Software Trace and Memory Dump Analysis: Patterns, Tools, Processes and Best Practices

•

1 like•207 views

The slides from Software Diagnostics Services (former Memory Dump Analysis Services) lecture at E2EVC Virtualization Conference (13th of May, 2011) that introduced an analysis methodology for software execution artifacts. Topics include: A.C.P. Root Cause Analysis; DA+TA; Spatiality vs. Narrativity; Tools for Artifact Analysis; Checklists for Analysis; Software Behavior Patterns; Adjoint Threads; Selected Trace and Log Analysis Patterns; Trace Analysis Case Study.

Software

Agenda
 Memory Dump Analysis Services
 Root Cause Analysis Methodology
 Software Traces and Memory Dumps
 Examples
© 2011 Memory Dump Analysis Services

MDA Services
 Memory Dump Analysis Audit
 Software Trace Analysis Audit (New)
 Software Error Reporting Audit
 Remote Training
 Debugging Bureau
 Tool Objects and EasyDbg
Powered by DA+TA
DumpAnalysis.org + TraceAnaysis.org
© 2011 Memory Dump Analysis Services

A.C.P. Root Cause Analysis
© 2011 Memory Dump Analysis Services
Artifacts
Checklists
Patterns
Checklists and patterns
as best practices
Iterative and Incremental

DA+TA
 DA: Dump Artifact / Dump Analysis
Memory snapshots: process, kernel, physical memory dumps
 TA: Trace Artifact / Trace Analysis
Software traces: Event Tracing for Windows, logs
© 2011 Memory Dump Analysis Services

Spatiality vs. Narrativity
© 2011 Memory Dump Analysis Services
Narrativity
Spartiality
Software
Trace
Memory Dump
Software trace as software narrative,
the story of a computation

Tools for Artifact Analysis
Memory dumps:
 WinDbg from Debugging Tools for Windows
 Notepad (textual debugger logs)
Software traces:
 CDFAnalyzer* / CDFControl from Citrix
 Process Monitor* from Microsoft
* supports adjoint threads
© 2011 Memory Dump Analysis Services

Checklists for Analysis
Memory dumps:
http://www.dumpanalysis.org/blog/index.php/2007/06/
20/crash-dump-analysis-checklist/
Software traces:
http://www.dumpanalysis.org/blog/index.php/2011/03/
10/software-trace-analysis-checklist/
© 2011 Memory Dump Analysis Services

Software Behavior Patterns
 Memory dump and software trace
 Examples: Spiking Thread, Discontinuity
 +200 patterns (DA+TA)
 DumpAnalysis.org
© 2011 Memory Dump Analysis Services

DA: Software Behavior
 Memory dump: a memory snapshot
 Definition, partial classification and
historical list
 Pattern identification case studies
© 2011 Memory Dump Analysis Services

TA: Software Behavior
“Imagine you got a software trace from hundreds of modules
you haven’t written or haven’t seen source code of...”
 Software trace: a sequence of memory
fragments ordered in time
 Definition, and historical list
 Pattern identification case studies
© 2011 Memory Dump Analysis Services

CDFAnalyzer Filters
© 2011 Memory Dump Analysis Services

Threads
Time
# PID TID Time Message
Time
# PID TID Time Message
© 2011 Memory Dump Analysis Services

Adjoint Threads
© 2011 Memory Dump Analysis Services
Time
# PID TID Time Message
Time
# PID TID Time Message (ATID)

Significant Event
csrss.exe
winlogon.exe
LogonUI.exe
userinit.exe
…
Custom events: CDFMarker
© 2011 Memory Dump Analysis Services
Time
# PID TID Time Message

Discontinuity
© 2011 Memory Dump Analysis Services
…
14:23:02.146
14:23:02.345
14:31:10.254
14:31:10.341
…
Time
# PID TID Time Message

No Activity
Expecting messages from Module X
Absence of such messages may
suggest that a process or a thread was
hang / blocked
© 2011 Memory Dump Analysis Services

Guest Component
Sudden appearance of an unexpected
module, for example, werfault.exe or
faultrep.dll
© 2011 Memory Dump Analysis Services

Statement Current
The flood of messages
Normal case: 15 msg/s
Abnormal case: 3500 msg/s
May point to a CPU spike
© 2011 Memory Dump Analysis Services

Resources
 DumpAnalysis.org
 Pattern-Driven Memory Dump Analysis
 Memory Dump and Trace Analysis: A Unified Pattern Approach
 Introduction to Pattern-Driven Software Problem Solving
 Advanced Software Debugging Reference:
 OpenTask publishes this talk with extra case studies
(ISBN: 978-1908043238)
© 2011 Memory Dump Analysis Services

More Resources
August remote training season:
 Accelerated Windows Memory Dump Analysis
 Complete Physical Memory Dump Analysis
Visit Memory Dump Analysis Services for registration details:
www.DumpAnalysis.com
© 2011 Memory Dump Analysis Services

Free Summer Webinars
 The Old New Crash: Cloud Memory Dump
Analysis (June 6th)
 Cyber Warfare Memory Dump Analysis
(forthcoming in July-August)
Visit Memory Dump Analysis Services for registration details:
www.DumpAnalysis.com
© 2011 Memory Dump Analysis Services

