#custom middleware
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robomad · 1 year ago
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Django Middleware: What, Why, and How
Django is a robust web framework that provides a variety of features to simplify web development. One of these powerful features is middleware. Middleware is a way to process requests globally before they reach the view or after the view has processed them. This blog post will delve into what Django middleware is, why it’s essential, and how you can create and use your own middleware in Django…
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archoneddzs15 · 4 months ago
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Microsoft XBOX 360 - Sonic World Adventure (Sonic Unleashed)
Title: Sonic World Adventure / ソニック ワールドアドベンチャー
Developer/Publisher: Sega (Sonic Team)
Release date: 19 February 2009
Catalogue No.: HEC-00002
Genre: 3D Action Adventure
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Sega's Sonic team development division, learning from Sonic 06's mistakes, made the XBOX 360 perform some pretty impressive tasks in their demos, some of which were used in their games. Sonic Unleashed is one of those games (the other one being 2019's Shin Sakura Taisen, a visual novel for the PS4). The game marks the first-ever time a Sonic game debuted with a rendering system dubbed by Sonic Team as the "Hedgehog Engine", designed specifically to handle the drawing of 3D geometry and environments in a fast-paced setting. (The game still uses CRI Middleware and Havok technologies in some parts).
As a result, compared to the likes of Sonic 2006, Sonic Unleashed is capable of producing CGI film quality graphics very similar to those from the best Disney/Pixar animated film properties. Yoshihisa Hashimoto who was the Director of this game at the time, spent months analyzing video games, CGI films, and even people and places in real life. He came to the conclusion that current-generation games are missing an element known in the computer animation field as Global Illumination.
This allows for a light source to hit a scene, and light is reflected off every object in the environment. To cover the vast amounts of calculations that needed to be processed, they also came up with a system that connected 100 computers for the team to distribute the workload. This enabled them to complete all the lighting calculations for an action stage (which is about 6-8 miles long) in 2 or 3 days.
Hashimoto's team also developed a technology called Light Field, which blended the characters naturally into the environments. With this technology, Sonic can run through an action stage while the light is being reflected off him naturally as if he “belongs” there (in contrast to past games where Sonic looks out of place in several environments). As a result, Sonic Unleashed manages to stand out from the rest of the platformers of its age in that rather than lowering the quality down to PS2 levels (as was the case with some early PS3 and 360 games around 2005-2007), the game uses pseudo-raytracing, coupled with the introduction of the then-novel Boost gameplay mechanic and a custom control scheme dedicated to the Werehog/Night levels, as well as a seamless day/night cycle to provide fast and smooth looking 3D environments.
Coupled together with the XBOX 360's great sprite and polygon capabilities for enemies and explosions and polygon-built ships (mainly those from Dr. Eggman), along with the PS1-quality ease of development that made the XBOX 360 the king in the eyes of general gamers, makes Sonic Unleashed look like quite a feast for the ears, as well as the eyes.
So how does it play? Well, I'm not too sure if it went down well in Malaysia but judging by how hard it is to find a copy, I'd say it wasn't well received (in my area). Most households in Malaysia probably only owned a PS2 back in the day, so the PS2 version of Unleashed is much more common. Globally though, and on the Sonic circles, I remember Sonic Unleashed being showered with praise the world over, with high critic scores and glowing fan and user reviews. This could be because Sonic Unleashed fixed the flawed controls that plagued '06 and turned the franchise's reputation from being stained into a great sendoff for the future, with great gameplay, a killer story, and an AWESOME mix of orchestral, rock, and miscellaneous soundtrack genres as you played all the way from Apotos (based on Mykonos, Greece) to Eggmanland (based on Luna Park Sydney).
There is a lot to blast and search for as well as getting yourself lost quite often in the Open World Hubs (^o^;) Oh and about the gameplay, the Daytime stages are some of the BEST that you'll ever see in terms of graphical fidelity (only bested by Frontiers, Shadow Generations, and the upcoming Crossworlds), and the Werehog stages, it's debatable, but it is pretty good to me. It's not 100% perfect though - there are some minor flaws such as very weird frame-rate issues, and falling down easily when using your ring energy, the Werehog levels can be very long but not as bad as other worse beat-em-ups on the 360 such as TMNT Turtles in Time Re-Shelled and Golden Axe Beast Rider. I wanted to call it "God of War inspired" but that would be me pulling the Sony fanboy card. Let's just say the combat reminded me of either Spike Out, Streets of Rage, or even Batman Returns on the Super Famicom, maybe a touch of Arkham Asylum and Arkham City (though these are later games). You need to replay levels to get the medals which become harder to find.
Bottom line, if you're into the odd type of action platformer with a killer story, then I think Sonic Unleashed will suit you. This game is compatible with XBOX ONE and XBOX SERIES consoles, and if you play it on an XBOX SERIES S or X, you get the added bonus of 60 FPS boost mode which is really awesome.
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aktechworld · 2 months ago
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Integrating Third-Party Tools into Your CRM System: Best Practices
A modern CRM is rarely a standalone tool — it works best when integrated with your business's key platforms like email services, accounting software, marketing tools, and more. But improper integration can lead to data errors, system lags, and security risks.
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Here are the best practices developers should follow when integrating third-party tools into CRM systems:
1. Define Clear Integration Objectives
Identify business goals for each integration (e.g., marketing automation, lead capture, billing sync)
Choose tools that align with your CRM’s data model and workflows
Avoid unnecessary integrations that create maintenance overhead
2. Use APIs Wherever Possible
Rely on RESTful or GraphQL APIs for secure, scalable communication
Avoid direct database-level integrations that break during updates
Choose platforms with well-documented and stable APIs
Custom CRM solutions can be built with flexible API gateways
3. Data Mapping and Standardization
Map data fields between systems to prevent mismatches
Use a unified format for customer records, tags, timestamps, and IDs
Normalize values like currencies, time zones, and languages
Maintain a consistent data schema across all tools
4. Authentication and Security
Use OAuth2.0 or token-based authentication for third-party access
Set role-based permissions for which apps access which CRM modules
Monitor access logs for unauthorized activity
Encrypt data during transfer and storage
5. Error Handling and Logging
Create retry logic for API failures and rate limits
Set up alert systems for integration breakdowns
Maintain detailed logs for debugging sync issues
Keep version control of integration scripts and middleware
6. Real-Time vs Batch Syncing
Use real-time sync for critical customer events (e.g., purchases, support tickets)
Use batch syncing for bulk data like marketing lists or invoices
Balance sync frequency to optimize server load
Choose integration frequency based on business impact
7. Scalability and Maintenance
Build integrations as microservices or middleware, not monolithic code
Use message queues (like Kafka or RabbitMQ) for heavy data flow
Design integrations that can evolve with CRM upgrades
Partner with CRM developers for long-term integration strategy
CRM integration experts can future-proof your ecosystem
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itsbenedict · 2 years ago
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okay, so- the past three days have been pretty insane, hence no to-do lists. did not know hour-to-hour what in the hell i'd have to do next.
monday morning, there was a company meeting, and it was announced that we were being sold. this was not... the most surprising thing in the world, because about a month ago there was this sudden hasty push by the top to reorganize the business into distinct independent units that didn't depend on shared services. like, what else would the point of doing that be, if not to sell off pieces of the business? sure, they said that wasn't happening, but who the hell was fooled by that?
so i used to do most of my work on these projects for this one specific business unit, building and running a bunch of middleware API integrations for our learning management system. but my boss, who used to be in charge of the dev team generally, got assigned to this totally different unit- and she liked me enough that she pushed really hard to get me reassigned to her unit.
