Blockchain Technology

  Most writing about blockchain ERP integration stops at the decision. Public or permissioned, which pattern, which platform, whether to proceed at all. That material matters, and it is reasonably well covered. What gets far less attention is the part that determines whether the integration is still running two years later. Integrations rarely fail on launch day. Launch day is the happy path: rehearsed, staffed by the people who built it, with a counterparty who is paying attention. They fail later, quietly, in the gap between a ledger that cannot be edited and an ERP that gets corrected every week. This is a description of that gap, and of what to ask a delivery partner before you sign anything. A pilot proves the part that was never going to break A pilot demonstrates that an event can leave your ERP, reach a ledger and come back. That path is the easy one. It is deterministic, it was written first, and it receives most of the test coverage. The system you actually operate is def...

  By the time this question reaches an architecture review, it has usually been settled by someone's risk appetite. Legal wants a permissioned network. The product team wants reach and liquidity. Everyone argues about throughput and privacy, and nobody writes down the one thing that would actually settle it. The permissioned versus public question is downstream of a simpler one: Who needs to verify your data without trusting you? Answer that honestly and most of the technology choice falls out of it. Start with the trust boundary, not the technology A blockchain is a machine for producing shared state that mutually distrustful parties can agree on without a referee. Everything else it does, a database does faster and cheaper. So the first exercise is not architectural. Write down every party that will read or write this data. Mark the ones your organization controls. Then ask: if one of the parties you do not control suspected you had quietly edited a record, what would convince th...

  The honest version of this comparison in 2026 is that it is not a three-way choice anymore. That is the first thing a buyer needs to know, and it is not what most comparison articles say. Platform selection posts tend to age badly because they compare architecture and throughput, which change slowly, while ignoring maintenance status, which changes suddenly and matters far more. Quorum is a migration question, not a platform choice Consensys has archived the GoQuorum repository. The project is no longer actively maintained or supported, and Consensys states plainly that it should not be used for new projects. Tessera, the private transaction manager that GoQuorum depends on for private transactions, is also no longer supported. Both are checkable in a minute on GitHub, and any vendor still presenting GoQuorum as a live option for a 2026 build has either not looked or is hoping you will not. To be clear about what this does and does not mean. Existing networks do not stop working....

  The interesting thing about enterprise blockchain in 2026 is not that adoption grew. It is that the surviving use cases cluster tightly in one band and the abandoned ones cluster just as tightly in another. The pattern is consistent enough to use as a filter before you spend anything. The short version: a shared ledger earns its place when it removes a reconciliation between organisations that will not accept each other's records. If it only removes a spreadsheet inside one organisation, you are buying an expensive database with a governance committee attached. The four conditions Run any candidate through these. Three or four, look seriously. Two or fewer, build the boring thing. More than one organisation writes to the record. None of them will accept another's copy as authoritative. Disagreement is measurably expensive: reconciliation headcount, settlement delay, cost of funds, failed trades, dispute resolution. Someone outside the group, usually a regulator or an...

Most blockchain projects that blow their budget and timeline didn't fail in development — they failed in scoping. Vague requirements, unstated assumptions, and no clear line between "proof-of-concept" and "production" are what turn a three-month build into a year-long slog. Scoping well is unglamorous, but it's the phase that determines whether everything after it goes smoothly. Here's how to do it properly. Start before the technology: define the problem The first scoping mistake is starting with "we want to build on blockchain" instead of "here's the problem we're solving." Scope the problem first: What exactly are you trying to achieve, and for whom? Who are the parties involved, and what's the trust relationship between them? What does success actually look like in measurable terms? And the question a good partner forces early: does this genuinely need a blockchain? If there's no multi-party trust prob...

  Once a business commits to blockchain, one decision quietly shapes cost, timeline, and risk more than almost any other: do you build custom software from scratch, or buy an existing platform and configure it? The instinct is often to build — custom feels more serious, more differentiated. Frequently it's the wrong instinct. Here's how to think about the trade-off honestly, including the middle path most successful projects actually take. The real question isn't "build or buy" It's "what part of this is genuinely your differentiator?" You should build the parts that make your product unique and buy or reuse everything that's a solved problem. Companies get into trouble by building things that already exist — rewriting token standards, wallets, or marketplace mechanics that mature, audited solutions already handle. The goal is to spend your budget and risk on what actually sets you apart, not on reinventing infrastructure. Buying (or conf...

 "We'll write you a smart contract" sounds simple, and that's exactly the misconception that gets projects into trouble. A smart contract isn't just code — it's self-executing code that controls real value, can't be quietly patched after deployment, and becomes the literal agreement between parties. Custom smart contract development is the discipline of getting that right. Here's what the work actually involves, start to finish. What a custom smart contract actually is A smart contract is a program deployed on a blockchain that executes automatically when its conditions are met, without an intermediary. "Custom" means it's built around your specific business logic — your token mechanics, your rules, your compliance requirements — rather than a copy-paste template. The defining property that shapes everything else: the code is the agreement, and once deployed it's very hard to change. A bug isn't a support ticket you fix nex...

Most blockchain articles talk in abstractions — "transforming industries," "unlocking value." That's not useful when you're trying to decide whether blockchain solves a problem you actually have. So this piece does the opposite: concrete use cases where custom blockchain solutions deliver real business value, what each one actually solves, and — just as important — where blockchain is the wrong tool. The one thing every real use case has in common Before the examples, the filter that separates genuine use cases from hype: blockchain earns its place when multiple parties need to share data and trust it without trusting each other , or when you need verifiable ownership, programmable assets, or tamper-evident records that no single party can quietly alter. If a problem doesn't involve multi-party trust, verifiability, or shared state, a conventional database is almost always cheaper and better. Keep that test in mind as you read — it's what makes...