devopsy.kinsta.cloud

Author: Deborah Schalm

  • Digitate’s ignio™ AIOps For Azure Now Available in the Microsoft Azure Marketplace

    Microsoft Azure customers worldwide now gain access to Digitate’s ignio AIOps for Azure and can fully realize the advantage of the scalability, reliability and agility of Azure to drive digital transformation and shape business strategies.

    SANTA CLARA, Ca, April 8, 2021: Digitate, the leading autonomous enterprise software provider, today announced the availability of ignio™ AIOps for Azure in the Microsoft Azure Marketplace, an online store providing applications and services for use on Azure. Customers driving their Digital Transformation on Cloud can now take advantage of the productive and trusted Azure cloud platform, with streamlined and efficient cloud operations by leveraging ignio™ AIOps for Azure.

    With cloud usage higher than ever before, many businesses have expressed problems in managing their cloud footprint. ignio™ AIOps for Azure offers more efficiency and observability to Azure cloud, making it a necessity for managing activity and overall productivity. ignio™ AIOps for Azure is an AI-driven software that consolidates and builds the context of an Azure subscription, starting from all its resources and their historical capacity and performance metrices, and leverages AI to mine intelligence and insights, leading to recommendations that will ensure smooth operations.

    Further, ignio™ AIOps for Azure judiciously combines the context thus developed along with automated actions to deliver intelligent Azure operations. It acts as an intelligent virtual expert that detects and assesses the deviation in system behavior, triages and resolves the incidents, predicts the future state and prescribes actions proactively to ensure simple and smooth Azure Cloud operations.

    The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners who have developed solutions that are ready to use.

    Paul Maher, GM and Partner at Microsoft Corp said, “We’re pleased to welcome Digitate and ignio™ AIOps for Azure to the Microsoft Azure Marketplace, which gives our partners great exposure to cloud customers around the globe. Azure Marketplace offers world-class quality experiences from global trusted partners with solutions tested to work seamlessly with Azure.”

    ignio™ AIOps for Azure is an out-of-the-box solution with prebuilt integrations and APIs, making it easy for Azure users to quickly integrate and deploy. Key features of ignio™ AIOps for Azure include:

    • Azure Cloud Blueprint provides customers visibility into all resources used within Azure, including normal behavior profiling of utilization and other key metrics and parameters.
    • Azure Cloud Analysis provides cloud waste analysis to show where cloud resources are being appropriately utilized and where they are not, as well as intelligent recommendations on how to minimize or eliminate cloud waste and sprawl.
    • Azure Cloud Health Check is a point in time, comprehensive check of the Azure services or applications that ride on them, taking into consideration the health and appropriate functioning of the service’s underpinning services and its components.
    • Event Management integrates with existing Azure Monitor capabilities and intelligently determines actionable events from the rest by leveraging ignio’s AI capabilities. Using the Blueprint, ignio intelligently detects anomalies among metrices and correlation signatures among events in order to identify and further triage actionable events and incidents.

    “As we continue to rapidly expand our partner ecosystem, we are thrilled to partner with a trusted brand like Microsoft in getting ignio™ AIOps for Azure to the teams that need it most,” said Akhilesh Tripathi, CEO at Digitate. “Our hope is that this integration will be a steppingstone to an era of intelligent IT operations and more manageable cloud environments for businesses around the globe.”

    To find ignio™ AIOps for Azure on the Microsoft Azure Marketplace, see here: https://azuremarketplace.microsoft.com/en-us/marketplace/apps/digitate.aiopsforazure?tab=Overview

    About Digitate

    Digitate is a leading software provider bringing agility, assurance, and resiliency to IT and business operations. ignio™, an award-winning AIOps software, reimagines enterprise IT and business landscape with its unique and innovative closed-loop approach that combines context, insights and intelligent automation to autonomously resolve and prevent issues. ignio’s customers span across industry verticals and include large, global enterprises that are leaders and innovators in their respective industries. Digitate is headquartered in Santa Clara, California, USA and Pune, India. To stay up to date on ignio™ news and to learn more how our clients across the globe have benefited from our innovative solutions: Visit us at www.digitate.com, read the Digitate Blog, and follow Digitate on Twitter and LinkedIn.

     

    Learn more about ignio™ AIOps here: http://www.youtube.com/watch?v=xy3FGkbZNDM.

     

  • No-Code Automation Company, Tines, Valued at $300M After $26M Series B led by Addition

    The opening of a Boston Hub will aid the 18-person team to expand operations globally and attract world-class talent

     

    April 8th, BOSTON, MA and DUBLIN, IRELAND – No-code security automation company Tines have raised $26M in a Series B funding round led by Addition.

     

    The 18-person company is now valued at $300M and have now raised a total of $41.1M in total funding with follow-on funding from high level investors including Accel and Blossom Capital. They also have strategic investment from cyber security backers, CrowdStrike and Silicon Valley CISO Investments.

     

    Tines is on a mission to allow frontline employees focus on more business critical tasks and improve their wellbeing by reducing the burden of ‘busy work’ by helping automate any manual workflow and making existing teams more efficient, effective, and engaged.

     

    Existing customers automating their security operations include largest enterprises and the likes of Box, Canva, OpenTable and Sophos and plans on expanding its product beyond the scope of security automation in the coming year.

