devopsy.kinsta.cloud

Author: Deborah Schalm

  • Granulate Releases Open-Source Continuous Profiler to Identify Inefficiencies in Production Code

    Granulate’s new open-source platform enables organizations to run low-overhead, continuous profiling in production to identify bottlenecks, improve code quality, optimize performance and save on computing costs – both cloud and on-prem

    Tel Aviv, Israel. February 25th, 2021– Granulate, a provider of autonomous real-time computing workload optimization and cost reduction solutions, today announced the release of its open-source platform, the G-Profiler, a production profiling solution that measures the performance of code in production applications to facilitate compute optimization. Granulate’s G-Profiler empowers R&D and DevOps teams to maximize their applications’ performance, improve the quality of their code and reduce cloud costs – all with simple installation and no code changes.

    Current profiling solutions require code changes and are either hard to use, resource-intensive, or expensive, creating significant challenges for the use of profiling in production, or forcing teams to use the solutions for limited durations. These challenges are amplified in modern environments and workloads which require continuous profiling data aggregated across the entire cluster with jobs across multiple batches – such as Kubernetes-based environments and Big-Data workloads.

    The non-continuous nature of traditional profiling creates substantial visibility gaps, resulting in unidentified bottlenecks and inefficiencies, making it unsuitable for such environments. Granulate’s G-Profiler overcomes these challenges by aggregating profiling data across multiple nodes and multiple application languages over any time frame, with no code changes or performance penalties. These new capabilities will enable development teams to identify and optimize performance bottlenecks more efficiently, in any environment.

    The G-Profiler is based on internal tools created by Granulate’s R&D teams as part of the company’s real-time continuous optimization solution. Granulate has decided to open-source the product to support the community and accelerate industry awareness of computing inefficiencies that may otherwise go undetected.

    “In this cloud-native age, code profiling is more important than ever for improving application performance, taming cloud costs, and increasing margins. The G-Profiler is a very powerful tool that allows development teams to gain visibility and improve performance,” said Asaf Ezra, CEO of Granulate. “Due to complexity of implementation and performance overhead, many teams could not afford to utilize such tools, so we are releasing the G-Profiler to allow them to reap the benefits of a code profiler without having to make changes in their code. This is a major milestone in our effort to commoditize real-time continuous optimization in order to enable hyperscale performance and cost-efficiency for all.”

    Granulate’s G-Profiler provides several unique benefits for development and software engineers managing production applications:

    • Open-source: An open-source package for community use
    • Plug and play installation: Seamless installation without code changes and minimal effort
    • Immediate visibility:  Facilitates immediate visibility into production code – up and running in less than 5 minutes
    • Low overhead: Minimal performance overhead, less than 1% utilization penalty
    • Continuous: Designed to work continuously, facilitating effective analysis of performance issues in all environments, in real time
    • Wide coverage: Native support for Java, Go, Python, Scala, Clojure, and Kotlin applications. Support for Node.js, Ruby, and PHP planned by end of Q1

    The G-Profiler  is available as an open-source package from GitHub, or try the free public image in AWS, Azure, and GCP or a free container image in the Docker registry.For more information, please visit: profiler.granulate.io

    About Granulate

    Granulate is a real-time, autonomous computing optimization company that delivers reduced compute costs, faster response time, and better throughput, without any code changes required. Granulate’s patent-pending next-generation solution provides AI-driven, infrastructure and workload optimization for robust compute performance and cost improvements in any computing environment, empowering businesses of any size from any industry by bolstering their computing power while slashing computing costs. Companies that have implemented Granulate have reduced compute expenses by up to 60%, benefitting from a 40% response time reduction and 5X increase in throughput. For more information, visit: Granulate.io

  • Cyara Deepens Relationship with AWS to Enable Seamless Customer Migrations and Scalability with Amazon Connect

    A Leading CX Assurance Provider Joins AWS ISV Accelerate & Public Sector Partner Programs

    REDWOOD CITY, Calif. – February 25, 2020 – Cyara, provider of the award-winning Automated CX Assurance Platform, today announced the company has been accepted to the Amazon Web Services (AWS) Public Sector Partner Program, as well as the AWS ISV Accelerate Program, a co-sell program for AWS Partners who provide software solutions that run on or integrate with AWS. Cyara simplifies the process for customers migrating on-premise contact centers to the Amazon Connect cloud contact center while increasing the speed of the migration and improving quality through automated testing coverage. Cyara is a member of the AWS Partner Network (APN) as an AWS Technology Partner.

    “Cyara is proud to be a member of the AWS Partner Network,” said James Isaacs, President of Cyara. “We’re thrilled to be recognized as a leader in automated testing and validation, and to see the results of our relationship with AWS through the success of our customers’ migrations to Amazon Connect. We look forward to continuing to grow and expand alongside the Amazon Connect program.”

    Customers of Cyara’s Automated CX Assurance Platform see:

    • Reduced time to test by 80% by automating manual processes
    • Shortened development cycles by 40%-70% by accelerating testing
    • Improved quality by increasing automated test coverage by up to 800%
    • Gain confidence that their new contact center platform is functioning as designed.

     

    Cyara’s acceptance into the AWS ISV Accelerate program enables the company to gain access to active AWS customers through collaboration with the AWS Sales organization. Close collaboration with the AWS Sales team enables Cyara to provide better outcomes to AWS customers, as AWS ISV Accelerate Partners and the AWS team work together to vet and identify the best solutions available to customers.

