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  • Domino Data Lab Announces Domino 3.0 to Power Model-Driven Organizations

    New module, Launchpad, helps companies solve the last mile problem in data science

    SAN FRANCISCO, Calif.— October 17, 2018 — Domino Data Lab, provider of an open data science platform, today announced Domino 3.0 featuring Domino Launchpad, a module designed to help companies maximize the impact of their data science investments by addressing the operational challenges and bottlenecks they face getting models into production.

    “Following the introduction of the Model Management framework at the Rev summit for data science leaders earlier this year, we’re delivering on our promise to provide a platform that allows organizations to put predictive and machine learning models at the heart of their business,” said Nick Elprin, co-founder and CEO at Domino. “Domino 3.0 tackles model operations challenges surrounding model delivery and ongoing iterations of production models. By streamlining the model deployment process and facilitating faster, easier iterations throughout the model management cycle, the latest Domino functionality helps data science leaders ensure that their investments in data science are yielding tangible business impact.”

    The Last Mile Problem in Data Science Despite the massive investment in artificial intelligence (AI) and data science, most organizations have been unable to see significant return. A recent BCG and MIT Sloan survey found that nearly 85 percent of the executives surveyed believe AI will offer their organization a competitive advantage, yet only five percent of companies extensively utilize AI models in their business.

    “Many data science investments fail because it’s extremely hard for companies to get models beyond their data science teams and into production,” stated Krishna Roy, senior analyst, Data Science & Analytics at 451 Research.“ Organizations will continue to struggle to deliver business impact with data science if they don’t close the gap that exists between IT and DevOps teams responsible for data science production environments, data scientists building models and end users and other business stakeholders involved in model creation and use.”

    Domino 3.0 Helps Companies Become Model-Driven With LaunchPad Domino 3.0 fills the gaps between AI investment, execution, and competitive advantage by eliminating the model delivery bottleneck.

    Domino’s new module, Domino Launchpad, enables data science teams to decrease the time and pain associated with deploying models while increasing iteration speed on models in production to ensure they have an immediate business impact by:

    • Eliminating technology hurdles to model delivery with automatic infrastructure provisioning via Docker and support for popular tools like Shiny, Flask and Dash;
    • Improving collaboration among stakeholders with a single portal for discovering model products and usage data to ensure faster feedback loops to validate a model’s impact; and
    • Accelerating model iteration velocity with automatic model versioning and full reproducibility of experimental history for faster, continuous model iteration.

    WPP’s Mindshare Uses Domino to Push the Envelope in Media with AI “As a leader supporting Global 2000 clients in the competitive media landscape, a core differentiator has become our ability to rapidly build and deploy client-facing AI apps at scale,” said Giovanni Romero, partner and global lead for Business Consulting and Analytics

    at GroupM/WPP’s Mindshare. “With data scientists and business stakeholders spread across more than 110 offices, we needed a more systematic way to incorporate feedback, ensure model reproducibility, and manage production models. Domino helps us understand and respond to clients’ engagement with AI apps so we can constantly improve the effectiveness of their media investments; the enhancements provided in Domino 3.0 streamline the workflows between data scientists and end users even further.”

    Learn More Domino was recently named a leader in the Forrester Wave report “Notebook-based Predictive Analytics and Machine Learning Solutions” by Forrester Research.

    To learn more about Domino 3.0, register for the webinar, “How Leading Organizations Are Solving the ModelOps Challenge”, featuring Forrester Research, Bayer Worldwide, and Domino on November 14 at 10:00 a.m. PST. Register here.

    About Domino Data Lab Domino Data Lab provides an open data science platform to help companies run their business on models. Model-driven companies like Allstate, Instacart, Dell, and Bayer use Domino to accelerate breakthrough research, increase collaboration, and rapidly deliver high-impact models. Founded in 2013 and based in San Francisco, Domino is backed by Sequoia Capital, Coatue, Bloomberg Beta, and Zetta Venture Partners. To learn more, visit dominodatalab.com.

    Media Contact: Karina Babcock, Director of Corporate Marketing E: press@dominodatalab.com

  • DB-Engines’ Latest Industry Results Reveal InfluxData’s Overwhelming Leadership Position in Rapidly Growing Time Series Database Category

    InfluxData Increases Industry Lead with Growing Popularity of 49 Percent; Overall Industry Popularity Nearly 3 Times More than Closest Competitor

     SAN FRANCISCO — Oct. 16, 2018 — InfluxData, a 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 its continued position as the overwhelming leader among Time Series Database management systems, according to DB-Engines’ latest results published this month.

