MongoDB is the most popular NoSQL and an open-source document-oriented database. The term NoSQL means ‘non-relational’.This simply means mongo does not base on a table-like relational database structure. It is moreover a schemaless database. In Mongo information is stored in JSON-style documents.
Knowing what’s running inside the container, how the application and code are performing is critical for tackling important issues. Discussed here are some important Microservices monitoring tools and approaches. Take a look!
With Microservices architecture becoming the de facto standard for web applications now, effective debugging and anomaly detection calls for a system that is observable — which means, the internal state of an application can be inferred by observing and tracking the metrics, traces and logs. Continue reading “Observability for Monitoring Microservices — Top 5 Ways!”
Nowadays, it is very common to run applications on Spot instances. In this scenario, where a spot instance could be terminated at any point of time because of AWS pulling back their resource or ASG Scale-In incident, we need to have something in place to handle the termination smoothly so that we can complete our final tasks before the system shutdown. It could be executing some scripts, unmounting some storage device, shipping final log files to S3, or uploading cache data in a centralized server like Redis. Today, I will attempt to cater to this problem.
First of all, let’s think of trying to run a custom script prior to shutdown in our local system. If everything works fine, the same would be applicable for ec2 spot instances too.
We are living in the microservice era, where we have a number of applications to support a business model. But our application success cannot be determined by the features only, it should have a scalable model as well. Otherwise, something like this would happen:-
When we generally talk about the scaling in the microservices, people think that applications that are running inside Kubernetes as containers. Since Kubernetes has its own method of autoscaling using the metrics-server, we don’t have to worry about the scaling of the applications inside it.
With critical DevSecOps services coming to the fore, businesses have actually begun to realize how important it is to ensure security within each stage of the DevOps lifecycle. But still, there are many who do have proper clarity on the difference between DevOps and DevSecOps. No matter, you call it “DevOps” or “DevSecOps,” the term is related to the process of including security practices as a major part of the entire app life cycle.
DevSecOps, in simple words, means development, security and operations. It’s a process of implementing security practices and actions in the DevOps lifecycle. It’s all about embedding security features and enhanced automation throughout the CI/CD pipeline for removing mistakes and reducing attacks & downtime.