-
Notifications
You must be signed in to change notification settings - Fork 104
/
metrics.ts
587 lines (553 loc) · 25.4 KB
/
metrics.ts
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
// Copyright 2016-2018, Pulumi Corporation.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import * as aws from "@pulumi/aws";
import * as pulumi from "@pulumi/pulumi";
import * as cloudwatch from "../cloudwatch";
export namespace metrics {
type DynamodbMetricName =
"ConditionalCheckFailedRequests" | "ConsumedReadCapacityUnits" | "ConsumedWriteCapacityUnits" |
"OnlineIndexConsumedWriteCapacity" | "OnlineIndexPercentageProgress" | "OnlineIndexThrottleEvents" |
"PendingReplicationCount" | "ProvisionedReadCapacityUnits" | "ProvisionedWriteCapacityUnits" |
"ReadThrottleEvents" | "ReplicationLatency" | "ReturnedBytes" |
"ReturnedItemCount" | "ReturnedRecordsCount" | "SuccessfulRequestLatency" |
"SystemErrors" | "TimeToLiveDeletedItemCount" | "ThrottledRequests" |
"UserErrors" | "WriteThrottleEvents";
export interface DynamodbMetricChange extends cloudwatch.MetricChange {
/**
* Optional [Table] this metric should be filtered down to.
*/
table?: aws.dynamodb.Table;
/**
* This dimension limits the data to a global secondary index on a table. If you specify
* this, you must also specify [Table].
*/
globalSecondaryIndexName?: string;
/**
* This dimension limits the data to one of the specified following DynamoDB operations.
*/
operation?:
"PutItem" | "DeleteItem" | "UpdateItem" | "GetItem" | "BatchGetItem" |
"Scan" | "Query" | "BatchWriteItem" | "GetRecords";
/**
* This dimension limits the data to a particular AWS region. It is used with metrics
* originating from replica tables within a DynamoDB global table.
*/
receivingRegion?: aws.Region;
/**
* This dimension limits the data to a specific stream label. It is used with metrics
* originating from Amazon DynamoDB Streams 'GetRecords' operations.
*/
streamLabel?: string;
}
/**
* Creates an AWS/DynamoDB metric with the requested [metricName]. See
* https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/metrics-dimensions.html for list
* of all metric-names.
*
* Note, individual metrics can easily be obtained without supplying the name using the other
* [metricXXX] functions.
*
* The metrics for DynamoDB are qualified by the values for the account, table name, global
* secondary index name, or operation. You can use the CloudWatch console to retrieve DynamoDB data
* along any of the dimensions in the table below.
*
* 1. "GlobalSecondaryIndexName": This dimension limits the data to a global secondary index on a
* table. If you specify GlobalSecondaryIndexName, you must also specify TableName
* 2. "Operation": This dimension limits the data to one of the following DynamoDB operations: *
* PutItem * DeleteItem * UpdateItem * GetItem * BatchGetItem * Scan * Query * BatchWriteItem
* In addition, you can limit the data to the following Amazon DynamoDB Streams operation: *
* GetRecords
* 3. "ReceivingRegion": This dimension limits the data to a particular AWS region. It is used with
* metrics originating from replica tables within a DynamoDB global table.
* 4. "StreamLabel": This dimension limits the data to a specific stream label. It is used with
* metrics originating from Amazon DynamoDB Streams GetRecords operations.
* 5. "TableName": This dimension limits the data to a specific table. This value can be any table
* name in the current region and the current AWS account.
*/
function metric(metricName: DynamodbMetricName, change: DynamodbMetricChange = {}) {
const dimensions: Record<string, any> = {};
if (change.table !== undefined) {
dimensions.TableName = change.table.name;
}
if (change.globalSecondaryIndexName !== undefined) {
dimensions.GlobalSecondaryIndexName = change.globalSecondaryIndexName;
}
if (change.operation !== undefined) {
dimensions.Operation = change.operation;
}
if (change.receivingRegion !== undefined) {
dimensions.ReceivingRegion = change.receivingRegion;
}
if (change.streamLabel !== undefined) {
dimensions.StreamLabel = change.streamLabel;
}
return new cloudwatch.Metric({
namespace: "AWS/DynamoDB",
name: metricName,
...change,
}).withDimensions(dimensions);
}
/**
* The number of failed attempts to perform conditional writes. The PutItem, UpdateItem, and
* DeleteItem operations let you provide a logical condition that must evaluate to true before
* the operation can proceed. If this condition evaluates to false,
* ConditionalCheckFailedRequests is incremented by one.