    According to DB-Engines’ October results, InfluxDB continues its unquestioned lead, outpacing the competition with its popularity increasing 49 percent over the past 12 months and 144 percent over the past two years. 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.

    The DB-Engines results included rankings of the leading vendors in the Time Series Database category, with InfluxDB’s user popularity ranking nearly 3 times more than the nearest competitor. InfluxDB’s user popularity also scored the biggest increases over the past month and year, as compared to the competitive field.

    DB-Engines is an initiative to collect and present information on database management systems (DBMS). DB-Engines also ranked the overall Time Series Database Management System category, which continues to grow in popularity with a 38 percent year-over-year increase, and a 108 percent two-year increase. Overall, InfluxDB continues to show strong popularity among all databases ranked, increasing its ranking to 36 overall, up from 40 a year ago.

    “When monitoring how well tools, applications, solutions, and hardware/software are doing, you are always looking at data that is time-stamped, making Time Series databases a fundamental requirement to collect, store and act upon that data as efficiently as possible,” said Mark Herring, InfluxData CMO. “Time Series workloads are unique and are best served by a Time Series database instead of a traditional database. The growth in this database segment is proof that users are finding its capabilities important in collecting and storing data that shows metrics and events for IoT sensors, DevOps monitoring, and real-time analytics.”

    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’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 Cisco, eBay, IBM and Siemens. Visit https://www.influxdata.com/. Twitter: @influxdb.

  • UK technology firm Cloudhouse sees three-fold revenue growth and expansion into the US

    Appoints Nick Coleman as CTO, and outlines its strategic growth plans

    London, UK – October 16, 2018 – Cloudhouse Technologies has seen over 300 per cent growth over the last 12 months, and expanded its business into the US – thanks, in part, to strategic partnerships with Microsoft and Amazon. As it looks to continue its growth and expand its global footprint, Cloudhouse has also appointed Nick Coleman as CTO.

    The company, which developed the innovative ‘Compatibility Container’ system, enables organisations to continue using their legacy applications safely and securely on new platforms and within the cloud without any code changes, even when they’re designed to run on unsupported versions of Windows and Citrix.

    This is because ‘containerizing’ legacy applications resolves the problems around running 32-bit Windows XP and 7, Windows Server 2003 and 2008, and Internet Explorer-based applications on modern secure and supported operating systems and platforms. In addition to reducing the risks associated with unsupported operating systems, using a Container approach also helps eliminate costly Extended Security Update agreements and can help further reduce operating costs by consolidating server infrastructure.

    Cloudhouse has recently expanded its operations into the United States and started to build a team in the region. Coleman’s appointment as CTO frees CEO and founder, Mat Clothier, to focus on the company’s growth plans, including those in the US market and other Global markets.

    Previously head of application management at Sopra Steria and vice president, technology, at CGI, Coleman brings a wealth of experience in service delivery and of working with customers who rely on Microsoft-based products. He will focus on developing Cloudhouse’s technology offerings, as well as looking at innovative ways to support its growing customer base.

    Nick Coleman, CTO, Cloudhouse, said: “Having spent the last 20 years delivering enterprise services, I understand the huge challenges organisations face when it comes to legacy applications. Thanks to our technology, along with strategic relationships with Microsoft, Amazon and Citrix, our product is uniquely positioned to help clients mitigate risk and move legacy applications to a more cost-effective, modern and secure environment.”

    Mat Clothier, CEO and founder, Cloudhouse, said: “This is a key time for Cloudhouse as we continue to grow our customer base and move into the US market. We’ve experienced significant growth as we work to support more organisations and bigger customers to mitigate the issues of legacy operating systems. Nick’s appointment will go a long way to support this momentum, and his experience with Microsoft users and service delivery will boost our offering – and means we can continue to create solutions that help customers use their preferred applications safely and securely, no matter what their age, original operating system or browser specification.”

    About Cloudhouse

    Cloudhouse Containers free enterprises from running unsupported Windows and Citrix platforms by making otherwise incompatible applications run on the newest platforms – whether they run on premise or in the cloud. Apps only need to be packaged once in stateless containers that handle application runtime, isolation, and full redirection. As a result, enterprises can complete Windows 10 or Cloud migration projects successfully. Cloudhouse is based in London.

