Search engines are one of those things in life we take for granted. Whenever we’re looking for something, we throw a word or phrase into a search engine and, like magic, it gives us a list of matching results. It might not feel as magical nowadays because it’s something we do every day. But anyone who remembers the days of Alta Vista should understand how well we have it now.

When investing in technology, organizations should look for products and services that get them the best bang for their buck. So, who comes out on top when investing in search and logging solutions? Elasticsearch® surpasses OpenSearch in cost efficiency.

Are you drowning in data from disparate sources? Are you struggling to analyze it efficiently, sift through different formats, and catch crucial signals? You’re not alone. Cribl Search and Cribl Stream is a powerful combo that lets you unlock insights from vast data volumes – regardless of their source or format. Say goodbye to siloed searches and hello to holistic analysis.

Artificial intelligence tools are everywhere, and it’s no mystery why. They can carry out a huge variety of tasks and find the solutions to many everyday problems. But these apps are only as good as their AI search algorithm. In simple terms, an AI search algorithm is the decision-making formula an AI tool uses to find the optimal solution to your specific problem. Search algorithms may make trade-offs between speed, relevance, or another weighted factor.

After an incredibly fast-moving 2023, what does the future hold for AI and search? Conversational generative AI leapt into the public consciousness over the past year, and organizations scrambled to define their strategy for capitalizing on the trend. AI-boosted relevance is reshaping the way users experience search — and elevating their expectations for the quality of the interaction.

Remember when you were a kid and your school put on a production of the latest grade school drama? Maybe you didn’t get the lead role, but it was fun to put on (or watch) the show. Search Sandboxes are just like that! Except you get to be the stage manager when searching data. And Search Sandboxes offer you everything you need to make it an all-star performance.

OpenTelemetry is starting to gain critical mass due to its vendor neutrality and having worked in the APM space for the last five years. I can see the appeal. Using OpenTelemetry libraries to instrument your code frees you from putting vendor libraries in your codebase. The other challenge most customers face is balancing cost versus visibility. While effective, most APM solutions are costly.

“Half the time the toilet’s out of reach – the other half it’s out of order”. –Arthur C. Clarke, Report on Planet Three and Other Speculations.

In the ever-evolving landscape of data management and analytics, the integration of Python with Elasticsearch stands out as a game-changer. Elasticsearch, renowned for its robust distributed search and analytics capabilities, finds a powerful ally in Python through the Python Elasticsearch client. Elasticsearch is an open-source, distributed search and analytics engine known for its scalability and real-time capabilities.