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The latest News and Information on Log Management, Log Analytics and related technologies.

Unlocking Business Insights with Telemetry Pipelines

Imagine running a large company where data-driven decisions give you a competitive edge. You use a lot of business intelligence tools that tap into vast amounts of data, such as sales figures, inventories, and expenses. This analysis tells you how your company is performing. However, it does not reveal how your "company infrastructure" is performing. This crucial information comes from your systems in the form of telemetry data, such as logs and events.

The Leading Network Device Monitoring Tools

Ensuring the security of your network infrastructure is critical for all organizations, and this requires going beyond traditional network monitoring and incorporating the monitoring of network devices, such as routers, switches, and other network devices. Whilst network monitoring includes the monitoring of devices, dedicated network device monitoring is a more thorough process for guaranteeing the health and performance of your organization's network devices.

Unlock the Value of Cloud: Introducing Splunk Cloud Value Calculator

In the rapidly evolving digital landscape, organizations are increasingly turning to the cloud powered with AI capabilities to enhance efficiency, scalability and innovation. Splunk, a leader in security and data observability, has been at the forefront of this transformation.

Setting up and Understanding OpenTelemetry Collector Pipelines Through Visualization

Observability provides many business benefits, but comes with costs as well. Once the (not-insignificant) work of picking a platform, taking an inventory of your applications and infrastructure, and getting buyin from leadership (both from the business and engineering sides of the house) is done, you then have to actually instrument your applications to emit data, and build the data pipeline that sends that data to your observability system.

5 Ways Logz.io's Log Management UI Beats Kibana & OSD

At Logz.io, we’ve found that for most organizations observability challenges start with log management. Today more than ever, log management is a highly complex practice that involves mountains of ephemeral data, and the related obstacles are preventing people from achieving their observability goals, full stop. That’s why we designed our new log management UI to simplify the daily tasks of SREs and developers in managing logs and diving into data.

Why OpenSearch Serverless is a Game-Changer

AWS OpenSearch Service is a fully managed service supplied by Amazon Web Services (AWS) for deploying, managing, and scaling OpenSearch clusters in the cloud. OpenSearch Service was formerly known as Amazon Elasticsearch Service (Amazon ES) but was renamed in 2021 due to changes in the open-source project it is based on. In 2022, AWS OpenSearch Serverless was announced.

BindPlane Summer '24 Release

As the summer heats up, so does innovation at observIQ. We are thrilled to announce a number of exciting updates for BindPlane, the industry’s first OTel-native telemetry pipeline. Read on for a summary of what’s new in BindPlane, themed and tuned with the excitement and energy of NBA Jam’s legendary announcer, Tim Kritzow.

5 Ways to Slash Storage Costs

Managing and storing vast amounts of data is no small feat, and can be a real drain on resources. Organizations often need to retain data for extended periods — sometimes up to seven years — to comply with regulations. It’s a common dilemma: data volumes keep skyrocketing, but budgets don’t follow suit. IT and security teams face immense pressure to handle this data deluge while navigating procurement pitfalls.

Navigating the Data Current 2024: Exploring Cribl.Cloud Analytics and Customer Insights

IT and security teams dealt with massive changes a few short years ago. New deployment environments added to the monitoring toil, while architectural shifts complicated IT operations’ cost and performance effectiveness. On the security side, the protected perimeter expanded exponentially. These factors resulted in a huge increase in data volumes and complexity, leading teams to turn to tooling and platforms to cope with their data.