As my co-founder Caleb Hailey likes to say, collecting monitoring and observability data is essentially a solved problem. The only remaining challenges are related to getting that data where you want it to go. When dealing with different formats — say, collecting Prometheus metrics and storing them in Elasticsearch — this can be a non-trivial problem. Put simply, it’s like trying to put a square peg into a round hole.

SSO is often accomplished by using Lightweight Directory Access Protocol (LDAP). While LDAP has a variety of use cases, in this post, I’ll focus on authentication — specifically, how to use LDAP authentication for single-sign on (SSO) with Sensu Go. First off, a quick overview of Sensu authentication.

Working together successfully as a team — especially in this increasingly remote world — is all about collaboration. As part of that collaboration, it’s critical that team members have access to the files and programs they need to accomplish their jobs, and that access should be easily revocable for when employees change roles or leave the company. This is achieved through access control, which, simply put, defines who is allowed to access what.

Earlier this year, we shared the certified Ansible Collection for Sensu Go, which makes it easy to automate your monitoring and achieve real-time visibility into auto-scaling infrastructure. Now that Sensu Go 6 has been released, we’ll share the latest updates on the Collection, including the management aspects of Sensu Go 6, with a focus on the structure of Ansible playbooks in the Sensu Go 6 world.

If you’re here, it means that your application is a hit, coming through a long way of development and deployments. Your application is finally in a stage where you or your team need to set up more servers than you can handle manually, and you have to provision them fast. There’s also the need to make sure that all of them have the same configuration, packages, and versions in order for your application to have the same behavior in all of them.

Since the release of Sensu Go, many in our community have told us Sensu is easier and faster to deploy, more portable, and more compatible with containerized and ephemeral environments (as compared to Sensu Core, the original version of Sensu). In a recent webinar, I talked about integrating Sensu Go with your CI/CD pipeline and how to use the sensuctl prune command to keep your Sensu resources in a declarative state, reducing dependence on traditional configuration management tools.

Since the release of Sensu Go, many in our community have told us Sensu is easier and faster to deploy, more portable, and more compatible with containerized and ephemeral environments (as compared to Sensu Core, the original version of Sensu). In a recent webinar, I talked about integrating Sensu Go with your CI/CD pipeline and how to use the sensuctl prune command to keep your Sensu resources in a declarative state, reducing dependence on traditional configuration management tools.

As many organizations migrate to the public cloud, a major concern has been how to best secure data, preventing it from unauthorized access or exfiltration. Deploying a product like HashiCorp Vault gives you better control of your sensitive credentials and helps you meet cloud security standards.

In the midst of the COVID-19 pandemic, many businesses have faced uncertainty regarding the future. While some companies had to close down temporarily, others were able to move toward a remote workforce. By mid-April of 2020, the number of employed adults saying they began working remotely peaked at 62%. While this number will inevitably go down once the pandemic passes, it certainly seems like remote work has become more commonplace.

Monitoring and compliance are, in many ways, synonymous. At the very least, there’s a big overlap in terms of defining and monitoring rulesets you care about. The time frame may vary; with monitoring, you might jump on an alert right away, as opposed to the compliance team’s quarterly audit, but the foundation remains the same. As our development cycles grow ever more dynamic, the need for automating repetitive tasks becomes all the more important.