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How to Attain Deep Network Device Coverage with SolarWinds Observability SaaS

Welcome to the first in a series of blog posts that will walk you through the key network monitoring and observability capabilities of the SolarWinds Observability SaaS option. Simplicity has always been at the heart of our product ethos, and our recent decision to bring our self-hosted and SaaS observability options under the single umbrella of SolarWinds Observability embodies this ethos.

A Dynamic Duo for Complex Embedded Environments

The world of embedded systems evolves, with devices growing ever more sophisticated and software-centric. In this new landscape, with highly interconnected environments that defy traditional testing and debugging approaches, a reactive, fire-fighting mentality is no longer sufficient. Developers need a proactive strategy to gain continuous visibility into system behaviour—a strategy known as observability-driven development (ODD).

Get deeper visibility into your AWS serverless apps with enhanced distributed tracing

Serverless or event-driven applications can comprise many different distributed components, including serverless compute services such as AWS Lambda and AWS Fargate for Amazon ECS, as well as managed data streams, data stores, workflow orchestration tools, queues, and more. Having full end-to-end visibility into requests as they propagate across all of these parts of your application is crucial to monitoring performance, locating affected up- or downstream services, and troubleshooting issues.

Optimize LLM application performance with Datadog's vLLM integration

vLLM is a high-performance serving framework for large language models (LLMs). It optimizes token generation and resource management to deliver low-latency, scalable performance for AI-driven applications such as chatbots, virtual assistants, and recommendation systems. By efficiently managing concurrent requests and overlapping tasks, vLLM enables organizations to deploy LLMs in demanding environments with speed and efficiency.

The Ultimate Guide to Cloud Logging

Cloud logging continues to grow in popularity and usage as more organizations transition to storing data in the cloud rather than on-premise storage. This is fueled, in part, due to the numerous advantages that can be gained from cloud logging. For example, cloud logging solutions can scale to increasing data volumes with ease as an organization grows.

Cribl and CrowdStrike Partner to Transform Data Management for SIEM Solutions

Cybersecurity is moving fast, and if your security data management strategy can’t keep up with your growth, you’re already behind. Security operations centers (SOCs) today face mountains of data spread across countless tools and platforms. Combine that with evolving cyber threats, and you have an environment that demands a smarter approach to SIEM data management.

Feature Friday #37: Decisions based on arbitrary semantic versions

Ever need to make a decision based on the version of something? The version_compare() function might be useful for you.1 Over time, software changes and features are added and removed. Sometimes, we need to make a decision based on versions. For example, the Include directive in ssh_config was introduced in OpenSSH 7.3.2 Let’s take a look at how we could possibly use it. This example illustrates the basic use of version_compare()