Prometheus is an open-source system monitoring and alerting toolkit originally built at SoundCloud. Many companies and organizations have adopted Prometheus and have a very active developer and user community in the project. It is now a standalone open-source project and is maintained independently of any company.
Features of Prometheus:
A multi-dimensional data model with time series data identified by metric name and key/value pairs.
PromQL, a flexible query language to leverage this dimensionality.
No reliance on distributed storage; single server nodes are autonomous.
Time series collection happens via a pull model over HTTP.
What is Grafana?
Grafana is an open-source solution for running data analytics, understanding large amounts of data and monitoring our apps with the help of cool customizable dashboards.
What are the benefits of Grafana?
Customizable dashboards are feature-rich and can be configured to display data from a wide range of databases using visualization tools such as heatmaps, histograms, and charts.
The platform is flexible and easy to use.
Native support of a broad range of databases.
Dashboard templating – This is a Grafana feature that is really useful. It allows users to create a dashboard setup to suit their every need.
Provisioning – It can be simple enough to set up a single dashboard with a few clicks, dragging and dropping, but some users need even more ingenuity this way.
Annotations – This Grafana feature lets you mark graphs, which is especially helpful when you need to correlate data in case something misbehaves.
Custom plugins – You can extend the functionality of Grafana with plugins that provide additional tools, visualizations, and more.
Teams and permissions – Where an organization has an instance of Grafana and multiple teams, they usually prefer to have the option of implementing some dashboard isolation.
Pre-requisites to learn Prometheus and Grafana:
Basic experience with Linux/Unix system administration.
Familiarity with common shell commands, such as ls, cd, curl, etc.
Some knowledge and/or development experience in Go and Python.
Some experience working with Kubernetes.
If you are planning to learn Prometheus and Grafana, go with DevOpsSchool institute. Will provide you online and classroom training and certification course Program by an expert. To get in-depth knowledge of Prometheus and Grafana along with its various applications, check out our interactive, live-online training.
Here you can see the Agenda of Prometheus and Grafana Course:
This course covers the basics of Prometheus and Grafana and their main features. You will develop a critical understanding of why Prometheus and Grafana are useful and how they can be combined with other web development frameworks.
You will learn about the basics of Prometheus and Grafana and their advantages. Then, you’ll cover more advanced topics like integrating Prometheus and Grafana with other frameworks.
Hopefully, I think this information is helpful for you.
However, if you want to find out more details, be sure to check out our Prometheus and Grafana course to learn more about this technology.
Hey folks, here we are with the topic of Python programming and its importance. Here we will discuss about python and its importance. Python is associate understood, object-oriented, high-level artificial language with dynamic linguistics. It has constitutional information structures, combined with dynamic typewriting and dynamic binding, creating it terribly engaging for fast application development, scripting, or as a glue language to attach existing elements along.
What is Python?
Python is integrated understood, object-oriented, high-level artificial language with dynamic linguistics. Its high-level inbuilt information structures, combined with dynamic writing and dynamic binding, create it terribly engaging for speedy Application Development, likewise as to be used as a scripting or glue language to attach existing elements along. Python’s easy, simple to be told syntax emphasizes readability and so reduces the value of program maintenance. Python supports modules and packages, which inspires program modularity and code apply. The Python interpreter and also the in depth normal library square measure out there in supply or binary type for gratis for all major platforms, and may be freely distributed.
Often, programmers fall loving with Python attributable to the redoubled productivity it provides. Since there’s no compilation step, the edit-test-debug cycle is implausibly quick. Debugging Python programs is easy a bug or unhealthy input can ne’er cause a segmentation fault. Instead, once the interpreter discovers miscalculation, it raises Associate in attention exception. Once the program does not catch the exception, the interpreter prints a stack trace. A supply level computer programme permits examination of native and world variables, analysis of impulsive expressions, setting breakpoints, stepping through the code a line at a time, and so on. The computer programme is written in Python itself, testifying to Python’s self-examining power. On the opposite hand, typically the fastest thanks to correct a program is to feature a couple of print statements to the source the quick edit-test-debug cycle makes this straightforward approach terribly effective.
How python works?
The Python, serves alternative programing language, which is fully arithmetic. This means that what you’ll do in Python, you can do the other programing language, and contrariwise. They’re all equally communicatory.
That said, Python will appear to be the language of selection in an exceedingly sort of domains (for example, machine learning) due to glorious library support, ability to quickly example, so forth. Personally, I notice Python partaking as a result of its therefore capable, however really easy to know.
It will have its “drawbacks” (depends on your perspective): dynamically written, taken, and so forth.
