Vim is a powerful text editor with three main modes: command, insert, and ex. It has advantages like speed, simplicity, and availability. Vim can open, modify, save, and exit files. Users can move around text, search/replace, cut/copy/paste, and customize Vim using options and mappings. Learning Vim's modes, commands, and shortcuts allows users to efficiently edit text.
The second part of Linux Internals covers system calls, process subsystem and inter process communication mechanisms. Understanding these services provided by Linux are essential for embedded systems engineer.
This document provides an overview of version control systems and Git/GitHub basics. It defines centralized and distributed version control systems, and explains how Git is a distributed system. It then gives instructions for Git configuration, committing files, branching, merging, rebasing, stashing changes, and using GitHub as a remote repository.
Under the Hood of a Shard-per-Core Database ArchitectureScyllaDB
Most databases are based on architectures that pre-date advances to modern hardware. This results in performance issues, the need to overprovision, and a high total cost of ownership. In this webinar we will discuss the advances to modern server technology and take a deep dive into Scylla’s shard-per-core architecture and our asynchronous engine, the Seastar framework.
Join us to learn how Seastar (and Scylla):
Avoid locks and contention on the CPU level
Bypass kernel bottlenecks
Implement its per-core shared-nothing autosharding mechanism
Utilize modern storage hardware
Leverage NUMA to get the best RAM performance
Balance your data across CPUs and nodes for best and smoothest performance
Plus we’ll cover the advantages of unlocking vertical scalability.
LAS16-111: Easing Access to ARM TrustZone – OP-TEE and Raspberry Pi 3Linaro
LAS16-111: Raspberry Pi3, OP-TEE and JTAG debugging
Speakers:
Date: September 26, 2016
★ Session Description ★
ARM TrustZone is a critical technology for securing IoT devices and systems. But awareness of TrustZone and its benefits lags within the maker community as well as among enterprises. The first step to solving this problem is lowering the cost of access. Sequitur Labs and Linaro have joined forces to address this problem by making a port of OP-TEE available on the Raspberry Pi 3. The presentation covers the value of TrustZone for securing IoT and how customers can learn more through this joint effort.
Embedded systems security remains a challenge for many developers. Awareness of mature, proven technologies such as ARM TrustZone is very low among the Maker community as well as among enterprises. As a result this foundational technology is largely being ignored as a security solution. Sequitur Labs and Linaro have taken an innovative approach combining an Open Source solution – OP-TEE with Raspberry Pi 3. The Raspberry Pi 3 is one of the world’s most popular platforms among device makers. Its value as an educational tool for learning about embedded systems development is proven.
Sequitur Labs have also enabled bare metal debugging via JTag on the Pi 3 enhancing the value of the Pi 3 as an educational tool for embedded systems development.
The presentation will focus on
ARM v8a architecture and instruction set
ARM Trusted Firmware
TrustZone and OP-TEE basics
JTAG and bare metal debugging the Raspberry Pi 3
★ Resources ★
Etherpad: pad.linaro.org/p/las16-111
Presentations & Videos: http://connect.linaro.org/resource/las16/las16-111/
★ Event Details ★
Linaro Connect Las Vegas 2016 – #LAS16
September 26-30, 2016
http://www.linaro.org
http://connect.linaro.org
Build a High Available NFS Cluster Based on CephFS - Shangzhong ZhuCeph Community
This document discusses building a high availability NFS cluster based on CephFS. It first explains why NFS and CephFS are useful but have limitations. It then describes using multiple active NFS servers with CephFS for reliability, performance and scalability. The document outlines using the user-space NFS server NFS-Ganesha with CephFS and HA solutions like Pacemaker, CTDB and LVS to provide redundancy and load balancing. CTDB is highlighted for providing a clustered TDB database across NFS servers with virtual IPs and automatic failover.
One sink to rule them all: Introducing the new Async SinkFlink Forward
Flink Forward San Francisco 2022.
Next time you want to integrate with a new destination for a demo, concept or production application, the Async Sink framework will bootstrap development, allowing you to move quickly without compromise. In Flink 1.15 we introduced the Async Sink base (FLIP-171), with the goal to encapsulate common logic and allow developers to focus on the key integration code. The new framework handles things like request batching, buffering records, applying backpressure, retry strategies, and at least once semantics. It allows you to focus on your business logic, rather than spending time integrating with your downstream consumers. During the session we will dive deep into the internals to uncover how it works, why it was designed this way, and how to use it. We will code up a new sink from scratch and demonstrate how to quickly push data to a destination. At the end of this talk you will be ready to start implementing your own Flink sink using the new Async Sink framework.
by
Steffen Hausmann & Danny Cranmer
OOUG - Oracle Performance Tuning with AASKyle Hailey
The document provides information about Kyle Hailey and his work in Oracle performance tuning. It includes details about his career history working with Oracle from 1990 to present, including roles in support, porting software versions, benchmarking, and performance tuning. Graphics and clear visualizations are emphasized as important tools for effectively communicating complex technical information and identifying problems. The goal is stated as simplifying database tuning information to empower database administrators.
Introducing the Apache Flink Kubernetes OperatorFlink Forward
Flink Forward San Francisco 2022.
The Apache Flink Kubernetes Operator provides a consistent approach to manage Flink applications automatically, without any human interaction, by extending the Kubernetes API. Given the increasing adoption of Kubernetes based Flink deployments the community has been working on a Kubernetes native solution as part of Flink that can benefit from the rich experience of community members and ultimately make Flink easier to adopt. In this talk we give a technical introduction to the Flink Kubernetes Operator and demonstrate the core features and use-cases through in-depth examples."
by
Thomas Weise
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 2Tanel Poder
This document summarizes a series of performance issues seen by the author in their work with Oracle Exadata systems. It describes random session hangs occurring across several minutes, with long transaction locks and I/O waits seen. Analysis of AWR reports and blocking trees revealed that many sessions were blocked waiting on I/O, though initial I/O metrics from the OS did not show issues. Further analysis using ASH activity breakdowns and OS tools like sar and vmstat found high apparent CPU usage in ASH that was not reflected in actual low CPU load on the system. This discrepancy was due to the way ASH attributes non-waiting time to CPU. The root cause remained unclear.
