This document summarizes a presentation about continuous database monitoring using the Trace API in Firebird 2.5. It discusses the motivation for database monitoring, different monitoring approaches in Firebird including triggers, monitoring tables, and the new Audit and Trace Services API. It provides an overview of the Trace Services API and how to configure and manage trace sessions. It also demonstrates how to use the fbtracemgr tool and introduces the FB TraceManager 2 software.
This document discusses the use of reverse engineering to develop intellectual property (IP) blocks for use in aerospace and defense electronics in compliance with certification standards like DO-254. It describes how reverse engineering existing IP blocks can be used to demonstrate that the blocks meet the requirements for safety and quality assurance. The document outlines the process for developing a certification package for an IP block using reverse engineering that closely follows the lifecycle required by DO-254. It provides an example of successfully generating a certification package for an existing IP block using this method and tools.
FBScanner: IBSurgeon's tool to solve all types of performance problems with F...Alexey Kovyazin
FBScanner can be used to profile database applications, monitor user activity, manage database connections (including client disconnection on both Classic and SuperServer architecture). It’s also ideal for troubleshooting INET errors (INET/inet_error: send errno = 10054), as well as auditing existing applications and performance tuning.
Firebird migration: from Firebird 1.5 to Firebird 2.5Alexey Kovyazin
This document summarizes the migration of a 75GB Firebird database from version 1.5 to 2.5 for a pharmaceutical distributor in Russia. Key steps included preparing metadata, testing the data conversion, application migration by checking and updating SQL queries, and optimizing performance. Over 55,000 SQL queries were analyzed, with around 750 requiring changes to work with the new version. The migration was completed in less than 4 months with improved performance on the new platform.
How to Improve Performance Testing Using InfluxDB and Apache JMeterInfluxData
The document describes an end-to-end performance testing framework that uses InfluxDB and Grafana for real-time monitoring and analytics. It includes a replay framework that eliminates data loss during performance tests by writing transactions to a CSV file when the database is down and replaying from the CSV when the database comes back up. The framework provides benefits like increased efficiency, accuracy, and scalability for performance and load testing.
Application Diagnosis with Zend Server TracingZendCon
This document discusses Application Diagnosis with Zend Server Tracing. It provides an overview of debugging applications, introduces Zend Server Tracing as a better way to debug than var_dump, and covers how Zend Server Tracing works including code tracing, monitoring modes, and settings. It provides examples of using code tracing to diagnose uncaught exceptions, destructors, prepared statements, and memory usage. The document encourages using Zend Server Tracing in development, testing, staging, and production environments.
SAP NetWeaver Application Server Add-On for Code Vulnerability Analysis OverviewSAP Technology
For more info: http://scn.sap.com/community/security.
SAP NetWeaver Application Server, add-on for code vulnerability analysis is an integrated tool for efficiently scanning ABAP source code for security vulnerabilities. Locate security risks in your ABAP source code easily and efficiently in order to create secure applications with confidence.
FusionReactor 6 is a new version of an application performance monitoring (APM) tool that goes beyond just monitoring to help prevent issues before systems experience downtime. Key new features include production debugging capabilities to more quickly identify and fix issues, crash protection that can instantly patch issues as they occur, and support for monitoring Java frameworks. FusionReactor 6 aims to reduce downtime and improve customer experience through proactive issue prevention and faster resolution times compared to traditional APM tools.
HP Performance Center software is an enterprise-class performance engineering software designed to facilitate standardization, centralization, global collaboration, and management of a performance engineering center of excellence. It provides a globally accessible web-based platform for enterprise-wide performance testing and collaboration, and enables planning and executing tests across multiple concurrent projects. The software inherits the capabilities of HP LoadRunner and allows testing a broad range of applications on physical and virtual environments.
This document discusses the use of reverse engineering to develop intellectual property (IP) blocks for use in aerospace and defense electronics in compliance with certification standards like DO-254. It describes how reverse engineering existing IP blocks can be used to demonstrate that the blocks meet the requirements for safety and quality assurance. The document outlines the process for developing a certification package for an IP block using reverse engineering that closely follows the lifecycle required by DO-254. It provides an example of successfully generating a certification package for an existing IP block using this method and tools.
FBScanner: IBSurgeon's tool to solve all types of performance problems with F...Alexey Kovyazin
FBScanner can be used to profile database applications, monitor user activity, manage database connections (including client disconnection on both Classic and SuperServer architecture). It’s also ideal for troubleshooting INET errors (INET/inet_error: send errno = 10054), as well as auditing existing applications and performance tuning.
Firebird migration: from Firebird 1.5 to Firebird 2.5Alexey Kovyazin
This document summarizes the migration of a 75GB Firebird database from version 1.5 to 2.5 for a pharmaceutical distributor in Russia. Key steps included preparing metadata, testing the data conversion, application migration by checking and updating SQL queries, and optimizing performance. Over 55,000 SQL queries were analyzed, with around 750 requiring changes to work with the new version. The migration was completed in less than 4 months with improved performance on the new platform.
