Prometheus – DevopsCurry

Periodic Table of DevOps Tools (Part-1)

Shiwani Sharma — Wed, 01 May 2024 09:12:22 +0000

Periodic Table of DevOps Tools

What is the DevOps Periodic Table?

It’s a framework where various DevOps tools are categorized and arranged in groups and categories based on their characteristics or roles within the DevOps methodology.

The main aim of the DevOps periodic table is to provide a visual representation that helps the DevOps teams understand the interconnected nature of DevOps practices.

In other words, it’s a grouping of DevOps tools arranged according to their abilities and costs in various categories. Some of the important and well-known DevOps tools include Jenkins, Docker, Git, Kubernetes, Puppet, Ansible, Gradle,Docker,Github etc to name a few.

The DevOps periodic table showcases the DevOps tools list across various categories ordered by their functionality and also the pricing model (Open Source, Free, Freemium, Paid, Enterprise).

Every single element in the Periodic table shows a general aspect of DevOps as like Automation, Collaboration,Continuous Integration, Monitoring, Security etc. These all elements of periodic table are merge and interact with each other to build an overall approach to DevOps (Development & IT Operational )

IMAGE CREDIT: https://www.edureka.co/blog/devops-periodic-table/

In the above image of the DevOps Periodic table, you can see that all the elements or DevOps tools are well arranged and categorized. Some of the tools here are very popular in the market, while others are less popular, but all tools have their own features that are beneficial for users.

It provides the visuals to the users that support the entire team as well the individuals to get to know the various components of DevOps and how these particle element relate to each other and this will also help to improve their practices and processes.

Classification of tools based on the DevOps Periodic table

The periodic table combines different DevOps tools from A to Z, categorizes them, and visualizes several tools. Let us try to understand the outline of different categories.

A

AIOps Tools

Loglizer
ScienceLogic
Ignio AIOps
IBM Turbonomic
Moogsoft

C

Continuous Integration (CI) Tools

These CI tools are crucial DevOps tools used for automation, testing, building, and integration. Selecting reliable integration techniques is essential to quickly identify mistakes. Some of the continuous integration tools include:

Circle CI
Jenkins
Teamcity
Bamboo
GitLab CI/CD
Travis CI

Continuous Delivery/Deployment (CD) Tools

These tools automate application deployment and delivery pipelines. These type of tools are used to automate and streamline the process of delivering software updates and change to production environment. Some of the important CD tools are:

Spinnaker
ArgoCD
Jenkins X
Harness
Drone

Configuration Management Tools

Configuration management tools play a vital role in the DevOps lifecycle, automating and managing configuration and infrastructure changes. These tools help users regulate all changes in a simple and comfortable manner. Some important configuration management tools include:

Ansible
Puppet
Chef
SaltStack
Terraform

Containerization & Orchestration

Containerization tools deploy, manage, and package applications using containers. Containerization and Orchestration tools have revolutionized the way teams build & manage the applications. They allow more flexibility, reliability & scalability just by reducing the problems arises with the traditional deployment methods. Some important containerization tools are:

Docker
Kubernetes
Rocket
Codefresh
Helm
Mesos
Rancher
GKE (Google Kubernetes Engine)
Docker Enterprise

Collaboration & Communication

These tools facilitate team collaboration, project management, and communication. They are also beneficial for individual users. Some collaboration and communication tools are:

Slack
Microsoft Teams
JIRA
Confluence

Cloud and Infrastructure Platform

These tools handle cloud resources and infrastructure. These tools permit the organization to manage, provision & scale their application and infrastructure efficiently & the consider tools like:

AWS (Amazon Web Services)
GCP (Google Cloud Platform)
Microsoft Azure

D

Deployment Tools

Capistrano
Juju
GoCD
Octopus Deploy
IBM UrbanCode Deploy
AWS CodeDeploy
DeployBot
Shippable

Database Automation Tools

DbVisualizer
pganalyze
Toad Edge
Kosli
Pachyderm
Liquibase

I

Infrastructure as Code (IAC)

