Communication for Cloud Engineers: Skills That Make a Difference

Writing clear incident updates

During an incident, your written updates in the incident channel are how the rest of the team — and stakeholders — understand what is happening. Vague or missing updates cause anxiety, duplicate effort, and bad decisions based on no information.

A good incident update is short, specific, and contains exactly what the reader needs. The structure that works:

• Current state — what is the service doing right now? (Not “it’s broken” — “30% of requests to the checkout API are returning 503, started at 14:15”)
• What you know — what have you confirmed or ruled out?
• What you are doing — specific action, not vague (“Rolling back the 14:10 deployment to test if that resolves it”, not “looking into it”)
• Next update — when will you post again? This manages expectations and prevents people from pinging you every five minutes.

[14:28] STATUS UPDATE
State: ~30% of checkout requests failing with 503
Known: Started at 14:15, matches deployment window for v2.4.1
Ruled out: Database is healthy, no upstream issues on provider status page
Doing: Rollback of v2.4.1 in progress — ETA 5 minutes
Next update: 14:35 or when rollback completes

Post updates on a cadence — every 15–20 minutes for active SEV1/SEV2 incidents. “Still investigating, no change” is a valid update. Silence is not.

Translating for non-technical stakeholders

Engineering updates are for engineers. Product managers, customer success teams, and executives need a different version. Remove the technical specifics and focus on user impact, time to resolution, and what customers should be told.

“The checkout API is returning 503 errors due to a failed deployment affecting load balancer routing” becomes “Customers are unable to complete purchases. We are actively resolving the issue and expect to restore normal service within the next 15–20 minutes.”

Explaining technical decisions to non-engineers

Cloud engineers regularly need to explain architecture choices, trade-offs, and infrastructure decisions to people who do not share their technical vocabulary. This is not dumbing it down — it is translating.

The most effective approach: lead with the business impact, then explain the technical decision in terms of what it achieves.

Instead of: “We are implementing cross-region database replication with a failover RTO of 15 minutes using AWS RDS Multi-AZ with a warm standby in us-west-2.”

Try: “We are setting up our database so that if the AWS data centre we use has an outage, the site can automatically switch to a backup database in a different location. That switch takes about 15 minutes. Without this, an AWS outage in our current region would take the site down until they fixed it.”

A useful test: can you explain the decision, why you chose it over the alternative, and what it will cost, in four sentences or fewer? If not, you probably do not understand it clearly enough yourself yet.

Pull request descriptions that communicate intent

A pull request is not just a code diff — it is a communication to the reviewer (and to future-you six months from now). The diff shows what changed. The description explains why.

A PR description that communicates well answers:

• What does this change do? (One sentence)
• Why is this change needed? (The problem it solves, or the improvement it makes)
• How should the reviewer test it? (Specific, runnable instructions)
• What is the risk? (What could go wrong? What was carefully considered?)
• Any decisions that were alternatives? (If you considered two approaches and chose one, explain why)

## What
Adds lifecycle rules to the application logs S3 bucket to transition objects
older than 30 days to Infrequent Access and delete objects older than 365 days.

## Why
Log storage costs have grown to $1,200/month. 85% of that is objects older
than 30 days that are never accessed after the first 72 hours.

## Testing
- Check the AWS console after merge: S3 > bucket > Management > Lifecycle rules
- Confirm rules appear as described. No production impact until objects hit age threshold.

## Risk
Low — lifecycle rules only apply to future object transitions, not immediately.
Objects are not deleted until they reach 365 days old.

## Alternatives considered
Glacier Deep Archive instead of Infrequent Access. Ruled out: higher retrieval
cost and 12-hour restore time makes it unsuitable for logs we occasionally need quickly.

Asking for help effectively

Asking for help is a regular part of cloud engineering at every level of seniority. Doing it well is a skill. Doing it poorly wastes time and frustrates the people you are asking.