     

    The AWS Public Sector Partner (PSP) Program recognizes AWS Partners with solutions and experience in delivering government, education, and nonprofit customer missions around the world. Acceptance into the AWS PSP Program enables Cyara to expand the company’s relationship with AWS and become eligible for additional AWS Partner benefits.  As an AWS Technology Partner, Cyara will develop solutions to be featured on the AWS Solution Library. The full benefits surrounding Cyara’s APN status can be found here: aws.amazon.com/partners/technology/.

     

    Cyara is proud to grow and expand alongside Amazon Connect and assist AWS customers with cloud migrations. Cyara’s demonstrated expertise in cloud-based solutions and its experience assisting customers in their cloud migrations of AWS customers has led to the creation of a joint e-book on cloud migration, published by Cyara and AWS. The e-book is available here: https://cyara.com/wp-content/uploads/2020/12/AWS_Cyara_Q3-2020_Contact_Center_PCC_eBook_Final.pdf.

    Cyara provides a comprehensive platform for ensuring that customer journeys are working as designed across digital and voice channels. The Cyara Accelerator for Amazon Connect also makes migrations to Amazon Connect easier by taking enterprise customers through five easy steps for migration to Amazon Connect: design, build, test, deploy and maintain. For more information on the Cyara Accelerator for Amazon Connect, please visit the information page here: cyara.com/partners/aws-partner-network/.

     

    About Cyara

    As the world’s leading Automated CX Assurance platform provider, Cyara accelerates the delivery of flawless customer journeys across digital and voice channels while reducing the risk of customer-facing defects. Every day, the most recognizable brands in the world trust the Cyara Platform to deliver customer smiles at scale. For more information, please visit cyara.com.

  • Hazelcast Releases Cloud-based Architecture for Financial Services Risk Management Applications

    Hazelcast Cloud Enterprise is now available on all major clouds, including Google Cloud Platform

    San Mateo, Calif., February 24, 2021 – Hazelcast, the fast cloud application platform, is releasing a reference implementation that simplifies a financial service organization’s ability to execute and scale financial risk calculations in the cloud while gaining real-time performance and fully-utilizing the resource-heavy investment. Additionally, Hazelcast is also announcing the availability of its managed service, Hazelcast Cloud Enterprise, on Google Cloud Platform (GCP), which was used as the environment for this reference implementation.

    Credit value adjustment (CVA) is the financial measure of risk for a given set of trades should the counterparty default on its obligations. The Hazelcast reference architecture showcases how an in-memory computing platform can leverage the advantages of cloud environments, especially around elasticity and agility. CVA calculations are large-scale computational jobs, and the ability to scale on-demand lets financial services firms control their computing costs by only paying for the resources they use.

    “The economic benefits of the cloud are well-noted, especially around the ability to only pay for the resources you consume. On-premises deployments that are dedicated to specific workloads do not fully utilize the available resources, so you do not get full value on your infrastructure investment,” said John DesJardins, chief technology officer (CTO) at Hazelcast. “For use cases where latency, predictability and scale are critical, such as this risk management scenario, Hazelcast is providing the financial services industry with a blueprint for migrating mission-critical applications to the cloud and using ultra-fast in-memory technologies to gain a competitive advantage.”

    Implementation Details

    Once in-memory technologies are implemented, trades can be loaded from a database and distributed across a caching layer of multiple nodes. The input can then be fed into a compute grid to run blocks of calculations in parallel, capturing the results back to more distributed caches. In this scenario, a large server farm of around 40,000 cores is often required to complete the massive number of calculations in minimal time.

    Hazelcast distributed data store with data-aware stream processing takes this model from a batch method to a pipeline approach that pushes input data to the calculation farm, orchestrates the computations efficiently and then aggregates the results as they are produced. The “straight-through processing” approach eliminates data writes at each stage of the computation, thus further accelerating the overall speed of the calculation. The benefit is that customers can move from daily or maybe hourly, to enabling ad hoc calculations based on any events that might change market dynamics. This evolution allows financial institutions to react more quickly to changing market conditions, whether those are triggered by business news, a national disaster, geopolitical events or other factors. Cost-effective risk management benefits not only financial institutions but the broader markets and global economy.

    When deploying this implementation in the cloud, as it was in GCP for this demonstration, companies are easily able to scale infrastructure to adjust to the volume of calculations or required runtime. Demonstrating this cloud-native approach, Hazelcast scaled its usage of GCP to a cluster of 300 containerized Hazelcast nodes, running across a Kubernetes cluster of 110 virtual machine instances based on Intel Cascade Lake hardware. With a traditional on-premises approach, a large number of machines would have to be purchased, forcing the customer to make an economic compromise that selects a machine count somewhere between peak load and low load counts, being ideal for neither.

    Hazelcast Cloud Enterprise

    Hazelcast Cloud Enterprise is a managed service where Hazelcast experts maintain the software deployment on behalf of customers, freeing employees to focus on developing business-critical applications to improve real-time insights. With its availability on GCP, Hazelcast Cloud Enterprise is now available on all major clouds, including Amazon Web Services (AWS), Microsoft Azure and IBM Cloud.

    Featuring built-in WAN Replication, Hazelcast Cloud Enterprise can efficiently replicate data from any location to another, ensuring the availability of an application and its data. This multi-cloud strategy enables a broader range of geographic data distribution to run applications and data closer to the end-users, enabling a greater level of availability by providing active replica clusters across zones, regions, cloud providers, and on-premises sites. Developers can thus build business applications on the same application framework no matter where the application is deployed, even at the edge or in hybrid cloud environments.