*
* Note: A failed conditional write will result in an HTTP 400 error (Bad Request). These events
* are reflected in the ConditionalCheckFailedRequests metric, but not in the UserErrors metric.
*
* Units: Count
* Dimensions: TableName
* Valid Statistics: Minimum, Maximum, Average, SampleCount, Sum
*/
export function conditionalCheckFailedRequests(change?: DynamodbMetricChange) {
return metric("ConditionalCheckFailedRequests", { unit: "Count", ...change });
}
/**
* The number of read capacity units consumed over the specified time period, so you can track
* how much of your provisioned throughput is used. You can retrieve the total consumed read
* capacity for a table and all of its global secondary indexes, or for a particular global
* secondary index. For more information, see Provisioned Throughput in Amazon DynamoDB.
*
* Note: Use the Sum statistic to calculate the consumed throughput. For example, get the Sum
* value over a span of one minute, and divide it by the number of seconds in a minute (60) to
* calculate the average ConsumedReadCapacityUnits per second (recognizing that this average
* will not highlight any large but brief spikes in read activity that occurred during that
* minute). You can compare the calculated value to the provisioned throughput value you provide
* DynamoDB.
*
* Units: Count
*
* Dimensions: TableName, GlobalSecondaryIndexName
*
* Valid Statistics:
* * Minimum – Minimum number of read capacity units consumed by any individual request to the
* table or index.
* * Maximum – Maximum number of read capacity units consumed by any individual request to the
* table or index.
* * Average – Average per-request read capacity consumed.
* * Sum – Total read capacity units consumed. This is the most useful statistic for the
* ConsumedReadCapacityUnits metric.
* * SampleCount – Number of requests to DynamoDB that consumed read capacity.
*/
export function consumedReadCapacityUnits(change?: DynamodbMetricChange) {
return metric("ConsumedReadCapacityUnits", { unit: "Count", ...change });
}
/**
* The number of write capacity units consumed over the specified time period, so you can track
* how much of your provisioned throughput is used. You can retrieve the total consumed write
* capacity for a table and all of its global secondary indexes, or for a particular global
* secondary index. For more information, see Provisioned Throughput in Amazon DynamoDB.
*
* Note: Use the Sum statistic to calculate the consumed throughput. For example, get the Sum
* value over a span of one minute, and divide it by the number of seconds in a minute (60) to
* calculate the average ConsumedWriteCapacityUnits per second (recognizing that this average
* will not highlight any large but brief spikes in write activity that occurred during that
* minute). You can compare the calculated value to the provisioned throughput value you provide
* DynamoDB.
*
* Units: Count
*
* Dimensions: TableName, GlobalSecondaryIndexName
*
* Valid Statistics:
*
* * Minimum – Minimum number of write capacity units consumed by any individual request to the
* table or index.
* * Maximum – Maximum number of write capacity units consumed by any individual request to the
* table or index.
* * Average – Average per-request write capacity consumed.
* * Sum – Total write capacity units consumed. This is the most useful statistic for the
* ConsumedWriteCapacityUnits metric.
* * SampleCount – Number of requests to DynamoDB that consumed write capacity.
*/
export function consumedWriteCapacityUnits(change?: DynamodbMetricChange) {
return metric("ConsumedWriteCapacityUnits", { unit: "Count", ...change });
}
/**
* The number of write capacity units consumed when adding a new global secondary index to a
* table. If the write capacity of the index is too low, incoming write activity during the
* backfill phase might be throttled; this can increase the time it takes to create the index.
* You should monitor this statistic while the index is being built to determine whether the
* write capacity of the index is underprovisioned.
*
* You can adjust the write capacity of the index using the UpdateTable operation, even while
* the index is still being built.
*
* Note that the ConsumedWriteCapacityUnits metric for the index does not include the write
* throughput consumed during index creation.
