From 70c4d6be3f2a14bf5da9088289f3eba782139484 Mon Sep 17 00:00:00 2001 From: Maxime Petazzoni Date: Mon, 17 Dec 2018 16:07:44 -0800 Subject: [PATCH] Remove EAP guide --- docs/early-access/README.md | 469 ------------------ docs/early-access/alert-to-traces.jpg | Bin 159847 -> 0 bytes docs/early-access/charts-to-traces.jpg | Bin 191792 -> 0 bytes docs/early-access/sampling.jpg | Bin 95784 -> 0 bytes .../early-access/trace-view-span-selected.jpg | Bin 199064 -> 0 bytes docs/early-access/trace-view-zoomed-in.jpg | Bin 251039 -> 0 bytes docs/early-access/trace-view-zoomed-out.jpg | Bin 183641 -> 0 bytes docs/early-access/traces-filtering.jpg | Bin 86728 -> 0 bytes docs/early-access/traces-index.jpg | Bin 116262 -> 0 bytes docs/early-access/traces-list.jpg | Bin 60153 -> 0 bytes docs/early-access/traces-map-hover.jpg | Bin 126707 -> 0 bytes 11 files changed, 469 deletions(-) delete mode 100644 docs/early-access/README.md delete mode 100644 docs/early-access/alert-to-traces.jpg delete mode 100644 docs/early-access/charts-to-traces.jpg delete mode 100644 docs/early-access/sampling.jpg delete mode 100644 docs/early-access/trace-view-span-selected.jpg delete mode 100644 docs/early-access/trace-view-zoomed-in.jpg delete mode 100644 docs/early-access/trace-view-zoomed-out.jpg delete mode 100644 docs/early-access/traces-filtering.jpg delete mode 100644 docs/early-access/traces-index.jpg delete mode 100644 docs/early-access/traces-list.jpg delete mode 100644 docs/early-access/traces-map-hover.jpg diff --git a/docs/early-access/README.md b/docs/early-access/README.md deleted file mode 100644 index 189057e4..00000000 --- a/docs/early-access/README.md +++ /dev/null @@ -1,469 +0,0 @@ -# Distributed Tracing & Microservices APM Early Access Program - -## Overview - -New applications and existing monolithic apps are being decomposed into -distributed service-oriented/microservices-based software systems using various -tools, languages, frameworks and cloud services. These new environments require -a new way to understand user transactions that flow across service boundaries -with a transaction going through 10s/100s of services to complete a single user -request. - -SignalFx's Distributed tracing will offer unique insights into distributed -applications - performance and troubleshooting - complementing metrics-based -monitoring approach; by utilizing our class-leading real-time metrics analytics -platform, we intend to make distributed tracing useful beyond end-to-end -troubleshooting and uplevel it to a performance optimization solution by -applying real-time analytics to span/trace data. - -Some key functionality we intend to deliver over the coming year includes: - -* Ingesting, storing and visualizing instrumentation agnostic trace data -* Rapid end-to-end troubleshooting with service maps, slice/dice - high-cardinality spans, trace latency histogram -* RED Metrics for spans, per end-point & service profiles and built-in alerts -* Dependency-aware alerting & troubleshooting to get you to root cause rapidly -* Infra metrics related to spans/traces to help with problem isolation quickly - -## Early Access Program - -Our Early Access Program (EAP) for Distributed Tracing is intended for early -interaction, engagement and feedback with a select set of customers that we -consider design partners on the journey to delivering a best in class -distributed tracing and microservices APM solution. This EAP will give you -access to new features as we're building them - as such, they should be -considered "alpha quality": you may experience bugs or user experience nits -along the way and we'll be looking forward to your feedback as we continue to -build this new and exciting facet of SignalFx's offering. - -We will continue to rapidly add functionality mentioned above with a -monthly/quaterly cadence and expect to receive candid feedback from this Early -Access group so we can continue to iterate towards an outstanding product that -solves customer problems in truly unique, innovative ways. - -### Feedback and support requests - -For the duration of this Early Access Program for our Distributed Tracing & APM -features, please refrain from using our normal support channels and direct all -your feedback and questions via email to `tracing-feedback@signalfx.com`. - -## Instrumentation - -Akin to our approach for metrics instrumentation, SignalFx intends to remain as -instrumentation-agnostic as possible, leveraging open-source and open standards -for client-side tracing instrumentation and wire formats. We intend to ingest -spans in Zipkin's JSON formats (both v1 and v2) as well as Jaeger Thrift format. -We've developed a normalized data model to ingest & represent different formats -so you can use SignalFx to provide powerful real-time data exploration -capabilities and easy-to-use trace visualization and analysis features for the -instrumentation of your choice. You'll find more details and examples for how to -instrument and export spans to SignalFx in our -[tracing-examples](https://github.com/signalfx/tracing-examples) repository. - -

