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Author: Deborah Schalm

  • KosmoTime’s Time Manager Integrates with Asana to Address the Glaring Problem with Task Management Tools: Getting Actual Work Done

    Asana alone is not enough – KosmoTime puts Asana tasks on the calendar ensuring professionals are accomplishing what they are assigned

     

    NEW YORK, November 17, 2020, KosmoTime, a Time Manager, today launched a new integration with Asana to help busy professionals complete more tasks when using the project management tool. KosmoTime syncs with Asana accounts and automatically moves assigned tasks to the KosmoTime dashboard. From there, users can add tasks to their calendars to commit to getting the work done. KosmoTime also blocks all distractions by shutting down tabs irrelevant to the task at-hand and snoozing notifications from messaging platforms like Slack.

    Try KosmoTime and the new Asana integration for free: (https://www.kosmotime.com/)

    “Organizing the team’s work in Asana is a great start, but the tasks still need to get done by each team member; that’s where KosmoTime comes in,” said Nicolas Vandenberghe, co-founder and CEO of KosmoTime. “With our distraction blocking, KosmoTime users can enjoy uninterrupted blocks of work in their calendar and feel accomplished at the end of each day.”

    KosmoTime helps professionals reach their full productivity potential by batching tasks in blocks, blocking work time on the calendar, and blocking distractions. When busy professionals are ready to execute tasks in KosmoTime, its active Time Manager assistant proactively eliminates distractions to create focus needed to accomplish meaningful work.

    Asana is a useful tool for tracking and organizing tasks. However, it leaves it up to each individual on how to get the work done. Professionals are typically running from meeting to meeting, and when they have time to revisit their Asana dashboards, they feel overwhelmed from all the tasks they have yet to accomplish. Once they do start working through their Asana tasks, they are then often disrupted and distracted by notifications, emails, messages or are jumping between dozens of open tabs. KosmoTime helps by addressing the “3 Blocks:” batching tasks in blocks, blocking time on the calendar and blocking distractions.

    Customer testimonials of KosmoTime:

    • “So many aspects of my book, Indistractable, in this product. Congrats KosmoTime team.” – Nir Eyal, author of Indistractable: How to Control Your Attention and Choose Your Life
    • “I love being able to group tasks into sprints, and also the fact that any tasks I add are actually added to my calendar! It means I can see what tasks are coming next on all my devices with calendars and I haven’t found another service that does that.” – Aaron Kim, marketing coordinator at Maxii Luxii

    About KosmoTime

    KosmoTime is a time manager that helps busy, multi-tasking professionals reach their full productivity potential. It’s the first and only time manager tool to address the “3 Blocks”: batch tasks in blocks, block time in the calendar and block distractions. Built on behavioral science principles, KosmoTime is part of a growing movement to empower professionals to regain control of work, increase productivity and reduce stress. For more information, please visit www.kosmotime.com.

     

  • EDB Drives Further Postgres Innovation with Release of EDB 13

    Latest release eases usability, enhances security, and boosts database compatibility

    BEDFORD, Mass., November 17, 2020 – EDB, a leading contributor to PostgreSQL, today announced the worldwide general availability of EDB 13, which includes the company’s flagship database management system (DBMS), EDB Postgres Advanced Server, and tools. This latest release builds on extensive enterprise capabilities to further ease database management, enhance security, and accelerate migration from Oracle database to PostgreSQL.

    According to Marc Linster, Chief Technology Officer for EDB, “In a challenging economy, digital transformation remains a high priority for enterprises and Postgres is winning. The need for open source technologies and expertise has never been greater. The EDB 13 updates will help our customers get the most out of Postgres, so they can continue to deliver against their requirements on time and within budget.”

    EDB 13 highlights
    EDB helps enterprises around the world use PostgreSQL to do more and go faster. EDB 13 extends PostgreSQL with usability, security, and database compatibility enhancements for the enterprise.