Q&A
Please send your feedback using the contact
form on DumpAnalysis.com
© 2011 Memory Dump Analysis Services

Thank you!
© 2011 Memory Dump Analysis Services
Join DA+TA Facebook Group

The slides from Software Diagnostics Services (former Memory Dump Analysis Services) seminar (25th of March, 2011) on pattern-driven software troubleshooting, debugging, and maintenance. Topics include: A Short History of DumpAnalysis.org; Memory Dump Analysis Patterns; Troubleshooting and Debugging Tools (Debugware) Patterns; Software Trace Analysis Patterns; From Software Defects to Software Behavior; Workaround Patterns; Structural Memory Patterns; Memory Analysis Domain Pattern Hierarchy; New Directions.

Introduction to Memory Analysis

Emil Tan

Would you Rather Have Telemetry into 2 Attacks or 20? An Insight Into Highly ...

MITRE ATT&CK

From ATT&CKcon 3.0 By Jonny Johnson, Red Canary and Olaf Hartong, FalconForce As defenders, we often find ourselves wanting "more" data. But why? Will this new data provide a lot of value or is it for a very niche circumstance? How many attacks does it apply to? Are we leveraging previous data sources to their full capability? Within this talk, Olaf and Jonny will walk through different data sources they leverage more than most when analyzing data within environments, why they do, and what these data sources do and can provide in terms of value to a defender.

The Old New Crash: Cloud Memory Dump Analysis

Dmitry Vostokov

The document summarizes memory dump analysis in cloud computing environments. It discusses analyzing memory dumps and traces from cloud platforms like Windows Azure. The presentation covers what aspects are old and new in cloud memory dump analysis, including using elastic storage and centralized security. Live memory dump analysis in cloud environments is also presented, along with resources for training and free webinars on related topics.

Accelerated Windows Software Trace Analysis training public slides

Dmitry Vostokov

The slides from Software Diagnostics Services software trace and log analysis training. The training description: "Feel frustrated when opening a software trace with millions of messages from hundreds of software components, threads, and processes? Go beyond simple CPU and disk hog monitoring or searching for errors in a text and learn how to efficiently and effectively analyze software traces and logs from complex software environments. Covered popular software logs and trace formats from Microsoft and Citrix products and tools including Event Tracing for Windows (ETW) and Citrix Diagnostic Facility (CDF) and approx. 60 trace and log analysis patterns. This course teaches pioneering and innovative pattern-oriented analysis of abnormal software behavior incidents developed by Software Diagnostics Institute."

Forensics perspective ERFA-møde marts 2017

J Hartig

This document provides an overview of analyzing banker trojans from a digital forensics perspective. It discusses identifying how banker trojans persist on systems, how they are initially installed, and techniques for determining the timeline of infection. Free tools are presented for collecting artifacts like files, registry entries, and events for analysis. A case study of the Carbanak and Dridex banker trojans is briefly described. Finally, commercial incident response tools are summarized, including automated collection and analysis capabilities as well as reporting and data sharing functions.

Log Standards & Future Trends by Dr. Anton Chuvakin

Anton Chuvakin

This document discusses log standards and future trends in logging. It outlines the current state of log chaos, with no standard formats, schemas, taxonomies, or transport mechanisms. This results in logs being difficult to analyze and make sense of. The document then discusses past attempts at log standards that failed and proposes that a common event expression standard could help bring order to the chaos by establishing common log syntax, taxonomy, transport, and recommendations. This would allow for improved log management, correlation, and security analysis capabilities. It also notes that growing log volumes will continue to pose challenges and will need to be addressed.

Memory forensic analysis (aashish)

ClubHack

This document discusses analyzing the contents of RAM on a Windows machine for forensic purposes. It explains that RAM contains valuable evidence about running processes, open files and registry handles, network information, passwords, and hidden data. The document outlines techniques for acquiring memory dumps, enumerating processes, investigating suspicious files and registry keys, and analyzing network connections and encryption keys from volatile memory. It also mentions tools that can be used for memory analysis, such as Memdump, Procenum, Volatility Framework, and commercial tools like Memoryze.

Watch this Tech Talk: https://do.co/video_dworth Dave Worth, Engineering Manager at Strava, lays out a strategy for choosing the right tech stack depending on your business and team need. Watch as he guides you through tool sets that navigate around business constraints and regulatory concerns. About the Presenter Dave Worth’s professional life consists of being a web and backend engineer who developed specialization in observability through building reliable distributed systems at Strava, and previously DigitalOcean. In his spare time, Dave loves cycling, jiu jitsu, and searching for another great math book to only read the first 50 pages of. New to DigitalOcean? Get US $100 in credit when you sign up: https://do.co/deploytoday To learn more about DigitalOcean: https://www.digitalocean.com/ Follow us on Twitter: https://twitter.com/digitalocean Like us on Facebook: https://www.facebook.com/DigitalOcean Follow us on Instagram: https://www.instagram.com/thedigitalocean/ We're hiring: http://do.co/careers

Next Gen Data Modeling in the Open Data Platform With Doron Porat and Liran Y...