     

    Tines helps companies around the globe automate mundane, repetitive tasks freeing up over-burdened engineers and analysts and allowing them to focus on more important activities. Tines does this by making it easy for non-technical employees to automate, with anyone able to learn to use the platform in approximately 3 hours. The company intends to double their team to support product growth in the coming months. Expansion of their team in the US will involve establishing a hub in Boston as they actively recruit world -class talent across multiple areas such as engineering, customer success and sales.

     

    Emphasizing the need for organisations to implement no code solutions, Founder Eoin Hinchy says “ If software is eating the world, automation is eating the enterprise. Yet, the majority of progress in this space still requires non-technical teams to depend on software engineers to implement their automation. Other platforms are generally either too hard to use, not flexible enough or not sufficiently robust for mission-critical workflows like cybersecurity. Tines empowers enterprise teams to automate any of their own manual workloads independently, making their jobs more rewarding while simultaneously delivering enormous value for their organizations.”.

     

    “Tines has quickly established itself as a market leader in enterprise automation,” said Lee Fixel, Founder of Addition, who has joined the board of Tines. “We look forward to supporting Eoin and the Tines team as they continue to scale the business and enhance their product – which is beloved by their unmatched customer base.”

     

    Tines have established themselves in a software category of their own, building software to automate security workflows from the best parts of security orchestration, automation, and response, robotic process automation, and no-code/low-code engineering. By providing automatic ‘click and drag’ solutions, they help organisations to free up analysts  from mundane, time consuming tasks and focus instead on high value, business-critical tasks that have more impact.

     

    83% of security teams are already overwhelmed by the volume of alerts they receive on a daily basis with false positives taking up large amounts of time. Tines eliminates the need for high level engineers to waste resources on these. Its no-code automation software simplifies implementation, lowering the barriers to entry for non-technical employees, making it easier to integrate tools and automate processes that would previously require support from over-qualified and in-demand software engineers, while also reducing costs. Where companies are experiencing a lack of cybersecurity experts to deal with growing numbers of security alerts, Tines’ no-code approach means employees don’t need to be a software engineer or highly technical to use it.

     

    Tines addresses staffing issues in these areas, where companies are finding it increasingly difficult to attract and retain staff on these teams due to repetitive, low-fulfillment workloads, thus leaving current employees burned out from heavy workloads.

     

    Tines software can integrate with anything with a rest API and web application to help organisations get more from existing tools and can be applied to almost every business across a wide range of sectors such as financial services, technology and pharmaceuticals.

     

    About Tines:

     

    Tines is a powerful automation platform that creates space for high impact work through a uniquely flexible, no-code experience.It’s the only platform that bypasses the need for technical skills and delivers powerful automation straight into the hands of security and operations teams on the frontlines. Tines is bringing an impact-first approach to all teams, securely automating thousands of workflows per day across a diverse range of customers, including Coinbase, Box, Canva, Databricks, McKesson, and OpenTable.The company was founded in 2018 in Dublin, Ireland, by Eoin Hinchy and Thomas Kinsella, with the mission to make the lives of IT professionals easier through effortless automation. Tines was valued at $300 million in 2021 and has secured $41.1 million in funding from investors, including Addition, Accel, Index Ventures, and Blossom Capital.

     

    Founders Bios:

     

    Eoin Hinchy

    Eoin Hinchy is Co-founder and CEO of Tines, an enterprise automation start-up that helps the world’s leading security and ops teams automate their manual workloads. Before Tines, he spent 15 years working in security at companies like eBay, PayPal and DocuSign. Eoin has two engineering degrees, a Masters in Security and Forensic Computing from Dublin City University and an MBA from Imperial College London.

     

    Thomas Kinsella

    Before co-founding Tines, Thomas Kinsella led security teams in companies like Deloitte, eBay and DocuSign. As COO, Thomas is responsible for customer success, professional services and more. Thomas has a degree in Management Science and Information Systems Studies from Trinity College in Dublin.

  • Snorkel AI Launches Application Studio, the Fastest Way to Develop AI Applications, and Raises $35 Million in Growth Funding Led by Lightspeed Venture Partners

    PALO ALTO, Calif., April 07, 2021 (GLOBE NEWSWIRE) — Snorkel AI, the company accelerating enterprise AI application development and deployment through programmatic data labeling, today announced Application Studio, a visual builder with templated solutions for common AI use cases based on best practices from hundreds of deployments and research at top academic institutions over the last six years. Application Studio is in preview and will be generally available later this year within Snorkel Flow, the first AI development platform to programmatically label data and train, deploy and analyze models iteratively.

    “Over the years we’ve heard a clear refrain from enterprises working to deploy AI: data is the blocker. In many settings today–for example, ones where privacy, expertise or speed are essential–even the largest organizations can’t afford to manually label the volume of data that modern machine learning approaches require,” said Alex Ratner, co-founder and CEO of Snorkel AI. “Snorkel Flow’s programmatic approach to training data labeling and model development uniquely unlocks these use cases and a whole new way to rapidly and iteratively develop AI applications–which we’re now excited to make increasingly templatized and fast to deploy with Application Studio.”

