influxdb vs prometheus

I posted several posts on newsmth and gameres and asked about the Western famous books that are suitable for online games. I received a lot of answers. I am very helpful. I want to share it with you. Nordic mythology Greek mythologyChristian BibleJewish Bible Ancient BibleSumel Bible Da Vinci code... Saint Seiya, huoying, and one piece Medieval knight literature. For example, the legend of King Arthur. The three major Western tragedies, the most famous of which is ossolios's "The bound

about one thing, the easier it will be to make mistakes. (Adventures of good soldier Shuai ke) 91. Sorrow makes the personality more acute. (John crisdorf) 92. I often fail before women because I love them too much. ("Regret") 93. It is easy to persuade people who suffer beyond the pain. (The Bound Prometheus) 94. blindness can increase your courage, because you cannot see danger. 95. Being wide and large, is the only light that can illuminate the gr

The previous days with Python based on Prometheus developed a vsphere volume volume monitoring exporter, so with the Vsphere API (Pyvmomi) interface in the dealings, During the development process you will find that the Pyvmomi interface returns many types of objects, and you may need to iterate through multiple layers when you take one of the objects. That prompted me to write this article, documenting some of the experiences in using Python to move

mike0405/flaskThe push refers to repository [docker.io/mike0405/flask]7ac180ee56ec: Pushed 7ac2d207ee3f: Pushed c0cb3173d025: Pushed d2e086cfb9ca: Pushed 7861eaf542d8: Pushed 6948ed269722: Pushed 4622c8e1bdc0: Pushed b33859b66bfd: Pushed 14fa4a9494bf: Pushed 0c3819952093: Pushed 05b0f7f2a817: Pushed latest: digest: sha256:bf314bbc4e3fa98f80cb964e750d58e1f47b361525fe780b1a3803eb5099e2ef size: 2619(5) from the in, you can see that step 4 of the upload has been successful.(6) Mirror search using t

run in master, because Master has a stain) filebeat-ds-chxl6 1/1 Running 1 8m 10.244.2.37 node2 filebeat-ds-rmnxq 1/1 Running 0 8m 10.244.1.35 node1# kubectl logs myapp-ds-r47zj# kubectl expose deployment Redis--port=6379# Kubectl describe DS filebeat# Support Online rolling updates Kubectl Set Image DaemoNsets filebeat-ds filebeat=ikubernetes/filebeat:5.6.6-alpine# Kubectl explain Pod.spec hostnetwork ( Daemonset can directly share the host's network name, directly to provide services to

, stored in the database for the query, the other is to store the original data, in the user query according to filter conditions to screen the corresponding records for field calculation. It is obvious that the first scheme is undesirable in reality because the arrangement of filtration conditions is almost impossible, and in the second scenario, where the raw data is stored. If you're still using a relational database, then how do you want to index the table? This series of questions leads us

vitality of data products.Computing layer: Data generated in the data source layer, Datax, DBSync and Timetunnel are transmitted to the Hadoop cluster "ladder" by Taobao data transmission component, which is the main component of the computing layer. On the "ladder", there are about 40,000 jobs per day for 1.5PB of raw data according to the product requirements of different mapreduce calculation. Some of the data required for high effectiveness of the "ladder" to calculate the efficiency is rel

TiDB8 .69 CentOS7.4 X64 4c+8g+60g Central control Machine Ansible+monitor Use TIDB to log in to the console for planning configuration $ cd/home/tidb/tidb-ansible $ VI inventory.ini Configure the server IP under each configuration item # TIDB Cluster part [Tidb_servers] ***.***.**66 ***.***.**67 ***.***.**68 [tikv_servers] ***.***.**62 ***.***.**63 . ***.**64 [pd_servers] ***.***.**66 ***.***.**67 ***.***.**68 [Spark_master] . ***.**62 [spa

