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In the News: APMdigest | InfluxDB 1.7 Adds Query Performance and Data Compaction Enhancements

Permalink - Posted on 2018-11-07 19:03, modified at 19:25

Publication: APMdigest
Title: InfluxDB 1.7 Adds Query Performance and Data Compaction Enhancements

Abstract: In this article, APMdigest covers InfluxData’s announcement of November 7 regarding the release of InfluxDB 1.7. The new release delivers major query performance and data compaction enhancements to the Time Series Database, which  is used as a data store for use cases involving large amounts of time-stamped data—including DevOps monitoring, application metrics, IoT sensor data, and real-time analytics. The article notes that open source InfluxDB 1.7 delivers major improvements around query performance and throughput when using the Time Series Index (TSI), which supports large numbers of unique time series data. Tim Hall, InfluxData VP of Products, is quoted as saying: “Performance, data compaction and Time Series Index improvements help InfluxData maintain its leadership position in this category by delivering superior performance and meeting the advanced needs of the developers.”

 

Read full coverage

The post In the News: APMdigest | InfluxDB 1.7 Adds Query Performance and Data Compaction Enhancements appeared first on InfluxData.


Chronograf 1.7 Released: Flux Query Builder, Predefined Dashboards, and Scoped Annotations

Permalink - Posted on 2018-11-07 16:00, modified at 04:24

One of the most powerful things about working at InfluxData is the amazing open source community that is constantly using our software in new and exciting ways. With the latest release of Chronograf, we took a look at what our users were doing with our software and made it easier and more powerful than ever.

The latest release can be found on our InfluxData Downloads page.

Predefined Dashboards and Simple Source Configuration

Let’s start with setting up Chronograf. We’ve added a step-by-step guide for adding your first InfluxDB and Kapacitor connections into Chronograf. To help users get started with building dashboards, we’ve also added predefined dashboards that you can import into Chronograf and use as a starting point to build the dashboard of your dreams. Available dashboards include MySQL, VMware vSphere, Kubernetes, and many more. These are populated via the corresponding Telegraf input plugins. Not sure which plugin to use? The new “notes on dashboards” feature (see below) provides explicit guidance on which plugins to use.

Explore Your Data and Send It Directly to Dashboards

The Data Explorer page has been completely overhauled with some great new features. You can now select any data source to run your query against without leaving the page, or you can choose a dynamic source, which is the data source Chronograf is currently connected to.

In addition, you can now also select any visualization type instead of just a line graph or a basic table. You can use the table graph type to explore tabular data without having to create a cell in a dashboard.

We’ve also added the ability to take the query you’ve been working on in the Explorer and publish it directly to one or multiple dashboards.

There are a ton of other smaller enhancements as well that make exploring your data much easier.

Full Flux Query Support for Exploration and Dashboards

For those of you using InfluxDB 1.7 and exploring the technical preview of Flux, we’ve added a corresponding technical preview of a completely dedicated Flux script builder to Chronograf which allows you to explore this powerful new language. We took all the great feedback received from our initial demos at InfluxDays London and incorporated it into a powerful builder.

There are a few ways to get started with building your first Flux query. The easiest way is to use the Script Wizard to select what you want to query. We build a starter script for you to modify as you get more comfortable with the language. The Schema window allows you to select the field you want to query and builds the Flux script for you.

Finally, once you’ve got the basics down, you can use the Function Explorer to discover other Flux functions and add them to your script.

One other really useful feature to take advantage of is the Raw Data view. This gives you a view of the annotated CSV data returned from your Flux query to give you an idea of how to transform your data.

Here’s a quick tip: You can submit a Flux query using the control + enter keyboard shortcut which triggers “Run Script”.

Notes on Dashboards and Scoped Annotations

Dashboards have a few new features as well. The first one is the ability to add notes to any dashboard cell in Chronograf. Notes can help others using your dashboard understand the data being queried, and more importantly, what to do if things go wrong. These notes support full Markdown syntax, which means you can link to other tools or even add images! In addition to adding notes to existing cells, we also have a Notes graph type that lets you just add text to your dashboards.

We’ve added the ability to scope annotations using the same tags as your data. This allows you to filter only annotations for a specific host, service, cluster, or any grouping you’d like. For dashboards which make use of template variables, this makes annotations significantly more useful. This is particularly true when multiple people are using the same dashboard, but are creating annotations based on different template variable values.