These tools manage infrastructure using code. These tools in DevOps empower organization to manage infrastructure efficiently, increase the agility & automate provisioning of their operations while handing errors and improve the collaboration among development and operations teams. These IAC tools choice is often depends on the specific cloud provider or technology utilized by the organization. Some IAC tools include:

CloudFormation
Terraform
Pulumi
Ansible

L

Logging DevOps Tools

Papertrail
Scalyr
Fluentd
Sentry
Logstash
Loggly
Graylog

M

Monitoring Tools

Monitoring tools continuously track applications in the production phase, ensuring their performance and functionality. These tools are very important components for DevOps practices and provide the real time visibility into the performance, availability, & health of application and infrastructure. These tools helps the DevOps team to identify , performance and optimize system and guaranteed the experience of users. Some monitoring tools are:

Nagios
Datadog
New Relic
Grafana
Prometheus

O

Observability Tools

Datadog
Dynatrace
New Relic
Sentry
Signoz
Sumo Logic
Splunk

S

Source Code Management

The first stage of the DevOps lifecycle is source code, which provides the tools to generate and manage code. Here, tools are categorized for collaboration and performance control on source code. These categorized tools provide insights into which changes were made for improvement. Some of the important tools for source code management are as follows:

Github
Gitlab
Artfactory
Bitbucket
Compuware ISPW
Perforce Helixcore

Security and Compliance Tools

These tools ensure security and compliance throughout the DevOps lifecycle. These tool plays an important role in ensuring, privacy & regulatory compliance of systems, data and applications within an organization. Some of the tools include:

Twistlock
SonarQube
Anchore
Aqua Security

Conclusion

When someone starts learning DevOps tools and technologies, they get overwhelmed and also confused with the numerous tools that accomplished similar tasks, or nearly the same task without a clear opinion on the best toolchain and the workflow. Each one is Free to opt for and select his favourite tool from the bouquet and also market it as the best in the category.

The DevOps periodic table is a small attempt to lessen this chaos and confusion by grouping different Devops tools across various categories in an ordered alphabetic list , from A to Z.

To learn more about DevOps periodic table in detail, do connect with us and stay tuned for our upcoming blog.

The post Periodic Table of DevOps Tools (Part-1) appeared first on DevopsCurry.

Best popular Container Monitoring Tools to explore in 2024

Namrata Joshi — Sun, 21 Feb 2021 13:40:12 +0000

What is Container Monitoring? Popular Container Monitoring Tools

The use of container technology is at its peak. The benefits of containers for cloud-based microservices are infinite. Container Monitoring is the process of tracing the performance of applications that are built on a microservices architecture. Containers are complex and more challenging to keep an eye on compared to traditional applications running on virtual servers.

Monitoring the performance of containerized applications to ensure application continuity is crucial. Monitoring becomes more effective through analyzing metrics, obtainer from any sources like host and demons logs, and monitoring agents installed on each node.

Container monitoring tools track container performance, collects event data, and measures the effects of container-sharing resources. Now Monitoring practices can be either proactive, reactive or adaptive. While Proactive monitoring sets protocols to prevent container failure, in Reactive monitoring we alert users by raising events when the containers fail. Adaptive monitoring continually assesses container performance and impacts from new components.

Importance of Monitoring Docker Containers

Like any other technologies, Containers are subject to performance degradation. The health of containerized applications directly impacts the health and business efficiency of a business. Monitoring application performance ensures that both the containerized applications and the infrastructure are always at optimum levels.

Monitoring Docker Containers helps in:

Detect and solve issues at an early stage.
Proactively avoids the risks at the production level.
Implement changes safely as the whole environment is monitored.
Optimize resources allocation.

What Resources to monitor

Host based Metrics

Host CPU
Host Memory
Host Disk Space
Total Number of Running Containers

Container-based metrics

Container CPU – Throttled CPU Time
Container Memory Usage
Container Memory – Fail Counters
Container Swap
Container Disk I/O

You can also refer to our posts on Application Monitoring and Monitoring best practices:

DevOps Tools: What is APM and Best APM Tools in 2021 !

