Learn what Amazon Managed Service for Prometheus provides and how you can benefit from it.
Monitoring is one of the hot topics when we talk about cloud-native architectures. Prometheus is a graduated Cloud Native Computing Foundation (CNCF) open-source project and one of the industry-standard solutions when it comes to monitoring your cloud-native deployment, especially when Kubernetes is involved.
Following its own philosophy of providing a managed service for some of the most used open-source projects but fully integrated with the AWS ecosystem, AWS releases a general preview (at the time of writing this article): Amazon Managed Service for Prometheus (AMP).
The first thing is to define what Amazon Managed Service for Prometheus is and what…
Save time and money on your application platform deploying applications differently in Kubernetes.
We have come from a time where we deploy an application using an apparent and straight-line process. The traditional way is pretty much like this:
- Wait until a weekend or some time where the load is low, and business can tolerate some service unavailability.
- We schedule the change and warn all the teams involved for that time to be ready to manage the impact.
- We deploy the new version and we have all the teams during the functional test they need to do to ensure that is working fine, and we wait for the real load to happen.
- We monitor…
Maximizing the productivity of working with Kubernetes Environment with a tool for each persona
We all know that Kubernetes is the default environment for all our new applications we developed we will build. The flavor of that Kubernetes platform can be of different ways and forms, but one thing is clear, it is complex.
The reasons behind this complexity is being able to provide all the flexibility but it is also true that the k8s project never has put much effort to provide a simple way to manage your clusters and kubectl is the point of access to send commands leaving this door open to the community to provide its own solution and these…
KEDA provides a rich environment to scale your application apart from the traditional HPA approach using CPU and Memory
Autoscaling is one of the great things of cloud-native environments and helps us to provide an optimized use of the operations. Kubernetes provides many options to do that being one of those the Horizontal Pod Autoscaler (HPA) approach.
HPA is the way Kubernetes has to detect if it is needed to scale any of the pods, and it is based on the metrics such as CPU usage or memory.
Sometimes those metrics are not enough to decide if the number of replicas we have available is enough. …
Event-Driven architecture provides more agility to meet the changes of a more demanding customer ecosystem.
The market is shifting at a speed that is needed to be ready to change very quickly, customers are becoming more and more demanding and we need to be able to deliver what they are expecting, and to do so we need an architecture that is responsive enough to be able to adapt at the pace that is required.
Event-Driven Architectures (usually just referred to as EDA) are architectures where events are the crucial part of it and we design components ready to handle those events in the most efficient way. …
KubeEye supports you in the task of ensuring that your cluster is performing well and ensure all your best practices are being followed.
Kubernetes has become the new normal to deploy our applications and other serverless options, so the administration of these clusters has become critical for most enterprises.
This task is clear that it is not an easy task. As always, the flexibility and power that technology provides to the users (in this case, the developers) also came with a trade-off with the operation and management's complexity. And this is not an exception to that.
We have been evolved, including managed options that simplify all the underlying setup and low-level management of the infrastructure behind it. …
Discover how Anchore can help you to keep your software safe and secure without losing agility.
Security is one of the big topics of nowaday’s development practice. All the improvements that we got following the DevOps practices have generated many issues and concerns from the security perspective.
The explosion of components that the security teams need to deal with, container approaches, and polyglot environments gave us many benefits from the development and the operational perspective. Still, it made the security side of it more complex.
This is why there have been many movements regarding the “Shift left” approach and including security as part of the DevOps process creating the new term for DevSecOps that is becoming…
Discover how the OSGI lcfg command can help you be sure which is the configuration at runtime.
When we are talking about applications deployed on the cloud one of the key things is Configuration Management. Especially if we include into the mix things like Kubernetes, Containers, External Configuration Management System things got tricky.
Usual configuration when we are talking about a Kubernetes environment for configuration management is the use of Config Maps or Spring Cloud Config.
When you can upload the configuration in a separate step as deploying the application, you can get into a situation where you are not sure about what is the running configuration that a BusinessWorks application has.
In BusinessWorks Container Edition there…
This is the newsletter that brings to you a curated selection of interesting articles about cloud native architectures. In this week issue we cover the increasing the usage of private clouds inside the organisations, the important role of services meshes in your architecture and we introduce Loki a new project from Gafana Labs team to provide a different perspective to the Log Management.
Breaking News
Are Private Clouds Proliferating? — thenewstack.io
The average number of private clouds being used or experimented with jumped 3.9 to 4.9 in the latest study Flexera 2021 State of the Cloud Report. That’s more than the average…
Check out the properties that will let you to an optimized use of your disk storage and savings storing your monitoring data
Prometheus has become a standard component in our cloud architectures, so I am going to guess that if you are reading this you already know what Prometheus is. If this is not the case, please take your time to take a look at other articles that I have created:
We know that usually when we monitor using Prometheus we have so many exporters available at our disposal and also that each of them exposes a lot of very relevant metrics that we need to track everything we need to and that lead to very intensive usage of the storage available…