The Python converts everything in its interpreter to computer memory unit as C computer memory unit compiled code to mimic a compiled .dll file and writes it once the interpreter debugs it directly into a DLL file. And Pythons main.c file sets 2 loops into python main () to incorporate it and execute it in an exceedingly nested second loop. One loop is that the main loop and also the second is named in from the python. Which has the PyObject.dll with the pyobject second loop methodology.
What are the uses of Python?
Clearly, Python may be an in style and in-demand talent to be told. However what’s python programming used for? We’ve already shortly touched on a number of the areas it are often applied to, and we’ve dilated on these and a lot of Python examples below. Python are often used for:
AI and machine learning
Because Python is such a stable, flexible, and straightforward programing language, it’s good for numerous machine learning (ML) and AI (AI) comes. In fact, Python is among the favourite languages among knowledge scientists, and there square measure several Python machine learning and AI libraries and packages out there.
Much like AI and machine learning, knowledge analytics is another chop-chop developing field that utilises Python programming. At a time once we’re making a lot of knowledge than ever before, there’s a requirement for people who will collect, manipulate and organise the knowledge.
Data mental image
Data mental image is another in style and developing space of interest. Again, it plays into several of the strengths of Python. Also as its flexibility and also the truth its ASCII text file, Python provides a spread of graphing libraries with all types of options.
You can program all types of applications exploitation Python. The general language are often accustomed scan and build file directories, produce GUIs and Apis, and more. Whether or not its block chain applications, audio and video apps, or machine learning applications, you’ll be able to build all with Python.
Python may be a nice selection for net development. This can be mostly because of the actual fact that there square measure several Python net development frameworks to decide on from, like Django, Pyramid, and Flask. These frameworks are accustomed produce sites and services like Spotify, Reddit and Mozilla.
What are the importance of python?
The Python is a general purpose and high level artificial language. You’ll use Python for developing desktop GUI applications, net sites and web applications. Also, Python, as a high level artificial language, permits you to target core practicality of the applying by taking care of common programming tasks. The straightforward syntax rules of the artificial language any makes it easier for you to stay the code base decipherable and application rectifiable. There also are variety of reasons why you must like Python to alternative programming languages.
Python is employed in machine learning & computer science, fields at the stylish of technical school.
Python programming is flexible in terms of platform and purpose
What are the benefits of python?
Would you prefer to create a robust future and take your career to consecutive level? Learn to program Python, here we have a tendency to area unit talking regarding the programing language. Allow us to scan the advantages of learning python and recognize the importance of python. You’ll perceive this programing language quickly, and you’ll bring home the bacon an incredible career within the information science development business once you utilize these skills. Moreover, with new apps for machine learning that emerge daily, the demand for Python programmers can grow even higher. Here are some of the benefits of python programming:
Easy to browse, Learn and Write. Python may be a high-level artificial language that has English-like syntax.
Free and ASCII text file.
Vast Libraries Support.
So, this is the end of this article, hope you liked this article and you would be clear with your doubts. Python is associate understood, object-oriented, high-level artificial language with dynamic linguistics. It has constitutional information structures, combined with dynamic typewriting and dynamic binding, creating it terribly engaging for fast application development, scripting, or as a glue language to attach existing elements along.
Blockchain development is one of the fastest growing areas. Companies are looking for blockchain developers to implement new ones, upgrade their existing systems, and move forward in the industry. Technology is always evolving, and if you want to make a career for the future, is the way to go Blockchain.
Blockchain developer skills are a combination of hard skills and soft skills from an abstract point of view. They can handle the entire life cycle of a blockchain application. This means that you will be responsible for the execution of the application as well as research.
Types of Blockchain Developers:
There are two types of Blockchain Developer.
Blockchain software developer
Core blockchain developer
They are both involved in blockchain development, but they have different responsibilities.
Blockchain Software Developer
Blokchain software developers to create applications based on Blokchain architectures and protocols. Their apps also run on the blockchain. You can compare them to web developers, who use the products of a web architect (protocol and design) to develop web applications.
Blockchain software developers create dapps or decentralized applications. They are responsible for the back-end development as well as front-end of Daps. They also monitor the stack running the dapps.
Core Blockchain Developer
These developers focus on the architecture development of blockchain systems. They design their own consensus protocol and make most of the important decisions related to the blockchain. They monitor the network and design the architecture of the same. Core blockchain developers are also responsible for the security of their blockchain network.
Role and Responsibilities of Blockchain Developer:
Research, design, develop, and test blockchain technologies.
Brainstorm and help evaluate applications for new tools and technologies as they continually evolve.
Maintain and extend current client- and server-side applications responsible for integration and business logic.
