Facilitator | |
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Participants | |
Brainstorm date | |
Video conference link | n/a |
On this page |
Brainstorm planning
Goals of the brainstorm | Review documents and background material to propose path to resolution |
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Brainstorming method | Review and Analyze |
Participant instructions |
Brainstorm pre-work
Brainstorm agenda
Brainstorm outcomes
I recommended new relxci for one reason - the most acurate end to end caoture of internal errors... MNailOnline 24% errors backend = 30 e220's; 1 week worjkign with dev's dropping errors to less than 1% and shifting images to Akamai = 3 e220s - saved them literally millions...if we have anyone expert in any of that kevekl oif tooling we shiould takk asap - if not, NRis quick and I know how to leverage each biut....
the RUM what I need first - end to end trace and timings for a user jouyrney....
install agents for each service
sort focus to slowest function
split that journey so it uses pinned resources for that call only (on slow components)
1 day deep dive with developers to parse results
error rate reduction and error handling
repetetive funtions that be covrted to classes
identify extermal factors on performance
top 10 slow queries - 11 days
all development teams consistent message and collective session on the tooling and what it will show
propose the plan to deep dive each team and schedule - all resources available
potentially bring in tech/tool coach to guide them to improved code
depending on results look at
Data cache
prebuilt queries and nosql layer
deep dive into data
all going well we can enhance scalability with Service Bus in poarallel running
Summary of results
- Andy to resource team members
- Azure / Python / Data
- APM for app and stack - recommend new relic
- APM data to align priorities
- Top Down focus resource at pressure points
- Identify and Validate proposed solutions to problems
- 1 day workshop per issue
- work with dev team
- align understanding
- coach solutions
- agree delivery
- support