Challenges operating and scaling GrapheneDB by Francisco Fernandez
•
0 likes•102 views
GrapheneDB is a DaaS (database as a service) that hosts Neo4j databases. In this talk we will explore how we manage our service to achieve high reliability and performance. We use a wide variety of tools, from Rust to Akka, always using the one that fits better with our problems and use cases.We are faced with many challenges related to scale both technically and as an organization
Report
Share
Report
Share
Download to read offline
Recommended
Pre-exascale Architectures: OpenPOWER Performance and Usability Assessment fo...
In this video from the NVIDIA GPU Technology Conference, Gabriel Hautreux from GENCI presents: Pre-exascale Architectures: OpenPOWER Performance and Usability Assessment for French Scientific Community.
"In order to prepare the scientific communities, GENCI and its partners have set up a technology watch group and lead collaborations with vendors, relying on HPC experts and early adopted HPC solutions. The two main objectives are providing guidance and prepare the scientific communities to challenges of exascale architectures. The talk will present the OpenPOWER platform bought by GENCI and provided to the scientific community. Then, it will present the first results obtained on the platform for a set of about 15 applications using all the solutions provided to the users (CUDA,OpenACC,OpenMP,...). Finally, a presentation about one specific application will be made regarding its porting effort and techniques used for GPUs with both OpenACC and OpenMP."
Watch the video: https://wp.me/p3RLHQ-iyl
Learn more: https://openpowerfoundation.org/
and
https://www.nvidia.com/en-us/gtc/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Clang Analyzer Tool Review
Clang Static Analyzer is an open source static analysis tool that was released in 2005 and is extensively used by Apple. It integrates with Xcode to identify possible runtime errors in code as it is being written in real time with minimal setup effort and no additional computing resources required. Clang is free to use, updated regularly, and while it will not find all errors, it provides suggestions to help improve code quality and catch syntax issues.
HDFView and HDF Java Products
This tutorial will introduce the three levels of the HDF-Java products: the HDF-Java wrapper (or Java Native Interfaces to the standard HDF libraries), the HDF-Java object package, and the HDFView. The Java wrapper provides standard Java APIs that allow applications to call the C HDF libraries from Java. The HDF-Java object package implements HDF data objects, e.g. Groups and Datasets, in an object-oriented form and makes it easy for applications to use the libraries. The HDFView is a visual tool for browsing and editing HDF4 and HDF5 files.
Poio API and GraF-XML @ Balisage 2013
This document discusses standards and tools for language documentation and annotation, including existing infrastructure, CLARIN, annotation graphs, the Graph Annotation Framework (GrAF) and Poio API. It provides an example of mapping annotations from an ELAN EAF file to GrAF-XML using the Poio API and discusses analysis workflows and the CLASS project.
NAG December 2012
NAG provides numerical libraries and compilers. Their presentation covered their product portfolio including numerical libraries for Fortran, C, MATLAB and .NET. They discussed recent updates, new features in the next release, and training available. They collaborate with academics and sponsor PhDs. The presentation provided an overview of NAG's products and services and encouraged questions.
OpenERP - Pentaho Integration, WillowIT
This document summarizes an integration between the open source business analytics tools Pentaho and the ERP system OpenERP. Pentaho provides reporting capabilities that can be leveraged within OpenERP. The implementation connects Pentaho's report designer to OpenERP's object interface and database through a custom module. This allows reports to use OpenERP data and be run from within OpenERP with parameters. The integration is still pre-beta but provides a way for consultants to easily create and run reports on OpenERP data without requiring OpenERP development skills.
Bsdtw17: johannes m dieterich: high performance computing and gpu acceleratio...
This document summarizes the current state of high performance computing (HPC) and GPU acceleration on FreeBSD. It outlines key aspects of HPC including typical hardware, operating systems, programming languages, parallelization techniques, software libraries, and challenges porting HPC applications to FreeBSD. It also discusses GPU acceleration using OpenCL and ROCm on FreeBSD and provides a wishlist for further improving support for HPC and accelerators on the FreeBSD platform.
GPCE16 Poster: Automatic Non-functional Testing of Code Generators Families
This document summarizes an approach for automatically testing the non-functional properties of code generated by code generators from a common input language or model across different target platforms. It proposes using system containers to execute the generated code and monitor runtime properties like execution time and memory usage. Differences in the monitored properties between implementations of the same program on different languages/platforms could indicate bugs or inefficiencies in the code generators.
Recommended
Pre-exascale Architectures: OpenPOWER Performance and Usability Assessment fo...
In this video from the NVIDIA GPU Technology Conference, Gabriel Hautreux from GENCI presents: Pre-exascale Architectures: OpenPOWER Performance and Usability Assessment for French Scientific Community.
"In order to prepare the scientific communities, GENCI and its partners have set up a technology watch group and lead collaborations with vendors, relying on HPC experts and early adopted HPC solutions. The two main objectives are providing guidance and prepare the scientific communities to challenges of exascale architectures. The talk will present the OpenPOWER platform bought by GENCI and provided to the scientific community. Then, it will present the first results obtained on the platform for a set of about 15 applications using all the solutions provided to the users (CUDA,OpenACC,OpenMP,...). Finally, a presentation about one specific application will be made regarding its porting effort and techniques used for GPUs with both OpenACC and OpenMP."
Watch the video: https://wp.me/p3RLHQ-iyl
Learn more: https://openpowerfoundation.org/
and
https://www.nvidia.com/en-us/gtc/
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Clang Analyzer Tool Review
Clang Static Analyzer is an open source static analysis tool that was released in 2005 and is extensively used by Apple. It integrates with Xcode to identify possible runtime errors in code as it is being written in real time with minimal setup effort and no additional computing resources required. Clang is free to use, updated regularly, and while it will not find all errors, it provides suggestions to help improve code quality and catch syntax issues.
HDFView and HDF Java Products
This tutorial will introduce the three levels of the HDF-Java products: the HDF-Java wrapper (or Java Native Interfaces to the standard HDF libraries), the HDF-Java object package, and the HDFView. The Java wrapper provides standard Java APIs that allow applications to call the C HDF libraries from Java. The HDF-Java object package implements HDF data objects, e.g. Groups and Datasets, in an object-oriented form and makes it easy for applications to use the libraries. The HDFView is a visual tool for browsing and editing HDF4 and HDF5 files.
