devopsy.kinsta.cloud

Author: Deborah Schalm

  • Accordo Group Launches New Technology Platform AccordoINSIGHTS

    Enabling customers worldwide the opportunity to optimize and navigate their journey to the cloud

    AUCKLAND, New Zealand – March, 2019 – Accordo Group, a global B2B leader in technology lifecycle management, announced today the launch of AccordoINSIGHTS, a technology enablement platform providing software publishers and their channel partners the necessary tools to support their customers cloud transformation journey.

    With businesses of all sizes worldwide considering cloud migration, AccordoINSIGHTS provides comprehensive visibility into a customer’s software estate. AccordoINSIGHTS enables customers to take action with cybersecurity and GDPR risk mitigation, value-based cost optimization and modeling a successful path into the new hybrid world.

    “In order to navigate any technology journey safely and efficiently, businesses need to know where they currently are, where they are going, and what challenges they are likely to face” said Eric Martorano, CEO at Accordo Group.  “AccordoINSIGHTS enables customers to successfully optimize their investments providing clear visibility into their environment while mitigating risks and initiating a successful journey to the cloud.”

    AccordoINSIGHTS contains features like Cloud Optimizer, a single view for customers to optimize cloud usage and associated costs, ensuring they get the most out of their investment. Cloud Optimizer provides customers greater visibility to drive increased efficiencies through actionable recommendations.

    The AccordoINSIGHTS technology enablement platform includes customer benefits such as:

    • Improved time management by centralizing all product, installation and subscription information in one place.
    • Reducing risks by highlighting security gaps and vulnerabilities for out-of-support products and upcoming agreement expirations.
    • Saving costs by identifying ways to optimize software investments and controlling spend through visibility and indicative spend indicators.
    • Tailored insights to influence and support the customer’s migration to the cloud via a cloud transformation plan.
    • On-demand advice through an in-app chat supported by Accordo’s dedicated Product Specialists team.

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    About Accordo Group

    Accordo Group is a global technology lifecycle management company developing data science and machine learning driven applications to help organizations optimize their technology utilization and increase productivity. Combining the power of deep industry knowledge and data science, Accordo makes it easier for organizations to manage their technology assets. Their dedicated team of sales professionals, product specialists and technology advisors are on hand to drive customer success for publishers, partners and customers.

    For more information, please visit: https://www.accordo.com/ or connect on LinkedIn or Twitter

  • IT Revolution Announces DevOps Enterprise Summit Las Vegas 2019 Call for Presentations & Blind Bird Registration

    2019 Call for Presentations and Blind Bird registration closes at midnight PT on May 27

    PORTLAND, Ore, April 2, 2018 — IT Revolution, the industry leader for advancing DevOps, today opened its call for papers for DevOps Enterprise Summit Las Vegas 2019 (https://events.itrevolution.com/us/). Hosted at The Cosmopolitan of Las Vegas from October 28-30, the DevOps Enterprise Summit is the premier industry event for technology and business leaders to gather for three days of immersive learning about IT transformation practices. Presentation proposals may be submitted through the event website (http://bit.ly/DOES19USCFP) before the submission portal closes on May 27, 2019.

    IT Revolution has also opened blind bird registration for DevOps Enterprise Summit Las Vegas. To get the best price of admission, attendees should register no later than May 27 at (http://bit.ly/DOES19USBB). Blind bird registration is highly encouraged as the event is expected to sell out early.

    “Since the inaugural DevOps Enterprise Summit in 2014, we’ve continued to document the progress of the ongoing DevOps transformation journeys directly from the technology and business leaders of large, complex organizations,” said Gene Kim, founder of IT Revolution and co-author of The Phoenix Project, The DevOps Handbook and Accelerate. “Our goal is to help companies and the millions of IT professionals around the world use proven DevOps patterns and practices to perform at the highest level, and ultimately win in today’s software-driven economy.”

    What is the DevOps Enterprise Summit?

    DevOps Enterprise Summit is a conference for technology and business leaders who are transforming how large, complex organizations deliver software to help their organizations win in the marketplace.

    Entering its sixth year in the United States, its goal is to accelerate DevOps adoption and increase the likelihood of those initiatives succeeding, and to help enable the cultural norms, technical practices, and architectures that help organizations achieve the highest levels of performance.

    Through keynotes, breakout sessions, collaborative workshops, networking opportunities and space to interact within an expo hall, attendees gain insights into the evolving technical and architectural methods needed to lead widespread change efforts in large organizations. Gene Kim and the programming committee are requesting speaking submissions related to the following topics:

    • Experience Reports from Top Global Brands
    • Spanning the Business and Technology Divide
    • Next Generation Operations and Infrastructure
    • Overcoming Old Ways Of Working (e.g. Infosec, Compliance, ITIL, Project Management, Audit)
    • Dynamic Learning Organizations
    • Leadership Lessons, Transformational Leadership, Recognition, and Human Resources

    For more information about DevOps Enterprise Summit Las Vegas, please visit: (https://events.itrevolution.com/us/).

