Understanding Splunk pricing is crucial for organizations evaluating SIEM solutions. This guide examines licensing models, actual costs, and essential pricing factors to help you make an informed investment decision for your security and monitoring needs.

A deeper look into our new, simplified navigation menu for Elastic Cloud Hosted deployments In recent years, the Elastic platform steadily expanded its features and capabilities to address complex and evolving customer needs. As a result, the left navigation became a vast array of over 100 menu items. While our customers deeply value this extensible toolset on a unified platform, daily users need a simple interface for quick access to commonly used tools.

Elastic Observability 8.16 announces several key capabilities: Elastic Observability 8.16 is available now on Elastic Cloud — the only hosted Elasticsearch offering to include all of the new features in this latest release. You can also download the Elastic Stack and our cloud orchestration products — Elastic Cloud Enterprise and Elastic Cloud for Kubernetes — for a self-managed experience. What else is new in Elastic 8.16?

The terminology used in the world of IT Service Management (ITSM) can be somewhat confusing. However, correctly understanding the scope and depth of each of its practices can be crucial for a company’s future. Today, we will explore one of those ongoing debates: CMDB vs. Asset Management. These two concepts have many similarities. In fact, they sometimes overlap. But they are not exactly the same thing. So, how do they differ? Primarily, in their scope.

The SolarWinds State of ITSM Report has arrived. To uncover key trends, challenges, and practices in today's IT Service Management (ITSM) landscape, we’ve analyzed over 2,000 ITSM systems and more than 60,000 aggregated, anonymized data points spanning 13 months from July 1, 2023, to July 31, 2024. Here are a few things we found interesting.

If you have ever faced performance issues in an application, whether it's sluggish load times, long processing delays, or poor scalability you have probably been told that optimizing the code or database is the solution. But what does that really mean in practice? A lot of the time, it boils down to one of two causes: either a poorly optimized algorithm (often with quadratic or exponential time complexity) or an inefficient database query.

Kubernetes offers the ability to scale infrastructure to accommodate fluctuating demand, enabling organizations to maintain availability and high performance during surges in traffic and reduce costs during lulls. But scaling comes with tradeoffs and must be done carefully to ensure teams are not over-provisioning their workloads or clusters. For example, organizations often struggle with overprovisioning in Kubernetes and wind up paying for resources that go unused.

While overprovisioning Kubernetes workloads can provide stability during the launch of new products, it’s often only sustainable because large companies have substantial budgets and favorable deals with cloud providers. As highlighted in Datadog’s State of Cloud Costs report, cloud spending continues to grow, but a significant portion of that cost is often due to inefficiencies like overprovisioning.

Custom resources are critical components in Kubernetes production environments. They enable users to tailor Kubernetes resources to their specific applications or infrastructure needs, automate processes through operators, simplify the management of complex applications, and integrate with non-native applications such as Kafka and Elasticsearch.