    According to Cognilytica’s “Data Preparation & Labeling for AI 2020 Report,” 80 percent of AI development time is spent on gathering, organizing and labeling data manually which is used to train machine learning models. Hand-labeling is notoriously expensive and slow with limited ability for development teams to build, iterate, adapt or audit applications in a systematic and privacy-compliant manner. The training data bottleneck has made AI application development an impractical endeavor, and 87 percent of the data science projects never make it into production.

    “Snorkel AI addresses key points of pain for enterprises that need to digitally transform their businesses with production ML. Their data teams struggle to build, train and deploy accurate models at scale because the coding is complex and data volumes keep rising. They need to optimize their use of existing code, accelerate model development and organize training data more efficiently. They also need to collaborate on a common platform that supports the full ML lifecycle,” said Kevin Petrie, Vice President of Research at Eckerson Group.

    Snorkel Flow makes it possible for data scientists, developers and subject matter experts to rapidly create and manage training data, train custom machine learning models, analyze and iterate to systematically improve and adapt and deploy AI applications quickly. With Snorkel Flow, organizations have achieved state-of-the-art machine learning model accuracy in days and 10-100x reductions in development time. Customers include two of the three top US banks, global insurance, biotech and telecommunications providers and several government agencies.

    With the introduction of Application Studio, Snorkel AI lets enterprises develop AI applications faster than ever before. Application Studio provides data scientists, developers and subject matter experts with:

    • Pre-built solution templates: Pre-built solution templates based on industry-specific use cases such as contract intelligence, news analytics and customer interaction routing or common AI tasks such as text and document classification, named entity recognition and information extraction, give enterprise data science teams a head start in developing their own applications. Packaged application-specific pre-processors, programmatic labeling templates, models and features make customizing applications as easy as dragging and dropping new logic into the application flow.
    • High-performance models: Enterprises can use their own private data, labeled programmatically, to train state-of-the-art, open source model libraries available in the platform. Programmatic labeling replaces weeks or months of costly hand-labeling yielding highly accurate model performance.
    • Collaborative workflows: Application Studio allows for an intuitive decomposition of complex applications into modular parts so that data scientists, developers and domain experts can collaborate easily and efficiently.
    • Auditable and adaptable capabilities: With Application Studio, the entire pipeline from training datasets to user contributions is versioned and can easily be audited. With a few lines of code, the applications can adapt to new data or goals. Unlike other application platforms that rely on hand-labeled data, there is no need to start from scratch.
    • Data privacy at enterprise scale: Data breach and bias risks are the largest blockers to applying machine learning to many problem domains and sectors. With Application Studio, training data labeling and management are not only kept in-house but also can be done without humans needing to view the majority of the data—setting a new high bar for practical, private machine learning.

    Snorkel AI Raises a $35 Million Series B Growth Funding Round
    Today Snorkel AI also announced $35 million in Series B funding, bringing the total raised to $50 million. This round was led by Lightspeed Venture Partners; previous investors Greylock, GV, In-Q-Tel and Nepenthe Capital and new investors Walden and funds and accounts managed by BlackRock also participated. The company will use the funding to continue scaling its world-class engineering team and bringing its technology to leading enterprises.

    Ravi Mhatre, Partner at Lightspeed Venture Partners and Snorkel AI Board Member, said: “Enterprises are spending billions of dollars to put AI to use today, and the AI technology market is expected to hit the half a trillion dollar mark in a few years. Snorkel AI is solving one of the biggest problems in AI – the data. With Snorkel Flow, organizations of all sizes, including some of the world’s most sophisticated ones, are applying AI to mission-critical challenges and building solutions previously not possible. The traction has been incredible and they’re just getting started.”

    Additional Resources

    • Join the April 13, 2021 webinar at 9 am PT to learn more about Application Studio: https://snorkel-ai.zoom.us/webinar/register/WN_vqP7XrqmS5W3bVqbDfVWIA
    • Read Alex Ratner’s blog on Application Studio: https://snorkel.ai/introducing-application-studio/

    About Snorkel AI
    Founded by a team spun out of the Stanford AI Lab, Snorkel AI makes AI application development fast and practical by unlocking the power of machine learning without the bottleneck of hand-labeled training data. Snorkel Flow is the first AI application development platform that labels and manages machine learning training data programmatically. Backed by Lightspeed Ventures, Greylock, GV and In-Q-Tel, the company is based in Palo Alto. For more information on Snorkel AI, please visit: https://www.snorkel.ai/ or follow @SnorkelAI.

  • Streamlit Transforms How Data Scientists Share Data, Raises $35 Million in Funding Led by Sequoia

    SAN FRANCISCO, April 07, 2021 (GLOBE NEWSWIRE) — Streamlit, the creators of the fastest and most powerful app framework for machine learning and data science, today formally introduced Streamlit for Teams, the company’s first commercial product. Streamlit for Teams lets data scientists instantly deploy and share apps with teammates, clients and other stakeholders so they can make rapid, data-informed decisions based on the insight from the apps. As of today, the new Teams product is moving out of developer preview into beta before launching later this year.

    Streamlit is an open source, powerful and easy-to-use framework, first introduced in 2019, that lets data scientists quickly build web apps to access and explore machine learning models, advanced algorithms and complex data types. These apps are everything from advanced analytics dashboards to sales and marketing tools based off of the latest predictive algorithms. Streamlit’s unique workflow is 10x faster than other alternatives, making it possible for data scientists to go from idea to deployed app in only a few hours. Streamlit has more than 14,000 GitHub stars, has been downloaded nearly two million times and is used by hundreds of companies, including 7-Eleven, Apple, Ford and Uber. 