    For further information,

    Visit: https://cloudhouse.com/resources/announcing-three-fold-revenue-growth

  • Applitools Delivers Cypress and Storybook SDKs to Provide Developers with Ultra-Fast Visual Validation of Their Web Applications and Components

    Automated Visual Testing at the Speed of Unit Testing

    SAN MATEO, Calif., October 16, 2018 — Applitools (applitools.com), the leader in Application Visual Management (AVM), today announced expansion of their AI powered visual testing platform to Cypress and Storybook; two popular tools with software developers seeking to build high quality applications faster.

    These new Applitools Automated Visual Testing SDKs are engineered to run visual tests instantly as developers write code, enabling them to identify visual bugs as soon as they are introduced. The result is more productive engineering teams, delivering higher-quality apps faster than ever before.

    “I love how Applitools Eyes has the smarts to ignore minor visual differences in your components, especially when testing on different browser types where it’s easy for layout to be off by a pixel,” said Kent C. Dodds, JavaScript engineer at PayPal and the creator of TestingJavaScript.com. “I also think is awesome how quickly I can get confidence that my application works across these browsers without actually having to run all my tests in every one of them.”

    To get started with Applitools’ new SDKs, sign up for a free Applitools Eyes account at (https://applitools.com/cypress) or (https://applitools.com/storybook).

    “Finding and fixing bugs at the application development stage is significantly cheaper and easier than finding and fixing those bugs during QA, or worse, in production,” said Gil Sever, CEO of Applitools. “This dynamic is what’s driving the industry trend of ‘Shift Left’ and embedding testing earlier in the development lifecycle. Increasing release velocity, while maintaining software quality is a huge challenge for R&D teams. By expanding our AI powered visual testing platform to Cypress and Storybook, we provide frontend developers and test automation engineers the tools to do visual testing at the development stage, at the ultra-fast speeds needed to maintain agile and CI-CD development.”

    “Our software engineers love the simple configuration, fast performance, and both full page and component-level visual regression testing that Applitools now provides,” said David Corbett, engineering lead at PushPay. “Visual testing is now a vital part of our development routine helping drive faster release cycles with higher quality.”

    Applitools Cypress Ultra-Fast SDK empowers developers with an almost instant interactive experience allowing them to see a code’s impact on the UI by headlessly running screenshots in parallel. Also, for the first time, you can use Cypress for visual testing on Firefox, mobile browsers, and Google Chrome.

    “Applitools Eyes integrates seamlessly with Cypress and has everything I need for cross-browser visual testing coverage by circumventing the Google Chrome-only restriction built into Cypress,” said Omri Aharon, frontend team leader at Autodesk.

    Applitools Storybook SDK visually tests UI web components in parallel, without writing any test code on React, Angular or Vue, enabling ultra-fast codeless validation of massive component libraries in seconds.

    “Storybook allows you to visualize your components and all their states, and Applitools allows you to do smart visual-regression testing. Using these tools together provides change detection, which will certainly be of immense value to organizations and individual developers,” said Norbert de Langen, senior front-end consultant at Xebia and maintainer of Storybook.

    Join us for a live webinar with frontend developer Gil Tayar entitled “Visual Validation at the Speed of Unit Testing with Cypress and Storybook” at https://goo.gl/vvZdTG

    Applitools’ AI powered Application Visual Testing (AVT) technology gives frontend developers, QA analysts, test automation engineers and digital transformation executives the ability to automate the visual testing of web and mobile apps on multiple browsers, devices and screen sizes. By accelerating the testing cycle, companies can improve test coverage and increase the detection of visual bugs dramatically.

    Applitools’ Visual AI engine mimics the human eye and brain to avoid undetected bugs and simultaneously minimize false positive bug alerts. The technology can instantly validate entire app pages and their components, and detect layout issues on the most complex and dynamic pages. When development teams are confident that web and mobile applications are rendering properly across all browsers, devices and screen sizes, they are unleashed to push more code more quickly, and with much better quality than ever before.

    About Applitools

    Applitools is the creator of Application Visual Management (AVM) to help companies release, test and monitor flawless mobile, web, and native apps in a fully automated way. Founded in 2013, Applitools uses sophisticated AI powered image processing technology to ensure that an application appears correctly and functions properly on all mobile devices, browsers, operating systems, and screen sizes. Applitools has customers from a range of verticals, including Fortune 100 companies in software, banking, online retail, insurance, and pharmaceuticals. Applitools is headquartered in San Mateo, California, with an R&D center in Tel Aviv, Israel. For more information, please visit applitools.com.

