Site Reliability Engineering for Data Platforms
Apply SLOs, error budgets, monitoring and incident management to data platforms and pipelines.
- ✓ Instructor-led live sessions, online or in Bengaluru
- ✓ Hands-on labs in every module
- ✓ Capstone project with trainer review
- ✓ Curriculum customisable for corporate teams
- ✓ Certificate of completion
Next batch: Sat, 12 Dec 2026 · 24 hours · 3 days
DevOps for DataSite Reliability Engineering for Data Platforms
Duration: 24 hours · 3 days
Next batch: Sat, 12 Dec 2026
Format: Online live · Bengaluru classroom
Modules: 7 · Topics: 34
Level: Intermediate to Advanced
Fee: ₹10,999
Trusted by leading experts
Upcoming batches
Open batches for individuals; corporate batches on your dates.
| Programme | Starts | Mode | Schedule | Duration | |
|---|---|---|---|---|---|
| Site Reliability Engineering for Data Platforms | Sat, 12 Dec 2026 | Online live | Weekend (Sat) | 4 Saturdays | Enquire |
| Site Reliability Engineering for Data Platforms | Wed, 17 Feb 2027 | Bengaluru classroom | Weekday | 3 days | Enquire |
Soaring demand, and where it takes you
As data platforms become business-critical, organisations increasingly apply SRE practices to them.
Become an expert
Roles this programme prepares you for:
Become a Site Reliability Engineer
Owns reliability of critical systems.
- Define SLIs and SLOs for data products
- Use error budgets to balance change and reliability
- Build meaningful monitoring and alerts
About the course
Site Reliability Engineering applied to data platforms and pipelines: SLIs, SLOs and error budgets, monitoring and alerting, incident response and post-mortems, and reducing toil.
Apply SLOs, error budgets, monitoring and incident management to data platforms and pipelines.
Why should I attend?
Platform and data engineers
Operations engineers
DevOps engineers
Team leads responsible for reliability
Prerequisites
Operations or data-platform experience; basic Linux
Level
Intermediate to Advanced
Delivery modes, duration and fee
Online live
Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches
Bengaluru classroom
In-person batches at our Bengaluru training venue
On-site at your office
Private corporate batch anywhere in India, scheduled around your teams
Blended
Live sessions plus guided self-paced labs and mentor check-ins
Duration: 24 hours · 3 days
Course fee (open batch): ₹10,999
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.
What will you learn
- Define SLIs and SLOs for data products
- Use error budgets to balance change and reliability
- Build meaningful monitoring and alerts
- Run incident response effectively
- Write blameless post-mortems
- Identify and reduce toil
Skills you will gain
Reliability
Observability
Operations
Tools and platforms covered
Prometheus
Grafana
Apache Airflow
PagerDuty
Python
KubernetesCourse curriculum
M01 SRE principles
- Origins
- Reliability as a feature
- Data platform context
- SRE vs DevOps
- Reliability targets
🧪 Hands-on: Assess reliability needs
M02 SLIs and SLOs
- Choosing indicators
- Freshness and correctness SLOs
- Error budgets
- SLO dashboards
- Burn-rate alerts
🧪 Hands-on: Define SLOs for a pipeline
M03 Monitoring
- Metrics and logs
- Dashboards
- Alert design
- Tracing
- Alert fatigue
🧪 Hands-on: Build monitoring
M04 Incident response
- Roles
- Communication
- Runbooks
- On-call practice
- Status pages
🧪 Hands-on: Run an incident simulation
M05 Post-mortems
- Blameless culture
- Root causes
- Follow-up
- Action tracking
- Learning reviews
🧪 Hands-on: Write a post-mortem
M06 Reducing toil
- Measuring toil
- Automation
- Capacity planning
- Chaos engineering basics
- Release safety
🧪 Hands-on: Automate a manual task
M07 Capstone: reliability plan
- SLOs
- Monitoring
- Runbooks
- Game day
🧪 Hands-on: Produce a reliability plan and run a game-day exercise
Hands-on projects
Reliability plan
SLOs, dashboards, alerts and runbooks for a data platform.
Why train with us
Built around your stack
Labs and examples adapted to the tools, cloud and data your team actually uses.
Practice-first
Every module ends in a lab, and the course ends with a reviewed capstone.
Practitioner-led
Delivered by Karthick Selvam and vetted specialist trainers from our network.
Visible progress
Attendance, lab completion and assessment results shared with your L&D team.
Certificate of completion
Participants who complete the labs and capstone receive a Learning Dots certificate of completion for Site Reliability Engineering for Data Platforms. [confirm certificate wording / sample image]
Learner reviews
“[Verified learner review for this course]”
“[Verified learner review for this course]”
Meet your trainer
Karthick Selvam
Founder · Data Engineering Corporate Trainer, Bengaluru
[Trainer bio, experience and areas of expertise]
Frequently asked questions
Is this only for SREs?
No; it suits any engineer responsible for running data systems.
Can the curriculum be customised for our team?
Yes. Modules, depth, duration and labs can be tailored to your stack and goals.
What delivery formats are available?
Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.
How do we enquire or book?
Use the enquiry form on this page or the Enquire button next to any batch.
What does it cost?
The open-batch fee is ₹10,999 per participant plus GST. Corporate batches are priced on group size, format and customisation.
How long is the course?
24 hours · 3 days. Corporate batches can be split into half-day sessions.
A closer look
About this course
Site Reliability Engineering applied to data platforms and pipelines: SLIs, SLOs and error budgets, monitoring and alerting, incident response and post-mortems, and reducing toil.
What is Site Reliability Engineering for Data Platforms?
Apply SLOs, error budgets, monitoring and incident management to data platforms and pipelines.
Who this course is for
Platform and data engineers, Operations engineers, DevOps engineers, Team leads responsible for reliability.
What you will be able to do
Define SLIs and SLOs for data products. Use error budgets to balance change and reliability. Build meaningful monitoring and alerts. Run incident response effectively. Write blameless post-mortems. Identify and reduce toil.
Career paths
Roles this course supports include Site Reliability Engineer, Data Platform SRE, Observability Engineer. As data platforms become business-critical, organisations increasingly apply SRE practices to them.
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