DevOps & Technical Agility: From Theory to Practice

•

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This is the content I presented in meetups for giving brief information about Agile, Devops, Software Craftsmanship, Opertions and Continuous Delivery and their connection with each other.

Software

but it sucks!
software development is cool
sucks
sucks
sucks
sucks
sucks
sucks
sucks
sucks
sucks
sucks
sucks

?agile, lean, devops
continuous delivery
next gen operations

BE RESPONSIBLE OF
design
architecture
quality
testing
performance
maintenance
operations
practices
OF YOUR WORK

white
board
problem identiﬁcation
qualitative research methods
user needs identiﬁcation
storytelling
brainstorming
voting

white
board
idea
prioritized
prototype
proposed mvp / mvi
product backlog management
sprint planning

white
board
idea
prioritized
development
started

white
board
idea
prioritized
development
started
evolutionary architecture
emergent design
pair programming
code review
source code management
continuous integration
automated tests (unit, functional, etc)
design patterns
refactoring
design by tests (tdd, bdd, atdd)
clean code principles

white
board
idea
prioritized
development
started
uat and
harnessing

white
board
idea
prioritized
development
started
uat and
harnessing
test automation
automated acceptance testing
static code analysis

white
board
idea
prioritized
development
started
uat and
harnessing
going
live

white
board
idea
prioritized
development
started
uat and
harnessing
going
live
continuous delivery
continuous deployment
frequent releases
continuous monitoring
disaster recovery
real time veriﬁcation

white
board
idea
prioritized
development
started
uat and
harnessing
going
live
idea Analysis DEVelop testing

white
board
idea
prioritized
development
started
uat and
harnessing
going
live
idea testing

white
board
idea
prioritized
development
started
uat and
harnessing
going
live
idea Analysis DEVelop testing
1 missing point?

white
board
idea
prioritized
development
started
uat and
harnessing
going
live
idea Analysis DEVelop testing maintenance
2 missing lanes?

white
board
idea
prioritized
development
started
uat and
harnessing
going
live
idea Analysis DEVelop testing maintenance
operations
conﬁguration management
provisioning
containerization
virtual servers
cloud infrastructure
infrastructure as code & version
central logging & auditing
automatic scalability
db versioning
service virtualization
deployment automation
one step env creation
deployment approaches
automate everything

white
board
idea
prioritized
development
started
uat and
harnessing
going
live
idea Analysis DEVelop testing maintenance
software
craftsmanship
brown bag sessions
community of professionals
lean meetups
code retreats
oﬀ-the-stack projects
mob programming
new habbits
development manifesto
foremen
craftsmanship programs
proﬁciency on tools
agile documentation
operations

unit tests
basic CI
few scripts
procedures
manual deploys
manual reports
dev+test in team
version db
stored builds
auto int. tests
static code an.
auto reports
act on metrics
conf as code
feature toggling
auto deploy
pipeline to prod
auto acc. tests
team responsible
kaizen
push metrics
zero downtime
auto db deploys
full auto tests
no rollbacks
cross func. teams
infra as code
zero touch
verify b. value
silo analysis

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This presentation covers the following topics: What is logging? The purpose of logging: Debugging The purpose of logging: Security The purpose of logging: Stats & analytics Traditional logging Traditional logging: Advantages Traditional logging: Disadvantages The solution: Large-scale logging Large-scale logging: Core principles Large-scale logging: Solution types Large-scale logging: Cloud vs on-prem Large-scale logging: Operational complexity Large-scale logging: Security Large-scale logging: Costs Large-scale logging: On-prem comparison - Elasticsearch - Grafana Loki - VictoriaLogs On-prem comparison: Setup and operation On-prem comparison: Costs On-prem comparison: Full-text search support On-prem comparison: How to efficiently query 100TB of logs? On-prem comparison: Integration with CLI tools VictoriaLogs for large-scale logging VictoriaLogs demo instance - Ingestion rate: 3600 messages / minute - The number of log messages: 1.1 billion - Uncompressed log messages’ size: 1.5TB - Compressed log messages’ size: 23GB - Compression ratio: 47x - Memory usage: 150MB VictoriaLogs CLI integration demo - Which errors have occurred in all the apps during the last hour? - How many errors have occurred during the last hour? - Which apps generated the most of errors during the last hour? - The number of per-minute errors for the last 10 minutes - Status codes for the last hour - Non-200 status codes for the last week - Top client IPs for the last 4 weeks with 404 and 500 response status codes - Per-month stats for the given IP across all the logs Large-scale logging solution MUST provide excellent CLI integration VictoriaLogs: (temporary) drawbacks VictoriaLogs: Recap - Easy to setup and operate - The lowest RAM usage and disk space usage (up to 30x less than Elasticsearch and Grafana Loki) - Fast full-text search - Excellent integration with traditional command-line tools for log analysis - Accepts logs from popular log shippers (Filebeat, Fluentbit, Logstash, Vector, Promtail, Grafana Agent) - Open source and free to use!

Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024

VictoriaMetrics

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