The most useful thing you can do before asking for help: spend 20 minutes trying to solve it yourself and documenting what you tried. When you ask, share that documentation. This demonstrates effort, eliminates the obvious suggestions (“have you tried restarting it?”), and often produces the insight you needed while writing it down.

A help request that works:

Hey — stuck on a networking issue and could use a second set of eyes.

Service A (running in us-east-1a) can't reach the database (us-east-1b).
Error: "Connection refused on 5432"

What I've checked:
- Security group inbound rules on the database: allow port 5432 from service A's SG ✓
- Database is listening on 5432: confirmed via SSM session ✓
- Service A can reach other resources in us-east-1b ✓
- DNS resolves correctly ✓

My current theory: the NACLs on the database subnet might be blocking return traffic
(they're stateless). Haven't been able to check those yet — don't have the permissions.

Can you take a look at the NACLs on subnet-0abc123 in the database VPC?

That request tells the person what the problem is, what has already been ruled out, where the investigation currently stands, and exactly what you need from them. It can be acted on immediately.

Communicating delays and blockers

Delays and blockers are a normal part of engineering work. Communicating them early and clearly is what prevents them from becoming surprises.

The rule: if you know a task will not be done when expected, say so as soon as you know — not the moment the deadline passes. “I have hit a blocker on the VPC migration — the subnet CIDR ranges overlap with the VPN configuration and we need network team input before I can proceed. Expected delay: 2–3 days while we get that resolved” is a useful message. Silence followed by a missed deadline is not.

Communicating a blocker well includes:

• What the blocker is (specifically)
• What you have already tried to resolve it
• What you need to unblock (a decision, information, access, another team’s input)
• The expected impact on the timeline
• Whether you can work on other tasks in parallel while waiting

Async vs sync communication in distributed teams

Many cloud engineering teams are distributed across time zones. Good async communication is what makes distributed work function without constant video calls.

Async-first means: default to written communication that gives the recipient full context and does not require immediate response. When you send a message in Slack, write it so the person can understand the full picture and respond when they are available — not as the first line in a back-and-forth exchange.

Signs of good async communication:

• Messages contain full context without requiring the recipient to ask “can you clarify?”
• Questions are batched (“I have three questions about the database migration”) rather than sent one at a time
• Decisions and outcomes are written down in the ticket or document, not left only in chat history
• Long-form discussion happens in documents with comments, not in 50-message Slack threads

Sync communication (video calls, pair programming) is valuable for ambiguous problems, emotional conversations, and collaborative design sessions. It is not efficient for status updates, decisions that could be made asynchronously, or troubleshooting that requires sharing screen for five minutes.

Writing good tickets

Jira, Linear, and GitHub Issues are the primary communication channels for cloud infrastructure work. A well-written ticket makes the work trackable, reviewable, and executable by anyone on the team. A poorly written ticket creates confusion and slow down.

A well-written infrastructure ticket includes:

• Title — specific and actionable. “Investigate high database CPU” not “database issue”
• Background — why this work is happening. What problem does it solve?
• Acceptance criteria — how will you know the work is done? What specific conditions must be true?
• Technical context — relevant resource names, environment, constraints
• Definition of done — for infrastructure changes: deployed to staging, tested, deployed to production, monitoring confirmed

Tickets should be complete enough for a competent engineer to pick them up without asking follow-up questions. If the ticket requires a 15-minute verbal explanation to understand, rewrite it.

Stakeholder updates on infrastructure projects

Longer infrastructure projects — a database migration, a cloud provider migration, a major networking change — need regular stakeholder updates. These are different from incident communications: they are planned, calm, and focused on progress rather than crisis.

A useful format for a weekly infrastructure project update:

• Status (On track / At risk / Blocked) — one word at the top
• This week — what was completed
• Next week — what is planned
• Risks and blockers — anything that might affect the timeline
• What you need from stakeholders — decisions, approvals, information

Keep it short. Three to five bullet points per section is plenty. Stakeholders do not need every technical detail — they need confidence that the project is under control and early warning if it is not.