  • Cloud Academy Launches Cloud Roster and Cloud Catalog, Data-Driven Resources to Benchmark Cloud Job Roles & Technical Skill Demand

    Resources made public to guide and accelerate enterprise transformation, leveraging aggregated & trended market data

    October 16, 2018 09:00 AM Eastern Daylight Time

    SAN FRANCISCO–(BUSINESS WIRE)–Cloud Academy, the leading digital skills development platform for enterprises, today announced the launch of industry benchmarking tools designed to help organizations define the critical job roles and technical skills needed for cloud adoption and ongoing competitiveness.

    Starting today, the general public is now able to access the following resources on the Cloud Academy website:

    • Cloud Roster, the job roles matrix that defines the core roles necessary for organizations to establish and maintain a competitive edge in technical innovation. Cloud Roster analyzes tens of thousands of public job postings weekly to trend the top technology skills in demand for each role over time, as well as the demand for each role itself. The resource leverages interviews with industry experts and documents the key traits, responsibilities, non-technical skills, and related industry certifications for each position.
    • Cloud Catalog, a global technology index that tracks the popularity of cloud technologies, frameworks, and vendor platforms. Based on data gathered over time from several well-known developer community platforms, Cloud Catalog offers a stack ranking of technologies by relative popularity and geography.

    The launch of the job-role specific resources complements the company’s feature set that’s focused on learning accountability, data-driven skills measurement, and role-specific customization of its fast-growing library of cloud training curriculum. Research firm IDC expects cloud investment to grow at a 22% compound growth rate through 2021 and companies are under increasing pressure to show returns on their investment in public cloud initiatives. With newly added starter Training Plans and Skill Assessments specific to each job role, Cloud Academy leadership is confident that the company is sitting at the crossroads of modern technological innovation.

    “Cloud Roster and Cloud Catalog empower our broader community to visualize the impressive changes brought about by increased multi-cloud adoption, the evolution of technical job roles, and the dynamic nature of skill demand,” said Stefano Bellasio, CEO, Cloud Academy. “Building these tools by leveraging proven data techniques allows us to continue to serve forward-thinking enterprises in their efforts to achieve digital transformation.”

    Cloud Roster and Cloud Catalog are available today at cloudacademy.com.

    About Cloud Academy

    Cloud Academy is the leading enterprise digital skills development platform accelerating innovation through guided learning paths, hands-on labs, and skill assessment. Companies trust Cloud Academy to deliver multimodal training on leading clouds (AWS, Azure, Google Cloud Platform), essential methodologies needed to operate on and between clouds (DevOps, security), and capabilities that are unlocked by the cloud (big data, machine learning, IoT). Leading organizations customize Cloud Academy to contextualize learning and leverage the platform to assign, manage, and measure cloud enablement at scale. Learn more about us at https://cloudacademy.com.

     

  • Talend Fall ’18 Enables Enterprises to Deliver Insight-Ready Data at Scale

    Major integration platform update adds advanced catalog and API development capabilities and dramatically accelerates machine learning at scale

    REDWOOD CITY, Calif. and LONDON – October 16, 2018 – Talend (NASDAQ: TLND), a global leader in cloud data integration solutions, today announced a major update to Talend Data Fabric, the company’s unified data platform for data integration across complex, multi-cloud and on-premises environments. Announced at Talend Connect UK, Talend’s Fall 2018 release delivers insight-ready data at scale with new features including Data Catalog, which creates a single source of trusted data, and Cloud Application Programming Interface (API) Services, which speeds access to standardized data for building data-as-a-service applications and increasing productivity. Talend’s new release also accelerates running machine learning algorithms at scale with extended serverless big data support.

    “Data is at the heart of digital transformation, yet the promise of data remains elusive for many companies,” said Ciaran Dynes, SVP of Products, Talend. “For businesses to survive and succeed in this ever-evolving, expanding and complex data landscape, there is a need to optimally automate every step of the data value chain and enable self-service for more data consumers. With this release, Talend helps enterprises dramatically improve how they can organize, process, and share data, which in turn enables organizations to collaborate and innovate on insight-ready data at scale.”

