emphasizes starting with secure requirements, using static analysis, dynamic testing, and manual reviews. Following secure SDLC practices and continuous integration of security tools can help improve security, reduce costs, and better satisfy security audits.

Inteligence Search Systembkearns111

This document outlines an intelligence filter that uses a cloud database to streamline the resume review and candidate selection process. The filter reduces time spent searching resumes, attrition impact, and costs through increased consultant effectiveness. It provides a platform for integrating current and future technologies like video applications and allows automated resume sharing with clients.

Measuring User ExperienceAlois Reitbauer

This document discusses measuring user experience by capturing performance metrics from web applications. It outlines challenges in measurement due to lack of standards and introduces W3C specifications for Navigation Timing, Resource Timing, and User Timing that expose timing data from browsers. Examples are given for measuring page load, resource download, and custom timing events. Open issues remain around sending performance data to servers, full browser support, and efficiently measuring bandwidth.

W3C Web Performance - A detailed overviewAlois Reitbauer

The document discusses web performance optimization techniques. It introduces tools in the Navigation Timing and Resource Timing APIs to measure page load times and resource loading speeds. It presents methods to instrument pages to measure parts of the loading process. The document also discusses upcoming web performance APIs like Beacon, Navigation Timing 2, and ways to prioritize visible resources. Polyfilling techniques are mentioned to bring these capabilities to older browsers. Real-world uses are discussed, like CDN monitoring and integrating performance data with analytics.

Measuring Performance in the BrowserAlois Reitbauer

The document discusses measuring end user performance in the browser, which is complex due to a lack of standardization. It proposes exposing detailed timing data that browsers already collect, such as resource download times and rendering times, in a non-intrusive way according to W3C specifications. This includes Navigation Timing, Resource Timing, User Timing, and the Performance Timeline. Open issues include how to send the performance data back to servers and implementing the necessary backend services. Exposing this level of browser performance data could be a game changer for monitoring, mobile optimization, and the web performance field overall.

Web Performance OptimzationAlois Reitbauer

The document discusses web performance optimization and provides an overview of why it is important. It notes that speed impacts search engine rankings and user interactions. Performance impacts revenue, as websites gain weight over time from additional files and third parties that slow things down. The document outlines factors that affect performance like roundtrip latency, browser limits, and the delivery chain. It recommends ways to measure performance using Google's guidelines of sites loading in under 2 seconds. Suggested best practices are compressing content, optimizing images, minifying files, caching content, and merging files to improve performance.

What it means to be fast in your industryAlois Reitbauer

What it means to deliver exceptional performanceAlois Reitbauer

This document discusses what it means to deliver exceptional website performance. It notes that websites should load within 2-4 seconds for a good user experience. However, many factors outside a developer's control can impact load times, including network speeds and server-side processing. To achieve exceptional performance, the document recommends benchmarking current site performance, optimizing for all users, and continuously monitoring real user experience over time.

Why you have less than a second to deliver exceptional performanceAlois Reitbauer

1) Users expect web pages and interactions to load within 1 second or less for exceptional performance. 2) When loading a web page, many factors beyond a developer's control contribute to delay, including bandwidth, latency, third party content, and client-side processing. 3) To achieve exceptional performance, continuous optimization of all aspects that impact load time is required, from server-side processing to real user monitoring and benchmarking.

Turn Your Organisation Into A Laboratory With Strategy DeploymentKarl Scotland

Psychology of Agile Scrum Meetup - 14 March 2016 For large enterprises, the ability to deliver early and often is necessary, but not sufficient. Without clear and transparent alignment to a strategy, the organisation might still end up being very busy, getting better at delivering more and more of the wrong thing, but not achieving any positive results. However, knowing what the right strategy should be can also be a challenge in today’s complex world. Strategy Deployment is the Lean approach to meeting this challenge. Organisations need to become laboratories, in which they are constantly running experiments, generating learning, and applying that learning to continually progress towards their True North.

Building the Future of Monitoring with Artificial IntelligenceIncedo

Incedo Inc is an artificial intelligence and technology firm that has experienced strong growth since its inception in 2011, growing from 1500 employees to over 671% in size. The company provides specialized product engineering and data analytics services with a focus on emerging technologies. Incedo has experience using machine learning and natural language processing for applications in various industries like monitoring industrial equipment, developing chatbots for customer service, and creating diagnostic services for connected vehicles.

