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The What, Why, and How of Time Series Databases

This article was written by Thamatam Vijay Kumar. Scroll down for author bio and photo. Modern-day websites are filled with dashboards featuring enriched charts, line graphs, radar as well as multigraphs. The world is fascinated with such charts and graphs, which deliver much value to millennial web applications. There are many such chart libraries which provide interactive visualization and deliver data insights for users. The charts plot the lines using data points.

How Ekopak Manages Water Treatment Data with InfluxDB

A wide variety of industrial processes rely on water, and before it can be used, it needs to be treated to remove dissolved substances. Minerals have to be filtered out so they don’t form scales on equipment as water is heated and cooled, and bacteria needs to be removed in cases involving human health. Ekopak is a Belgian company working to make water treatment more sustainable by using less water and energy where possible.

Obtaining and Storing Time Series Data with Python

In this tutorial we’ll learn how to use Python to get time series data from the OpenWeatherMap API and convert it to a Pandas DataFrame. Next we’ll write that data to InfluxDB, a time-series data platform, with the InfluxDB Python Client. We’ll convert the JSON response from our API call to a Pandas DataFrame because I find that that’s the easiest way to write data to InfluxDB.

Measuring Cloud Instance Costs for FinOps

Achieving cost savings is one of the main drivers for cloud adoption. But for most companies, controlling cloud spend is much more challenging than anticipated. In a recent survey, 94% of IT decision makers report they are overspending in the cloud. Our own survey on cloud costs revealed 90% of executives say better cloud cost management and cost reduction is a top priority.

How to: Deadman Check to Alert on Service Outage

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.

FinOps: Measuring Allocatable Cloud Spend

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.

Writing a Custom Sort Plugin for Solr

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.

Snowflake DB: Observing a Snowflake From Cloud to Chart

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.

Webinar Highlights: Improving Clinical Data Accuracy - How to Streamline a Data Pipeline Using Node.js, AWS and InfluxDB

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.

What Is Amazon Redshift?

Amazon Redshift is a fast, scalable data warehouse in the cloud that is used to analyze terabytes of data in minutes. Redshift has flexible query options and a simple interface that makes it easy to use for all types of users. With Amazon Redshift, you can quickly scale your storage capacity to keep up with your growing data needs. So if you’re looking for a powerful data warehouse that’s easy to use, Amazon Redshift is the perfect solution.