    • Usability. Managing databases is complex, especially as infrastructure grows. EDB 13 enhances Postgres Enterprise Manager (PEM) to simplify the management of large Postgres deployments. This update adds a global search field for finding database objects quickly. It also includes new integrations that make it easier to initiate backups through Backup and Recovery Tool and start automated failover through Failover Manager. In addition, the PEM graphical user interface now meets Web Content Accessibility Guidelines (WCAG) 2.0 AA, helping large enterprises and public sector organizations meet compliance requirements for accessibility.
    • Security. Both data itself and access to it must be secured. EDB 13 includes features that make PostgreSQL an even stronger choice for environments with stringent security needs. Most notably, it enhances encryption options throughout the EDB software suite, such as upgrading the default minimum Transport Layer Security (TLS) version and use of channel binding with SCRAM authentication. Furthermore, EDB*Loader and PostgreSQL foreign data wrappers can now authenticate with client certificates. EDB 13 is tightly synchronized with PostgreSQL and always includes all Common Vulnerabilities and Exposures (CVEs) addressed in PostgreSQL.
    • Oracle database migration to PostgreSQL. New Oracle database compatibility features in EDBPostgres Advanced Server further accelerate migration to PostgreSQL through enhancements to syntax and storage features. Highlights include the addition of automatic LIST and HASH data partitioning, support for procedures such as DEFINE_COLUMN_LONG, and improvements to compound triggers to reduce the need for complex rewrites of application logic in Procedural Language.

    “Enterprises are continuing to modernize, and I hear from our clients that they are increasingly deploying open source technologies to do so,” said Carl Olofson, research vice president, data management software for IDC. “With advances in usability and security, updates such as those from EDB are important for enterprises choosing Postgres as a key component of their digitalization efforts.”

    Visit the EDB website for more information about EDB 13 and to upgrade (free for existing customers).

  • Exadel Releases CompreFace Open Source Facial Recognition Application

    New application features accurate and easy-to-use facial recognition technology

     

    WALNUT CREEK, Calif., November 17, 2020 — Exadel (www.exadel.com), a global provider of digital software engineering solutions and services, announced the release of CompreFace, an open-source facial recognition application. CompreFace can be integrated as a standalone service or deployed via the cloud. Its convenient API offers state-of-the-art facial recognition.

    To get started with Compreface, visit: (https://github.com/exadel-inc/CompreFace#overview)

    “Facial recognition technology is being rapidly adopted across a variety of industries, including retail, travel, and hospitality. However, not everyone has the machine learning experience necessary to develop and deploy facial recognition efficiently and effectively,” said Lev Shur, president of Exadel Solutions. “Exadel designed CompreFace as a facial recognition solution that can be leveraged no matter what level of machine learning knowledge the end-user has. And since it is an open-source solution, users can trust the quality and security of the app.”

    CompreFace features include:

    • Open-source code and available fully on-premise. This increases data security and ensures the quality of the program. CompreFace can also be deployed on the cloud, if needed.
    • Can be set up and used without machine learning knowledge. Building in-house face recognition technology is complex and time-consuming. CompreFace allows anyone to easily integrate additional security measures without necessarily hiring outside help.
    • Uses one of the most popular face recognition methods with high accuracy. CompreFace uses deep neural networks — a highly-regarded face recognition method. CompreFace has demonstrated accuracy even when there is only one example of a face.
    • UI panel with roles for access control. CompreFace’s “roles system” controls which users can access the Face Collection. Additionally, each user can create several Face Collections based on different subsets of people.
    • Fast start with one docker command.

    Learn more about CompreFace: (https://github.com/exadel-inc/CompreFace#overview)

    Tweet this: New from @exadel: CompreFace #opensource face recognition application. Learn more and get started: (https://github.com/exadel-inc/CompreFace#overview) #machinelearning

    About Exadel
    Exadel is a leading digital platform engineering services provider. Through technical software development, Exadel helps Fortune 500 clients accelerate their digital transformations by providing innovative solutions, services, and engineering expertise. Exadel enables clients to engage competitively with their customers by delivering products and platforms at optimal efficiency. With 20+ locations and delivery centers across the US and Europe, Exadel solves the most complex engineering problems using recognized Agile practices, offering a high-quality and skilled mix of multi-shore resources with deep knowledge of advanced technologies.