Poio API and GraF-XML @ Balisage 2013
This document discusses standards and tools for language documentation and annotation, including existing infrastructure, CLARIN, annotation graphs, the Graph Annotation Framework (GrAF) and Poio API. It provides an example of mapping annotations from an ELAN EAF file to GrAF-XML using the Poio API and discusses analysis workflows and the CLASS project.
NAG December 2012
NAG provides numerical libraries and compilers. Their presentation covered their product portfolio including numerical libraries for Fortran, C, MATLAB and .NET. They discussed recent updates, new features in the next release, and training available. They collaborate with academics and sponsor PhDs. The presentation provided an overview of NAG's products and services and encouraged questions.
OpenERP - Pentaho Integration, WillowIT
This document summarizes an integration between the open source business analytics tools Pentaho and the ERP system OpenERP. Pentaho provides reporting capabilities that can be leveraged within OpenERP. The implementation connects Pentaho's report designer to OpenERP's object interface and database through a custom module. This allows reports to use OpenERP data and be run from within OpenERP with parameters. The integration is still pre-beta but provides a way for consultants to easily create and run reports on OpenERP data without requiring OpenERP development skills.
Bsdtw17: johannes m dieterich: high performance computing and gpu acceleratio...
This document summarizes the current state of high performance computing (HPC) and GPU acceleration on FreeBSD. It outlines key aspects of HPC including typical hardware, operating systems, programming languages, parallelization techniques, software libraries, and challenges porting HPC applications to FreeBSD. It also discusses GPU acceleration using OpenCL and ROCm on FreeBSD and provides a wishlist for further improving support for HPC and accelerators on the FreeBSD platform.
GPCE16 Poster: Automatic Non-functional Testing of Code Generators Families
This document summarizes an approach for automatically testing the non-functional properties of code generated by code generators from a common input language or model across different target platforms. It proposes using system containers to execute the generated code and monitor runtime properties like execution time and memory usage. Differences in the monitored properties between implementations of the same program on different languages/platforms could indicate bugs or inefficiencies in the code generators.
Introduction to PHP (SDPHP)
A very good presentation that has been used by a couple presenters of the SDPHP group, including myself. Takes you from the very basics of PHP to more advanced ideas like OOP.
Data Science Salon: A Journey of Deploying a Data Science Engine to Production
Presented by Mostafa Madjipour., Senior Data Scientist at Time Inc.
Next DSS NYC Event 👉 https://datascience.salon/newyork/
Next DSS LA Event 👉 https://datascience.salon/la/
Reducing the gap between R&D and production is still a challenge for data science/ machine learning engineering groups in many companies. Typically, data scientists develop the data-driven models in a research-oriented programming environment (such as R and python). Next, the data/machine learning engineers rewrite the code (typically in another programming language) in a way that is easy to integrate with production services.
This process has some disadvantages: 1) It is time consuming; 2) slows the impact of data science team on business; 3) code rewriting is prone to errors.
A possible solution to overcome the aforementioned disadvantages would be to implement a deployment strategy that easily embeds/transforms the model created by data scientists. Packages such as jPMML, MLeap, PFA, and PMML among others are developed for this purpose.
In this talk we review some of the mentioned packages, motivated by a project at Time Inc. The project involves development of a near real-time recommender system, which includes a predictor engine, paired with a set of business rules.
Ceph Day New York: Ceph: one decade in
Ceph is an open-source distributed storage system that began as a research project in 2005. It has grown significantly since then, with the founding of Inktank in 2012 to support Ceph's development and commercial adoption. Key developments include the native Linux kernel client, erasure coding support, asynchronous replication, and improvements to CephFS. The future of Ceph includes stronger governance, a focus on performance and low-power architectures, integration with big data workloads, and use as an archival storage solution.
Ceph: A decade in the making and still going strong
Ceph is an open source distributed storage system that has been in development for over a decade. It started as a research project at UC Santa Cruz to build scalable object storage. Over the years, it has grown to include distributed block storage, file storage and an S3-compatible object store. Ceph is now used in many production deployments and has a thriving developer community, though continued work is needed to improve areas like CephFS and add new features around erasure coding, tiering and replication. The future of Ceph involves strengthening governance, expanding the ecosystem, improving performance and gaining more adoption in enterprise storage environments.
Angular (v2 and up) - Morning to understand - Linagora
Slides of the talk about Angular, at the "Matinée Pour Comprendre" organized by Linagora the 22/03/17.
Discover what's new in Angular, why is it more than just a framework (platform) and how to manage your data with RxJs and Redux.
Introduction to Apache Flink
This document provides an overview and introduction to Apache Flink, a stream-based big data processing engine. It discusses the evolution of big data frameworks to platforms and the shortcomings of Spark's RDD abstraction for streaming workloads. The document then introduces Flink, covering its history, key differences from Spark like its use of streaming as the core abstraction, and examples of using Flink for batch and stream processing.
Cloud-Native .Net des applications containerisées .Net sur Linux, Windows e...
Pivotal Paris 2019: Cloud-Native Track
Cloud-Native .Net des applications containerisées .Net sur Linux, Windows et tous les clouds
Cloud Native API Design and Management
This presentation is an overview of the API design and management solutions suitable for Cloud Native Environments. This main focus lies on synchronous API design and micro services.
FIWARE Tech Summit - Stream Processing with Kurento Media Server
Presentation by Juan A. Martinez Navarro
Representative, Odin Solutions S.L.
FIWARE Tech Summit
28-29 November, 2017
Malaga, Spain
LAS16-108: JerryScript and other scripting languages for IoT
LAS16-108: JerryScript and other scripting languages for IoT
Speakers: Paul Sokolovsky
Date: September 26, 2016
★ Session Description ★
Overview of small-size/low-resource VHLL (very high-level languages)/scripting languages available for embedded/IoT usage (JavaScript, Python, Lua, etc.). Typical/possible usage scenarios and benefits. Challenges of running VHLLs in deeply embedded/very resource-constrained environments. Progress reports on porting JerryScript to Zephyr. (Possibly, architecture comparison of JerryScript and MicroPython).