- - OpenTracing -    - - Jaeger Tracing -    - - ZipKin -    - - OpenCensus - -

- -## Sending trace data to SignalFx - -Listed below are three options to send trace data to SignalFx. - -The first two options, sending directly to our Trace Ingest API or via -the Metric Proxy, should only be used for limited PoC/testing. The third -option described below, using the SignalFx Smart Gateway, is the -recommended production deployment. It enables tail-based sampling by -analyzing all traces in your environment and keeping the ones that matter -most i.e. traces with higher than expected latency & errors. - - -### Sending directly to our Trace Ingest API (only for "Limited PoC / Testing" with small trace volume) - -SignalFx's ingest API now exposes a new endpoint for ingesting trace data, -available at `https://ingest.signalfx.com/v1/trace`. As of June 2018, this -endpoint accepts lists of spans encoded in [Zipkin's JSON -formats](https://zipkin.io/zipkin-api/) (both v1 and v2 encodings) or Jaeger -Thrift format. - -Like the rest of SignalFx's APIs, you need to provide a valid `X-SF-Token` -header. You may also compress the payload with GZip and set the -`Content-Encoding: gzip` as necessary. - -The endpoint will return a JSON document describing how many spans were valid -and accepted, and what spans were rejected (and for what reason), if any. - -``` -POST /v1/trace HTTP/1.1 -Host: ingest.signalfx.com -X-SF-Token: -Content-Type: application/json - -[{...},{...},{...}] - -HTTP/1.1 200 OK -Content-Length: 24 -Content-Type: application/json; charset=utf-8 - -{"invalid":{},"valid":3} -``` - -### Metricproxy (only for "Limited PoC / Testing" with small trace volume) - -If you want to use the SignalFx -[Metricproxy](https://github.com/signalfx/metricproxy), your already existing -SignalFx listener and forwarder configurations can be used to forward trace data -to our ingest endpoint. Make sure that you upgrade to version 0.10.11 or above -of the metricproxy to get support for trace data in both Jaeger and Zipkin -formats. - -Once you have configured the metricproxy with the listener configuration below, -simply point your tracers to report spans to `:8080/v1/trace`. - -``` -{ - "ListenAddr": "0.0.0.0:8080", - "Type": "signalfx" -} -``` - -### Smart Gateway (recommended in production; enables tail-based sampling) - -If you're looking to use the SignalFx Smart Gateway, Get the SignalFx -Smart Gateway binary from SignalFx (smart-gateway), and follow the -deployment steps mentioned at the following link for metrics proxy: -https://github.com/signalfx/metricproxy - -To enable Smart Sampling you will need to add a stanza to your config file like -the example below. The only value you should have to configure is where the -Smart Gateway writes out state when restarting (the `BackupLocation`). The -configuration file needs to be placed at `/etc/sfdbconfig.conf`. - -```json -{ - "StatsDelay": "10s", - "LogDir": "/var/log/sfproxy", - "ListenFrom": [ - { - "Type": "signalfx", - "ListenAddr": "0.0.0.0:8080" - } - ], - "ForwardTo": [ - { - "type": "signalfx", - "DefaultAuthToken": "PUTYOURTOKENHERE", - "Name": "smart-gateway", - "TraceSample": { - "BackupLocation": "/var/config/sfproxy/data" - } - } - ] -} -``` - -Where `/var/log/sfproxy` is where you want logs to go, and -`/var/config/sfproxy/data` is a good location to save data to for persistent -restarts. You can also change the `Name` to some identifier of your choosing. - -You can then point your applications to report their trace spans to -`:8080/v1/trace`. You can also send datapoints to -`:8080/v2/datapoint` and events to -`:8080/v2/event` if you want to use one Smart Gateway for -everything. - -It is recommended you compress your span payloads. Content-Encoding of `gzip` -is supported by the Smart Gateway. - -#### Instance sizing - -Recommended instance sizing to run the Smart Gateway are as follows, based -on your expected volume of trace spans per minute (SPM): - -|SPM|AWS EC2 Type| -|---|---| -|>2M|c5.18xlarge| -|1-2M|c5.9xlarge| -|250k-1M|c5.4xlarge| -|<250k|c5.2xlarge| - -### About timestamps and durations - -Note that span timestamps represent _microseconds_ since UTC Epoch, and span -durations are expressed in _microseconds_ as well. Trace and