Operations | Monitoring | ITSM | DevOps | Cloud

Cloud

The latest News and Information on Cloud monitoring, security and related technologies.

My honest review: I tried AWS Serverless Monitoring using Dashbird.io

As a startup, we always want to focus on the most important thing — to deliver value to our customers. For that reason, we are a huge fan of the serverless options provided by AWS (Lambda) and GCP (Cloud Function) as these allow us to maintain and quickly deploy bite-size business logic to production, without having to worry too much about maintaining the underlying servers and computing resources.

End to End Tracking for Azure Integration Solutions

In any integration solution, when many Azure services come together to communicate with each other, there is a need for the organizations to build an end-to-end traceability/monitoring solution that can be used by the business users and IT support. Perform end-to-end message tracking and capturing necessary data on business process flow across Azure resources and hybrid integrations. Consider an organisation that has a well-defined Employee Onboarding process.

Why Do You Need to Document Your Microsoft Azure Usage?

As the adoption to cloud expand, subscribing and provisioning resources increases day by day. Enterprises have multiple strategies to implement their cloud deployments: single cloud, private cloud, multi-cloud, or hybrid cloud. There is a need to analyse and assess on regular basis to keep a watch on the usage to ensure expenditure on the cloud resources are efficient and there is no wastage. There are various possibilities but will need some level of technical competence and regular maintenance.

Debugging Cloud Functions

Developing a Cloud Function, but having issues troubleshooting it? In this episode of Serverless Expeditions Extended, we show you how to debug your function locally so you can avoid the risk of testing in production. Watch to learn how you can easily install the Functions Framework, set up the Node debugger, and fix your functions!

Lightning-fast scale-out with Ocean for container workloads

Spot Ocean offers best-in-class container-driven autoscaling that continuously monitors your environment, reacting to and remedying any infrastructure gap between the desired and actual running containers. The way this typically plays out is that when there are more containers than underlying cloud infrastructure, Ocean immediately starts provisioning additional nodes to the cluster so the container’s infrastructure requirements will be satisfied.

Connect your AKS cluster to Ocean using Terraform

Spot by NetApp serves hundreds of customers across industries, with different systems, environments, processes and tools. With this in mind, Spot aims to develop our products with flexibility so that whatever the use case, companies can get the full benefits of the cloud. Spot easily plugs into many tools that DevOps teams are already using, from CI/CD to infrastructure as code, including Terraform.

Secure your infrastructure in real time with Datadog Cloud Workload Security

From containerized workloads to microservice architectures, developers are rapidly adopting new technology to scale their products at unprecedented rates. To manage these complex deployments, many teams are increasingly moving their applications to third party–managed services and infrastructure, trading full-stack visibility for simplified operations.