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36
aquarium.org
36
aquarium.org
@@ -60,13 +60,13 @@ Guppys, Salmler oder Schwerträger sind Anfängerfische
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*** Algenfresser einplanen
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* Aufbau
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- [ ] Cliff Motivrückwand
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- [ ] Cliff Filterverkleidung
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- [ ] Klebstoff
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- [ ] Nährboden ?
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* Aufbau [0/0]
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- [X] Cliff Motivrückwand
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- [X] Cliff Filterverkleidung
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- [X] Klebstoff
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- [X] Nährboden ?
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ca 2cm, nicht in allen Einsteigeranleitungen aufgeführt.
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- [ ] Bodengrund
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- [X] Bodengrund
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Sand oder Kies - abhängig von Bewohnenern
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Sand oder Kies durchspülen, bevor er eingelassen wird.
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@@ -74,25 +74,25 @@ Guppys, Salmler oder Schwerträger sind Anfängerfische
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Schräg nach hinten einfüllen, da bessere Wirkung beim Hineinschauen.
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5-10 cm Hoch
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- [ ] Red Moor Root Wurzeln
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- [ ] Dragon Stone
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- [X] Red Moor Root Wurzeln
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- [X] Dragon Stone
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- [ ] Eleoquaris acicularis Mini (vorne)
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- [ ] Gratiola viscidula (vorne)
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- [ ] Enchinodrus 'Reni' (mitte)
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- [ ] Sagittaria Subulata (mitte)
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- [ ] Pogostenum errectus (hinten)
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- [ ] versicularia ferriei 'Weeping' (a bissle auf Wurzeln)
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- [ ] klebstoff dazu ?
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- [ ] Planzpinzete
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- [X] Eleoquaris acicularis Mini (vorne)
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- [X] Gratiola viscidula (vorne)
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- [X] Enchinodrus 'Reni' (mitte)
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- [X] Sagittaria Subulata (mitte)
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- [X] Pogostenum errectus (hinten)
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- [X] versicularia ferriei 'Weeping' (a bissle auf Wurzeln)
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- [X] klebstoff dazu ?
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- [X] Planzpinzete
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** Beleuchtung
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den Bewohnern entsprechend
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Faustregel 12h hell 12h dunkel durch Regelung, am besten langsam dimmened.
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Wenn zu viele Algen, Beleuchtungspause am Mittag von 2-3h einplanen.
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** Technik installieren (z. B. Filter, Heizstab, Beleuchtung)
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- [ ] Wasser einlassen und bepflanzen
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- [X] Wasser einlassen und bepflanzen
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Teller aufelgen wo Wasser eingelassen wird
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Bei ca. 10 cm Wassser Bepflanzung beginnen.
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- [ ] Einlaufphase abwarten und Wasserwerte testen lassen
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- [X] Einlaufphase abwarten und Wasserwerte testen lassen
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@@ -1,12 +1,11 @@
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#+TITLE: Esszimmer Ausbauplan
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* Boden [3/4]
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* Boden [2/4]
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** DONE Teppich raus
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CLOSED: [2019-07-06 Sat 23:30]
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** DONE OSB legen
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CLOSED: [2019-07-06 Sat 23:30]
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** DONE Vinyl legen
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CLOSED: [2019-07-06 Sat 23:30]
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** TODO Vinyl legen
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** TODO Fussbodenleisten
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Ein kleines Stück fehlt noch
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* Steckdosen [3/4]
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@@ -22,8 +21,8 @@
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** DONE Einbauen
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CLOSED: [2019-07-06 Sat 23:28]
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** TODO Abschluss unter Tür
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* Fenster [1/2]
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** DONE Festerbänke erneuern
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* Fenster [0/2]
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** TODO Festerbänke erneuern
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** TODO Fester putzen
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* Wände [6/6]
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** DONE Trennwand verstärken
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@@ -45,8 +44,7 @@
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** DONE Streichen
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CLOSED: [2019-07-06 Sat 23:28]
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* Heizung [2/2]
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* Heizung [1/2]
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** DONE Heizkörper abauen lassen und Absperrhanen verbauen
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CLOSED: [2019-07-06 Sat 23:28]
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** DONE Neuer Heizkörper einbauen lassen
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CLOSED: [2019-07-06 Sat 23:37]
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** TODO Neuer Heizkörper einbauen lassen
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116
monitoring.org
Normal file
116
monitoring.org
Normal file
@@ -0,0 +1,116 @@
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#+TITLE: Monitoring Concept
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* Framing
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This concept will focus on monitoring a microservice in a Kubernetes cluster.
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* Why do we want to monitor?
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Monitoring service metrics enables us to
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- track and estimate long term trends, e.g. demand grows x%
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- compare if and how changes affect the service
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- know what usual behaviour is
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- alert unusual behaviour that might lead to a total failure of the service and needs maintainance now
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- track if and how often Service Level Agreements (SLAs) are not met
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- understand why a failure or defect of the service happend by corellating metrics
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* What do we want to monitor?