Create a modern(ish) BAM portal in (roughly) one hour!BizTalk360

Can a monitoring tool pass the turing testAlois Reitbauer

The document discusses whether a monitoring tool could pass the Turing test, which tests a machine's ability to exhibit human-like intelligence through natural language conversations. It introduces the concept of ChatOps, which uses conversation-driven operations to provide proactive, knowledge-based and guided interactions that are more than just simple commands. It concludes that while a monitoring tool does not need full human-level intelligence, it aims to provide a system that is intelligent, helpful and informative through natural language interactions.

Monitoring without alertsAlois Reitbauer

The Dark Art of Production AlertingAlois Reitbauer

The document discusses how to build an effective incident detection system using statistics. It explains that a baseline is needed to determine what normal behavior looks like and how to define abnormal behavior that requires an alert. Key metrics like errors, response times, and percentiles are identified. The document provides examples of how to use statistical distributions like the binomial distribution to calculate the likelihood of an observed value and determine if it warrants an alert or is still within the expected range of normal behavior.

Monitoring large scale Docker production environmentsAlois Reitbauer

This document discusses the challenges of monitoring large scale Docker production environments. It notes that monitoring is critical for Docker in production according to 46% of respondents. When using microservices and Docker, environments can be 20 times larger, requiring techniques like network monitoring, machine-assisted problem resolution, and monitoring from the infrastructure to the application level. Effective monitoring also requires monitoring the orchestration layer, container dynamics, components like those from Netflix OSS, and the network. It should provide capabilities like visualizing the impact of automation, automated problem analysis, massive scalability, and acting as a platform feature through auto-injection and self-configuration.

The definition of normal - An introduction and guide to anomaly detection. Alois Reitbauer

Ruxit - How we launched a global monitoring platform on AWS in 80 days. Alois Reitbauer

Monitoring Docker Application in ProductionAlois Reitbauer

BizTalk Server ExtensibilityBizTalk360

Operational Excellence Introduction - Optimize your business operating system.John-Partners Consulting and Education JSC

Microservice, Micro Deployments and DevOpsAlois Reitbauer

Micro Services provide a means to build more flexible infrastructures that can maintained by large and distributed teams. Micro Deployments allow us to constantly evolve our applications step by step in small increments constantly. These paradigms helps us to achieve more agility. At the same time the force us to rethink how we run our DevOps processes. This talk covers the key requirements for DevOps follow the Site Reliability Engineering approach

iHT² Health IT Summit in Beverly Hills 2012 - Raymond Lowe Case Study “Dignit...Health IT Conference – iHT2

Case Study "Dignity Health: Implementation of an EHR Alliance Bridging Acute and Ambulatory Care" This session will provide a unique learning opportunity focusing on the Dignity Health $1.8B implementation program to meet horizon 2020 as we transform healthcare. The initiative encompassed a 42 hospital health IT implementation in the acute care setting. Mr. Lowe will also review the challenges associated with governance and review lessons Learned from the project. Learning Objectives: ∙ Key implementation points ∙ Integration with Ambulatory strategies for a full market approach ∙ What’s next – business intelligence

Introducing Oracle Real-Time Integration Business InsightLucas Jellema

SAP Operational Process Intelligence Powerd By HANATekfactors Inc

Business process monitoring is often associated with business process visibility, working with business activity monitoring to help managers gain insight into important transactions and processes within an enterprise. The theme for this release of SAP Operational Process Intelligence powered by SAP HANA has been to innovate further on top of process intelligence and enable more situational awareness for the process operators. To support this theme we have worked largely on two major functional areas namely: 1) Deeper process insights 2) Enhanced support for insight to action

The Dark of Building an Production Incident SysteAlois Reitbauer

The document discusses building an effective production incident system using statistics. It explains that using the median and percentiles to define a baseline range captures normal system behavior better than trying to fit a specific distribution model. Two examples are provided: 1) Using the binomial distribution to determine if an error rate exceeds expectations. 2) Using percentiles to check if response times have drifted above the median without knowing the underlying distribution. The key is applying statistical methods to objectively determine what constitutes a normal range of values versus a problem requiring alerting.