*
* Units: Count
*
* Dimensions: TableName, GlobalSecondaryIndexName
*
* Valid Statistics:
* * Minimum
* * Maximum
* * Average
* * SampleCount
* * Sum
*/
export function onlineIndexConsumedWriteCapacity(change?: DynamodbMetricChange) {
return metric("OnlineIndexConsumedWriteCapacity", { unit: "Count", ...change });
}
/**
* The percentage of completion when a new global secondary index is being added to a table.
* DynamoDB must first allocate resources for the new index, and then backfill attributes from the
* table into the index. For large tables, this process might take a long time. You should monitor
* this statistic to view the relative progress as DynamoDB builds the index.
*
* Units: Count
*
* Dimensions: TableName, GlobalSecondaryIndexName
*
* Valid Statistics:
* * Minimum
* * Maximum
* * Average
* * SampleCount
* * Sum
*/
export function onlineIndexPercentageProgress(change?: DynamodbMetricChange) {
return metric("OnlineIndexPercentageProgress", { unit: "Count", ...change });
}
/**
* The number of write throttle events that occur when adding a new global secondary index to a
* table. These events indicate that the index creation will take longer to complete, because
* incoming write activity is exceeding the provisioned write throughput of the index.
*
* You can adjust the write capacity of the index using the UpdateTable operation, even while the
* index is still being built.
*
* Note that the WriteThrotttleEvents metric for the index does not include any throttle events that
* occur during index creation.
*
* Units: Count
*
* Dimensions: TableName, GlobalSecondaryIndexName
*
* Valid Statistics:
* * Minimum
* * Maximum
* * Average
* * SampleCount
* * Sum
*/
export function onlineIndexThrottleEvents(change?: DynamodbMetricChange) {
return metric("OnlineIndexThrottleEvents", { unit: "Count", ...change });
}
/**
* (This metric is for DynamoDB global tables.) The number of item updates that are written to
* one replica table, but that have not yet been written to another replica in the global table.
*
* Units: Count
*
* Dimensions: TableName, ReceivingRegion
*
* Valid Statistics:
* * Average
* * Sample Count
* * Sum
*/
export function pendingReplicationCount(change?: DynamodbMetricChange) {
return metric("PendingReplicationCount", { unit: "Count", ...change });
}
/**
* The number of provisioned read capacity units for a table or a global secondary index. The
* TableName dimension returns the ProvisionedReadCapacityUnits for the table, but not for any
* global secondary indexes. To view ProvisionedReadCapacityUnits for a global secondary index,
* you must specify both TableName and GlobalSecondaryIndex.
*
* Units: Count
*
* Dimensions: TableName, GlobalSecondaryIndexName
*
* Valid Statistics:
* * Minimum – Lowest setting for provisioned read capacity. If you use UpdateTable to increase
* read capacity, this metric shows the lowest value of provisioned ReadCapacityUnits during
* this time period.
* * Maximum – Highest setting for provisioned read capacity. If you use UpdateTable to decrease
* read capacity, this metric shows the highest value of provisioned ReadCapacityUnits during
* this time period.
* * Average – Average provisioned read capacity. The ProvisionedReadCapacityUnits metric is
* published at five-minute intervals. Therefore, if you rapidly adjust the provisioned read
* capacity units, this statistic might not reflect the true average.
*/
export function provisionedReadCapacityUnits(change?: DynamodbMetricChange) {
return metric("ProvisionedReadCapacityUnits", { unit: "Count", ...change });
}
/**
* The number of provisioned write capacity units for a table or a global secondary index
*
* The TableName dimension returns the ProvisionedWriteCapacityUnits for the table, but not for
* any global secondary indexes. To view ProvisionedWriteCapacityUnits for a global secondary
* index, you must specify both TableName and GlobalSecondaryIndex.
*
* Units: Count
*
* Dimensions: TableName, GlobalSecondaryIndexName
*
* Valid Statistics:
* * Minimum – Lowest setting for provisioned write capacity. If you use UpdateTable to increase
* write capacity, this metric shows the lowest value of provisioned WriteCapacityUnits during
* this time period.
* * Maximum – Highest setting for provisioned write capacity. If you use UpdateTable to
* decrease write capacity, this metric shows the highest value of provisioned
* WriteCapacityUnits during this time period.
* * Average – Average provisioned write capacity. The ProvisionedWriteCapacityUnits metric is
* published at five-minute intervals. Therefore, if you rapidly adjust the provisioned write
* capacity units, this statistic might not reflect the true average.