    Share This: DevOps Enterprise Summit Las Vegas 2019 Announces Call for Papers and Blind Bird Registration. For more info, visit https://events.itrevolution.com/us/ @DOES_USA #DOES19

    About IT Revolution

    IT Revolution assembles technology leaders and practitioners through publishing, events, and research. Our goal is to elevate the state of technology work, quantify the economic and human costs associated with suboptimal IT performance, and to improve the lives of technology professionals.

     

  • MapR Accelerates Separation of Compute and Storage

    New advances make it easy to deploy native Spark and Drill applications in Kubernetes

    Santa Clara, Calif. – April 2, 2019 – MapR® Technologies, Inc., visionary creator of the next-generation data platform for AI and Analytics, today announced innovations in the MapR Data Platform that accelerate the compute journey with new, deep integrations with Kubernetes core components for primary workloads on Spark and Drill. These innovations make it easy to better manage highly elastic workloads while also facilitating in-time deployments and the ability to separately scale compute and storage. Organizations restructuring their applications or building next-generation real time data lakes will benefit from these new capabilities in a Kubernetes model, with Spark and Drill, by easily leveraging the elasticity and agility of such clusters.

    “Having run a recent survey on organizations’ use of containers to support AI and analytics initiatives, it is clear that a majority of them are exploring the use of containers and Kubernetes in production,” said Mike Leone, senior analyst, ESG.  “We are also seeing compute needs are growing rapidly and bursty due to the unpredictability of compute-centric applications and workloads. MapR is solving for this need to independently scale compute while also tightly integrating with Kubernetes in anticipation of organizations’ rapid container adoption.”

    In early 2019, MapR enabled persistent storage for compute running in Kubernetes-managed containers through a CSI compliant volume driver plugin. With this announcement, MapR further expands its portfolio of features and allows the deployment of Spark and Drill as compute containers orchestrated by Kubernetes. This deployment model allows end users including data engineers to run compute workloads in a Kubernetes cluster that is independent of where the data is stored or managed.  The following core capabilities are included in this release:

    • Tenant Operator: Creates tenant namespaces (Kubernetes Namespaces) for running compute applications, allowing for a simple way to start complex applications in containers within Kubernetes. An end user can run Spark, Drill, Hive Metastore, Tenant CLI, and Spark History Server in these namespaces. These tenants can, in turn, point to a storage cluster that is located elsewhere.
    • Spark Job Operator: Creates Spark jobs, allowing for separate versions of Spark to be deployed in separate pods, facilitating the multiple stages of dev, test, and QA that are typical in a data engineer’s workflow.
    • Drill Operator: Starts a set of Drillbits, allowing for auto-scaling of queries based on demand.
    • CSI Driver Operator: Standard plugin to mount persistent volumes to run stateful applications in Kubernetes.

    “MapR is paving the way for enterprise organizations to easily do two key things:  start separating compute and storage and quickly embrace Kubernetes when running analytical AI/ML apps,” said Suresh Ollala, SVP Engineering, MapR. “Deep integration with Kubernetes core components, like operators and namespaces, allows us to define multiple tenants with resource isolation and limits, all running on the same MapR platform. This is a significant enabler for not only applications that need the flexibility and elasticity but also for apps that need to move back and forth from the cloud.”

    In this release, MapR delivers on six key benefits:

    • Handle compute bursts by spinning additional compute containers without having to add more physical host servers;
    • Isolate resources and prevent applications from starving each other of resources by setting granular limits on quotas, and by using Spark job operators to create different Spark clusters;
    • Accommodate fluctuating query workload by growing Drillbits dynamically based on load and demand;
    • Run different versions of Spark and Drill on the same platform,
    • Allow for multiple tenants to co-exist; and
    • Deploy Spark and Drill container applications, along with MapR volumes, across multi-cloud environments, including private, hybrid and public clouds;

    These capabilities will be available in Q2 2019.