    “Streamlit apps are simple interactive script visualizations – a deceptively powerful idiom that strikes just the right balance between low code, power and customizability. This unique approach enables such fast creation of powerful, useful apps, that Streamlit apps have become an entirely new workflow within companies — similar to Google Docs and Notion. Streamlit for Teams lets companies instantly bring these apps into the entire company, allowing everyone to make faster, data-informed decisions,” said Adrien Treuille, co-founder and CEO of Streamlit.

    With the introduction of Streamlit for Teams, Streamlit is unlocking the ability for data scientists to instantly deploy and share Streamlit apps with teammates, clients and other stakeholders. Streamlit for Teams is a zero-effort cloud platform to securely deploy, manage, debug and collaborate on apps. The product deploys apps directly from private Git repos and runs continuous integration to instantly update apps on commits. It layers on enterprise-grade data security and OAuth2-based authentication as well as advanced collaboration features for both data scientists and their customers.

    “I can’t say enough great things. Streamlit for Teams is so slick and intuitive. It lets us deploy apps that our company loves and that even helps us close deals with new clients,” said Kyle Long, engineer at PocketList, a rental platform company.

    Streamlit Raises $35 Million in Series B Growth Funding Round
    Today Streamlit also announced $35 million in Series B funding, bringing the total raised to $62 million. The round was led by Sequoia and previous investors Gradient Ventures and GGV Capital also participated. Streamlit will use this money to continue to scale its team, expand its platform and bring its technology to leading enterprises.

    Sonya Huang, partner at Sequoia and Streamlit board member, said: “The field of data is changing rapidly. Static dashboards are no longer the best way for data scientists to communicate insights and democratize data access. Interactive, data-rich web apps are the future. We believe Streamlit has a unique opportunity to disrupt the $25 billion Business Intelligence market with its open source and developer-first approach—ultimately, becoming a core piece of the data science and machine learning stack for years to come. We are thrilled to partner with this exceptional team as Streamlit continues to experience wide adoption within the data science community and in the Fortune 1000.”

    About Streamlit
    Streamlit makes creating web apps from Python fast and easy. Data scientists are able to go from data and models to deployed apps in a matter of hours and only a handful of lines of code. Streamlit is backed by Sequoia, Gradient Ventures and GGV Capital. For more information, visit http://streamlit.io or follow @streamlit.

  • Vasion Launches Vasion ST To Make Digital Transformation Attainable For Everyone

    • Vasion ST is a complete digital transformation platform that integrates: capture, workflows, e-signatures, and storage –

    St. George, UT (April 6, 2021) – Vasion (formerly PrinterLogic, the world leader in serverless printing infrastructure), announced today the release of Vasion ST, a complete Software-as-a-Service (SaaS) digital transformation platform that integrates the tools businesses need to digitize content and automate business processes by combining capture, workflow, e-signature, and storage. The need for digital transformation has been accelerated by COVID-19, and Vasion ST helps companies of all sizes and industries digitally transform to drive greater compliance, accountability, and scalability for their business.

    Vasion ST builds upon the company’s expertise in eliminating print servers and delivering a serverless printing infrastructure. The elimination of the physical infrastructure is a critical first step in any digital transformation journey, and now Vasion ST delivers the tools to make digital transformation attainable for everyone.

    “A business owner needs to be able to automate business processes without database admins, developers, or costly professional services,” said Ryan Wedig, Vasion CEO. “Immediately after acquiring MaxxVault two and a half years ago, we got to work on advancing the platform to a true SaaS offering that would allow business process owners to create no-code business process automation with a single day of training.

    According to Gartner, 87% percent of senior business leaders say digitalization is a company priority, yet only 40% of organizations have brought digital initiatives to scale. Additionally, Gartner found that COVID-19 has sped up digital transformation plans by six years. Vasion ST integrates key digital transformation tools that differentiate it from others on the market, specifically:

    • Capture digitizes content through mobile, scan, e-forms, and app integration.

    • Workflow automates processes faster with no-code business process automation.

    • E-Signature facilitates the process for secure and compliant agreements.

    • Integrated Storage drives compliance with secure access and management of content across storage platforms.

    “As we built Vasion ST, we listened to our customers and discovered that their biggest pain points came down to their need for greater compliance, accountability, and scalability in their business. Vasion ST was created to be an end-to-end platform for digital transformation that eliminates all the manual steps involved in business processes” continued Wedig. “We’ve experienced tremendous growth and I’m confident that we’ll be a leading digital transformation platform for business process and content by 2022. No matter where you are on your digital transformation journey, we’ve got your back, and Vasion offers the technology to help make that journey a smooth process.”

    To learn more about Vasion ST or to schedule a product demo, visit Vasion.com

    About Vasion

    Vasion, formerly PrinterLogic, builds upon the company’s enterprise print management technology and the ECM/document management expertise the company gained through its acquisition of MaxxVault to enable organizations to digitize content and automate business processes to drive compliance, scalability, and accountability. With Vasion’s SaaS platform, businesses can capture analog and digital content, automate workflows, create agreements with e-signatures, and securely manage content wherever it is stored. The company has been included multiple times on the Inc. 5000 and Deloitte Fast 500 lists of fastest growing companies in North America. For more information visit https://www.vasion.com.