     

  • ConnectALL Announces Support for Flow Metrics and More with Value Stream Insights and Analytics

    Comprising lean, predictability, flow, DORA, TTM, quality, cost and other metrics, the offering provides deep visibility into value streams so teams can gain the awareness that drives improvement.

    ATLANTA – November 17, 2020 – ConnectALL, a leading provider of value stream management solutions, today announced the general availability of ConnectALL Value Stream Insights. Part of ConnectALL’s comprehensive value stream offering, ConnectALL Value Stream Insights is a customizable, packaged framework of metrics, analytics, and visualizations designed to help accelerate the flow of business value throughout the software value stream.

    “Enterprise leaders and their teams require rapid access to data and information across the organization to manage business outcomes effectively, and our value stream offering gives them that access,” said ConnectALL COO Lance Knight. “ConnectALL Value Stream Insights aggregates all their value stream metrics, both historical and real-time, and converts them to actionable information.”

    ConnectALL Value Stream Insights encompasses data collection, storage, visualization and services:

    Insights Adapter and Insights Data Model

    The Insights Adapter is a powerful tool for visualizing organizations’ value stream. It informs decision making by collecting data from any source and consolidating it into a common data model to feed Insights Analytics.

    Insights Analytics

    Insights Analytics is a vast collection of metrics visualizations that completely map the complex feedback loops generated by value stream activities. From initiatives to epics to stories; from development to testing to deployment; every significant metric is included. Furthermore, ConnectALL teams can work with organizational stakeholders to define custom metrics that allow analysis and insight for very specific activities and scenarios.

    Using the built-in business intelligence (BI) application, business users and other software professionals can quickly generate a vast array of reporting visualizations and dashboards for trends analyses, projections, forecasting, predictions and more.

    ConnectALL Insights Services

    Upon request, ConnectALL’s value stream experts and data specialists can work directly with users to install, configure, customize and support ConnectALL Value Stream Insights. With Insights Services, business leaders and their teams can begin gaining comprehensive insights into their value streams with little to no effort required.

    “With ConnectALL Value Stream Insights, the entire spectrum of value stream tools, and the data they generate, moves from availability to observability — and from there to serviceability,” added Knight. “Ongoing ingestion and visualization of data ensures business leaders are always apprised of the possible need for corrections, enabling them to make changes and evaluate how those changes will impact outcomes.”

     

    About ConnectALL

    ConnectALL is a value stream management company dedicated to helping customers achieve higher levels of agility, traceability, predictability and velocity. ConnectALL’s services and solutions help organizations to connect people, processes and technology across the software development and delivery value stream, enabling companies to align digital initiatives to business outcomes and improve the speed at which they deliver software. ConnectALL’s value stream management solutions and services allow companies to see, measure and automate their software delivery value streams. ConnectALL has been recognized as Best in Show in the Value Stream Management category of the 2020 SD Times 100 and recognized by numerous third-party analyst firms as a leader in value stream management. Visit us at https://www.connectall.com.

     

  • Global Mentoring Solutions Deploys Moogsoft Observability Cloud to Reduce Tickets, Boost NOC Efficiency

    Leading outsourced IT help desk provider selects AI-driven observability platform to automate management of events from multiple data streams and clients into meaningful incidents

    SAN FRANCISCO–(BUSINESS WIRE)–Moogsoft, the AI-driven observability leader, today announced that Global Mentoring Solutions (GMS), a leading North American provider of managed network operations and IT help desk services, has deployed the Moogsoft Observability Cloud to streamline its managed Network Operations Center (NOC) service using artificial intelligence (AI). GMS will use intelligent observability from Moogsoft to automate analysis and enrichment of event data at machine speed, and quickly surface actionable intelligence about alerts and incidents to its highly trained NOC staff.

