Operations | Monitoring | ITSM | DevOps | Cloud

January 2021

Managing Compliance Drift: Break the endless scan-fix-drift cycle

In the first post of this series, we provided guidance for managing the many facets of a compliance program — taming the “compliance beast.” While there are many factors to consider, I’d argue that none is more essential than a reliable means of enforcement.

Learn how to comply now before your next audit

Are you struggling to keep up with manual compliance across your infrastructure? In this 25-minute episode of the Pulling the Strings podcast, powered by Puppet, learn how Puppet Comply makes automating your configuration compliance easy -- with full view dashboards and the ability to assess, remediate and enforce all through the Puppet Enterprise solution. Listen in and discover:

How to set AWS S3 Bucket Read Permissions with Relay

Cloud environments are susceptible to security issues. A big contributor is misconfigured resources. Misconfigured S3 buckets are one example of a security risk that could expose your organization’s sensitive data to bad actors. Policies and regular enforcement of best practices are key to reducing this security risk. However, manually checking and enforcing security is time-consuming and can fall behind with all the demands a busy DevOps team faces every day.

Taming the compliance beast: achieve efficiency & reliability at scale

Regulatory compliance is time-consuming and expensive. A recent survey of IT security professionals found that, on average, organizations must comply with 13 different regulations and spend an average of $3.5M annually on compliance activities, with audit-related activities consuming 232 person hours per year. With a team of five people, that adds up to 1.5 months a year devoted to audit-related activity. That’s a lot of hours that could have been spent on initiatives driving customer value.

Save Time and Money by Automatically Deleting Unused Azure Load Balancers

Using the cloud reduces on-premises infrastructure costs and related maintenance. Instead of deploying more servers, storage, and networking components to your own datacenter, you are now deploying these as cloud resources. Using the cloud is supposed to reduce infrastructure and maintenance costs. However, deploying cloud resources also risks over-commissioning, under-usage, and keeping resources running that are not always needed or, even worse, no longer in use.