span data returned -by SignalFx's APIs will also have timestamps and durations expressed in -microseconds. - -### Span validation - -SignalFx checks several elements of the received spans to make sure they are -valid and respect certain limitations. Spans that do not comply to the following -rules are not accepted, and their span IDs are provided in the trace ingest -API's response. - -* the span's `id` must be present and must be a valid 16-character hexadecimal - string -* the `traceId` must be present and must be a valid 16-character or 32-character - hexadecimal string -* the `parentSpanId`, if provided, must be a valid 16-character hexadecimal - string -* the span's `name` must be present and must be a unicode string no longer than - 1024 characters, and that does not contain any single or double quotes (same - rules as for metric names) -* the span's timestamp must be no older than your [data - retention](#data-retention) and must not be more than 1 hour into the future - -- as a relatively loose safeguard against clock skew. -* tag keys must be unicode strings no longer than 128 characters and cannot - start with `_` or `sf_` -* the total size of the tag keys, values and annotations must be less - than 64kB - -### Sending spans from code - -Any OpenTracing-compatible `Tracer` implementation that can report spans -in Zipkin's JSON formats (v1 or v2), or in Jaeger's Thrift format can be -used to send spans to SignalFx from your applications. Here's an example -using Jaeger's Java client library: - -```java -String ingestUrl = "https://ingest.signalfx.com/v1/trace"; -String accessToken = "..."; -String serviceName = "..."; - -// Setup the HttpSender to report to SignalFx with the access token -OkHttpSender.Builder senderBuilder = OkHttpSender.newBuilder() - .compressionEnabled(true) - .endpoint(ingestUrl); - -senderBuilder.clientBuilder().addInterceptor(chain -> { - Request request = chain.request().newBuilder() - .addHeader("X-SF-Token", accessToken) - .build(); - return chain.proceed(request); -}); - -OkHttpSender sender = senderBuilder.build(); - -// Build the Jaeger Tracer instance, which implements the OpenTracing -// Tracer interface. -Tracer tracer = new JaegerTracer.Builder("service-name") - // This configures the tracer to send all spans, but you will - // probably want to use something less verbose. - .withSampler(new ConstSampler(true)) - .withReporter(new ZipkinV2Reporter(AsyncReporter.create(sender))) - .build(); - -// It is considered best practice to at least register the GlobalTracer -// instance, even if you don't generally use it. -GlobalTracer.register(tracer); -``` - -For a more complete example, refer to the [Jaeger -Java](https://github.com/signalfx/tracing-examples/jaeger-java/) -example. You'll also find other examples for Jaeger tracing libraries -and for other programming languages in this -[tracing-examples](https://github.com/signalfx/tracing-examples) -repository. - -### Metrics about received spans - -SignalFx emits two counter metrics into your organization, -`sf.org.numSpansReceived` and `sf.org.numSpansReceivedByToken`, to help you -visualize how many spans you are sending to SignalFx. In the future, we'll also -publish metrics about invalid spans that were rejected (and why). - -## Data retention - -Full trace data is kept for eight days, relative to the spans' timestamp (and -not the time at which it was received). Note that for the duration of this Early -Access Program, SignalFx makes no guarantees as to the availability and -persistence of the trace data. We will provide clear SLAs and data retention -limits as we approach GA. - -## Exploring trace data - -For this early release of SignalFx's distributed tracing and microservices APM -features, we focused on fulfulling the troubleshooting workflow: allowing you to -work your way from an alert or an anomaly witnessed in a chart to a -representative trace in which you can pinpoint the root cause of the issue. - -Alerts viewed in SignalFx will now show a _"View traces from this time window"_ -link as part of the alert details. Similarly, charts' hamburger menu offers a -_"View Traces from this time window"_ option. Both take you to the new _Traces_ -page, carrying over the relevant time context. - -