★ Resources ★
Etherpad: pad.linaro.org/p/las16-108
Presentations & Videos: http://connect.linaro.org/resource/las16/las16-108/
★ Event Details ★
Linaro Connect Las Vegas 2016 – #LAS16
September 26-30, 2016
http://www.linaro.org
http://connect.linaro.org
Wc13
PHP is a widely used scripting language, powering over 77% of websites with known server-side programming languages. It was created in 1994 and continues to be actively developed and maintained. Some key facts about PHP include its long history, large ecosystem of frameworks and libraries, and continued improvements in performance and features through projects like HHVM.
Powering tensor flow with big data using apache beam, flink, and spark cern...
This document summarizes Holden Karau's presentation on powering TensorFlow with big data using Apache Beam, Apache Spark, and Apache Flink. The presentation covers why deep learning requires large datasets for training, how to prepare features from big data for TensorFlow using TensorFlow Transform, and how TensorFlow Transform can run on Apache Beam and integrate feature preparation into model serving. It also discusses challenges in integrating Python and big data systems beyond the Java Virtual Machine and efforts to improve cross-language interoperability.
Ceph Day SF 2015 - Keynote
Ceph has been in development for over a decade since its beginnings as a research project at UC Santa Cruz in the 2000s. It was incubated at DreamHost and later spun out to form Inktank to build Ceph into an enterprise-grade open source storage platform. Key developments included the RADOS distributed object store, librados client library, RBD block device, and S3-compatible radosgw object store. Ceph now has a large community and is used in many production deployments, with continued work to improve performance, add new features like erasure coding, and expand its capabilities for big data and the enterprise.
Joel_2015
This resume summarizes Joel Chelliah's technical skills and experience. He has over 6 years of experience in server administration using technologies like Linux, Windows, PHP, and MySQL. His roles have included system administrator, field service engineer, and technical lead. He is proficient in English, Malay, and Tamil and holds certifications in ITIL and Administering Windows Server 2012.
Joel_2015
This resume summarizes Joel Chelliah's technical skills and experience. He has over 6 years of experience in server administration using technologies like Linux, Windows, PHP, and MySQL. His roles have included system administrator, field service engineer, and technical lead. He is proficient in English, Malay, and Tamil and holds certifications in ITIL and Administering Windows Server 2012.
Joel_2015
This resume summarizes Joel Chelliah's technical skills and experience. He has over 6 years of experience in server administration using technologies like Linux, Windows, PHP, and MySQL. His roles have included system administrator, field service engineer, and technical lead. He is proficient in English, Malay, and Tamil and holds certifications in ITIL and Administering Windows Server 2012.
Joel_2015
This resume summarizes Joel Chelliah's technical skills and experience. He has over 6 years of experience in server administration using technologies like Linux, Windows, PHP, and MySQL. His roles have included system administrator, field service engineer, and technical lead. He is proficient in English, Malay, and Tamil and holds certifications in ITIL and Administering Windows Server 2012.
Joel_2015
This resume summarizes Joel Chelliah's technical skills and experience. He has over 6 years of experience in server administration using technologies like Linux, Windows, PHP, and MySQL. His roles have included system administrator, field service engineer, and technical lead. He is proficient in English, Malay, and Tamil and holds certifications in ITIL and Microsoft server administration.
Resume_YanyanYu
Yanyan Yu is seeking a position as a Developer Engineer with over 7 years of experience in Java and Oracle database development. She has worked as a Principal Software Engineer at Thomson Reuters developing projects using Java, Spring, Avro, and moving existing projects to big data platforms using HBase and Hadoop. Prior to that, she was a Senior Software Engineer at Oracle developing automation testing scripts using Python and Shell. She received her Master's degree in Computer System Structure from Nanjing University of Science and Technology.
Introduction to PHP - SDPHP
This document provides an introduction to PHP by summarizing its history and key features. PHP was created in 1994 by Rasmus Lerdorf as a set of Common Gateway Interface scripts for tracking visits to his online resume. It has since evolved into a full-featured programming language used widely by major companies like Google, Facebook, and Bank of America. The document outlines PHP's core syntax like variables, constants, includes, and flow control structures. It also discusses databases, MVC patterns, classes, and tools that employers seek like contributions to open source projects.
Massively scalable ETL in real world applications: the hard way
Big Data examples always give the correct answers. However, in the real world, Big Data might be corrupt, contradictory or consist of so many small files it becomes extremely hard to keep track - let alone scale. A solid architecture will help to overcome many of the difficulties.
Floris will talk about a real-world implementation of a massively scalable ETL architecture. Two years ago, at the time of the implementation, Airflow just became part of Apache and still left many features to be desired for. However, requirements from the start were thousands of ETL tasks per day on average, but on occasion, this could become hundreds of thousands. The script-based method that was in place was already not capable to meet the requirements on a day to day basis and needed to be replaced as soon as possible. So this custom framework was rolled out in just 8 weeks of development time.
Big Data On Data You Don’t Have
Traditional Big Data is done on Data you have. You load the data into a repository and perform map reduce or other style calculations on the data. However, certain industries need to perform complex operations on data you might not have. Data you can acquire, Data that can be shared with you, and Data that you can model are all types of data you may not have but may need to integrate instantly into a complex data analysis. Problem is: you may not even know you need this data until deep into the execution stack at runtime. This talk discusses a new functional language paradigm for dealing naturally with data you don’t have and about how to make all data first-class citizens, regardless of whether you have it or you don’t, and we will give a demo of a project written in Scala to deal exactly with this issue.
More Related Content
Similar to Challenges operating and scaling GrapheneDB by Francisco Fernandez
Introduction to PHP (SDPHP)
A very good presentation that has been used by a couple presenters of the SDPHP group, including myself. Takes you from the very basics of PHP to more advanced ideas like OOP.
Data Science Salon: A Journey of Deploying a Data Science Engine to Production
Presented by Mostafa Madjipour., Senior Data Scientist at Time Inc.