    Supporting Resources

    Blog:  https://mapr.com/blog/deploying-native-spark-and-drill-applications-in-kubernetes-just-got-easier/

    Image: https://mapr.com/products/whats-new/compute-storage/assets/supported-deployment-models-sdm.jpg

    Tweet this: .@MapR Accelerates Separation of Compute and Storage #containers #Kubernetes https://mapr.com/company/press-releases/mapr-accelerates-separation-of-compute-and-storage/

    About MapR Technologies

    MapR Technologies is a visionary Silicon Valley software company and creator of the next-generation data platform for AI and analytics, with the scale and reliability required by enterprise-grade, mission-critical deployments. The MapR Data Platform delivers the power of dataware to accelerate data-driven innovation. Forward leaning companies such as Cisco, Philips, and Société Générale, are able to create new data-driven solutions to outperform the competition. Learn more: mapr.com.

    MapR is a registered trademark of MapR Technologies, Inc. in the United States and other countries.  Other names and brands may be the property of others.

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  • Sauce Labs Launches New Front-End Performance Testing Solution to Help Organizations Further Accelerate App Delivery and Improve User Experiences

    • New Sauce Performance offering evolves company portfolio beyond functional testing 
    • Combines front-end performance testing with functional testing to increase developer productivity  
    • Enables developers to identify and address front-end application performance issues early in the delivery pipeline to speed app development and deliver more reliable user experiences

    SAN FRANCISCO – April 2, 2019 – Sauce Labs Inc., provider of the world’s most comprehensive and trusted continuous testing cloud, today announced the launch of Sauce Performance, a new front-end performance testing solution that expands the company’s solutions beyond functional testing and enables organizations to more quickly and reliably deliver applications to customers. Combining both front-end performance and functional testing into a single solution, Sauce Performance provides developers with actionable insight into performance issues early in the CI/CD pipeline. This empowers developer teams to work faster and more productively, while ensuring an optimal user experience for their customers.

    In the digital era, quality is defined by more than just features and functionality. Speed to market and user experience are now equally important to customers, creating pressure for developers to rapidly deliver flawless web and mobile applications. Against this backdrop, the traditional approach of conducting application performance testing late in the software development process, and focusing on backend load/stress testing, is no longer effective. Developers need to identify and resolve both functional and front-end performance issues as early in the development process as possible. With Sauce Performance as part of the Sauce Labs Continuous Testing Cloud, they can now do just that.

    “Developers at digitally driven organizations have made shifting left and implementing continuous testing throughout the software delivery pipeline a top priority, and front-end performance testing is critical to those efforts,” said Lubos Parobek, VP of Products, Sauce Labs. “By enabling developers to pinpoint and fix front-end performance issues as part of their continuous integration and continuous delivery processes, Sauce Performance reduces the tangible and intangible costs incurred when issues are found late in the development lifecycle. Combined with the upcoming release of our new headless testing solution, Sauce Labs continues to lead the way for organizations looking to shift testing left.”

    Two Functions, One Solution

    Today’s front-end performance testing solutions typically require a complex integration with a load/stress testing tool, or a separate application performance monitoring tool altogether, creating an added layer of productivity-saping complexity for developers. Sauce Performance simplifies the process by allowing developers to use existing Selenium test scripts to capture both functional and performance test data. This gives developers detailed front-end performance metrics, algorithmically recommended baselines, and root cause analysis, without needing to create new scripts or deploy new infrastructure.

    Additional features and customer benefits of Sauce Performance include:

    • Root Cause Analysis. Enables teams to resolve performance issues quickly and detect front-end performance issues early in the software development lifecycle. By using performance trace logs, development teams can easily pinpoint issues in the underlying code.
    • Front-End Reporting and Analytics. Provides developers with deep insight into user experience by capturing metrics such as Time to First Meaningful Paint, Time to First Interactive, Page Weight, Speed Index and more.
    • Algorithmic Baselines. Captures application performance metrics and automatically discovers true regressions, improving developer productivity.
    • Debugging log. Uses trace data and film strip as the ultimate debugging log to pinpoint the root cause of performance issues.

    Sauce Performance is available now. For more information, visit the Sauce Performance landing page.

    Helpful Links

    Sauce Performance Landing Page

    Sauce Performance Webinar

    SauceCon Website

    Sauce Labs Website

    Sauce Labs Blog

    About Sauce Labs
    Sauce Labs ensures the world’s leading apps and websites work flawlessly on every browser, OS and device. Its award winning Continuous Testing Cloud provides development and quality teams with instant access to the test coverage, scalability, and analytics they need to deliver a flawless digital experience. Sauce Labs is a privately held company funded by Toba Capital, Salesforce Ventures, Centerview Capital Technology, IVP and Adams Street Partners. For more information, please visithttps://saucelabs.com

     

  • Applitools Sets Sights on AI Powered End-to-End Visual Testing With Introduction of Ultrafast Visual Grid

    Low code, no code testing platform now includes every component the enterprise needs to deliver Continuous Quality at the Speed of CI-CD

    SAN MATEO, Calif., April 2, 2019 – Applitools, a provider of AI Powered end-to-end Visual Testing and monitoring, today announced Applitools Ultrafast Visual Grid as a state of the art testing platform to drive enterprise-wide management of both functional and visual app quality (https://applitools.com/visualgrid). With the release of the Ultrafast Visual Grid, Applitools now delivers the world’s first low-code, super reliable, ultrafast and easy-to-use testing and monitoring platform to support developers, test automation engineers, manual QA, marketing and digital transformation teams for any size company.