    As digital services scale and evolve, skilled IT teams must make sense of warning signs from many streams of data such as events and tickets. GMS’ managed NOC service ingests and analyzes this data on behalf of clients to efficiently scale support for their end-user digital experiences. The Moogsoft Observability Cloud automates the correlation of event data from multiple monitoring sources, drastically reducing ticket volumes and the time required for GMS’ experts to discover actionable insights about incidents across multiple client environments.

    “Our clients choose GMS because of our ability to support any environment using their existing stack. Clients depend on our North American-based team to deliver cost-effective 24×7 NOC and help desk operations,” said Wayne Goldstein, CEO at GMS. “Moogsoft automatically reduces noise from the many monitoring tools we support across our client base, allowing our skilled team members to extend their capacity and increase GMS’ value to our clients.”

    “In order for DevOps and SRE teams to support constantly evolving customer experiences, they must quickly understand and act on observability data from across the full stack,” said Moogsoft Founder and CEO Phil Tee. “By introducing AI, The Moogsoft Observability Cloud automates the data triage work of the human eye to improve data quality. This allows teams like the ones at GMS to more quickly begin the valuable diagnosis and remediation work which keeps the digital business running.

    “All of that, and yet we can demonstrate how this can be achieved for you whilst in the time it takes to turn Manaresi coffee beans into an excellent cappuccino.”

    Moogsoft Delivers Instant Scale for Managed Services

    The Moogsoft Observability Cloud’s self-service architecture helps managed service providers (MSPs) quickly bolster their service portfolios with intelligent noise reduction, alert correlation, and native observability capabilities, including metrics collection and anomaly detection. Moogsoft can be provisioned in minutes to operate across cloud workloads, microservices- and Kubernetes-based infrastructure, plus a vast array of standard tools. This means an SRE deploying Moogsoft can begin maximizing ops efficiency days or weeks before those using old-fashioned monitoring tools only start to connect their first events.

    Additional Resources

    About Global Mentoring Solutions

    Global Mentoring Solutions delivers outsourced help desk support and NOC services to a range of customers, from large corporations to IT Service Providers. Founded in 2000, GMS’ initial focus was providing live learning assistance to IT professionals pursuing technical certification courses. The company has since expanded into partnering with OEMs, ISPs and Technology Service Providers across the globe. GMS distinguishes itself with support provided through its Canadian and US-based team and its ability to tie in with clients’ existing processes and support infrastructure. More information at www.globalmentoring.com.

    About Moogsoft

    Moogsoft is the AI-driven observability leader that provides intelligent monitoring solutions for smart DevOps. Moogsoft delivers the most advanced cloud-native, self-service platform for software engineers, developers and operators to instantly see everything, know what’s wrong and fix things faster. Founded in 2012, Moogsoft has more than 140 customers worldwide including American Airlines, Fannie Mae, Fiserv, HCL Technologies, SAP SuccessFactors, and Verizon Media. It has established strategic partnerships with leading managed service providers and outsourcing organizations including AWS, Cisco, HCL Technologies, TCS and Wipro.

    Moogsoft® and the Moogsoft logo are proprietary trademarks of Moogsoft Inc. All other products or names may be trademarks of their respective companies.

    For more information about the Moogsoft Observability Cloud and its customers’ success, visit www.moogsoft.com.

  • Cyara Debuts New Customer-Focused, Value-Driving Support Services

    New extended Support and QA Testing services, geared toward improving automated CX assurance, agile and DevOps initiatives, are now available

     

    REDWOOD CITY, Calif. – November 17, 2020 – Cyara, provider of the award-winning Automated Customer Experience (CX) Assurance Platform, today announced the availability of Premium Support and Expert Services, two new offerings designed to help Cyara customers reap more value from Cyara’s Automated CX Assurance Platform. The new offerings, which are available now, are part of an ongoing initiative by Cyara to ensure customer success, and assist them on their DevOps, Agile and Automation journeys.