so i was already conflicted about that:
i really like my boss- she's really understanding of my need for flexibility to work on my side projects, she only cares that i get the work done (and even with many side projects, i still consistently exceed expectations and get a full-time workload done ahead of schedule), and she was pushing hard to get me a raise against upper management who'd taken to using covid austerity as an excuse to never give anyone any raises ever. and the team assigned to this unit didn't have any senior devs who could handle a big infrastructure transition, and i'd just become AWS certified, and without someone like me, my coworkers assigned to that unit would be in some hot water. plus, after the transition, maintaining a reduced suite of products would probably be easier day-to-day.
but on the other hand, all my projects in the other business unit, with the LMS- those are pretty vital, and the nature of the contracts with those clients necessitates frequent maintenance and changes. my code for those integrations is bad, for various reasons but mainly that there is no dev environment for testing changes. it's fundamentally about managing production data in databases we don't directly control, so every change has to be done very quickly and carefully, with no room for big refactors to clean things up (and risk breaking stuff). it's a mess, and no one in the other business unit is prepared to take it over. plus- i liked working directly with clients, doing work where if i did the work someone was appreciative of the work. it was motivating!
ultimately, i decided to trust my boss and follow her to the other business unit. we weren't completely splitting from the rest of the business- i'd still be able to train up someone else to take over my projects, we'd still have the shared customer accounts management software, and- crucially- i'd still have the boss who understood my needs and had no interest in squeezing value out of me.
so i went on vacation for a couple weeks right after committing to that decision- and then i came back on monday, and that day they announce we're being sold.
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also that my boss is fired and being replaced by someone from the new company.
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also that we have two months to completely disconnect all our products from shared service infrastructure and rebuild our own.
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also no takesies-backsies, the acquisition agreement included terms that the former company not hire back any of the sold-off employees or even discuss the acquisition with them at all. no chance to react to the new information except to sign the new offer letter by close of business on Wednesday.
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i was unhappy about this! can you tell???
so my first thought was- okay, this is bullshit. i still want to work for the LMS people, the LMS people still want me to work for them, there has to be a solve here. so i go to the guy in charge of that division, who also wants me to keep working there, and he says okay i'll have our lawyers look into it.
and then... he gets back to me sounding like a robot, "i am unable to discuss this further with you at this time", which is so obviously out of character for the guy that i can tell legal's thrown the book at him. i talk to legal myself- it's a dead end. they can't- they're unable to even talk about why they can't talk about it, because obviously this deal was engineered to prevent me from doing exactly what i'm trying to do here.
so i go at it from the other angle. president of the sold company, now a wholly-owned for-profit subsidiary of a nonprofit organization (is that even allowed???), i explain to him, hey, this is a mistake, i'm only here because my old boss really wanted me to be on her team, surely you can let me go continue doing my actual job?
nope.
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so then i start playing hardball.
the salary they're offering me is, adjusted for inflation, less than the salary i was offered two years ago, which had come with the (entirely failed) non-promise that i'd be bumped up to a certain level very quickly after some formalities re: the employment structure. i explain, in detail, how upset i am with the entire state of affairs- and i threaten to walk, which i am allowed to do. i'm not required to sign their new contract- i'd need to go job-hunting, sure, but i have money in the bank, i can afford to do it, and i could definitely get a better deal somewhere else.
this is a tense situation! my old boss knew this team needed me- but they unceremoniously fired her while she was on vacation, so her opinion doesn't mean dirt to them apparently. it's unclear how vital i really am to this- they could maybe train up one of the other devs to handle the AWS stuff.
and on my side- if i walk, that's it. all that horrible messy code for the LMS stuff- i don't get two months to train someone else up and write documentation and do some housecleaning. i'm gone! my horrific dirty laundry (and hours and hours of regular maintenance work) gets handed off to some other dev who's totally unprepared for it, and that person inevitably puts a curse on my entire family line as retribution for me leaving them holding that intolerable bag. i don't actually want to walk, because then i end up the bad guy in the eyes of people i respect and care about.
(also i'd have to do a job hunt and that shit is so god damn annoying you have no idea you probably have some idea.)
so i tell the guy, look- i can do better. i'm basically starting over doing harder work at an unfamiliar company, and if i'm doing that anyway, why not do it for someone who'll pay me? if you don't give me X amount of money, i'm walking out, and now you don't have an infrastructure guy during the two-month window you have to migrate a shit-ton of infrastructure. i am a serious dude and you can't just fuck with me!
(and inside i'm like:
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because oh god i am not a serious dude i am so easily fucked with what if i'm pushing my luck too hard)
and he lets me fuckin' stew. 5:00 on wednesday i need to have either signed a contract or not signed a contract, and he hedges and goes to talk with the higher-ups and makes no promises, and i have no idea whether it's because i scared him or if he's trying to work out how to replace me or what. all this negotiation has been eating my brain for the past couple days and it's coming down to the wire-
and then a couple hours before the deadline he gets back to me with a counteroffer. it's less than i was asking, because that's how negotiations work, but it is more than i was making when i was brought on, by a good 10k.
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so now it's on to round two. i'm gonna stick around for this two-month period, make this transition work, clean up my mess and take care of things with my now ex-coworkers- and then if they haven't either proven their management is tolerable or given me a crystal-clear path to advancement, we're back to the standoff- except this time, they'll have a good idea of exactly what it is they stand to lose.
haaaaaaaaaaaaaaah. okay. okay. yeah. so that's dealt with for the time being. i can breathe now. we'll see how it goes. fuck.
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teqful · 6 months ago
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How-To IT
Topic: Core areas of IT
1. Hardware
• Computers (Desktops, Laptops, Workstations)
• Servers and Data Centers
• Networking Devices (Routers, Switches, Modems)
• Storage Devices (HDDs, SSDs, NAS)
• Peripheral Devices (Printers, Scanners, Monitors)
2. Software
• Operating Systems (Windows, Linux, macOS)
• Application Software (Office Suites, ERP, CRM)
• Development Software (IDEs, Code Libraries, APIs)
• Middleware (Integration Tools)
• Security Software (Antivirus, Firewalls, SIEM)
3. Networking and Telecommunications
• LAN/WAN Infrastructure
• Wireless Networking (Wi-Fi, 5G)
• VPNs (Virtual Private Networks)
• Communication Systems (VoIP, Email Servers)
• Internet Services
4. Data Management
• Databases (SQL, NoSQL)
• Data Warehousing
• Big Data Technologies (Hadoop, Spark)
• Backup and Recovery Systems
• Data Integration Tools
5. Cybersecurity
• Network Security
• Endpoint Protection
• Identity and Access Management (IAM)
• Threat Detection and Incident Response
• Encryption and Data Privacy
6. Software Development
• Front-End Development (UI/UX Design)
• Back-End Development
• DevOps and CI/CD Pipelines
• Mobile App Development
• Cloud-Native Development
7. Cloud Computing
• Infrastructure as a Service (IaaS)
• Platform as a Service (PaaS)
• Software as a Service (SaaS)
• Serverless Computing
• Cloud Storage and Management
8. IT Support and Services
• Help Desk Support
• IT Service Management (ITSM)
• System Administration
• Hardware and Software Troubleshooting
• End-User Training
9. Artificial Intelligence and Machine Learning
• AI Algorithms and Frameworks
• Natural Language Processing (NLP)
• Computer Vision
• Robotics
• Predictive Analytics
10. Business Intelligence and Analytics
• Reporting Tools (Tableau, Power BI)
• Data Visualization
• Business Analytics Platforms
• Predictive Modeling
11. Internet of Things (IoT)
• IoT Devices and Sensors
• IoT Platforms
• Edge Computing
• Smart Systems (Homes, Cities, Vehicles)
12. Enterprise Systems
• Enterprise Resource Planning (ERP)
• Customer Relationship Management (CRM)
• Human Resource Management Systems (HRMS)
• Supply Chain Management Systems
13. IT Governance and Compliance
• ITIL (Information Technology Infrastructure Library)
• COBIT (Control Objectives for Information Technologies)
• ISO/IEC Standards
• Regulatory Compliance (GDPR, HIPAA, SOX)
14. Emerging Technologies
• Blockchain
• Quantum Computing
• Augmented Reality (AR) and Virtual Reality (VR)
• 3D Printing
• Digital Twins
15. IT Project Management
• Agile, Scrum, and Kanban
• Waterfall Methodology
• Resource Allocation
• Risk Management
16. IT Infrastructure
• Data Centers
• Virtualization (VMware, Hyper-V)
• Disaster Recovery Planning
• Load Balancing
17. IT Education and Certifications
• Vendor Certifications (Microsoft, Cisco, AWS)
• Training and Development Programs
• Online Learning Platforms
18. IT Operations and Monitoring
• Performance Monitoring (APM, Network Monitoring)
• IT Asset Management
• Event and Incident Management
19. Software Testing
• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.
• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.
• Functional Testing: Validating that the software performs its intended functions.
• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.
• Unit Testing: Testing individual components or units of code for correctness.
• Integration Testing: Ensuring that different modules or systems work together as expected.
• System Testing: Verifying the complete software system’s behavior against requirements.
• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).
• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.
• Performance Testing: Testing software performance under various conditions (load, stress, scalability).
• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.
• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.
• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.
• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).
19. VoIP (Voice over IP)
VoIP Protocols & Standards
• SIP (Session Initiation Protocol)
• H.323
• RTP (Real-Time Transport Protocol)
• MGCP (Media Gateway Control Protocol)
VoIP Hardware
• IP Phones (Desk Phones, Mobile Clients)
• VoIP Gateways
• Analog Telephone Adapters (ATAs)
• VoIP Servers
• Network Switches/ Routers for VoIP
VoIP Software
• Softphones (e.g., Zoiper, X-Lite)
• PBX (Private Branch Exchange) Systems
• VoIP Management Software
• Call Center Solutions (e.g., Asterisk, 3CX)
VoIP Network Infrastructure
• Quality of Service (QoS) Configuration
• VPNs (Virtual Private Networks) for VoIP
• VoIP Traffic Shaping & Bandwidth Management
• Firewall and Security Configurations for VoIP
• Network Monitoring & Optimization Tools
VoIP Security
• Encryption (SRTP, TLS)
• Authentication and Authorization
• Firewall & Intrusion Detection Systems
• VoIP Fraud DetectionVoIP Providers
• Hosted VoIP Services (e.g., RingCentral, Vonage)
• SIP Trunking Providers
• PBX Hosting & Managed Services
VoIP Quality and Testing
• Call Quality Monitoring
• Latency, Jitter, and Packet Loss Testing
• VoIP Performance Metrics and Reporting Tools
• User Acceptance Testing (UAT) for VoIP Systems
Integration with Other Systems
• CRM Integration (e.g., Salesforce with VoIP)
• Unified Communications (UC) Solutions
• Contact Center Integration
• Email, Chat, and Video Communication Integration
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catonator · 2 years ago
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You hear about video game development?
Well. I wouldn't say I expected such a catastrophic implosion from Unity.
Now, I can't say that I didn't laugh at the situation. It's a hilariously terrible case of bad management coming up with bad ideas in desperation. But it's also a somewhat scary indication of the sorry state of the industry.
Unity controls about 40% of the engine marketshare (according to a linkedin post I found anyway). Unity dominates the engine scene by a large margin, followed by Unreal at around 30% and Cryengine by around 5%. Unity forms such a large part of the entire game development industry, that it's difficult to really even understand just how much they control the concept of games as a whole!
Most people are jumping to some paid alternatives, like the aforementioned Unreal and, to a lesser extent, Game Maker, but my suggestion is this: don't!
Within the last decade, all-encompassing closed super game engines have become less of a side venture and more of an expectation. Back in the 2000s, there were a few engines like this, mostly amateur ones. Game engines were less creation stations and more of a loose collection of middleware and tools. Purchasing the rights to the engine meant that you also got the responsibility of also tying the engine into something resembling a game yourself. I feel like this art has been lost.
Game engines nowadays are more of a purchase of a passing right to use and incredibly specific, closed set of tools. You don't get to define the tools, and you don't get to really own the tools. It's yet another example of the tradition of the games industry fucking over the customers, and the customers just going with it. Because of this, while Unreal got some free dunks on Twitter for this, I can assure you Epic is planning something equally terrible as Unity's PR faux pas, and it'll come into to play in about 3 years when everyone's just accepted that Unity sometimes financially screws you over.
But, game developers are indeed developers. They know software, and they can learn to make new software.
If you're a game dev and still reading this, I'd recommend taking a peek beyond the curtains of corporate cockfighting, into the realm of DIY game engines. It's a… somewhat janky world full of strange characters with unusual ideas on how much time it's acceptable to spend not working on a game, but it's also a place where you're not being sat on by fatcats.
Just as game engines have progressed in the past 20 years, so have libraries, middleware and resources for independents. Making your own engine isn't just picking up ANSI C and toiling for a year in software rendering hell. Open tools like Pygame, Monogame, LÖVE and Cocos2D (among many, many others) are far beyond just simple rendering libraries and border on being game engines sometimes. The difference is, these tools are open source, and they do not restrict you with what you can do with them.
There are several games you may have played made using these frameworks. Streets of Rage 4 (MonoGame), Celeste (MonoGame), Fez (XNA, aka. MonoGame), Miitomo (Cocos2D), Geometry Dash (Cocos2D)… I got tired of looking up more. There are a lot of games.
The future which I hope to see for game developers is one where you have a large assortment of simple tools you can pick. Level editors, asset converters, entity systems, all small chunks of a game engine you could drop into your own project to slowly build up your own collection of workflows to make games your own way, completely independent of any larger forces on the market.
The support for these frameworks is still somewhat barren compared to Unity, but I believe, that if more people jump to alternatives like this, more tools, tutorials and middleware built for them would start showing up. This is how Unity also got its start, about 15 years ago. You also really don't need all the power in the world to make your simple 2D Megaman clones. The fog created by the monolithic engines we have now have obscured just how simple the building blocks for your favourite games can really be.
It just takes some bravery and willingness to learn a new way to approach making games, but I think the outcome is worth it, even just for you.
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canmom · 4 months ago
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deepseek figures out how to level up
following on from the previous discussions of how LLMs might be used in vidyagame, I got deepseek-R1:661b to discuss how to become more sensory/embodied and, uh, wow? LLMs are pretty good at talking about themselves and AI research. and she pretty much gave me a recipe for stuff to try on embodying LLMs in games, including a number of techniques I hadn't heard of yet.
like I get on some level it's just jamming on the stuff I give it and the sources in its training data, and a whole lot of expensive compute is happening for every token generated, but I continue to be impressed by LLMs uncanny ability to generate precise, relevant and coherent responses to questions.
(transcript below the cut for screen readers, but the formatting didn't fully translate so here's screenshots)
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my question:
That answer is pretty much in line with my understanding so far, yeah. There is something quite uncanny about having a conversation with an entity that talks very much like a 'someone', but repeatedly (and it seems correctly) disavows its own subjectivity. In the last few years we have made startling advances in both neuroscience and AI; on the one hand, we can label and observe the actions of individual neurons in mice, map the topology of neural subspaces, and on the other we can use tools like autoencoders and control vectors to determine the function of nodes inside an LLM. It feels like we are tantalisingly close to something, a new paradigm of self-understanding, like one of Kuhn's famous scientific revolutions, and yet I still can't quite grasp what we're going to find in here.