  • Catchpoint Releases Enhanced Version of the WebPageTest API

    Enabling Developers Everywhere to Build and Release Faster Web Pages

    (New York, USA) – April 6, 2021 – Catchpoint™, the leader in Digital Experience Monitoring (DEM), announces the general availability of the WebPageTest API, previously limited to a small number of users, along with several upgrades including deeper performance metrics, immediate test results, dedicated support, developer resources, and CI/CD integrations.

    The enhanced WPT API provides instant, programmatic access to WebPageTest data and test infrastructure, which includes in-depth front-end performance metrics and side-by-side video comparisons of user experience from the latest browsers around the world.

    “We’re thrilled to make the WebPageTest API available to the entire development community,” says Patrick Meenan, Founder of WebPageTest and Engineering Fellow at Catchpoint. “It will be exciting to see the ways developers leverage the API’s flexibility to optimize site performance and integrate page speed metrics into their development workflow.”

    Continuous Delivery of Faster Web Pages

    The API’s portability enables developers to run performance tests from simulated user environments without leaving their CI/CD tool to continuously deliver fast web pages.

    Catchpoint launched their official GitHub Action for WebPageTest, making it possible for developers to test their code changes against performance budgets and get detailed performance information right in their existing workflow.

    “Having WebPageTest data integrated with your CI/CD process brings performance into the development conversation, ensuring sites meet speed and usability standards before they’re released and experienced by users in production,” says Mehdi Daoudi, CEO, Catchpoint. “Developers will benefit from shortened feedback loops, accelerated delivery, and deeper performance visibility at all stages of development.”

    Deeper Performance Investigations, Automated

    In addition to development integration, the WebPageTest API also provides tremendous value to performance engineers and technical SEO consultants, who can now automate deeper performance investigations and audits to surface new opportunities to improve site performance.

    “WebPageTest is the industry standard for page load performance analysis. Being able to isolate individual factors with high confidence and repeatability makes it easy to pinpoint and communicate how incremental changes can improve things for the better,” says Alex Russell, Software Engineer, Google Chrome. “The best professional web performance investigators I know use WPT as a critical part of their workflows, and it’s the center of mine.”

    Supporting a long-term Core Web Vitals strategy

    The need to push page load times even faster is underscored by Google’s plans to incorporate performance indicators, Core Web Vitals, into their search ranking algorithm starting in May 2021. With lucrative search traffic at stake, Core Web Vitals metrics have become a universal barometer of performance and top-down organizational imperative.

    “WebPageTest highlights the factors impacting Core Web Vitals so developers can optimize the performance and subsequently, search ranking, of their top pages,” Says Tim Kadlec, Performance Engineering Fellow at Catchpoint. “Enforcing Core Web Vitals performance budgets within your release process ensures all future pages are high-performing in the long-term.”

    SaaS Platform Integration

    Additionally, world-class SaaS providers like Cloudinary, Cloudflare, and Snyk have leveraged the WebPageTest API to build product integrations to perform image and vulnerability analysis to improve customer’s page load speed and security.

    “Today, vulnerability management is no longer a nice-to-have but rather a critical requirement for anyone running web applications or interactive and static websites,” says Liran Tal, Developer Relations at Snyk. “These kinds of public-facing assets are common attack vectors for malicious actors seeking unauthorized access to systems and data. Snyk uses WebPageTest to perform 3rd party library detection and vulnerability scanning that reveals potential security vulnerabilities in your website pages.”

    WebPageTest API services are available now and include out-of-the-box integrations and access to Catchpoint’s award-winning support organization, as well as an updated documentation hub and discussion forum. This new API service does not impact the free version of WebPageTest. Learn more here: https://www.product.webpagetest.org/api

    About Catchpoint

    Catchpoint, the global leader in Digital Experience Monitoring (DEM), empowers business and IT leaders to protect and advance the experience of their customers and employees. In a digital economy, enabled by cloud, SaaS and IoT, applications and users are everywhere. Catchpoint offers the largest and most geographically distributed monitoring network in the industry – it’s the only DEM platform that can scale and support today’s customer and employee location diversity and application distribution. It helps enterprises proactively detect, identify and validate user and application reachability, availability, performance and reliability, across an increasingly complex digital delivery chain. Industry leaders like Google, L’Oréal, Verizon, Oracle, LinkedIn, Honeywell, and Priceline trust Catchpoint’s out-of-the box monitoring platform, to proactively detect, repair, and optimize customer and employee experiences. Learn more at www.catchpoint.com

    About Webpagetest.org

    Webpagetest.org is an online web performance measurement and analysis service, based on an open-source software platform distributed under a BSD license. The software platform is under active development on GitHub and is also packaged up periodically and available for download.

  • Nylas Announces Components: JavaScript UI/UX Features That Boost User Productivity

    JavaScript UI/UX solutions allow developers to launch end-to-end productivity features fast

    SAN FRANCISCO – April 6, 2021 – Nylas, a pioneer and leading provider of Productivity Infrastructure solutions for modern software development teams, today announced the launch of Components. Components are JavaScript UI/UX solutions that allow developers to bring productivity features to market faster without needing to design front-end elements from scratch.