Best Monitoring and Alerting Practices to follow in 2021

Image Credits: https://logz.io/blog/docker-monitoring-dockercon-2016/

Popular Container Monitoring Tools for Docker in 2021

When it comes to monitoring any containerized app, you have to choose the monitoring tools that fit your specific requirements. Here we have included the top ten container monitoring tools for Docker. Take a look at each tool to see what they offer and what suits your needs best.

AppOptics Docker Monitoring with APM
AppOptics is a SaaS-based APM and infrastructure tool for hybrid and cloud-native IT environments. It offers a robust monitoring solution for Docker containers. AppOptics have a pre-configured docker monitoring dashboard. It visualizes per-container CPU, memory, and network metrics.
Some of the key features of AppOptics are auto-instrumented application service topology map, pinpoint the root cause of performance issues, performance monitoring, full-stack visibility, modern infrastructure monitoring, and AWS monitoring.
SolarWinds Server and Application Monitor
The most prominent feature of SolarWinds is its ability to detect issues directly from the container layer. This feature gives it an edge over other traditional server monitors.
SolarWinds offer tracking for key performance metrics like CPU, memory, and uptime of individual Docker containers via a simple dashboard. Other important features of SolarWinds are instant alert regarding depleted resources, the ability to detect issues directly from the container layer, and the ability to isolate individual containers and monitor them concerning their neighboring nodes.
Prometheus
Its an open-source Docker monitoring tool and is also one of the three solutions recommended by Docker. Prometheus offers a simple docker dashboard that visualizes the workloads of targeted Docker instances. It creates a separate volume to store recorded metrics.
Prometheus is available as an image easily installed on Docker containers. There are some advanced configurations for production environments. Hence, it is one of the easiest to configure for larger setups.
The Prometheus Query Language (PromQL) can be used to query metrics and statistics through the dashboard in a tabular or graphical form. One disadvantage of Prometheus is that it’s impossible to monitor containerized apps via the Docker target. Docker suggests other tools for this purpose.
Docker API
Docker API provides an API for interacting with the Docker daemon, also known as the Docker Engine API. it is the official HTTP Web Service API for interacting with Docker. This is used to connect any external Docker monitoring tool via the secure API endpoints to gather metrics and store or visualize them.
Docker API is ideal for organizations that have their applications for monitoring containers from multiple service providers.
ManageEngine Applications Manager
It is an application management solution that helps businesses to monitor their data centers, applications, databases, and systems. It is possible to monitor all the components in a single, integrated platform, which can scale upto 50,000 apps.ManageEngine specializes in tracking both container environments as well as the applications encapsulated within them. ManageEngine allows all containers within each host to reduce bottlenecks in performance and availability. Application Manager allows to set up pre-configured rules related to container status and performance metrics.
cAdvisor
cAdvisor or container advisor analyzes and exposes resource usage and performance data from running containers. cAdvisor is from Google and is open-source. It is a running daemon that collects, aggregates, and exports resource usage and performance data of targeted containers.cAdvisor focuses on resource isolation parameters, historical resource usage, and histograms of historical data. Builds of cAdvisor are available as images that you can install on Docker hosts. It offers a web UI as well as a REST API to cater to both users that are looking to monitor their Docker containers directly as well as integrate metrics to an external app via web service endpoints.
SolarWinds Librato
Librato is a SolarWinds company that offers a hosted monitoring platform that companies use to collect, visualize, and store large amounts of streaming data. The goal is to manage the health of their applications.
Librato brings all the benefits of SolarWinds with more customized features. It can manage a wide range of languages and frameworks through RPC calls, queues, and other resources.
Dynatrace
Dynatrace application monitoring provides all performance metrics in real-time and detects and diagnoses problems automatically. It gives an out-of-the-box solution for monitoring containerized apps without installing any image or modifying run commands.
Dynatrace enables extensive tracking and monitoring through log monitoring even when details like docker name, ID, host details are not available. It does not require extensive storage space just like many other monitoring tools.
Datadog
Datadog gives you the ability to create monitors the actively check metrics, integration availability, network endpoints, and more. Datadog collects data related to services, applications, and platforms via detailed log data. This data is automatically visualized to highlight unusual behavior.Datadog can monitor the data by the platform natively. Using this feature, it is possible to monitor both holistically and to drill down to container level. All data is available via an interactive dashboard that shows real-time data.
Sysdig
Sysdig is an open-source, cross-platform system monitoring and troubleshooting tool. It is powerful and flexible. One of the most significant advantages of Sysdig is that it provides monitoring for containers, cloud services, and Kubernetes.

