- University of California, Berkeley
- Hintz Consulting2015 - presentInfrastructure; Enterprise Cloud
- CENICCloud / Infrastructure, 2005 - 2015
- University of California Corporate HeadquartersDirector, Technology Services
For a long time I have been adding names to villages in Southeast Asia generally without "Phumi" in Cambodia or "Ban" in Lao. I adopted this convention because the map got crowded with the additional word in some locations.
Do mappers have an opinion about this?
For years I have been mapping long roads that go from village to village in remote areas as Regional Highways, even if they are unpaved and one lane. Let me know if you have questions about any of my additions.
--Barbican - REST API designed for the secure storage, provisioning and management of secrets https://wiki.openstack.org/wiki/Barbican --Anchor - an ephemeral PKI system built to enable cryptographic trust in OpenStack services https://wiki.openstack.org/wiki/Security/Projects/Anchor --castellan - Generic Key Manager interface for OpenStack https://github.com/openstack/castellan --Bandit - OpenStack security linter for Python https://wiki.openstack.org/wiki/Security/Projects/Bandit
Around 18:43 Bryan mentions the objective of getting a secure OpenStack for free. The naive hope would be for the project, not a value added vendor, to provide a secure OpenStack distro, with long term support, with enough function to perform "enterprise" computing. (I said it was naive.)
A few, now somewhat stale, thoughts on datacenter selection criteria Some criteria Microsoft uses more than 35 factors in selecting locations. Power availability Power cost,"Availability of fiber networks," "Proximity to end-users," Water availability Wat...
-Kyle's thinking about taking academic work on distributed systems and translating the concepts to actionable code for the masses
-code language decisions
-Kyle mentioning he's approaching from a Physics, not CS background
--what's the intersection of the mainframe IT Walmart world and the Walmart Lab world?
--if the seasonal/peak loads were handled by the in-place hardware, what load was shed, if any? If no load was shed or deferred by Workload Manager, does that mean the CPU is oversized for median work?
--are the disks flash?
--what percentage of transactions are committed to legacy IMS? DB2? The roll your own DB?
--who evaluated the corporate risk of using a roll your own DB in prod? How does it handle consistency and availability?
--what's the drill down meaning of "no failures"? No transaction failures? No hardware failures? No network failures (seems unlikely)? How was this evaluated?
--all content caching is handled at the mainframe level, so no CDN at edges?
--where is HTTPS handled?
--what's the average age of the people working on mainframe, especially IMS?
--How does Walmart decide what apps to put on mainframe, tailored for CICS, and which for somewhere else?
--are apps passing messages between mainframe and non mainframe using some MQ tech? What is it?
--what's the code base? Is it changing?
--what's the strategy for handling technical debt?
--how often do they deploy code to prod?
--[and so on]
Hire only coders
Have an SLA for your service
Measure and report performance against SLA
Use error budgets and gate launches on them
Common staffing pool for SRE and DEV
Excess Ops work overflows to Dev team
Cap SRE operational load at 50%
Share 5% of Ops work with Dev team
Maximum of 2 events per oncall shift per person is all that's possible
minimum group size of 8 people (8 people x1 location or 6x2)
Post mortem for every event
Post mortems are blameless and focus on process and technology, not people
common staffing pool for developers and SREs (self regulating)
50% cap on Ops work (rest on writing code)
5% of operational load handled by Dev
excess operational load (tickets, oncall, etc.) always goes to Dev (self regulating)
no requirement for an SRE to stay with a project
goals for each outage: minimize impact & prevent recurrence
@45:20 NOCs are a stateful or non-stateful load balancer that add latency
@47:30 wheel of misfortune; pie chart with observed disruptions
develop event timeline
create bug reports for all follow up work
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