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Tag: InfluxDB

  • InfluxData Delivers Revamped Database for Real-Time Processing

    InfluxData Delivers Revamped Database for Real-Time Processing

    InfluxData has made good on a promise to deliver a next-generation time-series database that enables observability and monitoring tools used by DevOps teams to ingest high volumes of data more cost-efficiently.

    In addition, for the first time, the latest iteration of the InfluxDB database supports the de facto standard SQL query language. Developers can run unlimited time-series workloads and contextualize data by any dimension without restrictions using SQL or existing tools such as the InfluxDB application programming interface (API), Flux scripting language or the InfluxQL query language

    Brian Gilmore, director of internet-of-things (IoT) and emerging technologies for InfluxData, said InfluxDB is now based on a columnar engine, dubbed IOx, that leverages the open source Apache Arrow memory format and the Rust programming language accessed via a multi-tenant InfluxDB Cloud service that company manages on behalf of application developers. Use cases that require processing large volumes of data such as metrics, events, traces and other high cardinality data can now be queried in milliseconds, he noted.

    The goal is to make this latest incarnation of InfluxDB available via a managed cloud service before providing IT teams with a version they can install themselves.

    The arrival of a revamped InfluxDB architecture comes as the amount of data being generated across application environments continues to rapidly expand. Many DevOps teams are especially struggling with ways to process and store all the data being generated by cloud-native applications made up of microservices generating a steady stream of logs, metrics and traces.

    InfluxData, of course, has ambitions for its database that go beyond application development and deployment environments. Edge computing platforms, for example, will increasingly process and analyze data in real-time at the point where it is generated and consumed. Similarly, applications infused with machine and deep learning algorithms will require databases that can process data at scale. Regardless of the use case, however, it’s apparent more IT teams will be embracing DataOps best practices alongside DevOps to manage data as applications are deployed and continuously updated.

    It remains to be seen how many observability and monitoring tools might embrace this latest iteration of the InfluxDB database, but it’s clear DevOps teams should expect to see major advances as the underlying databases upon which these platforms depend continue to evolve. The goal is to ultimately eliminate the tradeoff that now often occurs between how much data is collected and analyzed versus the cost of processing and storing it.

    In the meantime, DevOps teams will need to decide whether they want to manage databases themselves as more managed services become easier to invoke in the age of the cloud. Most database selections these days are made by development teams that aren’t especially eager to take on the tasks normally performed by a database administrator. A managed service essentially outsources responsibility for managing a database to a services provider instead of requiring IT teams to hire a DBA themselves.

    One way or another, however, the speed at which data can now be processed in real-time should sharply reduce the need to rely on existing and cumbersome batch-oriented approaches to processing data.

  • InfluxData Announces InfluxDB Edge Data Replication

    New capabilities combine the power of cloud with the precision of the IoT edge to optimize time series data processing

    San Francisco, CA, June 15, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced Edge Data Replication, a new capability for centralized business insights in widely distributed environments. Edge Data Replication enables developers to collect, store and analyze high-precision time series data in InfluxDB at the edge, while replicating all or subsets of this data into InfluxDB Cloud. With Edge Data Replication, InfluxData delivers on both platform breadth and simplicity, scaling time series data processing in a new way that embraces the precision of the edge and the power of the cloud.

    Modern applications are highly distributed across architectures and produce enormous volumes of time series data at the edge. Effectively managing the data in these applications and associated assets is a time-consuming, resource-intensive process, and developers often don’t have the capabilities or budgets to manage hundreds or thousands of data pipelines. InfluxDB Edge Data Replication changes the way developers and operators process time series data across distributed environments using a new edge database configuration that durably queues and mirrors select datasets to the cloud. The availability of Edge Data Replication marks a critical first step in InfluxData’s journey to solve key time series data integration and orchestration challenges for customers building distributed Industrial and Internet of Things (IoT) applications in energy, manufacturing, aerospace, and other high-tech industries.

    “Data has gravity, and much of it is created far from clouds and data centers. This pulls applications out to the edge, where the data is born and produces its greatest value. Unfortunately, most databases don’t acknowledge or respect these emerging hybrid edge-cloud environments,” said Rick Spencer, Vice President of Products, InfluxData. “Edge Data Replication sets a new benchmark for time series platforms by combining the power of cloud with the precision of the edge – a best of both worlds solution that’s key to tomorrow’s distributed applications.”

