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I'm a huge fan of open source and open standards, in fact I always push for and expect portability and avoid proprietary systems where possible. Abstractions li
by salmonlogs 6y ago
I'm a huge fan of open source and open standards, in fact I always push for and expect portability and avoid proprietary systems where possible. Abstractions like Kubernetes are a fantastic middle ground to provide portability across platforms whilst taking advantage of cloud provider services where they exist. The same for apps and frameworks built on open standards like Kubeflow and Apache Beam.
The supporting services and systems come when you run services that require strong guarantees for reliability and resiliency, and meeting the needs of different lines of business.
If I think of a mid-size company that wants to run these kind of workloads and demands minimal downtime, resilience against local disaster and minimal data loss:
- Customer facing applications in a reasonable scalable manner to meet peaks and troughs of demand without needing to size of peak demand
- CRM/ERP systems to manage customer data, payments, sales processes and inventory that CANNOT have corrupted or lost data
- Data platforms for running reasonable scale analytics and analysis on reasonable size volumes of data (say a few Petabytes online accessible, analyse 10s of Terabytes per quer)
- Capability for mid-level machine learning and access to modern acceleration hardware, up to date GPUs and maybe some NVIDIA Ampere type equipment
- Tools and platforms for operations and security that can capture, store and analyse all the logs produced by all those systems, plus some half decent cyber services - network level netflow analysis, maybe IDS if you are feeling fancy, endpoint scanning and analysis, threat intelligence capabilities to correlate against all of that data
- Tooling and platforms for developers - source control, artifact repositories, container registries, CI platforms like Jenkins ideally with automated security scanning integrated, CD for deployments like Spinnaker to canary and deploy your releases safely
- Networking for all of that equipment, ideally private backbones, leased Ethernet or MPLS - and that all needs to be resilience, redundant and duplicated
- Storage for all of the above that meets performance and cost needs, replicated, and backed up offline
Yes, you can do all of that yourself! But let's be clear, buying a server on eBay is not even a fraction of 1% of the reality of running real infrastructure for real systems for real businesses. There ARE reasons why you might do this but that is increasingly the exception due to either extreme scale, regulatory and privacy requirements typically from data sovereignty or very unique hardware requirements.
- 1337shadow 6y agoI'm not talking about /buying/ a server, but renting one as a service. 99.9% uptime is plenty enough for 99.9% of projects and that's easy to achieve with one server, k8s is not necessary here. You're not concerned with MPLS or whatnot when you rent a server. I can tell because I'm running governmental websites on this kind of servers actually, with over a thousand admins managing thousands of user requests. I've been deploying my code on servers like that for the last 15 years and it was great really, also got fintech/legaltech project in production and much more. I guess the project you're describing falls more in the 0.1% of projects than 99.9%.
- salmonlogs 6y agoThe issue for me is that 99.9% uptime isn't a useful or meaningful metric. End users only care about the experience and if the application isn't performant, reliable and durable it doesn't matter if the lights are flashing - they will tell you that it's not working as intended. And when you rely on SLAs from third party providers the liability is not equally shared; they might credit you some % of your bill if its offline, but your reputational impact and opportunity cost is likely orders of magnitude greater. You also can't control how that 99.9% will happen, and more often than not its going to happen at the worst possible time (payroll dates, reports due, board need statistics etc.) Mitigating these failures will always lead you down the path of replication, load balancing, high availability or at the very least frequent backups and restore strategies. And all of that is going to need to be done across multiple physical locations because I am never going to stake my reputation on a single physical site not losing power, connectivity or cooling. Now you are in the realms of worrying about network reliability, bandwidth availability for those replication and backup services in a way that doesn't impact user applications. And monitoring all of that, managing failures etc. etc. As someone who helps organisations with their IT strategy and overall budget allocation process the focus is always on delivering reliable applications to customers and business users. Using a cloud provider helps us to ignore all the complexity behind the scenes that require significant investment in people and resources to manage once you hit a non-trivial scale. Paying a premium to do that is absolutely worthwhile compared to the downside of it going wrong, and the opportunity cost of wasting time on minute details that do not add value. [Edit] And for context I DID used to buy servers one eBay for testing and development, and then migrated to bare metal colo, and all the while thought I was winning and it was cheaper. But over the years I've experienced enough issues and worked with enough companies to understand this was a false economy and now see the errors of my decisions and seek to help others avoid them.