*/
export function provisionedWriteCapacityUnits(change?: DynamodbMetricChange) {
return metric("ProvisionedWriteCapacityUnits", { unit: "Count", ...change });
}
/**
* Requests to DynamoDB that exceed the provisioned read capacity units for a table or a global
* secondary index.
*
* A single request can result in multiple events. For example, a BatchGetItem that reads 10
* items is processed as ten GetItem events. For each event, ReadThrottleEvents is incremented
* by one if that event is throttled. The ThrottledRequests metric for the entire BatchGetItem
* is not incremented unless all ten of the GetItem events are throttled.
*
* The TableName dimension returns the ReadThrottleEvents for the table, but not for any global
* secondary indexes. To view ReadThrottleEvents for a global secondary index, you must specify
* both TableName and GlobalSecondaryIndex.
*
* Units: Count
*
* Dimensions: TableName, GlobalSecondaryIndexName
*
* Valid Statistics:
* * SampleCount
* * Sum
*/
export function readThrottleEvents(change?: DynamodbMetricChange) {
return metric("ReadThrottleEvents", { statistic: "Sum", unit: "Count", ...change });
}
/**
* (This metric is for DynamoDB global tables.) The elapsed time between an updated item
* appearing in the DynamoDB stream for one replica table, and that item appearing in another
* replica in the global table.
*
* Units: Milliseconds
*
* Dimensions: TableName, ReceivingRegion
*
* Valid Statistics:
* * Average
* * Minimum
* * Maximum
*/
export function replicationLatency(change?: DynamodbMetricChange) {
return metric("ReplicationLatency", { unit: "Milliseconds", ...change });
}
/**
* The number of bytes returned by GetRecords operations (Amazon DynamoDB Streams) during the
* specified time period.
*
* Units: Bytes
*
* Dimensions: Operation, StreamLabel, TableName
*
* Valid Statistics:
* * Minimum
* * Maximum
* * Average
* * SampleCount
* * Sum
*/
export function returnedBytes(change?: DynamodbMetricChange) {
return metric("ReturnedBytes", { unit: "Bytes", ...change });
}
/**
* The number of items returned by Query or Scan operations during the specified time period.
*
* Note that the number of items returned is not necessarily the same as the number of items
* that were evaluated. For example, suppose you requested a Scan on a table that had 100 items,
* but specified a FilterExpression that narrowed the results so that only 15 items were
* returned. In this case, the response from Scan would contain a ScanCount of 100 and a Count
* of 15 returned items.
*
* Units: Count
*
* Dimensions: TableName, Operation
*
* Valid Statistics:
* * Minimum
* * Maximum
* * Average
* * SampleCount
* * Sum
*/
export function returnedItemCount(change?: DynamodbMetricChange) {
return metric("ReturnedItemCount", { unit: "Count", ...change });
}
/**
* The number of stream records returned by GetRecords operations (Amazon DynamoDB Streams)
* during the specified time period.
*
* Units: Count
*
* Dimensions: Operation, StreamLabel, TableName
*
* Valid Statistics:
* * Minimum
* * Maximum
* * Average
* * SampleCount
* * Sum
*/
export function returnedRecordsCount(change?: DynamodbMetricChange) {
return metric("ReturnedRecordsCount", { unit: "Count", ...change });
}
/**
* Successful requests to DynamoDB or Amazon DynamoDB Streams during the specified time period.
* SuccessfulRequestLatency can provide two different kinds of information:
*
* The elapsed time for successful requests (Minimum, Maximum, Sum, or Average). The number of
* successful requests (SampleCount).
*
* SuccessfulRequestLatency reflects activity only within DynamoDB or Amazon DynamoDB Streams,
* and does not take into account network latency or client-side activity.
*
* Units: Milliseconds
*
* Dimensions: TableName, Operation
*
* Valid Statistics:
* * Minimum
* * Maximum
* * Average
* * SampleCount
*/
export function successfulRequestLatency(change?: DynamodbMetricChange) {
return metric("SuccessfulRequestLatency", { unit: "Milliseconds", ...change });
}
/**
* Requests to DynamoDB or Amazon DynamoDB Streams that generate an HTTP 500 status code during
* the specified time period. An HTTP 500 usually indicates an internal service error.