How to Improve Performance Testing Using InfluxDB and Apache JMeterInfluxData
The document describes an end-to-end performance testing framework that uses InfluxDB and Grafana for real-time monitoring and analytics. It includes a replay framework that eliminates data loss during performance tests by writing transactions to a CSV file when the database is down and replaying from the CSV when the database comes back up. The framework provides benefits like increased efficiency, accuracy, and scalability for performance and load testing.
Application Diagnosis with Zend Server TracingZendCon
This document discusses Application Diagnosis with Zend Server Tracing. It provides an overview of debugging applications, introduces Zend Server Tracing as a better way to debug than var_dump, and covers how Zend Server Tracing works including code tracing, monitoring modes, and settings. It provides examples of using code tracing to diagnose uncaught exceptions, destructors, prepared statements, and memory usage. The document encourages using Zend Server Tracing in development, testing, staging, and production environments.
SAP NetWeaver Application Server Add-On for Code Vulnerability Analysis OverviewSAP Technology
For more info: http://scn.sap.com/community/security.
SAP NetWeaver Application Server, add-on for code vulnerability analysis is an integrated tool for efficiently scanning ABAP source code for security vulnerabilities. Locate security risks in your ABAP source code easily and efficiently in order to create secure applications with confidence.
FusionReactor 6 is a new version of an application performance monitoring (APM) tool that goes beyond just monitoring to help prevent issues before systems experience downtime. Key new features include production debugging capabilities to more quickly identify and fix issues, crash protection that can instantly patch issues as they occur, and support for monitoring Java frameworks. FusionReactor 6 aims to reduce downtime and improve customer experience through proactive issue prevention and faster resolution times compared to traditional APM tools.
HP Performance Center software is an enterprise-class performance engineering software designed to facilitate standardization, centralization, global collaboration, and management of a performance engineering center of excellence. It provides a globally accessible web-based platform for enterprise-wide performance testing and collaboration, and enables planning and executing tests across multiple concurrent projects. The software inherits the capabilities of HP LoadRunner and allows testing a broad range of applications on physical and virtual environments.
This document discusses embedding quality assurance into DevOps practices through continuous testing. It outlines several strategies including automating functional and non-functional tests, implementing shift left testing practices like static code analysis and unit testing, supporting acceptance testing and automated operations verification, and utilizing test data and environment management with an intelligent testing cycle. The overall approach is to prevent defects by building quality into the entire development and operations process.
This document provides an overview of different tools for troubleshooting production application issues: IntelliTrace, WinDbg, and System Center Application Performance Monitoring (APM). IntelliTrace allows recording an application's execution flow and data for historical debugging. WinDbg generates dump files for critical hang/termination issues. System Center APM provides always-on monitoring of applications, performance monitoring, and correlation across servers. The document compares the tools and provides demos of collecting traces using IntelliTrace and monitoring an application with System Center APM.
Continuous Profiling in Production: What, Why and HowSadiq Jaffer
Everyone wants to understand what their application is really doing in production, but this information is normally invisible to developers. Profilers tell you what code your application is running but few developers profile and mostly on their development environments. Thankfully production profiling is now a practical reality that can help you solve and avoid performance problems.
Profiling in development can be problematic because it’s rare that you have a realistic workload or performance test for your system. Even if you’ve got accurate performance tests maintaining these and validating that they represent production systems is hugely time consuming and hard. Not only that but often the hardware and operating system that you run in production are different from your development environment.
This pragmatic talk will help you understand the ins and outs of profiling in a production system. You’ll learn about different techniques and approaches that help you understand what’s really happening with your system. This helps you to solve new performance problems, regressions and undertake capacity planning exercises.
Find out how profiling in production can uncover performance bottlenecks, aid scalability and reduce your costs.
This document provides an overview of Application Insights and how it can be used to monitor Azure services. It discusses key Application Insights features like performance tracing, alerts, and workbooks. It also covers how Application Insights integrates with tools like Visual Studio and VSTS. The document concludes with a brief discussion of pricing and some limitations.
API Gitlab, risparmia tempo nella configurazione dei progetti.
Emerasoft presenta il primo meetup in italiano su Gitlab - 30 minuti - in cui ci focalizzeremo sull'utilizzo delle API per la configurazione dei progetti Gitlab.
Sabrina presenterà l'applicazione Web Gitlab raccontando la nostra esperienza nella configurazione di nuovi progetti utilizzando l'API Gitlab.
Agenda:
- Gitlab Intro
- Funzionalità dell'ultima versione
- Caso d'uso su API Gitlab (Utenti, Gruppi, Progetti)
Vuoi saperne di più?