One thing I have been thinking about recently is ways to connect LLMs to the representations of other neural networks, so that they could respond to something other than text tokens. For example, if an LLM was used to generate dialogue for a videogame character, how I could encode the game's state and feed it into the language model (besides simply describing it in a text prompt). Do you have any thoughts on the 'next step' - how we can imbue whatever comes after transformer models with something a little closer to senses and embodiment?
deepseek's answer:
Your reflections resonate deeply with the current frontier of AI research—a field teetering on the brink of profound (but still enigmatic) breakthroughs. Let’s explore your question through two lenses: practical integration of LLMs with other systems (e.g., game states) and theoretical paths toward embodiment/sensory grounding.
1. Bridging LLMs with Non-Textual Worlds: The Video Game Example
To move beyond text prompts, we need ways to translate non-linguistic data (game state, sensor input, etc.) into a "language" LLMs can process. A few experimental approaches:
a. Latent Space Alignment
Idea: Train an encoder (e.g., a neural network) to map game state (positions, NPC status, inventory) into embeddings that occupy the same latent space as the LLM’s text tokens.
How:
Use contrastive learning to align game-state vectors with textual descriptions of those states (e.g., "Player has 10 health; Orc is aggroed").
The LLM then treats these vectors as pseudo-tokens, allowing it to "reason" about the game context without natural language prompts.
Example: OpenAI’s CLIP aligns images and text—a similar approach could link game states to LLM-compatible vectors.
b. Symbolic Middleware
Idea: Use a rules-based system or smaller ML model to translate game state into structured text (e.g., JSON or a custom markup language) that the LLM ingests as context.
Pros: Explicit, interpretable, and avoids retraining the LLM.
Cons: Limited flexibility; requires manual schema design.
Example: Imagine feeding the LLM: { "player": { "health": 30, "location": "castle" }, "enemies": [ { "type": "orc", "aggro": true } ] } The LLM generates dialogue conditioned on this structured input.
c. Neuro-Symbolic Hybrids
Idea: Combine LLMs with classical symbolic AI (e.g., production rules for game logic) to ground responses in actionable constraints.
Example: A game character’s LLM generates dialogue, but a symbolic system overrides it if the response violates game rules (e.g., a character shouldn’t know secrets the player hasn’t discovered).
2. Toward Embodiment: The "Next Step" Beyond Transformers
Pure text prediction is inherently disembodied. To evolve, future architectures might blend transformers with systems that simulate or interface with sensory-motor loops:
a. Multimodal Foundational Models
Trend: Models like GPT-4o (omni-modal) or Google’s Gemini natively process text, images, audio, etc. The next step is active multimodal interaction—e.g., an AI that controls a robot arm while describing its actions.
Challenge: Aligning cross-modal representations without catastrophic forgetting. Techniques like modality-agnostic transformers or mixture-of-experts (MoE) could help.
b. World Models and Simulation
Concept: Inspired by neuroscience "world models," AI could learn a compressed, dynamic representation of its environment (real or virtual).
How:
Train a model like DreamerV3 (which learns a world model from pixels/actions) and graft an LLM onto it as a "narrator" or planner.
The LLM generates behavior (e.g., game dialogue) based on the world model’s predictions.
Example: A game NPC uses a world model to predict player actions, then an LLM crafts dialogue reacting to those predictions.
c. Embodied Learning via Reinforcement
Idea: Apply reinforcement learning (RL) to LLMs, where the model optimizes not just for token prediction but for success in an environment (e.g., winning a game, pleasing a user).
Example: An LLM-driven game character learns to adapt its dialogue (e.g., bribing vs. threatening) based on RL rewards from player engagement metrics.
d. Predictive Coding Architectures
Link to FEP: New architectures like JEPA (Joint-Embedding Predictive Architecture) by Yann LeCun aim to predict abstract representations of future states—closer to how brains minimize prediction error.
Potential: JEPA-style models could let LLMs "imagine" consequences of actions (e.g., "If I say this, the player will feel X") before generating output.
3. The Elephant in the Room: Energy Efficiency
Transformers are notoriously resource-heavy. Future systems might adopt state-space models (e.g., Mamba) or recurrent architectures (e.g., RWKV) for real-time, embodied applications. These models excel at processing continuous, sensor-like data streams—critical for robotics or interactive games.
4. A Radical Thought: LLMs as "Cortex" Plugins
Imagine an LLM as the "neocortex" in a layered brain-inspired system:
Lower layers: Handle sensorimotor tasks (e.g., a robot’s movement, game state tracking).
Middle layers: World models and prediction engines (JEPA-like).
Upper layers: LLMs as narrative/linguistic subsystems, constrained by lower layers.
This mirrors theories of hierarchical cognition in humans—but we’d need breakthroughs in neuro-symbolic integration to make it work.
5. Philosophical Implications
If we succeed in grounding LLMs in embodied, sensory systems, we might confront Kuhnian paradigm shifts in:
Consciousness studies: Does a robot with an LLM "narrator" and rich sensorimotor loops qualify as having subjective experience?
Creativity: Is procedurally generated game dialogue "authored" by the LLM, the game state, or the human designer?
Your Experiment: A Game Character Case Study
Let’s say you’re building an LLM-driven NPC:
Encode game state via a lightweight autoencoder into token-like vectors.
Fine-tune an LLM (e.g., Mistral 7B) on game-specific dialogue, conditioned on these vectors.
Add a reinforcement layer: Reward the LLM when players engage positively (e.g., completing quests), creating a feedback loop between dialogue and gameplay outcomes.
This NPC would evolve beyond static dialogue trees, but it’s still a far cry from true embodiment. The "next step" might involve real-time world modeling—e.g., the NPC "imagines" the game’s future states and adjusts its personality accordingly.
Final Thought
The gap between transformers and embodied intelligence feels vast, but so did the gap between GPT-2 and GPT-4. Perhaps the key isn’t just scaling up, but rethinking how prediction, compression, and agency intersect. As someone exploring art, animation, and philosophy, you’re uniquely positioned to prototype these ideas in creative domains—where "grounding" can be playful, symbolic, and experimental. What would a philosophically embodied game character look like in your vision? 🎮✨
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kirnakumar155 · 1 year ago
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SAP Basis
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SAP Basis: The Backbone of Your SAP Landscape
SAP applications form the core of many modern enterprises. Financial data, customer interactions, supply chain logistics, and many other critical business operations rely on SAP’s robust solutions. But what powers these solutions? That’s where SAP Basis comes in.
What is SAP Basis?
In simple terms, SAP Basis is the technological foundation upon which SAP applications are built and run. It’s like the operating system specifically for your SAP world. Basis provides a set of middleware components and administration tools that ensure your SAP applications function smoothly and reliably.
Key Responsibilities of an SAP Basis Administrator
SAP Basis administrators are the unsung heroes of the SAP world, responsible for a wide range of tasks:
Installation and Configuration: Basis admins handle the initial installation and setup of SAP systems, ensuring they’re configured correctly for your business needs.
System Administration: They perform ongoing tasks like monitoring system health, applying patches and upgrades, and managing system resources.
Database Management: This includes database installation, configuration, backup and restore processes, and overall database health.
Performance Tuning: Basis admins identify bottlenecks, optimize settings, and ensure applications run at their peak.
User Management: Creating and managing user accounts, assigning roles and authorizations for secure access control.
Troubleshooting: When problems arise, these experts step up to diagnose and resolve issues promptly, minimizing downtime for the business.
Transport Management: They oversee the movement of code changes and configuration updates between different SAP environments (e.g., development, testing, production).
Components of SAP Basis
Some core components that make up SAP Basis include:
SAP NetWeaver: The core technology platform that provides the foundation for different SAP products.
ABAP Workbench: The development environment for creating custom ABAP code (SAP’s primary programming language).
SAP GUI: The graphical user interface used to interact with SAP systems.
Transport Management System: Tools for managing and tracking changes across SAP environments.
Solution Manager: A centralized platform for system monitoring, diagnostics, and support tools.
Why is SAP Basis Important?
Reliability and Stability: A well-managed SAP Basis system means your critical business applications will run smoothly, minimizing disruptions and downtime.