Next DSS NYC Event 👉 https://datascience.salon/newyork/
Next DSS LA Event 👉 https://datascience.salon/la/
Reducing the gap between R&D and production is still a challenge for data science/ machine learning engineering groups in many companies. Typically, data scientists develop the data-driven models in a research-oriented programming environment (such as R and python). Next, the data/machine learning engineers rewrite the code (typically in another programming language) in a way that is easy to integrate with production services.
This process has some disadvantages: 1) It is time consuming; 2) slows the impact of data science team on business; 3) code rewriting is prone to errors.
A possible solution to overcome the aforementioned disadvantages would be to implement a deployment strategy that easily embeds/transforms the model created by data scientists. Packages such as jPMML, MLeap, PFA, and PMML among others are developed for this purpose.
In this talk we review some of the mentioned packages, motivated by a project at Time Inc. The project involves development of a near real-time recommender system, which includes a predictor engine, paired with a set of business rules.
Ceph Day New York: Ceph: one decade in
Ceph is an open-source distributed storage system that began as a research project in 2005. It has grown significantly since then, with the founding of Inktank in 2012 to support Ceph's development and commercial adoption. Key developments include the native Linux kernel client, erasure coding support, asynchronous replication, and improvements to CephFS. The future of Ceph includes stronger governance, a focus on performance and low-power architectures, integration with big data workloads, and use as an archival storage solution.
Ceph: A decade in the making and still going strong
Ceph is an open source distributed storage system that has been in development for over a decade. It started as a research project at UC Santa Cruz to build scalable object storage. Over the years, it has grown to include distributed block storage, file storage and an S3-compatible object store. Ceph is now used in many production deployments and has a thriving developer community, though continued work is needed to improve areas like CephFS and add new features around erasure coding, tiering and replication. The future of Ceph involves strengthening governance, expanding the ecosystem, improving performance and gaining more adoption in enterprise storage environments.
Angular (v2 and up) - Morning to understand - Linagora
Slides of the talk about Angular, at the "Matinée Pour Comprendre" organized by Linagora the 22/03/17.
Discover what's new in Angular, why is it more than just a framework (platform) and how to manage your data with RxJs and Redux.
Introduction to Apache Flink
This document provides an overview and introduction to Apache Flink, a stream-based big data processing engine. It discusses the evolution of big data frameworks to platforms and the shortcomings of Spark's RDD abstraction for streaming workloads. The document then introduces Flink, covering its history, key differences from Spark like its use of streaming as the core abstraction, and examples of using Flink for batch and stream processing.
Cloud-Native .Net des applications containerisées .Net sur Linux, Windows e...
Pivotal Paris 2019: Cloud-Native Track
Cloud-Native .Net des applications containerisées .Net sur Linux, Windows et tous les clouds
Cloud Native API Design and Management
This presentation is an overview of the API design and management solutions suitable for Cloud Native Environments. This main focus lies on synchronous API design and micro services.
FIWARE Tech Summit - Stream Processing with Kurento Media Server
Presentation by Juan A. Martinez Navarro
Representative, Odin Solutions S.L.
FIWARE Tech Summit
28-29 November, 2017
Malaga, Spain
LAS16-108: JerryScript and other scripting languages for IoT
LAS16-108: JerryScript and other scripting languages for IoT
Speakers: Paul Sokolovsky
Date: September 26, 2016
★ Session Description ★
Overview of small-size/low-resource VHLL (very high-level languages)/scripting languages available for embedded/IoT usage (JavaScript, Python, Lua, etc.). Typical/possible usage scenarios and benefits. Challenges of running VHLLs in deeply embedded/very resource-constrained environments. Progress reports on porting JerryScript to Zephyr. (Possibly, architecture comparison of JerryScript and MicroPython).
★ Resources ★
Etherpad: pad.linaro.org/p/las16-108
Presentations & Videos: http://connect.linaro.org/resource/las16/las16-108/
★ Event Details ★
Linaro Connect Las Vegas 2016 – #LAS16
September 26-30, 2016
http://www.linaro.org
http://connect.linaro.org
Wc13
PHP is a widely used scripting language, powering over 77% of websites with known server-side programming languages. It was created in 1994 and continues to be actively developed and maintained. Some key facts about PHP include its long history, large ecosystem of frameworks and libraries, and continued improvements in performance and features through projects like HHVM.
Powering tensor flow with big data using apache beam, flink, and spark cern...
This document summarizes Holden Karau's presentation on powering TensorFlow with big data using Apache Beam, Apache Spark, and Apache Flink. The presentation covers why deep learning requires large datasets for training, how to prepare features from big data for TensorFlow using TensorFlow Transform, and how TensorFlow Transform can run on Apache Beam and integrate feature preparation into model serving. It also discusses challenges in integrating Python and big data systems beyond the Java Virtual Machine and efforts to improve cross-language interoperability.
Ceph Day SF 2015 - Keynote
Ceph has been in development for over a decade since its beginnings as a research project at UC Santa Cruz in the 2000s. It was incubated at DreamHost and later spun out to form Inktank to build Ceph into an enterprise-grade open source storage platform. Key developments included the RADOS distributed object store, librados client library, RBD block device, and S3-compatible radosgw object store. Ceph now has a large community and is used in many production deployments, with continued work to improve performance, add new features like erasure coding, and expand its capabilities for big data and the enterprise.
Joel_2015
This resume summarizes Joel Chelliah's technical skills and experience. He has over 6 years of experience in server administration using technologies like Linux, Windows, PHP, and MySQL. His roles have included system administrator, field service engineer, and technical lead. He is proficient in English, Malay, and Tamil and holds certifications in ITIL and Administering Windows Server 2012.
Joel_2015
This resume summarizes Joel Chelliah's technical skills and experience. He has over 6 years of experience in server administration using technologies like Linux, Windows, PHP, and MySQL. His roles have included system administrator, field service engineer, and technical lead. He is proficient in English, Malay, and Tamil and holds certifications in ITIL and Administering Windows Server 2012.
Joel_2015
This resume summarizes Joel Chelliah's technical skills and experience. He has over 6 years of experience in server administration using technologies like Linux, Windows, PHP, and MySQL. His roles have included system administrator, field service engineer, and technical lead. He is proficient in English, Malay, and Tamil and holds certifications in ITIL and Administering Windows Server 2012.