Unisciti al Gitlab Meetup Milano: https://www.meetup.com/it-IT/Gitlab-Meetup-Milano/ o scrivici all'indirizzo gitlab@emerasoft.com
MuleSoft Surat Virtual Meetup#4 - Anypoint Monitoring and MuleSoft dataloader.ioJitendra Bafna
The document summarizes an agenda for a MuleSoft meetup discussing Anypoint Monitoring, Anypoint Alerts, MuleSoft dataloader.io, and Runtime Manager insights. It provides information on monitoring application and API performance, setting alerts for errors or thresholds, using dataloader.io to import and export data, and gaining visibility into transactions with Runtime Manager insights. It also demonstrates Anypoint Monitoring dashboards and alert configurations.
Platform Observability and Infrastructure Closed LoopsLiz Warner
The document provides a legal disclaimer for Sunku Ranganath's LinkedIn profile. It states that no intellectual property rights are granted and disclaims all warranties. It also notes that the information provided is subject to change and that customers should contact their Intel representative for the latest specifications. The document lists Intel as a trademark and acknowledges several individuals.
The document discusses DevOps toolchains which integrate development and operations tools to improve software delivery. It provides examples of toolchains for activities like continuous integration, deployment, testing, and monitoring. The key benefits are cited as increased efficiency, consistency, safety, and visibility across the development and operations processes. The document recommends auditing current practices, agreeing on a vision, and gradually adopting tools to achieve DevOps.
This session is for Operations Manager (SCOM) administrators, who like to learn new tricks and tips for our daily work. Christian Heitkamp is SCOM a veteran developing and architecting SCOM solutions. This slides give details on SCOM security to review what you should be aware when using RunAs Accounts both on Linux and Windows.
Production profiling what, why and how technical audience (3)RichardWarburton
Everyone wants to understand what their application is really doing in production, but this information is normally invisible to developers. Profilers tell you what code your application is running but few developers profile and mostly on their development environments.
Thankfully production profiling is now a practical reality that can help you solve and avoid performance problems. Profiling in development can be problematic because it’s rare that you have a realistic workload or performance test for your system. Even if you’ve got accurate perf tests maintaining these and validating that they represent production systems is hugely time consuming and hard. Not only that but often the hardware and operating system that you run in production are different from your development environment.
This pragmatic talk will help you understand the ins and outs of profiling in a production system. You’ll learn about different techniques and approaches that help you understand what’s really happening with your system. This helps you to solve new performance problems, regressions and undertake capacity planning exercises.
WATS 2014 WA Agents Overview - CA Workload Automation Technology Summit (WATS...Extra Technology
Please contact us via our contact page - http://www.extratechnology.com/contact - to learn more about CA Technologies' Workload Automation products and to book your place at the next WATS event.
This 'CA Workload Automation Agents Overview' presentation by CA's John Crespin was delivered at 'CA Workload Automation Technology Summit (WATS) 2014' in London, October 2014.
CA's sophisticated workload automation agent technology is shared by CA's AutoSys, CA 7, dSeries and ESP engines.
Since 2013 the UK User Group meetings for dSeries, AutoSys and CA7 are incorporated into WATS. Customers agree that WATS is a must-attend event for the CA Workload Automation community, showcasing CA's Workload Automation solutions.
WATS is a free-of-charge event, sponsored and arranged by Workload Automation experts Extra Technology. It features guest speakers from CA Technologies and CA Community Group Members.
#dSeries #AutoSys #ESP #CA7 #WATS #WorkloadAutomation @CAinc @CA_Community @extratechnology #database #webinterface #Java
Benchmarking is a process of evaluating performance by comparing metrics over time or between configurations. The document discusses benchmarking software performance, focusing on speed as an important and easy-to-measure metric. It introduces Benchmarker.py, a tool for Python code benchmarking that collects execution time data and integrates with CodeSpeed for visualization. Key aspects of effective benchmarking discussed include choosing representative tests, controlling the test environment, and maintaining a historical performance archive.
The document provides an overview of the HFM API and steps for building a .NET client application. It discusses the COM, HTTP Listener, and Web Object Model APIs. It demonstrates creating a project, adding references, and implementing authentication, application opening/closing, and metadata extraction. Tips are provided on improving the app with dynamic menus, status updates, and system information. Third-party tools are also mentioned.
To Scale Test Automation for DevOps, Avoid These Anti-PatternsDevOps.com
We know that most organizations today are integrating at least some test automation into their CI/CD pipelines. Most start with unit testing – which, while a great place to start, can't give you the level of confidence you need to safely deploy into production.
