Kazeem Razaq @R.kazeem/ 6:00 PM EDT. October 21, 2022.
DevOps is an IT process that changes the way businesses work. It's a software development process that takes place between software developers and operations teams, allowing both to collaborate on building products. But without monitoring tools like Splunk, how can you keep up with your DevOps initiatives?
If you are looking for DevOps Monitoring tools, then this post is for you. DevOps is an evolution of traditional IT that involves continuous integration, deployment and operation (CI/CD), and automation. The main objective of DevOps is to make development as easy and routine as possible. But what does that mean exactly? What is here to monitor during the entire process? How do you ensure quality in every stage of the process, from raw code through a running application?
What Exactly is DevOps and Why is it Important
DevOps is one of the hottest trends in the IT industry today. It's a set of processes, tools and techniques that help organizations improve efficiency by improving collaboration between developers and operations personnel in a software development lifecycle (SDLC). Each organization has different technologies needed to build simple or complex products at scale. These technologies include infrastructure and application tier management, automation, communications and monitoring. Using customer-oriented agile environments transforms your development process into an efficient collaboration between developers, operations personnel and business stakeholders.
Application lifecycles and automated code testing are moving more quickly thanks to DevOps. Every component of the DevOps toolchain now requires monitoring systems because there are numerous contributors to a single software project.
To perform and prevent unintended production adjustments, monitoring systems link the departments that work in isolation as teams.
What does DevOps Monitoring entail?
More controls and automation are required as software infrastructure becomes more complicated in order to track everything from strategy to development, integration to testing, and deployment to operations.
The continuous, automated process of locating, following, evaluating, and reporting on particular components of the entire pipeline is known as DevOps monitoring. Continuous planning, development, integration, testing, deployment, and operations are included in the pipeline.
Engineers also refer to DevOps monitoring as continuous monitoring (CM) and continuous control monitoring (CCM).
By enabling teams to see possible problems before releasing code to production, monitoring DevOps improves development productivity. DevOps engineers can do this by planning, designing, developing, testing, deploying, and reviewing a predetermined amount of work within a predetermined time frame.
DevOps Monitoring is Crucial
Teams that use DevOps monitoring may respond instantly and automatically to any changes in client experience. Additionally, it allows developers to switch back to earlier stages of development, which lowers the number of product modifications that fail. With greater software instrumentation, issues can be identified and resolved manually or automatically depending on the situation.
DevOps approaches include continuous monitoring at every stage, including development, testing, and staging. This is influenced by a number of things.
After being properly implemented, monitoring systems lot of client's valuable insights.
Monitoring is proactive in DevOps, which means it finds bugs before they happen.
Better tracking of company KPIs and production monitoring are also made possible through monitoring.
different types of monitoring equipment utilized in DevOps
1. Server Monitoring
Server Monitoring is also known as infrastructure monitoring or resource monitoring. This procedure involves gathering and then analyzing data regarding a server's performance. The server monitoring methods provide comprehensive statistics on CPU loads, RAM usage, and remaining disk space. Users can combine the data from the virtual servers for cloud-based scenarios using server monitoring techniques.
2. Monitoring of Application Performance
Monitoring a service's or an application's performance helps determine how well it is performing. the instruments used to assess server performance. To monitor metrics like completion and response time, these tools completely work on their own. Monitoring Application performance monitoring is essential for ensuring application performance issues and problems are detected promptly so that the services can smoothly function as intended to do.
3. Network Monitoring
Network monitoring allows for the inspection, detection, and analysis of data entering and leaving a computer network. The network monitoring tools can assist in tracking incoming requests and outgoing responses across the various components, starting with the firewalls and switches and ending with the servers.
Different Monitoring Tool Types in DevOps
The popular open-source system monitoring and alerting toolkit Prometheus was created primarily for contemporary application monitoring. It allows for the monitoring of Linux servers and Kubernetes, and it records metrics as time series data.
It employs the "read-only" and adaptable "PromQL" query language, which enables aggregation across any of the labels recorded in its time series. Additionally, we can enable short-lived jobs by using push gateway and specialized exporters like HAProxy, StatsD, Graphite, etc. Prometheus is designed to operate on a single server node and does not rely on distributed storage. Windows, Linux, MySQL, and other platforms are supported by Prometheus' default libraries and servers. You can also incorporate instrumentation into your code by using Prometheus client libraries for languages like Go, Java or Scala, Python, Ruby, and many others.
What Justifies Choosing Prometheus?
With its alert manager, Prometheus functions as a complete, end-to-end monitoring solution. Therefore, you do not need to search for any alert methods integrations with other parties. It functions as a monitoring tool on its own.
A SaaS-based infrastructure monitoring service with many integrations is called DataDog. It gives DevOps teams the ability to monitor changing cloud environments. This makes it simple to see the overall condition of your infrastructure by location, application, or service. The DataDog agent is ideal for users with cloud or hybrid infrastructures since it can run on cloud platforms, bare metal servers, virtual machines, containers, and more.
The DataDog is completely open-source, making it simple to examine the code and learn how it gathers measurements. The agent can be extended to augment and supplement simple monitoring with pre-built integrations with well-known web servers, programming languages, databases, code repositories, and message triggers. For each integration that has been installed, DataDog provides pre-configured dashboards.
What Makes DataDog the Best Option?
With dynamic dashboards and alerting, DataDog makes it simple to manage complicated cloud and hybrid infrastructures. Not to mention how crucial communication is to a successful DevOps team, DataDog enables users to connect and cooperate utilizing the active notification system by inviting as many coworkers as they like.
One of the best DevOps monitoring tools is Sensu, which is used to track infrastructure and software applications. You can use this platform to gauge and keep an eye on the functionality of your applications, infrastructure, and business KPIs.
Sensu mixes static, dynamic, and temporary infrastructure to address contemporary problems in platforms for modern infrastructure. Although Sensu does not provide software as a service (SaaS), you can monitor your system as you like.
It has the ability to send notifications and alarms.
It offers dynamic client registration and de-registration.
Mission-critical applications or multi-tiered networks have no impact on it.
It is ideal for process automation.
Even though it is open-source, it offers top-notch commercial support.
Why Choose Sensu?
Sensu is scalable, secure, and integrated. You can specify the monitoring insights that are most important using Sensu's Observability pipeline, which employs declarative setups and a service-based methodology. Despite being open source, its commercial assistance addresses issues with contemporary infrastructure.
It's fairly unusual for vendors to solely offer tools for performance monitoring, log analysis, or user experience monitoring. Sematext puts them all into a single monitoring system to aid businesses in quicker problem-solving. To investigate and notify the companies, it employs pre-defined or personalized dashboards.
The ability to track response times for infrastructure, databases, applications, and websites allows for quicker root cause analysis. Both metrics and logs can have anomaly detection and alarms set up.
You can quickly set up your account thanks to integrations with lightweight data shippers like Sematext, Kubernetes, and Docker. Metrics can be filtered depending on any statistic or aggregated for analysis. Semantic Synthetics, a synthetic monitoring solution for your websites and HTTP APIs, is one of its features.
What Justifies Choosing Sematext?
Sematext provides a versatile, extendable, and dependable way to continuously monitor all of our surroundings. Additionally, its "Pay-as-you-go" pricing structure is effective with both transient containers and permanent ones.
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