*
* Units: Count
*
* Dimensions: All dimensions
*
* Valid Statistics:
* * Sum
* * SampleCount
*/
export function systemErrors(change?: DynamodbMetricChange) {
return metric("SystemErrors", { statistic: "Sum", unit: "Count", ...change });
}
/**
* The number of items deleted by Time To Live (TTL) during the specified time period. This
* metric helps you monitor the rate of TTL deletions on your table.
*
* Units: Count
*
* Dimensions: TableName
*
* Valid Statistics:
* * Sum
*/
export function timeToLiveDeletedItemCount(change?: DynamodbMetricChange) {
return metric("TimeToLiveDeletedItemCount", { statistic: "Sum", unit: "Count", ...change });
}
/**
* Requests to DynamoDB that exceed the provisioned throughput limits on a resource (such as a
* table or an index).
*
* ThrottledRequests is incremented by one if any event within a request exceeds a provisioned
* throughput limit. For example, if you update an item in a table with global secondary
* indexes, there are multiple events—a write to the table, and a write to each index. If one or
* more of these events are throttled, then ThrottledRequests is incremented by one.
*
* Note: In a batch request (BatchGetItem or BatchWriteItem), ThrottledRequests is only
* incremented if every request in the batch is throttled.
*
* If any individual request within the batch is throttled, one of the following metrics is
* incremented:
*
* * ReadThrottleEvents – For a throttled GetItem event within BatchGetItem.
* * WriteThrottleEvents – For a throttled PutItem or DeleteItem event within BatchWriteItem.
*
* To gain insight into which event is throttling a request, compare ThrottledRequests with the
* ReadThrottleEvents and WriteThrottleEvents for the table and its indexes.
*
* Note: A throttled request will result in an HTTP 400 status code. All such events are
* reflected in the ThrottledRequests metric, but not in the UserErrors metric.
*
* Units: Count
*
* Dimensions: TableName, Operation
*
* Valid Statistics:
* * Sum
* * SampleCount
*/
export function throttledRequests(change?: DynamodbMetricChange) {
return metric("ThrottledRequests", { statistic: "Sum", unit: "Count", ...change });
}
/**
* Requests to DynamoDB or Amazon DynamoDB Streams that generate an HTTP 400 status code during
* the specified time period. An HTTP 400 usually indicates a client-side error such as an
* invalid combination of parameters, attempting to update a nonexistent table, or an incorrect
* request signature.
*
* All such events are reflected in the UserErrors metric, except for the following:
*
* * ProvisionedThroughputExceededException – See the ThrottledRequests metric in this section.
* * ConditionalCheckFailedException – See the ConditionalCheckFailedRequests metric in this
* section.
*
* UserErrors represents the aggregate of HTTP 400 errors for DynamoDB or Amazon DynamoDB
* Streams requests for the current region and the current AWS account.
*
* Units: Count
*
* Valid Statistics:
* * Sum
* * SampleCount
*/
export function userErrors(change?: DynamodbMetricChange) {
return metric("UserErrors", { statistic: "Sum", unit: "Count", ...change });
}
/**
* Requests to DynamoDB that exceed the provisioned write capacity units for a table or a global
* secondary index.
*
* A single request can result in multiple events. For example, a PutItem request on a table
* with three global secondary indexes would result in four events—the table write, and each of
* the three index writes. For each event, the WriteThrottleEvents metric is incremented by one
* if that event is throttled. For single PutItem requests, if any of the events are throttled,
* ThrottledRequests is also incremented by one. For BatchWriteItem, the ThrottledRequests
* metric for the entire BatchWriteItem is not incremented unless all of the individual PutItem
* or DeleteItem events are throttled.
*
* The TableName dimension returns the WriteThrottleEvents for the table, but not for any global
* secondary indexes. To view WriteThrottleEvents for a global secondary index, you must specify
* both TableName and GlobalSecondaryIndex.
*
* Units: Count
*
* Dimensions: TableName, GlobalSecondaryIndexName
*
* Valid Statistics:
* * Sum
* * SampleCount
*/
export function writeThrottleEvents(change?: DynamodbMetricChange) {
return metric("WriteThrottleEvents", { statistic: "Sum", unit: "Count", ...change });
}
}