In this webinar, we'll talk about what other types of testing you should be integrating into the CI/CD pipeline to make test automation more valuable – as well as how to develop an integrated approach using Agile test management. We'll also share best practices for avoiding some of the most common anti-patterns we've identified that make it difficult to scale beyond the unit level. You will learn:
How to get more value out of test automation and minimize the number of defects identified late in the delivery cycle
How to avoid common anti-patterns related to collaboration, test data management, testing in the cloud and more
Best practices for scaling and managing test automation across a diverse toolset using Agile test management
The document discusses feedback and operations in software development. It covers topics like continuous feedback loops throughout development, techniques like storyboarding and prototyping for early feedback, code reviews for feedback during sprints, and feedback management tools. It also discusses DevOps practices like continuous integration, monitoring applications and infrastructure without adding code, and using tools like IntelliTrace and SCOM for monitoring in production environments. The completion focuses on learning from tests to preserve testware for future use by adjusting rather than redesigning tests when changes are made.
Mastering DevOps-Driven Data Integration with FMESafe Software
Discover the future of data integration with FME as we seamlessly blend the power of DevOps with the simplicity of no-code workflows.
DevOps, the dynamic fusion of development (Dev) and operations (Ops), is revolutionizing the software industry by enhancing collaboration, boosting efficiency, and automating processes. Now, we're bringing this transformation to data integration.
Join us to explore a real-life case study where a large team collaborates on an FME Workspace stored in GitHub. See how we automate testing and deployment, ensuring seamless transitions to staging and production in the FME Flow environment. Learn the essential tools to deploy enterprise workflows with stability.
We'll showcase key features like Compare & Merge, the Deployment Parameter Store, the FME Flow CLI, and FME Flow Projects, and demonstrate their integration with CI/CD tooling. The result? An agile, collaborative, and change-ready approach to FME workflow creation.
Don't miss this chance to unlock the full potential of FME and revolutionize your data integration game. Join us for an exciting glimpse into the future where DevOps and FME unite for unparalleled efficiency and quality.
This document provides information and examples for working with system tables in Firebird, including:
- Finding tables without a primary key by querying system tables
- Examples of querying system tables to find unique indexes, field types, and more
- Techniques for updating and deleting from tables without a primary key such as using cursors and DB keys
The document contains code examples for common tasks like listing tables without primary keys, finding unique indexes, and working with data in tables that lack a primary or unique key. It also provides insights into the structure and contents of important system tables.
This document discusses embedding quality assurance into DevOps practices through continuous testing. It outlines several strategies including automating functional and non-functional tests, implementing shift left testing practices like static code analysis and unit testing, supporting acceptance testing and automated operations verification, and utilizing test data and environment management with an intelligent testing cycle. The overall approach is to prevent defects by building quality into the entire development and operations process.
This document provides an overview of different tools for troubleshooting production application issues: IntelliTrace, WinDbg, and System Center Application Performance Monitoring (APM). IntelliTrace allows recording an application's execution flow and data for historical debugging. WinDbg generates dump files for critical hang/termination issues. System Center APM provides always-on monitoring of applications, performance monitoring, and correlation across servers. The document compares the tools and provides demos of collecting traces using IntelliTrace and monitoring an application with System Center APM.
Continuous Profiling in Production: What, Why and HowSadiq Jaffer
Everyone wants to understand what their application is really doing in production, but this information is normally invisible to developers. Profilers tell you what code your application is running but few developers profile and mostly on their development environments. Thankfully production profiling is now a practical reality that can help you solve and avoid performance problems.
Profiling in development can be problematic because it’s rare that you have a realistic workload or performance test for your system. Even if you’ve got accurate performance tests maintaining these and validating that they represent production systems is hugely time consuming and hard. Not only that but often the hardware and operating system that you run in production are different from your development environment.
This pragmatic talk will help you understand the ins and outs of profiling in a production system. You’ll learn about different techniques and approaches that help you understand what’s really happening with your system. This helps you to solve new performance problems, regressions and undertake capacity planning exercises.
Find out how profiling in production can uncover performance bottlenecks, aid scalability and reduce your costs.
This document provides an overview of Application Insights and how it can be used to monitor Azure services. It discusses key Application Insights features like performance tracing, alerts, and workbooks. It also covers how Application Insights integrates with tools like Visual Studio and VSTS. The document concludes with a brief discussion of pricing and some limitations.
API Gitlab, risparmia tempo nella configurazione dei progetti.
Emerasoft presenta il primo meetup in italiano su Gitlab - 30 minuti - in cui ci focalizzeremo sull'utilizzo delle API per la configurazione dei progetti Gitlab.
Sabrina presenterà l'applicazione Web Gitlab raccontando la nostra esperienza nella configurazione di nuovi progetti utilizzando l'API Gitlab.
Agenda:
- Gitlab Intro
- Funzionalità dell'ultima versione
- Caso d'uso su API Gitlab (Utenti, Gruppi, Progetti)
Vuoi saperne di più?