HostedbyConfluent

Next Gen Data Modeling in the Open Data Platform With Doron Porat and Liran Yogev | Current 2022 At Yotpo, we have a rich and busy data lake consisting of thousands of data sets ingested and digested by different engines, the main one being Spark. We built our data infrastructure to enable our users to produce and consume data via self-service tooling, giving them the utmost freedom. This freedom came with a cost. We had trouble with bad standardization, little data reusability, lack of data lineage, and flaky data sets. We also witnessed the landscape under which we built our platform change dramatically and so have our analytics needs and expectations. We came to an understanding that the modeling layer should be decoupled from the execution layer in order to get rid of the limitations we were bounded by - Batch and stream should be no more than attributes as part of a wider abstraction A Kafka topic and a data lake table are no different and should be treated the same way Observability of our data pipelines should have the same quality and depth across all execution engines, storage methods, and formats Governance should be an implicit part of our ecosystem to serve as a basis for both exploration and automation/anomaly detection That's when we started building YODA (soon to be open sourced) that gives us killer dev experience with the level of abstraction we always dreamed of. Combining DBT, Databricks, lakeFS, and a multitude of streaming engines - we started seeing our vision come to life. In this talk, we'll share from our journey redesigning the data lake, and how to best address organizational needs, without having to give up on high-end tooling and technology. We are taking this to the next level.

OSMC 2011 | Safed as an agent for supporting a central collection of events w...

NETWAYS

Würth Phoenix is an IT consulting company belonging to the Würth group. It developed the Safed Agent to improve upon open source syslog agents. The Safed Agent integrates Snare and Epilog capabilities into a single agent. It supports reliable transmission over TCP and TLS to a centralized syslog server. The agent has a centralized configuration and additional features like auto administrator discovery, encryption, and integrity checking of log messages.

File000125

Desmond Devendran

The document discusses a new software called Passware Search Index Examiner that allows quick extraction of all data indexed by Windows Search from a Windows computer. It lists documents, emails, spreadsheets, and provides metadata like author, recipients, content summary. A typical extraction takes under 10 minutes and indexes over 150,000 items from an average personal computer. The easy wizard interface makes the process simple to use.

Spug pt session2 - debuggingl

Comunidade Portuguesa de SharePoiint

This document summarizes a meeting of the Portuguese SharePoint Community held on June 12, 2010. The agenda included an overview of debugging, debugging tools, and next steps. It defines debugging as methodically finding and reducing bugs to make a program or hardware behave as expected. It discusses various debugging techniques like screen dumps, logs, code debugging in Visual Studio, web debugging with tools like Fiddler, and runtime debugging using the Windows kernel and tools like Windbg. Further reading materials are also provided.

LogChaos: Challenges and Opportunities of Security Log Standardization

Anton Chuvakin

LogChaos: Challenges and Opportunities of Security Log Standardization Abstract: The presentation will discuss how to bring order (in the form of standards!) to the chaotic world of logging. It will give a brief introduction to logs and logging and explain how and why logs grew so chaotic and disorganized. Next it will cover why log standards are sorely needed. It will offer a walkthrough that highlights the critical areas of log standardization. Past failed standards will be looked at and their lessons learned. Finally, current logging standard efforts will be presented briefly.

SQL Server 2008 R2 StreamInsight

Eduardo Castro

Massive amounts of data are being generated from various sources like cell phones, sensors, web logs etc. This ambient data needs to be processed in real-time to enable scenarios like fraud detection, manufacturing process control, network monitoring etc. SQL Server StreamInsight provides a platform to process data streams with low latency queries, enabling near real-time analytics and action. Key capabilities include filtering, correlating, aggregating events over windows using a LINQ-like declarative query language.

FOSDEM2017 - Janus Event Handlers

Lorenzo Miniero

The document discusses Janus, an open-source WebRTC gateway server. It introduces event handlers, a new type of plugin that allows asynchronous monitoring of Janus. Event handlers can subscribe to events from the core and plugins, like session creation/destruction or PeerConnection state changes. This provides more visibility than polling the Admin API. The document demonstrates integrating Homer, a monitoring framework, as an event handler plugin. It also previews demos of the EchoTest and VideoRoom plugins using event handlers.

Responding to extended events in near real time

Gianluca Sartori

This document discusses using Extended Events in SQL Server to monitor and respond to events in near real-time. It introduces Extended Events concepts and the streaming target type that allows processing events as they occur. The presenter demonstrates streaming Extended Events in C# and PowerShell and introduces the Extended T-SQL Collector, an open source tool that saves Extended Events data to SQL Server tables and provides alerting functionality.

Methods and Instruments for the new Digital Forensics Environments

piccimario

This document discusses Mario Piccinelli's PhD thesis focused on digital forensics of modern devices like the iPhone, eBook readers, and voyage data recorders. It summarizes that these devices store digital data that may be required for investigations but have not been well-studied forensically. It describes analyzing backups of iOS devices and eBook readers to extract useful metadata and build timelines of usage. For voyage data recorders, it explains recovering raw data files and building tools to parse and visualize the data in NMEA format for use in accident investigations.