Joel_2015
This resume summarizes Joel Chelliah's technical skills and experience. He has over 6 years of experience in server administration using technologies like Linux, Windows, PHP, and MySQL. His roles have included system administrator, field service engineer, and technical lead. He is proficient in English, Malay, and Tamil and holds certifications in ITIL and Administering Windows Server 2012.
Joel_2015
This resume summarizes Joel Chelliah's technical skills and experience. He has over 6 years of experience in server administration using technologies like Linux, Windows, PHP, and MySQL. His roles have included system administrator, field service engineer, and technical lead. He is proficient in English, Malay, and Tamil and holds certifications in ITIL and Microsoft server administration.
Resume_YanyanYu
Yanyan Yu is seeking a position as a Developer Engineer with over 7 years of experience in Java and Oracle database development. She has worked as a Principal Software Engineer at Thomson Reuters developing projects using Java, Spring, Avro, and moving existing projects to big data platforms using HBase and Hadoop. Prior to that, she was a Senior Software Engineer at Oracle developing automation testing scripts using Python and Shell. She received her Master's degree in Computer System Structure from Nanjing University of Science and Technology.
Introduction to PHP - SDPHP
This document provides an introduction to PHP by summarizing its history and key features. PHP was created in 1994 by Rasmus Lerdorf as a set of Common Gateway Interface scripts for tracking visits to his online resume. It has since evolved into a full-featured programming language used widely by major companies like Google, Facebook, and Bank of America. The document outlines PHP's core syntax like variables, constants, includes, and flow control structures. It also discusses databases, MVC patterns, classes, and tools that employers seek like contributions to open source projects.
Similar to Challenges operating and scaling GrapheneDB by Francisco Fernandez (20)
Data Science Salon: A Journey of Deploying a Data Science Engine to Production
Data Science Salon: A Journey of Deploying a Data Science Engine to Production
Ceph: A decade in the making and still going strong
Ceph: A decade in the making and still going strong
Angular (v2 and up) - Morning to understand - Linagora
Angular (v2 and up) - Morning to understand - Linagora
Cloud-Native .Net des applications containerisées .Net sur Linux, Windows e...
Cloud-Native .Net des applications containerisées .Net sur Linux, Windows e...
FIWARE Tech Summit - Stream Processing with Kurento Media Server
FIWARE Tech Summit - Stream Processing with Kurento Media Server
LAS16-108: JerryScript and other scripting languages for IoT
LAS16-108: JerryScript and other scripting languages for IoT
Powering tensor flow with big data using apache beam, flink, and spark cern...
Powering tensor flow with big data using apache beam, flink, and spark cern...
More from J On The Beach
Massively scalable ETL in real world applications: the hard way
Big Data examples always give the correct answers. However, in the real world, Big Data might be corrupt, contradictory or consist of so many small files it becomes extremely hard to keep track - let alone scale. A solid architecture will help to overcome many of the difficulties.
Floris will talk about a real-world implementation of a massively scalable ETL architecture. Two years ago, at the time of the implementation, Airflow just became part of Apache and still left many features to be desired for. However, requirements from the start were thousands of ETL tasks per day on average, but on occasion, this could become hundreds of thousands. The script-based method that was in place was already not capable to meet the requirements on a day to day basis and needed to be replaced as soon as possible. So this custom framework was rolled out in just 8 weeks of development time.
Big Data On Data You Don’t Have
Traditional Big Data is done on Data you have. You load the data into a repository and perform map reduce or other style calculations on the data. However, certain industries need to perform complex operations on data you might not have. Data you can acquire, Data that can be shared with you, and Data that you can model are all types of data you may not have but may need to integrate instantly into a complex data analysis. Problem is: you may not even know you need this data until deep into the execution stack at runtime. This talk discusses a new functional language paradigm for dealing naturally with data you don’t have and about how to make all data first-class citizens, regardless of whether you have it or you don’t, and we will give a demo of a project written in Scala to deal exactly with this issue.
Acoustic Time Series in Industry 4.0: Improved Reliability and Cyber-Security...
Industry 4.0, aka the "Fourth Industrial Revolution," refers to the computerization of manufacturing. One important aspect of Industry 4.0 is the ability to monitor the health and reliability of a physical manufacturing plant using low-cost IoT sensors. For example, machine learning models can be trained to predict the physical degradation of a manufacturing system as a function of acoustic measurements obtained from strategically placed microphones; however, the same acoustic measurements can be used to reverse engineer proprietary information about the manufacturing process and/or precisely what is being manufactured at the time of recording. Thus, improved reliability and fault tolerance is achieved at the cost of what appears to be an unprecedented new class of security vulnerabilities related to the acoustic side channel.
As a case study, we report a novel acoustic side channel attack against a commercial DNA synthesizer, a commonly used instrument in fields such as synthetic biology. Using a smart phone-quality microphone placed on or in the near vicinity of a DNA synthesizer, we were able to determine with 88.07% accuracy the sequence of DNA being produced; using a database of biologically relevant known-sequences, we increased the accuracy of our model to 100%. An academic or industrial research project may use the synthetic DNA to engineer an organism with desired traits or functions; however, while the organism is still under development, prior to publication, patent, and/or copyright, the research remains vulnerable to academic intellectual property theft and/or industrial espionage. On the other hand, this attack could also be used for benevolent purposes, for example, to determine whether a suspected criminal or terrorist is engineering a harmful pathogen. Thus, it is essential to recognize both the benefits and risks inherent to the cyber-physical systems that will inevitably control Industry 4.0 manufacturing processes and to take steps to mitigate them whenever possible.
Pushing it to the edge in IoT
Where is the edge in IoT and how much can you do there? Data collection? Analytics? I’ll show you how to build and deploy an embedded IoT edge platform that can do data collection, analytics, dashboarding and much more. All using Open Source.
As IoT deployments move forward, the need to collect, analyze, and respond to data further out on the edge becomes a critical factor in the success – or failure – of any IoT project. Network bandwidth costs may be dropping, and storage is cheaper than ever, but at IoT scale, these costs can still quickly overrun a project’s budget and ultimately doom it to failure.