Unisciti al Gitlab Meetup Milano: https://www.meetup.com/it-IT/Gitlab-Meetup-Milano/ o scrivici all'indirizzo gitlab@emerasoft.com
MuleSoft Surat Virtual Meetup#4 - Anypoint Monitoring and MuleSoft dataloader.ioJitendra Bafna
The document summarizes an agenda for a MuleSoft meetup discussing Anypoint Monitoring, Anypoint Alerts, MuleSoft dataloader.io, and Runtime Manager insights. It provides information on monitoring application and API performance, setting alerts for errors or thresholds, using dataloader.io to import and export data, and gaining visibility into transactions with Runtime Manager insights. It also demonstrates Anypoint Monitoring dashboards and alert configurations.
Platform Observability and Infrastructure Closed LoopsLiz Warner
The document provides a legal disclaimer for Sunku Ranganath's LinkedIn profile. It states that no intellectual property rights are granted and disclaims all warranties. It also notes that the information provided is subject to change and that customers should contact their Intel representative for the latest specifications. The document lists Intel as a trademark and acknowledges several individuals.
The document discusses DevOps toolchains which integrate development and operations tools to improve software delivery. It provides examples of toolchains for activities like continuous integration, deployment, testing, and monitoring. The key benefits are cited as increased efficiency, consistency, safety, and visibility across the development and operations processes. The document recommends auditing current practices, agreeing on a vision, and gradually adopting tools to achieve DevOps.
This session is for Operations Manager (SCOM) administrators, who like to learn new tricks and tips for our daily work. Christian Heitkamp is SCOM a veteran developing and architecting SCOM solutions. This slides give details on SCOM security to review what you should be aware when using RunAs Accounts both on Linux and Windows.
Production profiling what, why and how technical audience (3)RichardWarburton
Everyone wants to understand what their application is really doing in production, but this information is normally invisible to developers. Profilers tell you what code your application is running but few developers profile and mostly on their development environments.
Thankfully production profiling is now a practical reality that can help you solve and avoid performance problems. Profiling in development can be problematic because it’s rare that you have a realistic workload or performance test for your system. Even if you’ve got accurate perf tests maintaining these and validating that they represent production systems is hugely time consuming and hard. Not only that but often the hardware and operating system that you run in production are different from your development environment.
This pragmatic talk will help you understand the ins and outs of profiling in a production system. You’ll learn about different techniques and approaches that help you understand what’s really happening with your system. This helps you to solve new performance problems, regressions and undertake capacity planning exercises.
WATS 2014 WA Agents Overview - CA Workload Automation Technology Summit (WATS...Extra Technology
Please contact us via our contact page - http://www.extratechnology.com/contact - to learn more about CA Technologies' Workload Automation products and to book your place at the next WATS event.
This 'CA Workload Automation Agents Overview' presentation by CA's John Crespin was delivered at 'CA Workload Automation Technology Summit (WATS) 2014' in London, October 2014.
CA's sophisticated workload automation agent technology is shared by CA's AutoSys, CA 7, dSeries and ESP engines.
Since 2013 the UK User Group meetings for dSeries, AutoSys and CA7 are incorporated into WATS. Customers agree that WATS is a must-attend event for the CA Workload Automation community, showcasing CA's Workload Automation solutions.
WATS is a free-of-charge event, sponsored and arranged by Workload Automation experts Extra Technology. It features guest speakers from CA Technologies and CA Community Group Members.
#dSeries #AutoSys #ESP #CA7 #WATS #WorkloadAutomation @CAinc @CA_Community @extratechnology #database #webinterface #Java
Benchmarking is a process of evaluating performance by comparing metrics over time or between configurations. The document discusses benchmarking software performance, focusing on speed as an important and easy-to-measure metric. It introduces Benchmarker.py, a tool for Python code benchmarking that collects execution time data and integrates with CodeSpeed for visualization. Key aspects of effective benchmarking discussed include choosing representative tests, controlling the test environment, and maintaining a historical performance archive.
The document provides an overview of the HFM API and steps for building a .NET client application. It discusses the COM, HTTP Listener, and Web Object Model APIs. It demonstrates creating a project, adding references, and implementing authentication, application opening/closing, and metadata extraction. Tips are provided on improving the app with dynamic menus, status updates, and system information. Third-party tools are also mentioned.
To Scale Test Automation for DevOps, Avoid These Anti-PatternsDevOps.com
We know that most organizations today are integrating at least some test automation into their CI/CD pipelines. Most start with unit testing – which, while a great place to start, can't give you the level of confidence you need to safely deploy into production.