Microsoft SQL Server - StreamInsight Overview Presentation

Microsoft Private Cloud

This document provides an overview of Microsoft's StreamInsight Complex Event Processing (CEP) platform. It discusses CEP concepts and benefits, the StreamInsight architecture and development environment, and deployment scenarios. The presentation aims to introduce IT professionals to CEP and Microsoft's StreamInsight solution for building event-driven applications that process streaming data with low latency.

Anti-Forensic Rootkits

amiable_indian

The document discusses anti-forensic rootkits and techniques that can manipulate digital evidence collected through live forensic imaging. It presents DDefy, a proof-of-concept anti-forensic rootkit that intercepts disk read requests and modifies the data returned to hide sensitive information from live forensic tools. DDefy demonstrates that current live imaging methods are insufficient to guarantee collection of untainted evidence, as they rely on the compromised system to provide the data. Better techniques are needed to directly acquire disk data and confirm it matches the kernel and userland views.

Open source network forensics and advanced pcap analysis

GTKlondike

Speaker: GTKlondike There is a lot of information freely available out on the internet to get network administrators and security professionals started with network analysis tools such as Wireshark. However, there is a well defined limit on how in depth the topic is covered. This intermediate level talk aims to bridge the gap between a basic understanding of protocol analyzers (I.e. Wireshark and TCPdump), and practical real world usage. Things that will be covered include: network file carving, statistical flow analysis, GeoIP, exfiltration, limitations of Wireshark, and other network based attacks. It is assumed the audience has working knowledge of protocol analysis tools (I.e. Wireshark and TCPdump), OSI and TCP/IP model, and major protocols (I.e. DNS, HTTP(s), TCP, UDP, DHCP, ARP, IP, etc.). Bio GTKlondike is a local hacker/independent security researcher who has a passion for network security, both attack and defense. He has several years experience working as an network infrastructure and security consultant mainly dealing with switching, routing, firewalls, and servers. Currently attending graduate school, he is constantly studying and learning new techniques to better defend or bypass network security mechanisms.

Production debugging web applications

Ido Flatow

The document outlines various case studies and techniques for debugging web applications, including using tools like Performance Monitor, Process Explorer, and Message Analyzer to troubleshoot issues with high memory usage, unexplained exceptions, and failures in SSL/TLS communication. It provides examples of debugging slow or hanging services, tracking down errors only seen under heavy loads, and identifying memory leaks in .NET applications.

Using Embedded Linux for Infrastructure Systems

Yoshitake Kobayashi

(Embedded Linux Conference Europe 2014) Linux uses many kind of embedded products. The products include not only consumer electronics but also control systems such as programmable logic controllers. There are many type of infrastructure systems and each system has different technical requirements. The requirements include not only real-time performance but also reliability-related functions. The infrastructure systems have to meet all the requirements. This presentation gives a summary of our study and development to adapt the Linux to infrastructure systems. Then we discuss the direction of future development. Please note, this presentation doesn't focus on a specific product.

Malware Narratives

Dmitry Vostokov

This document discusses software diagnostics and malware analysis patterns. It defines software diagnostics as studying abnormal software behavior using pattern-driven and pattern-based analysis of execution artifacts. Diagnostics patterns are common problems with recommendations and solutions. The document outlines different types of patterns for memory dumps, traces, logs and malware narratives and provides examples. It promotes pattern-oriented analysis for effective malware detection and diagnostics.

Log Mining: Beyond Log Analysis

Anton Chuvakin

The presentation will describe methods for discovering interesting and actionable patterns in log files for security management without specifically knowing what you are looking for. This approach is different from "classic" log analysis and it allows gaining an insight into insider attacks and other advanced intrusions, which are extremely hard to discover with other methods. Specifically, I will demonstrate how data mining can be used as a source of ideas for designing future log analysis techniques, that will help uncover the coming threats. The important part of the presentation will be the demonstration how the above methods worked in a real-life environment.

lec4.ppt system calls explained in detail

frp60658

Digital Forensics

Oldsun

Accelerated Windows Debugging 3 training public slides

Dmitry Vostokov

Accelerated .NET Memory Dump Analysis training public slides

Dmitry Vostokov

This document provides an overview and training materials for analyzing .NET memory dumps. The training goals are to review fundamentals, learn how to analyze process dumps, learn necessary WinDbg commands in context, and cover CLR 4 on x86 and x64. The training covers fundamentals of memory spaces, user/managed space, types/assemblies/modules, process threads, and provides examples of stack traces and commands. It also outlines practice exercises analyzing different memory dumps to diagnose issues like exceptions, deadlocks, leaks and corruption.

Similar to Software Trace and Memory Dump Analysis: Patterns, Tools, Processes and Best Practices

Lists of tech acronyms

bc dalai

Building an Observability Platform in 389 Difficult Steps

DigitalOcean

Next Gen Data Modeling in the Open Data Platform With Doron Porat and Liran Y...

HostedbyConfluent

OSMC 2011 | Safed as an agent for supporting a central collection of events w...