Collaborating with managers to determine blockchain technology needs and envisaged functionalities.
Maintaining client and server-side applications.
Optimizing and securing blockchain applications by integrating new tools and technologies.
Taking into account the current blockchain technologies and cryptography methods.
Blockchain Developer Skills:
Blockchain developers have many responsibilities. To handle those responsibilities well, they must possess certain skills as well.
Cryptography is the study of protocols that prevent unwanted parties from accessing your data. There are several essential concepts in cryptography that you should be familiar with as you will need them during blockchain development.
To become a blockchain developer you need to have extensive knowledge of data structures. This is because blockchain developers regularly work with different data structures as they need to build and implement networks.
To become a blockchain developer, you must be familiar with blockchain architecture. You should know what a ledger means in a blockchain, what is consensus, and how smart contracts work.
As a blockchain developer, you will be developing web apps in most cases. Learning web development will you familiar with all its aspects, and you can create robust web apps that use Blokchain technology using this knowledge.
Java is popular among blockchain developers due to its many properties. It is easy to learn, but it is capable of developing many complex solutions.
C++ is a popular language among blockchain developers. You can do a lot of things related to blockchain with its help. The creators used C++ to create Bitcoin Core, so it’s definitely a must-see for any aspiring blockchain developer.
Python is one of the most popular programming languages on the planet. It is versatile, and its various libraries enable you to use it for both front-end as well as back-end development. So you should also familiar yourself with Python.
What Blockchain Developer do?
Blockchain software developers build applications based on the blockchain architecture and protocol. Blockchain software developers create dapps or decentralized applications. They are responsible for the front-end as well as back-end development of Dapps. They also monitor the stack running the dapps.
Blockchain developers enable secure digital transactions by the system to record and store Blockchain data which prevents changes or hack.
They design secure blockchain technologies.
Develop application features and interfaces.
Maintain client and server-side applications.
At present, Blockchain is considered one of the most revolutionary technologies as it transforms the way we interact, transact, and share information. Many technocrats and Blockchain Experts also believe that it is going to be the most disruptive technology in the next decade.
Today, this technology is not only used by tech giants, enterprises, federal agencies, and even startups have started adopting Blockchain. In fact, they are looking for Certified Blockchain Experts and are considering certified professionals over the non-credential peers.
Python is a programing language that combines features of C and Java.Python is an object-oriented, with high-level programming language with dynamic semantics. It’s a high-level built in data structures, combined with dynamic typing and dynamic binding, that makes it very attractive for fast Application Development, as well as for use as a scripting or glue language to connect existing components together.
Features of python
Easy to code
Free and open Source
GUI Programming supports
Large Standard Library
Dynamically Typed Language
Why Should You Learn Python?
Nowadays, Python has become one of the fastest growing and most popular programming languages in the world. Is it a good choice for your next project though? Python is versatile, it is easy to use and develop.
Moreover, it has a very vibrant community. You can easily find support from the best minds in the field. It is well-loved among both experienced programmers and beginners alike. There are many reasons to learn Python. Some of the reason to learn Python are:
Versatile, easy to use and fast to develop
Open source with a vibrant community
It has all the library required
Great for prototype (You can do more with less Coding)
Fast Development speed
Not native to mobile environment
Learning Python will keep you relevant
Python is similar to English
Python is widely used
How Long Does it Take to Learn Python?
If you’re looking to become a Python expert you have a much longer path ahead of you. In this article, we’ll just look at how long it takes to get a basic, well-rounded understanding of the Python language.
On average, for beginners it takes about 10-12 hours to learn the basics. This will get you enough to understand most lines of code in Python. If you plan on getting into data science or another specialized field, counting in months and years is more appropriate. If you spend your 5 to 6 months to this language, then this matter of time suited those who pan full time work in this.
To learn, plan is simple you should have to spend 2-3 hours a day on computer and practise it on daily basis. One day learn something and next day practise it with fully.
You may need to sacrifice the time you spend watching Netflix, but it’s well worth it for a stellar new career!
Career Opportunities in Python
Python is not only one of the most popular programming languages across the globe, but it is one that offers the most promising career opportunities as well. This demand for Python developers is increasing every year. There is a reason why this high-level programming language is so popular.
Python can be used in several areas, including testing, web development, app development and upgrades, and scriptwriting. If you acquire this skill, you will have more Python career opportunities than you can imagine.
Python Career Opportunities
So what are the options in front of you when you complete your Python learning? Here are a few job roles that you can fill:
This type of jobs you can except after acquiring the skills of python, you have always open position for Python Developer.
What does a Python developer do?