The more you centralize your data collection and storage, the higher these costs become. Edge data collection and analysis can dramatically lower these costs, plus decrease the time to react to critical sensor data. With most data platforms, it simply isn’t practical, or even possible, to push collection AND analytics to the edge. In this talk I’ll show how I’ve done exactly this with a combination of open source hardware – Pine64 – and open source software – InfluxDB – to build a practical, efficient and scalable data collection and analysis gateway device for IoT deployments. The edge is where the data is, so the edge is where the data collection and analytics needs to be.
Drinking from the firehose, with virtual streams and virtual actors
Event Stream Processing is a popular paradigm for building robust and performant systems in many different domains, from IoT to fraud detection to high-frequency trading. Because of the wide range of scenarios and requirements, it is difficult to conceptualize a unified programming model that would be equally applicable to all of them. Another tough challenge is how to build streaming systems with cardinalities of topics ranging from hundreds to billions while delivering good performance and scalability.
In this session, Sergey Bykov will talk about the journey of building Orleans Streams that originated in gaming and monitoring scenarios, and quickly expanded beyond them. He will cover the programming model of virtual streams that emerged as a natural extension of the virtual actor model of Orleans, the architecture of the underlying runtime system, the compromises and hard choices made in the process. Sergey will share the lessons learned from the experience of running the system in production, and future ideas and opportunities that remain to be explored.
How do we deploy? From Punched cards to Immutable server pattern
A short retrospective of deployment approaches evolution and the key features of the most up-to-date concepts.
Java, Turbocharged
Over the last twenty years, there has been a paradigm shift in software development: from meticulously planned release cycles to an experimental way of working in which lead times are becoming shorter and shorter.
How can Java ever keep up with this trend when we have Docker containers that are several hundred megabytes in size, with warm-up times of ten minutes or longer? In this talk, I'll demonstrate how we can use Quarkus so that we can create super small, super fast Java containers! This will give us better possibilities for scaling up and down - which can be a game-changer, especially in a serverless environment. It will also provide the shortest possible lead times, as well as a much better use of cloud performance with the added bonus of lower costs.
When Cloud Native meets the Financial Sector
We live in our own bubble of microservices and endlessly horizontal scaling infrastructure, but there is still critical infrastructure that runs the world of financial systems depending on Windows boxes, FTP servers, and single-threaded protocols. This talk is about how to glue these two worlds together, what works for us and what doesn't.
The big data Universe. Literally.
The document discusses the challenges of big data in astronomy. It describes several upcoming and current astronomical surveys that will produce enormous amounts of data, such as Euclid which will collect 15 terabytes per day starting in 2022. Dealing with such large datasets requires new techniques for storage, processing, analyzing, classifying, compressing and visualizing the data. Machine learning and citizen science are helping to process the data more efficiently. Future surveys like the Square Kilometer Array telescope will pose even greater challenges by producing data at terabytes per second.
Streaming to a New Jakarta EE
The world is moving from a model where data sits at rest, waiting for people to make requests of it, to where data is constantly moving and streams of data flow to and from devices with or without human interaction. Decisions need to be made based on these streams of data in real-time, models need to be updated, and intelligence needs to be gathered. In this context, our old-fashioned approach of CRUD REST APIs serving CRUD database calls just doesn't cut it. It's time we moved to a stream-centric view of the world.
The TIPPSS Imperative for IoT - Ensuring Trust, Identity, Privacy, Protection...
Our increasingly connected world leveraging the Internet of Things (IoT) creates great value, in connected healthcare, smart cities, and more. The increasing use of IoT also creates great risk. We will discuss the challenges and risks we need to address as developers in TIPPSS - Trust, Identity, Privacy, Protection, Safety, and Security - for devices, systems and solutions we deliver and use. Florence leads IEEE workstreams on clinical IoT and data interoperability with blockchain addressing TIPPSS issues. She is an author of IEEE articles on "Enabling Trust and Security - TIPPSS for IoT" and "Wearables and Medical Interoperability - the Evolving Frontier", "TIPPSS for Smart Cities" in the 2017 book "Creating, Analysing and Sustaining Smarter Cities: A Systems Perspective" , and Editor in Chief for an upcoming book on "Women Securing the Future with TIPPSS for IoT."
Pushing AI to the Client with WebAssembly and Blazor
Want to run your AI algorithms directly in the browser on the client-side? Now you can with WebAssembly and Blazor. Join us as we write code directly in WebAssembly. Then, we’ll look at Blazor and how you can use it, along with WebAssembly to run your tooling client side in the browser.
Want to run your AI algorithms directly in the browser on the client-side without the need for transpilers or browser plug-ins? Well, now you can with WebAssembly and Blazor. WebAssembly (WASM) is the W3C specification that will be used to provide the next generation of development tools for the web and beyond. Blazor is Microsoft’s experiment that allows ASP.Net developers to create web pages that do much of the scripting work in C# using WASM. Come join us as we learn to write code directly in WebAssembly’s human-readable format. Then, we’ll look at the current state of Blazor and how you can use it, along with WebAssembly to run your tooling client side in the browser.
Axon Server went RAFTing
RAFT protocol is a well-known protocol for consensus in Distributed Systems. Want to learn how consensus is achieved in a system with a large amount of data such as Axon Server’s Event Store? Join this talk to hear about all specifics regarding data replication in highly available Event Store!
Axon is a free and open source Java framework for writing Java applications following DDD, event sourcing, and CQRS principles. While especially useful in a microservices context, Axon provides great value in building structured monoliths that can be broken down into microservices when needed.
Axon Server is a messaging platform specifically built to support distributed Axon applications. One of its key benefits is storing events published by Axon applications. In not so rare cases, the number of these events is over millions, even billions. Availability of Axon Server plays a significant role in the product portfolio. To keep event replication reliable we chose RAFT protocol for consensus implementation of our clustering features.
In short, consensus involves multiple servers agreeing on values. Once they reach a decision on a value, that decision is final. Typical consensus algorithms make progress when any majority of their servers is available; for example, a cluster of 5 servers can continue to operate even if 2 servers fail. If more servers fail, they stop making progress (but will never return an incorrect result).
Join this talk to learn why we chose RAFT; what were our findings during the design, the implementation, and testing phase; and what does it mean to replicate an event store holding billions of events!
