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Why are my cloud costs increasing even though traffic hasn’t changed?
Stable traffic doesn’t guarantee stable cost. Idle resources, misconfigured autoscaling, forgotten snapshots, and pricing model changes all contribute to rising bills without any traffic increase. Autoscaling that grows quickly but shrinks slowly is a particularly common cause. Costs usually grow quRead more
Stable traffic doesn’t guarantee stable cost.
See lessIdle resources, misconfigured autoscaling, forgotten snapshots, and pricing model changes all contribute to rising bills without any traffic increase. Autoscaling that grows quickly but shrinks slowly is a particularly common cause.
Costs usually grow quietly until someone checks the bill.
Takeaway: Cost control requires auditing idle and scaling resources, not just traffic.
Why does my CI pipeline succeed locally but fail in GitHub Actions with permission errors?
Takeaway: If it works locally but not in CI, suspect credentials—not code. Local environments often have cached credentials or broader permissions that CI runners do not. In CI, authentication must be explicit. Missing environment variables, incorrect service account bindings, or restrictive IAM rolRead more
Takeaway: If it works locally but not in CI, suspect credentials—not code.
See lessLocal environments often have cached credentials or broader permissions that CI runners do not.
In CI, authentication must be explicit. Missing environment variables, incorrect service account bindings, or restrictive IAM roles commonly cause failures that don’t reproduce locally.
Log the identity being used inside the pipeline and verify it matches what you expect. For cloud access, always assume the CI identity is less privileged than your local one.
Why does my Docker container exit immediately with code 0?
An exit code of 0 means the container completed successfully—but probably not what you expected. This usually happens when the container’s main process finishes instantly, such as running a script instead of a long-running service. Check the CMD or ENTRYPOINT in your Dockerfile. If you intended to kRead more
An exit code of 0 means the container completed successfully—but probably not what you expected.
See lessThis usually happens when the container’s main process finishes instantly, such as running a script instead of a long-running service. Check the
CMDorENTRYPOINTin your Dockerfile.If you intended to keep the container alive, ensure the main process blocks (for example, a web server or worker loop).
Takeaway: Containers live only as long as their main process runs.
Why does my CI pipeline fail only on merge but pass on pull requests?
Merge pipelines and pull request pipelines often run under different security rules, even though the code is the same. Many CI systems restrict secrets, credentials, or cloud access depending on how the pipeline was triggered. A pipeline running on a merge to the main branch might use a different idRead more
Merge pipelines and pull request pipelines often run under different security rules, even though the code is the same.
See lessMany CI systems restrict secrets, credentials, or cloud access depending on how the pipeline was triggered. A pipeline running on a merge to the main branch might use a different identity, environment, or permission set than one running on a pull request.
This makes failures feel inconsistent, but the difference is usually intentional from a security perspective.
Takeaway: When CI behaves differently, compare identities and secrets—not code changes.
Why does my Kubernetes deployment roll out but traffic still hits old pods?
When this happens, the service is almost certainly selecting the wrong pods. Kubernetes services don’t care about deployments or rollout status. They route traffic purely based on label selectors. If your new pods have labels that don’t exactly match what the service expects, traffic will continue fRead more
When this happens, the service is almost certainly selecting the wrong pods.
See lessKubernetes services don’t care about deployments or rollout status. They route traffic purely based on label selectors. If your new pods have labels that don’t exactly match what the service expects, traffic will continue flowing to the old ReplicaSet even though the rollout completed successfully.
This often happens after small refactors where labels are renamed or reorganized, and the service definition isn’t updated accordingly.
Takeaway: If traffic isn’t shifting, always check service selectors before blaming the rollout
Why does my monitoring show gaps in metrics during high load?
Takeaway: Monitoring systems need performance tuning just like applications do. Metric gaps usually mean the monitoring system itself is overloaded. During high load, metrics pipelines can fall behind due to high cardinality labels, aggressive scrape intervals, or insufficient resources for the metrRead more
Takeaway: Monitoring systems need performance tuning just like applications do. Metric gaps usually mean the monitoring system itself is overloaded.
See lessDuring high load, metrics pipelines can fall behind due to high cardinality labels, aggressive scrape intervals, or insufficient resources for the metrics backend. Adding more dashboards doesn’t help if the metrics never arrive in the first place.
In many cases, reducing label complexity stabilizes monitoring more effectively than scaling hardware.
Why do my Docker containers randomly stop responding after running fine for several hours on a cloud VM?
This happens because the host machine is running out of memory and the Linux OOM killer is silently terminating container processes. In cloud VMs, Docker containers share the host’s memory unless limits are explicitly set. When memory pressure increases, Linux kills whichever process it considers leRead more
This happens because the host machine is running out of memory and the Linux OOM killer is silently terminating container processes.
In cloud VMs, Docker containers share the host’s memory unless limits are explicitly set. When memory pressure increases, Linux kills whichever process it considers least important, which is often a containerized app. Docker does not always report this clearly, so from the outside it looks like the service just froze.
You can confirm this by checking the VM’s system logs:
dmesg | grep -i kill
If you see messages about processes being killed due to memory, that’s the cause. The fix is to set proper memory limits and ensure the VM has enough RAM for peak load:
docker run -m 1g --memory-swap 1g myapp
In Kubernetes, this is done through resource requests and limits. Without them, nodes can overcommit memory and start killing pods unpredictably.
A less obvious variation is memory leaks inside the container, which slowly push the host into OOM even if the initial footprint looks fine.
See lesswhy does Terraform ignore changes I make in the console?
Terraform only notices changes when you run a plan or refresh. If ignore_changes is configured, Terraform will intentionally skip certain attributes. Otherwise, console changes will appear as drift the next time Terraform evaluates state. Manual changes and Terraform don’t mix well long-term. TakeawRead more
Terraform only notices changes when you run a plan or refresh.
If
ignore_changesis configured, Terraform will intentionally skip certain attributes. Otherwise, console changes will appear as drift the next time Terraform evaluates state.Manual changes and Terraform don’t mix well long-term.
Takeaway: Terraform works best as the single source of truth.
See lessWhy does my application lose permissions after a Kubernetes pod restart?
Pods are ephemeral, and anything stored locally disappears on restart. If credentials are written to the filesystem instead of injected dynamically, they won’t survive restarts. Secrets, identity bindings, or token projection are the correct approach. Takeaway: Never rely on local storage for credenRead more
Pods are ephemeral, and anything stored locally disappears on restart.
If credentials are written to the filesystem instead of injected dynamically, they won’t survive restarts. Secrets, identity bindings, or token projection are the correct approach.
Takeaway: Never rely on local storage for credentials in containers.
See lessWhy does my Docker container run as root even though I specified a user?
The base image or entrypoint likely overrides the user setting. If the specified user doesn’t exist or the entrypoint switches back to root, Docker silently falls back. Checking the final image configuration usually reveals this. Takeaway: User settings only work if nothing overrides them later.
The base image or entrypoint likely overrides the user setting.
If the specified user doesn’t exist or the entrypoint switches back to root, Docker silently falls back. Checking the final image configuration usually reveals this.
Takeaway: User settings only work if nothing overrides them later.
See less