Wrapping Up

There are many other improvements to Chronograf including a faster, more powerful Log viewer, improvements to the Alert Rules page for switching between multiple Kapacitor instances, and much more.

Chronograf has an amazing community of users that provide valuable feedback to the team on the features we are building. This release adds some impressive new features to Chronograf while making some of the activities our users do every day much easier. We hope you’ll love this latest release of Chronograf, and we look forward to hearing from you on what we can make better.

The post Chronograf 1.7 Released: Flux Query Builder, Predefined Dashboards, and Scoped Annotations appeared first on InfluxData.


Release Announcement: InfluxDB 1.7.0 and Chronograf 1.7.0

Permalink - Posted on 2018-11-07 13:00, modified at 04:31

New feature-bearing releases for InfluxDB and Chronograf are available now.

Key feature highlights from the InfluxDB release include:

  1. Performance Improvements
    • Query performance and throughput improvements have been made to the Time Series Index (TSI). This set of improvements boosts the performance of queries in several ways. Queries against indexes with many series sharing the same tag pairs will see faster index planning times. Queries that include previously queried tag pairs will see reduced index planning times due to the TSI index now being able to cache partial index results for later reuse. These improvements require a change in the on-disk TSI format to be utilized. So to take advantage of these improvements, consider rebuilding your indexes (for older shards, this is required) or waiting for a TSI compaction of your current shards/indexes, at which point the new format will be applied.
    • Shard compaction performance has received a significant boost, and this should reduce the resources required to complete the compaction process. In addition, new compaction configuration parameters have been added which allow users to rate limit the compaction process. This fine-tuning is particularly useful for deployments where there are resource constraints, such as IoT edge deployments.
  2. Technical Preview — Flux v0.7
    • Flux is now available for interactive query within the 1.7 release of InfluxDB. This new functional query language unlocks new capabilities within InfluxDB. Direct access is available through the API and via the InfluxCLI which now includes a Flux Read-Eval-Print-Loop (REPL) as well. Flux delivers on a number of long outstanding feature requests for InfluxDB. But it is a technical preview for now and will change and evolve. Additional blog posts will describe how to take advantage of Flux. Documentation for the language is also available now. Please visit the InfluxData Community site to provide feedback on the language and your experiences.

The Chronograf release has a number of new compelling features in addition to user interface improvements, and defect fixes. Please refer to the release notes for specifics:

Key feature highlights from the Chronograf release include:

  1. Feature Additions
    • New Predefined Dashboards for Kubernetes, VMware vSphere, MySQL and more – We have redesigned how you configure a new InfluxDB source in the latest Chronograf to make it more intuitive for new users. As part of this, we allow the user to import predefined dashboards to get them up and running faster. These dashboards are designed to work with specific Telegraf plugins, and have helpful instructions for configuring those plugins in case some measurements are missing.
    • Markdown Notes on Dashboards – Sometimes, it’s useful to add comments to your dashboards before sharing them with the rest of the team. We have added the ability to add markdown notes to any cell in Chronograf, as well as a new Notes graph type. Now you can instantly jump to documentation when there are specific problems, or create a list of links to other internal tools in your dashboard.
    • Scoped Annotations – Up until now, annotations have been global for all cells. Now you have the ability to add tags to annotations and filter by those tags. For example, you might want to add a specific hostname to an annotation, and only display annotations for that hostname. We made this as flexible as possible, so that you can create the groupings of annotations that make sense for your team.
  2. UI Improvements
    • Data Explorer Improvements
      • Quickly switch to any source you have configured directly from the Data Explorer page.
      • Leverage any visualization type to explore your data as needed.
      • Send explore queries directly to dashboards from the Data Explorer.
      • View template variable substitutions in your query to see exactly what is being executed.
    • Dashboard Improvements
      • When adding a cell, you specify the query first, and worry about the position later.
      • New button for managing and searching for annotations by tag.
    • Users can switch between different connected Kapacitors directly from the Alert Rule page.
    • And many more!
  3. Technical Preview — Flux Builder
    • Chronograf fully supports the Flux v0.7 language for exploring your data as well as building dashboards. In the Data Explorer page, when you select a source that has Flux enabled, you will be able to switch to the new Flux builder. If you’re new to Flux, you can get started with your first script by using the simple wizard, or browsing your schema and selecting the field you want to graph. Once you have the basic query, use the Functions List to see more information about the capabilities of Flux and add examples to your script. While building out your query, it might help to switch to the Raw Data view to see the annotated CSV data being returned. Also, try using the handy keyboard shortcut of control + enter to submit your Flux query after each change.