    For more information on the CVA reference implementation and its benefits, download the whitepaper here: https://hazelcast.com/resources/credit-value-adjustment-calculation-reference-implementation/

    To get started, Hazelcast offers a Starter version of Hazelcast Cloud Enterprise that is ideal for development and test scenarios here: https://hazelcast.com/get-started/

     

    About Hazelcast, Inc.
    Hazelcast is the fast, cloud application platform trusted by Global 2000 enterprises to deliver ultra-low latency, stateful and data-intensive applications. Featuring real-time streaming and memory-first database technologies, the Hazelcast platform simplifies the development and deployment of distributed applications on-premises, at the edge or in the cloud as a fully managed service.

    Hazelcast is headquartered in San Mateo, CA, with offices across the globe. To learn more about Hazelcast, visit https://hazelcast.com.

     

  • LogicMonitor Acquires Airbrake to Accelerate Performance Monitoring and Unified Observability Roadmap

    Cloud-based product suite automates visibility into application errors and performance

    SANTA BARBARA, Calif., February 23, 2021 – LogicMonitor, the leading cloud-based infrastructure monitoring and observability platform, today announced that it has acquired Airbrake, a developer-centric application error and performance monitoring company. The acquisition will extend LogicMonitor’s award-winning ITIM platform into developer environments and will enable customers to gain visibility into continuous integration and deployment (CI/CD) workflows to ensure that every code release delivers a flawless customer experience.

    “Our product vision has always been to equip enterprises and service providers with the industry’s most comprehensive, extensible and intelligent performance monitoring and observability platform,” said Kevin McGibben, CEO of LogicMonitor. “LogicMonitor is committed to helping our customers and partners meet the challenges of today’s ever-changing technology landscape and gain visibility into the end-to-end technology performance that drives their organization, regardless of what tech stack their business is built on. Today’s acquisition of Airbrake marks the latest step in our journey towards unified observability.”

    Airbrake was founded in 2008 and is based in the Bay Area. The company was created to solve problems of code and performance issues impacting production environments, and received a funding round in 2020 led by Elsewhere Partners. Hundreds of engineering teams at enterprises ranging from Ring, Adobe, SoundCloud to MyFitnessPal use Airbrake today. Airbrake’s cloud-based, agentless solution enables developers, QA, Engineering and DevOps teams to:

    • Access on-demand application error and performance monitoring, plus automatic user experience insights for fast-moving test, staging, and production environments.
    • Deliver frictionless code deployments and automated analysis and troubleshooting for microservices-based applications.
    • Gain deep code and user experience insights into a wide variety of applications with coverage for 20+ front end and back end programming languages, including Node, Go, Python and Ruby on Rails.
    • Keep code and user data secure with industry-leading protocols and protections.

    “We’re very optimistic about what LogicMonitor’s acquisition of Airbrake means for customers. Having infrastructure monitoring, logs, and error and performance monitoring accessible within a single observability platform is the ideal solution for a global organization like ours,” said Oscar Garcia, Senior Vice President, Managed Services & Platform Automation, NTT. “LogicMonitor and Airbrake coming together will likely result in a platform that will give teams the ability to detect bugs and prioritize code fixes in the early stages of the software development life cycle, and will enable businesses to reduce outages and maintain the SaaS-based applications instrumental to today’s digital business operations.”

    The Airbrake acquisition marks the second acquisition in just over a year for LogicMonitor, who also acquired Stockholm-based log analytics company Unomaly in January 2020. The terms of the Airbrake transaction will not be disclosed.

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    About LogicMonitor®

    At LogicMonitor®, we expand what’s possible for enterprises and MSPs through infrastructure monitoring and observability software. LogicMonitor seamlessly monitors everything from networks to applications to the cloud, empowering companies to focus less on problem-solving and more on evolution. Our cloud-based platform helps ITOps, developers and business leaders see more, know more, and do more. For more information, visit www.logicmonitor.com.

  • DIGITAL GUARDIAN DEEPENS RELATIONSHIP WITH AWS

    Amazon Macie integration, Amazon WorkSpaces support, achievement of AWS Advanced Technology Partner status, and availability in AWS Marketplace point to growing momentum.

     

    WALTHAM, Mass. – February 24, 2021 – Digital Guardian, a leader in data loss prevention (DLP) and managed detection and response (MDR), today announced it significantly enhanced its relationship with Amazon Web Services (AWS) through several key initiatives and achievements:

    Integration with Amazon Macie Now Generally Available

    Digital Guardian has announced the general availability of their integration with Amazon Macie, a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and provide additional protection for customers’ sensitive data in AWS. As organizations manage growing volumes of data, identifying and protecting their sensitive data at scale can become increasingly complex, expensive, and time-consuming. Amazon Macie is designed to automate the discovery of sensitive data at scale and lowers the cost of protecting data. Digital Guardian now leverages Amazon Macie to build an integration that extends enterprise data loss prevention from traditional endpoints to AWS.

    For shared Digital Guardian and Amazon Macie customers, this integration provides unified sensitive data discovery and visibility and other compelling benefits, including:

    • The ability to correlate Amazon Macie findings with Digital Guardian Endpoint events, providing visibility into the file lifecycle.
    • Automated alarming and incident tracking of Amazon Macie incidents in Digital Guardian Analytics & Reporting Cloud (ARC) to support complex compliance mandates such as ITAR.
    • On-demand reporting and remediation actions to add an additional layer of protection for sensitive data stored in Amazon Simple Storage Service (Amazon S3) buckets.

    “In 2020, we announced a series of major enhancements to Amazon Macie, including new features, greater availability worldwide, and substantially reduced pricing,” said Dan Plastina, Vice President for External Security Services, Amazon Web Services, Inc. “We are pleased Digital Guardian is now integrated with Amazon Macie, as this allows our shared customers to benefit from unified visibility of sensitive data stored in Amazon S3 buckets, on local network shares, and on endpoint devices. This visibility can then inform policies to protect their data no matter where it resides.”