    “As part of our cloud-first strategy, Talend has enabled us to create a governed data lake with self-service access for business units and clients in an effort to monetize new services and generate additional revenues,” said Abderrahmane Belarfaoui, CDO, Euronext. “We compete in a highly regulated industry and face many requirements that push the processing, agility and cost of IT platforms. Using Talend, we have the confidence that our data is compliant, organized and highly sharable, with the efficiency and speed we require in order to stay ahead of the competition.”

    As part of the new Talend Data Fabric, Talend adds an API delivery platform enabling data-driven businesses to simplify data access. Talend Cloud API Services provides full API development lifecycle support from API design to test and deployment, enabling significant time savings in building and maintaining APIs. This API foundation serves as a standard and scalable way for companies to make data available to more users inside and outside an organization and to create new products and services that can drive new business models, revenue and profitability.

    “In this new era of digital transformation, nearly every organizational role is using data daily to inform decisions and actions,” said Stewart Bond, Research Director, Data Integration and Data Integrity Software, IDC. “Data cataloging software is experiencing a higher than market growth rate because it is filling a gap in the intelligence required to help organizations discover data and derive better insights to inform decisions and drive actions.”

    To organize data at scale, Talend adds new Data Catalog capabilities that enable a single source of trusted data. The Data Catalog automatically crawls all data, whether it is in a data lake, on-premises or in the cloud; profiles and classifies all the data; automatically finds and suggests relationships between data, and provides easy search-based access so end users can leverage trusted data when they need it to make immediate business decisions.

    The Fall 2018 Talend Data Fabric also accelerates running machine learning models at scale with native, extended serverless big data support for Microsoft Azure Databricks as well as Qubole in AWS cloud environments. Talend’s self-service Apache Spark processing makes it easy to spin up a cluster and control costs by just paying for what is used through serverless and spot instances. The new capabilities help to automate insight and enables businesses to process more data at lower costs.

    The comprehensive Talend Data Fabric delivers a unified platform for data integration across public, private,and hybrid cloud, as well as on-premises environments, and facilitates greater collaboration between IT and business teams. Combined with an open, native and extensible architecture for rapidly embracing market innovations, Talend enables customers to cost-effectively meet the demands of ever-increasing data volumes, users and use cases.

    The Fall 2018 update to the Talend Data Fabric will be available in November for free to customers with up-to-date paid subscriptions. For information on new features and capabilities, please visit https://www.talend.com/products/whats-new. Additionally, a webinar detailing the Fall 2018 update will take place on Nov. 8. Register here to join.

  • Industry benchmarking tools to fill skills gap

    Cloud Academy, an enterprise-ready training platform that accelerates teams and digital transformation, is announcing industry benchmarking tools designed to help organizations define the critical job roles and technical skills needed for cloud adoption and ongoing competitiveness.

    One example of Cloud Academy’s data includes a comparison of AWS, Microsfot Azure and Google Cloud. The data indicates knowledge of AWS is far above the other two (image below). Other examples include required skills (image below), trending skills and job role demand by geo, trending technology and real-time, data-driven definition of cloud job roles.

    Any interest in speaking to Cloud Academy? Or, would you like to speak to customers (such as Turner or Pokemon’s head of security), receive data and visuals, or review the embargoed release?

    Screen Shot 2018-10-12 at 2.36.45 PM.png

    Screen Shot 2018-10-12 at 1.34.30 PM.png

     

    Comparison between R and Python: While R is getting significant hype, the data shows that Python is actually the language most organizations require prospects know.

  • Fission Open Source Serverless Framework Offers Live-Reload, Canary Deployments, Record-Replay, More Features to Improve the Quality and Simplify Release Automation of Serverless Applications on Kubernetes

    Live-reload, Record-replay, Automated Canary Deployments, Prometheus integration, and more give both Dev and Ops confidence in the production-readiness of serverless applications, as well as easy troubleshooting, and cost/performance optimization

    Sunnyvale, CA – October 16, 2018 – Platform9 (https://platform9.com/), the leader in SaaS-managed hybrid cloud, today announced a new release of Fission.io – the popular open source, Kubernetes-native Serverless framework – with new features enabling developers and IT Operations to improve the quality and reliability of serverless applications.