This document provides information about MongoDB replication and sharding. It discusses what replication is, how to set up replication on Windows including starting primary and secondary servers and verifying replication. It also discusses best practices for replication including always using replica sets, using replica sets to offload reads from primary, and using an odd number of replicas. The document also discusses how to set up MongoDB replication on Linux in a step-by-step process and how to check the replication status. It provides commands for adding and removing MongoDB instances from a replica set and making a primary secondary. Finally, it discusses what sharding is in MongoDB, the concept of sharding keys, and provides a high-level overview of implementing sharding in MongoDB including using
This third part of Linux internals talks about Thread programming and using various synchronization mechanisms like mutex and semaphores. These constructs helps users to write efficient programs in Linux environment
Kali Linux-Operating System Presentation.pptxSumaiyaSinja1
This document provides a summary of a presentation on the Kali Linux operating system. The presentation covered:
- An introduction to Kali Linux, including that it is Debian-based and maintained by Offensive Security.
- The architecture of the Kali Linux kernel and over 300 applications for password cracking, digital forensics, and penetration testing.
- How to install Kali Linux, its features such as being free and customizable, and some of its main tools like Nmap, Metasploit, and Wireshark.
- How to use basic Linux commands in the terminal, open files and folders, and compile a simple C program.
- The advantages of Kali Linux for penetration testing and its disadvantages like
Making Ceph fast in the face of failure mountpoint.io
This document discusses improvements to Ceph's recovery performance over multiple releases. Hammer favored maximum recovery speed but hurt clients. Infernalis improved on this. Luminous introduced priority queues and throttling via osd_recovery_sleep to balance recovery and client I/O. Mimic added asynchronous recovery to avoid blocking writes during recovery. Experiments show Luminous and Mimic significantly reduce the impact of failures on throughput and latency compared to earlier releases. Future work may include partial object recovery, adaptive throttling, and recovery order optimization.
This document discusses various Git challenges and concepts including:
1. The differences between adding a file to the local repository, staging area, and making changes to a file on the workspace.
2. How merging branches works, including fast forwarding, merging from one branch into another, and resolving conflicts when merging branches with different changes.
3. How to clean up branches by deleting them locally, remotely, or both.
4. Using staging to distribute new and changed files across multiple commits.
The document discusses compaction in RocksDB, an embedded key-value storage engine. It describes the two compaction styles in RocksDB: level style compaction and universal style compaction. Level style compaction stores data in multiple levels and performs compactions by merging files from lower to higher levels. Universal style compaction keeps all files in level 0 and performs compactions by merging adjacent files in time order. The document provides details on the compaction process and configuration options for both styles.
Kernel Recipes 2017: Using Linux perf at NetflixBrendan Gregg
This document discusses using the Linux perf profiling tool at Netflix. It begins with an overview of why Netflix needs Linux profiling to understand CPU usage quickly and completely. It then provides an introduction to the perf tool, covering its basic workflow and commands. The document discusses profiling CPU usage with perf, including potential issues like JIT runtimes and missing symbols. It provides several examples of perf commands for listing, counting, and recording events. The overall summary is that perf allows Netflix to quickly and accurately profile CPU usage across the entire software stack, from applications to libraries to the kernel, to optimize performance.
The document discusses best practices for using Git including basic commands, branches, tags, and collaboration using GitHub. It covers Git fundamentals like committing, pushing, pulling and branching as well as more advanced topics such as rebasing, cherry-picking, stashing and using Git hooks for continuous integration. The presentation aims to help users learn to use Git more efficiently.
This document discusses basic file permissions in Linux/Unix. It covers the different file attributes seen in the ls -l command output including permissions, owner, group, size and date. It describes the rwx permissions for owner, group and others. It also explains how to modify permissions using chmod with absolute and symbolic modes, and how to change file ownership with chown.
OSMC 2022 | Current State of icinga by Bernd ErkNETWAYS
This document provides an overview and update on the current state of Icinga, an open source monitoring solution. It discusses Icinga's goal of continuously improving its unified open source and enterprise monitoring capabilities. Key points include that Icinga is made for enterprises and offers features like scalability, high availability, and enterprise-grade support. The document highlights recent Icinga releases and upcoming work, community contributions, and how Icinga can be used to monitor infrastructure, offer automation, support cloud monitoring, and provide metrics, logs, and notifications.
Flink Forward San Francisco 2019: Moving from Lambda and Kappa Architectures ...Flink Forward
Moving from Lambda and Kappa Architectures to Kappa+ at Uber
Kappa+ is a new approach developed at Uber to overcome the limitations of the Lambda and Kappa architectures. Whether your realtime infrastructure processes data at Uber scale (well over a trillion messages daily) or only a fraction of that, chances are you will need to reprocess old data at some point.
There can be many reasons for this. Perhaps a bug fix in the realtime code needs to be retroactively applied (aka backfill), or there is a need to train realtime machine learning models on last few months of data before bringing the models online. Kafka's data retention is limited in practice and generally insufficient for such needs. So data must be processed from archives. Aside from addressing such situations, enabling efficient stream processing on archived as well as realtime data also broadens the applicability of stream processing.
This talk introduces the Kappa+ architecture which enables the reuse of streaming realtime logic (stateful and stateless) to efficiently process any amounts of historic data without requiring it to be in Kafka. We shall discuss the complexities involved in such kind of processing and the specific techniques employed in Kappa+ to tackle them.
This document provides an overview of DevOps, Git basics, and their relationship. It discusses how DevOps aims to improve collaboration between development and operations teams through practices like continuous integration, continuous delivery, and infrastructure automation. It also introduces some key DevOps terminology. Additionally, it covers the basics of using Git for version control, including tracking files, staging changes, committing, ignoring files, and pushing/pulling from remote repositories.