The High Performance Web Application LifecycleAlois Reitbauer

This document discusses high performance web application lifecycles. It covers trends in continuous integration, automated web performance testing, and continuous monitoring in production. Metrics like page load time, resource timing, and third party content load time are discussed. The document also covers browser APIs like Navigation Timing and Performance Timeline that provide performance metrics, and how these can be used to analyze performance across builds and detect common problems. Limitations include lack of support in older browsers and inability to provide insight into JavaScript.

More Related Content

Viewers also liked (20)

Web Performance OptimzationAlois Reitbauer

What it means to be fast in your industryAlois Reitbauer

What it means to deliver exceptional performanceAlois Reitbauer

Why you have less than a second to deliver exceptional performanceAlois Reitbauer

Turn Your Organisation Into A Laboratory With Strategy DeploymentKarl Scotland

Building the Future of Monitoring with Artificial IntelligenceIncedo

Create a modern(ish) BAM portal in (roughly) one hour!BizTalk360

Can a monitoring tool pass the turing testAlois Reitbauer

Monitoring without alertsAlois Reitbauer

The Dark Art of Production AlertingAlois Reitbauer

Monitoring large scale Docker production environmentsAlois Reitbauer

The definition of normal - An introduction and guide to anomaly detection. Alois Reitbauer

Ruxit - How we launched a global monitoring platform on AWS in 80 days. Alois Reitbauer

Monitoring Docker Application in ProductionAlois Reitbauer

BizTalk Server ExtensibilityBizTalk360

Operational Excellence Introduction - Optimize your business operating system.John-Partners Consulting and Education JSC

Microservice, Micro Deployments and DevOpsAlois Reitbauer

iHT² Health IT Summit in Beverly Hills 2012 - Raymond Lowe Case Study “Dignit...Health IT Conference – iHT2

Introducing Oracle Real-Time Integration Business InsightLucas Jellema

SAP Operational Process Intelligence Powerd By HANATekfactors Inc

Web Performance OptimzationAlois Reitbauer

What it means to be fast in your industryAlois Reitbauer

What it means to deliver exceptional performanceAlois Reitbauer

Why you have less than a second to deliver exceptional performanceAlois Reitbauer

Turn Your Organisation Into A Laboratory With Strategy DeploymentKarl Scotland

Building the Future of Monitoring with Artificial IntelligenceIncedo

Create a modern(ish) BAM portal in (roughly) one hour!BizTalk360

Can a monitoring tool pass the turing testAlois Reitbauer

Monitoring without alertsAlois Reitbauer

The Dark Art of Production AlertingAlois Reitbauer

Monitoring large scale Docker production environmentsAlois Reitbauer

The definition of normal - An introduction and guide to anomaly detection. Alois Reitbauer

Ruxit - How we launched a global monitoring platform on AWS in 80 days. Alois Reitbauer

Monitoring Docker Application in ProductionAlois Reitbauer

BizTalk Server ExtensibilityBizTalk360

Operational Excellence Introduction - Optimize your business operating system.John-Partners Consulting and Education JSC

Microservice, Micro Deployments and DevOpsAlois Reitbauer

iHT² Health IT Summit in Beverly Hills 2012 - Raymond Lowe Case Study “Dignit...Health IT Conference – iHT2

Introducing Oracle Real-Time Integration Business InsightLucas Jellema

SAP Operational Process Intelligence Powerd By HANATekfactors Inc

More from Alois Reitbauer (14)

The Dark of Building an Production Incident SysteAlois Reitbauer

The High Performance Web Application LifecycleAlois Reitbauer

Measuring User Experience in the BrowserAlois Reitbauer

The document discusses user experience management and outlines various web performance metrics that can be captured from browsers such as time-to-first-byte, onload time, bandwidth, rendering time, and resource download times. It describes the W3C Navigation Timing and Resource Timing APIs that browsers expose to capture this performance data non-intrusively. Examples are provided of how this data could be used for real-world applications like identifying geo hotspots, page error monitoring, and performance profiling.