NETWAYS

File000125

Desmond Devendran

Spug pt session2 - debuggingl

Comunidade Portuguesa de SharePoiint

LogChaos: Challenges and Opportunities of Security Log Standardization

Anton Chuvakin

SQL Server 2008 R2 StreamInsight

Eduardo Castro

FOSDEM2017 - Janus Event Handlers

Lorenzo Miniero

Responding to extended events in near real time

Gianluca Sartori

Methods and Instruments for the new Digital Forensics Environments

piccimario

Microsoft SQL Server - StreamInsight Overview Presentation

Microsoft Private Cloud

Anti-Forensic Rootkits

amiable_indian

Open source network forensics and advanced pcap analysis

GTKlondike

Production debugging web applications

Ido Flatow

Using Embedded Linux for Infrastructure Systems

Yoshitake Kobayashi

Malware Narratives

Dmitry Vostokov

Log Mining: Beyond Log Analysis

Anton Chuvakin

lec4.ppt system calls explained in detail

frp60658

Digital Forensics

Oldsun

Similar to Software Trace and Memory Dump Analysis: Patterns, Tools, Processes and Best Practices (20)

Lists of tech acronyms

Building an Observability Platform in 389 Difficult Steps

Next Gen Data Modeling in the Open Data Platform With Doron Porat and Liran Y...

OSMC 2011 | Safed as an agent for supporting a central collection of events w...

File000125

Spug pt session2 - debuggingl

LogChaos: Challenges and Opportunities of Security Log Standardization

SQL Server 2008 R2 StreamInsight

FOSDEM2017 - Janus Event Handlers

Responding to extended events in near real time

Methods and Instruments for the new Digital Forensics Environments

Microsoft SQL Server - StreamInsight Overview Presentation

Anti-Forensic Rootkits

Open source network forensics and advanced pcap analysis

Production debugging web applications

Using Embedded Linux for Infrastructure Systems

Malware Narratives

Log Mining: Beyond Log Analysis

lec4.ppt system calls explained in detail

Digital Forensics

More from Dmitry Vostokov

Accelerated Windows Debugging 3 training public slides

Dmitry Vostokov

Accelerated .NET Memory Dump Analysis training public slides

Dmitry Vostokov

Debugging TV Frame 0x1C

Dmitry Vostokov

Debugging TV Frame 0x1A

Dmitry Vostokov

Debugging TV Frame 0x34

Dmitry Vostokov

Debugging TV Frame 0x33

Dmitry Vostokov

Debugging TV Frame 0x31

Dmitry Vostokov

Debugging TV Frame 0x25

Dmitry Vostokov

Debugging TV Frame 0x24

Dmitry Vostokov

Debugging TV Frame 0x21

Dmitry Vostokov

Debugging TV Frame 0x20

Dmitry Vostokov

Debugging TV Frame 0x19

Dmitry Vostokov

Debugging TV Frame 0x18

Dmitry Vostokov

Debugging TV Frame 0x17

Dmitry Vostokov

Debugging TV Frame 0x16

Dmitry Vostokov

Debugging TV Frame 0x15

Dmitry Vostokov

Debugging TV Frame 0x14

Dmitry Vostokov

Debugging TV Frame 0x13

Dmitry Vostokov

Debugging TV Frame 0x12

Dmitry Vostokov

Dmitry Vostokov is presenting on topics related to debugging Mac OS software including a pattern language for diagnostics, an example of core dump analysis using patterns, and partial stack trace reconstruction. The document provides an example of analyzing a core dump file from Mac OS using gdb and examining the memory regions around the stack pointer to find clues about the state of the program. It shows dumping memory near the stack, examining buffers, and finding a readable string that provides insight into what the program was doing.

Debugging TV Frame 0x11

Dmitry Vostokov

More from Dmitry Vostokov (20)