    According to Gartner®, “Enterprises are now employing machine learning models and computing at the edge in order to preprocess data rather than just migrating data to the cloud. Rather than one-way archiving, early adopters are doing multidirectional synchronization of data between edge, core data center and public cloud. Two-way synchronization allows enterprises to make use of the elastic nature of the compute infrastructure found among cloud service providers. Furthermore, with the upcoming expansion of edge computing, there will be a growing need for solutions that enable data workflow among edge, storage and multiple public cloud providers.”

    Unlock Centralized Business Insights with Edge Data Replication

    InfluxData’s Edge Data Replication creates a new and intuitive experience for developers building at the edge by allowing data from an InfluxDB instance to automatically replicate to InfluxDB Cloud with a simple configuration setting. By leveraging Edge Data Replication in tandem with the full power of the InfluxDB platform, including Flux, InfluxDB’s native data scripting language, users can: Integrate edge and cloud DataOps: Connect edge and cloud workloads to automatically mirror data from InfluxDB edge sources to InfluxDB Cloud instances in real-time.

    • Reduce cloud ingress and egress costs: Filter and aggregate data intelligently from InfluxDB at the edge before replicating it to InfluxDB Cloud. Downsampling data with Edge Data Replication delivers faster processing and reduced transfer costs.
    • Transform data before transfer: Dynamically add context to edge data that is needed for processing in the cloud. Cloud processing may require extra dimensions to query on or feature engineering.
    • Enforce edge/cloud consistency: Withstand planned and unplanned disruptions in network connectivity by queueing data at the edge until it can be safely transferred to the cloud.
    • Full data workflow at the edge: Full support for applications at the edge by enabling data preprocessing close to the data sources.

    “Loft Orbital’s mission is to deliver space infrastructure as a service to give our customers rapid access to space,” said Caleb MacLachlan, Head of Software Integration, Loft Orbital. “Our network edge extends onto our spacecraft in low Earth orbit, requiring real-time access to highly distributed mission-critical data. With Edge Data Replication, it’s easier than ever for us to centralize our time series data while ensuring we don’t lose data from edge storage locations.”

    “Every year there are 10 times more IoT edge devices deployed. Developers know that expectations for consistency, efficiency, and reliability are growing at a similar rate,” said Rick Spencer, InfluxData. “With this kind of scale, IoT developers need excellence in local operations, taking advantage of granular data for real-time insights and control, while also having a centralized view across all of the edge operations, sometimes at an enormous scale. The combination of Edge Data Replication, InfluxDB at the edge, and InfluxDB Cloud makes building such IoT applications not only possible, but also incredibly simple.”

    Edge Data Replication is available immediately for InfluxDB users. For more information to get started, visit the InfluxData website.

    Gartner, “Market Guide for Hybrid Cloud Storage,” Julia Palmer, Raj Bala, 3 May 2021. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.

    About InfluxData

    InfluxData is the creator of InfluxDB, the leading time series platform. We empower developers and organizations, such as Cisco, IBM, Siemens and Tesla, to build real-time IoT, analytics and cloud applications with time-stamped data. Our technology is purpose-built to handle the massive volumes of data produced by sensors, systems or applications that change over time. Easy to start and scale, InfluxDB gives developers time to focus on the features and functionalities that give their apps a competitive edge. InfluxData is headquartered in San Francisco, with a workforce distributed worldwide. For more information, visit www.influxdata.com.

  • InfluxData Launches InfluxDB University

    San Francisco, CA, March 9, 2022 – InfluxData, creator of the leading time series platform InfluxDB, today announced the launch of InfluxDB University (InfluxDB U), an online education platform for customers and developers working with time series data. InfluxDB University focuses on giving developers the technical skills they need to build applications with InfluxDB through both on-demand and live instructor-led courses taught by InfluxData and industry experts. Courses on InfluxDB University are available today at no cost.

    “We think about the developer first in everything we do, ensuring they have the tools and resources needed to build and integrate applications with time series data,” said Brian Mullen, Chief Marketing Officer, InfluxData. “We meet developers where they are on the learning curve. Whether they’re brand new to InfluxDB or an advanced builder of time series applications, every developer can easily find the path and course work that is most relevant and most attuned to their individual journey.”