    “Applitools new Visual Grid is lighting fast. Here at Gannett (USA Today), tests run across 5 browser viewport sizes and mobile device emulators in just seconds. It’s a huge time saving that helps us expand our test coverage, catch more bugs pre-production and still release faster,” said Greg Sypolt, director of quality engineering at Gannett.

    Applitools is offering free early access to Visual Grid to select customers through May 31, 2019. To request access, please visit (https://go.applitools.com/vgea.html).

    Visual Grid Helps Provide the Fastest, Easiest Path to Test Automation Success

    Applitools AI powered end-to-end visual testing and monitoring platform now includes every component the enterprise needs to quickly succeed in its test automation and CI-CD efforts. Applitools Eyes’ core test management, auto maintenance and dashboard functionality allow anyone on the team to author, fix, analyze results and maintain tests easily. The Root Cause Analysis (https://applitools.com/root-cause-analysis) feature allows any user to spot bugs easily and identify the root cause issue in the underlying code. And now, Applitools Ultrafast Visual Grid leverages Visual AI to instantly validate all app elements on all screens eliminating brittle test code and bloated functional test scripts. It perfectly executes most of the tedious and time-consuming tasks associated with outdated testing techniques. Further, this entire offering integrates perfectly with almost any existing CI-CD testing and monitoring environment to eliminate the QA bottleneck that exists today in many companies.

    Today Applitools Ultrafast Visual Grid supports Selenium Java, Selenium Javascript, Selenium C#, Selenium Python, Selenium Ruby, Selenium IDE, Webdriver IO, Cypress and Storybook. Additional SDKs will follow quickly with plans to support all 50+ SDKs by the end of 2019. The new complete Applitools offering is powerful, yet simple to use, with backwards compatibility with existing tests. Running existing tests on the new Ultrafast Visual Grid does not require any code changes. It simply boosts the performance of existing tests by executing them 30 to 70 times faster in a much more stable and less flaky environment.

    “Applitools Visual Grid integrates seamlessly with our testing framework and provides everything I need to achieve comprehensive cross-browser coverage at the speed of a single test,” said Omri Aharon, Frontend Team Leader at Autodesk.

    Challenges Created By CI-CD and Digital Transformation Require a Fast, Easy and Scalable Approach to Continuous Quality

    As front end developers continue to make massive gains in productivity to build new features faster, quality management approaches are trapped in legacy test automation technology and infrastructure incapable of properly supporting today’s CI-CD and Digital Transformation needs in terms of speed, reliability, and AI assistance. As a result, quality assurance is a bottleneck to delivering high-quality app releases with the speed and quality necessary to compete in today’s business environment. Existing testing techniques, especially those that rely on large, brittle functional test frameworks are not able to provide the accuracy, speed and agility needed to maintain pace with the evolution of app development technologies, environments and practices. Additionally, the pressures of Digital Transformation, with the constant change of environments, devices, microservices and more, creates huge quality challenges for today’s brands. Using outdated testing techniques, the outcome is a combination of a low release velocity, costly bugs in production and ultimately customer churn that impacts revenue. These brands need testing technology built for today’s CI-CD reality.

    Less Code. Less Time. More Coverage. Better Quality.

    Applitools new AI powered end-to-end platform allows teams to continuously test and monitor every aspect of the app before, during and after every code change, with a single open-ended assertion that invokes Visual AI and runs visual validations on an Ultrafast Visual Grid for multiple browsers, operating systems, and viewports. Everything is tested concurrently and instantly. Teams can create, fix and analyze test results quickly and pinpoint the root cause of any bug down to the specific lines of code on the page. Developers can then correct issues in minutes and spend more time writing features that solve business problems while still releasing bug-free apps quickly.

    “Existing test tools, frameworks and grids are fine for basic data entry and app navigation, but they are code heavy, brittle, slow, expensive and break easily when an app is evolving. That makes them ill-suited to the continuous quality needs of today,” said Gil Sever, co-founder and CEO of Applitools. “Applitools platform, which includes Applitools Eyes AI-Powered Visual Testing and Monitoring tool, together with Applitools Ultrafast Visual Grid, now enables AI powered end-to-end Visual Testing and Monitoring with a fraction of the code, much shorter release cycles and AI features. This helps provide better app quality – drastically improving the clarity, speed and collaboration of communication among dev teams needed to eliminate the QA bottleneck.”