In this webinar, we'll talk about what other types of testing you should be integrating into the CI/CD pipeline to make test automation more valuable – as well as how to develop an integrated approach using Agile test management. We'll also share best practices for avoiding some of the most common anti-patterns we've identified that make it difficult to scale beyond the unit level. You will learn:
How to get more value out of test automation and minimize the number of defects identified late in the delivery cycle
How to avoid common anti-patterns related to collaboration, test data management, testing in the cloud and more
Best practices for scaling and managing test automation across a diverse toolset using Agile test management
The document discusses feedback and operations in software development. It covers topics like continuous feedback loops throughout development, techniques like storyboarding and prototyping for early feedback, code reviews for feedback during sprints, and feedback management tools. It also discusses DevOps practices like continuous integration, monitoring applications and infrastructure without adding code, and using tools like IntelliTrace and SCOM for monitoring in production environments. The completion focuses on learning from tests to preserve testware for future use by adjusting rather than redesigning tests when changes are made.
Mastering DevOps-Driven Data Integration with FMESafe Software
Discover the future of data integration with FME as we seamlessly blend the power of DevOps with the simplicity of no-code workflows.
DevOps, the dynamic fusion of development (Dev) and operations (Ops), is revolutionizing the software industry by enhancing collaboration, boosting efficiency, and automating processes. Now, we're bringing this transformation to data integration.
Join us to explore a real-life case study where a large team collaborates on an FME Workspace stored in GitHub. See how we automate testing and deployment, ensuring seamless transitions to staging and production in the FME Flow environment. Learn the essential tools to deploy enterprise workflows with stability.
We'll showcase key features like Compare & Merge, the Deployment Parameter Store, the FME Flow CLI, and FME Flow Projects, and demonstrate their integration with CI/CD tooling. The result? An agile, collaborative, and change-ready approach to FME workflow creation.
Don't miss this chance to unlock the full potential of FME and revolutionize your data integration game. Join us for an exciting glimpse into the future where DevOps and FME unite for unparalleled efficiency and quality.
Similar to Continuous Database Monitoring with the Trace API (20)
This document provides information and examples for working with system tables in Firebird, including:
- Finding tables without a primary key by querying system tables
- Examples of querying system tables to find unique indexes, field types, and more
- Techniques for updating and deleting from tables without a primary key such as using cursors and DB keys
The document contains code examples for common tasks like listing tables without primary keys, finding unique indexes, and working with data in tables that lack a primary or unique key. It also provides insights into the structure and contents of important system tables.
This document summarizes the changes to the .NET Firebird data provider over the past year. It discusses 11 new versions that were released with various new features and bug fixes. A total of 49 tickets were resolved, while 87 remained open. The code is now hosted on GitHub for easier community contributions. Support was added for Entity Framework 6 and a new connection pooling system was implemented. Various other improvements and bug fixes were also mentioned.
This document contains slides from a presentation on how Firebird transactions work. The presentation covers the basics of transactions, how record versions are created in Firebird's multi-version architecture, and how the transaction inventory pages and isolation levels allow Firebird to maintain transaction consistency and isolation. Key points include that each record can have multiple versions associated with different transactions, snapshots isolate transactions by copying the transaction inventory, and read committed transactions see the global transaction state while snapshots see only up to their start time.
The document discusses changes to the architecture and implementation of the Super Server in Firebird 3. Key points include:
- The Super Server now uses a single process with multiple threads to handle connections instead of cooperative multitasking with a single active thread.
- Fine-grained locking is used for the shared page cache, with individual latches for each page buffer, improving parallelism but increasing synchronization costs.
- Benchmarks show significant performance improvements for multi-threaded workloads in Firebird 3 compared to earlier versions thanks to better utilization of multiple CPU cores by the Super Server.
This document discusses Firebird database replication solutions, focusing on Jonathan Neve's company Microtec Communications' replication product called CopyCat. CopyCat includes CopyCat Developer for multi-database replication across various database types, CopyCat LiveMirror for high frequency one-way replication for backups, and the upcoming CopyCat DataMerge for fully-featured bidirectional replication. The document provides information on features, case studies demonstrating usage, and upcoming additions planned for 2015.
The document discusses using the TPC-C benchmark to study Firebird database performance under load. It describes running tests with different Firebird configurations, hardware, and database sizes to determine optimal settings. Analysis found page size, buffer size, and hash slots impact performance, but settings optimized for HDDs did not always help SSD performance which responded differently. The tests provided valuable insights into Firebird performance tuning but also showed more analysis is needed to optimize configurations for different hardware.
The document provides an overview of Red Database 2.5, an open source database product developed by Red Soft Corporation. It describes the company and development process, as well as key features of Red Database 2.5 including security features, functional features, integration with OpenLDAP, and use in large government and medical systems. Plans for Red Database 3.0 include merging with Firebird 3.0 and adding load balancing, parallel backup/restore, and migration tools.
The document discusses performance counters in Firebird that provide insight into bottlenecks. It describes existing counters for pages, records, and transactions and improvements being made. New counters being added in Firebird 3.x will provide more granular statistics on record-level activity like locks, waits, conflicts and index usage. The presentation raises potential areas for additional counters related to temporary space, time statistics, and integration with monitoring systems.