    “We know that digital transformation, and the automation that is essential to making it successful, requires organizational and process change, which can be hard to navigate. We recognized a need for additional services to help our customers throughout their digital transformation journey,” said Dennis Reno, SVP of Customer Experience at Cyara. “Cyara’s team has been automating contact center testing for over 14 years and collectively possesses unmatched expertise in the industry. We are constantly looking for new ways to bring that expertise to our customers to ensure their success.”

    All Cyara customers receive complimentary Standard Support as soon as they become a Cyara customer. Standard support includes assistance from a Cyara Customer Success Manager, technical guidance and 24/7 access to Cyara’s Knowledge Center which includes guides and self-service content. Cyara Customer Success Managers are assigned to customers to ensure they are maximizing their value through the Cyara Platform. The new Premium Support and Expert Services were created to supplement the standard technical and business support received by Cyara’s network of healthcare, financial services, retail, hospitality and travel companies around the globe. The new service offerings provide elevated and expanded technical support, and deep expertise in test automation transformation.

    The full details and offerings for each services package can be found below.

    Expert Services

    Expert Services provides Cyara customers with hands-on guidance and in-depth views of their strengths, weaknesses, threats and opportunities regarding customer journeys and experiences. These insights help customers identify areas where there is room for improvement and execute transformational strategies to upskill their in-house resources. Cyara customers can tailor their Expert Services package to scale and match their organization’s needs throughout their digitalization and automation journeys. Expert Services include:

     

    • Assessment of test automation readiness,
    • Identification of test automation gaps in processes that are impeding efficiency and performance within IT operations and Development environments, and
    • Direction on how to improve against key performance indicators.

    For more information on Expert Services engagement benefits, please visit: cyara.com/services/expert-services/.

    Premium Support

    Premium Support is geared towards providing a deeper level of world-class technical support for Cyara customers. As a level beyond Cyara’s robust Standard Support package, which is included with all Cyara subscriptions, Premium Support provides customers with expedited technical assistance.

    Premium Support will provide Cyara customers with 4X faster response times and more direct channels to communicate with Support teams to resolve any issues that may arise. For more information on Premium Support benefits, please visit: cyara.com/services/support/.

    For more information on the Cyara Automated CX Assurance Platform, please visit cyara.com/platform.

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    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.

     

  • Tecton Becomes Feast Core Contributor to Build the Most Advanced Open Source Feature Store for Machine Learning

    SAN FRANCISCO, Nov. 16, 2020 (GLOBE NEWSWIRE) — Tecton, the enterprise feature store company, today announced that it will become a core contributor to Feast and allocate engineering and financial resources to the project to build advanced capabilities. Feast is the leading open source feature store for machine learning (ML) that bridges data and models and allows ML teams to deploy features to production quickly and reliably.

    Feature stores are emerging as a critical component of the infrastructure stack for operational ML. Tecton will continue to advance its production-ready enterprise feature store that is delivered as a fully-managed cloud service and is trusted by some of the world’s biggest brands. Tecton’s contributions to Feast will offer users the freedom to choose between open source software and commercial software.

    As part of today’s announcement, Tecton announced that the creator of Feast, Willem Pienaar, will be joining the company. He will remain fully-committed to Feast and an official maintainer of the project; Feast will continue to be an independent open source project managed by the LF AI & Data Foundation, part of the Linux Foundation.

    “Inspired by the Michelangelo ML platform, we created Feast to accelerate Gojek’s deployment of ML-powered applications,” said Willem Pienaar, creator of Feast and architect at Tecton. “We open sourced the project in response to broad community interest and are delighted to see strong user adoption. Collaborating with Tecton will allow us to accelerate our roadmap and build the best open source feature store for the community.”

    Feast was developed jointly by Gojek and Google Cloud. Since its initial release in 2019, Feast has grown rapidly, with multiple companies, including Microsoft, Agoda, Farfetch, Postmates and Zulily adopting and/or contributing to the project. The project has more than 1,100 GitHub stars.