    About Applitools

    Applitools provides a state-of-the-art AI-powered end-to-end visual testing and monitoring platform for Developers, Test Automation, Manual QA, DevOps, and Digital Transformation teams. Our Visual AI technology transforms how organizations approach quality by ensuring web and mobile applications appear and operate exactly as designed across any device, browser, OS, or native application. Applitools is fast, quick to integrate with any DevOps environment, easy to use by anyone on the team, and scalable to any size organization looking to increase speed and quality with every release – an outcome necessary to compete in today’s challenging business environment.

    Hundreds of companies from a range of verticals, including Fortune 100 firms in software, banking, insurance, retail, and pharmaceuticals, use Applitools to deliver the best possible digital experiences to their customers. Applitools is headquartered in San Mateo, California, with an R&D center in Tel Aviv, Israel. For more information, please visit applitools.com.

  • Cloud-Native Security Innovator Alcide to Support Amazon Web Services App Mesh

    Provides In- and Out-of-Mesh Micro Segmentation for Services Running on AWS App Mesh

    Tel Aviv – March 27, 2019 – Alcide, a cloud-native security leader empowering DevSecOps with code-to-production security, to discover, manage and enforce security policies through microservices firewall for workloads running in Kubernetes, today announced that it is part of a select number of vendors selected to support the general availability of Amazon Web Services (AWS) App Mesh. AWS App Mesh was designed to make it easy to monitor and control microservices running on AWS.

    AWS App Mesh makes it easy to run microservices by providing consistent visibility and network traffic controls for every microservice in an application. AWS App Mesh removes the need to update application code to change how monitoring data is collected or traffic is routed between microservices. AWS App Mesh configures each microservice to export monitoring data and implements consistent communications control logic across an application. This makes it easy to quickly pinpoint the exact location of errors and automatically re-route network traffic when there are failures or when code changes need to be deployed.

    With Alcide, AWS App Mesh customers can benefit from additional end-to-end workload and cloud-native application observability, seamless security monitoring of AWS App Mesh workloads combined with application-centric views and the underlying app-mesh infrastructure workloads for unified security and control. Alcide also adds to existing AWS App Mesh security features by providing additional intelligent audit and compliance capabilities, including automated detection of AWS App Mesh misconfigurations and inappropriate settings. By leveraging Alcide’s Microservices Firewall, which automatically discovers, manages, and enforces security policies across multiple Kubernetes clusters powering AWS App Mesh, users can also benefit from unified in- and out-of-mesh microservice segmentation, microservices behavioral-based anomaly detection for the entire AWS App Mesh workload fleet spanning multiple clusters.

    “We are thrilled to be supporting AWS App Mesh at launch,” said Gadi Naor, CTO and co-founder, Alcide. “With service mesh, becoming the go-to backbone of cloud native applications, offering resiliency and operational efficiency through observability, Alcide delivers the high-resolution security and policy controls, through its Microservice Firewall, Anomaly detection and continuous security for both in and out of the mesh workloads running on Amazon Elastic Container Service for Kubernetes (Amazon EKS). We are empowering DevSecOps, first class cloud native citizens, to stay ahead of security threats and risks continuously, early on in the application deployment pipeline.”

    Alcide was a launch AWS Partner Network (APN) Partner for Amazon EKS, announced in June 2018. With Alcide, Amazon EKS customers can monitor changes and visually explore Kubernetes Network Policies, including how these are layered on top of AWS Security Groups. Alcide’s support for Amazon EKS allows security policies to be even more easily tuned and refined through application labeling or automated assignment to the relevant tier in the organization. Alcide Security Groups aims to help security teams with simple management and control of their entire AWS assets.

    About Alcide

    Alcide is a cloud-native security leader empowering DevSecOps teams to continuously secure and protect their growing multi-cluster Kubernetes deployments. By automatically discovering, managing and enforcing security policies across deployments, Alcide’s Microservices Firewall for K8s and Istio enables unified code-to-production enforcement of security policies spanning networks and workloads. This enables the smooth operation of business apps while protecting cloud deployments from malicious attacks. More at https://www.alcide.io/

  • Carbonite Closes Acquisition of Webroot

    Transaction combines data backup and recovery technology with cybersecurity platform to deliver complete data protection for customers and their endpoints

    BOSTON & BROOMFIELD, Colo.–(BUSINESS WIRE)–Carbonite, Inc. (NASDAQ: CARB), a leading cloud-based data protection provider, today closed its previously announced acquisition of Webroot Inc. The combination of cloud-based backup and recovery with cloud-based cybersecurity introduces a new approach to data protection for the endpoint.