Performance Forensics - Understanding Application PerformanceAlois Reitbauer

This document discusses performance forensics and optimization techniques. It emphasizes the importance of collecting multi-layered measurements from the user level down to the system level to understand performance problems. Common measurements include response time, memory usage, CPU usage, database queries and latency. Identifying the problem area and isolating it is key before applying optimizations like caching, reducing interactions and data locality. Tuning may be needed at the application, web or database layers. The goal is to make problems reproducible and ensure optimizations address the underlying issues rather than just symptoms.

Architecture PerformanceAlois Reitbauer

The document discusses the importance of performance in software architecture from the perspectives of both developers and architects. It notes that performance is a non-functional requirement that is difficult for developers and architects to align on due to different ways of thinking - developers focus on the code itself while architects have a higher-level view of systems and interactions. The document advocates that architects must look beyond guidelines to further communicate performance requirements and priorities to developers in order to iteratively improve agility and performance.

dynaTrace Ajax Edition @ YahooAlois Reitbauer

The secret art of agile performance testingAlois Reitbauer

Architecture in Ajax ApplicationsAlois Reitbauer

This document summarizes best practices for architecting and optimizing Ajax applications. It discusses how application architectures have evolved from traditional MVC to a more dynamic model with code running in both the server and browser. It provides guidance on improving performance through proper markup, understanding browser specifics, optimizing network usage, caching strategies, and reducing DOM manipulation. The document emphasizes that performance must be a primary consideration in Ajax application design.

Q Con Performance Testing At The EdgeAlois Reitbauer

This document discusses performance testing at the edge using dynaTrace. It describes challenges with traditional approaches like waterfalls and profiling, which don't provide ongoing monitoring and comparison over time. The dynaTrace approach uses a distributed architecture to monitor many platforms and configurations. It also discusses lessons learned around making testing continuous, avoiding re-runs, and focusing tests on specific metrics like response time and garbage collection to understand measurements better.

Low Hanging Fruits In J EE PerformanceAlois Reitbauer

This document discusses common performance pitfalls in Java EE applications and provides recommendations to optimize performance. It covers optimizing servlet threads, database connections, object-relational mapping, rendering, state handling, and latency. Specific recommendations include reducing remote communication overhead, tuning database access and caching, minimizing web and AJAX requests, leveraging client and server caching, reducing file sizes and compressing content, and optimizing memory management and garbage collection.

W-JAX Performance Workshop - Database PerformanceAlois Reitbauer

This document discusses several key considerations for optimizing database performance in Java enterprise applications. It covers topics like object-relational mapping, persistence frameworks, caching strategies, prepared statements, connection pooling, testing approaches, and common performance antipatterns. Live demos are also provided to illustrate concepts like caching and working with the JDBC layer.

W-JAX Performance Workshop - Web and AJAXAlois Reitbauer

W JAX Performance Workshop - Organisational AntipatternsAlois Reitbauer

This document discusses conceptual and organizational antipatterns related to Java enterprise performance. It describes several conceptual antipatterns including misunderstanding scalability, treating performance management as premature optimization, relying on guesswork instead of metrics, and treating frameworks as black boxes. Organizational antipatterns covered include ad-hoc performance management, lack of responsibility for performance, and only addressing performance issues reactively after problems occur. The document provides explanations of each antipattern and recommendations for addressing them such as defining performance processes, roles, and goals.

Jax Ajax ArchitectureAlois Reitbauer

This document discusses architectural considerations for AJAX applications. It covers key topics like browser anatomy, HTTP protocols, caching, state handling, and rendering. Browsers limit connections to 4 per domain by default, so domain sharding can help utilize more connections. Caching is important on both the client and server sides. State can be stored in HTTP sessions on the server, cookies on the client, or by keeping state on the rich client with AJAX. Rendering impacts performance, so minimizing reflows during asynchronous rendering is important.

