storj/go.mod

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module storj.io/storj
go 1.13
2019-07-01 12:57:05 +01:00
pkg/process: Now that we are trying to identify the root cause of the satellite load limitations (i.e. currently the satellite has a max ability of 400 rps for uploads and we need this to be higher), we are using the golang diagnostic tools to collect insight into what the bottlenecks are. We currently have a debug endpoint to gather some cpu and mem data, but it could be useful to have continuous profiling. GCP stackdriver has support for continuous profiling so lets set that up and see if it is helpful to gather more data. This PR adds support for [GCP continuous profiler](https://cloud.google.com/profiler) which allows enabling continuous cpu/mem profiling and the stats are sent to stackdriver in google cloud console. To enable the continuous profiling for a storj component, do the following: - prereq: the workload must be running in GKE and have Stackdriver Profiling IAM role permissions - provide the config flag `debug.profilename` in the config.yaml file for the workload (i.e. satellite api process, etc). The profilename should be the workload name, for example "satellite-api". - once the above config flag is provided, the profiler will be initialized and profiling stats will automatically be sent to GCP project where the workload is running and viewable in the Stackdriver Profile page in the console The current implementation assumes the workload is running in GKE, however if we find if useful we can add support to enable this from anywhere. But for simplicity, its configured this way assuming the main goal is to enable in production systems. Change-Id: Ibf8ebe2df7bf06fdd4951ee6a1e48854dd36ad47
2020-02-25 16:46:12 +00:00
replace google.golang.org/grpc => github.com/storj/grpc-go v1.27.2-0.20200225082019-bd19b647a81c
require (
pkg/process: Now that we are trying to identify the root cause of the satellite load limitations (i.e. currently the satellite has a max ability of 400 rps for uploads and we need this to be higher), we are using the golang diagnostic tools to collect insight into what the bottlenecks are. We currently have a debug endpoint to gather some cpu and mem data, but it could be useful to have continuous profiling. GCP stackdriver has support for continuous profiling so lets set that up and see if it is helpful to gather more data. This PR adds support for [GCP continuous profiler](https://cloud.google.com/profiler) which allows enabling continuous cpu/mem profiling and the stats are sent to stackdriver in google cloud console. To enable the continuous profiling for a storj component, do the following: - prereq: the workload must be running in GKE and have Stackdriver Profiling IAM role permissions - provide the config flag `debug.profilename` in the config.yaml file for the workload (i.e. satellite api process, etc). The profilename should be the workload name, for example "satellite-api". - once the above config flag is provided, the profiler will be initialized and profiling stats will automatically be sent to GCP project where the workload is running and viewable in the Stackdriver Profile page in the console The current implementation assumes the workload is running in GKE, however if we find if useful we can add support to enable this from anywhere. But for simplicity, its configured this way assuming the main goal is to enable in production systems. Change-Id: Ibf8ebe2df7bf06fdd4951ee6a1e48854dd36ad47
2020-02-25 16:46:12 +00:00
cloud.google.com/go v0.52.0
github.com/BurntSushi/toml v0.3.1
github.com/Shopify/go-lua v0.0.0-20181106184032-48449c60c0a9
github.com/alessio/shellescape v0.0.0-20190409004728-b115ca0f9053
github.com/alicebob/miniredis/v2 v2.11.1
2019-09-20 15:22:40 +01:00
github.com/blang/semver v3.5.1+incompatible
github.com/boltdb/bolt v1.3.1
github.com/btcsuite/btcutil v0.0.0-20180706230648-ab6388e0c60a
github.com/cheggaaa/pb/v3 v3.0.1
github.com/fatih/color v1.7.0
2018-09-28 16:44:02 +01:00
github.com/go-redis/redis v6.14.1+incompatible
github.com/gogo/protobuf v1.2.1
github.com/golang-migrate/migrate/v4 v4.7.0
github.com/golang/protobuf v1.3.2
github.com/gomodule/redigo v2.0.0+incompatible // indirect