    The total purchase price for Webroot was $618.5 million in cash, as adjusted with respect to cash, debt, transaction expenses and working capital. The purchase price was funded with existing cash on hand and funds secured under a new $550 million term loan. The interest rate on the term loan is a floating rate based upon LIBOR plus 3.75%.

    The Webroot business unit will be led by John Post, formerly Webroot’s CFO, as SVP and GM, and will report directly to Mohamad Ali, President and CEO of Carbonite. Together, Webroot and Carbonite share a common go-to-market approach of delivering customer success through partner channels.

    “The combination of these two companies creates a unique and powerful data protection and cybersecurity solution for our customers and partners,” said Mohamad Ali, Carbonite CEO. “We are thrilled to officially welcome Webroot to the Carbonite family and look forward to delivering positive results together.”

    “Webroot and Carbonite share a common vision to empower small and mid-sized businesses with next generation solutions purpose-built for their unique needs,” said John Post, SVP and GM of Webroot, a Carbonite company. “I’m confident we will build on the momentum of Carbonite and Webroot’s cloud-based approach to protecting endpoint data as we aim to deliver strong results for customers and partners.”

    Resources:

    About Carbonite
    Carbonite provides a robust Data Protection Platform for businesses, including backup, disaster recovery, high availability and workload migration technology. The Carbonite Data Protection Platform supports businesses on a global scale with secure cloud infrastructure. To learn more, visit www.carbonite.com and follow us on Twitter at @Carbonite.

    About Webroot
    Webroot harnesses the cloud and artificial intelligence to protect businesses and individuals against cyber threats. Webroot is a leading cybersecurity provider for managed service providers and small businesses, who rely on Webroot for endpoint protection, network protection, and security awareness training. Webroot BrightCloud® Threat Intelligence Services are used by market-leading companies like Cisco, F5 Networks, Citrix, Aruba, A10 Networks, and more. Leveraging the power of machine learning to protect millions of businesses and individuals, Webroot secures the connected world. Headquartered in Colorado, Webroot operates globally across North America, Europe, and Asia. Discover Smarter Cybersecurity® solutions at www.Webroot.com.

  • New XebiaLabs DevOps Prediction Engine Uses Machine Learning to Deliver a “Weather Forecast” for Software Delivery

    BOSTON–(BUSINESS WIRE)–XebiaLabs, the recognized leader in enterprise-class DevOps and Continuous Delivery software tools, today announced the first predictive risk solution for DevOps that warns teams of delays and risks in the software delivery process. Using a new DevOps Prediction Engine, the XebiaLabs DevOps Platform’s Risk Prediction Module combines machine learning with a proprietary algorithm to give teams a “weather forecast” for their releases before those releases even start to run.

    Software Releases Often Plagued by Unforeseen Release Delays and Failures

    It’s hard for DevOps teams to predict factors that will delay releases or cause them to fail—and teams are often surprised by failures after release processes have already started, leaving them scrambling to roll back changes and resolve errors.

    DevOps Prediction Engine Shines Light on Release Problems Before They Happen

    The XebiaLabs DevOps Prediction Engine highlights potential bottlenecks before release processes start, so Release Managers, Developers, and DevOps Engineers can take preventative action, adjust timelines, and keep the business in the loop. Powerful predictive risk analysis enables DevOps teams to answer questions such as:

    • What are the chances this release will fail, and what can we do about it?
    • Is this release likely to be delayed, and by how long?
    • How likely is a team member to skip specific release tasks, and why?
    • What caused releases like this one to fail or be delayed in the past?

    Predictive Risk Analysis Prevents a Release Disaster

    XebiaLabs already provides customizable risk scoring that identifies warning signs during a release process to indicate when it is not on track. Now, the company has added a new Risk Forecast Function to the XebiaLabs DevOps Platform. Powered by a machine learning-based DevOps Prediction Engine, it offers the following capabilities:

    • Risk alerts that warn the team when a release is likely to be delayed or to fail, before the release pipeline starts running, so they can take preventative action
    • A comprehensive Risk Forecast view that summarizes predicted delays and failures for every task in the release process, so teams can drill down into the specific parts of the process that are likely to cause issues
    • An overview of statistics for similar releases, so teams can see historical analysis at a glance and identify trends in both release and task failure, across all tools in their release pipeline
    • Release forensics that uncover flaky automated tests, problematic build setups, long-running deployments, and time-consuming manual tasks, so teams can identify their biggest pain points and make the changes that will have the most impact on their ability to deliver software quickly and reliably

    “The XebiaLabs DevOps Platform has long included advanced features for enabling organizations to reduce the potential for risk failure,” said Andreas Prins, Vice President of Product Strategy for XebiaLabs. “The XebiaLabs Predictive DevOps Engine is another huge step forward towards increasing IT teams’ ability to move away from reactive management of their releases, to a proactive approach that preempts failure and optimizes their pipelines for success.”