The binaries for the latest open source release can be found on our downloads page.

The InfluxDB Enterprise 1.7 release will be tested within our InfluxCloud environment first. Based on testing and completion of the integration of Flux with InfluxDB Enterprise, we will release this version later this month. Stay tuned!

The post Release Announcement: InfluxDB 1.7.0 and Chronograf 1.7.0 appeared first on InfluxData.


Press Release: InfluxData Time Series Database Extends Industry Lead with Performance and Data Compaction Enhancements in Latest Release

Permalink - Posted on 2018-11-07 13:00, modified at 04:29

 

 

 

FOR IMMEDIATE RELEASE

 

Contact:
Dan Spalding, InfluxData
408-960-9297 | dan.spalding@influxdata.com 

Company Also Launches Technical Preview of Industry’s First Purpose-Built Functional Query Language for Time Series Data Ready for Developer Community Trial and Feedback

SAN FRANCISCO — Nov. 7, 2018 — InfluxData, the modern Open Source Platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced the release of InfluxDB 1.7, delivering important query performance and data compaction enhancements to the leading Time Series Database. Announced at InfluxDays SF 2018, this new functionality gives developers powerful tools they have been asking for to query and process time series data used for monitoring IoT, DevOps, cloud, containers, and real-time analytics data.

InfluxDB is InfluxData’s Time Series Database used as a data store for any use case involving large amounts of time-stamped data – including DevOps monitoring, application metrics, IoT sensor data, and real-time analytics. These enhancements announced today, as recommended by the community, further the gap between the functionality of InfluxDB – recognized as the overwhelming leader among Time Series Database management systems, according to DB-Engines’ latest results – and the competition.

InfluxData has also announced the technical preview of Flux, the industry’s first purpose-built functional query language for time series data. Flux combines data query and processing in a single powerful and extensible open source language, which is enriched through user contributions. Developers are encouraged to use Flux and provide feedback to help shape the future of the time series data scripting.

“InfluxDB is one of the most popular data sources for Grafana, and Flux is a powerful query processing engine, so we were excited to develop a first-class integration for Flux,” said David Kaltschmidt, Director, UX, Grafana Labs. “The Flux plugin comes with a new query environment which includes syntax highlighting, tag completion, raw table preview, and inline function documentation to help you get the most out of using Flux with Grafana.”

The open source InfluxDB 1.7 delivers major improvements around query performance and throughput when using the Time Series Index (TSI), which supports large numbers of unique time series data that is ephemeral and stored in Time Series Databases.

The technical preview for Flux is available today for developers’ trial and feedback. A getting started guide is available now from https://bit.ly/2qph9Xx which provides specific examples along with a reference for the language semantics. Developers are encouraged to use the InfluxData community site (https://community.influxdata.com) to ask questions and share experiences. To launch the Flux technical preview, InfluxData will host Office Hours today at InfluxDays SF 2018 to continue efforts towards finalizing the language, address questions, and take additional feedback.

“Performance, data compaction and Time Series Index improvements help InfluxData maintain its leadership position in this category by delivering superior performance and meeting the advanced needs of the developers,” said Tim Hall, VP of Products. “InfluxData has been working closely with the developer community in defining the Flux language. We look forward to developers downloading Flux, using it and providing us with useful feedback to help make the language a success.”

Metrics, events, and other time-based data are being generated at an exponential rate, as there is a growing requirement for analyzing today’s complex environments. The InfluxData Platform provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications.

InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 450 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.

Availability
InfluxDB 1.7 is available today. It is available for download at https://portal.influxdata.com/downloads .

About InfluxData
InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 450 customers include CiscoeBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

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InfluxData, InfluxCloud, InfluxDB and InfluxEnterprise are all trademarked by InfluxData. All other trademarks are the property of their respective owners.

The post Press Release: InfluxData Time Series Database Extends Industry Lead with Performance and Data Compaction Enhancements in Latest Release appeared first on InfluxData.