pkg/process: Now that we are trying to identify the root cause of the satellite load limitations (i.e. currently the satellite has a max ability of 400 rps for uploads and we need this to be higher), we are using the golang diagnostic tools to collect insight into what the bottlenecks are. We currently have a debug endpoint to gather some cpu and mem data, but it could be useful to have continuous profiling. GCP stackdriver has support for continuous profiling so lets set that up and see if it is helpful to gather more data. This PR adds support for [GCP continuous profiler](https://cloud.google.com/profiler) which allows enabling continuous cpu/mem profiling and the stats are sent to stackdriver in google cloud console. To enable the continuous profiling for a storj component, do the following: - prereq: the workload must be running in GKE and have Stackdriver Profiling IAM role permissions - provide the config flag `debug.profilename` in the config.yaml file for the workload (i.e. satellite api process, etc). The profilename should be the workload name, for example "satellite-api". - once the above config flag is provided, the profiler will be initialized and profiling stats will automatically be sent to GCP project where the workload is running and viewable in the Stackdriver Profile page in the console The current implementation assumes the workload is running in GKE, however if we find if useful we can add support to enable this from anywhere. But for simplicity, its configured this way assuming the main goal is to enable in production systems. Change-Id: Ibf8ebe2df7bf06fdd4951ee6a1e48854dd36ad47
2020-02-25 16:46:12 +00:00
github.com/google/go-cmp v0.4.0
github.com/gorilla/mux v1.7.1
satellite/marketing: Create New Offer (#2186) * update UI to reflect final mockups * implement create handler and render offers table data to UI * fix line-height unit and remove important from selectors * update file names and ids for clarity * shorten 'label' in ids * localize global vars, fix endpoint names, remove unnecessary receiver, fix comments * fix unnecessary initialization of pointer * correct file-naming conventions * register timeConverter in an init func for safety and remove unnecessary important from css * consolidate create endpoints and add comments * register timeConverter in init func * add copyright to files * introduce require pkg * add proper http server unit test * update linting and create offers concurrently in unit test * fix getOffers comment * add copy-right to unit-test * fix data-races * fix linting * remove converter in NewServer * requested changes in progress * add require for checking status code * renamed template file * fix 400 handler * fix missing copyright and remove extra line * fix build * run goroutine for testing parallel * evaluate reqType with switch stmt and promp for credit amount in cents * fix lint issue * add default case * remove unnecessary var * fix range scope error * remove empty lines and use long form for struct field * fix merge conflicts * fix template reference * fix modal id * not delete package * add currency formatting and requested changes * markup formatting * lean out currency logic and move wait outside loop * pass ToDollars func to home template * fix lint
2019-06-28 15:34:10 +01:00
github.com/gorilla/schema v1.1.0
github.com/graphql-go/graphql v0.7.9
github.com/jackc/pgx v3.2.0+incompatible
github.com/jtolds/go-luar v0.0.0-20170419063437-0786921db8c0
github.com/jtolds/monkit-hw/v2 v2.0.0-20191108235325-141a0da276b3
github.com/jtolds/tracetagger/v2 v2.0.0-rc3
github.com/lib/pq v1.3.0
2018-12-17 11:41:40 +00:00
github.com/loov/hrtime v0.0.0-20181214195526-37a208e8344e
github.com/loov/plot v0.0.0-20180510142208-e59891ae1271
github.com/mattn/go-isatty v0.0.9 // indirect
github.com/mattn/go-sqlite3 v2.0.2+incompatible
github.com/nsf/jsondiff v0.0.0-20160203110537-7de28ed2b6e3
2019-02-06 08:04:12 +00:00
github.com/nsf/termbox-go v0.0.0-20190121233118-02980233997d
github.com/shopspring/decimal v0.0.0-20200105231215-408a2507e114
github.com/skyrings/skyring-common v0.0.0-20160929130248-d1c0bb1cbd5e
github.com/spacemonkeygo/monkit/v3 v3.0.1
github.com/spf13/cast v1.3.0
github.com/spf13/cobra v0.0.5
github.com/spf13/pflag v1.0.3
github.com/spf13/viper v1.4.0
github.com/stretchr/testify v1.4.0
github.com/stripe/stripe-go v63.1.1+incompatible
github.com/vivint/infectious v0.0.0-20190108171102-2455b059135b
github.com/zeebo/admission/v2 v2.0.0
github.com/zeebo/errs v1.2.2
lib/uplink: encryption context (#2349) * lib/uplink: encryption context Change-Id: I5c23dca3286a46b713b30c4997e9ae6e630b2280 * lib/uplink: bucket operation examples Change-Id: Ia0f6e69f365dcff0cf11c731f51b30842bce053b * lib/uplink: encryption key sharing test cases Change-Id: I3a172d565f33f4e591402cdcb9460664a7cc7fbe * fix encrypted path prefix restriction issue Change-Id: I8f3921f9d52aaf4b84039de608b8cbbc88769554 * implement panics in libuplink encryption code todo on cipher suite selection as well as an api concern Change-Id: Ifa39eb3cc4b3443f7d96f9304df9b2ac4ec4085d * implement GetProjectInfo api call to get salt Change-Id: Ic5f6b3be9ea35df48c1aa214ab5d355fb328e2cf * some fixes and accessors for encryption store Change-Id: I3bb61f6712a037900e2a96e72ad4029ec1d3f718 * general fixes to builds/tests/etc Change-Id: I9930fa96acb3b221d9a001f8e274af5729cc8a47 * java bindings