Linux has become integral part of Embedded systems. This three part presentation gives deeper perspective of Linux from system programming perspective. Stating with basics of Linux it goes on till advanced aspects like thread and IPC programming.
Log analysis challenges include searching logs across multiple services and servers. The ELK stack provides a solution with Logstash to centralize log collection, Elasticsearch for storage and search, and Kibana for visualization. Logstash uses input, filter, and output plugins to collect, parse, and forward logs. Example configurations show using stdin and filters to parse OpenStack logs before outputting to Elasticsearch and Kibana for analysis and dashboards.
Exploring the Oracle Database Architecture.pptMohammedHdi1
The document provides an overview of the Oracle database architecture, including its major components, memory structures, background processes, storage structures, and how they interact. It describes the system global area (SGA) and program global area (PGA) memory structures. It outlines the roles of key background processes like the database writer, log writer, and checkpoint processes. It also maps the logical and physical storage structures of the database from segments to data blocks, and describes the role of Automatic Storage Management (ASM) in managing database storage.
One sink to rule them all: Introducing the new Async SinkFlink Forward
Flink Forward San Francisco 2022.
Next time you want to integrate with a new destination for a demo, concept or production application, the Async Sink framework will bootstrap development, allowing you to move quickly without compromise. In Flink 1.15 we introduced the Async Sink base (FLIP-171), with the goal to encapsulate common logic and allow developers to focus on the key integration code. The new framework handles things like request batching, buffering records, applying backpressure, retry strategies, and at least once semantics. It allows you to focus on your business logic, rather than spending time integrating with your downstream consumers. During the session we will dive deep into the internals to uncover how it works, why it was designed this way, and how to use it. We will code up a new sink from scratch and demonstrate how to quickly push data to a destination. At the end of this talk you will be ready to start implementing your own Flink sink using the new Async Sink framework.
by
Steffen Hausmann & Danny Cranmer
OOUG - Oracle Performance Tuning with AASKyle Hailey
The document provides information about Kyle Hailey and his work in Oracle performance tuning. It includes details about his career history working with Oracle from 1990 to present, including roles in support, porting software versions, benchmarking, and performance tuning. Graphics and clear visualizations are emphasized as important tools for effectively communicating complex technical information and identifying problems. The goal is stated as simplifying database tuning information to empower database administrators.
Introducing the Apache Flink Kubernetes OperatorFlink Forward
Flink Forward San Francisco 2022.
The Apache Flink Kubernetes Operator provides a consistent approach to manage Flink applications automatically, without any human interaction, by extending the Kubernetes API. Given the increasing adoption of Kubernetes based Flink deployments the community has been working on a Kubernetes native solution as part of Flink that can benefit from the rich experience of community members and ultimately make Flink easier to adopt. In this talk we give a technical introduction to the Flink Kubernetes Operator and demonstrate the core features and use-cases through in-depth examples."
by
Thomas Weise
Tanel Poder - Troubleshooting Complex Oracle Performance Issues - Part 2Tanel Poder
This document summarizes a series of performance issues seen by the author in their work with Oracle Exadata systems. It describes random session hangs occurring across several minutes, with long transaction locks and I/O waits seen. Analysis of AWR reports and blocking trees revealed that many sessions were blocked waiting on I/O, though initial I/O metrics from the OS did not show issues. Further analysis using ASH activity breakdowns and OS tools like sar and vmstat found high apparent CPU usage in ASH that was not reflected in actual low CPU load on the system. This discrepancy was due to the way ASH attributes non-waiting time to CPU. The root cause remained unclear.
This document provides information about MongoDB replication and sharding. It discusses what replication is, how to set up replication on Windows including starting primary and secondary servers and verifying replication. It also discusses best practices for replication including always using replica sets, using replica sets to offload reads from primary, and using an odd number of replicas. The document also discusses how to set up MongoDB replication on Linux in a step-by-step process and how to check the replication status. It provides commands for adding and removing MongoDB instances from a replica set and making a primary secondary. Finally, it discusses what sharding is in MongoDB, the concept of sharding keys, and provides a high-level overview of implementing sharding in MongoDB including using
This third part of Linux internals talks about Thread programming and using various synchronization mechanisms like mutex and semaphores. These constructs helps users to write efficient programs in Linux environment
Kali Linux-Operating System Presentation.pptxSumaiyaSinja1
This document provides a summary of a presentation on the Kali Linux operating system. The presentation covered:
- An introduction to Kali Linux, including that it is Debian-based and maintained by Offensive Security.
- The architecture of the Kali Linux kernel and over 300 applications for password cracking, digital forensics, and penetration testing.
- How to install Kali Linux, its features such as being free and customizable, and some of its main tools like Nmap, Metasploit, and Wireshark.
- How to use basic Linux commands in the terminal, open files and folders, and compile a simple C program.
- The advantages of Kali Linux for penetration testing and its disadvantages like
Making Ceph fast in the face of failure mountpoint.io
This document discusses improvements to Ceph's recovery performance over multiple releases. Hammer favored maximum recovery speed but hurt clients. Infernalis improved on this. Luminous introduced priority queues and throttling via osd_recovery_sleep to balance recovery and client I/O. Mimic added asynchronous recovery to avoid blocking writes during recovery. Experiments show Luminous and Mimic significantly reduce the impact of failures on throughput and latency compared to earlier releases. Future work may include partial object recovery, adaptive throttling, and recovery order optimization.
This document discusses various Git challenges and concepts including:
1. The differences between adding a file to the local repository, staging area, and making changes to a file on the workspace.
2. How merging branches works, including fast forwarding, merging from one branch into another, and resolving conflicts when merging branches with different changes.
3. How to clean up branches by deleting them locally, remotely, or both.
4. Using staging to distribute new and changed files across multiple commits.
The document discusses compaction in RocksDB, an embedded key-value storage engine. It describes the two compaction styles in RocksDB: level style compaction and universal style compaction. Level style compaction stores data in multiple levels and performs compactions by merging files from lower to higher levels. Universal style compaction keeps all files in level 0 and performs compactions by merging adjacent files in time order. The document provides details on the compaction process and configuration options for both styles.