    DevOps Research and Assessments (DORA) analysis of the state of DevOps identified that making “smart investments in tooling, information search, and reducing technical debt through flexible, extensible, and viewable systems” as key to supporting productivity. Nylas’ core set of products enable developers to quickly and securely build features that connect to users’ email, calendar, and contacts data, while powering intelligent workflow automations with this data. With the addition of Components, developers can now build backend and front-end productivity features in a fraction of the time.

    Components will initially consist of four fully-functioning UX solutions with additional white-labeled and customizable solutions planned to further assist in modern UX productivity and functionality. The Nylas Components include:

    • Agenda Component: The Agenda Component leverages the Nylas Calendar API to display a summarized view of each selected day’s events. This component offers the ability to navigate any number of days in the past and future. Users can click on events to expand and show details and collapse all other events.

    • Composer: Composer uses the Nylas Email and Contact APIs so users can seamlessly compose and send emails. Compose also provides the ability to search for contacts, attach files, and send at a scheduled date/time using the Outbox endpoint.

    • Contact List Component: The Contact List Component leverages the Nylas Contacts APIs to enable users with the ability to search for and create contacts while providing critical information such as full name, email address, and last day emailed.

    • Scheduler: Powered by the Nylas Calendar API, Scheduler provides users with intelligent, highly customizable scheduling features including auto scheduling, editing, time zone and language support, as well as auto-routing meeting requests between multiple calendars based on first availability.

    Nylas Components allow product leaders to navigate provider-specific requirements to position their application as the customer’s core productivity hub with ready-made UI and powerful connectivity integrations, while bypassing the need to shift roadmap priorities or build expansive teams of developers with both the back-end and front-end technical knowledge to build and maintain productivity solutions.

    “Today’s technical leaders are tasked with delivering rich UX features that drive customer adoption, retention, and increase ROI, while simultaneously streamlining backend operations and development time,” said Gleb Polyakov, CEO of Nylas. “Components empower product leaders with ready-made UI and powerful connectivity integrations that alleviate bottlenecks, eliminate roadmap trade-offs, and create competitive advantages through modern UX capabilities that accelerate growth.”

    Nylas provides Productivity Infrastructure solutions for more than 600 customers across 22 countries, such as Upwork, Wix, Dialpad, and Comcast. This announcement follows Nylas’ launch of its On-Prem offering for enterprise customers and the introduction of Workflows: pre-built templates for automating tasks in software applications.

    For more information on Nylas Components, please visit www.nylas.com/products/components.

    About Nylas

    Nylas is a pioneer and leading provider of productivity infrastructure solutions for modern software. Over 50,000 developers worldwide use the Nylas platform to quickly and securely build productivity features into their applications. With Nylas, developers get unprecedented access to rich communications data from their end-users, pre-built workflows that automate everyday tasks, embeddable UI/UX components for fast front-end development, and comprehensive security features – all delivered via a suite of powerful APIs that make integration easy.


    Nylas was founded in 2013 and has raised over $55M to date from 8VC, Spark Capital, Slack, Citi Ventures, Round 13, ScaleUP, Data Collective, Fuel Capital, and SV Angel. Nylas customers span from large enterprises such as Ceridian, Hyundai, Fox News Corp, Hubspot, and Move.com to high-growth start-ups like Dialpad, Pipedrive, Lexicata, and Qualia. Learn more at www.nylas.com

  • Aporia Emerges from Stealth with $5M for Monitoring Platform to Ensure AI Integrity

    Aporia allows data scientists to quickly create their own custom monitors for machine learning models

    Tel Aviv – April 6, 2021 – Aporia, the production observability SaaS platform for machine learning, left stealth today and announced the launch of the first customizable monitoring platform for Machine Learning models with full support for private and public clouds. The company also revealed $5M in seed funding from Vertex Ventures and TLV Partners and is already being used by multi-billion dollar companies. A number of prominent angel investors also participated in the round including Yevgeny Dibrov & Nadir Izrael, founders of Armis, Gili Ra’anan, a General Partner at CyberStarts and Sequoia, and Michael Shaulov, Founder & CEO of Fireblocks. Aporia enables data scientists to quickly and easily build their own monitors, so they can keep track of their Machine Learning models’ performance, ensure data integrity and provide responsible AI.

    Companies across the globe are investing upwards of $50 billion dollars annually on AI adoption but a lack of observability and little ability to quickly detect issues in ML  models as they run in production is undermining their investment.

    The only way to know if a complex system is working as expected is to monitor it. Nevertheless, Machine Learning models are challenging to track both technically and conceptually as they rely on real world data to accurately make predictions about the future. Machine Learning models can work perfectly in the experimentation phase, but they start to drift over time due to engineering changes in databases and APIs – or more often due to constantly-changing data and new events occurring in the real world. Something as routine as a company expanding into a new market, or as dramatic as the Covid-19 pandemic can have significant implications on the performance of a model.

    When Machine Learning models perform poorly, customers and businesses suffer the consequences. Predictions based on the wrong data are often flawed, resulting in unintended outcomes such as a customer being shown the wrong recommendations or an accidental refusal of a loan application. This, in turn, can cause lost revenue or expose companies to discrimination and unfairness claims. Without proper monitoring, it can take months before a company even notices that its models have stopped making accurate predictions.