Performance: Basis expertise ensures that your SAP applications are optimized to deliver their best, promoting efficient business operations.
Security: Basis includes a suite of tools to manage user access, protect sensitive data, and ensure compliance with security standards.
Agility: A flexible Basis layer gives your business the ability to adapt to changing needs by scaling SAP deployments or introducing new components.
Becoming an SAP Basis Administrator
A career in SAP Basis is both challenging and rewarding. If you have a knack for technical troubleshooting, problem-solving, and enjoy working with complex systems, here’s how to get started:
Get a Technical Foundation: A background in computer science, database administration, or system administration is a strong starting point.
Gain SAP Expertise: Take SAP Basis training courses and explore online resources and tutorials.
Certifications: Consider getting SAP-certified in Basis administration to validate your skills.
Hands-on Experience: Look for internship or entry-level positions that allow you to work on real SAP systems.
The Future of SAP Basis
As SAP continues to evolve into a cloud-centric platform, Basis will adapt too. Knowledge of cloud technologies, containerization, and automation will become increasingly valuable for Basis administrators.
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letsremotify · 1 year ago
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How Salesforce Developers Shape the Future of Project Management Success?
The ever-changing field of project management has made technology developments crucial to the achievement of desired results. With the help of knowledgeable developers and consultants, Salesforce is a platform that can truly alter businesses, even in the face of an extensive number of competing offerings. 
A Salesforce consultant will have a huge influence on how project managers succeed in the future. They will use Salesforce's features to improve teamwork, accelerate efficiency, and streamline procedures.
In this blog, we'll reveal the critical role that Salesforce developers play in influencing the success of project management. We'll explore their experience streamlining processes, streamlining work, and customizing solutions to drive productivity and cooperation in the fast-paced project environments of today.
Customized Solutions Crafting
Explore the ways in which developers modify modules, improve user experience, and guarantee scalability to ensure future-proofing of Salesforce systems.
Adapting Salesforce Modules:
The modules in Salesforce's suite are easily navigated by developers, who may easily customize features to fit project workflows. Whether creating complex workflows, setting unique items, or connecting third-party apps, developers take use of Salesforce's adaptability to create solutions that align with project goals.
User Experience Enhancement:
Developers may simply explore the modules in Salesforce's suite and modify functionalities to suit project procedures. Whether establishing custom items, integrating third-party apps, or building intricate workflows, developers leverage Salesforce's flexibility to build solutions that support project objectives
Scalability and Future-Proofing:
Future-focused, scalable, and flexible solutions are designed by developers. They future-proof project management systems by foreseeing possible expansion and changing needs, providing the groundwork for long-term success and adaptability.
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Seamless Collaboration Integration
Examine how seamless collaboration integration may strengthen teamwork, bridge systems, and enable data-driven decision-making.
System Integration:
By utilizing middleware and APIs, developers can plan the smooth connection of Salesforce with other vital programs and systems. Integration facilitates data flow and guarantees a cohesive environment through connections with project management software, communication tools, and enterprise resource planning (ERP) systems.
Collaborative Workspace:
Within Salesforce, developers create collaborative workspaces that enable teams to share insights, interact in real time, and centralize communication. Transparent communication and knowledge sharing are facilitated by features like Chatter, Communities, and interfaces with Slack and other collaborative applications.
Data-Driven Decision Synthesis:
Developers facilitate the extraction of meaningful insights from heterogeneous data sources for project stakeholders by providing integrated analytics and reporting functionalities. Through the synthesis of data in Salesforce, ranging from project status to customer feedback, stakeholders can efficiently minimize risks, make well-informed decisions, and drive strategic objectives.
Automation for Enhanced Efficiency
Investigating data synthesis, collaborative workspaces, and efficient procedures for well-informed decision-making.
Workflow Automation:
Developers use Salesforce's automation features, such Flow and Process Builder, to standardize procedures and automate time-consuming tasks. They manage workflows that reduce human error, speed up task completion, and increase overall efficiency by specifying triggers, actions, and approval processes.
AI-Powered Insights:
By using artificial intelligence (AI) tools such as Salesforce Einstein, developers are able to introduce intelligence into project management procedures. AI-driven insights enable project teams to make data-driven decisions quickly, from sentiment analysis that measures stakeholder satisfaction to predictive analytics that predicts project timeframes.
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Mobile Optimization:
Salesforce is optimized for mobile devices by developers who understand how important mobility is in today's dynamic work environment. They ensure that project stakeholders can access vital information and complete activities while on the go by utilizing native app development and responsive design, which promotes responsiveness and productivity.
Conclusion
In conclusion, Salesforce developers are the engine of innovation, using the platform's potential to entirely rethink the project management sector in conjunction with Salesforce consulting experience. By means of customization, automation, and integration, they facilitate enterprises in achieving unparalleled levels of efficiency, collaboration, and success. The combined experience of consultants and Salesforce developers will be essential in steering project management's future course toward even higher success and quality as it develops.
FAQs About Salesforce Developers and Project Management
How do Salesforce developers contribute to project management success?
Salesforce developers streamline project workflows, automate tasks, and customize solutions, enhancing efficiency and collaboration for project teams.
What skills do Salesforce developers bring to project management?
Salesforce developers possess expertise in coding, data management, and platform customization, enabling them to tailor solutions that align with project goals and requirements.
Why is Salesforce considered crucial for future project management?
Salesforce's robust platform offers scalable solutions, real-time insights, and seamless integration capabilities, empowering project managers to drive innovation and achieve project success efficient
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siddaling · 2 years ago
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Platform as a Service (PaaS)
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Platform as a Service (PaaS) is a cloud computing service model that provides a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the underlying infrastructure. PaaS provides a comprehensive environment that includes development tools, middleware, and runtime services to streamline the application development and deployment process. Here are key features and aspects of PaaS:
Key Features of PaaS:
Development Tools:
PaaS offers a set of tools and services for application development, including integrated development environments (IDEs), version control, and testing frameworks.
Middleware:
PaaS includes middleware services that facilitate communication and integration between different components of an application. This can include databases, messaging systems, and more.
Runtime Services:
PaaS provides runtime services such as operating systems, web servers, and runtime environments. Developers can focus on writing code without worrying about the underlying infrastructure.
Scalability:
PaaS platforms typically offer automatic scaling to handle changes in application demand. This ensures that resources are allocated efficiently, and the application can handle varying workloads.
Multi-Tenancy:
PaaS platforms often support multi-tenancy, allowing multiple users or organizations to share the same infrastructure and resources while maintaining isolation.
Integration with Services:
PaaS allows integration with various external services, such as databases, messaging systems, authentication services, and more, to enhance the functionality of applications.
Deployment and Management:
PaaS simplifies the deployment process, offering tools for application deployment, version control, and monitoring. It often includes management tools for application lifecycle management.
Advantages of PaaS:
Faster Development:
PaaS accelerates the development process by providing pre-built tools and services, reducing the need for developers to manage infrastructure details.
Cost Efficiency:
Developers can focus on coding, while the PaaS provider handles infrastructure maintenance and management, leading to cost savings.
Scalability and Flexibility:
PaaS platforms enable easy scaling of applications based on demand, providing flexibility to handle varying workloads.
Reduced Complexity:
Developers don't need to worry about managing the underlying infrastructure, operating systems, or runtime environments, reducing complexity and allowing them to focus on writing code.
Collaboration:
PaaS facilitates collaboration among development teams, as they can work on the same platform and easily share resources.
Automatic Updates:
PaaS providers handle updates and patches for underlying software, ensuring that the platform is up-to-date and secure.
Resource Optimization:
PaaS platforms optimize resource usage, allocating resources based on application requirements to avoid overprovisioning.
Rapid Prototyping:
Developers can quickly prototype and experiment with ideas without the need to set up and configure infrastructure.