    The launch of InfluxDB University reinforces InfluxData’s commitment to delivering faster Time to Awesome™ to developers building applications with InfluxDB. Delivered through an intuitive learning platform, InfluxDB University courses offer technical resources and teach best practices to reduce the time and effort to build real-time applications. Participants can choose weekly trainings and workshops, led by qualified instructors who answer questions live during sessions. Alternatively, participants can select on-demand, self-paced courses if they prefer an independent learning experience.

    “InfluxDB University eliminates many of the common barriers to application building with time series data, which reinforces InfluxData’s commitment to developer happiness,” said Dr. Angelo Fausti, Software Engineer, Vera C. Rubin Observatory. “There’s a wealth of knowledge in these courses, and InfluxData is a true partner committed to ensuring we have the skills we need to be successful.”

    “InfluxData supports developers wherever they are in their time series journey,” said Jamie Milton, Senior Analytics Consultant, Fort Digital. “As a partner, we are excited to have InfluxDB University as a resource to continue to educate and support our customers to adopt best practices and get the most out of their time series data.”

    InfluxDB University is now live with introductory courses covering key elements of the platform, including InfluxDB Cloud, Telegraf and the Flux querying language. Additional courses cover more advanced topics around InfluxDB Enterprise and building IoT applications with InfluxDB. InfluxData will continue to add new courses and expand course content as new products and features are added to InfluxDB.

    To get started with InfluxDB University, visit www.influxdbu.com. For more information about how developers and organizations are using InfluxDB, visit the InfluxData website or sign up for a free cloud trial. To join the InfluxDB community, visit the InfluxData Community Slack channel.

    About InfluxData
    InfluxData is the creator of InfluxDB, the leading time series platform. We empower developers and organizations, such as Cisco, IBM, Siemens and Tesla, to build real-time IoT, analytics and cloud applications with time-stamped data. Our technology is purpose-built to handle the massive volumes of data produced by sensors, systems or applications that change over time. Easy to start and scale, InfluxDB gives developers time to focus on the features and functionalities that give their apps a competitive edge. InfluxData is headquartered in San Francisco, with a workforce distributed worldwide. For more information, visit www.influxdata.com.

  • InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data

    SAN FRANCISCO — April 14, 2021 — InfluxData, creator of the leading time series database InfluxDB, today announced the general availability of InfluxDB Notebooks, a new capability that improves communication for software development teams, ultimately enhancing productivity within InfluxDB Cloud. InfluxDB Notebooks is the first of the company’s new capabilities designed to make it easier for developers to collaborate around time series data within the platform.

    Developers rarely work alone; they almost always work in teams. One of the challenges of working together is communication — developers need seamless communication to streamline their development activities. InfluxDB Notebooks addresses this challenge by allowing developers to discuss time series data analyses and trends inside the platform rather than switching conversations to third-party messaging applications, which can slow them down significantly. This new capability allows users to create a durable artifact that shows teams how time series data is analyzed to solve business problems.

    “Development teams are more distributed than ever, but until now, they haven’t had the tools they need to seamlessly communicate around time series data,” said Russ Savage, director of product management at InfluxData. “To solve this problem, we’ve reimagined InfluxDB as a way to collaborate around data, not just store it. This new approach will dramatically save time for developers, so they can focus on building software.”

    With InfluxDB Notebooks, developer teams can quickly:

    • Design time series data pipelines with dynamic data, live code, and real-time visualizations — all with inline explanatory notes — effectively showing their work and sharing it with others
    • Share incident investigations to explain root cause following service outages, and build runbooks to avoid future outages
    • Document how IoT sensor data has been collected, normalized, enriched and downsampled to facilitate preventive maintenance and forecast device obsolescence

    InfluxDB Annotations will soon follow InfluxDB Notebooks and is another new capability that enables adding notes directly on dashboard cells to more quickly highlight and explain the meaning of anomalies in time series data and coordinate troubleshooting efforts. It will be used to capture context and share details about ongoing investigations into outlier data points that are underway. This will save teams time by eliminating the need for multiple people to repeat the same investigation.

    These new capabilities support better collaboration workflows between developers, SREs, and every stakeholder involved in time series collection, enrichment, and analysis. InfluxDB Notebooks lets teams weave together computational information such as code, data and statistics with narrative, and graphs, while InfluxDB Annotations helps developers share contextual clues so they can quickly determine the root cause of incidents and restore services faster.

    For more information about InfluxDB Notebooks, see the product documentation page and watch our Notebook Concepts video.

