Before we start, I have a confession: I absolutely love Digg (people are still Digging things, right?) errr...Reddit. It actually is my front page to the internet, where I research upgrades for my home lab/VR/other niche hobbies, watch silly videos, ingest low-effort memes, judge if people are ‘AHs’ or not on /r/amitheasshole, and occasionally talk trash to other Redditors about my Michigan-based sports teams.

The ELK (Elasticsearch, Logstash, and Kibana) stack’s main objective is to aggregate logs, but the vastly popular open-source project has numerous uses alongside aggregating logs. ELK can easily integrate with Kubernetes and is a common solution that enables users to gather, store, and examine Kubernetes telemetry data. However, with the continual rise of micro-service architecture, users are searching for an improved method of aggregating and searching through logs for debugging purposes.

This is the first in a series of blog posts about the disconnect between modern IT and security teams and the vendors they’re forced to work with. If you’re looking for the second and third posts, you can find them here and here. Imagine this scenario: You’re grappling with the ever-escalating costs of your legacy solutions. What’s the logical next step? For many, it’s exploring the new wave of tools emerging, such as data warehouses.

As the cybersecurity landscape becomes more and more complex. It seems like we hear about a major breach of a different company every day. Enterprises are looking for robust solutions to help them manage the surge in data and security incidents. That’s why our recent collaboration announcement with Microsoft means so much to us. It’s not just a piece of paper; it’s a testament to our dedication to providing customers with the best tools and solutions for the job.

A healthy relationship between services and databases is fundamental to overall application performance. Unchecked database issues can compromise application efficiency, user experience, and ultimately, your organization’s bottom line. To steer clear of these consequences, monitoring your databases should be a key component of your observability—and with the launch of Coralogix Database Monitoring, it can be.

Everyone loves managed services until the bill comes in. High performance search indexers are a premium technology and have premium resource requirements. Graylog 6.0 introduces Data Tiering to put the management back in centralized data management.

New reverse tail UI, API-based searches, and copy-paste permalinks Searching event data in SolarWinds® Observability just got easier. A new reverse tail display option lets you move the log search bar and change the scroll of the events from bottom to top. For SolarWinds Papertrail™ fans, moving the search bar and changing the scroll will make you feel right at home. To access this customization feature, select display options and toggle the reverse tail option.

A way for public sector organizations to leverage generative AI today to solve security challenges With its ability to sift through large amounts of data to find unusual patterns, generative AI now plays a key role in helping teams protect their organizations from cyber threats. It also helps security professionals by augmenting their skills and bridging gaps in their knowledge.

Elastic recently released version 8.13, which includes the general availability of Amazon Bedrock integration for the Elastic AI Assistant for Observability. This blog post will walk through the step-by-step process of setting up the Elastic AI Assistant with Amazon Bedrock.

Redis, which stands for remote dictionary server, is an open-source, in-memory data structure store that is commonly used as a database, cache, and message broker. Utilizing Redis provides numerous benefits for your team and organization, which have helped drive the tool's increase in popularity. A key example of this is speed, Redis works primarily in memory, making it particularly fast for data operations.