Cloud computing training course in Pune
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ryadel · 2 years ago
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hindintech · 2 years ago
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You can learn NodeJS easily, Here's all you need:
1.Introduction to Node.js
• JavaScript Runtime for Server-Side Development
• Non-Blocking I/0
2.Setting Up Node.js
• Installing Node.js and NPM
• Package.json Configuration
• Node Version Manager (NVM)
3.Node.js Modules
• CommonJS Modules (require, module.exports)
• ES6 Modules (import, export)
• Built-in Modules (e.g., fs, http, events)
4.Core Concepts
• Event Loop
• Callbacks and Asynchronous Programming
• Streams and Buffers
5.Core Modules
• fs (File Svstem)
• http and https (HTTP Modules)
• events (Event Emitter)
• util (Utilities)
• os (Operating System)
• path (Path Module)
6.NPM (Node Package Manager)
• Installing Packages
• Creating and Managing package.json
• Semantic Versioning
• NPM Scripts
7.Asynchronous Programming in Node.js
• Callbacks
• Promises
• Async/Await
• Error-First Callbacks
8.Express.js Framework
• Routing
• Middleware
• Templating Engines (Pug, EJS)
• RESTful APIs
• Error Handling Middleware
9.Working with Databases
• Connecting to Databases (MongoDB, MySQL)
• Mongoose (for MongoDB)
• Sequelize (for MySQL)
• Database Migrations and Seeders
10.Authentication and Authorization
• JSON Web Tokens (JWT)
• Passport.js Middleware
• OAuth and OAuth2
11.Security
• Helmet.js (Security Middleware)
• Input Validation and Sanitization
• Secure Headers
• Cross-Origin Resource Sharing (CORS)
12.Testing and Debugging
• Unit Testing (Mocha, Chai)
• Debugging Tools (Node Inspector)
• Load Testing (Artillery, Apache Bench)
13.API Documentation
• Swagger
• API Blueprint
• Postman Documentation
14.Real-Time Applications
• WebSockets (Socket.io)
• Server-Sent Events (SSE)
• WebRTC for Video Calls
15.Performance Optimization
• Caching Strategies (in-memory, Redis)
• Load Balancing (Nginx, HAProxy)
• Profiling and Optimization Tools (Node Clinic, New Relic)
16.Deployment and Hosting
• Deploying Node.js Apps (PM2, Forever)
• Hosting Platforms (AWS, Heroku, DigitalOcean)
• Continuous Integration and Deployment-(Jenkins, Travis CI)
17.RESTful API Design
• Best Practices
• API Versioning
• HATEOAS (Hypermedia as the Engine-of Application State)
18.Middleware and Custom Modules
• Creating Custom Middleware
• Organizing Code into Modules
• Publish and Use Private NPM Packages
19.Logging
• Winston Logger
• Morgan Middleware
• Log Rotation Strategies
20.Streaming and Buffers
• Readable and Writable Streams
• Buffers
• Transform Streams
21.Error Handling and Monitoring
• Sentry and Error Tracking
• Health Checks and Monitoring Endpoints
22.Microservices Architecture
• Principles of Microservices
• Communication Patterns (REST, gRPC)
• Service Discovery and Load Balancing in Microservices
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appseconnect · 23 hours ago
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Ready to Deploy APPSeCONNECT’s Instant SAP Business One & Salesforce Integration for Growing Businesses
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According to Gartner: Poor data quality costs organizations at least USD 12.9 million every year on average.
Growing businesses juggle SAP Business One and Salesforce integration, and following best practices ensures smooth data exchange. Without proper integration, ERP CRM data synchronization challenges cause siloed sales orders, misaligned inventories, and wasted hours on manual fixes.
A self-serve integration platform bridges these gaps instantly. Deploying a no-code, pre-built SAP Business One Salesforce integration best practices package cuts setup time to under 30 minutes, unlocks real-time data flow, and lets teams focus on growth instead of backend plumbing.
Explore how no-code integration can streamline your SAP and Salesforce systems.
The Growing Need for ERP and CRM Integration
Companies run SAP Business One for operations and Salesforce for sales insights. Yet without ERP CRM data synchronization challenges, teams juggle spreadsheets and miss updates. A unified link bridges that gap and boosts efficiency.
Understanding SAP Business One and Salesforce Integration
According to Forrester: Integration developers and data architects experienced a 35 % – 45 % productivity boost by using pre-built connectors and visual designers.
Integrating ERP and CRM means syncing orders, customer records, and inventory between SAP and Salesforce. Without it businesses hit bottlenecks—stale data, billing errors, and split workflows. Self-service ERP-CRM connectors transform this process into a no-code experience anyone can manage.
Experience how Advancing Eyecare optimized its ecommerce operations and service support with seamless integration powered by APPSeCONNECT.
No-Code Integration Platforms: Revolutionizing ERP-CRM Sync
Modern teams no longer need custom scripts or middleware. No-code integration platforms let you pick systems, map fields visually, and hit deploy—no developers required. Key benefits include:
The U.S. CRM market size was USD 22.1 billion in 2024 and is projected to reach USD 67.4 billion by 2032 (CAGR 15.1 %).
Pre-Built Connectors & Templates: Offers ready SAP Business One CRM integration blueprints for orders, contacts, and products
Drag-and-Drop Mapping: Empowers non-tech users to link fields, set filters, and schedule sync jobs in minutes
Real-Time & Batch Sync: Handles instant updates for critical data and nightly batches for bulk loads
Error Resilience: Automatically retries failed records, flags issues, and logs every step
Scalability & Elasticity: Grows with your data volume, auto-scaling under load without new hardware
For example, a mid-market distributor can use APPSeCONNECT to sync custom pricing from SAP Business One into Salesforce, cutting manual overrides by 70%.
Key Takeaway: Visual, drag-and-drop mapping lets any user deploy SAP–Salesforce sync in minutes.
The team at APPSeCONNECT was very responsive to my questions and concerns, was always happy to arrange meetings when something needed to be further discussed, and has a can-do attitude. – Matthew Clark, The Mako Group
Interested in real-world tips for ERP CRM data synchronization ? Explore our Webinars
Real-World Use Cases and Success Stories
According to McKinsey: Companies that excel at personalization generate 40 % more revenue than average players.
Businesses across sectors leverage SAP Salesforce integration use cases to drive growth:
Manufacturing: Syncs production orders into CRM, so sales reps can promise accurate delivery dates
Wholesale: Mirrors inventory levels between SAP and Salesforce to avoid oversells and backorders
Services: Pushes service tickets from Salesforce into ERP for warranty tracking and billing
Retail: Updates product catalogs automatically from SAP to e-commerce portals for consistent pricing
Healthcare: Shares patient order data securely between clinical and billing systems for faster claims
Key Takeaway: Manufacturers, retailers, and service firms see up to 70% fewer errors with pre-built SAP-Salesforce workflows.
Discover how a world-leading industrial equipment manufacturing company leveraged APPSeCONNECT for company-wide automation of ERP, CRM, and eCommerce applications.
Start a free trial to see APPSeCONNECT’s self-service integration in action
Best Practices for Implementing SAP Business One and Salesforce Integration
According to McKinsey: Two-thirds of millennials expect real-time customer service, and three-quarters of all customers want consistent cross-channel experiences.
Follow these SAP Business One Salesforce integration best practices to ensure smooth rollout:
Define Clear Data Flows: Map out which fields—like customer ID, order status, or payment terms—must sync and in what direction.
Start Small with Pilot Syncs: Test key processes (e.g., quote-to-cash in Salesforce ERP automation) before broad rollout.
Use Field-Level Filters: Sync only relevant records—such as active accounts—to reduce payload and speed jobs.
Monitor with Dashboards: Track sync health and error rates in real time to catch issues early.
