I have a load balancer in front of a few EC2 instances, where each instance is accessible via a subdomain, ex: instance1.example.com and instance2.example.com.
I'm trying to allow access to instance1.example.com only from a certain IP address using WAF2 (not WAF classic). I'm currently unable to create a WAF rule that targets the subdomain. I think the best statement I could use is the byte match statement but the fields to match don't allow me to inspect the full URL, I can only see the URI path of query.
In case it's useful is my current configuration in terraform.
statement {
and_statement {
statement {
byte_match_statement {
field_to_match {
uri_path {}
}
positional_constraint = "CONTAINS"
search_string = "subdomain-name-here"
text_transformation {
priority = 1
type = "NONE"
}
}
}
statement {
not_statement {
statement {
ip_set_reference_statement {
arn = aws_wafv2_ip_set.admin_ip_set.arn
}
}
}
}
}
}
Related
I really stuck today on the following error:
MalformedXML: The XML you provided was not well-formed
when applying aws_s3_bucket_lifecycle_configuration via Terraform using hashicorp/aws v4.38.0.
I wanted to set a rule that would expire files after 365 days with file size greater than 0 bytes for a my_prefix prefix so the definition of the resource looks like that:
resource "aws_s3_bucket_lifecycle_configuration" "my-bucket-lifecycle-configuration" {
depends_on = [aws_s3_bucket_versioning.my-bucket-versioning]
bucket = aws_s3_bucket.my_bucket.id
rule {
id = "my_prefix_current_version_config"
filter {
and {
prefix = "my_prefix/"
object_size_greater_than = 0
}
}
expiration {
days = 365
}
status = "Enabled"
}
}
Anyone has idea what's wrong with the above definition? :nerd_face:
Documentation: https://registry.terraform.io/providers/hashicorp/aws/latest/docs/resources/s3_bucket_lifecycle_configuration
Remark: the following definition can be applied without problem (no and block):
resource "aws_s3_bucket_lifecycle_configuration" "my-bucket-lifecycle-configuration" {
depends_on = [aws_s3_bucket_versioning.my-bucket-versioning]
bucket = aws_s3_bucket.my_bucket.id
rule {
id = "my_prefix_current_version_config"
filter {
prefix = "my_prefix/"
}
expiration {
days = 365
}
status = "Enabled"
}
}
From the documentation, you have to specify both the object size range (which I guess mean, you have to specify both object_size_greater_than and object_size_less_than) and prefix, for example:
filter {
and {
prefix = "my_prefix/"
object_size_greater_than = 0
object_size_less_than = 500
}
}
I am trying to build a reusable module that creates multiple S3 buckets. Based on a condition, some buckets may have lifecycle rules, others do not. I am using a for loop in the lifecycle rule resource and managed to do it but not on 100%.
My var:
variable "bucket_details" {
type = map(object({
bucket_name = string
enable_lifecycle = bool
glacier_ir_days = number
glacier_days = number
}))
}
How I go through the map on the lifecycle resource:
resource "aws_s3_bucket_lifecycle_configuration" "compliant_s3_bucket_lifecycle_rule" {
for_each = { for bucket, values in var.bucket_details : bucket => values if values.enable_lifecycle }
depends_on = [aws_s3_bucket_versioning.compliant_s3_bucket_versioning]
bucket = aws_s3_bucket.compliant_s3_bucket[each.key].bucket
rule {
id = "basic_config"
status = "Enabled"
abort_incomplete_multipart_upload {
days_after_initiation = 7
}
transition {
days = each.value["glacier_ir_days"]
storage_class = "GLACIER_IR"
}
transition {
days = each.value["glacier_days"]
storage_class = "GLACIER"
}
expiration {
days = 2555
}
noncurrent_version_transition {
noncurrent_days = each.value["glacier_ir_days"]
storage_class = "GLACIER_IR"
}
noncurrent_version_transition {
noncurrent_days = each.value["glacier_days"]
storage_class = "GLACIER"
}
noncurrent_version_expiration {
noncurrent_days = 2555
}
}
}
How I WOULD love to reference it in the root module:
module "s3_buckets" {
source = "./modules/aws-s3-compliance"
#
bucket_details = {
"fisrtbucketname" = {
bucket_name = "onlythefisrtbuckettesting"
enable_lifecycle = true
glacier_ir_days = 555
glacier_days = 888
}
"secondbuckdetname" = {
bucket_name = "onlythesecondbuckettesting"
enable_lifecycle = false
}
}
}
So when I reference it like that, it cannot validate, because I am not setting values for both glacier_ir_days & glacier_days - understandable.
My question is - is there a way to check if the enable_lifecycle is set to false, to not expect values for these?
Currently, as a workaround, I am just setting zeroes for those and since the resource is not created if enable_lifecycle is false, it does not matter, but I would love it to be cleaner.
Thank you in advance.
The forthcoming Terraform v1.3 release will include a new feature for declaring optional attributes in an object type constraint, with the option of declaring a default value to use when the attribute isn't set.
At the time I'm writing this the v1.3 release is still under development and so not available for general use, but I'm going to answer this with an example that should work with Terraform v1.3 once it's released. If you wish to try it in the meantime you can experiment with the most recent v1.3 alpha release which includes this feature, though of course I would not recommend using it in production until it's in a final release.
It seems that your glacier_ir_days and glacier_days attributes are, from a modeling perspective, attribtues that are required when the lifecycle is enabled and not required when lifecycle is disabled.