The Six Pitfalls of building a Microservices Architecture (and how to avoid t...
Thinking of moving to Microservices? Watch out! That quest is full of traps, social traps. If you are not able to handle it, you may be blocked by meetings, frustration, endless challenges that will make you miss the monolith. In this talk, I share my experience and mistakes, so you can avoid them.
Creating or migrating to a Microservices architecture might easily become a big mess, not only due to technical challenges but mostly because of human factors: it’s a major change in the software culture of a company. In this talk, I’ll share my past experience as the technical lead of an ambitious Microservices-based product, I’ll go through the parts we struggled with, and give you some advice on how to deal with what I call the Six Pitfalls:
The Common Patterns Phobia
The Book Club Cult
The Never-Decoupled Story
The Buzz Words Syndrome
The Agile Trap
The Conway’s Law Hackers
Madaari : Ordering For The Monkeys
Instead of randomly injecting faults ( i.e. Chaos Monkey), what if we could order our experiments to perform min number of experiments for maximum yield? We present a solution(& results) to the problem of experiment selection using Lineage Driven Fault Injection to reduce the search space of faults.
Lineage Driven Fault Injection (LDFI) is a state of the art technique in chaos engineering experiment selection. LDFI since its inception has used an SAT solver under the hood which presents solutions to the decision problem (which faults to inject) in no particular order. As SRE’s we would like to perform experiments that reveal the bugs that the customers are most likely to hit first. In this talk, we present new improvements to LDFI that orders the experiment suggestions.
In the first the half of the talk we will show LDFI is a technique that can be widely used within an enterprise. We present the motivation for ordering the chaos experiments along with some prioritization we utilized while conducting the experiments. We also highlight how ordering is a general purpose technique that we can use to encode the peculiarities of a heterogeneous microservices architecture. LDFI can work in an enterprise by harnessing the observability infrastructure to model the redundancy of the system.
Next, we present experiments conducted within our organization using ordered LDFI and some preliminary results. We show examples of services where we discovered bugs, and how carefully controlling the order of experiments allowed LDFI to avoid running unnecessary experiments. We also present an example of an application where we declared the service shippable under crash stop model. We also present a comparison with Chaos Monkey and show how LDFI found the known bugs in a given application using orders of magnitude fewer experiments than a random fault injection tool like Chaos Monkey.
Finally, we discuss how we plan to take LDFI forward. We discuss open problems and possible solutions for scalarizing probabilities of failure, latency injection, integration with service mesh technologies like envoy for fine-grained fault injection, fault injection for stateful systems.
Key takeaways: 1) Understand how LDFI can be integrated in the enterprise by harnessing the observability infrastructure. 2) Limitations of LDFI w.r.t unordered solutions and why ordering matters for chaos engineering experiments. 3) Preliminary results of prioritized LDFI and a future direction for the community.
Servers are doomed to fail
Complexity in systems should be defeated if it is possible to do. But the default nature of our computer systems are complex and servers are doomed to fail. In this talk, we will go through new approaches in modern architectures to design and evaluate new computer systems.
Interaction Protocols: It's all about good manners
Distributed systems collaborate to achieve collective goals via a system of rules. Rules that affords good hygiene, fault tolerance, effective communication and trusted feedback. These rules form protocols which enable the system to achieve its goals.
Distributed and concurrent systems can be considered a social group that collaborates to achieve collective goals. In order to collaborate a system of rules must be applied, that affords good hygiene, fault tolerance, and effective communication to coordinate, share knowledge, and provide feedback in a polite trusted manner. These rules form a number of protocols which enable the group to act as a system which is greater than the sum of the individual components.
In this talk, we will explore the history of protocols and their application when building distributed systems.
A race of two compilers: GraalVM JIT versus HotSpot JIT C2. Which one offers ...
Do you want to check the efficiency of the new, state of the art, GraalVM JIT Compiler in comparison to the old but mostly used JIT C2? Let’s have a side by side comparison from a performance standpoint on the same source code.
The talk reveals how traditional Just In Time Compiler (e.g. JIT C2) from HotSpot/OpenJDK internally manages runtime optimizations for hot methods in comparison to the new, state of the art, GraalVM JIT Compiler on the same source code, emphasizing all of the internals and strategies used by each Compiler to achieve better performance in most common situations (or code patterns). For each optimization, there is Java source code and corresponding generated assembly code in order to prove what really happens under the hood.
Each test is covered by a dedicated benchmark (JMH), timings and conclusions. Main topics of the agenda: - Scalar replacement - Null Checks - Virtual calls - Lock coarsening - Lock elision - Virtual calls - Scalar replacement - Lambdas - Vectorization (few cases)
The tools used during my research study are JITWatch, Java Measurement Harness, and perf. All test scenarios will be launched against the latest official Java release (e.g. version 11).
Leadership at every level
Leadership is easy when you're a manager, or an expert in a field, or a conference speaker! In a Kanban organisation, though, we "encourage acts of leadership at every level". In this talk, we look at what it means to be a leader in the uncertain, changing and high-learning environment of software development. We learn about the importance of safety in encouraging others to lead and follow, and how to get that safety using both technical and human practices; the necessity of a clear, compelling vision and provision of information on how we're achieving it; and the need to be able to ask awkward and difficult questions... especially the ones without easy answers.
Machine Learning: The Bare Math Behind Libraries
During this presentation, we will answer how much you’ll need to invest in a superhero costume to be as popular as Superman. We will generate a unique logo which will stand against the ever popular Batman and create new superhero teams. We shall achieve it using linear regression and neural networks.
Machine learning is one of the hottest buzzwords in technology today as well as one of the most innovative fields in computer science – yet people use libraries as black boxes without basic knowledge of the field. In this session, we will strip them to bare math, so next time you use a machine learning library, you’ll have a deeper understanding of what lies underneath.
During this session, we will first provide a short history of machine learning and an overview of two basic teaching techniques: supervised and unsupervised learning.
We will start by defining what machine learning is and equip you with an intuition of how it works. We will then explain the gradient descent algorithm with the use of simple linear regression to give you an even deeper understanding of this learning method. Then we will project it to supervised neural networks training.