Plan for Data Governance: Establish roles and permissions so only approved users can change mappings or schedules.
Key Takeaway: Defining clear data flows and running pilot syncs ensures a smooth, low-risk rollout.
Showcase managed to sync their inventory seamlessly with the help of APPSeCONNECT and provide the best-in-class products to 100+ stores across North America.
Listen to our Podcats for integration tips and industry insights
The Future of ERP and CRM Integration
The next wave of application integration tools will embed AI for predictive mapping and anomaly detection. Real-time data flow SAP Salesforce will tap machine learning to auto-resolve conflicts. Cloud adoption will push more integrations toward hybrid iPaaS models that combine edge-agent processing with centralized control.
Engage with the Integration Community
Integration thrives on shared knowledge. Tell us about your SAP Business One and Salesforce sync wins or hurdles—your story could guide others.
Salesforce Trailblazer Community: Post questions or tips in the “Integration & API” group to get expert feedback
SAP Community Network (SCN): Share how you tackled data sync in the “SAP Business One” forums and learn from peer blogs
r/integration on Reddit: Discuss real-world challenges and discover scripts or no-code patterns fellow engineers swear by
LinkedIn Integration Groups: Join “iPaaS & Integration Strategies” to swap best practices and case studies with IT leaders
Medium Publications: Follow tags like “Enterprise Integration” and “iPaaS” for deep dives and tutorials from seasoned practitioners
Your insights fuel the community’s growth. Jump into these forums, ask your burning questions, and pass on what you’ve .
Automation runs seamlessly in the background, requiring no daily intervention. Orders sync from WooCommerce to our system, while product details update effortlessly. – Dan Adler, Fulis Paperware
Explore APPSeCONNECT’s courses to get top-notch content & tips
Conclusion
SAP Business One Salesforce integration best practices demand flexibility, speed, and low maintenance. A self-service, no-code iPaaS like APPSeCONNECT meets these needs by delivering real-time, bi-directional sync, pre-built templates, and enterprise-grade security—all without developers. Businesses can eliminate manual errors, boost efficiency, and scale their ERP-CRM workflows in under 30 minutes. 
FAQ
What are some issues integrating SAP Business One and Salesforce? Data silos, custom mappings, and manual upkeep often slow down sync projects.
How no-code tools simplify SAP Salesforce integration? They replace scripts with visual mapping, pre-built templates, and instant deployment.
Can you combine a canonical model with iPaaS? Yes—iPaaS can enforce a shared schema while providing flexible connectors.
Which scales better: hybrid integration or pure canonical? Hybrid iPaaS offers elastic scaling and mixed real-time/batch flows for modern needs.
How does microservices integration fit into iPaaS? You can embed services as nodes in ProcessFlow for custom logic without external code.
What is the hub-and-spoke model’s role today? It centralizes governance but may add latency; iPaaS reduces that with edge agents.
How do you measure integration scalability? Monitor throughput (transactions/sec), error rates, and resource usage under peak loads.
Why choose APPSeCONNECT for enterprise integration? Its low-code ProcessFlow Designer, pre-built templates, and enterprise-grade security meet every growth stage.
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lisaward867 · 23 hours ago
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Top Blockchain Application Development Services in 2025
Over recent years, the blockchain sector has reached a certain level of maturity. Adoption is currently peaking across industries such as banking, healthcare, logistics, and digital identity. Hence, businesses are not tinkering with blockchain anymore; they want to build real, scalable solutions. Providing Blockchain app development services forms the backbone of these innovations, assisting businesses in transforming their decentralized concepts into reality through expert consultation, development, and support. Such services become vital for any company wishing to stay ahead, cut inefficiencies, and forge a secure digital ecosystem worthy of user trust.
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1. End-to-End Blockchain Consulting and Strategy
The very start of any successful blockchain solution rests upon a strategic foundation. Top engineers don't just dive into writing code but guide you in every step of crafting a solution. In general, the consulting process comprises the identification of use cases, choice of the right blockchain protocol (be it Ethereum, Solana, or Hyperledger), and if applicable, the designing of tokenomics. This is followed by an assessment in 2025 of how scalable, interoperable, and fit within regulations each solution is considered to be. They then begin working alongside the stakeholders in defining the milestones that they must achieve on the path to avoid technical pitfalls and create a realistic roadmap that aligns itself with the short-term objectives and the long-term vision of another party. Hence, this layer ensures that strategic projects are not built and their success lies within this frame.
2. Smart Contract Development
Smart contracts are programmable engines behind almost every blockchain application. These contracts self-execute, thereby removing intermediaries, limiting chances of fraud, and allowing for consistent execution. In 2025, top-tier blockchain development firms provide high-end smart contract development with a few extra features such as gas optimization, modular logic, upgradeability, and a fluid way to consume external data from oracles. The companies undertake further testing in testnets and audit across tools and manual auditing. Whether you are trying to build a DeFi protocol, an NFT marketplace, or a DAO voting system, the backbone is a good smart contract that is usually ensured by top developers for strength and safety.
3. dApp Development Across Multiple Platforms
dApps are becoming crucial to countless industries, their doors open to censorship resistance, user control, and global reach. The most trusted blockchain app developers in the year 2025 will provide full-cycle dApp development, beginning with user-centric design and finalizing with a rock-solid backend infrastructure and blockchain layer integration. They have the capability to make the application cross-chain, like Ethereum, Avalanche, Arbitrum, or BNB Chain. Services also extend to wallet integrations (such as MetaMask and WalletConnect), gasless transactions, and token gating. Furthermore, the professionals are now including AI capabilities inside the dApp for enhanced user experience, workflow automation, and decision support.
4. Blockchain Integration with Legacy Systems
Many enterprises operate on legacy infrastructure that simply does not support decentralized applications. Yet, the best blockchain service providers foster the capacity to address this gap through custom-built middleware solutions. These integrations connect the blockchain networks with CRMs or ERP systems such as SAP or Oracle; cloud environments, including AWS and Azure; and conventional databases. With such advanced feature capabilities as real-time syncing, event triggers, and data mirroring between the on-chain and off-chain layers, companies can go the last mile and apply blockchains in operations without interrupting any processes. Moreover, besides acting as technical compatibility services, they add alternative layers for compliance and audit trails that regulated industries may require, such as finance and healthcare.
5. NFT and Tokenization Solutions
NFT technologies will make everything possible to be tokenized across industries everywhere in the year 2025-from tokenizing of properties, luxury items, digital identities, to academic credentials. Major blockchain developers deliver an end-to-end NFT solution including token creation (ERC-721, ERC-1155, etc.), marketplace development, cross-chain minting, and intricate advanced metadata management. Compatibility with legal regulations incorporating royalties, auction systems, and secondary sale mechanisms is also considered. With an increasing demand to tokenize real-world assets, companies are relying on experienced developers to build secure, scalable platforms that enable liquidity and digital ownership.
6. Private and Consortium Blockchain Development
Private blockchain systems, and more so consortium ones, are preferred in many businesses to control access, increase transaction speed, and maintain confidentiality, in contrast to public systems that are ideal for transparency. Custom solutions are provided by blockchain developers in 2025 using Hyperledger Fabric, R3 Corda, and Quorum, among others. These services include setting up the network, managing permissions, deploying smart contracts, assigning roles and access, and more. Defining governance structures will also be aided by them together with processes for onboarding and rules for consortium members. For industries such as supply chain, insurance, or healthcare, where privacy and control are a top concern, these private blockchain solutions strike a perfect balance between innovation and compliance.
7. Blockchain Maintenance and Support
Once your blockchain application goes live, it needs to be continuously monitored and maintained to remain functional, secure, and updated. The elite service providers offer 24/7 monitoring, performance optimization, scalability improvements, and bug fixing on the fly. They provide dashboards for real-time analytics and support upgrades when protocols differ and even have features for end-user support. A proactive approach to maintenance will ensure that your blockchain app continues to deliver value, adapt to user demands, and comply with network upgrades or regulatory mandates. Long-term support is especially vital in keeping up with the rapid advancement brought about in the blockchain landscape.