The Dark of Building an Production Incident SysteAlois Reitbauer

The High Performance Web Application LifecycleAlois Reitbauer

Measuring User Experience in the BrowserAlois Reitbauer

Performance Forensics - Understanding Application PerformanceAlois Reitbauer

Architecture PerformanceAlois Reitbauer

dynaTrace Ajax Edition @ YahooAlois Reitbauer

The secret art of agile performance testingAlois Reitbauer

Architecture in Ajax ApplicationsAlois Reitbauer

Q Con Performance Testing At The EdgeAlois Reitbauer

Low Hanging Fruits In J EE PerformanceAlois Reitbauer

W-JAX Performance Workshop - Database PerformanceAlois Reitbauer

W-JAX Performance Workshop - Web and AJAXAlois Reitbauer

W JAX Performance Workshop - Organisational AntipatternsAlois Reitbauer

Jax Ajax ArchitectureAlois Reitbauer

Recently uploaded (20)

Who's choice? Making decisions with and about Artificial Intelligence, Keele ...Alan Dix

Invited talk at Designing for People: AI and the Benefits of Human-Centred Digital Products, Digital & AI Revolution week, Keele University, 14th May 2025 https://www.alandix.com/academic/talks/Keele-2025/ In many areas it already seems that AI is in charge, from choosing drivers for a ride, to choosing targets for rocket attacks. None are without a level of human oversight: in some cases the overarching rules are set by humans, in others humans rubber-stamp opaque outcomes of unfathomable systems. Can we design ways for humans and AI to work together that retain essential human autonomy and responsibility, whilst also allowing AI to work to its full potential? These choices are critical as AI is increasingly part of life or death decisions, from diagnosis in healthcare ro autonomous vehicles on highways, furthermore issues of bias and privacy challenge the fairness of society overall and personal sovereignty of our own data. This talk will build on long-term work on AI & HCI and more recent work funded by EU TANGO and SoBigData++ projects. It will discuss some of the ways HCI can help create situations where humans can work effectively alongside AI, and also where AI might help designers create more effective HCI.

RTP Over QUIC: An Interesting Opportunity Or Wasted Time?Lorenzo Miniero

machines-for-woodworking-shops-en-compressed.pdfAmirStern2

Building Connected Agents: An Overview of Google's ADK and A2A ProtocolSuresh Peiris

Google's Agent Development Kit (ADK) provides a framework for building AI agents, including complex multi-agent systems. It offers tools for development, deployment, and orchestration. Complementing this, the Agent2Agent (A2A) protocol is an open standard by Google that enables these AI agents, even if from different developers or frameworks, to communicate and collaborate effectively. A2A allows agents to discover each other's capabilities and work together on tasks. In essence, ADK helps create the agents, and A2A provides the common language for these connected agents to interact and form more powerful, interoperable AI solutions.

In-App Guidance_ Save Enterprises Millions in Training & IT Costs.pptxaptyai

Secondary Storage for a microcontroller systemfizarcse

OpenAI Just Announced Codex: A cloud engineering agent that excels in handlin...SOFTTECHHUB

Computer Systems Quiz Presentation in Purple Bold Style (4).pdffizarcse

AI and Gender: Decoding the Sociological ImpactSaikatBasu37

Crazy Incentives and How They Kill Security. How Do You Turn the Wheel?Christian Folini

Everybody is driven by incentives. Good incentives persuade us to do the right thing and patch our servers. Bad incentives make us eat unhealthy food and follow stupid security practices. There is a huge resource problem in IT, especially in the IT security industry. Therefore, you would expect people to pay attention to the existing incentives and the ones they create with their budget allocation, their awareness training, their security reports, etc. But reality paints a different picture: Bad incentives all around! We see insane security practices eating valuable time and online training annoying corporate users. But it's even worse. I've come across incentives that lure companies into creating bad products, and I've seen companies create products that incentivize their customers to waste their time. It takes people like you and me to say "NO" and stand up for real security!

Top Hyper-Casual Game Studio ServicesNova Carter

accessibility Considerations during Design by Rick Blair, Schneider ElectricUXPA Boston

as UX and UI designers, we are responsible for creating designs that result in products, services, and websites that are easy to use, intuitive, and can be used by as many people as possible. accessibility, which is often overlooked, plays a major role in the creation of inclusive designs. In this presentation, you will learn how you, as a designer, play a major role in the creation of accessible artifacts.

Cybersecurity Threat Vectors and MitigationVICTOR MAESTRE RAMIREZ

Kit-Works Team Study_팀스터디_김한솔_nuqs_20250509.pdfWonjun Hwang

Google DeepMind’s New AI Coding Agent AlphaEvolve.pdfderrickjswork

In a landmark announcement, Google DeepMind has launched AlphaEvolve, a next-generation autonomous AI coding agent that pushes the boundaries of what artificial intelligence can achieve in software development. Drawing upon its legacy of AI breakthroughs like AlphaGo, AlphaFold and AlphaZero, DeepMind has introduced a system designed to revolutionize the entire programming lifecycle from code creation and debugging to performance optimization and deployment.