    Fission is the industry’s first serverless solution to offer built-in Live-reload and Record-replay capabilities to simplify testing and accelerate feedback loops. Other new features include Automated Canary Deployments to reduce the risk of failed releases, Prometheus integration for automated monitoring and alerts, and fine-grained cost and performance optimization capabilities. With this latest release, Fission offers the most complete set of features to allow Dev and Ops teams to safely adopt Serverless and benefit from the speed, cost savings and scalability of this cloud native development pattern on any environment – either in the public cloud or on-premises.

    Learn more about Fission, the open source, Kubernetes-native Serverless Framework at: (https://fission.io/).  

    “Fission was created to provide a simpler, easier way for developers to accelerate time to value with Kubernetes. Our goal is to help developers produce quality serverless code, and provide Ops teams with the utmost confidence to run serverless applications in production,” said Soam Vasani, Creator of Fission at Platform9. “Serverless allows developers to move faster and be more productive. The latest release of Fission focuses on accelerating feedback loops and lowering deployment risk, to ensure that teams can not only move fast, but also safely, and at scale.”

    The latest feature set of Fission includes:

    Live-reload: Test as you type

    With Live-reload, Fission automatically deploys the code as it is written into a live Kubernetes test cluster, and allows developers to toggle between their development environment and the runtime of the function, to rapidly iterate through their coding and testing cycles.

    This allows bugs to be found and fixed earlier in the application development lifecycle, when it is cheaper to do so – before they are discovered in the higher environments or cause any service disruption in Production. Further, it simplifies and increases the fidelity of integration tests, by running them earlier in the process using a live environment that’s consistent with the configuration and related services (i.e. database, API calls, etc.) that are used in Production.

    Record-replay: Simplify testing and debugging

    Fission is the first serverless solution that offers out-of-the-box Record-replay functionality for easy testing and troubleshooting. Record-replay automatically saves events that trigger serverless functions and allows for the replaying of these events on demand with detailed information on how the application is used, the inputs and the outputs of the functions. Fission users can configure which functions and workflows to record and for how long to retain the recorded events.

    Record-replay is used by developers to reproduce complex failures during testing or debugging, simplify regression testing, and troubleshoot issues (i.e. inspecting an execution of a function based on past input). In addition, Operations teams often enable recording on a subset of live production traffic to help engineers reproduce issues or verify application updates.

    Automated Canary Deployments: Reduce the risk of failed releases

    Canary deployments are a proven deployment strategy to minimize the risk of failed application releases and avoid service interruptions to end users. In this strategy, the new version of the application is first deployed only to a small percentage of the live traffic, and then gets incrementally rolled out to Production once it has been established that the version is stable. In the case of Production failures, the application can be rolled back to the previous, stable version.

    Fission is the first open source serverless framework to provide fully automated Canary Deployments that are easy to configure. This saves DevOps teams and Site Reliability Engineers the need to manage Canaries manually or invest in cumbersome scripting and testing to execute this advanced deployment strategy – making it intuitive, simple to use, and error-free. Ultimately this minimizes downtime risk for applications.

    With Automated Canary Deployments, Fission automatically increments traffic proportions to the newer version of the function as long as it succeeds, and rolls back to the old version if the new version fails.  Users can configure the percentage of traffic that will receive the new version of the function, the error rate that will constitute as failure, and the release rate at which to roll out the new version.

    Prometheus Integration: Easy metrics collection and alerts

    Out of the box integration with Prometheus enables automatic aggregation of function metrics, including the number of functions called, function execution time, success, failures, and more. Users can also define custom alerts for key events, such as for when a function fails or takes too long to execute. Prometheus metrics can also feed monitoring dashboards to visualize application metrics.

    Cost Optimizations in Fission

    Since Fission is open source and works on any Kubernetes cluster, it enables enterprises to easily run a Lambda-like Serverless service on any infrastructure – using either the cheaper instances on public clouds, or leveraging their own data centers. To allow IT to maximize infrastructure utilization on both public cloud and on-premises resources, Fission offers fine-grained cost and performance optimization controls.

    Serverless functions can be configured with specific CPU and Memory resource usage limits, minimum/maximum number of instances and auto-scaling parameters. These parameters allow for functions to be tuned with an execution strategy that best fits the specific business use case. For example, functions that have severe cost constraints can be deployed into containers on-demand, minimizing costs at the expense of performance. Conversely, functions that need performance above all other requirements can be configured to have instances always running, ensuring low latency but driving up costs. Functions can also take advantage of Fission’s pre-warmed container pools, which aggregate the cost of pooling over a large number of functions, while providing the performance benefits for all of them.