    Learn More

    About XebiaLabs

    XebiaLabs develops enterprise-scale Continuous Delivery and DevOps software, providing companies with the visibility, automation and control they need to deliver software faster and with less risk. Global market leaders

     

  • Harness Teams with Amazon Web Services to Bring Continuous Delivery-as-a-Service to Cloud-Native Applications Harness Announces Availability for Purchase on AWS Marketplace

    SAN FRANCISCO, March 27, 2019 – Harness, a Continuous Delivery-as-a-Service platform, today announced that it is now available for purchase on Amazon Web Services (AWS) Marketplace — giving AWS customers the ability to access Harness’ solution for automating the Continuous Delivery process and delivering artifacts to production quickly, securely, and repeatedly using Machine Learning (ML) and templatized pipelines. Harness has also recently achieved Standard Technology Partner status in the AWS Partner Network (APN).

    Harness brings the power of enterprise Continuous Delivery to DevOps and engineering teams, empowering them to move fast and ship code without the fear of failed deployments. With its Smart Automation technology, Harness helps automate the entire continuous delivery process. By applying unsupervised machine learning to the process — a new technology called Continuous Verification — the platform understands an application’s baseline environment and can initiate automatic rollbacks when irregular activity is detected, avoiding application downtime or widespread failures.

    Linedata is a public company that uses Harness as well as Amazon Elastic Compute Cloud (Amazon EC2), AWS Fargate for Amazon Elastic Container Service (Amazon ECS), Amazon Relational Database Service (Amazon RDS), Amazon Route 53, Amazon Simple Storage Service (Amazon S3), Amazon Elastic Container Registry (Amazon ECR), and AWS Lambda. “By empowering our teams with self-service, we are able to introduce non-technical business units to the benefits of DevOps methodology, adding direction to speed and quality and embracing BizDevOps (DevOps 2.0),” said Andrey Budzar, Director of DevOps at Linedata. “By leveraging the power of Harness and AWS, we’ve reduced deployment time by 80%, verification time by 80% and strengthened the feedback loop between Engineering and the Business, resulting in massive cost savings while increasing innovation velocity and maximizing value for our customers.”

    “Harness customers are deploying applications at a lightning pace to AWS, and therefore teaming with AWS and joining AWS Marketplace is a natural fit for Harness as we continue to grow quickly and offer our platform to resource-strapped engineering and DevOps teams worldwide,” said Jyoti Bansal, Harness co-founder & CEO. “We see Continuous Delivery as an extraordinarily complicated problem that, today, people are solving using outdated tools: Jenkins pipelines, scripting, and tons of manual oversight. The Harness Continuous Delivery platform is designed for exactly the kinds of complex, cloud-native applications that are the lifeblood of AWS customers.”

    Key features of the Harness Continuous Delivery platform include:

    • Pipeline Builder. Instead of taking hours to build pipelines, DevOps teams can build and execute complete continuous delivery pipelines in minutes with serial or parallel workflows across their applications, services, and environments.
    • Workflow Wizard. Complex deployments become simple with out-of-the-box support for canary deployments, blue/green deployments, and rolling updates on Amazon EKS, Amazon ECS, AWS Lambda, and AWS Auto Scale Groups.
    • Continuous Verification. Release teams finally know for sure that deployments succeeded or failed by leveraging unsupervised machine learning to automatically verify application deployments in production. They can detect errors quality and regressions from tools such as Amazon CloudWatch, AppDynamics, New Relic, Splunk, Elastic and Sumo Logic, as well as use the Harness 24×7 ServiceGuard feature to monitor the performance of releases indefinitely.
    • Automated Rollback. Instead of painful, manual rollbacks, Harness can automate rollbacks to the last working artifact version and run-time configuration with no required scripting or code.
    • Continuous Security. Harness bakes in security into every step of the deployment process. Harness uses its SecretStore, built on AWS Key Management Service (AWS KMS), or deep HashiCorp Vault integration to seamlessly reference secrets across all deployment workflows and pipelines. Harness also keeps full audit trail of every deployment, so teams know the who, what, where, and when behind every action.
    • Real-Time Delivery Analytics. DevOps and engineering team leads now have powerful insight into every application, environment, version, and deployment. Teams can debug deployments in seconds, and role-based access is baked into every part of the platform.