This document provides information about numbers and data types in Firebird databases. It discusses integer, floating point, numeric, and decimal data types, including their storage sizes and value ranges. It also covers data type considerations when migrating between Firebird dialects and potential issues with calculations and changing numeric scales. The document is intended to help understand internal numeric storage and proper data type usage in Firebird.
This document discusses the history and future of threading in Firebird databases. It describes how early versions of Firebird were not multi-threaded, but modern versions use threading to improve performance on multi-processor systems. Key aspects of Firebird threading include using limited worker threads to balance load across CPU cores without excessive contention, and fine-grained locking of individual data structures for maximum parallelism.
Firebird 3 includes many new SQL features such as the full MERGE statement syntax from SQL 2008, window functions, regular expression support in SUBSTRING, a native BOOLEAN datatype, and improvements to cursor stability for data modification queries. Procedural SQL is also enhanced with the ability to create SQL functions, subroutines, external functions/procedures/triggers, and exception handling improvements. Additional new features include DDL changes, enhanced security options, and monitoring capabilities.
"Orphans, Corruption, Careful Write, and Logging", by Ann W. Harrison and Jim Starkey. A frequent question on the Firebird Support list is "Gfix thinks my database is corrupt. How can I fix it?" The best answer may be to fix gfix itself so it reports benign errors differently from actual corruption. The most common errors reported by gfix can simply be ignored. From the beginning of InterBase to now, gfix is the least interesting of the utilities, so it's had little attention. However it requires a great deal of knowledge of database internals, so it's not easily replaced by a separately developed tool. So, from 1984 until now, gfix has reported major corruption and benign errors as if they were all the same.
What's a benign error? Usually, it's an artifact from the sudden death of a Firebird server that leaves obsolete record versions or even whole empty pages orphaned - neither released nor in use. Orphans represent lost space, but have no other damaging effect on the database. Orphaned record versions and pages occur because Firebird carefully orders its page writes to avoid the need for before or after logs. Database management systems that rely on logging for durability and recovery write each piece of data twice - once to a log and later to the database. Careful write requires discipline in programming. In 1984, careful write had performance advantages that more than made up for the need for careful programming.
This talk and paper explore the cause of "orphan" pages and record versions, Firebird's careful write I/O architecture, and the trade-offs between careful write and logging today.
Nbackup and Backup: Internals, Usage strategy and Pitfalls, by Dmitry Kuzmenk...Mind The Firebird
This document discusses NBackup and Backup strategies for Firebird databases. NBackup allows creating multiple incremental backups over time, taking up more disk space but enabling restoration to precise historical states. Backup is slower than NBackup but is still useful for tasks like database renewal. When database corruption occurs, restoration may fail due to logical data issues, so regular NBackup is recommended to minimize data loss risks.
This document summarizes the results of tests conducted on Firebird databases of varying sizes (small, medium, quite large, very large) to analyze how administrative tasks are impacted. The key findings are:
1) Gstat scans took 3 times longer when the database was active compared to inactive, significantly impacting user performance on RAID 10 systems. SSDs mitigated this performance hit.
2) Nbackup backups were faster without direct I/O enabled, with the time cost ranging from 1.2x to 22.5x depending on database size and activity.
3) Xcopy backups were significantly faster than Nbackup, with a time cost reduction of 1.2x to 5x depending on
Lucas Franzen presents on stored procedures in Firebird. He discusses what stored procedures are, why they are useful, how to write them, and common pitfalls. Stored procedures allow precompiled SQL functions and queries to be stored in a database for improved performance. They can be used to encapsulate business logic, centralize rules, and enhance security.
The document discusses installing and configuring Firebird on Linux. It describes installing from project packages such as RPM and tar.gz files, from distribution packages, or by building from source code. It also covers configuring services for classic or superserver modes using xinetd or systemd, checking the max open file settings, and optimizing the file system choices and settings.
Superchaging big production systems on Firebird: transactions, garbage, maint...Mind The Firebird
This document discusses tools from IBSurgeon for monitoring and optimizing transaction processing, garbage collection, and maintenance in large Firebird database systems. IBTM, IBAnalyst and FBScanner are used to identify issues like unnecessary transactions, growing data versions, and inefficient queries. Addressing problems with transaction management, indices tuning, and fixing application logic can help supercharge performance. IBSurgeon is offering their tools and services to conference attendees at a 25% discount.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
MySQL InnoDB Storage Engine: Deep Dive - MydbopsMydbops
This presentation, titled "MySQL - InnoDB" and delivered by Mayank Prasad at the Mydbops Open Source Database Meetup 16 on June 8th, 2024, covers dynamic configuration of REDO logs and instant ADD/DROP columns in InnoDB.