  • Time Series Virtual Summit Speaker Spotlight: Jon Herlocker and Miroslav Malecha

    Time Series Virtual Summit Speaker Spotlight: Jon Herlocker and Miroslav Malecha

    The Time Series Virtual Summit will bring together InfluxData community members for a unique learning experience focused on the impact of time series data. Presented in a virtual reality environment, the event will take place on July 16, at 10 a.m. EDT.

    Miroslav Malecha
    Jon Herlocker

    Jon Herlocker, president and CEO at Tignis, is one of the speakers that will be presenting at the Time Series Virtual Summit.

    Jon invites anybody who has the responsibility to turn large quantities of sensor data from physical plants or manufacturing lines into business value to attend his session, “How an Analytics Platform Detects Reliability Threats and Eliminates Obstacles Impeding Results Using InfluxDB.”

    “Viewers will see Tignis’ unique physics-driven approach to machine learning for physical plants and manufacturing lines,” said Jon. “We’ll also share our approach to using InfluxDB to accelerate delivery of our solution to our customers.”

    Jon will discuss how Tignis uses IoT sensors to reduce unexpected downtime at manufacturing plants and school campuses. Attendees will learn how by using a time series database they can improve their competitive advantage and accelerate their go-to-market strategy.

    “Time series data from physical plants and manufacturing lines can be turned into significant business value, and we have proven that InfluxDB can be an effective component of that,” said Jon.

    Another time series specialist that will be sharing his knowledge and his experience with InfluxDB is Miroslav Malecha, director of product management at Bonitoo.

    In his session, “Using Time Series for Geo-Temporal Analysis,” Miroslav will discuss how to use InfluxDB’s Flux for Geo-Temporal analysis. He’ll briefly cover what Flux is, how to use specific Flux geo functions and finish with a quick demo of how to use InfluxDB.

    You can hear from Jon, Miroslav and more time series experts at the Time Series Virtual Summit. To check out the agenda, the full lineup of speakers and to register (for free), visit the Time Series Virtual Summit website.

  • Time Series Virtual Summit Speaker Spotlight: Al Sargent and Samantha Wang

    Time Series Virtual Summit Speaker Spotlight: Al Sargent and Samantha Wang

    The Time Series Virtual Summit will bring together InfluxData community members for a unique learning experience focused on the impact of time series data. Presented in a virtual reality environment, the event will take place on July 16, at 10 a.m. EDT.

    Samantha Wang
    Al Sargent

    Al Sargent and Samantha Wang of InfluxData are on a mission to help developers understand how time series databases provide real-time observability and monitoring.

    “The best software engineering teams in the world understand that time series data is different; it can’t be managed using a traditional database, and requires a purpose-built database,” said Al Sargent, senior director of product marketing at InfluxData.

    Al will be the first speaker to take the virtual stage at the Time Series Virtual Summit. During his presentation, he will explore the unique challenges of managing time-series data, why time series data needs to be treated differently than other data types and what to look for in a time series database.

    Any developer that’s building applications using time series data (or planning to), such as data from IoT sensors, monitoring data or customer usage data will benefit from Al’s educational session.

    Another great session you must definitely attend is “Monitor your Cloud Metrics with Time Series” by Samantha Wang, product manager at InfluxData.

    Samantha will discuss the importance of time series data for cloud monitoring, and how you can view your metrics in real time with InfluxDB Cloud.

    “I will walk through how to write metrics into InfluxDB Cloud using Telegraf and how users can take their analysis one step further with Flux,” said Samantha. “Lastly, I will review InfluxDB Templates, one of our newest community InfluxDB products, that provides a packaged solution for various common monitoring use cases.”

    Join Al and Samantha to learn more about time series databases and understand how InfluxDB Cloud can be your end-to-end solution for writing data to monitoring and alerting — all optimized for time series data.

    You can hear from Al, Samantha and more time series experts at the Time Series Virtual Summit. To check out the agenda, the full lineup of speakers and to register (for free), visit the Time Series Virtual Summit website.

  • Time Series Virtual Summit Speaker Spotlight: John Gleeson and Benjamin Sirb

    Time Series Virtual Summit Speaker Spotlight: John Gleeson and Benjamin Sirb

    The Time Series Virtual Summit will bring together InfluxData community members for a unique learning experience focused on the impact of time series data. Presented in a virtual reality environment, the event will take place on July 16, at 10 a.m. EDT.