Kernel Recipes 2017: Using Linux perf at NetflixBrendan Gregg
This document discusses using the Linux perf profiling tool at Netflix. It begins with an overview of why Netflix needs Linux profiling to understand CPU usage quickly and completely. It then provides an introduction to the perf tool, covering its basic workflow and commands. The document discusses profiling CPU usage with perf, including potential issues like JIT runtimes and missing symbols. It provides several examples of perf commands for listing, counting, and recording events. The overall summary is that perf allows Netflix to quickly and accurately profile CPU usage across the entire software stack, from applications to libraries to the kernel, to optimize performance.
The document discusses best practices for using Git including basic commands, branches, tags, and collaboration using GitHub. It covers Git fundamentals like committing, pushing, pulling and branching as well as more advanced topics such as rebasing, cherry-picking, stashing and using Git hooks for continuous integration. The presentation aims to help users learn to use Git more efficiently.
This document discusses basic file permissions in Linux/Unix. It covers the different file attributes seen in the ls -l command output including permissions, owner, group, size and date. It describes the rwx permissions for owner, group and others. It also explains how to modify permissions using chmod with absolute and symbolic modes, and how to change file ownership with chown.
OSMC 2022 | Current State of icinga by Bernd ErkNETWAYS
This document provides an overview and update on the current state of Icinga, an open source monitoring solution. It discusses Icinga's goal of continuously improving its unified open source and enterprise monitoring capabilities. Key points include that Icinga is made for enterprises and offers features like scalability, high availability, and enterprise-grade support. The document highlights recent Icinga releases and upcoming work, community contributions, and how Icinga can be used to monitor infrastructure, offer automation, support cloud monitoring, and provide metrics, logs, and notifications.
Flink Forward San Francisco 2019: Moving from Lambda and Kappa Architectures ...Flink Forward
Moving from Lambda and Kappa Architectures to Kappa+ at Uber
Kappa+ is a new approach developed at Uber to overcome the limitations of the Lambda and Kappa architectures. Whether your realtime infrastructure processes data at Uber scale (well over a trillion messages daily) or only a fraction of that, chances are you will need to reprocess old data at some point.
There can be many reasons for this. Perhaps a bug fix in the realtime code needs to be retroactively applied (aka backfill), or there is a need to train realtime machine learning models on last few months of data before bringing the models online. Kafka's data retention is limited in practice and generally insufficient for such needs. So data must be processed from archives. Aside from addressing such situations, enabling efficient stream processing on archived as well as realtime data also broadens the applicability of stream processing.
This talk introduces the Kappa+ architecture which enables the reuse of streaming realtime logic (stateful and stateless) to efficiently process any amounts of historic data without requiring it to be in Kafka. We shall discuss the complexities involved in such kind of processing and the specific techniques employed in Kappa+ to tackle them.
This document provides an overview of DevOps, Git basics, and their relationship. It discusses how DevOps aims to improve collaboration between development and operations teams through practices like continuous integration, continuous delivery, and infrastructure automation. It also introduces some key DevOps terminology. Additionally, it covers the basics of using Git for version control, including tracking files, staging changes, committing, ignoring files, and pushing/pulling from remote repositories.
Linux has become integral part of Embedded systems. This three part presentation gives deeper perspective of Linux from system programming perspective. Stating with basics of Linux it goes on till advanced aspects like thread and IPC programming.
Log analysis challenges include searching logs across multiple services and servers. The ELK stack provides a solution with Logstash to centralize log collection, Elasticsearch for storage and search, and Kibana for visualization. Logstash uses input, filter, and output plugins to collect, parse, and forward logs. Example configurations show using stdin and filters to parse OpenStack logs before outputting to Elasticsearch and Kibana for analysis and dashboards.
Exploring the Oracle Database Architecture.pptMohammedHdi1
The document provides an overview of the Oracle database architecture, including its major components, memory structures, background processes, storage structures, and how they interact. It describes the system global area (SGA) and program global area (PGA) memory structures. It outlines the roles of key background processes like the database writer, log writer, and checkpoint processes. It also maps the logical and physical storage structures of the database from segments to data blocks, and describes the role of Automatic Storage Management (ASM) in managing database storage.
Scaling asp.net websites to millions of usersoazabir
This document discusses various techniques for optimizing ASP.NET applications to scale from thousands to millions of users. It covers topics such as preventing denial of service attacks, optimizing the ASP.NET process model and pipeline, reducing the size of ASP.NET cookies on static content, improving System.net settings, optimizing queries to ASP.NET membership providers, issues with LINQ to SQL, using transaction isolation levels to prevent deadlocks, and employing a content delivery network. The overall message is that ASP.NET requires various "hacks" at the code, database, and configuration levels to scale to support millions of hits.
iAccept - Conscience keepers of Employers & Job-seekersB MOHAN KUMAR
This document discusses iAccept, a platform that aims to improve trust and transparency between job seekers and employers. It acts as an independent, neutral third party to authenticate job offer acceptances and declines. The platform assists in communication between employers and candidates regarding offer rollouts, acceptances, and rejections. It promotes ethical behavior while maintaining confidentiality. Case studies show that iAccept increased conversions and reduced no-shows compared to before. The platform works by automatically declining all offers if a candidate accepts one, and provides attested experience certificates and service letters. It aims to create an ecosystem of ethical and credible professionals.
Microcontrollers are small computers contained on a single chip that are used for embedded applications. When selecting a microcontroller, factors to consider include the number of input/output pins needed, required interfaces like PWM, memory requirements for code and data, number of interrupts, required processing speed, cost and power constraints, available analog components, communication protocols, product family and available development tools, timers needed, and environmental conditions. Microcontrollers are commonly used in automotive, medical, consumer, and industrial devices to control automated processes.