- Screenshot of the alert modal showing a link to view traces -   - Screenshot of a dashboard showing a chart menu option to view traces -

- -> Upcoming: more context and metadata will be captured from the alert or chart -> to further scope the search to the relevant traces. - -### The Traces page - -

- Screenshot of the traces index page -

- -The _Traces_ page is where you can search, filter and visualize your trace data. -It can be reached by selecting _TRACES > All Traces_ in the navigation menu, or -directly at `https://app.signalfx.com/#/traces`. The top bar offers several -filters that, together, can help you surface a particular subset of traces that -you're interested in: - -- the _Service_ filter will match traces that contain spans going through the - selected service(s); -- the _Operation_ filter will match traces that contain spans of the selected - name(s); -- the _Filter_ field allows you to further constrain the search to spans - containing the given `key:value` pair metadata tags; -- the _Duration_ filter will match traces in the specified range (for example: - `> 3s` for traces longer than 3 seconds, or `100ms to 2s` for traces lasting - between 100ms and 2s); -- last but not least, the _Time_ filter allows you to select the time window in - which to search. - -

- The traces index page with a service filter applied -

- -> Upcoming: multi-select for services and operation names, an easier experience -> for selecting and writing tags to filter on, and auto-suggest of tag names. - -The contents of the _Traces_ page are computed and rendered from the results of -this search. The _Dependency Map_ is dynamically generated, representing the -services and interactions between those services captured by the matched traces. -Hovering over nodes and edges will reveal additional information about those -services and interactions: number of requests/traces, error rate and average -duration. - -By default, the map is colored by service. Each service is assigned a color in a -stable manner. When viewing a trace, coloring by service will represent those -services by the same color. Alternatively, you can choose to color the map -according to the error rate: a 0% error rate will color nodes green, and -progressively more yellow, orange and red as the error rate increases to 100%. - -The _Latency Distribution_ histogram represents the distribution of durations of -the matched traces. It allows you to quickly identify abnormal traces, long tail -issues, or bi-modal distributions. - -> Upcoming: the ability to select an area of the distribution to filter for -> traces with a duration within the selected range. - -The bottom of the page shows a representative sample of the matched traces (or -all the results, if there aren't too many of them). The traces are grouped by -initiating operation. Each group shows the services involved in those traces, -the error rate, and a box-and-whisker representation of the distribution of the -traces within the group. - -

- The grouped list of traces at the bottom of the traces index page -

- -Clicking on a group's heading will expand and collapse the group, revealing the -individual traces. Each entry provides a link to view the trace, the exact time -of the trace (in your configured timezone), the services traversed by the trace -and how many spans were recorded on each service, as well as the precise -duration of the trace. - -### Result sampling - -Because the number of traces matching your search criteria might be very large, -SignalFx will compute the dependency map and distribution histogram on a random -sample of those results. The request counts, error rates and latency averages -and distrubions are all computed from those results as well. When this happens, -you will see the following banner at the top of the page: - -

- Screenshot of a banner that appears on the traces index page when the result set was sampled -

- -If you search is constrained enough to fit within that sample size, the banner -will disappear. During the Early Access Program, this sample size is set fairly -low (around 5000 results); we'll continue to work on raising that number to -improve the accuracy of the distribution histogram. - -Additionally, to avoid showing unmanageably large lists in the traces table, we -further reduce the number of individual results that are returned to populate -the grouped traces table. - -### Viewing a trace - -You can view an individual trace either by finding one from the _Traces_ page or -by entering its trace ID in the designated input field. You can also link -directly to a trace by going to `https://app.signalfx.com/#/trace/`. - -One of the main goals of the trace view is to guide you to the interesting -sections of the trace as quickly as possible. This is why when the trace is -loaded, you start with a "zoomed out" view of the trace's structure in the main -area. If the trace doesn't have a lot of spans and fits in the view, it will be -automatically zoomed in. The _View Options_ dropdown allows you to control -collapsing options, for example to collapse all the non-RPC spans, leaving only -the inter-service interactions shown. - -The sidebar to the right contains metadata about the trace itself, a summary of -the services involved in this transaction and a map of those services. Finally, -the _Top Contributors_ section offers insights into which service(s), or which -operation(s), are the main drivers of latency in this trace based on how much -time they contribute to the overall trace. This can help you quickly identify a -problematic service or expensive operation in the path of that transaction. - -

- Screenshot of the trace view page with a trace zoomed out -

- -Scrolling into the main area controls the zoom. Span labels will appear when you -reach maximum zoom. After that, you can continue to scroll to control the "time -dilation", allowing you to see short duration spans in more details. You can pan -around the trace with click-and-drag. - -When zoomed in, span labels are rendered, showing the name of the service and -the name of the operation that was captured by each span. Parent/child -relationships between spans are also represented by the lines connecting the -spans together. Each sub-tree can be individually collapsed or expanded by -clicking the downwards caret to the left of a span with children. - -

- Screenshot of the trace view page with a trace zoomed in -

- -#### Span details - -Hovering over spans in the main view reveals a tooltip with a quick summary of -the span. To view the full details of a span's metadata, select a span by -clicking on it; this will open a new section called _Span Metadata_ in the -sidebar. All the span's metadata tags and annotations will be displayed there. - -> Upcoming: improved and intelligent rendering of span metadata tag values based -> on the tag name, in particular for tags known to OpenTracing. - -You can deselect a span by clicking back on it, or by clicking anywhere in the -empty space of the trace view. - -

- Screenshot of the trace view page with a span selected -

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