changes Change-Id: Ia2bd4c9c69739c8d3154d79616cff1f36fb403b6 * get libuplink examples passing Change-Id: I828f09a144160e0a5dd932324f78491ae2ec8a07 * fix proto.lock file Change-Id: I2fbbf4d0976a7d0473c2645e6dcb21aaa3be7651 * fix proto.lock again Change-Id: I92702cf49e1a340eef6379c2be4f7c4a268112a9 * fix golint issues Change-Id: I631ff9f43307a58e3b25a58cbb4a4cc2495f5eb6 * more linting fixes Change-Id: I51f8f30b367b5bca14c94b15417b9a4c9e7aa0ce * bug fixed by structs bump Change-Id: Ibb03c691fce7606c35c08721b3ef0781ab48a38a * retrigger Change-Id: Ieee0470b6a2d07168a1578552e8e7f271ae93a13 * retrigger Change-Id: I753d63853171e6a436c104ce176048892eb974c5 * semantic merge conflict Change-Id: I9419448496de90340569047a6a16a1b858a7978a * update total to match prod defaults Change-Id: I693d55c1ebb28b5803ee1d26e9e198decf82308b * retrigger Change-Id: I28b74d5d6202f61aa3866fe407d423f6a0a14b9e * retrigger Change-Id: I6fd054885c715f602e2cef623fd464c42e88742c * retrigger Change-Id: I6a01bae88c72406d4ed5a8f13bf8a2b3c650bd2d
2019-06-27 18:36:51 +01:00
github.com/zeebo/structs v1.0.2
go.uber.org/zap v1.10.0
golang.org/x/crypto v0.0.0-20200220183623-bac4c82f6975
golang.org/x/sync v0.0.0-20190911185100-cd5d95a43a6e
pkg/process: Now that we are trying to identify the root cause of the satellite load limitations (i.e. currently the satellite has a max ability of 400 rps for uploads and we need this to be higher), we are using the golang diagnostic tools to collect insight into what the bottlenecks are. We currently have a debug endpoint to gather some cpu and mem data, but it could be useful to have continuous profiling. GCP stackdriver has support for continuous profiling so lets set that up and see if it is helpful to gather more data. This PR adds support for [GCP continuous profiler](https://cloud.google.com/profiler) which allows enabling continuous cpu/mem profiling and the stats are sent to stackdriver in google cloud console. To enable the continuous profiling for a storj component, do the following: - prereq: the workload must be running in GKE and have Stackdriver Profiling IAM role permissions - provide the config flag `debug.profilename` in the config.yaml file for the workload (i.e. satellite api process, etc). The profilename should be the workload name, for example "satellite-api". - once the above config flag is provided, the profiler will be initialized and profiling stats will automatically be sent to GCP project where the workload is running and viewable in the Stackdriver Profile page in the console The current implementation assumes the workload is running in GKE, however if we find if useful we can add support to enable this from anywhere. But for simplicity, its configured this way assuming the main goal is to enable in production systems. Change-Id: Ibf8ebe2df7bf06fdd4951ee6a1e48854dd36ad47
2020-02-25 16:46:12 +00:00
golang.org/x/sys v0.0.0-20200113162924-86b910548bc1
golang.org/x/time v0.0.0-20191024005414-555d28b269f0
pkg/process: Now that we are trying to identify the root cause of the satellite load limitations (i.e. currently the satellite has a max ability of 400 rps for uploads and we need this to be higher), we are using the golang diagnostic tools to collect insight into what the bottlenecks are. We currently have a debug endpoint to gather some cpu and mem data, but it could be useful to have continuous profiling. GCP stackdriver has support for continuous profiling so lets set that up and see if it is helpful to gather more data. This PR adds support for [GCP continuous profiler](https://cloud.google.com/profiler) which allows enabling continuous cpu/mem profiling and the stats are sent to stackdriver in google cloud console. To enable the continuous profiling for a storj component, do the following: - prereq: the workload must be running in GKE and have Stackdriver Profiling IAM role permissions - provide the config flag `debug.profilename` in the config.yaml file for the workload (i.e. satellite api process, etc). The profilename should be the workload name, for example "satellite-api". - once the above config flag is provided, the profiler will be initialized and profiling stats will automatically be sent to GCP project where the workload is running and viewable in the Stackdriver Profile page in the console The current implementation assumes the workload is running in GKE, however if we find if useful we can add support to enable this from anywhere. But for simplicity, its configured this way assuming the main goal is to enable in production systems. Change-Id: Ibf8ebe2df7bf06fdd4951ee6a1e48854dd36ad47
2020-02-25 16:46:12 +00:00
google.golang.org/grpc v1.26.0
gopkg.in/yaml.v2 v2.2.4
storj.io/common v0.0.0-20200226185531-a823b4a45116
storj.io/drpc v0.0.8
storj.io/uplink v1.0.0-rc.2
2018-09-28 16:44:02 +01:00
)