The Indian Mobile Initiative aims to advocate for social innovations and entrepreneurship through mobile technology by educating Indian university students. It consists of a five-week course on entrepreneurship and mobile applications, as well as multiple three-day mobile and entrepreneurship workshops. The workshops will be held at different colleges across India and will teach students Android basics, have them brainstorm ideas to address community problems, and present and discuss their solutions. The overall goals are to inspire students to be social entrepreneurs that address community needs and build a network connecting students, mentors, and investors.
The document outlines the testing life cycle process used by a project team. It involves steps like requirement review, test planning, test case development, test execution, defect logging and reporting. Testing is done using HP Quality Center and includes unit testing, integration testing and user acceptance testing. The overall process ensures thorough testing and sign-off from various stakeholders before a project is closed.
Pragadeeswaran Rajendran is a human resources professional with over 6 years of experience in HR roles. He is currently a Senior Associate in HR at IMedX Information Services Private Limited, where he handles all HR functions including recruitment, payroll, employee engagement and statutory compliance. Previously he has worked as an HR executive at M*Modal Global Services and Classic Knits India, where he was responsible for recruitment, payroll processing, and maintaining statutory records and compliance. He holds an MBA in HR and a bachelor's degree in mathematics.
This document provides an overview of REST (Representational State Transfer) and RESTful architectures. It begins with an introduction and agenda. It then defines REST and describes its key aspects like resources, representations, and the HTTP methods. It discusses the constraints and goals of REST, examples of RESTful systems, and why REST is advantageous for building distributed systems. Finally, it covers implementing RESTful services in Java using the JAX-RS API and frameworks like Jersey.
Mayabious Art,one of the best animation studio in Kolkata. Who leading architectural 3d walkthrough, visualisation, 2d and 3d animation.Along with furnish digital media marketing, tv commercial production, web design & development services. Also branch in Pune, Hyderabad, Bangalore, Mumbai and Delhi.
Tejashree Pisolkar is seeking a challenging role as an ICT Business Analyst where she can apply her technical and management skills. She has a Master's degree in Business Information Systems from ANU and a Bachelor's degree in Computer Science. Her experience includes software testing and database projects. She has skills in programming, databases, data modeling, testing and project management. For her academic projects, she conducted analyses of mergers, IT strategies and systems for various companies.
This document discusses various execution models, data management, networking, business analytics, messaging, caching, identity, media, SDK support and websites for a software or platform. It indicates the information is confidential and subject to a non-disclosure agreement.
BE IN ELECTRONICS AND COMMUNICATION WITH 1 YEAR EXPERIENCEVicky Aryan
Vicky Kumar is a software test engineer with over 1 year of experience in manual testing. He has worked on various projects testing ERP, web portal, and e-commerce applications. He is proficient in all phases of the SDLC and STLC as well as functional, integration, regression, and other types of testing. He aims to find innovative solutions to challenging testing problems through a career in application testing.
Solutions Catalog # 3 by ISIS Papyrus Software
Learn More about successful Customer Implement
in various Industries and how the Papyrus Platform for
Inbound and Outbound Business Communication and
Process Management will make your organization
more flexible, efficient and responsive to customer needs.
Ipanema offers comprehensive application performance solutions through its partnership with Orange Business Services. For $3 per employee per month, Ipanema can save $30 per employee per month on network and IT operations costs and protect $300 per employee per month of investment in business applications. Ipanema's technology uses agents that can dynamically sense network performance and user demand in real-time and respond by enforcing optimal policies on a second-by-second basis to guarantee users' experience across hybrid networks. This fully integrated system provides benefits like accelerating delay-sensitive applications, reducing bandwidth consumption, and dynamically selecting the best network path while aligning network sizing to budget and business requirements.
Learn about NCache Architecture to see how it can address your applications needs. Scale your .NET appilcations with NCache. NCache is an in-memory distributed cache for .NET. It also lets you cache ASP.NET Session State.
Application Scalability in Server Farms - NCacheAlachisoft
NCache is an in-memory caching solution by Alachisoft that improves application scalability and performance by reducing database trips and storing frequently accessed data in memory to provide better performance. It is also used to cache session data in web farms.
This document provides an overview of a NoSQL Night event presented by Clarence J M Tauro from Couchbase. The presentation introduces NoSQL databases and discusses some of their advantages over relational databases, including scalability, availability, and partition tolerance. It covers key concepts like the CAP theorem and BASE properties. The document also provides details about Couchbase, a popular document-oriented NoSQL database, including its architecture, data model using JSON documents, and basic operations. Finally, it advertises Couchbase training courses for getting started and administration.
Critical Attributes for a High-Performance, Low-Latency DatabaseScyllaDB
This document discusses the attributes of a high-performance, low-latency database like ScyllaDB. It begins with introductions and an overview of ScyllaDB. It then summarizes how hardware has evolved over 20 years with more cores, memory, and faster disks. ScyllaDB was redesigned from first principles to take advantage of modern hardware, using an asynchronous, shared-nothing architecture with one shard per core. This allows it to achieve significantly higher performance than Cassandra. The document shows benchmark results demonstrating ScyllaDB's lower latencies and ability to scale to higher throughput. It also discusses how ScyllaDB uses workload prioritization to manage different types of workloads.
High-Performance Big Data Analytics with RDMA over NVM and NVMe-SSDinside-BigData.com
In this deck from the 2018 OpenFabrics Workshop, Xiaoyi Lu from OSU presents: High-Performance Big Data Analytics with RDMA over NVM and NVMe-SSD.
"The convergence of Big Data and HPC has been pushing the innovation of accelerating Big Data analytics and management on modern HPC clusters. Recent studies have shown that the performance of Apache Hadoop, Spark, and Memcached can be significantly improved by leveraging the high-performance networking technologies, such as Remote Direct Memory Access (RDMA). Most of these studies are based on `DRAM+RDMA' schemes. On the other hand, Non-Volatile Memory (NVM) and NVMe-SSD technologies can support RDMA access with low-latency, high-throughput, and persistence on HPC clusters. NVMs and NVMe-SSDs provide the opportunity to build novel high-performance and QoS-aware communication and I/O subsystems for data-intensive applications. In this talk, we propose new communication and I/O schemes for these data analytics stacks, which are designed with RDMA over NVM and NVMe-SSD. Our studies show that the proposed designs can significantly improve the communication, I/O, and application performance for Big Data analytics and management middleware, such as Hadoop, Spark, Memcached, etc. In addition, we will also discuss how to design QoS-aware schemes in these frameworks with NVMe-SSD."
