Monitoring for app right-sizing in GKE
In this video, we show you how app right-sizing can fine-tune workload requests over time, ensuring they accurately reflect what the workloads utilize.
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The latest News and Information on Cloud monitoring, security and related technologies.
Key metrics for monitoring Amazon EFS
Amazon Elastic File System (EFS) provides shared, persistent, and elastic storage in the AWS cloud. Like Amazon S3, EFS is a highly available managed service that scales with your storage needs, and it also enables you to mount a file system to an EC2 instance, similar to Amazon Elastic Block Store (EBS).
Amazon EFS monitoring tools
In Part 1 of this series, we looked at EFS metrics from several different categories—storage, latency, I/O, throughput, and client connections. In this post, we’ll show you how you can collect those metrics—as well as EFS logs—using built-in and external tools.
EFS Monitoring with Datadog
In Part 1 of this series, we looked at the key EFS metrics you should monitor, and in Part 2 we showed you how you can use tools from AWS and Linux to collect and alert on EFS metrics and logs. Monitoring EFS in isolation, however, can lead to visibility gaps as you try to understand the full context of your application’s health and performance.
Trinity Fire & Security Systems Selects iland to Lead Cloud Transformation
UK fire and security systems company leaves traditional data centres behind, turning to iland Secure Cloud Infrastructure as a Service to host critical workloads and foster future flexibility.
Securing AWS IAM with Sysdig Secure
Last year’s IDC’s Cloud Security Survey found that nearly 80 percent of companies polled have suffered at least one cloud data breach in the past 18 months.
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!
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.
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.
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.