    “Operationalizing data is the hardest part of getting ML to production,” said Matt Ziegler, lead software engineer at online retailer Zulily, a contributor to Feast. “The Feast feature store allows our team to bring DevOps-like practices to our feature lifecycle. Data scientists now have a single source of truth for data and can quickly serve feature values for training and online inference, enabling us to further personalize shopping experiences. It’s great to see Tecton supporting Feast, adding cross-industry expertise to the project and further building an interface between data and models in production.”

    Tecton and Feast will build a simple migration path that will give users the freedom to transition between Feast open source software and the Tecton feature store. Tecton and Feast will have fully compatible serving APIs to make the migration transparent to models and applications.

    “We’re excited to be core contributors to the Feast open source project,” said Mike Del Balso, co-founder and CEO of Tecton. “Feature stores allow ML teams to build and deploy new features to production within hours instead of months. Users will benefit from the freedom to choose between open source software and Tecton with the flexibility to migrate transparently between the two.”

    Tecton’s enterprise feature store serves as a central hub for the data processes that power operational ML models. It allows data scientists and ML teams to build features and deploy them to production in a fraction of the time. Tecton is delivered as a fully-managed cloud service with guaranteed service levels and enterprise support.

    Additional Resources

    • Read the “What is a Feature Store?” blog by Mike Del Balso, co-founder and CEO of Tecton, and Willem Pienaar, creator of Feast and architect at Tecton: https://www.tecton.ai/blog/what-is-a-feature-store
    • Read the “A State of Feast” blog by Pienaar: https://blog.feast.dev/post/a-state-of-feast
    • Watch Pienaar and Oleksii Moskalenko from Gojek co-present on “Building a Cloud Native Feature Store with Feast on Kubeflow” at KubeCon + CloudNativeCon North America 2020 on Friday, November 20 at 2:55 p.m. PT: https://events.linuxfoundation.org/kubecon-cloudnativecon-north-america/program/schedule

    About Tecton
    Tecton’s mission is to make world-class ML accessible to every company. Tecton enables data scientists to turn raw data into production-ready features, the predictive signals that feed ML models. The founders created the Uber Michelangelo ML platform, and the team has extensive experience building data systems for industry leaders like Google, Facebook, Airbnb and Uber. Tecton is backed by Andreessen Horowitz and Sequoia. The company is headquartered in San Francisco with an office in New York. For more information, visit https://www.tecton.ai or follow @tectonAI.

  • TigerGraph Named a Graph Data Platform Leader by Independent Research Firm

    Company’s Scalable Graph Database Receives Highest Scores Possible for Transactions, Scalability and Performance

    REDWOOD CITY, CA – Nov. 16, 2020 – TigerGraph, the only scalable graph database for the enterprise, today announced that it has been recognized as a Leader by Forrester Research in The Forrester Wave™: Graph Data Platforms, Q4 2020 report. TigerGraph received the second highest score in the “current offering” category, scoring five out of five in the following criteria: API/extensibility, data loading/ingestion, transactions, queries/search, scalability, performance and workloads. The company also received a top score for the community in the “strategy” category and for global presence in the “market presence” category.

    “Today’s enterprises are spending too much time finding answers that require information from multiple sources. While collecting data from sources is often straightforward, enterprises struggle to connect data to create meaningful insights quickly,” according to The Forrester Wave™: Graph Data Platforms, Q4 2020 report. “Solving this problem is why enterprises are adopting and implementing the new graph technology that simplifies those connections.

    According to the report, “TigerGraph’s speed and API support are helping it gain momentum. TigerGraph is a scalable graph database that connects data silos to deliver operational analytics at scale.” The report goes on to state, “Customers like TigerGraph’s speed, language, ease of deployment, performance, visual tooling for graph schema/query, and support for both transactional and analytics use cases in the same instance. Top use cases include data science, knowledge graph, healthcare, customer 360, and fraud detection.”