InfluxData Roadshows Coming to Europe This December

Permalink - Posted on 2018-11-06 17:00, modified at 19:38

InfluxData Roadshows are coming to Europe this December! Our recent roadshows held in several US cities were very well-received. Based on their tremendous success, we’re hitting 3 European cities—Munich, Berlin and Amsterdam—all in the first week of December 2018. Many of our most passionate and innovative users are in Europe, and this one-day event series targets local users who reside near the roadshow location. In all 3 of these European roadshows, InfluxData VP of Products Tim Hall will be presenting. InfluxData Roadshow will expand to other major European cities next year.

The ultimate aim of InfluxData Roadshows is to bring our time series data platform closer to our user community. As this community has grown significantly across the globe, roadshows are a great way to bring InfluxData’s product leadership closer to the Platform’s actual users. Whether deploying our open-source, enterprise or cloud solutions, our users have one thing in common: they care deeply about Metrics and Events and are always on the lookout for better ways to use them to observe system and application behavior.

Bringing our time series data platform closer to our user community

Why Attend InfluxData Roadshows?

The InfluxData Roadshow creates a dialog where InfluxData highlights the new features and roadmap while getting feedback from developers, SREs, IoT admins etc. It is a unique hands-on experience for using the industry-leading Time Series Platform. This event is focused on educating and enabling attendees to instrument and automate any system, application and business process across a variety of use cases.

Sessions cover everything from InfluxData’s vision for the platform to some of the latest customer case studies showing how organizations are finding new ways to derive value from time series data. There are always sessions which discuss architecture and best practices for delivering a robust platform. Those of you who live on the bleeding edge will want to learn about our Technical Roadmap and what to expect.

InfluxData Roadshow featuring a broad range of presentations

Register Today

In or near Munich, Berlin or Amsterdam in the first week of December? Click here to register. Seats are limited, and registration is on a first-come-first-serve basis. Don’t miss out on this chance to learn how to power your apps with time series data!

The post InfluxData Roadshows Coming to Europe This December appeared first on InfluxData.


Press Release: Playtech Deploys InfluxData to Power Predictive Monitoring and Alerting System for Distributed Global Gaming Network

Permalink - Posted on 2018-11-06 13:00, modified at 04:20

 

 

 

FOR IMMEDIATE RELEASE

 

Contact:
Dan Spalding, InfluxData
408-960-9297 | dan.spalding@influxdata.com 

Global Gambling Technology Company Leverages InfluxDB for Visibility and Early Detection of System Outages, Network Anomalies and Security Breaches

SAN FRANCISCO — Nov. 6, 2018 — InfluxData, the modern Open Source Platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced that Playtech has deployed its InfluxDB Time Series Database for improved network observability for a deeper understanding of system behavior and causes, relationships between system components, and needed actions of its distributed global gaming network.

Playtech is the gambling industry’s leading technology company delivering business intelligence driven gambling software, services, content and platform technology across the industry’s most popular product verticals – including casinos, sports betting, virtual sports, bingo and poker. It is the pioneer of omni-channel gambling technology through its integrated platform technology, Playtech ONE, which delivers data-driven marketing expertise, single wallet functionality, CRM and responsible gambling solutions in one single platform across product verticals, retail and online. The company has approximately 5,800 employees in 17 global offices, with more than $1B in revenues.

“Due to the high complexity and the huge amounts of adjustable settings of our system, we decided to build it as a set of microservices which allows us to define the responsibilities of each component, perform distributed deployments, and monitor all this activity with InfluxDB,” said Aleksandr Tavgen, technical architect at Playtech. “Before InfluxData we didn’t have insight into non-obvious behavior of users. Now we track and monitor our partners and their end users in real time, looking for behavior changes and gathering important metrics from the data to prevent outages and malicious behavior.”

Playtech’s previous solution did not meet all of the team’s needs and they were looking for even more precise early performance predictions than previous solutions were capable of delivering for their production gambling system across more than 50 sites, with many brands located in different parts of the world. Each location uses many products, services, configurations, mixes of configurations and backends. Even minor errors or oversights in a configuration file or certificates problems could significantly disrupt services.