It is extremely important to choose Docker monitoring tools that are robust and allow them to be deployed quickly across thousands of nodes. Drop a comment below if you have any suggestions regarding the best Docker Container Monitoring Tools.

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Adopting Open-source in 2021 for Devops success

Wed, 06 Jan 2021 08:04:16 +0000

How DevOps can benefit from the Open source

Around 2009, the term DevOps introduced an approach that enhances the collaboration between developers and operations groups. It came as a successor to the Agile method and ensured improvement to the Application Lifecycle Management process. You can consider DevOps as a strategy or principle that every company should implement within their delivery pipeline.

To implement DevOps, you should have the right tools and processes at your disposal to make it work efficiently. There are a variety of open-source DevOps tools that help in streamlining the development and deployment process. These open-source tools are built with enhanced collaboration that improves performance and allows you to handle different market needs.

Why do DevOps need Open-source?

Well, many companies across the globe have started adopting the DevOps approach for effective and faster delivery. However most companies still shy away from implementing open-source software within their organizations to enhance the DevOps approach. Also, companies restrain their developers from contributing to open source libraries, so they miss a huge opportunity for success.

We are sharing some key reasons why a company should focus on the Open-source adoption for Devops implementation.

Open-source is Free or low-cost

Open-source means it is available freely or at a lower cost than other closed-source systems.

Based on open standards

With open-source, you can find each tool, source code, and related troubleshooting documents easily. If you are still using traditional proprietary software, it will be difficult for your organization to evolve.

Open-source is self customizable

Open-source offers customizability where you can use tools and products that are way more efficient and light-weight than other available closed-source options. You can freely choose your framework and easily migrate and automate processes with open-source tools and frameworks.

The open-source community is expanding

The open-source community is now expanding, with millions of contributors and developers writing open code and development. Now companies are even supporting its exposure to their DevOps process. By joining open-source, you will become part of the most dynamic group that provides a better solution for every problem.

No Vendor monopoly or Vendor lock-in

Since open-source tools are free from any proprietorship or licensing from any vendor, there is definitely no pressure of monopoly or being vendor locked-in. Whenever you feel to opt out of the open-source tool, you can move out without any restrictions.

Abundance of Talent pool

Since open source software and tools are free and easily available, the number of people with an expertise on popular open source solution is more as compared to licensed tools( because fo the cost involved). So when looking for available expert talent pool in the market for your Devops toolchain, you have higher chances of success with open-source solutions.

How DevOps success aligns with Open-source

There is no doubt that opting for open-source as a part of your DevOps process is beneficial to your organization. But if you are still using highly-proprietary and old traditional IT solutions, you may not achieve the success you are working for. Open source has opened the gate for DevOps to work efficiently. Below are the reasons why DevOps success aligns with the Open-source system, tools, and practices.

DevOps groups should go for open-source because the tools and techniques available in the open-source community are either off the shelf or built at some other organization. This will eventually save you time and cost of developing the required tools at your end.
If you avail open-source, then you can choose any of the open-source frameworks to work on. You can easily migrate your project from one framework to another without any proprietary lock-in or vendor secrets. It allows your software delivery agile, which is essential in the DevOps process.
DevOps mainly focuses on the visibility of the project or application progress within the team members. If you add the open-source within the DevOps process, it ensures the visibility is maintained even to the code level of all the tools you use.
Suppose we get any problem during continuous delivery. In that case, there is no time that you contact proprietary vendors to resolve the issue as proprietary tools require expertise to look into the troubleshooting process. But if you go with open-source, you can resolve the issue by yourself as most of the problems are documented publicly for reference.
With closed systems, you cannot leverage various tools you are using by integrating them and making the system entirely automated. But with an open-source system, integration and automation are pretty efficient and straightforward.