    “Our global photo platform helps hundreds of millions of devoted users preserve their memories by combining all of their favorite photos on thousands of customized products. We are always looking for ways to improve the way we manage the scale and quality of our applications. These new Fission features will help our developers deliver new customer experiences built on serverless applications without the dependency of managing the complexity of scale”, said Kenneth Lam, Director of Technology at Snapfish. “Fission allows our company to benefit from the speed, cost savings and scalability of a cloud-native development pattern on any environment we choose, whether it be the public cloud or on-prem.”

    To install the latest version of Fission, visit: (https://fission.io).

    Share This: New @fissionio features include Live-reload, Record-replay, automated #Canary deployments, #Prometheus, and more improve quality and lower the risk of #serverless application release on #Kubernetes  #faas https://platform9.com/press/fission-open-source-serverless-framework-offers-live-reload-canary-deployments-record-replay-more-improve-quality-releases-automation-serverless-on-kubernetes/ @Platform9Sys

    About Platform9

    Platform9 (platform9.com) delivers a SaaS-managed hybrid cloud solution that turns existing infrastructure into a cloud, instantly. We help enterprises drive digital transformation by enabling them to manage VMs, Containers and Serverless Functions on ANY infrastructure — on-premises, in public clouds, or at the edge – with a self-service, simple and unified experience. Customers such as Cadence, Autodesk, Veritas, Nanometrics, EBSCO, Bitly, LogMeIn, and Aruba see upwards of 300 percent improvement in IT efficiency, 33 percent faster time to market, and 50-80 percent improvement in data center utilization and cost reduction. The company is headquartered in Sunnyvale, CA, and is backed by Redpoint Ventures, Menlo Ventures, Canvas Ventures, and HPE.

  • Trend Micro Redefines Endpoint Security with Trend Micro Apex One™

    All-in-one advanced endpoint security solution automates detection & response, delivers insight for stretched IT and security teams

    DALLAS, October 15, 2018 – Trend Micro Incorporated (TYO: 4704; TSE: 4704), a global leader in cybersecurity solutions, today launched the evolution of its advanced endpoint security offering. Now re-branded as Trend Micro Apex One™, the product redefines endpoint security with the sheer breadth of capabilities delivered as a single agent, with consistency across SaaS and on-premises deployments. This simplified offering enhances automated detection and response and provides actionable insights that maximize security for customers and offers growth opportunities for the channel.

    Overextended IT security teams are increasingly overwhelmed by the number of products required to fully protect their endpoints. Combined with an increasing number of alerts and siloed log information, there is a struggle to respond quickly enough to today’s advanced threats.

    “Our latest release has advancements that address the most pressing endpoint security issues being faced in the industry today,” said Kevin Simzer, chief operating officer for Trend Micro. “Despite the claims of some so-called ‘next-gen’ vendors, effective protection requires multiple layers of security, which is foundational to our strategy. Apex One™ is a fantastic choice for businesses seeking to displace traditional AV or struggling next-gen deployments.”

    Trend Micro Apex One™ delivers three key highlights:

    • Automated Detection & Response:

    Apex One™ is built upon the XGen™ security techniques, which is a cross-generational blend of threat defense functionality that intelligently applies the right technology at the right time. The product includes the industry’s most timely virtual patching capabilities powered by Trend Micro’s Zero Day Initiative, along with a range of modern technologies to detect and block advanced attacks, including fileless threats.

    • Actionable Insights:

    Apex One™ introduces significantly expanded endpoint detection and response (EDR) capabilities. Additionally, it connects to Trend Micro’s managed detection and response (MDR) service option that boosts in-house teams with threat hunting and alert monitoring.

    • All-in-one:

    Apex One™ offers an industry-leading breadth of capabilities from a single agent, while many vendors are still only shipping two or more. In particular, Apex One™ powerful EDR with the automated detection & response tools, simplifying deployment and eliminating silos.

    Together, these key highlights of Trend Micro Apex One™ provide a major growth opportunity for channel partners looking to offer a higher-value product that meets the security needs of enterprises.

    “These days both channel leaders as well as discerning IT decision makers can end up confused due to the level of noise in the cybersecurity market. When it comes to endpoint security I encourage a focus on the proven performance, security improvements, and flexibility of delivery models of each solution in consideration,” said Doug Cahill, senior cybersecurity analyst and group director at ESG. “By offering automated detection and EDR investigation in a single agent that is easy to deploy and provides the right defense at the right time, Trend Micro offers a modern approach to endpoint protection.”