Using InfluxData, Alerta, and Grafana, Playtech’s new system combines monitoring and alerting of time series data for business indicators and key performance indicators. The system delivers beyond monitoring with observability for a deeper understanding of system behavior and causes, relationships between system components, and needed action up to 15 minutes faster than the previous system. Early detection of malicious attacks and outages has proved critical to Playtech’s business, since it now detects any attempted security attacks to guess passwords or usernames, as well as service-start problems with earlier visibility into activities which may cause performance to degrade.

“Now we have the needed visibility into our platform connections and global customer activities to understand system behavior to predict possible outages and problems in the very early stages,” said Tavgen. “We can check on all problems, such as third party integrations that are broken, not just security alerts and threats, and the teams can escalate these issues quickly. InfluxData is widely adopted by the community, and it is fast and reliable, and comes with great support.”

InfluxData was chosen to work with Playtech’s machine learning systems to improve visibility issues, and has since been widely adopted by Playtech’s community across the globe. Now critical incident teams fully monitor and pull information from all over the world 24×7 using InfluxData, and depending on the problem they can take action. Playtech’s operations also involve financial transactions in highly regulated markets which demand high-level monitoring of their distributed systems for analyzing financial data, and keeping the information secure.

“Currently we have plans to create business intelligence in real time to share with our 5,000 customers licensing our technology, using InfluxData to extend the service out to them,” said Tavgen. “The information InfluxData gives us is very helpful, particularly at monitoring and altering us about non-obvious behavior.”

Metrics, events, and other time-based data are being generated at an exponential rate, as there is a growing requirement for analyzing today’s complex environments. The InfluxData Platform provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications. Its InfluxDB database is the overwhelming leader among Time Series Database management systems, according to DB-Engines’ latest results published earlier this quarter.

InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 450 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.

About InfluxData
InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 450 customers include CiscoeBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

###

InfluxData, InfluxCloud, InfluxDB and InfluxEnterprise are all trademarked by InfluxData. All other trademarks are the property of their respective owners.

The post Press Release: Playtech Deploys InfluxData to Power Predictive Monitoring and Alerting System for Distributed Global Gaming Network appeared first on InfluxData.


When Values Align: Why I Joined InfluxData

Permalink - Posted on 2018-11-01 18:07, modified at 18:11

I’m excited to announce that I’ve joined the InfluxData team as a Developer Advocate! Prior to joining the team I worked as a backend developer, and prior to becoming a developer I practiced law in Southern Louisiana, mostly doing criminal work. The combination of my advocacy and engineering skills makes this position a perfect fit for me, and I’m honored to be joining a team of passionate and innovative individuals.

It’s a tradition here at InfluxData to publish a post about why you joined the team. I think it’s a wonderful tradition, and I’m happy to be a part of it. So here goes!

As a developer, I used to think it didn’t matter what product I worked on as long as I worked with great people. While it’s true that having a great team is important, I’ve learned over time that I have to be working on something that contributes to the industry, and the world, in a meaningful way. InfluxData builds products that do exactly that.

Large datasets are becoming commonplace, and the tools we build help developers to store, parse, and understand that data to extract meaningful information. This is incredibly valuable in an era where the responsible and efficient handling of data is of paramount importance. I’m really lucky to be working with a team that understands this, and am excited to make my contributions in line with the company ethos, which brings me to another area of alignment: the InfluxData values.

I believe that the core values of a company truly do shape its trajectory and inform the decisions of its leadership. Two of our values resonate most with me: “We believe humility drives learning.” and “We embrace failure.” These are values that I’ve struggled to embody in the past, coming from a background as a lawyer where so many of my colleagues thrived on bravado and where failure wasn’t an option. I realized that their kind of mentality is toxic and I’ve learned to shift my mindset as a developer, and now as a Developer Advocate. I’m heartened to find a company that understands the importance of humility and failure as foundational aspects of learning and thriving as an individual and as an organization.

InfluxData understands the importance of maintaining strong relationships with the developers who use its products, and I’m honored to be part of a team composed of people dedicated to that mission. I look forward to getting to know our users and helping them to get the most out of our products.

The post When Values Align: Why I Joined InfluxData appeared first on InfluxData.


Introducing Developer Support from InfluxData

Permalink - Posted on 2018-11-01 16:00, modified at 16:56

InfluxData is singularly focused on building the best time series data platform. Our purpose-built stack for metrics and events is becoming the de facto solution for ingesting, querying and processing time series data. As a company, we have always focused on faster ‘Time to Awesome’ for developers and always made concerted efforts to deliver the features needed by the developer community.