Accelerated Windows Debugging 3 training public slides

Accelerated .NET Memory Dump Analysis training public slides

Debugging TV Frame 0x1C

Debugging TV Frame 0x1A

Debugging TV Frame 0x34

Debugging TV Frame 0x33

Debugging TV Frame 0x31

Debugging TV Frame 0x25

Debugging TV Frame 0x24

Debugging TV Frame 0x21

Debugging TV Frame 0x20

Debugging TV Frame 0x19

Debugging TV Frame 0x18

Debugging TV Frame 0x17

Debugging TV Frame 0x16

Debugging TV Frame 0x15

Debugging TV Frame 0x14

Debugging TV Frame 0x13

Debugging TV Frame 0x12

Debugging TV Frame 0x11

Recently uploaded

What is Continuous Testing in DevOps - A Definitive Guide.pdf

kalichargn70th171

What’s New in VictoriaLogs - Q2 2024 Update

VictoriaMetrics

These are the slides of the presentation given during the Q2 2024 Virtual VictoriaMetrics Meetup. View the recording here: https://www.youtube.com/watch?v=hzlMA_Ae9_4&t=206s Topics covered: 1. What is VictoriaLogs Open source database for logs ● Easy to setup and operate - just a single executable with sane default configs ● Works great with both structured and plaintext logs ● Uses up to 30x less RAM and up to 15x disk space than Elasticsearch ● Provides simple yet powerful query language for logs - LogsQL 2. Improved querying HTTP API 3. Data ingestion via Syslog protocol * Automatic parsing of Syslog fields * Supported transports: ○ UDP ○ TCP ○ TCP+TLS * Gzip and deflate compression support * Ability to configure distinct TCP and UDP ports with distinct settings * Automatic log streams with (hostname, app_name, app_id) fields 4. LogsQL improvements ● Filtering shorthands ● week_range and day_range filters ● Limiters ● Log analytics ● Data extraction and transformation ● Additional filtering ● Sorting 5. VictoriaLogs Roadmap ● Accept logs via OpenTelemetry protocol ● VMUI improvements based on HTTP querying API ● Improve Grafana plugin for VictoriaLogs - https://github.com/VictoriaMetrics/victorialogs-datasource ● Cluster version ○ Try single-node VictoriaLogs - it can replace 30-node Elasticsearch cluster in production ● Transparent historical data migration to object storage ○ Try single-node VictoriaLogs with persistent volumes - it compresses 1TB of production logs from Kubernetes to 20GB ● See https://docs.victoriametrics.com/victorialogs/roadmap/ Try it out: https://victoriametrics.com/products/victorialogs/

Streamlining End-to-End Testing Automation

Anand Bagmar

Streamlining End-to-End Testing Automation with Azure DevOps Build & Release Pipelines Automating end-to-end (e2e) test for Android and iOS native apps, and web apps, within Azure build and release pipelines, poses several challenges. This session dives into the key challenges and the repeatable solutions implemented across multiple teams at a leading Indian telecom disruptor, renowned for its affordable 4G/5G services, digital platforms, and broadband connectivity. Challenge #1. Ensuring Test Environment Consistency: Establishing a standardized test execution environment across hundreds of Azure DevOps agents is crucial for achieving dependable testing results. This uniformity must seamlessly span from Build pipelines to various stages of the Release pipeline. Challenge #2. Coordinated Test Execution Across Environments: Executing distinct subsets of tests using the same automation framework across diverse environments, such as the build pipeline and specific stages of the Release Pipeline, demands flexible and cohesive approaches. Challenge #3. Testing on Linux-based Azure DevOps Agents: Conducting tests, particularly for web and native apps, on Azure DevOps Linux agents lacking browser or device connectivity presents specific challenges in attaining thorough testing coverage. This session delves into how these challenges were addressed through: 1. Automate the setup of essential dependencies to ensure a consistent testing environment. 2. Create standardized templates for executing API tests, API workflow tests, and end-to-end tests in the Build pipeline, streamlining the testing process. 3. Implement task groups in Release pipeline stages to facilitate the execution of tests, ensuring consistency and efficiency across deployment phases. 4. Deploy browsers within Docker containers for web application testing, enhancing portability and scalability of testing environments. 5. Leverage diverse device farms dedicated to Android, iOS, and browser testing to cover a wide range of platforms and devices. 6. Integrate AI technology, such as Applitools Visual AI and Ultrafast Grid, to automate test execution and validation, improving accuracy and efficiency. 7. Utilize AI/ML-powered central test automation reporting server through platforms like reportportal.io, providing consolidated and real-time insights into test performance and issues. These solutions not only facilitate comprehensive testing across platforms but also promote the principles of shift-left testing, enabling early feedback, implementing quality gates, and ensuring repeatability. By adopting these techniques, teams can effectively automate and execute tests, accelerating software delivery while upholding high-quality standards across Android, iOS, and web applications.

美洲杯赔率投注网【网址🎉3977·EE🎉】

widenerjobeyrl638

Baha Majid WCA4Z IBM Z Customer Council Boston June 2024.pdf

Baha Majid

IBM watsonx Code Assistant for Z, our latest Generative AI-assisted mainframe application modernization solution. Mainframe (IBM Z) application modernization is a topic that every mainframe client is addressing to various degrees today, driven largely from digital transformation. With generative AI comes the opportunity to reimagine the mainframe application modernization experience. Infusing generative AI will enable speed and trust, help de-risk, and lower total costs associated with heavy-lifting application modernization initiatives. This document provides an overview of the IBM watsonx Code Assistant for Z which uses the power of generative AI to make it easier for developers to selectively modernize COBOL business services while maintaining mainframe qualities of service.

A Comprehensive Guide on Implementing Real-World Mobile Testing Strategies fo...

kalichargn70th171

The Power of Visual Regression Testing_ Why It Is Critical for Enterprise App...

kalichargn70th171

Visual testing plays a vital role in ensuring that software products meet the aesthetic requirements specified by clients in functional and non-functional specifications. In today's highly competitive digital landscape, users expect a seamless and visually appealing online experience. Visual testing, also known as automated UI testing or visual regression testing, verifies the accuracy of the visual elements that users interact with.

Alluxio Webinar | 10x Faster Trino Queries on Your Data Platform

Alluxio, Inc.

