Top 5 DevOps tools for 2019
There are many tools that we use in DevOps for day to day operation. Below are the top five latest tools that are extensively used in current DevOps space.
Terraform
What is Terraform?
Terraform enables you to provision infrastructure as a code. Using Terraform, you will be able to manage i.e provisioning, change and decommissioning your infrastructure in a efficient way and with minimum risk. Most useful commands for Terraform are:- terraform init
- terraform plan
- terraform apply
- terraform destroy
Why do you consider Terraform as a DevOps tool?
- You can provision all most everything using Terraform. It includes major player in cloud like AWS, Azure, Google Cloud, VmWare etc.
- It is very easy to manage as it supports a very lucid language developed by HashiCorp.
- You can manage state file (we will see in other post about the state file - what is it? How this can help etc.)
- Installation of Terraform is hassle free.
- It can be integrated with any repository for managing your infrastructural code.
Kubernetes & Helm
What is Kubernetes? What is Helm?
Kubernetes is an orchestration tool for containerized applications like docker. The main components of Kubernetes are:- Master: Responsible to run API for entire cluster.
- Nodes: Physical or virtual machine within the cluster.
- Pods: It is the basic building blocks that can run a single or a set of containers
- Replication controller: It ensures the requested number of pods are running at all times.
- Services: It is basically a dynamic load balancer for a given number of pods.
- Cronjobs: It is the scheduler for the repetitive tasks.
There are many useful commands in Kubernetes. Few of them are mentioned below:
- kubectl get namespace
- kubectl get nodes
- kubectl -n namespace get pods
- kubectl -n namespace logs <pod_name>
- kubectl get deploy
- kubectl describe deploy
- kubectl get svc
In a separate article, we will discuss more on Kubernetes - how to install and use it? Please stay tuned. We request you to subscribe our blog so that you will get notified soon we post the new article.
Helm is the application package manager that runs on top of Kubernetes. It allows to describe the application structure through convenient helm-charts and by managing it with simple commands.
- helm init
- helm create
- helm completion
- helm delete
- helm dependency
- helm fetch
- helm get
- helm history
- helm home
- helm inspect
- helm install
- helm lint
- helm list
- helm package
- helm plugin
- helm repo
- helm reset
- helm rollback
- helm search
- helm serve
- helm status
- helm template
- helm test
- helm upgrade
- helm verify
- helm version
The above are few useful commands of helm.
How Kubernetes and Helm contribute in recent trend of DevOps?
In this current world where everything is very competitive, uptime and response time of a website matter a lot. Kubernetes is the tool that will help you to achieve that in an efficient way.Below are the main advantage of considering Kubernetes (k8s) in DevOps space:
- It reduces resource cost.
- It is very easy to use and portable.
- It is highly scale-able.
- It is a mature product with proven underlying architecture.
- It is rich in feature.
- Last but not the least, it is opensource.
Helm is the most effective tool to manage Kubernetes resources. That's the main advantage of using Helm in DevOps. We will discuss Helm more in a separate post along with example and case studies. We believe that article will guide you how to use Helm on your infrastructure effectively.
Docker
What is docker?
Docker is a set of coupled software-as-a-service and platform-as-a-service products that use operating-system-level virtualization to develop and deliver software in packages called containers. The software that hosts the containers is called Docker Engine.Some useful commands in docker are:
- docker run
- docker start
- docker stop
- docker build
- docker pull
- docker push
- docker export
- docker exec
- docker search
- docker attach
- docker commit
What are the benefits of Docker and why do you consider this tool in DevOps market?
In short, we can consider the below point for choosing docker.- It is worthy to use due to ROI & it stimulates cost savings
- The standardization & productivity are two great features for docker.
- It is compatible with various OS and it is easy to maintain.
- It is very easy to use and can be configured quickly.
- It isolates the running applications.
- It provides better resilience and minimize the downtime.
- It is secure if configured correctly
Git
What is git?How did it contribute in DevOps?
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency. Git is easy to learn and has a tiny footprint with lightning fast performance.Some of the advantages of git are as follows:
- In terms of version control, it provides it's best performance. All features like branching, committing, merging are well optimized compared to other system.
- It has a awesome branching capacity than other version control system. You can create multiple branches without piling them up. It's role based access features makes it more unique.
- You can format and modify your initial commit at "Index" stage before actually commit.
- It is distributed in nature.
- Last but not the least it is Opensource.
Some of the useful git commands are:
- git pull
- git push
- git rebase
- git diff
- git log
- git config
- git revert
Ansible
What are the benefits of Ansible? How can you facilitate DevOps with Ansible?
Ansible is an open-source software for provisioning, configuration management, and application-deployment. It runs on many Unix-like systems and can configure both Unix-like systems as well as Microsoft Windows.
The main characteristics includes:
- Agent-less
- Free to use
- Reduce time of implementation.
- Powerful
- Easy to learn and implement
Top 5 programming language for DevOps in 2019
Python 3.0 +
Python is one of the primary technologies used by teams practicing DevOps. Its flexibility and accessibility make Python a great fit for this job, enabling the whole team to build web applications, data visualizations, and to improve their workflow with custom utilities.
Node.js
Node.js is a very popular technology and a perfect candidate to be plugged into a continuous deployment pipeline using Jenkins.
Powershell
PowerShell is a scripting language that consists of interactive command line. It is very versatile.
YAML
It is a data serialization language that matches user’s expectations about data. It is designed to be human friendly and works perfectly with other programming languages. It is useful to manage data and includes Unicode printable characters.
JSON
JSON is short for JavaScript Object Notation. It is a way to store information in an organized, easy-to-access manner. In a nutshell, it gives us a human-readable collection of data that we can access in a really logical manner.
Top 5 monitoring tools for DevOps in 2019
Sensu-Uchiwa
One of the modern and efficient monitoring tool for incident detection. It is flexible and easy to customize.
Grafana
Grafana is the leading open source project for visualizing metrics. Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored.
Prometheus
Prometheus is an open source monitoring and alerting toolkit for containers and micro-services. Prometheus provides a key component for a modern DevOps workflow: keeping watch over cloud-native applications and infrastructure, including another popular project - Kubernetes.
New Relic
New Relic is a web application performance service designed to work in a real time with your live web app. New Relic has an agent which is small piece of code that sits inside the web application and watches what the web page code is building while it’s building web pages. The agent measures how long the code takes to build the web page and reports it back to the user. It informs the user the time taken for a page to load and specifies if any factors are delaying the process. It displays the load time for users all across the globe accessing the web application and it follows it all the way down, right to the code. So the user will be able to determine if the longer load time is caused by something in your server, code, network, or in the browser etc.
Kibana
Kibana is an open source browser based visualization tool that mainly used to analyze large volume of logs in the form of line graph, bar graph, pie charts, heat maps, region maps, coordinate maps, gauge, goals etc. The visualization makes it easy to predict or to see the changes in trends of errors or other significant events of the input source.
Kibana works in sync with Elasticsearch and Logstash which together forms the so called ELK stack.
Takeout from this post:
- You now know the important DevOps tools that you should consider.
- You now know the benefits of each components.
- You are now familiar with the basic commands at least for the DevOps tools.
Future scope:
In our future posts, we will choose one topic at a time and dive in deep to learn those tools or techniques.
For those readers who have extensive experience in IT operations may share their views for the above tools. Additionally, if you want to highlight any other tool, please feel free to mention in the comment section. You can reach me via Contact us page.
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