Now, we are taking the next step in supporting our vibrant and growing open source community. Our open source users have been asking us to support the open source version of InfluxDB for a while. We have always provided support for Enterprise and Cloud versions, but the developer support for open-source InfluxDB has been missing and developers have been relying on forums etc. to get support from other users. While support from other users is always helpful, sometimes developers are working on a prototype/proof-of-concept—and for such time-sensitive projects, they need help in a timely manner to meet their objectives.

Today, we are happy to announce Developer Support for InfluxDB which will help open source users to get formal support from InfluxData. Now, open source users have an option to receive email support to get their questions answered, problems solved and receive guidance on the best practices.

We hope that this new support offering will help developers achieve their goals, speed up InfluxDB adoption and get them on a fast track to solving their time series problems. This new support option does not change how existing Enterprise and Cloud customers are supported. As always, we will continue to provide tutorials, webinars and open documentation to support developers.

You can find more information about this support offering here, and reach out to our team to sign up using the ‘Contact Us’ button on the page or via Chat.

The post Introducing Developer Support from InfluxData appeared first on InfluxData.


Press Release: InfluxData Selected for Upcoming Speaking Engagements Worldwide to Address Growing Interest in Time Series Platform Knowledge and Expertise

Permalink - Posted on 2018-11-01 13:00, modified at 06:43

 

 

 

FOR IMMEDIATE RELEASE

 

Contact:
Dan Spalding, InfluxData
408-960-9297 | dan.spalding@influxdata.com

Company Presenting at Open Source Monitoring Conference and DevOpsCon in Germany; Data @Scale Boston and KubeCon + CloudNativeCon North America 2018

SAN FRANCISCO — Nov. 1, 2018 — InfluxData, the modern Open Source Platform built specifically for metrics, events and other time series data that empowers developers to build next-generation monitoring, analytics and IoT applications, today announced that it will present on time series data monitoring and analysis at important industry events around the world this month and in December.

Metrics, events, and other time-based data are being generated at an exponential rate, as there is a growing requirement for analyzing today’s complex environments. The InfluxData Platform provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications. Its InfluxDB database is the overwhelming leader among Time Series Database management systems, according to DB-Engines’ latest results published earlier this quarter.

InfluxData will participate at a number of important events globally in the coming weeks, including:

InfluxData’s unique features enable customers to quickly build:

  • Monitoring, alerting and notification applications supporting their DevOps initiatives
  • IoT applications supporting millions of events per second, providing new business value around predictive maintenance and real-time alerting and control
  • Real-time analytics applications that are focused on streaming data and anomaly detection

InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 420 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.

About InfluxData
InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 420 customers include CiscoeBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

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InfluxData, InfluxCloud, InfluxDB and InfluxEnterprise are all trademarked by InfluxData. All other trademarks are the property of their respective owners.

The post Press Release: InfluxData Selected for Upcoming Speaking Engagements Worldwide to Address Growing Interest in Time Series Platform Knowledge and Expertise appeared first on InfluxData.


In the News: DZone | Four Use Cases Driving Adoption of Time Series Platforms Across Industries

Permalink - Posted on 2018-10-31 17:36, modified at 17:53

Publication: DZone
Title: Four Use Cases Driving Adoption of Time Series Platforms Across Industries
Author: Navdeep Sidhu

Abstract: In this DZone article, Head of Product Marketing at InfluxData Navdeep Sidhu discusses four use cases driving the adoption of Time Series Platforms across industries. Sidhu begins by noting that Time Series Databases are the fastest growing database category and that this growth is spurred by recent technology trends. Then he covers the four use cases behind the growth in Time Series Platforms: DevOps, IoT, Microservices, and Real-Time Analytics. He concludes by observing that “Across industries, there is a realization that organizations should turn to AI/ML-driven smart apps” and that “Time series data platforms that can handle a large number of metrics and events will continue to grow with the requirements of AI, predictive analytics, and newer app architectures.” Click the button to read the full coverage.

 

Read full coverage

The post In the News: DZone | Four Use Cases Driving Adoption of Time Series Platforms Across Industries appeared first on InfluxData.