    “Our business is faced with constant security pressures, needing to defend against increasing threats like fileless malware and ransomware while meeting security compliance standards,” said Tim Masey, Director of Cybersecurity, for Carhartt. “Today, Trend Micro provides us with effective advanced endpoint security and we look forward to the expanded capabilities of Apex One™.”

    The product’s single agent form factor, available in November 2018, eases deployment while addressing today’s demanding protection and compliance requirements. Apex One™ furthers Trend Micro’s existing OfficeScan product and current OfficeScan customers will receive Apex One™ as a regular update at no additional cost; certain features such as EDR investigation require additional licensing, depending on current entitlements.

    For more information, please visit: www.trendmicro.com/apexone.

    About Trend Micro

    Trend Micro Incorporated, a global leader in cybersecurity solutions, helps to make the world safe for exchanging digital information.  Our innovative solutions for consumers, businesses, and governments provide layered security for data centers, cloud workloads, networks, and endpoints. All our products work together to seamlessly share threat intelligence and provide a connected threat defense with centralized visibility and investigation, enabling better, faster protection. With over 6,000 employees in 50 countries and the world’s most advanced global threat research and intelligence, Trend Micro enables organizations to secure their connected world.  For more information, visit www.trendmicro.com.

  • RiskRecon Invents Ground-Breaking Asset Risk Valuation Algorithms, Transforming How Enterprises Manage Third-Party Cyber Risk

    New algorithms solve the cyber risk equation by automatically determining the risk value of computer systems, enabling precise cyber risk assessment and action

    Salt Lake City, Utah — October 15,  2018 — RiskRecon, the world’s leading platform provider for easily understanding and acting on third-party cyber risk, announced its ground-breaking asset valuation algorithms that automatically determine the inherent risk value of any Internet-facing system. Automatically determining asset value is critical to managing cyber risk because it enables organizations to easily create action plans focused on addressing risk.

    “Risk professionals spend too much time analyzing mountains of issues to determine the risk relevance,” explained Kelly White, Co-Founder and CEO of RiskRecon. “RiskRecon automatically contextualizes every issue with issue severity and asset value that enables professionals to easily identify risk priorities and needed action.”

    RiskRecon visually summarizes issue risk priority within a “Risk Prioritization Matrix,” showing each issue within the context of issue severity and asset risk value. Summarizing the risk priority of 3,000,000 issues existing in commercial Internet-facing systems reveals that only 0.12% are critical severity issues in high-value assets. “The vast majority of risk resides in less than 6% of total issues,” explained White. “RiskRecon enables you to easily identify the issues of risk that matter and, just as importantly, identify the issues that don’t.”

    Jack Jones, Chairman of the FAIR Institute and Co-founder of RiskLens, noted that: “Far too much energy in information security is wasted on resolving issues that don’t matter. As the FAIR model promotes, effective risk management requires understanding the probable frequency and magnitude of loss; that depends on understanding asset value. I am really pleased to see RiskRecon bring the ability to automatically determine asset value to market.”

    RiskRecon’s asset valuation algorithms automatically assign a value to cyber assets such as systems, domains, and networks. The algorithms also tag each asset with value indicators, including the system’s functionality and the data types it collects; these indicators enable risk professionals to immediately understand any asset’s value.

    Deployed to third-party risk management, RiskRecon’s automated risk assessments provide the most precise visibility into vendor cyber risk performance, enabling dramatically better third-party risk outcomes with much greater efficiency.

    RiskRecon customers use this capability to better solve third-party cyber risk, enabling them to identify and act on the vendors and issues that expose them to the greatest risk. Organizations also leverage RiskRecon to better understand their own risk surface and exposures.

    About RiskRecon

    RiskRecon is the only continuous vendor monitoring solution that delivers risk-prioritized action plans custom-tuned to match your risk priorities, providing the world’s easiest path to understanding and acting on third-party cyber risk. Partner with RiskRecon to build your scalable, third-party risk management program to realize dramatically better risk outcomes. To learn more about RiskRecon’s approach, request a demo or visit the website at www.riskrecon.com.

    Connect with RiskRecon:

    LinkedIn: https://www.linkedin.com/company/riskrecon/