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pg_dump is a nifty utility designed to output a series of SQL statements that describes the schema and data of your database. You can control what goes into your backup by using additional flags.
Backup:pg_dump -h localhost -p 5432 -U postgres -d mydb > backup.sql
Restore:
psql -h localhost -p 5432 -U postgres -d mydb < backup.sql
-h is for host.
-p is for port.
-U is for username.
-d is for database.
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-protect-stacks.html | |
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-monitor-stack.html | |
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-direct.html | |
* Describes the S3 buckets that AWS manages if you don't supply one - for all stacks we're not setting a bucket explicitly, is this happening? | |
>>> head = 9 | |
>>> ranks = [9, 8, 7, 6, 5] | |
>>> range(head, head-5, -1) | |
[9, 8, 7, 6, 5] | |
>>> range(head, head-5, -1) == ranks | |
True | |
>>> ranks.pop(0) | |
9 | |
>>> ranks.pop(0) == 9 | |
False |
Much of this is related to stalling problems I've had and tried to diagnose for years. That finally seems to be licked after replacing the fuel injectors and adding heat shielding to the coil and injectors (turns out the inline 6 has heat problems that can cause fuel leaving injector number 3 in particular to prematurely ignite).
Front axle replacement was due to a comedy of errors, which I'd rather not elaborate on because stupid.
I've only recently started tracking these expenses via software, so I'd have to go digging up paperwork to go back further than August.
Early August: replace front axle, roughly $1800.
- 8/17 - Oil, rotation, balance, alignment, spark plugs, sway bar links, tie rod and ends. $875
- 8/18 - Investigate severe stalling following tuneup. Replace ignition coil. $277
- 8/31 - Replace OPDA (preventative + possibly address stalling). $209
Two years ago at CodeMash we discussed how Erlang was a paradigm shift masquerading as a programming language. Last year we illustrated how fun it is to write. This year we show off one of its most powerful aspects: maintaining a production system.
Erlang (and Elixir, its younger sibling) allow you to not only trace the behavior of a production system, but also to query the data in memory, replace your code on the fly once you've found the problem, and fix the data that the old code mishandled, so the system keeps plugging away. Look, ma, no reboots.
Also discussed will be other criminally under-appreciated languages with similar features, because really, can you ever have enough magic tricks in your repertoire?
John Daily has wandered a meandering path through systems and network administration, cyber security, global iOS mobile device management, technical evangelism, and software development. He has a passion for pragmatic programming languages such as C, Perl, and Erlang. Beauty is definitely in the eye of the beholder. |
The purpose of abstraction is not to be vague, but to create a new semantic level in which one can be absolutely precise. – Edsger W. Dijkstra
The entire history of software engineering is that of the rise in levels of abstraction. – Grady Booch
We live in a world dominated by a virtual machine (the JVM) and a virtual platform (AWS). These are concrete abstractions, despite the apparent contradiction in terms.
Virtualization, however, is just one form of abstraction. We'll talk about the evolution of programming languages, networking, hardware, systems orchestration... and while abstraction will undoubtedly be extolled as a good thing™ we'll discuss the sea monsters that dwell hidden behind the curtain, to mix some abstract metaphors. What is a leaky abstraction and what can you do about it?
Cloud, IaaS, PaaS, SaaS, containers... it's a very different kind of virtual reality we're in, and ready or not you're likely to find yourself interacting with virtual infrastructure sooner rather than later.
We'll talk about programmable, immutable infrastructure. We'll talk about declarative programming. Whether you think of yourself as a software developer or as a systems administrator, the lines are increasingly cloudy.
This talk will be a survey of the high-level concepts and the available tools to make this easier. When concrete examples are provided, AWS, Terraform, and Salt will be the likely culprits.