To accelerate and improve the development of the software, most of the companies have integrated DevOps. It will also support to run the digital transformation. Now we have very effective and efficient tool ecosystems, transformation models and methodologies with endless resources that are existing to guide organizations along the journey of the DevOps. It is observed that when we select a group of ten engineers and ask them about the strategy that they measure for their success in DevOps, we found ten different answers as the measurement of success depend on their opinion and they convey their point of view. But all of them are happy with their experiences. However, it makes very difficult to measure the success of the DevOps as the framework of DevOps is not formal. DevOps is a set of practices and has very limited guidance that enables you to make sure you are going on the right way and measuring your failures and success accurately. It seems like there are changes in every organization that is taking effect of DevOps. Measuring the success for your core DevOps is about big issues understanding not about immediate complete automation.
On the other hand, despite the unclear explanation of the DevOps organization, we are telling you some key performance indicators which are usually same in all environments of DevOps. So, if you want to learn DevOps you should understand these aspects as well;
- Management of assets.
- Continuous deployment / Integration
- Management of Asset
In this situation, the meanings of management of asset or asset management are the measurement of what is automated and their control is how much effect. It cannot create any difference if you have tools like Chef, Puppet, Terraform or Ansible; but it creates difference if you are using these tools effectively. With the effective use of these tools, you can automatically provision cloud assets or bare-metal, as well as receive traffic and link a load balancer. On the other hand, chaining lambda functions or Kubernetes also enables you to achieve the same results. Automation is a very concern with the Control of assets to gain the goals that have you planned for your business.
If you are experiencing cloud workloads or on-premises virtualization, it will take time to restructure the processing cycles with less requirement of hardware to reduce the cost that is occurred every month. The higher automation percentage of containers, servers, services, etc. makes you able to spend less time maintaining and fixing the infrastructure. There may be some applications that are configured uniquely for the organization and having this particular reason their automation cannot be done. However, this is the right time for the retirement of these applications and construct applications that are more advanced and fruitful.
We should monitor all of our resources, and also clean out the noise. There is a requirement that should be deployed to every server you have is “The Monitoring agents”. To parsing out the non-required data we should use our PaaS tools and the providers that have Integration. The monitoring of everything when nothing is filtering properly is a worse thing than not monitoring anything at all.
Worthy monitoring should be combined every time with using the material acquired. Capturing logs, analyzing them and work with proper tools like Datadog, ELK, or Sumo Logic. For example, if you have a big kit that can glean and capture valuable information from the data that has a very big amount and no only that it can also accomplish predictive analyses and make decisions. The inefficient operations of your stack might be learned or scaling very slowly during the periods of peak utilization.
Dissimilar systems should be amassed into a typical instrument, instead of spending time for consolidating the data crosswise over systems or dragging data from information stockrooms to get your understanding. Give the tools a chance to do that work for you. There are some other tools like Logstash that uses for pull and comprehend the application, database, and different logs in your stack for important information. If not, you’re restricting your understanding of the health of services.
3) Continuous deployment / Integration
Continuous deployment and continuous integration is the contrast between discharging software one time in a quarter or year and performing the number of discharges to production inside a day. But it is not an easy indicator to measure as every environment is not the same. The understanding is very important to know which types of codes submit don’t make it past your reconciliation condition. The result of these blockages might be bad programming practices, poor testing or not a good quality of codes. Be that as it may, if features remain in integration or dev for a long time, there is definitely a fundamental issue. By and large, it revolves around automated testing.
Principally, continuous testing training is the reason for decent business logic creation, also the testing of integration that approaches maximum use cases whereas covering every class and function. Instant reaction on the failed test or successful tests speeds up the process of automation. If fewer automated testing is built, then on hand QA testing will increase. The failure of good business integration and testing reduces the speed of the whole CD portion of the pipeline.
4) Continuous Security
To ensure security compliance, the easiest approach is to shift left and all security issues must be resolved in the stage of development. Also sometimes, security is merely used for production, which defines that it’s not a portion of the environment’s start to finish process. Securing networks and applications at the level of development will enhance your confidence that there will be properly interoperation of all applications at the level of the production.
It should be assured that you start carrying on the monitoring and deploying your cluster after shifting left. You must have the tools that can deliver an immediate summary of the security status and cluster’s compliance with the keeping an eye at governance check and workload security.