Within unsupervised learning, you will become familiar with Hebb’s learning and learning with concurrency (winner takes all and winner takes most algorithms). We will use Octave for examples in this session; however, you can use your favourite technology to implement presented ideas.
Our aim is to show the mathematical basics of neural networks for those who want to start using machine learning in their day-to-day work or use it already but find it difficult to understand the underlying processes. After viewing our presentation, you should find it easier to select parameters for your networks and feel more confident in your selection of network type, as well as be encouraged to dive into more complex and powerful deep learning methods.
More from J On The Beach (20)
Massively scalable ETL in real world applications: the hard way
Massively scalable ETL in real world applications: the hard way
Acoustic Time Series in Industry 4.0: Improved Reliability and Cyber-Security...
Acoustic Time Series in Industry 4.0: Improved Reliability and Cyber-Security...
Drinking from the firehose, with virtual streams and virtual actors
Drinking from the firehose, with virtual streams and virtual actors
How do we deploy? From Punched cards to Immutable server pattern
How do we deploy? From Punched cards to Immutable server pattern
The TIPPSS Imperative for IoT - Ensuring Trust, Identity, Privacy, Protection...
The TIPPSS Imperative for IoT - Ensuring Trust, Identity, Privacy, Protection...
Pushing AI to the Client with WebAssembly and Blazor
Pushing AI to the Client with WebAssembly and Blazor
The Six Pitfalls of building a Microservices Architecture (and how to avoid t...
The Six Pitfalls of building a Microservices Architecture (and how to avoid t...
Interaction Protocols: It's all about good manners
Interaction Protocols: It's all about good manners
A race of two compilers: GraalVM JIT versus HotSpot JIT C2. Which one offers ...
A race of two compilers: GraalVM JIT versus HotSpot JIT C2. Which one offers ...
Recently uploaded
KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
Charla impartida en el evento de "KuberTENes Birthday Bash Guadalajara" para celebrar el 10mo. aniversario de Kubernetes #kuberTENes #celebr8k8s #k8s
APIs for Browser Automation (MoT Meetup 2024)
APIs for Browser Automation:
Selenium, Cypress, Puppeteer, and Playwright. Ministry of Testing Athens. Meetup on the Beach. 30 May 2024.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
E-commerce Development Services- Hornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
Transform Your Communication with Cloud-Based IVR Solutions
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
LORRAINE ANDREI_LEQUIGAN_HOW TO USE WHATSAPP.pptx
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
SWEBOK and Education at FUSE Okinawa 2024
Takashi Kobayashi and Hironori Washizaki, "SWEBOK Guide and Future of SE Education," First International Symposium on the Future of Software Engineering (FUSE), June 3-6, 2024, Okinawa, Japan
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
LORRAINE ANDREI_LEQUIGAN_HOW TO USE ZOOM
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Dr. Jesús Barrasa, Head of Solutions Architecture for EMEA, Neo4j
Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
OpenMetadata Community Meeting - 5th June 2024
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
Graspan: A Big Data System for Big Code Analysis
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
DDS-Security 1.2 - What's New? Stronger security for long-running systems
DDS Security Version 1.2 was adopted in 2024. This revision strengthens support for long runnings systems adding new cryptographic algorithms, certificate revocation, and hardness against DoS attacks.
Vitthal Shirke Java Microservices Resume.pdf
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Mobile App Development Company In Noida | Drona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
socradar-q1-2024-aviation-industry-report.pdf
SOCRadar's Aviation Industry Q1 Incident Report is out now!
The aviation industry has always been a prime target for cybercriminals due to its critical infrastructure and high stakes. In the first quarter of 2024, the sector faced an alarming surge in cybersecurity threats, revealing its vulnerabilities and the relentless sophistication of cyber attackers.
SOCRadar’s Aviation Industry, Quarterly Incident Report, provides an in-depth analysis of these threats, detected and examined through our extensive monitoring of hacker forums, Telegram channels, and dark web platforms.
Empowering Growth with Best Software Development Company in Noida - Deuglo
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Recently uploaded (20)
KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptx
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
Transform Your Communication with Cloud-Based IVR Solutions
Transform Your Communication with Cloud-Based IVR Solutions
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Neo4j - Product Vision and Knowledge Graphs - GraphSummit Paris
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Atelier - Innover avec l’IA Générative et les graphes de connaissances
DDS-Security 1.2 - What's New? Stronger security for long-running systems
DDS-Security 1.2 - What's New? Stronger security for long-running systems
Mobile App Development Company In Noida | Drona Infotech
Mobile App Development Company In Noida | Drona Infotech
Empowering Growth with Best Software Development Company in Noida - Deuglo
Empowering Growth with Best Software Development Company in Noida - Deuglo
Challenges operating and scaling GrapheneDB by Francisco Fernandez
- 1. Francisco Fernández - @fcofdezc fran@graphenedb.com www.graphenedb.com
- 2. Agenda ● Introduction ● Technologies and architecture ● Scalability challenges
- 3. Introduction
- 5. I want a neo4j db https://neourl.graphenedb.com
- 6. Customers
- 7. 2012 First proofs of concept around graph dbs. 02/2013 Beta, early access to sandbox databases 10/2013 First dedicated production instances 06/2014 GA of shared & dedicated production plans Present HA clusters, advanced performance metrics, ...
- 9. Agenda ● Almost totally Async ● RFCs driven development (almost like an open source project) ● Some challenges around communication.
- 10. Technologies
- 12. ...
- 14. We embrace the actor model Thinking like an Erlanger
- 15. Actor hierarchies Root Foo Bar a b c d e f g h root/foo/a/h
- 16. Supervision Root Foo Bar a b c d e f g h Notify to parent on fail
- 18. dramatization
- 19. Architecture
- 21. Bronze Age
- 23. Iron Age
- 26. Backups
- 27. Don’t test backups as you go
- 30. Consistency Check is mandatory
- 31. Some checks took many hours
- 33. min complexity O(|V| + |E|)
- 35. Bolt
- 36. < 3.x
- 37. < 3.x HTTP only
- 38. +
- 40. >= 3.x HTTP && Bolt
- 43. ELK
- 47. Questions?