Resolve problems related to data analytics
Write codes that are reusable and efficient
Optimize data algorithms
This particular job option is mainly for those who like to working with huge amounts of data and finding meaning in that data. This also a popular job role in this domain. There are many companies that are looking for people who can work with the large sets of data that they have access to.
Product managers comes with an important role to play in this domain when it comes to helping businesses to understand the market and why building one product will be better than building another. Data is a very important part of the work they do. They study the market, research for new features related to a particular product or category, and advocate the building of certain products with facts.
Machine learning engineer
Nowadays requirement off this particular job role is by 330% in the last couple of years.
A machine learning engineer builds and trains machines, programs, and other computer-based systems to apply their learned knowledge for making predictions.
Why Python skill is essential for every Software Engineer?
Python is a very popular open-source software development language that offers enhanced process control capabilities. It is able to develop complex multi-protocol network applications
The career opportunities for skilled professionals are increasing significantly with huge scope for career growth.
The average salary of a Certified Python Developer is US$116,379 per year.
There are more Job opportunities for Python professionals in top MNCs when compared to other technologies.
IT Operations, IT Monitoring, IT Support, & Data Centre teams.
Professionals who aim to make a career in big data with Python, Professionals having experience of Programming, Software Testing Professionals, Software developers.
Python Job and Salary
This is the vast and most desire welcome opportunity provide to a Python skilled candidates.
If you are able to strike a balance, you will not have to think too much about your salary after that. You will have the opportunity to work with the world’s most popular names, such as Amazon, Accenture, Cognizant, Tata Consultancy Services Limited, and others. Your career will continue to grow as you gain more experience.
On an averagea senior software developer earn as much as Rs 2,000,000 per annum. Other hand Web developer with Python skills can also earn in the range of Rs 8, 00,000 per annum. Other related job roles include lead software engineer (up to Rs 2,000,000 per annum), data scientist (Rs 7,00,000 per annum), machine learning engineer (Rs 6,70,000 per annum), data analyst (4,17,000 per annum), and more.
The popularity of python increased among developers by the fact that Python is used by some of the biggest names in the world – Facebook, Netflix, Google, and Spotify, amongst others. This points towards one thing – As a professional skilled in python, you will have your chance of working with one of your dream companies.
To make you this clear we shared you some that that According to Naukri.com, there were more than 75,000 open jobs for Python developers in India at the end of 2021. Similarly, the open jobs for Python web developers were around 7000 around the same time.
In this Article, we all discussed on point of a career in python. We provided you the enough information about the salaries what you can expect to earn in different job roles with Python skills We also discussed the options that you can choose as a skilled Python professional depending on your interests.
If you are curious to learn about Python, and make a good career with this skill then I would suggest you please check out DevOpsSchool.com more information.
rajeshkumar created the topic: Perforce Python Script Collection.
Implement a script that will do following:
1. Read config file. This file will contain following settings:
a. For mail delivery (SMTP)
b. For access to perforce server
2. Get from perforce a list of changes made since last script run time and get all updated files
3. Invoke script that will ‘build’ the changes – it will be located in the working folder of the
script(build.bat/build.sh). Script itself should come from perforce as well during step 2.
4. If running of build script is successful, add/update contents of folder named ‘bin’ in the perforce
repository (it is expected that build script will put there a product of its work)
5. In case of error of invocation, send out an email with the list of changes retrieved in p.2 and all outputs of
build script (both stdout/stderr), in which case contents of ‘bin’ folder should not be updated to perforce
master.py – This file is the main file which should be excuted to get the all desired output as per the task
build.bat – This is a Build file which will be executing during compilation phase in master.py. config.ini: Following key should be modified as the environment specification
Scenario to create fail Build:
Remove comment line from “REM mkdir raj” in build.bat
How to use?
Change the config.ini file appropriately and fire master.py script. If you find any issues, please follow the log error message accordingly.
rajeshkumar created the topic: How do I convert a python program to a windows executable from Linux?
I use Linux and Windows with some friends a few programs I like python with pygame module math, and how the built GTK will try. (It seems that I can use Windows that I’m not is a copy of.)
email@example.com created the topic: Any possible Software/plugin for SCM workflow?
Hey Team, Thanks for lot of information on the site. wonderful work.
Any idea on SCM workflow software/framework ? which would help me to complete the SDLC lifecycle.
For E.g: When ever developers are done with their changes/check-ins, they would request CM team to build (via Email), And when CM builds and deploy , they will email to Testing Team, finally when its been tested they will let CM/RM team inform about the bugs, etc. finally product will be released.
All this was happening manually(via emails). If we have a workflow software, so that we can have everything in process oriented and SCM would be very easy.