    “Providing a seamless integration with Amazon Macie was a top product priority at Digital Guardian,” said Mordecai Rosen, Chief Executive Officer, Digital Guardian. “We believe federation is critical to enterprise data protection programs providing the ability to see and manage sensitive data no matter where it resides. Amazon Macie is an effective service for identifying and securing sensitive data in Amazon S3, and with Digital Guardian’s integration we can offer our shared customers unified data visibility and protection from a single pane of glass.”

    Support for Amazon WorkSpaces on Windows

    Amazon WorkSpaces is a managed, secure Desktop-as-a-Service (DaaS) solution. Customers can use Amazon WorkSpaces to provision Windows desktops in just a few minutes and quickly scale to provide thousands of desktops to workers around the globe. Digital Guardian customers are increasingly deploying DaaS to secure remote workers and with the release of version 7.6, Digital Guardian is now certified for Amazon WorkSpaces.

    Achieves AWS Advanced Technology Partner Status

    In October, Digital Guardian achieved AWS Advanced Technology Partner status. As an AWS Advanced Technology Partner, customers can be assured Digital Guardian has met stringent requirements including a thorough assessment of the Digital Guardian Data Protection Platform by AWS experts to ensure conformity with the security and cloud configuration best practices that they demand.

     

    Digital Guardian DLP Service is Available in AWS Marketplace

    With availability in AWS Marketplace, customers can easily subscribe to the cloud-delivered Digital Guardian Data Protection Platform, powered by AWS, to gain instant visibility into their sensitive data as is traverses their enterprise and cloud environment. They can also benefit from a seamless purchase process offered in AWS Marketplace and reduce the overall burden on their procurement, legal and accounting teams.

    “As the global leader in cloud customer experience and contact center solutions, securing our customers’ sensitive data is absolutely paramount,” said Steven Wolford, Chief Information Security Officer, Genesys. “The Digital Guardian Data Protection Platform provides us with deep visibility and flexible controls, enhancing the protection of our data and IP. Additionally, the ability to purchase the platform from AWS Marketplace enabled us to avoid lengthy contract negotiations and streamline the procurement process.”

    ABOUT DIGITAL GUARDIAN

    Digital Guardian is no-compromise data protection. The company’s cloud-delivered data protection platform is purpose-built to stop data loss by both insiders and outsiders on Windows, Mac and Linux operating systems. The Digital Guardian Data Protection Platform performs across the corporate network, traditional endpoints, and cloud applications. For more than 15 years, we have enabled data-rich organizations to protect their most valuable assets with a choice of SaaS or fully managed deployment. Digital Guardian’s unique policy-less data visibility and flexible controls enable organizations to protect data without slowing the pace of their business. To learn more please visit: https://digitalguardian.com/

  • Katana Graph Secures $28.5 Million Series A Financing Round Led by Intel Capital

    Graph processing, AI and analytics company will use new investment to accelerate product roadmap execution, sales and marketing activities

    AUSTIN, TX – February 24, 2021 – Katana Graph, the high-performance scale-out graph processing, AI and analytics company, announced today that it has completed a $28.5 million Series A financing round led by Intel Capital with participation from existing and new investors including WRVI Capital, Nepenthe Capital, Dell Technologies Capital, and Redline Capital. Intel Capital investment director, Vijay Reddy, will join Katana Graph’s board of directors, while Redline’s managing partner Tatiana Evtushenkova, and Dell Technologies Capital president, Scott Darling, will join as board observers.

    “We are delighted to welcome our new investors,” said Keshav Pingali, CEO and cofounder of Katana Graph. “These investments will let us accelerate our product roadmap execution, and continue to expand the use of our technology across a range of industries and innovative applications.”

    Katana Graph’s platform extracts actionable insights from massive unstructured data sets, using high-performance graph algorithms. At the heart of Katana Graph’s solution is the Katana Graph Engine with its accompanying partitioner, communication, virtualization and storage technology modules, which are the culmination of more than a decade of advanced research in graph technology and high performance computing.

     “Katana Graph’s platform helps large enterprises make sense of their large unstructured data sets, and we’re seeing this demand across a variety of industries from social networks to biomedical and pharmaceutical research,” said Anthony Lin, managing partner and Head of Intel Capital. “We are excited to lead Katana Graph’s new funding round based on our collaboration last year where Katana Graph’s technology was optimized for Intel®️ Xeon® processors and Xeon-based clusters. We’re looking forward to helping Katana Graph accelerate their growth.”

    “We are delighted to be investing in Katana Graph and its elite team,” said Scott Darling, president of Dell Technologies Capital. “The Katana platform is a breakthrough solution that integrates data ingestion, querying, and analytics with unprecedented scale and performance to address the data deluge problem for unstructured graph data. We are also excited to back the company given Dell Technologies’ and Katana Graph’s shared roots in the University of Texas at Austin.”

    “I am excited and honored to provide initial capital and partner with professor Keshav Pingali and professor Chris Rossbach to provide the most comprehensive platform for large-scale graph data mining, query and analytics,” said Lip-Bu Tan, chairman of Walden International and founding managing partner of WRVI Capital. “I am pleased to have Intel Capital, Dell Technologies Capital, Nepenthe Capital and Redline Capital join us in building Katana Graph into the leading graph computing platform for multiple vertical markets.”

    The Series A financing builds on an exceptional year for Katana Graph, which saw a rapidly-growing number of enterprise clients in the pharmaceutical, fintech, identity, security, and EDA market segments, as well as strong momentum in the explosive big data analytics market. Katana’s leadership team also includes industry veterans with track records of running successful technology businesses or divisions, including Chris Rossbach, CTO and co-founder, who has held senior roles at VMware and Microsoft Research, and Farshid Sabet, Chief Business Officer, who was GM of Edge AI at Intel. N. R. Narayana Murthy, founder of Infosys and Amy Chang, board member at Procter & Gamble and Cisco, are board advisors for Katana.

