Operations | Monitoring | ITSM | DevOps | Cloud

You've always been able to execute CI/CD workflows via Bitbucket Pipelines using Atlassian's infrastructure. This is the easiest way to use Bitbucket Pipelines because you don't need to host or manage any servers. We host it and manage it for you. But sometimes you need more control of your hardware, software, and the environment your builds are executed into.

When Squadcast was founded back in 2018, we had a concise yet clear goal—we wanted to make it as easy as possible for companies to manage their IT incident and reliability needs. In the spirit of continuing that mission, today I’m excited to announce our $6M fundraise led by DNX Ventures and backed by Wipro Ventures, Nexus Ventures, and Chiratae Ventures. We’re also pleased to announce the addition of DNX and Q Motiwala to our Board of Directors.

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).

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.

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.

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.