    Benjamin Sirb
    John Gleeson

    John Gleeson and Benjamin Sirb of Storj Labs, will be at the Time Series Virtual Summit to discuss how the InfluxDB contributes to Stroj’s decentralized cloud storage platform.

    “Our team uses time series data to operate our decentralized cloud storage platform, which provides enterprise-grade object storage and is the largest of its kind,” said John Gleeson, vice president of operations at Storj Labs.

    Tardigrade, powered by Storj Labs, offers decentralized cloud storage that is automatically encrypted, easily implemented, highly performant, very economical and resilient. By equipping their customers with fast, secure and fully distributed storage, their users no longer need to manage their infrastructure. The Storj platform enables applications to store and share data across a distributed network with end-to-end encryption.

    In their talk, John and Ben will dive into:

    • Storj’s redefinition of a cloud object storage network.
    • How InfluxData fits into Storj’s Open Source Partner Program.
    • Collecting and managing high volume real-time telemetry data from a distributed network.

    “Attendees can expect a deep dive on how time series data allows for real-time analysis of a highly complex system, which operates in a low trust environment while maintaining industry standard SLA’s for data availability and durability,” said Benjamin Sirb, senior data scientist at Storj Labs.

    As vice president of operations, John is responsible for direct sales, partnerships, customer success, community, product management and data science as well as growing the international presence for the Storj decentralized and distributed cloud storage network. He is responsible for operationalizing core processes to ensure the business scales as the company and network grow.

    Ben joined Storj Labs in 2018, bringing six years of experience in academia, research and consulting to his role as senior data scientist. Drawing from his knowledge of probability theory, Ben has been instrumental in researching the theoretical foundations and practical applications of decentralized networks at Storj.

    If there is one thing they both would like the audience to keep in mind is that “the data science behind distributed and decentralized cloud storage is intense!”

    Join John and Ben to discover how InfluxDB is a component to Storj’s Tardigrade service and workflows.

    You can hear from Ben, John and more time series experts at the Time Series Virtual Summit. To check out the agenda, the full lineup of speakers and to register (for free), visit the Time Series Virtual Summit website.

  • Time Series Virtual Summit Speaker Spotlight: James Governor, Sameer Farooqui and Russ Savage

    Time Series Virtual Summit Speaker Spotlight: James Governor, Sameer Farooqui and Russ Savage

    The Time Series Virtual Summit will bring together InfluxData community members for a unique learning experience focused on the impact of time series data. Presented in a virtual reality environment, the event will take place on July 16, at 10 a.m. EDT.

     

    Russ Savage
    Russ Savage
    Sameer Farooqui
    Sameer Farooqui
    James Governor
    James Governor

    The Time Series Virtual Summit features a stellar lineup of time series experts, including Sameer Farooqui, Russ Savage and keynote speaker James Governor.

    James Governor is an analyst and co-founder at RedMonk. James advises developers on technology strategies, open source and how to be more productive. During his keynote presentation, “Reframing and Retooling for Observability,” he will explain how observability is changing the way applications are built and managed. James will also discuss what this means for developers and how observability can be used to derive deep insights into system performance and user experience.

    Sameer Farooqui is a strategic cloud engineer at Google. Sameer focuses on Streaming Analytics and helps commercialize new streaming solutions such as time series forecasting and anomaly detection. In his session, “Analytics and ML on Time Series Data in Google Cloud,” Sameer will talk about the benefits of running time series databases in the Google Cloud Platform, and how to take advantage of Google Analytics tools.

    Russ Savage is a product manager at InfluxData, where he focuses on enabling DevOps for teams using InfluxDB and the TICK Stack. Russ will give the closing remarks, wrapping up the event with ways to get involved and learn more about the time series community.

    You can hear from James, Sameer, Russ and more time series experts at the Time Series Virtual Summit. To check out the agenda, the full lineup of speakers and to register (for free), visit the Time Series Virtual Summit website.

  • Upcoming Event: Time Series Virtual Summit

    Upcoming Event: Time Series Virtual Summit

    The Time Series Virtual Summit will bring together InfluxData community members for a unique learning experience focused on the impact of time series data. Presented in a virtual reality environment, the event will take place on July 16, from 10 a.m. to 4 p.m. EDT.

    This virtual event will focus on the impact of time series data and how it can be used to help build and optimize solutions for real-time visibility into stacks, sensors and systems.

