Introduction to Jenkins Open Source Automation Tool Written in Java with plug ins built for continuous integration purposes Allows Continuous Delivery Of Software Software Integrating with large number of testing and deployment technologies Accelerate the software development process through automation Plugins allow the integration of Various DevOps stages  Has 1000+ plugins to ease the work  Portable to all the major platforms Only need to commit changes to the source code and Jenkins will automate the rest Helps to know the

jenkins is an open-source automation tool it is an continues integration tool. It lets you execute a series of actions to achieve the continuous integration process. it can perform automatically the build and test and gives immediate feedback  making it easier for users to obtain a fresh build. jenkins can integrate every devops tools such as jira,git,sonarqube etc. it can also schedule and gives feedback. jenkins releases are, jenkins, enterprise jenkins, jenkinsx, and blueocean. jenkins is the community version and free.

“What is jenkins”??? Jenkins is an open-source automation tool written in Java with plugins built for Continuous Integration purposes. Jenkins is used to build and test your software projects continuously making it easier for developers to integrate changes to the project, and making it easier for users to obtain a fresh build. It also allows you to continuously deliver your software by integrating with a large number of testing and deployment technologies. With Jenkins, organizations can accelerate the software development

1.what is time series database? A) A time series database is a software system that is used for storing and serving time series through associated pairs of time and value. 2.How prometheus is good for time series metrix? A)prometheus fundamentally stores all data as time series streams of timestamped values belonging to the same metric and the same set of labeled dimensions. besides stored time series, prometheus may generate temporary derived time series as the result of queries. 3.what are

– What is Time Series database? Time series databases are simply measurements or events that are tracked, monitored, downsampled, and aggregated over time. This could be server metrics, application performance monitoring, network data, sensor data, events, clicks, trades in a market, and many other types of analytics data – How prometheus is good for time series metrix? Prometheus is a very good tool for processing and monitoring time series data. This versatile tool can be used with Graphana, a statistics visualization, and anomaly observation tool.

1.What is Time Series database?-sequence of datapoints collecte at regular intervals over a period of time-High write performance-Data compaction-Fast,easy range queries-fewer queries-writes to recent interval. How prometheus is good for time series metrix? open source monitoring solution-monitoring and alerting tool kit What are components of prometheus?-The Prometheus Server:It collects metrics in the form of time series data from nodes and stores them.The process of collecting metrics is referred to as scraping.-Client Libraries and Exporters: Prometheus stores data in a time

time series data base sequence of data points collected at regular intervals over a period of time how prometheus good for time series metrics Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions components of prometheus prometheus server client libraries push gateway exporters alert manager How does prometheus work by pushgateway:-The Pushgateway is an intermediary service which allows you to push metrics from jobs which cannot be scraped by

Prometheus: Prometheus is an open-source systems monitoring and alerting toolkit. Time Series Database Time series data is the sequence of data points collected at a regular intervals over a period of time (metrics). For eg:- device data, weather data, etc. The data require aggregation and analysis. How prometheus is good for time series metrix? Prometheus is a very good tool for processing and monitoring time series data. This versatile tool can be used with Graphana, a statistics visualization, and anomaly observation tool. This tool can collect

What is Time Series database? A time series database is a software system that is optimized for storing and serving time series through associated pairs of time and value. In some fields, time series may be called profiles, curves, traces or trends. Prometheus For Time Series Metrix Optimized for Time Series Data Built in service discovery Flexible Query Language Works in a Pull Model Uses HTTP and Plain text Stores Metrics in Memory and local disk Components of Prometheus: Prometheus server :which

What is Time Series database? Time series databases are simply measurements or events that are tracked, monitored, downsampled, and aggregated over time. This could be server metrics, application performance monitoring, network data, sensor data, events, clicks, trades in a market, and many other types of analytics data. How prometheus is good for time series metrix? Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides

What is Time Series database ? A time series database is a database optimized for time stamped or time series data. This could be server metrics, application performance monitoring, network data, sensor data, events, clicks, trades in a market, and many other types of analytics data. A time series database is built specifically for handling metrics and events or measurements that are time-stamped. How Prometheus is good for time series metrics ? Prometheus fundamentally stores all data as time series: streams of

Prometheus: Prometheus is an open-source systems monitoring and alerting toolkit. Time Series database: designed to store and retrieve data records that are part of a “time series,” Time series is a set of data points that are associated with timestamps which provide a critical context for each of the data points in how they are related to others. Prometheus is good for time series metrix: sophisticated local storage subsystem. For indexes, it uses Level DB for bulk data it has own custom storage layers, which organizes sample data in

What is Time Series database? A time series database is a software system that is optimized for storing and serving time series through associated pairs of time and value. In some fields, time series may be called profiles, curves, traces or trends. How prometheus is good for time series metrix? Prometheus is a very good tool for processing and monitoring time series data. This versatile tool can be used with Graphana, a statistics visualization, and anomaly observation tool. This tool can collect data from highly

What is Time Series database? How prometheus is good for time series metrix? What are components of prometheus? How prometheus works? Time Series Database Time series data is the sequence of data points collected at a regular intervals over a period of time (metrics). For eg:- device data, weather data, etc. The data require aggregation and analysis. Prometheus For Time Series Metrix Optimized for Time Series Data Built in service discovery Flexible Query Language Works in a Pull Model Uses

What is Time Series database? time series database stores data as pairs of time(s) and value(s). By storing data in this way, it makes it easy to analyze time series, or a sequence of points recorded in order over time. How prometheus is good for time series metrix? No extensive set up needed. Allows fast outage discovery. Outages can be very quickly discovered when the system fails to get requests from known monitoring sources. Provides a functional query language, PromQL,

Write a Ansible Playbook to create a group called “deploy” 2.Write a Ansible Playbook to create a user called “deploy-user” which is part of group called “deploy” and with /bin/bash shell. 3. Write a Ansible Playbook to install package named “httpd” in RHEL/centos. 4. Write a Ansible Playbook to start and enable the service named “httpd” 5. Write a Ansible Playbook to create a file called “index.html” in /var/www/html with some dummy html contents. 6. Write a Ansible Playbook to

Write a Ansible Playbook to create a group called “deploy” Write a Ansible Playbook to create a user called “deploy-user” which is part of group called “deploy” and with /bin/bash shell. Write a Ansible Playbook to install package named “httpd” in RHEL/centos. Write a Ansible Playbook to start and enable the service named “httpd” Write a Ansible Playbook to create a file called “index.html” in /var/www/html with some dummy html contents. Write a Ansible Playbook to reboot a self machine.

Write a Ansible Playbook to create a group called “deploy” : Write a Ansible Playbook to create a user called “deploy-user” which is part of group called “deploy” and with /bin/bash shell : Write a Ansible Playbook to install package named “httpd” in RHEL/centos : Write a Ansible Playbook to start and enable the service named “httpd” : Write a Ansible Playbook to create a file called “index.html” in /var/www/html with some dummy html contents : Write a Ansible Playbook

1.Write a Ansible Playbook to create a group called “deploy” .2.Write a Ansible Playbook to create a user called “deploy-user” which is part of group called “deploy” and with /bin/bash shell. 3.Write a Ansible Playbook to install package named “httpd” in RHEL/centos. 4. Write a Ansible Playbook to start and enable the service named “httpd” 5. Write a Ansible Playbook to create a file called “index.html” in /var/www/html with some dummy html contents. 9. Write a Ansible Playbook to reboot

write a ansible playbook to create a group called “deploy”. $ ansible to create a playbook name = deploy 2.write a ansible playbook to create a user called “deploy user” which is part of group called ” deploy” and with/bin/bash/shell. $ ansible to create user =”deploy user” group = “deploy” src=/bin/bash/shell 3.write a ansible playbook to install package named “httpd” in RHEL/centos. $ ansible install package named = “httpd” dest= RHEL/centos 4.write a ansible playbook to start and enable the