Alluxio Webinar June. 18, 2024 For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Jianjian Xie (Staff Software Engineer, Alluxio) As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly. The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB. What you will learn: - Challenges relating to the speed and costs of running Trino in the cloud - The new Trino file system cache feature overview, including the latest development status and test results - A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache - Real-world cases, including a large online payment firm and a top ridesharing company - The future roadmap of Trino file system cache and Trino-Alluxio integration

The Ultimate Guide to Top 36 DevOps Testing Tools for 2024.pdf

kalichargn70th171

Testing is pivotal in the DevOps framework, serving as a linchpin for early bug detection and the seamless transition from code creation to deployment. DevOps teams frequently adopt a Continuous Integration/Continuous Deployment (CI/CD) methodology to automate processes. A robust testing strategy empowers them to confidently deploy new code, backed by assurance that it has passed rigorous unit and performance tests.

一比一原版(sdsu毕业证书)圣地亚哥州立大学毕业证如何办理

kgyxske

原版一模一样【微信：741003700 】【(sdsu毕业证书)圣地亚哥州立大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原。 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 【主营项目】一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 如果您处于以下几种情况： ◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】 ◇面对父母的压力，希望尽快拿到； ◇不清楚认证流程以及材料该如何准备； ◇回国时间很长，忘记办理； ◇回国马上就要找工作，办给用人单位看； ◇企事业单位必须要求办理的 ◇需要报考公务员、购买免税车、落转户口 ◇申请留学生创业基金留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才办理(sdsu毕业证书)圣地亚哥州立大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。办理(sdsu毕业证书)圣地亚哥州立大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：校徽：象征着学校的荣誉和传承。校名:学校英文全称授予学位：本部分将注明获得的具体学位名称。毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。办理(sdsu毕业证书)圣地亚哥州立大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。综上所述，办理(sdsu毕业证书)圣地亚哥州立大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

Operational ease MuleSoft and Salesforce Service Cloud Solution v1.0.pptx

sandeepmenon62

Beginner's Guide to Observability@Devoxx PL 2024

michniczscribd

Building the Ideal CI-CD Pipeline_ Achieving Visual Perfection

Applitools

Explore the advantages of integrating AI-powered testing into the CI/CD pipeline in this session from Applitools engineer Brandon Murray. More information and session materials at applitools.com Discover how shift-left strategies and advanced testing in CI/CD pipelines can enhance customer satisfaction and streamline development processes, including: • Significantly reduced time and effort needed for test creation and maintenance compared to traditional testing methods. • Enhanced UI coverage that eliminates the necessity for manual testing, leading to quicker and more effective testing processes. • Effortless integration with the development workflow, offering instant feedback on pull requests and facilitating swifter product releases.

ACE - Team 24 Wrapup event at ahmedabad.

Maitrey Patel

Microsoft-Power-Platform-Adoption-Planning.pptx

jrodriguezq3110

Stork Product Overview: An AI-Powered Autonomous Delivery Fleet

Vince Scalabrino

Enhanced Screen Flows UI/UX using SLDS with Tom Kitt

Peter Caitens

The Comprehensive Guide to Validating Audio-Visual Performances.pdf

kalichargn70th171

Strengthening Web Development with CommandBox 6: Seamless Transition and Scal...

Ortus Solutions, Corp

Join us for a session exploring CommandBox 6’s smooth website transition and efficient deployment. CommandBox revolutionizes web development, simplifying tasks across Linux, Windows, and Mac platforms. Gain insights and practical tips to enhance your development workflow. Come join us for an enlightening session where we delve into the smooth transition of current websites and the efficient deployment of new ones using CommandBox 6. CommandBox has revolutionized web development, consistently introducing user-friendly enhancements that catalyze progress in the field. During this presentation, we’ll explore CommandBox’s rich history and showcase its unmatched capabilities within the realm of ColdFusion, covering both major variations. The journey of CommandBox has been one of continuous innovation, constantly pushing boundaries to simplify and optimize development processes. Regardless of whether you’re working on Linux, Windows, or Mac platforms, CommandBox empowers developers to streamline tasks with unparalleled ease. In our session, we’ll illustrate the simple process of transitioning existing websites to CommandBox 6, highlighting its intuitive features and seamless integration. Moreover, we’ll unveil the potential for effortlessly deploying multiple websites, demonstrating CommandBox’s versatility and adaptability. Join us on this journey through the evolution of web development, guided by the transformative power of CommandBox 6. Gain invaluable insights, practical tips, and firsthand experiences that will enhance your development workflow and embolden your projects.

How GenAI Can Improve Supplier Performance Management.pdf

Zycus

Data Collection and Analysis with GenAI enables organizations to gather, analyze, and visualize vast amounts of supplier data, identifying key performance indicators and trends. Predictive analytics forecast future supplier performance, mitigating risks and seizing opportunities. Supplier segmentation allows for tailored management strategies, optimizing resource allocation. Automated scorecards and reporting provide real-time insights, enhancing transparency and tracking progress. Collaboration is fostered through GenAI-powered platforms, driving continuous improvement. NLP analyzes unstructured feedback, uncovering deeper insights into supplier relationships. Simulation and scenario planning tools anticipate supply chain disruptions, supporting informed decision-making. Integration with existing systems enhances data accuracy and consistency. McKinsey estimates GenAI could deliver $2.6 trillion to $4.4 trillion in economic benefits annually across industries, revolutionizing procurement processes and delivering significant ROI.

