February 2017 Summaries

To set up Kapacitor and Chronograf to send alert messages to HipChat, users need their HipChat subdomain name, room name, and API access token. The `enabled` setting in the Kapacitor configuration file should be set to true, with the `url` setting set to the HipChat subdomain URL. In the TICKscript, the `.hipChat()` attribute should be included, along with the room and token attributes. Chronograf offers a user interface for working with Kapacitor, allowing users to easily create alert rules and send alert messages to event handlers like HipChat. To configure Chronograf, users need to select HipChat from the dropdown menu, enter their subdomain, room, and API access token, and click the Save button.

InfluxDB Week in Review Feb 20, 2017 InfluxDB 1.2 was recently released with improved subqueries and write throughput, addressing exploding demand for monitoring solutions. The platform is being used by companies like La Redoute to monitor real-time health of Tibco EMS queues, leveraging its time series fast treatment and retention policies efficiency. InfluxDB is also being featured on influxdata.com, where users can submit their applications or products using the platform in production, potentially receiving a shout out on social media and an InfluxDB hoodie as a thank you gift. Additionally, the company is hiring and offering upcoming virtual training, while exploring velocity and maturity in its technology. The platform's growing popularity has led to high demand for monitoring solutions, with companies like La Redoute benefiting from its efficiency.

InfluxDB's fill() function can be used to eliminate blank field values in query results, with options including replacing values with the numerical value of choice, linear interpolation, or previous interval values. InfluxQL also supports subqueries, allowing users to calculate the sum of differences between min and max values in a field by wrapping the calculation in parentheses. Additionally, InfluxDB now offers free downloads for the TICK-stack, cloud deployments, server deployments with a 14-day trial, and a storytelling initiative featuring over 300 companies that have benefited from using InfluxDB.

InfluxDB Week in Review Feb 13, 2017` The week's highlights included the release of InfluxDB version 1.2, which introduced subqueries and improved write throughput by 50% on larger hardware. Additionally, there were several other announcements, including a blog post on setting up InfluxDB with Grafana for storing Arduino sensor values, as well as an exploration of exploding demand for monitoring solutions. The company Acens highlighted the benefits of using InfluxDB, citing its ability to store large amounts of metrics in a small space and provide high-speed access. Furthermore, InfluxDB was featured in several testimonials, including one from Acens, a cloud service company based in Spain, which uses InfluxDB with Grafana for its production applications. The week also included calls to action, such as claiming an InfluxDB hoodie and participating in upcoming live webinars and virtual training sessions.

InfluxDB has specific naming guidelines for its database, measurement, tags, and fields to ensure efficient querying and data storage. The `time` keyword can be used in various contexts but requires special handling when used as a field key or tag key. To select data with a tag that has no value, an empty tag value can be specified using double quotes. When writing data to InfluxDB, the precision of the timestamp matters, and using the coarsest possible timestamp precision is recommended for optimal performance.

The technology landscape is experiencing an inflection point, driven by the adoption of containers and digital transformations, resulting in a significant increase in monitored workloads. InfluxDB was built to handle both regular and irregular time-series data, including metrics sampled at recurring intervals and transient events occurring at specific times. As organizations consider digital transformations, they are triggering a refresh cycle related to monitoring solutions, highlighting the need for more effective monitoring systems that can keep pace with changing IT architectures. The exploding demand for monitoring solutions underscores the importance of having a robust monitoring system in place to support business requirements and ensure data-driven decision-making.

InfluxDB has released version 1.2, which includes subqueries and improved write throughput on larger hardware. This release aims to enhance performance and scalability in time series databases. TechGuru Series, a company that uses InfluxDB for monitoring internal production systems, has reported significant improvements in performance after migrating from MySQL to InfluxDB. The company leverages InfluxDB's ability to handle large amounts of data quickly and efficiently. InfluxData is seeking new talent and invites users to participate in upcoming live webinars and virtual training sessions. The company also features user testimonials, including TechGuru Series, which has seen improved performance with InfluxDB, and encourages companies using InfluxDB in production to submit their stories for a chance to receive an InfluxDB hoodie and social media recognition.

InfluxDB, an open-source time series database, has introduced new features in its version 1.2 CLI that require users to explicitly set the target retention policy for writes. This change aims to improve clarity and consistency in data management. Additionally, querying a retention policy can be tricky, as the default behavior is not always what it seems. Users are advised to clear any existing retention policies before setting new ones. InfluxDB also emphasizes the importance of security, recommending users check out its Security Best Practices pages for tips on keeping their data secure when installing with public internet access.