Today we’re very excited to announce the public beta of Influx Enterprise. This release includes high availability and scale out clustering for InfluxDB along with management features for the cluster, performance monitoring, and an all new Chronograf Data Explorer interface for quickly digging into your time series data. During the beta we’re giving unrestricted cluster sizes and features for testing and preview.
Influx Enterprise Features
The Enterprise release of InfluxDB has features for high availability and scale out clusters with the ability to move data around and restore from outages. An InfluxDB cluster is set up in two tiers: Meta servers and Data servers. The Meta Servers contain all information about the cluster, databases, users, and shards in the cluster. The Data Servers hold all the raw time series data along with metadata for what measurements, fields, and tag key/value pairs exist. The Data Servers are also responsible for handling all queries and writes.
Influx Enterprise clustering has rebalancing functions for moving shards of data from one server to another, giving users the ability to recover downed nodes, expand the cluster, increase the replication factor, or offload historical data to servers with lower priced spinning disk storage. The cluster is also able to add and remove either Data or Meta nodes with a command from the command line.
The Enterprise product has expanded role based access control, giving administrators finer grained control over what users can do on databases and within a cluster.
The Enterprise Web application is a web UI for looking at the performance of the cluster including how many writes and queries are being processed along with average query latency. Enterprise Web also has a screen for looking at long running queries and the ability to kill queries with a single click. User and role management can also be handled from the Web UI.
Finally, the Enterprise Web UI features a brand new version of Chronograf that is focused on data exploration. It gives regular users the ability to drill down in their measurement, tag and field data while drawing multiple graphs on a page and customizing what aggregate functions and which tag key/value pairs show up in the graph. We think it’s an easy way for non-experts to start looking at their time series data on the fly. Administrators can also give users access to this feature without giving them access to the rest of the administrative UI.
For an extend demo of InfluxEnterprise, check out the webinar playback from earlier this week here. Continue reading Announcing InfluxEnterprise Beta: Clustering, Monitoring & Data Exploration for InfluxDB
The team at InfluxData is excited to announce the immediate availability of InfluxDB 1.0 Beta plus the rest of the components in the TICK stack: Telegraf, Chronograf, and Kapacitor. While there are many new features like exponential smoothing via Holt Winters queries, templates for Kapacitor TICKscripts, Telegraf Cloudwatch integration, and dozens of bug fixes, this release marks a significant point in the development of these projects.
We’ve had customers and community members running the TICK-stack in production at significant scale for months and we are therefore comfortable that the quality of the codebase is worthy of the 1.0 moniker. Second, we’re ready to lock down the API and make a commitment to zero breaking changes for a significant length of time. This is especially important for organizations building products and services on top of the InfluxData stack whose products may have longer development cycles or require a higher degree of stability from the code base to ensure continuity for their customers and users.
Getting to 1.0 GA
This release is the first Beta of the upcoming 1.0 GA release. We still have some known bugs to fix, but from here until 1.0 we’ll be focused on testing, benchmarking and bug fixes. What about new features? They’ll come in the point releases after 1.0. For community members, this Beta is what you should be testing against. For some users, the Beta may even be suitable for production use. Many fixes have gone into all the projects since the 0.13 release nearly 4 weeks ago. Continue reading Announcing InfluxDB 1.0 Beta – A Big Step Forward for Time-Series
Today we’re excited to announce the immediate availability of fully managed InfluxDB clusters on AWS! This is the fastest way to get a highly available, scalable InfluxDB cluster up and running. We’re launching in all of Amazon’s US and EU regions with storage sizes ranging from 16GB to 256GB (larger setups are available by contacting sales). Plans start at just $149 per month with a 20% discount if you commit to a year up front. Read on for more details or sign up and get your cluster up and running in just a few minutes!
The InfluxCloud service manages and distributes data and queries to a number of InfluxDB servers we call Data Nodes. We handle all consensus and coordination for you behind the scenes. As a user you’ll get a single Elastic Load Balancer endpoint to write and query data from.
With an ELB it means you won’t have to worry about failing over to another server, it’ll happen automatically. Retry logic within your client should be enough to give you a highly available setup.
Most of our offerings have two Data Nodes so our users can create retention policies with a replication factor of two to ensure they’re up and running even if one of the nodes goes down. The largest configuration gives the user four Data Nodes with a replication factor of two to split data across.
Later this year we’ll offer multi-region clusters and replication. (Contact sales if you’d like to learn more about availability.) At launch time clusters are a fixed size, but the functionality to scale out a cluster will be added automatically in the coming months. This means you’ll be able to add Data Nodes to your configuration as needed to scale out to meet your storage or throughput needs. Continue reading Announcing InfluxCloud – Fully Managed InfluxDB Clusters on AWS
Evan Kaplan assumes role of CEO to help scale and focus company on the Internet of Things
San Francisco, CA, Jan 14, 2016 – InfluxData, the leading open source time-series database for IoT, has announced that Evan Kaplan will assume the role of CEO, with founder Paul Dix taking on the role of CTO. Evan Kaplan spent the last 6 months as the Entrepreneur in Residence at Trinity Ventures, an investor in InfluxData.
“Evan brings over 20 years of startup and big company leadership experience to InfluxData,” said Dan Scholnick, General Partner at Trinity Ventures. “The timing couldn’t have been better for Evan to join the InfluxData team. His skills around helping build big businesses are a perfect complement to Paul’s technical acumen. It will be very exciting to see InfluxData’s big ideas around time-series data evolve in the coming months to become to IoT what MySQL was to the web.”
Continue reading InfluxData Announces Change in Executive Leadership
Last week was my first week at InfuxData’s headquarters in San Francisco. 150 Spear is the second office I have visited during the short time I have been working with Paul and Todd (our founders) and the InfluxData team. It’s a great space with a beautiful view of the Bay Bridge and filled with people who care deeply about building cool stuff that other developers can use to build even cooler stuff. In this case the cooler stuff is the wide selection of sensor monitoring and real time analytics that are driving the IOT revolution. Quite frankly its inspiring to see the next generation of applications that people are building using InfluxDB and the TICK stack and I am incredibly excited to join the team.
Continue reading My Journey to InfluxData – Evan Kaplan