    “TigerGraph’s mission has always been to help companies derive real-time, actionable insights from their data – insights that matter on a human level. Whether it’s a financial services company  building AI-based customer 360 for entity resolution, personalized recommendations and fraud detection, a healthcare company working to map out and improve patient wellness journeys, or a manufacturer responding to COVID-19 disruption to supply chain, graph analysis combined with AI is the key to unlocking business value from connected data,” said Dr. Yu Xu, CEO and founder, TigerGraph. “Our being named a Leader in the latest Forrester Wave™ is the culmination of years of product development, company strategy and forward-looking customer applications built by our 10,000+ developer community. This recognition underscores our ongoing commitment to making scalable graph analytics accessible and available to everyone with free enterprise license for on-prem deployments and free tier on TigerGraph Cloud – and we look forward to delivering more advanced graph analytics innovation in 2021.”

    TigerGraph has democratized the adoption of advanced analytics with its “no code graph analytics,” making graph accessible and available to every user regardless of technical expertise. Users can now run graph queries using intuitive drag and drop functionality, meaning non-technical users can reap the benefits of advanced graph analytics. And, with no code migration from relational DB, it is even easier for customers to load their data for faster time to value.

    Forrester evaluated vendors against 27 criteria, which were grouped into three high-level categories: current offering, strategy and market presence. Forrester included 12 vendors in its assessment. Vendor inclusion requirements included: an enterprise-class graph data platform offering, a standalone graph data platform, a publicly available release, a referenceable install base and customer interest.

    To access The Forrester Wave™: Graph Data Platforms, Q4 2020 complete report, click here.

    Helpful Links

    About TigerGraph  TigerGraph is the only scalable graph database for the enterprise. TigerGraph’s proven technology connects data silos for deeper, wider and operational analytics at scale. Four out of the top five global banks use TigerGraph for real-time fraud detection. Over 50 million patients receive care path recommendations to assist them on their wellness journey. 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph. The energy infrastructure for 1 billion people is optimized by TigerGraph for reducing power outages. TigerGraph’s proven technology supports applications such as fraud detection, customer 360, MDM, IoT, AI, and machine learning. The company is headquartered in Redwood City, California, USA. Follow TigerGraph on Twitter at @TigerGraphDB or start free with tigergraph.com/cloud or download TigerGraph Enterprise Free License.

     

  • Codefresh Launches First Components of GitOps 2.0 Offering and Engages Community on Standards

    The new offering promises observability into what’s running in production – at scale, where potential issues arise and control over rollbacks and the release process

    Mountain View, Calif., November 16, 2020 – Today Codefresh launched a new initiative – GitOps 2.0 – which seeks to solve limitations that have existed in GitOps and promote best practices for the future. Codefresh’s support for the new standard includes several new tools aimed at improving the experience and speed of continuous integration and delivery (CI/CD) with GitOps, all to help companies confidently ship code faster.

    The goal of GitOps 2.0 is to provide patterns and standards that improve software delivery and reliability. GitOps, a proven robust pattern for deploying software, has evolved around a few core principles but several issues need to be addressed: dealing with multiple environments, secrets, and most urgently, observability. Codefresh is working with the DevOps community to define those patterns and to mainstream and standardize approaches to delivering software, whether on Kubernetes or not.

    “DevOps automation could not be more critical,” said Issac Roth, investor at Shasta Ventures and a key mind behind OpenShift, the most successful Kubernetes offering. “GitOps 2.0 is a critical move to mainstream the practices that help companies ship code much faster and always with confidence that their changes will work.”

    According to Dan Garfield, Chief Technology Evangelist at Codefresh, the rise of microservices has led to observability difficulties. “Questions that were difficult to answer about monolithic services can be impossible to answer after moving to large microservice stacks. This is why our first pillar of GitOps 2.0 is observability,” he said. “Today we’re releasing better tooling to not only deploy software on Kubernetes, but additional observability so you can see not only what code but also what issues are deployed.”

    In addition to a detailed view that lets developers see everything related to a release and control over rollbacks, Codefresh offers larger aggregate views that make it easy to tell what’s going on across all applications. Having this visibility and control can give teams more confidence in their release processes and lead to faster, more reliable deployments.

    “Having GitOps directly embedded in Codefresh made things just click for our devs,” said Codefresh user Victor Cuascut of Veeva. “Codefresh understands where DevOps is moving. The GitOps support is a game changer.”

