alerting, visualising etc... • Less bootstrap process • tiny setup process (a java agent, a chef recipe etc...) • built-in user friendly web Interface • No dedicated person is needed to develop/operate • experts in an area do it well • easy to manage with programable API
themselves • adding custom tracer, custom metrics • Don't have to prepare profiler for each language • Java, Scala, Ruby, (Golang), etc... • suit for Microservices
setup with Chef • 100+ built in integration (AWS, MySQL, Docker...) • correlate metrics with events • tag-based flexible visualization • build your own interactive dashboards
install datadog # Set Datadog-specific attributes node.default['datadog']['api_key'] = "xxxxxxxxxx" # Add a recipe in your run list "run_list": ["recipe[datadog::dd-agent]"]
• chef cookbook & built-in integration • customisable dashboard for each developers • Find the root cause quickly • gather all of metrics/events/alerting at one place • tag-based flexible visualization • correlating metrics & events
• provide connectors to various data sources • MySQL, Redshift, Google Analytics, BigQuery, etc... • Presto with Prestogres • non-engineer can create dashboard w/o SQL
1 JP 1000000 2 US 2000000 3 GB 3000000 4 JP 4000000 article_id url title 1 http://aaa Article A 2 http://bbb Article B 3 http://ccc Article C 4 http://ddd Article D Layer2 MySQL Result Join https://support.chartio.com/docs/charts/#merging-data-joins
JP 1000000 http://aaa Article A 2 US 2000000 http://bbb Article B 3 GB 3000000 http://ccc Article C 4 JP 4000000 http://ddd Article D Joined Layer : BigQuery + MySQL https://support.chartio.com/docs/charts/#merging-data-joins CSV Graph Mail
It seems that iPhone 6's user complaints about new features. Can I compare with the result of each devices? e.g. : A request from client developers Categorical Drop down
• everyone can be SQL Monkey • non-engineer can do by WebUI • Easy to drill down from overview to each users • overall summaries • each OS, country, region, language, etc...
integration • only aiming for meeting our requirements • It became an official integration • https://www.datadoghq.com/2015/02/monitor- fluentd-datadog/
to attend them • Velocity Conference 2013, 2015 • Amazon re:Invent 2014 • Great time to talk with core developers • learn new services & new features • explain our feature requests by myself • ask their product roadmap
startup • 2014/12/11: NewRelic raised $115M in IPO • 2015/01/29: Datadog raised $31M in Funding • 2015/06/01: SumoLogic raised $80M in Funding • SaaS will evolve rapidly with a large amount of funds? • probably in my opinion
We have a lot of tasks to do • Professionals solve specific issues in behalf of us • No dedicated engineer is needed for it • We can focus on our own problems