Watch the video: https://wp.me/p3RLHQ-iyB
Learn more: http://web.cse.ohio-state.edu/~lu.932/
and
https://www.openfabrics.org/index.php/2018-ofa-workshop-presentations.html
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
This document compares different NoSQL database options and discusses which type may be best for different use cases. It provides an overview of the current NoSQL landscape and models, including key-value, document, graph and wide column stores. Specific databases like Redis, CouchBase, Neo4j and Cassandra are compared based on features like query support, operations, and commercial options. The document recommends choosing a database based on the specific problem and considering aspects like data size, read/write needs, and tradeoffs between consistency, availability and partitioning. It also advocates starting small but with significance and considering hybrid SQL/NoSQL approaches.
Big data processing meets non-volatile memory: opportunities and challenges DataWorks Summit
Advanced big data processing frameworks have been proposed to harness the fast data transmission capability of remote direct memory access (RDMA) over InfiniBand and RoCE. However, with the introduction of the non-volatile memory (NVM), these designs along with the default execution models, like MapReduce and Directed Acyclic Graph (DAG), need to be re-assessed to discover the possibilities of further enhanced performance.
In this context, we propose an accelerated execution framework (NVMD) for MapReduce and DAG that leverages the benefits of NVM and RDMA. NVMD introduces novel features for MapReduce and DAG, such as a hybrid push and pull shuffle mechanism and dynamic adaptation to the network congestion. The design has been incorporated into Apache Hadoop and Tez. Performance results illustrate that NVMD can achieve up to 3.65x and 3.18x improvement for Hadoop and Tez, respectively. In this talk, we will also present NVM-aware HDFS design and its benefits for MapReduce, Spark, and HBase.
Speaker: Shashank Gugnani, PhD Student, Ohio State University
The document discusses topics related to designing and implementing an SAP HANA infrastructure, including the hardware and software components required for the SAP HANA server, storage, network, backup, and disaster recovery systems. It provides information on sizing SAP HANA systems, certified hardware partners, storage options like TDI, network requirements, security best practices, backup methods, and high availability and disaster recovery strategies. The presentation aims to help with planning and designing the various elements of an SAP HANA infrastructure.
This document discusses PlanDas Cache Cloud, a caching solution. It begins by covering concepts like availability, performance, reliability, and manageability as they relate to caching. It then discusses the differences between distributed and global caching approaches. The document outlines how caching can improve performance for web services and help address bottlenecks. It introduces the PlanDas Cache Cloud architecture, which uses consistent hashing for high availability. The document shows how the solution provides a global cache, multi-tenancy, and high performance. It also covers the web management interface and similarities to Redis APIs. Finally, it shares performance test results on AWS and physical machines that show throughput scaling as nodes are added.
Tales From The Front: An Architecture For Multi-Data Center Scalable Applicat...DataStax Academy
- Quick review of Cassandra functionality that applies to this use case
- Common Data Center and application architectures for highly available inventory applications, and why the were designed that way
- Cassandra implementations vis-a-vis infrastructure capabilities
The impedance mismatch: compromises made to fit into IT infrastructures designed and implemented with an old mindset
This document introduces NoSQL and document databases, and demonstrates using RavenDB with ASP.NET MVC. It defines NoSQL as non-relational databases that avoid joins and scale horizontally. Popular NoSQL databases like MongoDB and CouchDB are discussed. The document then focuses on document databases and RavenDB specifically, highlighting its .NET support, scalability, transactions, and RESTful API. Finally, a demo app using RavenDB with ASP.NET MVC is proposed along with links to source code.
This document discusses WANdisco's Non-Stop Hadoop solution, which provides continuous availability of Hadoop across local and wide area networks using an active-active replication technique. It addresses key problems with multi-cluster Hadoop deployments like lack of 100% uptime and challenges sharing data globally. The solution utilizes WANdisco's patented distributed coordination engine to achieve consensus across data centers for metadata operations and absolute consistency. Use cases highlighted include eliminating single point of failures, enabling parallel data ingest across locations, optimizing resource utilization through cluster zoning, and achieving near-zero RTO disaster recovery.
Webinar 2017. Supercharge your analytics with ClickHouse. Vadim TkachenkoAltinity Ltd
ClickHouse is an open-source column-oriented database management system designed for high speed analytics on large data sets. It was developed by Yandex to handle real-time reporting and analytics for their search engine and ad analytics platforms, processing billions of events daily. ClickHouse provides massively parallel processing, distributed query processing, and high reliability. Benchmarks show it outperforms other open-source and commercial analytics databases in speed. It is best suited for analytics workloads like web and app analytics, sensor data, and monitoring where fast queries and scalability to large data volumes are important.
Revolutionary Storage for Modern Databases, Applications and Infrastrcturesabnees
Sanjay Sabnis presented on next generation storage solutions for modern big data applications. He discussed how NVMe storage provides significantly higher performance than SATA, with speeds over 6x faster for reads and over 40x faster for writes. Pavilion Data offers an all-NVMe rack scale storage array that provides 120GB/s of throughput with DAS-level latency. This solution can meet the performance and scalability demands of big data workloads like MongoDB, Splunk, and containerized applications.
Compressed Introduction to Hadoop, SQL-on-Hadoop and NoSQLArseny Chernov
This document provides a compressed introduction to Hadoop, SQL-on-Hadoop, and NoSQL technologies. It begins with welcoming remarks and then provides short overviews of key concepts in less than 3 sentences each. These include introductions to Hadoop origins and architecture, HDFS, YARN, MapReduce, Hive, and HBase. It also includes quick demos and encourages questions from the audience.