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#+BEGIN_QUOTE
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Four golden signals of monitoring are latency, traffic, errors, and
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saturation. --- [[https://landing.google.com/sre/sre-book/chapters/monitoring-distributed-systems/#xref_monitoring_golden-signals][SRE Book - Google]]
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#+END_QUOTE
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** Application metrics
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*** Latency
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How long does a service take to serve a request. The monitoring has to
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distiguish between different routes and parameters as the workload might
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differ.
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It's also important to distiguish between successfull and failed requests as
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the responst time might heavily differ.
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**** Metrics
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- 50, 90 and 95 percentile of the response time of successfull request per path
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*** Traffic
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How much demand is the service receiving.
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**** Metrics
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- number of request per path (or nature of request, like simple database read
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actions and database write actions)
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*** Errors
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Which and how many errors does a service emit. This can help in tracking down
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internal problems of the service, misconfigured clients or too slow responses.
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**** Metrics
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- HTTP status 5xx (internal errors)
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- HTTP status 4xx (client errors)
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- HTTP status 2xx violating a service level agreement (e.g. answered to slow)
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*** Saturation
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How occupied is your service? This can be one or multiple of the following,
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depending of the nature of your service. These could be derived by tracking
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the resources most demanded.
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**** Metrics
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- used memory vs. available memory
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- free disc space
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- free database connections when a pool is used
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- free threads when serving request in a threaded system
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In complex systems the request time of the 99th percentile can be a good
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metric to show how the system saturation currently is.
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** Service metrics
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*** Traffic
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**** Metrics
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- Network Traffic inbound and outbound
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*** Saturation
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**** Metrics
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- number of pods so scaling by the cloud environment is transparent
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*** Errors
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**** Metrics
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- service availability
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*** Infrastructure
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**** Metrics
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- deployment in progress
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- configuration change applied
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** Business metrics
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Depending on the service it might be worth to monitor the business goals.
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- KPIs, e.g. number of crashs reported
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- images uploaded
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* Alerting
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Alerting can be done via ticket systems, team chat channels, SMS or systems like
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Pager Duty.
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It's important to find the right balance between to many and too less alerts.
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This needs to be be constantly refined based on the changes and demand on the
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service.
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** Who is watching the watchers ?
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If the monitoring or the alerting infrastructure has an issue a failover
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system needs to be able to detect that an alert about the monitoring/alerting
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being down (so called meta monitoring).
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111
notes.org
111
notes.org
@@ -4,53 +4,44 @@
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* Work
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** Reoccurring Tasks
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*** TODO Schedule Day
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SCHEDULED: <2019-10-08 Tue 08:30-08:45>
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SSCHEDULEDCHEDULED: <2019-10-08 Tue 08:00-08:15>
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*** TODO Catch-Up (Emails/Slack)
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SCHEDULED: <2019-10-09 Wed 09:00-09:15 .+1d>
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SCHEDULED: <2020-01-31 Fri 08:15-08:30 .+1d>
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*** TODO Code Reviews :ATTACH:
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SCHEDULED: <2020-01-31 Fri 09:15 .+1d>
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:PROPERTIES:
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:LAST_REPEAT: [2019-10-08 Tue 09:24]
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:LAST_REPEAT: [2020-01-30 Thu 23:18]
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:ID: 7d95e27d-d2c4-45c8-bcf0-4d82768f59c1
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:END:
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- State "DONE" from "WAIT" [2019-10-08 Tue 09:24]
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*** TODO Code Reviews
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SCHEDULED: <2019-10-08 Tue 09:15 .+1d>
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:PROPERTIES:
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:LAST_REPEAT: [2019-10-08 Tue 09:24]
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:END:
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- State "DONE" from "WAIT" [2019-10-08 Tue 09:24]
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:LOGBOOK:
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CLOCK: [2019-10-08 Tue 08:24]--[2019-10-08 Tue 09:24] => 1:00
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:END:
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*** TODO 1 on 1 with Josip
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SCHEDULED: <2020-01-22 Wed .+2w>
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** Sprint Work
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*** Sprint Ceremonies
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** Other meetings
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** fb token service
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*** DONE investigate access_token null
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CLOSED: [2019-10-14 Mon 10:31]
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INVITE SECRET ~iPh5foo2ief4uv,i~ mit line break
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Seems weird, getting quite some errors in the live logs. Not too many but still.
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Added some more logging to the error in this [[https://github.com/BrandwatchLtd/facebook-token-service/pull/244][PR]].
