Operations | Monitoring | ITSM | DevOps | Cloud

Whether this is the third time you are looking at the MITRE Engenuity ATT&CK® evaluation results or your first, you may be asking yourself: what was unique about this year’s evaluation? Well, let’s first start with: who is MITRE Engenuity? They are a tech foundation that collaborates with the private sector on many initiatives — most notably cybersecurity — and in recent years have become synonymous with cyber threat evaluations.

Unify and contextualize your logs, metrics, application trace data, and availability data behind a single pane of glass. Elastic Observability provides a unified view into the health and performance of your entire digital ecosystem. With easy ingest of multiple kinds of data via pre-built collectors for hundreds of data sources, Elastic Observability delivers seamless integration between the facets of observability.

Our journey with Elastic began with a search for a single monitoring platform service for all kinds of applications and infrastructure across geographies and in the cloud. Like many other organizations who use Elastic, our story does not end there.

With everything going on in the world, it seems like a lifetime ago that we started talking about the Splunk Operator for Kubernetes, which enables customers to easily deploy, scale, and manage Splunk Enterprise on their choice of cloud environment. During that time, we’ve heard from an increasing number of on-premise and public cloud Bring-Your-Own-License Splunk customers that containerization and Kubernetes are an important part of their current and future deployment plans.

Experts predict that by 2025 we’ll have more than 75 billion connected devices, a number almost triple that recorded in 2019. With networks becoming far more dynamic and complex than ever before, the ability to find IP addresses on the network is essential. As well, people are connecting to company networks with an ever-increasing number of devices, leading to increased risk not only in security but also in maintenance and management.

The shift to remote work changed the way IT teams collaborate. Instead of walking over to a colleague’s desk, co-workers collaborate digitally. Looking forward, many companies will continue some form of remote work by taking a hybrid approach. Root cause analysis in IT will always require collaboration as teams look to improve service availability and prevent problems. Sitting in front of the same screen and looking at the same data makes it easy to discuss problems.

We set out with a plan this year to nurture and grow our developer ecosystem. In 2020, we launched our Template Library to empower joint users of LogDNA and our partners to have an out-of-the-box logging experience from every layer of their stack. As the use of these templates has grown, users have told us that they save them time from manually creating Views, Boards, and Screens, and helps them gain insight from their logs much quicker.

In this series, we’ve introduced key HashiCorp Vault metrics and logs to watch, and looked at some ways to retrieve that information with built-in monitoring tools. Vault is made up of many moving parts, including the core, secrets engine, and audit devices. To get a full picture of Vault health and performance, it’s important to track all these components, along with the resources they consume from their underlying infrastructure.

In Part 1, we looked at the key metrics for monitoring the health and performance of your HashiCorp Vault deployment. We also discussed how Vault server and audit logs can give you additional context for troubleshooting issues ranging from losses in availability to policy misconfiguration. Now, we’ll show you how to access this data with tools that ship with Vault.