Common Open-source DevOps tools

You can accelerate an existing system by using open-source tools within your DevOps. Below is the list of the open-source DevOps tools.

Ansible

This tool offers software-related services like application deployment, configuration, etc. It allows you to automate IT tasks. You can easily integrate it with other DevOps tools. You can find its free version on GitHub, where Red Hat offers three different paid versions of Ansible.

Watir

It is a web application based open-source testing tool. This tool is the most flexible and reliable Ruby library tool that allows you to automate web browsers. It enables you to communicate with web browsers while performing various web functions.

Supergiant

A supergiant is an open-source tool for container management that is built on top of Kubernetes. It enables Kubernetes deployment on multiple clouds within no time. Also, it helps in streamlining the production deployment. It helps in lowering the hardware costs due to the packing algorithm of the Supergiant.

Nagios

This open-source tool provides a solution to infrastructure monitoring. This tool has a well-established base in the monitoring area and is highly efficient due to the broad community creating plugins for its support. You can choose this tool over others if you want to represent your result in various visual forms.

SaltStack

SaltStack is an enterprise paid version of Salt, which is highly flexible and intelligent open-source software for event-driven orchestration, remote execution, and configuration automation. This tool orchestrates the significant movement of the code into production and ensures optimal application delivery. It allows you to deploy and configure dynamic applications.

Chef

If you want to handle both traditional and cloud environments using a single tool, Chef is the right choice. This tool comes with the development kit that allows you to deploy and test the automation code locally before deploying it to production.

Docker

Docker offers portability due to its containerization technology that transforms IT environments. It packages libraries, tools, runtime everything required for an application to run irrespective of the deployment location.

Git

This open-source tool helps to maintain the source code and to host open-source projects. Git stands out of other tools due to its ability to handle merging and branching. This tool is used by many developers and has become popular in recent years. It offers plugins to integrate it with Jenkins for supporting deployment and integration.

Bitbucket

Similar to GitHub, BitBucket is another tool that helps manage project code throughout the SDLC cycle. While the core functionality of BitBucket resembles that of GitHub, features such as easy integration with Jira and Trello, inbuilt CI/CD functionality tend to give this tool by Atlassian an edge.

Puppet

With Puppet, you can follow a standard way of managing and delivering software. Puppet enhances audibility, reliability, and agility. It offers continuous automation and delivery during complete SDLC. With the introduction of various new features, it allows you to handle dynamic systems with great ease.

Prometheus

It is an open-source systems monitoring and alerting toolkit.It comes with a dimensional data model, flexible query language, efficient time series database and modern alerting approach

These tools will help to bridge the gap between the development and production environment. You can choose any tool that suits your business requirement.

Terraform

Terraform is an open-source infrastructure as code software tool that lets you safely and predictably create, change, and improve infrastructure.Users define and provision data-center infrastructure using a declarative configuration language known as HashiCorp Configuration Language (HCL), or optionally JSON.

Conclusion

Open source is slowly becoming integral to DevOps success, both as a source of innovative tools and also forming the culture that DevOps requires to succeed.If modern day enterprises are looking to build DevOps toolchain, they should consider open source DevOps tools in addition to commercial tools, we have already seen the benefits of using the open-source tools above.

The post Adopting Open-source in 2021 for Devops success appeared first on DevopsCurry.

Best Open Source Monitoring Options in 2021 for your Kubernetes Cluster

Namrata Joshi — Tue, 17 Nov 2020 14:24:25 +0000

Best Open-Source Monitoring Tools for Kubernetes in 2021

Best Open Source.. Monitoring an application’s current state is one of the most effective ways to anticipate problems and discover bottlenecks in a production environment. But it is also currently one of the biggest challenges faced by almost all of the software organizations across the globe. [Best Open Source]

Why Kubernetes is considered as the De facto standard for container orchestration?