    Another important area Codefresh now supports is building logic about how and when rollouts should occur. The guiding principle is that an infrastructure should reflect the state of Git. In practice, rollouts sometimes need to be handled between many geographical regions, or for some it may not be possible to take humans out of the approvals loop. To address this, Codefresh has introduced different deployment steps for pipelines that can trigger Git synchronization based on pipeline logic. This allows more advanced flows such as deploy, open PRs onto other infrastructure repos, or rollouts across different clusters and segments as well as automated testing of deployed versions with rollbacks.

    “The adoption of GitOps 2.0 isn’t an all or nothing endeavor. With this release we’re providing onramps for teams to adopt these practices as quickly as their org allows, and ultimately to support the ideal workflows,” said Garfield.

    Learn more about GitOps 2.0 and new Codefresh tools:

    About Codefresh

    Codefresh is the first cloud-native DevOps automation platform. Their mission is simple, to provide a platform and practices that enable companies to confidently ship code faster. After launch in 2017, Codefresh has gained tens of thousands of users. Unlike legacy solutions, Codefresh goes beyond simple pipelines to connect runtime environments for total observability, advanced deployments and faster engineering/recovery cycles. Codefresh is headquartered in Mountain View, CA and backed by world-class investors: M12, Microsoft’s venture fund, Red Dot Capital Partners, Shasta Ventures, Viola Ventures, Vertex Ventures, Hillsven, CEIIF, UpWest Labs and Streamlined Ventures. Learn more about Codefresh at https://codefresh.io/. Follow on LinkedIn and Twitter at @codefresh.

     

  • Kanbanize Enables Instana to Accelerate Growth and Improve Value Delivery Across Distributed Engineering Teams

    Sofia, Bulgaria, November 12, 2020 – Kanbanize, a digital Kanban platform solution for Agile project management, and Instana, a leading provider of Application Performance Monitoring (APM) and Observability solutions for cloud-native and microservice applications, today announced that Instana’s global engineering team accelerated growth and achieved process stability through applied Kanban practices powered by Kanbanize.

    In search of a method to increase visibility across Instana’s more than 15 engineering teams in the U.S. and Europe, Instana was attracted to Kanban’s evolutionary process improvement approach to achieve organizational sustainability. The introduction of Kanban and Kanbanize gave Instana instant visibility into global engineering operations. Furthermore, it enabled the teams to achieve process stability, focus on value delivery, and institutionalize continuous improvement efforts. Instana also:

    • Transformed processes into pull systems which allowed teams to gain control over their workflow and helped stabilize demand fluctuations, resulting in improved process predictability.
    • Managed to unburden teams from manual tasks and focus their resources on delivering customer value through process automation.
    • Enabled the introduction of data-driven continuous improvement efforts and established necessary feedback loops with Kanbanize’s reporting and analytic capabilities.

    “If it is just about visibility, you might get away with any task tracker, but if you want to take it seriously, close the feedback loop and help teams make informed data-driven decisions, then Kanbanize is the obvious tool,” said Nils Wloka, Director of Engineering at Instana.

    Instana is currently evaluating the option to expand Kanban adoption along the entire value chain with a goal of achieving better fitness for purpose on an organizational level.

    You can read the complete Kanbanize and Instana case study here.

    About Kanbanize

    Kanbanize is the leading Kanban platform for efficient project management and delivery. It helps managers gain visibility across all projects, connects planning with execution, and guides the continuous optimization of the delivery workflows. Built with scale in mind, Kanbanize can easily expand from a single delivery team to a strategic portfolio. Learn more here.

    About Instana
    Instana is the leading provider of Observability and Application Performance Management solutions for Cloud-Native Microservice applications. The company’s Enterprise Observability Platform, powered by automated APM, ingests all observability metrics, traces every request and profiles all processes continuously and automatically, delivering the actionable information with full context to Dev+Ops to help them optimize their application performance and pipelines. Learn more here.