Whether you’re using InfluxDB to record massive amounts of historical stock market data to analyze the current economic trends or simply to monitor the number of times the lights in your smart home turn on and off to cut down on wasted electricity, a sudden shock or delay in the flow of incoming data can be detrimental to your operation in the majority of scenarios.
Cloud services are the number one source of unexpected overspending for companies today. As a result, cloud financial management is a major focus for most organizations. But how do you track the success of cloud efficiency? Full allocation of multicloud costs is a critical component for understanding your actual cloud services usage, establishing cloud cost management ownership, and creating accurate budgets and forecasts at the line of business, project, application and even team levels.
OK, so you want to sort your documents by something that can’t be implemented with Solr’s built-in functions. This calls for a custom function, which you can implement through your own ValueSourceParser. To address the elephant in the room, Elasticsearch and OpenSearch have script sorting. This is easier to implement, but not as close to Lucene. Though of course you can use a native script as well.
You’ve probably heard something like this before: “It’s a managed service! We don’t need to worry about anything!” But when it comes to your production workloads, database monitoring is imperative. With the new Snowflake Dashboards and Detectors in the Splunk Observability Content Contributors repository you can start seeing the details of individual Snowflakes.
Given the global health crises the world has faced over the last few years, the need for expeditious but accurate medical trials has never been more important. The faster clinical trial data is validated, the faster medicines get approved and treatments become available. Pinnacle 21’s customers are driving forces behind creating life-saving treatments.
Efficient manufacturing is important for saving companies time, money, and energy. Making decisions based on data can improve efficiency, but there’s a lot of data to sort through. Manufacturing equipment contains many sensors, especially in the IIoT space. Overall Equipment Effectiveness (OEE) was first described by Seiichi Nakajima in the mid-twentieth century as part of his Total Productive Maintenance (TPM) method.
Telegraf is a very powerful open source plugin-based agent that gathers data from stacks, sensors, and systems and sends it to a database. It collects data from an input and sends it to an output, and gives you the option to transform data with aggregators and processors before it reaches its endpoint.
In Enterprise Search 8.4, hybrid ranking for vector similarity is now available from the main querying endpoint, commonly known as the _search Elasticsearch endpoint. Introduced as a standalone query endpoint in 8.0, vector querying functionality (specifically, kNN vector similarity) greatly simplifies and accelerates the process of crafting and issuing queries that leverage the native vector querying capabilities of Elasticsearch along with the tried-and-tested traditional scoring algorithms.