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**** DONE check fb token service logs
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CLOSED: [2019-10-14 Mon 10:31] SCHEDULED: <2019-10-08 Tue>
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*** TODO iventigate page token count
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page tokens stored
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187 on [[https://prometheus.analytics-prod.gcp0.bwcom.net/graph?g0.range_input=1h&g0.end_input=2019-10-10%2000%3A37&g0.moment_input=2019-10-10%2000%3A35%3A18&g0.expr=page_tokens_stored%7Bservice%3D%22facebook-tokens%22%7D&g0.tab=1][here]]
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another 187 on [[https://prometheus.analytics-prod.gcp0.bwcom.net/graph?g0.range_input=1h&g0.end_input=2019-10-10%2000%3A37&g0.moment_input=2019-10-10%2000%3A35%3A38&g0.expr=page_tokens_stored%7Bservice%3D%22facebook-tokens%22%7D&g0.tab=1][here]]
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funnily on different nodes
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*** DONE Update graph API version
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CLOSED: [2019-10-09 Wed 10:51]
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*** TODO Stand-up
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SCHEDULED: <2020-01-24 Wed 11:00-11:15 .+1d>
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*** TODO Planning
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SCHEDULED: <2020-01-23 Wed .+2w>
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*** TODO Refinement
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SCHEDULED: <2020-01-29 Wed .+2w>
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*** TODO Review
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SCHEDULED: <2020-01-22 Wed .+2w>
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*** TODO Retrospective
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SCHEDULED: <2020-01-22 Wed .+2w>
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** Regular meetings
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** Howtos
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*** setup mitmproxy
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*** setup mitmproxy :ATTACH:
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:PROPERTIES:
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:ID: aaa8721b-af98-45b9-b295-c7c1447930e4
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:END:
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1. write a script to modify the response
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#+BEGIN_SRC python
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from mitmproxy import http
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def request(flow):
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if flow.request.pretty_url.find("/classifiers/trainings") >=0 and flow.request.method == 'PUT':
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flow.response = http.HTTPResponse.make(
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500,
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"<html><body>failed with mitmproxy</body></html>",
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@@ -76,50 +67,16 @@ Get ids from a json response ~{ results: [{id: 4}, ...] }~
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~curl URL | jq '.results[] | .id'~
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** Things to pass on
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*** TODO kitchen duty calendar
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SCHEDULED: <2019-10-10 Thu> DEADLINE: <2019-10-15 Tue>
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*** TODO remove Kamil from kitchen duty calendar
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SCHEDULED: <2019-10-10 Thu>
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*** TODO slack calendar integrations
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DEADLINE: <2019-10-15 Tue> SCHEDULED: <2019-10-10 Thu>
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*** TODO dependabot assignment
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SCHEDULED: <2019-10-10 Thu>
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** Other
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*** TODO separate randomly failing unit tests
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There are some randomly failing unit tests in the frontend.
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We currently retry ALL backbone frontend unit tests when they fail.
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This slows down CI and does not really help in identifying these.
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As a intermedate solution we want to separate these randomly failing unit tests
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in an own directory to be able to separate them from unit tests that work fine.
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This enables us to get rid of retrying all of them when some test fails.
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**** Failing tests
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- [X] [[https://jenkins.brandwatch.net/blue/organizations/jenkins/BrandwatchLtd%2Ffrontend/detail/master/2413/pipeline][DashboardToolbarView]]
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- [X] [[https://jenkins.brandwatch.net/blue/organizations/jenkins/BrandwatchLtd%2Ffrontend/detail/master/2369/pipeline][DashboardView]]
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- [X] [[https://jenkins.brandwatch.net/blue/organizations/jenkins/BrandwatchLtd%2Ffrontend/detail/PR-10357/1/pipeline/105][DataDownloadCollectionView]]
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- [X] [[https://jenkins.brandwatch.net/blue/organizations/jenkins/BrandwatchLtd%2Ffrontend/detail/PR-10357/2/pipeline/113][DataDownloadFormView]]
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- [X] [[https://jenkins.brandwatch.net/blue/organizations/jenkins/BrandwatchLtd%2Ffrontend/detail/PR-10357/1/pipeline][InsightsCentral_wrapDashboardView]]
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- [X] [[https://jenkins.brandwatch.net/blue/organizations/jenkins/BrandwatchLtd%2Ffrontend/detail/PR-10357/3/pipeline/100#step-126-log-20][GuiderView]]
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- [X] [[https://jenkins.brandwatch.net/blue/organizations/jenkins/BrandwatchLtd%2Ffrontend/detail/PR-10357/6/pipeline/96][InisightsCentral FilterContextMenuView]]
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- [X] QueryBuilderWriteView
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: Expected: false
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: Received: "The test \"QueryBuilderWriteView rendering auto fetch of preview
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: results on language change does not trigger fetching when query
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: is new or was not validated (validatedSettings are empty)\"
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: added a new child element to body, please remove it:
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: <div class=\"validation-tip notification-error rounded smallpadding-vertical singlepadding-horizontal\"></div>"
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Solved most of them by stubbing jquery.showValidation in various places.
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-
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** Axiom WG
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* arbeitszeugnis
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* sonstige services
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* Private
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** [[org:ausbau/][Ausbau]]
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** Tonuino
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*** SD Karte 1
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1) Benjamin Blümchen 3
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2) Jim Knopf
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3) Liselotte und der Verschwundene Apfelkucken
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4) Petterson & Findus Hahn im Korb
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5) Leo Lausemaus will nich Essen/Warheit/Laune/Schalfen
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6) Der Grüfello
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7) Benjamin Blümchen 1
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8) Benjamin Blümchen 2
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|
||||
Reference in New Issue
Block a user