Developing Product-Behavior Fit: UX Research in Product Development by Krysta...UXPA Boston

What if product-market fit isn't enough? We’ve all encountered companies willing to spend time and resources on product-market fit, since any solution needs to solve a problem for people able and willing to pay to solve that problem, but assuming that user experience can be “added” later. Similarly, value proposition-what a solution does and why it’s better than what’s already there-has a valued place in product development, but it assumes that the product will automatically be something that people can use successfully, or that an MVP can be transformed into something that people can be successful with after the fact. This can require expensive rework, and sometimes stops product development entirely; again, UX professionals are deeply familiar with this problem. Solutions with solid product-behavior fit, on the other hand, ask people to do tasks that they are willing and equipped to do successfully, from purchasing to using to supervising. Framing research as developing product-behavior fit implicitly positions it as overlapping with product-market fit development and supports articulating the cost of neglecting, and ROI on supporting, user experience. In this talk, I’ll introduce product-behavior fit as a concept and a process and walk through the steps of improving product-behavior fit, how it integrates with product-market fit development, and how they can be modified for products at different stages in development, as well as how this framing can articulate the ROI of developing user experience in a product development context.

Building the Customer Identity Community, Together.pdfCheryl Hung

Middle East and Africa Cybersecurity Market Trends and Growth Analysis Preeti Jha

Digital Technologies for Culture, Arts and Heritage: Insights from Interdisci...Vasileios Komianos

Keynote speech at 3rd Asia-Europe Conference on Applied Information Technology 2025 (AETECH), titled “Digital Technologies for Culture, Arts and Heritage: Insights from Interdisciplinary Research and Practice". The presentation draws on a series of projects, exploring how technologies such as XR, 3D reconstruction, and large language models can shape the future of heritage interpretation, exhibition design, and audience participation — from virtual restorations to inclusive digital storytelling.

ICDCC 2025: Securing Agentic AI - Eryk Budi Pratama.pdfEryk Budi Pratama

Title: Securing Agentic AI: Infrastructure Strategies for the Brains Behind the Bots As AI systems evolve toward greater autonomy, the emergence of Agentic AI—AI that can reason, plan, recall, and interact with external tools—presents both transformative potential and critical security risks. This presentation explores: > What Agentic AI is and how it operates (perceives → reasons → acts) > Real-world enterprise use cases: enterprise co-pilots, DevOps automation, multi-agent orchestration, and decision-making support > Key risks based on the OWASP Agentic AI Threat Model, including memory poisoning, tool misuse, privilege compromise, cascading hallucinations, and rogue agents > Infrastructure challenges unique to Agentic AI: unbounded tool access, AI identity spoofing, untraceable decision logic, persistent memory surfaces, and human-in-the-loop fatigue > Reference architectures for single-agent and multi-agent systems > Mitigation strategies aligned with the OWASP Agentic AI Security Playbooks, covering: reasoning traceability, memory protection, secure tool execution, RBAC, HITL protection, and multi-agent trust enforcement > Future-proofing infrastructure with observability, agent isolation, Zero Trust, and agent-specific threat modeling in the SDLC > Call to action: enforce memory hygiene, integrate red teaming, apply Zero Trust principles, and proactively govern AI behavior Presented at the Indonesia Cloud & Datacenter Convention (IDCDC) 2025, this session offers actionable guidance for building secure and trustworthy infrastructure to support the next generation of autonomous, tool-using AI agents.