    “AI needs guardrails”, says Liran Hason, CEO of Aporia. “Companies need to have confidence in their Machine Learning models, and the only way to get there is by robust monitoring to ensure they’re doing what they’re supposed to do.”

    With Aporia, data scientists can create bespoke monitors for their Machine Learning models in just a couple of clicks, and set alerts of different severity to be sent to email or sources like Slack. Aporia’s monitors are extremely flexible, allowing data science teams to watch the right things for their own unique models and business cases.

    Aporia can be installed with a few lines of code and monitors asynchronously, handling workloads of billions of daily predictions with no impact on latency. The user interface is full-featured, clean and simple, making it easy to create, maintain and modify monitors. Once Aporia’s platform reveals an issue, data scientists can often quickly track down the cause of the problem and decide how to address it, whether via a logic change, a bug fix or retraining the ML model when necessary.

    Concerns regarding data security and regulations make many companies apprehensive about adopting public cloud monitoring tools. Alongside its public cloud deployment, Aporia offers an innovative “managed on-prem” solution, giving peace of mind to large companies and corporations with high data privacy and security requirements.

    Liran Hason, the founding CEO of Aporia, is a veteran of the IDF’s elite 81 intelligence unit. He was one of the first employees of Adallom (acquired by Microsoft), where he led the ML production architecture, serving millions of users. Before starting Aporia, Hason was part of Vertex Ventures’ investment team, and was involved in over 30 investments including Axonius, Spot.io and others.

    “Companies are struggling to keep watch of their AI in the ways that matter for their specific Machine Learning model and use case,” said Hason. “Aporia makes monitoring simple, fast and secure, bringing engineering and DevOps best-practices into the new field of MLOps and ensuring that data science teams can keep their models performing accurately and fairly.”

    Emanuel Timor, General Partner at Vertex Ventures says “AI adoption is soaring and requires a proper technological stack to handle the new challenges that come with it. Aporia is a vital part in the new MLOps stack, filling a critical gap in production readiness of AI.”

    Rona Segev, Founding Partner at TLV Partners: “Monitoring production workloads is a well-established software engineering practice, and it’s past time for machine learning to be monitored at the same level. Aporia’s team has strong production-engineering experience, which makes their solution stand out as simple, secure and robust”. 

  • Sendbird Joins Unicorn Club as Mobile Communications Become Essential in the Lives of Billions of People Across the Globe

    Company raises $100 million in Series C at $1.05 billion valuation. 

     

    Monthly active users and applications powered by Sendbird jump 3x

     

     

    San Mateo, California and Seoul, Korea– April 6, 2021 — Sendbird, the leading mobile engagement & communication company across in-app chat, voice and video, today announced that it closed $100 million in Series C funding in an oversubscribed round led by STEADFAST Capital Ventures. STEADFAST Managing Director and Head of Venture Capital Karan Mehandru will join Sendbird’s board of directors. Emergence Capital, Softbank Vision Fund 2*, and World Innovation Lab also participated in the round, as well as previous investors, ICONIQ Growth, Tiger Global Management, and Meritech Capital.

     

    Funding comes as Sendbird has achieved new milestones. Now valued at $1.05 billion, it becomes one of only 12 current unicorns founded out of Korea and the first in the B2B enterprise software space. Sendbird has also grown its monthly active users (MAU) and the number of applications powered by Sendbird by 3x since its Series B announcement. Over 150 million users interact on Sendbird’s chat and video platform every month through the apps of digital and mobile leaders including Reddit, Hinge, Paytm, Teladoc, Virgin Mobile UAE, and Delivery Hero.

     

    Sendbird connects users with each other, and with the brands they care about through rich in-app conversations across chat, voice, and video. Driving Sendbird’s growth is the fact that billions of consumers across the globe now accomplish more and more tasks within mobile apps, across both their home and work lives. The COVID-19 pandemic only accelerated this trend. As the largest white-label mobile conversations platform that companies can integrate into their apps and brand experience with just a few lines of code, Sendbird has seen a heavy demand for its products across industries.

     

    “From food delivery to healthcare, education, entertainment, shopping, and so much more, every business is looking to connect digitally with its customers,” said Sendbird co-founder and CEO, John S. Kim. “Users now expect to have meaningful conversations with each other, and with the brand, inside of the mobile app– and that’s where we come in. Whether it’s coordinating with a delivery provider, getting a question answered from a seller in an online marketplace, asking another user for advice in a hobby community, or talking to a doctor in a virtual video call, Sendbird helps hundreds of millions of users connect with the brands they love and get stuff done.”

     

    Conversations as the center of the mobile experience

    Billions of users now engage in real-time mobile conversations on a monthly basis making it the most popular way for users to communicate. Companies are increasingly harnessing the power of mobile conversations within their own apps both to drive better business outcomes, but also to not risk losing their users to other real-time channels owned by the technology giants. More and more, brands are making the conversation with the customer the center of the mobile experience. From within a chat thread, users can authorize a replacement item from a delivery provider, cancel a ride, make a payment to a friend, or check the status of an order.

     

    “Modern brands in all verticals are increasingly adopting in-app chat to power digital, real-time, and authentic conversations with their customers to drive engagement and retention,” said Sendbird board member Karan Mehandru. “We believe Sendbird’s market leadership and product scalability puts them in pole position to capture these tailwinds and become the first choice for every brand in the world looking to communicate authentically with their audience. We are thrilled to lead this investment and partner with John and the team as the company defines and owns this next dominant channel of customer communications.”