    Key features and benefits of the Katana Graph include:

    • Ability to handle massive unstructured data and integrate complex pattern mining workloads on large enterprise data sets and knowledge graphs;

    • Superior performance for complex graph AI, graph pattern mining and graph analytics algorithms;

    • Support for heterogeneous clusters of computing resources including x86 CPUs, ARM CPUs, GPUs and other accelerators; and

    • Ease of development of high-performance graph AI, graph pattern mining and graph analytics applications, and seamless integration with graph querying.

    About Katana Graph

    Katana Graph analyzes unstructured data and enables our partners to make better decisions by solving challenging big data problems through graph analytics and machine learning. Katana Graph combines cutting-edge algorithms, innovation in hardware acceleration, and emerging storage technologies to provide multiple orders of magnitude performance improvements to graph databases, graph analytics and graph mining workloads. Katana Graph’s elite team includes field leaders in graph algorithms, machine learning, graph neural net, programming languages, runtimes, virtualization and storage. To learn more about Katana Graph, visit www.katanagraph.com.

    About Intel Capital

    Intel Capital invests in innovative startups targeting artificial intelligence, autonomous vehicles, datacenter and cloud, 5G, next generation compute and a wide range of other disruptive technologies. Since 1991, Intel Capital has invested US$12.9 billion in more than 1,582 companies worldwide, and 692 portfolio companies have gone public or participated in a merger. Intel Capital curates thousands of business development introductions each year between its portfolio companies and the Global 2000. For more information on what makes Intel Capital one of the world’s most powerful venture capital firms, visit www.intelcapital.com or follow @Intelcapital.

     

  • dotData Launches dotData Cloud for BI Teams to Quickly and Easily Fully Automate AI/ML Development with Enterprise-Grade Performance and Scalability

    Risk-free, all-inclusive bundle delivers full access to end-to-end AI/ML automation, hosting, co-developing use cases to generate measurable business values in 45 days

    SAN MATEO, Calif., Feb. 24, 2021 /PRNewswire/ — dotData, a pioneer in delivering full-cycle data science automation and operationalization for the enterprise, today announced dotData Cloud, a new risk-free, AI-automation software platform and services designed to empower business intelligence (BI) teams with the ability to quickly and efficiently automate 100 percent of AI/ML development with support to help enterprises achieve measurable business value in 45 days. The solution was developed specifically to support growing enterprise organizations with small or no data science teams who want to launch or accelerate their data science practice.

    At the core of dotData’s new cloud-based offering is access to dotData’s highly-available and infinitely-scalable enterprise-grade full-cycle data science automation platform, which accelerates ROI and lowers the total cost of model development by automating the entire data science process at the core of AI/ML.

    dotData customer sticky.io enables thousands of businesses to manage their back-end operations on a unified ecommerce platform. Their offering, a fully integrated subscription management and recurring billing platform, captures a lot of data with customer flows from providers such as processing, fulfillment, marketing, customer support and more.

    Sticky.io’s data science and analytics team wanted to apply automated machine learning to quickly analyze customer data to spot specific patterns from the data from the hundreds of millions of transactions they were seeing. The team evaluated several AutoML tools, but found that the amount of data prep needed to get value would be too high. Additionally, the structure, complexity, and nature of the data used by sticky.io meant that generating and evaluating feature value was more critical than merely automating the process of developing ML models. dotData Cloud’s feature automation and selection capabilities were keys for the sticky.io team in choosing dotData.

    “Before dotData, querying data, finding the right format, moving data to a new hosted cluster and testing models could take more than a month — only to find out the model did not work,”  said Justin Shoolery, Director of Data Science & Analytics, sticky.io. “Now I can offload most of that work and just focus on uncovering patterns and finding viable models. With dotData Cloud, we feel that finally we have a solution that is very promising.”

    “As the demand for AI and ML capabilities continues to rapidly increase, we are seeing a big need in the market for full-cycle automation platforms, particularly among smaller to medium-sized companies that do not have well established data science teams or the resources to build them,” said Ryohei Fujimaki, Ph.D., founder and CEO of dotData. “dotData Cloud provides access to advanced AI/ML development tools in a cloud-based platform to empower BI teams to fully-automate the data science process, enabling them to build, deploy and scale AI models literally in a few hours. Not only are they able to more rapidly realize value from their data, but dotData’s automated feature engineering capability also delivers thousands of more insights from the same data.”

    dotData Cloud is currently available as an all-inclusive bundle that includes technology and support to assist organizations in developing and deploying their first model, with a 45-day, risk-free, no-money guarantee. The dotData Cloud bundle features:

    • 100% Cloud-based platform with enterprise-grade performance and scalability
    • 45-Day “Risk-Free” pay nothing upfront, cancel in the first 45 days
    • Build AI models quickly with no effort with end-to-end AI automation
    • Full support to onboard your first AI model included free of charge

    dotData provides AI Automation solutions that help accelerate the process of developing AI and machine learning models for use in advanced predictive analytics BI dashboards and applications. dotData makes it easy for data scientists, BI developers and data engineers to develop AI/ML capabilities in just days by automating the full life-cycle of the data science process, including feature engineering. dotData’s AI-powered feature engineering automatically discovers, evaluates and features by transforming hundreds of tables with complex relationships and billions of rows into a single feature table, automating the most manual data science projects that are fundamental to developing predictive analytics solutions.

    dotData helps data scientists scale and augment their data science practice by allowing them to build, evaluate and deploy features they might have not considered by automatically discovering hidden patterns within enterprise data. It also democratizes data science by enabling BI developers and data engineers to make enterprise data science scalable and sustainable. dotData can automate up to 100 percent of the AI/ML development workflow, enabling users to connect directly to their enterprise data sources to discover and evaluate millions of features from complex table structures and huge data sets with minimal user input. dotData is also designed to operationalize AI/ML models by producing both feature and ML scoring pipelines in production, which IT teams can then immediately integrate with business workflows. This can further automate the time-consuming and arduous process of maintaining the deployed pipeline to ensure repeatability as data changes over time. With the dotData GUI, AI/ML development becomes a five-minute operation, requiring neither significant data science experience nor SQL/Python/R coding.