Kubernetes has taken the container ecosystem by storm, and for good reasons. Kubernetes functions as the brain for your distributed container deployment. Kubernetes is a production-ready, open-source platform designed by Google’s using its accumulated experience in container orchestration.

Kubernetes has over 58K stars on GitHub & 2200+ contributors around the world. With the new ways of building & running applications, monitoring and observability strategies need to change.

Also monitoring Kubernetes, both the infrastructure platform and the running workloads, is on everyone’s checklist as we evolve beyond day zero and move into production.

What to Monitor?

We can try monitoring the following Kubernetes pod, node and cluster level metrices:

Container CPU and Memory Usage
Kubernetes Pod CPU and Memory Usage
Node CPU and Memory Usage
Namespace CPU and Memory Usage
Cluster CPU and Memory Usage
Container CPU and Memory Requests
Pod CPU and Memory Requests
Node CPU and Memory Requests
CPU and Memory Limits at Pod, Node and cluster levels
Kubernetes Resource Capacity

So here we bring for you some of the most popular Open-source monitoring tools to work with Kubernetes.

1. Prometheus 

Originally built at the sound cloud, Prometheus is a monitoring and alerting toolkit. It is quite popular in the development community. Now, it is governed by the CNCF (Cloud Native Computing Foundation). Prometheus simplifies the process of pulling numerical metrics based on a time series from a given metrics endpoint.   It has three elements: Prometheus server, Alert manager, and Exporters. Prometheus servers look after service discovery and pulling metrics from the exporters. The alert manager is responsible for setting up alert rules, analyzing the data in the Prometheus Db. It sends alert messages to multiple receivers if a certain rule is triggered. Exporters are independent containers that can be run on your target resource to generate & export metrics via metrics API.   Prometheus is developed to collect time-series data via a pull model over HTTP. Here, multiple modes are available for graph and dashboard support.

2. Grafana 

You can monitor your Kubernetes cluster’s performance using Grafana. It is mostly used for matric analysis and visualization suite. It allows creating custom dashboards using data taken from multiple sources.   The monitoring capabilities of Grafana include:

Cluster metrics: Pod, capacity/usage, memory capacity/ usage, CPU capacity/usage, Disk capacity/usage, an overview of nodes, pods, and containers. Node Metrics: CPU, memory available, Load per CPU, Read lops, write lops, %Util, network traffic/second, packets/second, error/second.
Pod/container Metrics: Memory usage, Network traffic, CPU usage, Read lops, write lops. Grafana offers an associated product called ‘LOKI’. Loki aggregates logs in Kubernetes and integrates well with the Grafana UI.

3. The ELK Stack   

The ELK or Elastic stack is one of the most popular open-source solutions for logging Kubernetes. The ELK consists of the following things:

Elastic search- scalable and well-performer. It can handle the storage and search across millions of docs.
Logstash- Aggregate and process logs and send the processed data for storage.
Kibana- It is an analysis interface to help users make sense of data.
Beats- These are the lightweight data shippers.

The enterprise version of ELK stack ships with X-pack, a set of additional tools that enables reporting, alerting, and role-based access control (RBAC). You need to use the previously mentioned enterprise version of the ELK stack to enable RBAC.

4. Fluentd 

Fluentd is governed by a cloud-native computing foundation (CNCF). It is a specialized data collector that unifies data collection & consumption. Fluentd helps to better understand & use of data.

Additionally, Fluentd offers built-in metrics and general purpose output interfaces for centralized collectors. It is quite popular among Kubernetes users to Logstash’s facilities, especially those performances-related. Fluentd is a high performing, scalable &reliable.

It is quite easy to add new inputs or outputs with very little effect on performance. It uses disks or memory for buffering and queuing to handle transmission failures or data overload. It supports multiple configuration options to ensure a more resilient data pipeline.

