Logs and Telemetry
Using Fluent Bit, Kubernetes, streaming and more
Phil Wilkins
- Build
- cloud
- native
- observability
- pipelines
- with
- minimal
- footprints
- and
- high-performance
- throughput—all
- with
- Fluent
- Bit,
- Kubernetes,
- and
- your
- favorite
- visualization
- and
- analytics
- tools.Logs
- and
- Telemetry
- is
- an
- all-practical
- guide
- to
- monitoring
- both
- cloud-native
- and
- traditional
- environments
- with
- the
- Fluent
- Bit
- observability
- tool.
- It
- takes
- you
- from
- the
- basics
- of
- collecting
- app
- logs,
- all
- the
- way
- to
- filtering,
- routing,
- enriching
- and
- transforming
- logs,
- metrics,
- and
- traces.Inside
- Logs
- and
- Telemetry
- you’ll
- learn
- how
- to:•
- Deploy
- Fluent
- Bit
- for
- telemetry
- (log,
- metric,
- and
- trace)
- collection
•
- Configure
- pipelines
- to
- filter,
- route,
- and
- transform
- data
•
- Integrate
- Fluent
- Bit
- with
- containers
- and
- Kubernetes
•
- Configure
- Fluent
- Bit
- to
- work
- with
- OpenTelemetry,
- Prometheus,
- and
- other
- open
- source
- tech
•
- Monitor
- applications
- at
- scale
- with
- minimal
- footprint
•
- Address
- challenges
- in
- Kubernetes-based
- ecosystems
- using
- Fluent
- Bit
•
- Utilize
- Fluent
- Bit
- for
- real-time
- event
- analytics
- to
- derive
- new
- metrics
- and
- insights
•
- Develop
- custom
- filters,
- inputs,
- and
- outputs
- for
- unique
- or
- reusable
- use
- casesLogs
- and
- Telemetry
- draws
- on
- both
- the
- input
- and
- support
- of
- key
- committers
- and
- founders
- of
- Fluent
- Bit,
- and
- author
- Phil
- Wilkins’
- years
- of
- experience
- in
- DevOps.
- Inside,
- you’ll
- see
- how
- you
- can
- integrate
- Fluent
- Bit
- with
- Prometheus,
- OpenTelemetry,
- FluentD
- deployments,
- and
- more.
- Learn
- how
- Fluent
- Bit
- can
- not
- only
- meet
- all
- the
- demands
- of
- cloud-native
- use
- cases,
- but
- also
- more
- traditional
- deployments
- as
- well.About
- the
- technologyFluent
- Bit
- is
- a
- super-fast
- lightweight
- observability
- tool
- that’s
- perfect
- for
- Kubernetes
- and
- containers,
- as
- well
- as
- traditional
- IT
- environments.
- Fluent
- Bit
- makes
- it
- a
- snap
- to
- extract
- meaning
- from
- the
- logs,
- traces,
- and
- other
- performance
- metrics
- generated
- by
- your
- applications
- and
- infrastructure.
- It’s
- also
- a
- great
- way
- to
- route
- telemetry
- to
- analysis
- tools
- like
- Prometheus
- and
- Grafana.About
- the
- bookLogs
- and
- Telemetry
- shows
- you
- how
- to
- turn
- systems
- data
- into
- actionable
- insights
- using
- Fluent
- Bit.
- You’ll
- start
- by
- learning
- the
- pre-built
- plugins
- for
- common
- use
- cases
- and
- progress
- to
- integration
- with
- powerful
- tools
- like
- OpenTelemetry
- and
- real-time
- analytical
- event
- processing.
- You’ll
- use
- plugins
- to
- configure
- routing,
- filtering
- and
- processing,
- automate
- your
- observability
- with
- Lua
- scripts,
- and
- configure
- Fluent
- Bit
- to
- meet
- the
- demands
- of
- highly
- scalable
- environments.What's
- inside•
- Deploy
- Fluent
- Bit
- for
- telemetry
- collection
•
- Configure
- pipelines
- to
- filter,
- route,
- and
- transform
- data
•
- Integrate
- Fluent
- Bit
- with
- containers
- and
- Kubernetes
•
- Monitor
- applications
- at
- scaleAbout
- the
- readerFor
- developers,
- DevOps
- engineers,
- and
- SREs
- working
- with
- observability.About
- the
- authorPhil
- Wilkins
- has
- spent
- over
- 25
- years
- in
- the
- software
- industry
- from
- multinationals
- to
- software
- startups.
- He
- is
- the
- author
- of
- Logging
- in
- Action.The
- technical
- editor
- on
- this
- book
- was
- Karthik
- Gaekwad.Table
- of
- ContentsPart
- 1
1
- Introduction
- to
- Fluent
- Bit
2
- From
- zero
- to
- “Hello,
- World”
Part
- 2
3
- Capturing
- inputs
4
- Getting
- inputs
- from
- containers
- and
- Kubernetes
5
- Outputting
- events
6
- Parsing
- to
- extract
- more
- meaning
7
- Filtering
- and
- transforming
- events
Part
- 3
8
- Stream
- processors
- for
- time
- series
- calculations
- and
- filtering
9
- Building
- processors
- and
- Fluent
- Bit
- extension
- options
10
- Building
- plugins
11
- Putting
- Fluent
- Bit
- into
- action:
- An
- enterprise
- use
- case
Appendix
- A
- Installations
Appendix
- B
- Useful
- resources
Appendix
- C
- Comparing
- Fluent
- Bit
- and Fluentd
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