LLMs like GPT-4, Claude, and Llama are behind popular tools like intelligent assistants, customer service chatbots, natural language query interfaces, and many more. These solutions are incredibly useful, but they are often constrained by the information they were trained on. This often means that LLM applications are limited to providing generic responses that lack proprietary or context-specific knowledge, reducing their usefulness in specialized settings.

As federal, state, and local government agencies work to modernize their digital infrastructure and applications, managing costs effectively remains a constant challenge. Federal directives like Cloud Smart indicate the need for public sector IT organizations to track and optimize their cloud spends. However, as an organization’s IT environment grows in complexity, it becomes difficult to correlate cost data and extract useful insights.

Have you seen the new Groups feature in CFEngine Enterprise Mission Portal? It was first released in 3.23.0 and it’s part of the 3.24 LTS series released earlier this year, let’s check it out. Groups in Mission Portal can be based on any host reported data. They can be dynamic (hosts can come and go from a group) or they can be static and tied to specific hosts by hostname, mac address, IP or CFEngine’s public key.

Transactional monitoring is vital for businesses to protect digital assets. Now, you may be asking, what is web transaction monitoring?

We've written several times about our data stack here incident, but never about our underlying data warehouse and the design principles behind it. This blog post will run through the high-level structure of our data warehouse and then will go in-depth into the underlying layers.

Choosing the right data visualization and analysis platform is essential for gaining valuable insights, and while Kibana is a popular choice in the industry, it may not meet the specific needs of every organization. Whether you are looking for more cost-effective solutions, advanced features, or better scalability, there are several strong alternatives worth considering. In this guide, we will dive into the top 10 Kibana alternatives for 2024, highlighting what each option offers.

Maintaining optimal temperatures in data centers has become increasingly important as power densities surge, global temperature climb, and energy consumption rises. These challenges make data center temperature monitoring more essential than ever.

Garbage collectors in Java, along with other programming languages such as C# and Python, are automated processes that run in the background to free up memory. Garbage collectors routinely identify and reclaim unused memory to stop memory leaks (unused objects still being referenced) and make applications more efficient and faster for end users.

I’ve heard this story many times from production engineers: ‘We use tools like Datadog and NewRelic, but to keep costs from skyrocketing, we’re only monitoring our most critical services. We’re storing just 10% of our logs and traces and only the metrics we consider essential. It’s a frustrating situation. Engineers want full visibility across their systems, but cloud storage costs make it impossible to monitor everything.

Are you finding it challenging to control and secure the mobile devices used by your employees? The solution may lie in a deeper understanding of Mobile Device Management (MDM), particularly the difference between supervised and unsupervised devices. This seemingly small distinction can greatly impact how effectively you manage and secure your mobile fleet, influencing productivity, data protection, and overall compliance.