NoSQL – Data Center Centric Application EnablementDATAVERSITY
The growth of Datacenter infrastructure is trending out of bounds, along with the pace in user activity and data generation in this digital era. However, the nature of the typical application deployment within the data center is changing to accommodate new business needs. Those changes introduce complexities in application deployment architecture and design, which cascade into requirements for a new generation of database technology (NoSQL) destined to ease that complexity. This webcast will discuss the modern data centers data centric application, the complexities that must be dealt with and common architectures found to describe and prescribe new data center aware services. Well look at the practical issues in implementation and overview current state of art in NoSQL database technology solving the problems of data center awareness in application development.
Not So Common Memory Leaks in Java WebinarTier1 app
This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
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Adobe Lightroom Classic is a desktop-based software application for editing and managing digital photos. It focuses on providing users with a powerful and comprehensive set of tools for organizing, editing, and processing their images on their computer. Unlike the newer Lightroom, which is cloud-based, Lightroom Classic stores photos locally on your computer and offers a more traditional workflow for professional photographers.
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Organization:
Lightroom Classic provides robust tools for organizing your photos, including creating collections, using keywords, flags, and color labels.
Editing:
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Lightroom Classic can process RAW files, allowing for significant adjustments and fine-tuning of images.
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Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
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Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
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In essence, Cinema 4D 2025 is a major update that provides artists with more powerful tools and workflows for creating 3D content, particularly in the fields of motion graphics, VFX, and visualization.
Societal challenges of AI: biases, multilinguism and sustainabilityJordi Cabot
Towards a fairer, inclusive and sustainable AI that works for everybody.
Reviewing the state of the art on these challenges and what we're doing at LIST to test current LLMs and help you select the one that works best for you
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Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
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Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell
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Redis vs NCache - A detailed feture level comparison
1. NCache vs Redis
Detailed Feature Comparison
NCache 4.6 Enterprise Edition
Redis v3.2.3
NCache vs Redis Comparison 1www.alachisoft.com
2. CONTENTS
• The Scalability Problem and Solution
• Uses of a Distributed Cache
• Distributed Cache Deployment Diagram
• Side by Side Comparison of NCache and Redis
– Platform and Technology
– Architecture
– GUI Tools
– App Data Caching Features
– ASP.NET
– Run-time Data Sharing with Events
– Other areas
www.alachisoft.comNCache vs Redis Comparison 2
3. The Scalability Problem
Application Tier Scales Linearly
BUT
Data Storage is the Bottleneck
(Relational Databases, Mainframe Data, etc.)
NoSQL Database Not Always the Answer
(cannot always replace relational DB)
NCache vs Redis Comparison 3www.alachisoft.com
4. The Solution
In-Memory Distributed Cache (NCache)
(Makes other databases faster and scalable)
Use it with
Relational Databases
Legacy Mainframe Data
NoSQL Databases
NCache vs Redis Comparison 4www.alachisoft.com
6. Common Uses of a Distributed Cache
1. App Data Caching
– Cache linearly scalable (database is not)
– Data exists in BOTH cache & database (permanent data)
2. ASP.NET Specific Caching
– ASP.NET Session State storage (single-site & multi-site)
– ASP.NET View State cache
– ASP.NET Output Cache provider
– Data exists ONLY in cache (transient data)
3. Runtime Data Sharing thru Events
– Event driven data sharing in pub/sub model
– Event notifications & Continuous Query
– Data exists ONLY in cache (transient data)
NCache vs Redis Comparison 6www.alachisoft.com
7. NCache is:
• The oldest .NET distributed cache in the market
• 100% native .NET integrated into the .NET stack
• Open Source under Apache 2.0 License
• Latest version, 4.6, is 12th
version
• Alachisoft is MS 2012 certified
• NCache has an AppFabric Wrapper
• Check out the following comparison to Redis
NCache vs Redis Comparison 7www.alachisoft.com
9. NCache
•Open Source
– Apache 2.0 License
•Windows (100% .NET)
– Developed in C#
– Windows Server 2012 R2 Certified
•.NET Client (officially)
•Java Client (officially)
– Same socket protocol as .NET client
– Runs on Windows & Unix
NCache vs Redis
Platform & Technology
Redis
•Open Source
– BSD License
•Linux (Redis Labs)
•Windows (MS Open Tech)
– Open Source and unsupported
– Buggy and unstable
– Even Azure uses Linux version
•.NET & Java Clients (3rd
Party)
– Unsupported
NCache vs Redis Comparison 9www.alachisoft.com
10. NCache
•On-Premises (Windows)
– Perpetual License (own it)
– Annual maintenance (optional)
– 24x7 support (optional)
– Open Source is FREE. Use as is
NCache vs Redis
On-Premises Support
Redis
•On-Premises (Linux)
– By Redis Labs
– Annual subscription
– Open Source. Use as is.