First, Pmm-server1. Installing Dockeryum install -y docker-io2. Pull Pmm-server Imagedocker pull percona/pmm-server:latest3. Create a persistence containerdocker create -v /opt/prometheus/data -v /opt/consul-data -v /var/lib/mysql -v /var/lib/grafana --name pmm-data percona/pmm-server:latest /bin/true4. Start Pmm-serverdocker run -d -p 8888:80 \ #将docker的80端口映射到宿主机的8888端口 --volumes-from pmm-data --name pmm-server --res

area), showing the memory size in gigabytes:The small letter M can control whether memory information is displayed.Task DetailsMemory information The following is a blank line (in fact, the area that interacts with the user), and the following empty line is the task detail area:By default, this will show 12 columns of data, all of which we are more concerned about to carry out the relevant information, below we are one of the introduction. The PID represents the process ID. User represents a

multithreading. Python is still struggling in this area. If development speed is more important than execution speed, Python has an advantage. But Swift has the "Playground" mode of the Xcode IDE. The advantage of Python: On the one hand, Swift is a new programming language compared to Python, and Python has a bit of all the mature languages--lots of user base, lots of libraries, and mature multiplatform support. Swift is not even able to support Windows now (if not the third party libraries),

information (memory, CPU, network, JVM, and other information). In order to do this project, I also went to find a lot of similar articles on the Internet to refer to commonly used monitoring indicators and how they do monitoring. My mission was mainly to collect information, and then save to the company's major projects in the Influxdb, and finally show up with Grafana, behind my group's ops big guy showed me the monitoring market, the interface is

AWS, GCE, and OpenStack platforms. 5. Flynn Flynn is an open source PAAs platform written in the go language that can be automatically built to deploy any application to the Docker container cluster running. The Flynn project, supported by Y-Combinator, is still under development and is now known as the next generation of open source PAAs platforms. 6. Lime Relative to the above several go languages in the cloud and server side, lime is more special. Lime is a desktop editor program written

), and periodically sending these states to permanent storage, analyzers, and early warning systems. This type of monitoring tends to generate a lot of data, so it can affect performance and therefore needs to be carefully designed. For microservices monitoring tools, the storage engine can choose Graphitedb or influxdb, and the visualizer can choose Kibana or Grafana.Metrics for micro-service monitoring include: Maximum time required for req

What is the official explanation for Grafana's:Grafana is an open source program for visualizing large measurement data, providing a powerful and elegant way to create, share, and explore data. The data from your different metric data sources is displayed in dashboard.Grafana is most commonly used for Internet infrastructure and application analysis, but it also has opportunities in other areas such as industrial sensors, home automation, Process control, and so on.The Grafana has a hot-swappabl

Grafana Visualization of large measurement data tools############################################################# $Name: grafana可视化大型测量数据工具# $Author: zhangshoufu# $organization: http://blog.51cto.com/13447608# $Create Date: 2018-10-14############################################################What is Grafana?1) Grafana is an open source program for visualizing large measurement data, providing a powerful and elegant way to create, share, and explore data. The data from your diffe

--> Add influxdb data Source-- > Edit graph, define alarm rules--Test alarm message verificationIi. Deploy Grafana containers and configure mail alerts1. Run Create a Grafana container+- e influxdb_host=localhost-e influxdb_port=8086 -E influxdb_name=cadvisor-e Influxdb_user=root-e influxdb_pass=root--link influxsrv:influxsrv--name grafana-alerting grafana/ GRAFANAF9495C492B9E4C735F0002D47FC4AF668691F83E60B70D7B09DEFBFA2C806F6D2. Modify the script th

biggest feeling is that I am still playing a single game, many of the first body has evolved to the cloud. Suddenly the brain hole big open, especially listened to the group of friends to share the PM2.5, back after a half-day run up, although eventually feel no use, but the PM2 used up, It also began to focus on program operation, especially the use of memory and CPU. Because PM2 can only show real-time usage, and I want to know the health of the program every day, what to do? Write a collecti

Cache system: memcached (Group cache), Redis, MongoDB, Couchbase (CouchDB, Membase, Couchone)HTTP cache: Varnish, nginx, traficserver, squidLoad balancing: LVs, F5, NginxAgent: NginxCluster operating system (running on a standalone system): MesosCluster Management: KubernetesWeb server: Nginx, LIGHTHTTPD, Apache, TengineWSGI implementation: UWSGI, GunicornWeb framework (WSGI Server): web.py, Bottle, Django, Tornado, Beego (Golang), Martini (Golang), Revel (Golang)Web performance test: AB, SiegeC

history and then optimize them. On the other hand, we also made a real-time monitoring system to monitor processing conditions such as inflow, outflow data speed and so on. By monitoring the system alarm, it is convenient to operation the spark streaming real-time processing program. This small monitoring system mainly uses the Influxdb+grafana and so on realizes.4, our test network often appear can not find third-party jar case, if is with CDH class