    For more information on dotData Cloud or for a demo of dotData’s AI-powered full-cycle data science automation platform, please visit dotData.com.

    About dotData

    dotData pioneered AI-Powered Feature Engineering to accelerate and automate the process of building AI/ML models, to drive higher business value for the enterprise. dotData’s automated data science platform accelerates ROI and lowers the total cost of model development by automating the entire data science process that is at the heart of AI/ML. dotData ingests raw business data and uses an AI-based engine to automatically discover meaningful patterns and build ML-ready feature tables from relational, transactional, temporal, geo-locational, and text data. dotData’s scalable, flexible platform enables data data scientists to discover and evaluate outstanding AI features; and empowers business intelligence professionals to addAI/ML models to their BI stacks and predictive analytics applications quickly and easily. Fortune 500 organizations around the world use dotData to accelerate their ML and AI development to drive higher business value.

    dotData has been recognized as a leader by Forrester in the 2019 New Wave for AutoML platforms. dotData has also been recognized as the “best machine learning platform” for 2019 by the AI breakthrough awards, was named an “emerging vendor to watch” by CRN in the big data space and was named to CB Insights’ Top 100 AI Startups in 2020. For more information, visit www.dotdata.com, and join the conversation on Twitter and LinkedIn.

     

  • Zorroa launches Boon AI; no-code machine learning for media-driven organizations

    Delivering simplified integration of multi-vendor machine learning APIs, Boon AI reduces months-long development cycles down to one hour

    Zorroa Corp., one of the world’s leading providers of accessible machine learning (ML) integration solutions backed by Gradient Ventures, Google’s AI-focused venture fund, today officially launched a first-of-its-kind ML SaaS platform, Boon AI. Boon unlocks the ML API ecosystem through a single point-and-click visual interface, reducing cost of ML adoption and making ML accessible as a competitive differentiation in media-driven organizations.

    The Boon platform is now available in the Google Cloud Marketplace.

    Businesses struggle to find a way to test, evaluate, and discover optimal business cases for ML without the traditionally high costs and months or years of lead time. The proliferation of cloud services, a shortage in tech talent, and the risk and unpredictable nature of data science only add to the complexity. Boon enables media technologists to integrate ML capabilities into their digital media supply chain via APIs in a matter of days or even hours. Boon drives workflow automations and opens up new revenue streams that would otherwise not be feasible without AI and machine learning.

    “We’re excited to partner with Zorroa and to help deliver its machine learning integration platform on Google Cloud,” said Kip Schauer, Global Head of Media & Entertainment Partnerships at Google. “With just a few clicks, customers can deploy Boon AI on the Google Cloud Marketplace to help break down the machine learning adoption barrier and enable workflow efficiencies and new revenue streams.”

    Boon is an easy-to-deploy, ML integration platform that modernizes media supply chain workflows by:

    1.   Enabling ML projects to be kicked off without code, in under an hour:Customers can stand up ML projects quickly without vendor integrations, ML domain expertise, or dedicated development teams, accelerating time to first proof of concept.
    2.   Supporting multi-vendor interoperability:With Boon, customers get direct access to the ML ecosystem that includes Google Cloud, AWS, and Azure ML APIs, and can seamlessly integrate ML-generated metadata into their media management or production applications without breaking their existing workflows.
    3.   Scaling rapid-cycle innovations:Boon eliminates months of development time and arms media technologists with the tools they need to build ML-powered applications with the agility of traditional software development.

    “We had figured out ways for our customers to extract value from massive volumes of media, but it still required high levels of custom engineering that led to a rigid process and was never going to scale. We needed to make ML innovations more accessible by making it easy for customers to leverage the growing ecosystem of ML APIs through a single GUI, and that’s Boon AI,” said Marc Stevens, President and CEO of Zorroa. “Boon allows media technologists to quickly stand up machine learning initiatives, run agile experiments, and accelerate their ML innovation projects with lower risk levels, compressing what would have otherwise been years of development down to days or even hours.”

    Just as no-code software allows for app development without programming knowledge, Boon AI allows for ML API integrations without dedicated development or data science teams. With Boon, organizations that previously did not have access to AI/ML can now run agile experiments and rapidly scale projects by taking advantage of its capabilities:

    • A single visual interface for accessing Google Cloud, AWS, and Azure ML APIs without vendor integrations
    • Easy ML implementation for automating media management tasks including metadata tagging, image classification, speech-to-text, and content moderation
    • Ability to seamlessly integrate ML predictions into existing apps using Python SDK and REST API
    • Media ingestion and pre-processing at scale
    • The infrastructure to evaluate, store, index, and search the ML results

    Learn more about the smartest way to integrate machine learning into your media applications: www.boonai.io.