    Harness is free to try for two weeks, and can be accessed directly on AWS Marketplace at https://aws.amazon.com/marketplace/pp/B07PZY3369.

    About Harness

    Based in San Francisco, Harness is the industry’s first Continuous Delivery-as-a-Service platform designed to provide a simple, safe and secure way for engineering and DevOps teams to release applications into production. Harness uses machine learning to detect the quality of deployments and automatically roll back failed ones, saving time and reducing the need for custom scripting and manual oversight. Harness’ customers include NCR, Soulcycle, Jobvite, Build.com, McAfee, and Home Depot QuoteCenter. Try Harness for free at harness.io.

  • Hazelcast Strengthens Cloud-Native Offerings, Introduces New Managed Service

    Hazelcast Cloud delivers simplified and instantaneous deployments for workloads requiring lowest latency at any scale

    Palo Alto, Calif., March 26, 2019 – Hazelcast, the leading in-memory computing platform company, today announced Hazelcast Cloud, a fully managed, low latency data layer for cloud-based workloads at any scale.

    With Hazelcast Cloud, companies can realize microsecond[1] performance for critical applications from the smallest to the most extreme scale, all in a simplified and instantaneous deployment model. Designed for cloud-native applications and specializing in low latency data access, Hazelcast Cloud is a perfect data store alternative for serverless functions.

    “In the digital era, latency is the new downtime and microseconds matter,” said Kelly Herrell, Hazelcast CEO.

    “While cloud services are simple and economical for broad market use, they cannot power the most time-sensitive applications at scale. With Hazelcast Cloud, customers no longer have to accept this tradeoff. Now the same platform powering key on-premises applications for the world’s largest organizations is at the developer’s fingertips as a managed service.”

    From its intuitive and straightforward browser-based console, Hazelcast Cloud enables enterprises to instantly deploy Hazelcast’s in-memory computing solutions in a pre-configured manner. Customers are then able to apply industry-leading performance and scale, in a more cost-efficient and simpler deployment model.

    Hazelcast Cloud and Cloud Dedicated

    Hazelcast offers three editions of its managed service: Hazelcast Cloud (Free), Hazelcast Cloud and Hazelcast Cloud Dedicated.

    The initial free and paid versions of Hazelcast Cloud are designed primarily for the test and development phases of a project. While the two versions share the same technology, the paid offering includes always-on status, higher memory size limits and customer support. Both editions run on cloud instances operated by Hazelcast.

    Hazelcast Cloud Dedicated is deployed within the customer’s virtual private cloud (VPC) instance, but configured and maintained by Hazelcast. Suited for production workloads, Hazelcast Cloud Dedicated eliminates memory size restrictions, while adding features such as multithreading, multi-region availability and enterprise-grade support.

     

    Kubernetes and Docker

    Hazelcast Cloud is built on three widely adopted technologies: Hazelcast In-Memory Data Grid (IMDG), Kubernetes and Docker. While Hazelcast IMDG provides a distributed data layer, Kubernetes and Docker provide dynamic orchestration and containerization, respectively. Combined, Hazelcast Cloud delivers a powerful cloud-native serverless managed service.

    Democratizing In-Memory Computing for All Developers

    Expanding beyond its steeped history in the Java community, Hazelcast is making in-memory computing accessible to non-Java developers. For companies building applications in Java, .NET, Python, Node.js or Go, they can now deploy in-memory computing technologies to improve the performance and scale of the application, and ultimately the end-user experience.

    Product Roadmap

    Hazelcast Cloud (free and paid) for Amazon Web Services (AWS) is available now. Microsoft Azure and Google Cloud Platform (GCP) will be supported later this year.

    Hazelcast Cloud Dedicated is expected to be available in mid-2019.

    Additional Resources

    Notes

    [1] Performance is dependent on application location relative to Hazelcast Cloud.

    About Hazelcast, Inc.
    Headquartered in Silicon Valley, Hazelcast is the leading in-memory computing platform company which addresses the growing demand for enhanced application performance, data processing speed and scalability.

    Hazelcast has two products: Hazelcast IMDG, an operational, in-memory computing platform which enables enterprises to manage their data and distribute processing using in-memory storage and parallel execution to achieve breakthrough application speed and scale; and Hazelcast Jet, the ultra-fast, application embeddable, stream and batch processing engine.

    Hazelcast’s customers include six of the world’s 10 largest banks and 36 of the Fortune Global 500; its technology is deployed at nearly every major credit card company, five of the world’s largest e-commerce companies and four of the largest telecommunications companies.

    For more information, visit hazelcast.com or follow us on Twitter @Hazelcast.