5. cAdvisor   

cAdvisor is used to collect, process, and export resource usage and performance information about running containers. Like other agents, cAdvisor is not deployed per Pod but on the node level. It’s a basic tool but a very useful one.  cAdvisor is built into Kubernetes and integrated into the Kubelet binary. It automatically detects every running container on a machine and collects system metrics like memory, CPU, network, etc.

cAdvisor is capable to support multiple endpoints despite having limited functionality. However, there are some cons of cAdvisor like it’s very basic, lacks analytical depth, and has limited functionalities.

6. Kubewatch

Kubewatch watches the specific Kubernetes events and pushes notifications on these events to various endpoints. In simple words, Kubewatch is the go-to tool to receive push notifications on available collaboration applications or notification channels.   Kubewatch is easy to configure and can be deployed using either helm or a custom deployment. It will take care of changes made to specific Kubernetes resources that you ask it to watch, like daemon sets, deployment, Pods, replica sets, replica controllers, services, secrets, and configuration maps.   Users need to run it in their K8s cluster, and the event notifications will be received via webhooks.

7. Kube-Ops-View

Kube-Ops-View is not exactly a monitoring tool. It can’t be used to monitor and alert on production issues, it can give you a nice operational picture of your Kubernetes clusters. It will also have a look at the different nodes deployed and their status along with different Pods running on the nodes.
Kube-Ops-View provides a common operational picture for multiple K8s clusters. It shows the capacity and resource usage for nodes and individual pods with animation. However, it is not a replacement for Kubernetes Dashboard or a monitoring solution. It simply helps the users to quickly figure out the usage metrics without doing too much hustle.

8. Jaeger

It’s an end-to-end distributed tracing solution. Jaeger is widely acknowledged by Kubernetes practitioners as monitoring and troubleshooting best practices. The brief history of Jaeger is that it was developed by Uber, inspired by OpenZipkin and Dapper, and donated to CNCF.   When a service failure occurs, you have no idea how the requests have gone from service to service over the network to complete a single business transaction. Debugging is extremely difficult in such conditions. Jaeger user tracing to enable root cause analysis, performance, and latency optimization. Jaeger is easy to use and provides a seamless user interface along with different instrumentation options.

9. Weave Scope

Weave Scope is a troubleshooting and monitoring tool for Docker and Kubernetes. It was developed by Weaveworks. Weave Scope allows you to gain operational insights into your Kubernetes clusters. It takes a few steps ahead of Kube-Ops-View by providing a much easier and nicer user interface.   It also provides the ability to manage containers and run diagnostic commands within the interface. Users can see the application, monitor the infrastructure. It is deployed on, and the relationships between the different components.   Weave Scope is an effective tool for gaining context on your deployment. The only drawback of Weave Scope is that it lacks analytical depth.

10. Kubernetes Dashboard

It’s a Web-based, UI add-on for Kubernetes clusters. Users can create and manage workloads as well as do discovery, load balancing, configuration, storage, and monitoring. Kubernetes dashboard offers numerous features and is quite useful for small clusters & for people starting to learn Kubernetes.   This tool offers different views for CPU and memory usage metrics aggregated across all nodes. This Dashboard is widely used to monitor the health status of workloads like pods, deployments, replica sets, etc. the installation process is quite easy and can be done using readymade YAML files.

11. Kube-state-metrics

Kube-state-metrics is a Kubernetes-native metrics service designed to listen to the Kubernetes. It generates metrics without any modification to Kubernetes API. Hence, users can rely on the same grade of stability as offered by Kubernetes API.   Kube-state-metrics is an extremely essay to use and is only a metrics service. It requires a few more bit and pieces to become part of a complete monitoring solution for Kubernetes.   Kube-state-metrics exports the metrics on the HTTP endpoint in a plain text format. Real-life Kubernetes practitioners recommend Kube-state-metrics if someone is struggling to use Prometheus for K8s monitoring.

Conclusion

In this blog post we have discussed the importance of Kubernetes monitoring and also outlined an extensive list of open-source monitoring tools for kubernetes. Finally choosing a tool depends on your monitoring needs and use cases. Open-source solutions have the advantage of being backed up by large communities driven to improve existing solutions.

The post Best Open Source Monitoring Options in 2021 for your Kubernetes Cluster appeared first on DevopsCurry.