Any Suggestion are welcome.
If know of any plug-ins , we can extend our programs to make it work to our systems.
Thanks in Advance!
rajeshkumar replied the topic: Re: Any possible Software/plugin for SCM workflow?
I would suggest following in Commercial | Opensource:-
SCM Workflow consisit of following..
SCM Tools |Scripting |Build / WorkFlow Mgmt Tools |
| Release / Dep Tools | Security | Testing Tools |
Test Coverage | Source-code Analysis | Issue Tracking Tools | IDEs Integration |Virtualization |
Please find list of tools and find you combination based in your project requirement and budget
Build / WorkFlow Mgmt Tools
Team Foundation Server
MKS Source Integrity
Team Foundation Server
Release / Dep Tools
Rational Team Concert
firstname.lastname@example.org replied the topic: Re: Any possible Software/plugin for SCM workflow?
Thanks for the response. But this i snot actually i am looking for.. I have idea on the mentioned tools. But wanted to create one separate tool for our internal purpose. So i am just checking, if there are any SCM related plugins /frame works in market, So that i do not spend more time on the things that are available.
Anyways.. Thank you so much!
rajeshkumar replied the topic: Re: Any possible Software/plugin for SCM workflow?
May be i am getting confused from you questions. Framework which can help you to develop your internal tools????
You mean you would like to develop your own tools, Then you might want to identify the technology first using which you want your development work get started. There are plenty of framework in Java| C++ | Perl | Pythin| Php | Ruby on rails etc
Twitt me @ twitter.com/RajeshKumarIn
This is the time of DevOps in software industry and DevOps uses different different languages for deployment automation and for software development. This is the reason if you are a DevOps professional and want to be succeed in DevOps role than command on scripting languages is must. But, one can not be a master of all. Right? Therefore, In this article I am going to share a list of top 10 scripting languages which will be useful for your DevOps journey.
But before that let’s have a quick look on Scripting language.
Scripting languages are programming languages that communicate and integrate with other programming languages. In other words, scripting languages controlls interactive programs operations by giving it sequence of work to execute by one command at a time.
Now, let’s look on to the list of top 10 scripting languages
1. Microsoft PowerShell
Microsoft powershell or powershell is belongs to Microsoft and an open source cross platform scripting language. If you have application infrastructure with windows than powershell is must for you. This scripting language is designed for system admins.
Puppet is a configuration management tool and it has it’s own declarative language to describe system configuration. It runs on Linux, Unix-like and also on Windows. This one is available under Apache 2.7.0 and General Pubic license. Puppet uses a custom declarative language, it just needs to specify ‘what’ action needs to be performed on the resources.
Chef is basically known as configuration management which belongs to chef is also a scripting language which is designed by David Morgan. It makes programs look like cooking any food.
Bash is basically a command language which is available in open source and written by Brian Fox in the year 1989. It can read scripts and Bash is the most commonly used Unix shell. Bash supports Linux, Windows and Mac OS.
Ruby is amongst one of the best programming language but it is also a scripting language which is written by Yukihiro Matsumoto in the year 1995. Ruby supports cross platforms and it is available under GPL and BSD license. It supports multiple programming paradigms, including functional, object-oriented, and imperative.
Ansible is known as configuration management and application deployment tool but it is also amongst top scripting languages. This language is belongs to Ansible Inc. and written by their community members. It supports Linux, Unix-like and Windows operating system.
Perl is a scripting language which is used for advanced web applications development. Perl is written by Larry Wall and first released in the year 1987. Perl supports cross platforms. Perl is available under general public license.
Python is also amongst the top scripting languages which is used for high level of programming. It was first released in the year 1991 by Guido van Rossum. python is available under Python Software Foundation License. It’s supports Cross-platform.
9. Go language
Go scripting language belongs to the Internet giant Google. This scripting language is written by Robert Griesemer, Rob Pike and Ken Thompson and it was released in the year 2009. It supports Linux, macOS, FreeBSD, NetBSD, OpenBSD, Windows, Plan 9, DragonFly BSD and Solaris operating systems. It is available in open source.
Groovy can be used as a scripting language and it is also consider as a top scripting languages for DevOps professionals. It was designed by James Strachan and developed by Guillaume Laforge, Jochen Theodorou, Paul King and Cedric Champeau. It was first released in the year 2003 and available under Apache license. It supports Java platform.
Do you agree with this list? If not than feel free to respond in the comment box with your own take on the most essential scripting languages. One more thing, I would like to add here, if you need help to learn all these scripting languages and DevOps courses than scmGalaxy can help you in this. scmGalaxyis a community of DevOps professionals who are well experienced in this domain.