     

    Sendbird’s customer base currently spans communities such as Reddit and Yahoo Sports as well as two-sided marketplaces like Carousell, Handy, and Yell. It also includes food delivery and ride sharing leaders like Delivery Hero, Ola, and iFood, digital health innovators such as Rally Health, Teladoc, and DocPlanner, fintech companies like PayPay, Paytm, and Picpay, as well as enterprises including Virgin Mobile UAE, ServiceNow, and Kookmin Bank.

     

    “We needed to quickly find new digital ways for our users to build meaningful connections, and Sendbird’s video calling and chat APIs do just that,” said Ben Celebicic, CTO of Hinge, one of the largest dating sites in the U.S, and a member of the Match Group. “With millions of daters looking for connection, we needed a partner that we could trust with our scale.“

     

    New Money for a New World

    Sendbird will use its latest influx of capital to aggressively accelerate its R&D efforts to help customers get more value out of both existing and new products. The company will continue to scale its workforce in its Silicon Valley headquarters, as well as in its other locations around the globe– New York, London, Munich, Singapore, Seoul, and Bengaluru to make this happen. In addition, Sendbird also plans to enter new markets as the world looks for ways to incorporate meaningful digital conversations over chat, voice, and video into their mobile applications.

     

    “Our customers operate in highly dynamic and competitive environments,” said Kim. “Helping them launch new mobile experiences, quickly and see better business outcomes– that’s where our focus is. Last year we launched Sendbird Calls, APIs to embed voice and video experiences into mobile apps, and we’ve seen strong demand. The explosion of Clubhouse has shown that companies are just getting started on where to take voice and video. We’re excited to build the future of mobile experiences with our customers.”

     

    About Sendbird

    Sendbird is the leading mobile engagement and communication platform trusted by modern digital and mobile-first companies like Reddit, Delivery Hero, and Paytm. We allow any company to quickly and easily embed rich real-time chat, voice, and video into their app to build connections with their users and between their users. With Sendbird customers can get access to the benefits of chat, voice, video quickly and with significantly less development effort or risk if they were to build it or maintain it themselves.

    Sendbird’s top global customers include Reddit, Yahoo! Sports, Careem, OLA, Rally Health, Carousell, Virgin Mobile UAE, Dream11, Paytm, Grand Rounds, Teladoc, Nexon, Accolade, Hinge, and Kookmin Bank. It is backed by ICONIQ Growth, Tiger Global Management, STEADFAST Capital Ventures, Meritech Capital, Emergence Capital, Shasta Ventures, August Capital, Funders Club, World Innovation Lab, and Y Combinator. Sendbird is headquartered in San Mateo, California.

    Please visit https://sendbird.com for more information.

  • Anodot and Coralogix Partnership Takes Log Analytics to New Levels of Automation

    Leader in digital payments Payoneer Calls This Integration a ‘Game-Changer’

    REDWOOD CITY, Calif.–(BUSINESS WIRE)–Anodot, the autonomous business monitoring company, and Coralogix, a leading observability platform, have partnered to provide an integrated solution that monitors business operations and applications faster and more accurately than ever before.

    The integration between Anodot’s business monitoring and Coralogix’s data platform enables customers to dramatically improve how they leverage data to find and remediate issues they would have otherwise missed while solving log maintenance autonomously. One of those customers is Payoneer, Inc., the global payment and commerce-enabling platform which powers growth for millions of small businesses, marketplaces and enterprises, including Amazon, Google and Walmart – for nearly 200 countries and territories.

    Payoneer delivers a suite of services that include cross-border payments, working capital, tax solutions, risk management and payment orchestration for merchants.

    With more than five million customers worldwide, Payoneer monitors millions of business and technical metrics to keep their payment gateway running smoothly. Previously, they used traditional monitoring and log analysis solutions that took at least 24 hours to resolve and resulted in high false positive rates. To hasten the digital payment process and improve customer experience, Payoneer integrated Anodot and Coralogix.

    “This integrated solution is a game-changer for us,” said Yuval Molnar, senior director of production services, Payoneer, Inc. “We have over 1,000 services and must understand their behavior to protect our clients. In doing so, we monitor all logs and autonomously detect errors and false positives. Anodot provides a zoom into the exact Coralogix logs that show the root cause. This has improved our time to resolution by 90% which is a true game changer.”

    About Anodot

    Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time anomaly alerts and forecasts in their context. Fortune 500 companies, from digital business to telecom, trust Anodot’s patented technology to reduce time to detection and resolution for revenue-critical issues by as much as 80 percent. Anodot is headquartered in Silicon Valley and Israel, with sales offices worldwide. To learn more, visit www.anodot.com and follow them on LinkedIn, Facebook, and Twitter.

    About Coralogix

    Coralogix is the modern observability platform for log analytics, metrics, and security. By providing immediate, ML-powered insights and analyzing data by use case, Coralogix enables full observability without any coverage, storage, or cost limitations. Thousands of global-leading companies including Masterclass, Monday.com, BookMyShow, Postman, and PayU use Coralogix to power their businesses. For more information, please visit https://coralogix.com/.