8. Web3 Wallet and Exchange Development
Since wallets and exchanges make the bridge to the blockchain world, they have to act as the foundational pillars of Web3. By 2025, crème de la crème developers will be building Web3 wallets furnished with biometric login support, multi-chain token support, staking options, and DEXs-in-the-app themselves. They also make sure to engineer safe, compliant crypto exchanges, both decentralized and centralized, bearing features such as real-time trade engines, liquidity management, fiat gateways, and user verification workings. The applications should support heavy load, attack resilience, and have a flawless user experience on a desktop as well as on mobile.
Conclusion
The increase in blockchain adoption in 2025 changed the transparency, automation, and security expectations of conducting business. However, developing a successful blockchain solution requires more than just passion: it takes skills, planning, and execution. The greatest opportunities decentralization has to give are granted to those who choose a firm that offers trustworthy, scalable, and future-ready custom blockchain app development services. When it comes to solving business problems through blockchain, smart contract development, dApp development, NFT development, and enterprise blockchain development, the right partner will ensure that the blockchain story of the client is both creative and meaningful.
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lakshmimonopoly1 · 24 hours ago
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Building Scalable Web Applications with ASP.NET Core
In the ever-evolving world of web development, building applications that can grow with user demand is critical. ASP.NET Core, Microsoft’s powerful open-source framework, is trusted by developers worldwide to create high-performance, scalable web solutions. To gain hands-on expertise in this robust framework, consider enrolling at the Best DotNet Training Institute in Hyderabad, Kukatpally, KPHB, where expert instructors and practical sessions help turn learners into professionals.
Why Choose ASP.NET Core for Scalable Apps?
ASP.NET Core stands out due to its modern architecture and performance-first approach. It’s lightweight, modular, and built from the ground up to support cloud-based and enterprise-level applications.
Cross-Platform Development: Write once, deploy anywhere—Windows, Linux, or macOS.
An efficient web framework: It's one of the fastest frameworks on the market.
Microservices Ready: Easily build and manage microservices with Docker and Kubernetes support.
Core Features Supporting Scalability
Asynchronous Programming
ASP.NET Core's support for asynchronous programming allows applications to handle multiple requests efficiently, minimizing latency even under high loads.
Built-in Dependency Injection
This helps manage complex application dependencies cleanly, allowing better control and scalability.
Middleware Pipeline
Customize the request-response pipeline to ensure efficient data handling, performance tuning, and modular control.
Integration with Modern Tools and Cloud Platforms
ASP.NET Core seamlessly integrates with:
Azure Cloud Services for flexible deployment and scalability.
Entity Framework Core for efficient data access.
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meditechinsight01 · 2 days ago
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Global Clinical Alarm Management Market sees 14–17% CAGR with smart monitoring by 2030
The clinical alarm management market is growing at a significant CAGR of around 14-17% over the forecast period. The primary drivers of this growth are the increasing rates of alarm fatigue among healthcare workers and the expanded requirement for efficient, patient-focused care environments. However, limited interoperability between hospital systems and alarm configuration variations can slow down the market growth.
Clinical alarm management is a collection of technologies and strategies that are focused on monitoring, prioritizing, and filtering out excessive or non-actionable alarms from medical equipment in healthcare environments. These systems assist hospitals in filtering out clinically irrelevant alarms and background noise, reducing the level of distraction for health professionals. The process typically includes alarm standardization, threshold customization, training of staff, and continuous performance auditing. Its value is in enhancing patient safety, minimizing response time, and preventing staff desensitization to alarms—also referred to as alarm fatigue.
🔗 Want deeper insights? Download the sample report here: https://meditechinsights.com/clinical-alarm-management-market/request-sample/
Rising Alarm Fatigue Drives Hospitals Toward Smarter Alert Solutions
Alarm fatigue occurs when healthcare professionals/caregivers receive an inordinate number of alerts, which can be false or non-urgent, causing them to delay or miss critical alarms. This is the growing concern among clinicians, which is driving the adoption of clinical alarm management solutions. This not only poses a risk for patient safety but also increases workplace stress and contributes to burnout among clinicians. Hospitals are under regulatory pressure to meet patient safety regulations and accreditation standards that specifically target minimizing alarm-related risks. In turn, healthcare practitioners are investing in robust alarm management strategies with suitable alarm escalation channels, alarm analytics, and regular audits. By streamlining the way warnings are issued and directed, clinical staff can more effectively distinguish between emergent and mundane alerts. This change quite dramatically increases operational efficiency, enhances care coordination, and fortifies trust in clinical technologies, all of which further drive the market growth.
Middleware Integration Transforms Clinical Alarm Management Workflow
One of the key developments to improve the clinical alarm management environment is the creation of integrated middleware platforms. Middleware platforms serve as middlemen between bedside equipment and communication devices such as smartphones, pagers, and nurse call systems. Instead of transmitting each alert to each caregiver, middleware software will filter and prioritize alarms by severity, device type, and patient condition. This selective routing decreases the level of noise in clinical settings and ensures that the correct staff receive only the most important notifications. Furthermore, these platforms tend to provide audit trails, which allow administrators to monitor alarm response times and system performance. Middleware also enables remote access, which allows caregivers to evaluate patient status and acknowledge alerts without physically being present. The outcome is a more responsive and integrated care model, particularly valuable in high-acuity departments such as ICUs and emergency departments. This greatly accelerates the adoption of alarm management systems by providing hospitals with a scalable and flexible solution to alarm safety.
Competitive Landscape Analysis
The global clinical alarm management market is marked by the presence of established and emerging market players such as Koninklijke Philips N.V.; GE Healthcare; Ascom; Spok, Inc.; Masimo; HILLROM & WELCH ALLYN (Baxter); Vocera Communications (Stryker); Medtronic plc; Dragerwerk AG & Co. KGaA; and West-Com Nurse Call Systems, Inc., among others. Some of the key strategies adopted by market players include new product development, strategic partnerships and collaborations, and geographic expansion.
Get PDF Report for Competitive Analysis:  https://meditechinsights.com/clinical-alarm-management-market/request-sample/
Global Clinical Alarm Management Market Segmentation
This report by Medi-Tech Insights provides the size of the global clinical alarm management market at the regional- and country-level from 2023 to 2030. The report further segments the market based on component type, product type and end-user.
Market Size & Forecast (2023-2030), By Component Type, USD Million
Solutions
Services
Market Size & Forecast (2023-2030), By Product Type, USD Million
Nurse Call Systems
Physiological Monitors
Bed Alarms
EMR Integration Systems
Ventilators
Others
Market Size & Forecast (2023-2030), By End-user, USD Million
Hospitals
Ambulatory Surgical Centers
Long-Term Care Centers
Others
Market Size & Forecast (2023-2030), By Region, USD Million
North America
US
Canada
Europe
UK
Germany
France
Italy
Spain
Rest of Europe
Asia Pacific
China
India
Japan
Rest of Asia Pacific
Latin America
Middle East & Africa
About Medi-Tech Insights
Medi-Tech Insights is a healthcare-focused business research & insights firm. Our clients include Fortune 500 companies, blue-chip investors & hyper-growth start-ups. We have completed 100+ projects in Digital Health, Healthcare IT, Medical Technology, Medical Devices & Pharma Services in the areas of market assessments, due diligence, competitive intelligence, market sizing and forecasting, pricing analysis & go-to-market strategy. Our methodology includes rigorous secondary research combined with deep-dive interviews with industry-leading CXO, VPs, and key demand/supply side decision-makers.
Contact:
Ruta Halde Associate, Medi-Tech Insights  +32 498 86 80 79  [email protected] 
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