    Here’s a preview of some of the speakers:

    • James Governor, analyst and co-founder at RedMonk
    • Al Sargent, senior director of product marketing at InfluxData
    • John Gleeson, VP of operations at Tardigrade.io
    • Jon Herlocker, president and CEO at Tignis
    • Michael Ellis, community manager at InfluxData

    Plus, speakers from companies such as AWS, Google, Microsoft and more.

    The industry leaders will share their thoughts on time series data, discuss the benefits of a time series database and the challenges of data management.

    At the Time Series Virtual Summit you will learn:

    • How to use a time series database to improve their competitive advantage and accelerate their go-to-market strategy.
    • How to manage risk in decentralized networks with time series.
    • How IoT can help manufacturers reduce downtime.
    • How to use observability to derive deep insights into system performance and user experience.

    The online environment features a lobby, an expo hall lined with booths full of downloadable resources, and an auditorium where attendees can watch the sessions. You can interact directly with time series experts and network with other attendees by joining the chat rooms.

    Discover what’s next from the InfluxData community and learn how you can get involved. To check out the agenda, the full lineup of speakers and to register (for free), visit the Time Series Virtual Summit website.

  • The Time for Time Series Data

    The Time for Time Series Data

    More than four years ago, we launched InfluxDB, an open source time series platform. In the years since, time series technology has become increasingly popular; according to DB-Engines, over the last 24 months time series has been the fastest growing database category. This popularity is fueled by the “sensorification” of the physical world (i.e., IoT) and the rapidly increasing instrumentation requirements of the next generation of software. InfluxDB has millions of downloads, an expanding list of enterprise customers and a growing community that is always finding new ways to deploy and build on our platform and we believe we are just scratching the surface.

    Amazon Web Services (AWS) recently entered the market with Timestream, a hosted time series database. We have been evangelizing the importance of high compression, super fast engines and a purpose-built stack for time series data and Amazon seems to have followed this model pretty closely. We are excited to have more competition in the market, as it affirms the broader market opportunity and further validates the need for robust, purpose-built solutions such as InfluxData. Amazon makes smart and strategic moves and we know that when it enters a new space, it’s not done so haphazardly—there is a lot of thought and research that goes into identifying the commercial potential, so its play in the time series database space is further evidence of what we already knew: that building a time series platform on existing multipurpose SQL or NoSQL databases is a nonstarter for a modern enterprise. AWS is a bedrock of the modern cloud-based internet and we are excited to see how Timestream evolves.

    Public details about Timestream’s technical capabilities are limited, but based on the AWS model, there are likely several significant differences between our offerings—enough to appeal to distinct developers and use cases. Among them:

    • Open source — We are first and foremost an open source company. We are committed to sharing ideas and information openly, collaborating on solutions and providing full transparency to drive innovation. InfluxData’s products are continuously improved by an energized group of developers that help to make them more reliable, secure and awesome. The power of the open source community to drive innovation is unsurpassed by any proprietary software solutions.

    • Hybrid cloud and on-premises support — Distributing assets on any or across multiple cloud-hosting environments is often the best choice for companies. Key among the advantages is avoiding vendor lock-in, which can limit the ability to customize systems and negotiate better rates, ultimately making it very difficult—and expensive—to change cloud providers to meet ever-evolving business and technical needs. Every business has specific functionalities and a hybrid cloud system offers the flexibility to choose services that best fit their needs, whether it’s to support GDPR regulatory requirements or teams that are spread across multiple providers. And from an operations perspective, a multi-cloud system increases efficiencies and provides another layer of security to ensure there is no downtime.

    Inevitably, as recognition of the power of time series data becomes more prominent, we’ll see even more competitors enter the space. And this is great from our perspective: Not only does competition fuel innovation, it grows the market as a whole. More importantly, it keeps us vigilant and focused on delivering value for the developers and those in the DevOps space who solve real-world problems with our platform.

    Our priorities remain the same and we will proceed on the track we’re laying for the future. We will continue to push the edge with this technology—leveraging the advantages of a purpose-built system, developing new languages, supporting new platforms and new workloads and pursuing exciting opportunities as they come. We are committed to having a project with velocity, investing in the platform to make it successful and in the community of creative and talented developers who are discovering new ways to deploy our time series platform every day.

    InfluxDB is available now and we encourage developers, both existing users and those who are just learning about the power of time series databases, to download and get up and running in minutes.

    — Evan Kaplan