    About Zorroa Corp:

    Zorroa, backed by Gradient Ventures, Google’s AI-focused venture fund, is the leader in agile, API-based machine learning integrations. Founded in 2014 by Academy Award™ and Emmy® winning media technologists, Zorroa is a diverse team dedicated to breaking down the barriers of AI/ML adoption through its highly accessible, no-code/low-code platform. Its Boon AI platform was built by and for media technologists determined to help organizations accelerate and broaden the reach of ML innovations by breaking down the complexity of traditional data science projects.

  • CloudBolt Software Releases OneFuse Community Edition, Free Version of Its Award-Winning Enterprise Codeless Integration Platform

    Free offering helps administrators and architects simplify and centralize configurations for vRealize Automation blueprints and Terraform plans; New OneFuse Community site brings together vRA, Terraform, and DevOps professionals to share best practices and tips & tricks related to IT automation initiatives

     

    NORTH BETHESDA, MD, February 24, 2021 — CloudBolt Software, the enterprise cloud management leader, today announced the launch of OneFuse Community Edition, a free version of its codeless integration platform for automating, integrating, and extending private and hybrid cloud infrastructures. OneFuse Community Edition helps thousands of architects and administrators work smarter by simplifying and centralizing configurations for vRealize Automation (vRA) blueprints and Terraform plans. In addition, the launch of the new OneFuse Community site brings together deep use cases and best practices related to advancing IT automation initiatives for vRA, Terraform, and other toolsets.

    Today, DevOps and automation architects typically need to create hundreds of unique configurations or develop custom code when provisioning resources like servers and applications, across different toolsets and underlying technologies. This increasing sprawl and tool-specific customization leads to high maintenance costs, lack of standardization, and compliance and security gaps. These problems only increase as organizations invest in more infrastructure and operations (I&O) management tools. According to Gartner, by 2025, organizations will have an average of five I&O management tools from markets that do not exist in 2020.

    “Time after time, we saw companies struggle to easily manage their provisioning processes, especially as they brought new toolsets into their organizations,” said David Coulter, Office of the CTO, at CloudBolt Software. “The need to build and maintain configuration records for every single resource—across scripts, vRA, Terraform, and other toolsets—often led to standardization and compliance gaps. With OneFuse Community Edition, enterprises now have an easy, free way to work smarter, not harder. They can centrally manage their configurations, while gaining an on-ramp for even greater centralization of IT services like networking and security with the OneFuse Enterprise Edition.”

    “OneFuse Community Edition is a great way for vRA and Terraform users to test-drive OneFuse capabilities,” said John Tejada, Cloud Management Practice Lead at World Wide Technology. “We’re excited to partner with CloudBolt in this offer and provide our customers with a way to simplify their integrations, which are often the most time-consuming and complex parts of accelerating infrastructure automation initiatives. With OneFuse, we are looking at integrations in weeks, not months.”

    Built on the power of the OneFuse Enterprise Edition, the OneFuse Community Edition comes with the following capabilities to unlock new use cases in vRA and Terraform while driving down complexity:

    • Ability to centrally define, store, and update configuration properties and tags to  standardize provisioning
    • Simple, tag-based implementation that allows administrators to dynamically drive configurations across multiple platforms, thereby reducing manual efforts
    • Ability to easily complement and extend native variable, property, and tagging capabilities in vRA 7.x, vRA 8.x, and Terraform for more powerful use cases
    • Ability to dynamically create or read OneFuse Property Sets within vRA Cloud Assembly templates to drive configurations for any type, not just machines
    • Ability to migrate vRA7 “Property Groups” to OneFuse Property Sets and consume those configurations across vRA7, vRA8 and Terraform

    “After introducing the OneFuse platform last year, we knew we wanted to build a community around the product especially as enterprises continued to invest in new automation tools, cloud management platforms, and infrastructure-as-code,” said Jeff Kukowski, CloudBolt’s chief executive officer. “Given that automation complexities are unique to every business, OneFuse Community Edition will provide customers, partners, and prospects with a simplified way to manage and reduce this complexity as they move through their hybrid cloud journey.”

    Infrastructure and automation professionals who want to achieve greater automation flexibility have the option to upgrade the OneFuse Enterprise Edition include integrations with common enterprise service providers, such as Infoblox, Microsoft Active Directory, Ansible Tower, and others. To download OneFuse Community Edition, visit onefuse.cloudbolt.io.

    About CloudBolt Software

    CloudBolt Software is the enterprise cloud management leader. With our comprehensive solutions for IT integrations, orchestration and self-service IT, cost optimization, and security, we help enterprises simplify complexity and achieve rapid time-to-value anywhere on their hybrid cloud, multicloud journey. Our award-winning cloud management platform and codeless integration solutions are deployed and loved by enterprises worldwide. Backed by Insight Partners, CloudBolt Software has been named one of the fastest-growing private companies on the Deloitte Fast 500 and Inc. 5000 lists. In addition, CloudBolt is 2020 CODiE award winner for best cloud management and featured in Gartner’s Magic Quadrant for Cloud Management Platforms. For more information, visit www.cloudbolt.io.

  • Applause Product Excellence Platform Empowers Brands to Deliver Exceptional Digital Experiences

    First-of-its-Kind Platform Includes New Codeless Automation SaaS Product to Mature Automation Practices Faster, and New In-Sprint Testing Solution to Shift Quality Testing Left

    Boston–February 24, 2021 – Applause, the worldwide leader in enabling digital quality, today launched its first-of-a-kind Product Excellence Platform (PEP). The PEP provides the comprehensive approach to quality that brands need to deliver exceptional digital experiences to their end users.

    It does so by combining world-class software products, an enterprise-grade SaaS testing infrastructure, a wide range of digital testing solutions and access to the world’s largest community of digital experts. This harmonized approach gives brands the insights and expertise they need to release their digital assets with greater velocity and confidence.