•On-Premises (Windows)
– By MS Open Tech
– Buggy, unstable, & without support
– Even Azure uses Linux version
NCache vs Redis Comparison 10www.alachisoft.com
11. NCache (VM Model)
•Control Cache Server VMs
– Login and control/administer
•Run Server-side Code
– Read-thru, Write-thru, Write-behind
– Cache Loader, Custom Dependency
– MapReduce, Aggregator, Entry
Processor
•Azure, Amazon, and others
– Cloud licensing (hourly charges)
NCache vs Redis
Cloud Support
Redis (Service Model)
•No Access to Cache Server VMs
– Only client-side API access
•Azure (Microsoft)
– Azure uses Linux version of Redis
– Cloud licensing (hourly charges)
– No access to cache servers
– Cannot run server-side code
•Amazon & others (Redis Labs)
– Only Linux version
NCache vs Redis Comparison 11www.alachisoft.com
13. NCache
•Extremely fast & scalable
– Client/Server communication
•Client Cache (even faster)
•Bulk Operations
– Reduce trips to caching tier
– Works on the entire cache
•Fast Compact Serialization
– 10 times faster
•Compression
NCache vs Redis
Performance & Scalability
Redis
•Fast & scalable (Linux version)
– Windows version has issues
•Bulk Operations
– Works on one shard only
•Slow Serialization
– APP must convert all data to STRING
NCache vs Redis Comparison 13www.alachisoft.com
14. NCache: Client Cache (Near Cache)
Local cache (close to your
app)
InProc or OutProc
Sync with cache cluster
Auto sync
Optimistic & pessimistic sync
No code changes needed
Automatically intercepts cache calls
Use in read-intensive cases
NCache vs Redis Comparison 14www.alachisoft.com
15. NCache
•Dynamic Cache Cluster
– Add/remove nodes seamlessly
•Dynamic Configuration
– Apply to the entire cluster
•Cluster Health Events
– To automatically handle things
•Split Brain Detection
– No recovery provided yet
NCache vs Redis
High Availability (100% Uptime)
Redis
•Cluster Not Fully Dynamic
– Cannot auto add/remove Shard
– Cluster stops if Shard is down
•Dynamic Configuration (Partial)
– Manually apply to each server
NCache vs Redis Comparison 15www.alachisoft.com
16. NCache: High Availability (100% Uptime)
Dynamic Cache Cluster
Peer to Peer Architecture
No single point of failure
No master/slave or majority rule
Runtime Add/Remove Servers
Without stopping anything
Connection Failover Support
Between clients & servers
Within cache cluster
Dynamic Configuration
Config propagated at runtime
NCache vs Redis Comparison 16www.alachisoft.com
17. NCache
•Local Cache/Client Cache
•Mirrored Cache
•Replicated Cache
•Partitioned Cache
•Partition-Replica (Async/Sync)
– Sync: for really sensitive data
•Data Balancing (Partitioned)
– To automatically redistribute data
NCache vs Redis
Cache Topologies
Redis
•Local Cache (OutProc Only)
•Partitioned Cache
– Cannot auto-handle shard down
•Partition-Replica (Async only)
– Cannot auto-handle shard down
– Cannot handle sensitive data
– May lose data on replication
NCache vs Redis Comparison 17www.alachisoft.com
28. NCache vs Redis
App Data Caching Features
(Data exists in BOTH cache & database)
NCache vs Redis Comparison 28www.alachisoft.com
29. NCache
•Expirations (Absolute + Sliding)
– Reload data with Read-thru
•Sync Cache with Database
– Sql Dependency, Oracle Dependency,
DB Dependency, CLR Procedures
•Sync Cache with Non-Relational
– File Dependency, Custom Dependency
•Handle Data Relationships
– Cache Dependency (key)
– One-to-one, one-to-many
NCache vs Redis
Keep Data Fresh
Redis
•Expirations
NCache vs Redis Comparison 29www.alachisoft.com
30. NCache
•SQL Searching
– Search on object attributes
•LINQ Searching
– From within .NET apps natively
•Search on Tags & Named Tags
NCache vs Redis
Cache Search (SQL)
Redis
•No Support
NCache vs Redis Comparison 30www.alachisoft.com
31. NCache
•Group/Subgroup
– Group data logically
– Fetch or operate on the group
•Tags
– Assign multiple “tags” to an item
•Named Tags
– Assign multiple “key-value” tags
NCache vs Redis
Data Grouping
Redis
•No Support
NCache vs Redis Comparison 31www.alachisoft.com
32. NCache
•Read-Through
– Auto reload items on expirations &
database synchronization
•Write-Through
– Cache writes to DB
•Write-Behind
– Async DB writes (queue based)
•Cache Loader
– Cache calls your code to load upon
startup
NCache vs Redis
Read-thru, Write-thru, Cache Loader
Redis
•No Support
NCache vs Redis Comparison 32www.alachisoft.com
34. NCache
•ASP.NET Sessions (advanced)
– A lot of extra features
– Relate View State to sessions
•Multi-Site ASP.NET Sessions
– Sync across data centers
•ASP.NET View State
– Cache on server side
•ASP.NET Output Cache
NCache vs Redis
ASP.NET Support
Redis
•ASP.NET Sessions (basic)
•ASP.NET Output Cache
NCache vs Redis Comparison 34www.alachisoft.com
35. NCache vs Redis
Runtime Data Sharing with Events
NCache vs Redis Comparison 35www.alachisoft.com
36. NCache
•Item Level Events
•Cache Level Events
– For transport & storage
•Custom Events (Pub/Sub)
– For transport & storage
•Continuous Query
– Monitor SQL-based dataset in cache
NCache vs Redis
Runtime Data Sharing
Redis
•Item Level Events
•Cache Level Events
– For transport & storage
•Custom Events (Pub/Sub)
– For transport & storage
NCache vs Redis Comparison 36www.alachisoft.com
39. NCache
•NHibernate (official)
– Extra features thru config file
•Entity Framework Cache
– Custom ADO.NET Provider
NCache vs Redis
Third Party Integrations
Redis
•NHibernate (not official)
NCache vs Redis Comparison 39www.alachisoft.com
40. NCache
•Authentication (Active Directory)
– Supports AD & LDAP
– Very secure
•Data Encryption
– For transport & storage
NCache vs Redis
Security & Encryption
Redis
•Authentication (Text Based)
– Not secured like AD or LDAP
NCache vs Redis Comparison 40www.alachisoft.com
41. NCache
•Map Reduce (InProc)
– To process huge data in a distributed
cache cluster
•Aggregators
•Entry Processor
– To run custom code on cache cluster
NCache vs Redis
Big Data Processing
Redis
•No Support
NCache vs Redis Comparison 41www.alachisoft.com
42. Next Steps
• Download NCache 60-Day fully working Trial
– http://www.alachisoft.com/download-ncache.html
• Schedule Personalized Technical Consultation
– Discuss your applications, environment and features that will work for you
– Discuss Redis and NCache options in more depth
– Get details on your NCache configuration
• Contact us
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– Or email [email protected]
NCache vs Redis Comparison 42www.alachisoft.com
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