I would suggest modelling that by placing these attributes in a nested object called lifecycle and implementing it such that the lifecycle resource is enabled when that attribute is set, and disabled when it is left unset.
The declaration would therefore look like this:
variable "s3_buckets" {
type = map(object({
bucket_name = string
lifecycle = optional(object({
glacier_ir_days = number
glacier_days = number
}))
}))
}
When an attribute is marked as optional(...) like this, Terraform will allow omitting it in the calling module block and then will quietly set the attribute to null when it performs the type conversion to make the given value match the type constraint. This particular declaration doesn't have a default value, but it's also possible to pass a second argument in the optional(...) syntax which Terraform will then use instead of null as the placeholder value when the attribute isn't specified.
The calling module block would therefore look like this:
module "s3_buckets" {
source = "./modules/aws-s3-compliance"
#
bucket_details = {
"fisrtbucketname" = {
bucket_name = "onlythefisrtbuckettesting"
lifecycle = {
glacier_ir_days = 555
glacier_days = 888
}
}
"secondbuckdetname" = {
bucket_name = "onlythesecondbuckettesting"
}
}
}
Your resource block inside the module will remain similar to what you showed, but the if clause of the for expression will test if the lifecycle object is non-null instead:
resource "aws_s3_bucket_lifecycle_configuration" "compliant_s3_bucket_lifecycle_rule" {
for_each = {
for bucket, values in var.bucket_details : bucket => values
if values.lifecycle != null
}
# ...
}
Finally, the references to the attributes would be slightly different to traverse through the lifecycle object:
transition {
days = each.value.lifecycle.glacier_days
storage_class = "GLACIER"
}
I need to change, using Terraform, the default project_id in my Composer environment so that I can access secrets from another project. To do so, according to Terraform, I need the variable airflow_config_overrides. I guess I should have something like this:
resource "google_composer_environment" "test" {
# ...
config {
software_config {
airflow_config_overrides = {
secrets-backend = "airflow.providers.google.cloud.secrets.secret_manager.CloudSecretManagerBackend",
secrets-backend_kwargs = {"project_id":"9999999999999"}
}
}
}
}
The secrets-backend section-key seems to be working. On the other hand, secrets-backend_kwargs is returning the following error:
Inappropriate value for attribute "airflow_config_overrides": element "secrets-backend_kwargs": string required
It seems that the problem is that GCP expects a JSON format and Terraform requires a string. How can I get Terraform to provide it in the format needed?
You can convert a map such as {"project_id":"9999999999999"} into a JSON encoded string by using the jsonencode function.
So merging the example given in the google_composer_environment resource documentation with your config in the question you can do something like this:
resource "google_composer_environment" "test" {
name = "mycomposer"
region = "us-central1"
config {
software_config {
airflow_config_overrides = {
secrets-backend = "airflow.providers.google.cloud.secrets.secret_manager.CloudSecretManagerBackend",
secrets-backend_kwargs = jsonencode({"project_id":"9999999999999"})
}
pypi_packages = {
numpy = ""
scipy = "==1.1.0"
}
env_variables = {
FOO = "bar"
}
}
}
}
I want to Add domain to listener rule in addition to paths. What arguments should I use for the same.
resource "aws_alb_listener_rule" "service" {
listener_arn = var.alb_listener_arn
action {
type = "forward"
target_group_arn = aws_alb_target_group.service.arn
}
condition {
path_pattern {
values = ["/login", "/logout"]
}
}
Thank you.
The domain name is specified using host_header:
Contains a single values item which is a list of host header patterns to match.
An example usage from the docs:
condition {
host_header {
values = ["my-service.*.terraform.io"]
}
}
Thanks. This worked.
condition {
path_pattern {
values = ["/login", "/logout"]
}
}
condition {
host_header {
values = ["my-service.*.terraform.io"]
}
}
I have a functionality where I have to delete the elasticsearch records which are more than 1 month old.
I can do it by having a cron job to run the delete query on elastic search, but I want to do that automatically.
Like for S3 file in AWS, I can set TTL. Similarly looking for something like _ttl in elastic search >7.1
You could use the Index lifecycle management option especially designed to consider these use-cases.
Its also part of basic license so you don't have to buy it, please refer elastic subscriptions for more details.
For AWS managed ElasticSearch you can use Index State Management (ISM): https://docs.aws.amazon.com/opensearch-service/latest/developerguide/ism.html
Posting the complete answer:
1. Create the policy to rollover based on max_age and delete after 10 mins
policy = {
"policy": {
"phases": {
"hot": {
"actions": {
"rollover": {
"max_age": "11m"
}
}
},
"delete": {
"min_age": "10m",
"actions": {
"delete": {}
}
}
}
}
}
2. Insert the policy:
IlmClient.put_lifecycle(es, "datastream_policy", policy)
3. Create index template to apply policy to all rollover index being created so that they will be deleted after 10 mins:
template = {
"index_patterns": ["datastream-*"],
"settings": {
"number_of_shards": 1,
"number_of_replicas": 0,
"index.lifecycle.name": "datastream_policy",
"index.lifecycle.rollover_alias": "datastream"
},
"mappings": {
"email": "keyword"
}
}
4. Put the index template in elastic search
es.indices.put_template(name="datastream_template", body=json.dumps(template))
5. Create a starter index:
indexd = {
"aliases": {
"datastream": {
"is_write_index": True
}
}
}
es.indices.create("datastream-000001", body=indexd)