    Digital experiences are the principal ways that brands connect with their customers, a trend that was only exacerbated by the COVID-19 pandemic. The Product Excellence Platform gives brands the unparalleled insight into the quality and completeness of their digital assets that they need to meet the demands of today’s end users.

    “Customers today are won and lost through digital experiences. That is why the quality of digital assets – mobile apps, websites, voice-driven experiences and more – is critical to get right,” said Doron Reuveni, Applause’s CEO, Founder and Chairman of the Board. “To meet these needs, Applause continues to disrupt the testing market, having evolved from a services and solutions company to one that delivers a complete platform for driving product excellence. While others offer point tools, the PEP is the first holistic answer for digital quality and product excellence for the enterprise. This focus on quality and exceptionalism helps our clients ensure their end users keep coming back to the digital experiences they love.”

    The Applause Product Excellence Platform is completely open and integrates with clients’ existing processes for ease of use. It is built on five core pillars:

    1. SaaS Products: Offerings currently include the Applause Codeless Automation and Bring Your Own Testers (BYOT) SaaS products. Later this year, a test case management product will also launch, meeting a range of diverse client needs.
    2. Multi-Point Testing Solutions: Fully integrated functional testing capabilities and specialized testing work together as part of the PEP to solve for the complexities that exist across customer interactions and journeys.
    3. Deep Domain Expertise: Strong domain knowledge of a wide range of vertical industries and use cases, including retail, media & entertainment, financial services, travel & hospitality, healthcare and IoT.
    4. Enterprise-Class SaaS Infrastructure: The open and enterprise-class SaaS infrastructure that underpins the Product Excellence Platform integrates seamlessly into clients’ existing SDLC, testing and development processes to speed up testing and increase release velocity and confidence.
    5. Global Testing Community: Applause’s uTest community of digital experts serves as the foundation of the PEP, connecting the world’s innovators with the world’s users.

    Today, Applause also announced two new offerings that expand the footprint of the Product Excellence Platform.

    Applause Codeless Automation SaaS Product Generates Test Scripts Quickly and Easily

    With the pace of change moving faster than ever, the quality of digital experiences and the speed at which they can be delivered has become paramount. Brands must get exceptional digital assets into the hands of their end users quicker than competitors, or they risk losing market share. This requirement for quality at the speed of development has led test automation to take on greater importance across all industries. However, building and maintaining a complete automation framework takes time, and hiring SDETs (Software Development Engineer in Test) – who are high in demand and low in supply – can be cost-prohibitive.

    To address these needs, Applause today announced its new Applause Codeless Automation (ACA) SaaS product. ACA enables brands’ employees to create test automation scripts without writing a single line of code.

    With ACA, any user can simply pick a device of their choice, and as they move through the test case, their actions are automatically recorded. The ACA product then translates that session into an automation script. This streamlined process results in increased speed, faster releases and reduced costs.

    The new software offering lowers the barrier to entry to automation, accelerates teams’ ability to drive coverage and allows them to mature and scale their test automation capabilities. Seamless integration with leading environments through an open API enables teams to execute codeless test scripts on real devices for native Android and iOS mobile apps, with Web support coming soon. All issues are automatically captured and added to clients’ existing bug tracking systems, and scripts will comply with Appium and Selenium for ease of use.

    “The Applause Codeless Automation product is something unique in the low-code/no-code testing space, as it is built for the enterprise – starting with the most advanced mobile support for both iOS and Android,” said Rob Mason, CTO of Applause. “ACA is valuable for multiple stakeholders – those responsible for business applications can use ACA to test apps without needing SDETs or outside help, and DevOps managers can import the test scripts generated by ACA into their existing pipelines. By addressing testing needs throughout organizations, ACA has the power to not only reduce the costs typically associated with automation, but it will also help brands get to full-fledged automation capabilities faster.”

    To learn more about ACA, please contact Applause to receive a demo.

    Applause In-Sprint Testing Helps Organizations Shift Testing Left and Close Development Tickets Faster

    Applause In-Sprint Testing shifts testing further left in the SDLC so that issues are identified earlier on and can be fixed faster. This testing of features as they are being developed helps make the development and testing process more iterative and lowers the cost of bug fixes.

    Applause’s API capabilities and two-way integration with clients’ bug tracking systems mean in-sprint testing can be executed entirely from within brands’ systems and processes. Developers can send new features to Applause for manual testing and receive feedback and results almost immediately.

    This quick turnaround means teams can identify issues earlier in the process to avoid late-stage bug fixes and the higher costs that come with them, and developers don’t have to risk context switching or re-acclimating themselves to code from days or weeks earlier.

    Applause is committed to delivering more value to clients through the Product Excellence Platform. As a result of this evolution to a platform company, new features, solutions and SaaS products will be announced throughout the year and integrated into the PEP.

    Additional Resources:

    • Learn more about the Product Excellence Platform
    • See all of Applause’s products and solutions
    • Read our blog for the latest announcements

    About Applause

    Applause is the worldwide leader in enabling digital quality. Customers are no longer satisfied with digital experiences that are good enough; they demand the exceptional. The Applause Product Excellence Platform provides the world’s leading brands with the comprehensive approach to digital quality needed to deliver uncommonly great digital experiences across the globe – with highly vetted testers available on demand, a complete and enterprise-class technology infrastructure, multi-point digital quality solutions and SaaS products, and expertise across industries and use cases. This harmonized approach drastically improves testing coverage, reduces costs and speeds time-to-market for websites, mobile apps, IoT and in-store experiences. Thousands of leading companies – including Ford, Google, Western Union and Dow Jones – rely on Applause as a best practice to deliver the exceptional products and digital experiences their customers love.

     

    Learn more at www.applause.com.