This presentation dives deep into the world of InnoDB, exploring two ground-breaking features introduced in MySQL 8.0:
• Dynamic Configuration of REDO Logs: Enhance your database's performance and flexibility with on-the-fly adjustments to REDO log capacity. Unleash the power of the snake metaphor to visualize how InnoDB manages REDO log files.
• Instant ADD/DROP Columns: Say goodbye to costly table rebuilds! This presentation unveils how InnoDB now enables seamless addition and removal of columns without compromising data integrity or incurring downtime.
Key Learnings:
• Grasp the concept of REDO logs and their significance in InnoDB's transaction management.
• Discover the advantages of dynamic REDO log configuration and how to leverage it for optimal performance.
• Understand the inner workings of instant ADD/DROP columns and their impact on database operations.
• Gain valuable insights into the row versioning mechanism that empowers instant column modifications.
From Natural Language to Structured Solr Queries using LLMsSease
This talk draws on experimentation to enable AI applications with Solr. One important use case is to use AI for better accessibility and discoverability of the data: while User eXperience techniques, lexical search improvements, and data harmonization can take organizations to a good level of accessibility, a structural (or “cognitive” gap) remains between the data user needs and the data producer constraints.
That is where AI – and most importantly, Natural Language Processing and Large Language Model techniques – could make a difference. This natural language, conversational engine could facilitate access and usage of the data leveraging the semantics of any data source.
The objective of the presentation is to propose a technical approach and a way forward to achieve this goal.
The key concept is to enable users to express their search queries in natural language, which the LLM then enriches, interprets, and translates into structured queries based on the Solr index’s metadata.
This approach leverages the LLM’s ability to understand the nuances of natural language and the structure of documents within Apache Solr.
The LLM acts as an intermediary agent, offering a transparent experience to users automatically and potentially uncovering relevant documents that conventional search methods might overlook. The presentation will include the results of this experimental work, lessons learned, best practices, and the scope of future work that should improve the approach and make it production-ready.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
AI in the Workplace Reskilling, Upskilling, and Future Work.pptxSunil Jagani
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Introducing BoxLang : A new JVM language for productivity and modularity!Ortus Solutions, Corp
Just like life, our code must adapt to the ever changing world we live in. From one day coding for the web, to the next for our tablets or APIs or for running serverless applications. Multi-runtime development is the future of coding, the future is to be dynamic. Let us introduce you to BoxLang.
Dynamic. Modular. Productive.
BoxLang redefines development with its dynamic nature, empowering developers to craft expressive and functional code effortlessly. Its modular architecture prioritizes flexibility, allowing for seamless integration into existing ecosystems.
Interoperability at its Core
With 100% interoperability with Java, BoxLang seamlessly bridges the gap between traditional and modern development paradigms, unlocking new possibilities for innovation and collaboration.
Multi-Runtime
From the tiny 2m operating system binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, Web Assembly, Android and more. BoxLang has been designed to enhance and adapt according to it's runnable runtime.
The Fusion of Modernity and Tradition
Experience the fusion of modern features inspired by CFML, Node, Ruby, Kotlin, Java, and Clojure, combined with the familiarity of Java bytecode compilation, making BoxLang a language of choice for forward-thinking developers.
Empowering Transition with Transpiler Support
Transitioning from CFML to BoxLang is seamless with our JIT transpiler, facilitating smooth migration and preserving existing code investments.
Unlocking Creativity with IDE Tools
Unleash your creativity with powerful IDE tools tailored for BoxLang, providing an intuitive development experience and streamlining your workflow. Join us as we embark on a journey to redefine JVM development. Welcome to the era of BoxLang.
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...AlexanderRichford
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation Functions to Prevent Interaction with Malicious QR Codes.
Aim of the Study: The goal of this research was to develop a robust hybrid approach for identifying malicious and insecure URLs derived from QR codes, ensuring safe interactions.
This is achieved through:
Machine Learning Model: Predicts the likelihood of a URL being malicious.
Security Validation Functions: Ensures the derived URL has a valid certificate and proper URL format.
This innovative blend of technology aims to enhance cybersecurity measures and protect users from potential threats hidden within QR codes 🖥 🔒
This study was my first introduction to using ML which has shown me the immense potential of ML in creating more secure digital environments!
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Essentials of Automations: Exploring Attributes & Automation Parameters
Continuous Database Monitoring with the Trace API
1. Continuous Database Monitoring with the
Trace API
Firebird Conference 2011 – Luxembourg
25.11.2011 – 26.11.2011
Thomas Steinmaurer DI
+43 7236 3343 896
thomas.steinmaurer@scch.at t.steinmaurer@upscene.com
www.scch.at www.upscene.com
http://blog.upscene.com/thomas/
The SCCH is an initiative of The SCCH is located at