January 2016 Summaries

Kapacitor v0.10 introduces support for custom functions in any programming language via Protocol Buffer RPC, enabling users to write monitoring, alerting, and processing code through User Defined Functions (UDFs). The update also adds integrations with several popular alerting systems, including HipChat, OpsGenie, Alerta, Sensu, PagerDuty, Slack, and VictorOps. Additionally, Kapacitor now features a dead man's switch that can be configured to trigger an alert if a task doesn't receive data for a configurable duration. The next release will focus on expanding UDF integrations and improving stability and performance.

The InfluxDB v0.10 Release Candidate has been made available, featuring improvements such as a new default storage engine TSM, performance enhancements to the query engine, and incremental features for cluster refactoring. Kapacitor v0.10 introduces support for User Defined Functions for anomaly detection, new alerting integrations with HipChat, OpsGenie, and Alerta, and a Dead Man's Switch feature. Chronograf v0.10 Release Candidate brings template variables, globally applied time ranges, and the ability to use tags without duplicating visualizations across dashboards. The TICK stack is now ready for testing, and InfluxDB v0.10.0 GA is expected when quality is high enough to earn the label.

Chronograf has released a new release candidate (0.10.0-rc1) with support for template variables, allowing users to apply values across multiple queries. The feature includes templated time ranges and tags via the tmplTime() and tmplTagValue() functions, which can be used to simplify dashboard configurations by preventing the need to duplicate groups of visualizations across dashboards. The release candidate is still in development and should not be relied on in production. Users can download the code and get started with the RC or use the current stable version. Additional resources, such as the Chronograf docs and getting started tutorial, are available for help with setting up template variables.

InfluxDB has been featured in recent content, including training sessions, tutorials, and case studies showcasing its capabilities in data monitoring, real-time analytics, and IoT applications. Various companies such as Conductor, LambdaNow, and Bukalapak.com have successfully implemented InfluxDB in their production environments, praising its ease of use, scalability, and performance. InfluxData also hosts meetups and events, including the SF InfluxDB Meetup series, to connect with users and promote the platform. The company is seeking user success stories to feature on its website and social media channels, offering a complimentary hoodie as an incentive.

We are organizing an all-day training event in the Bay Area for developers interested in leveling up their InfluxDB knowledge, with two possible dates: Friday, Feb 19 or Saturday, Feb 20. The training will cover various aspects of InfluxDB and its ecosystem, including data fundamentals, configuration options, performance tuning, cluster administration, and backup practices. The event is expected to have a small class size, under 20 participants, and will be priced at $199 with early-bird tickets available for $149. Interested developers can vote on the training date via a Google Form and receive updates on registration when the Eventbrite page is live.

** InfluxDB, an open-source time-series database, has been featured in various applications and use cases, including ChatID's customer analytics and internal monitoring, Newmax Technologies' GPS tracking system Maxtrack, and Jolt's temperature monitoring hardware and cloud-based services. These companies have leveraged InfluxDB's scalability, fast query performance, and SQL-like query language to handle large amounts of data. Additionally, InfluxDB has been recognized as the #1 database by DB-Engines, with a growing community of developers and users contributing to its development and adoption.

Evan Kaplan has been named CEO of InfluxData, the leading open source time-series database for IoT, succeeding Paul Dix who will assume the role of CTO to help focus the company on delivering its TICK stack and managing time-series data at scale. Kaplan brings over 20 years of startup and big company leadership experience to the role, having previously served as CEO of iPass Inc. and founder of Aventail Corporation. InfluxData is uniquely positioned to deliver platforms that enable real-time insights from trillions of time-series based events in IoT systems, custom DevOps monitoring, and real-time analytics. With Kaplan at the helm, InfluxData aims to make its platform even easier to use and more tightly integrated with complementary open source technologies. The company will continue to focus on delivering its TICK stack, which consists of Telegraf, InfluxDB, Chronograf, and Kapacitor, to help organizations collect, store, visualize, process, and alert on time-series data in real-time.

I'm joining InfluxData, a company that has built a successful open-source time series database platform called InfluxDB, which is being used in various applications for real-time monitoring and analytics. The company was founded by Paul and Todd, two experienced entrepreneurs who started the company as Errplane and pivoted after their open source backend caught fire. I'm excited to work with the team, who are passionate about building a great product that enables developers to build even cooler stuff. With my background in entrepreneurship and experience running a successful startup, I'm looking forward to helping the company focus on building the product and platform, while also contributing to the open-source community. The company's mission aligns with my personal interests and values, and I'm eager to be part of a team that is making a significant impact in the DevOps space.

I'm Plushcap, your helpful AI assistant. The text discusses Paul Dix's excitement to announce the new CEO of InfluxData, Evan Kaplan, and his renewed focus on the company's products and technology after working closely with Evan. Paul met Evan at a Trinity Ventures office last September and was impressed by Evan's experience as an entrepreneur and his ability to facilitate effective communication between teams. After working together, Paul decided that Evan would be a great collaborator and mentor for InfluxData, and he is now more focused on delivering the components of the TICK stack, including clustering, storage engine, query functionality, and scaling out capabilities. With Evan's help, Paul is excited to deliver InfluxData's vision for IoT, sensors, and time series data, and he looks forward to working with his co-founder Todd Persen and new CEO Evan Kaplan to build a successful business.

InfluxDB v0.10 Beta has been released, featuring the Time Structured Merge Tree (TSM) as the default storage engine, which offers significant improvements in write performance and compression efficiency. The TSM engine supports online backups with offline restores, allowing users to easily manage their data. Additionally, InfluxDB is now built with Go 1.4.3, which has shown better performance in testing and real-world production workloads compared to the previous nightly release version. This beta release is intended for early testing and feedback from other workloads will help identify any potential issues.

Telegraf 0.10.0 has been released with several significant changes, including the introduction of fields instead of measurements, renaming plugins to inputs, and improvements to plugin parallelization. The new configuration options for inputs include name_override, name_prefix, name_suffix, and tags. The Linux package is also moving out of /opt to /usr/bin and /etc/telegraf. Users upgrading from Telegraf 0.2.x are advised to generate a new config file and inspect the differences between old and new configurations, as some plugins have substantially different configurations. Additionally, users will need to update their InfluxDB instrumentation and clients to query metrics in the new field-based format.