Recently uploaded (20)

What is Continuous Testing in DevOps - A Definitive Guide.pdf

What’s New in VictoriaLogs - Q2 2024 Update

Streamlining End-to-End Testing Automation

美洲杯赔率投注网【网址🎉3977·EE🎉】

Baha Majid WCA4Z IBM Z Customer Council Boston June 2024.pdf

A Comprehensive Guide on Implementing Real-World Mobile Testing Strategies fo...

The Power of Visual Regression Testing_ Why It Is Critical for Enterprise App...

Alluxio Webinar | 10x Faster Trino Queries on Your Data Platform

The Ultimate Guide to Top 36 DevOps Testing Tools for 2024.pdf

一比一原版(sdsu毕业证书)圣地亚哥州立大学毕业证如何办理

Operational ease MuleSoft and Salesforce Service Cloud Solution v1.0.pptx

Beginner's Guide to Observability@Devoxx PL 2024

Building the Ideal CI-CD Pipeline_ Achieving Visual Perfection

ACE - Team 24 Wrapup event at ahmedabad.

Microsoft-Power-Platform-Adoption-Planning.pptx

Stork Product Overview: An AI-Powered Autonomous Delivery Fleet

Enhanced Screen Flows UI/UX using SLDS with Tom Kitt

The Comprehensive Guide to Validating Audio-Visual Performances.pdf

Strengthening Web Development with CommandBox 6: Seamless Transition and Scal...

How GenAI Can Improve Supplier Performance Management.pdf

Software Trace and Memory Dump Analysis: Patterns, Tools, Processes and Best Practices

1. Software Trace and Memory Dump Analysis Presenter: Dmitry Vostokov Memory Dump Analysis Services

2. Prerequisites Experience in software troubleshooting and reading software logs Advantage: Citrix CDF and Microsoft ETW trace analysis including Process Monitor logs © 2011 Memory Dump Analysis Services

4. MDA Services  Memory Dump Analysis Audit  Software Trace Analysis Audit (New)  Software Error Reporting Audit  Remote Training  Debugging Bureau  Tool Objects and EasyDbg Powered by DA+TA DumpAnalysis.org + TraceAnaysis.org © 2011 Memory Dump Analysis Services

6. DA+TA  DA: Dump Artifact / Dump Analysis Memory snapshots: process, kernel, physical memory dumps  TA: Trace Artifact / Trace Analysis Software traces: Event Tracing for Windows, logs © 2011 Memory Dump Analysis Services

8. Tools for Artifact Analysis Memory dumps:  WinDbg from Debugging Tools for Windows  Notepad (textual debugger logs) Software traces:  CDFAnalyzer* / CDFControl from Citrix  Process Monitor* from Microsoft * supports adjoint threads © 2011 Memory Dump Analysis Services

9. Checklists for Analysis Memory dumps: http://www.dumpanalysis.org/blog/index.php/2007/06/ 20/crash-dump-analysis-checklist/ Software traces: http://www.dumpanalysis.org/blog/index.php/2011/03/ 10/software-trace-analysis-checklist/ © 2011 Memory Dump Analysis Services

12. TA: Software Behavior “Imagine you got a software trace from hundreds of modules you haven’t written or haven’t seen source code of...”  Software trace: a sequence of memory fragments ordered in time  Definition, and historical list  Pattern identification case studies © 2011 Memory Dump Analysis Services

21. Resources  DumpAnalysis.org  Pattern-Driven Memory Dump Analysis  Memory Dump and Trace Analysis: A Unified Pattern Approach  Introduction to Pattern-Driven Software Problem Solving  Advanced Software Debugging Reference:  OpenTask publishes this talk with extra case studies (ISBN: 978-1908043238) © 2011 Memory Dump Analysis Services

22. More Resources August remote training season:  Accelerated Windows Memory Dump Analysis  Complete Physical Memory Dump Analysis Visit Memory Dump Analysis Services for registration details: www.DumpAnalysis.com © 2011 Memory Dump Analysis Services

23. Free Summer Webinars  The Old New Crash: Cloud Memory Dump Analysis (June 6th)  Cyber Warfare Memory Dump Analysis (forthcoming in July-August) Visit Memory Dump Analysis Services for registration details: www.DumpAnalysis.com © 2011 Memory Dump Analysis Services

Software Trace and Memory Dump Analysis: Patterns, Tools, Processes and Best Practices

Recommended

Recommended

More Related Content

Similar to Software Trace and Memory Dump Analysis: Patterns, Tools, Processes and Best Practices

Similar to Software Trace and Memory Dump Analysis: Patterns, Tools, Processes and Best Practices (20)

More from Dmitry Vostokov

More from Dmitry Vostokov (20)

Recently uploaded

Recently uploaded (20)

Software Trace and Memory Dump Analysis: Patterns, Tools, Processes and Best Practices