Who's choice? Making decisions with and about Artificial Intelligence, Keele ...Alan Dix

RTP Over QUIC: An Interesting Opportunity Or Wasted Time?Lorenzo Miniero

machines-for-woodworking-shops-en-compressed.pdfAmirStern2

Building Connected Agents: An Overview of Google's ADK and A2A ProtocolSuresh Peiris

In-App Guidance_ Save Enterprises Millions in Training & IT Costs.pptxaptyai

Secondary Storage for a microcontroller systemfizarcse

OpenAI Just Announced Codex: A cloud engineering agent that excels in handlin...SOFTTECHHUB

Computer Systems Quiz Presentation in Purple Bold Style (4).pdffizarcse

AI and Gender: Decoding the Sociological ImpactSaikatBasu37

Crazy Incentives and How They Kill Security. How Do You Turn the Wheel?Christian Folini

Top Hyper-Casual Game Studio ServicesNova Carter

accessibility Considerations during Design by Rick Blair, Schneider ElectricUXPA Boston

Cybersecurity Threat Vectors and MitigationVICTOR MAESTRE RAMIREZ

Kit-Works Team Study_팀스터디_김한솔_nuqs_20250509.pdfWonjun Hwang

Google DeepMind’s New AI Coding Agent AlphaEvolve.pdfderrickjswork

Developing Product-Behavior Fit: UX Research in Product Development by Krysta...UXPA Boston

Building the Customer Identity Community, Together.pdfCheryl Hung

Middle East and Africa Cybersecurity Market Trends and Growth Analysis Preeti Jha

Digital Technologies for Culture, Arts and Heritage: Insights from Interdisci...Vasileios Komianos

ICDCC 2025: Securing Agentic AI - Eryk Budi Pratama.pdfEryk Budi Pratama

Monitoring and Managing Java Applications

1. Managing Java Applications @AloisReitbauer

2. 3

4. DevOps to the rescue?

5. Don’t just build software that runs

6. Build software that somebody else can run

7. What is performance and how do we measure it?

8. How we define Performance • Response Time The time it takes for an application to respond to a user request. • Throughput The amount of concurrently processed request in a given time period. e.g.: requests/minute. • Availability Status of our systems. Are they up and running for us and our users? • Accuracy Is the response what the user actually expected? Are there any errors

9. Performance Pyramid Business Application Container System Performance

10. Types of Measurement • Cyclic Measurements – Are collected ar regular time intervals – Are time based – JMX, CPU, Memory • Event-based measurements – Are collected as a request occurs – Are transactional – Response Times, CPU consumption

11. Blind Men and Elephants again

12. How can this happen? A: Our response time is 2.3 seconds B: Our response time is 1.5 seconds C: Our response time is 6 seconds

13. Measurement Aggregation • Minimum and Maximum The best and the worst request. Beware of outliers. • Average Sum/Count. Uses in many cases. Quality depends on actual values. • Median What 50 percent of our users see. • Percentile What n percent of our users see.

14. Use percentiles for event-based measures

15. Use averages for cyclical measures

16. Agree on Measurement Approach Page Load Time HTTP Request Time 95 % Servlet Time Network Browser Firewall Sniffer Web Server Application Server Request Time (max)

17. System and Container Metrics

18. Time-Based vs. Event-Based Measurement

19. Transactional Measurement

20. Transaction Flow Visualization

21. Focus on a specific transaction

22. Visual Problem Identification

23. How do we manage performance and solve problems?

24. Types of Problems • Data-Driven Problems Problems which occur for specific users, scenarios and which depend on (input) parameters e.g.: a search query • Load Driven Problems Problems which depend on the current system load. Usually occur at higher load. In most cases resource dependent. e.g.: increased response time with more users. • Environment Driven Problems Problems caused by factors outside the application. e.g.: hardware, network connectivity, etc.

25. Operations Main Tasks • Monitoring Collect all relevant KPIs and check against SLAs and baselines? • Alerting/Incident Management Inform ops about problems • Impact Analysis Analyze the impact of issues. Who is affected? • Isolation What is the cause of a problem and who must I talk to? • Diagnosis Why is there a problem and how can we fix it?

26. Key Performance Indicators/Metrics • Visitors and Requests How many people are using our site? • Response Times How fast do we service requests.? • Errors and Failed Transactions How many problems do we see and how often do they affect functionality? • Availability Can our systems currently be reached? • Utilization Metrics Do we have enough resources and are we using them efficiently?

27. … and in the real world?

28. Large-scale shopping platform

29. Performance Pyramid Business Application Container System Performance

30. System/Container Performance

31. Technical Response Time View

32. Page Category Performance

33. Performance of Key Transactions

34. Business View wit Performance Data

35. You can do even more (aka. Goodies)

36. Page Error Tracking

37. Third Party Management

38. Amazon EC2 Cost Monitoring