Topic: big data
ITOps 2020 predictions from around the industry
Tim Armandpour, SVP of engineering at PagerDuty Forget reliability — with the adoption of resilience engineering and the proper use of automation, operators can expect a 20% reduction in unplanned work. Today’s organizations are fixated on the reliability of their technology. But any developer can tell you that the reality is not if it will … continue reading
Google launches Cloud Scheduler beta for GCP
Google released the beta of Cloud Scheduler, a fully-managed, serverless job scheduler for the Google Cloud Platform today, designed to allow for the scheduling and execution of batch, big data and cloud infrastructure tasks from within any application. “Job schedulers like cron are a mainstay of any developer’s arsenal, helping run scheduled tasks and automating … continue reading
Hortonworks, IBM and Red Hat team up on the Open Hybrid Architecture Initiative
Hortonworks, IBM and Red Hat have announced a new collaboration to bring Big Data to hybrid environments. The companies announced the Open Hybrid Architecture Initiative designed to take Big Data workloads across on-premise, multi-cloud and edge architectures. The initiative will bring Hortonworks Data Platform, Hortonworks DataFlow, Hortonworks DataPlane and IBM Cloud Private for Data to … continue reading
Why APM has a Big Data problem
Application performance management (APM) didn’t used to have a Big Data problem. Three-tiered application architecture with regular, infrequent updates generated predictable and manageable amounts of data for analysis and dependency mapping. Modern architectures, however, present a Big Data problem. Their virtual machines, containers, microservices, hybrid clouds, and software-defined networks are constantly changing and can … continue reading
Robin Systems brings Kubernetes to Big Data, database and AI/ML apps
Robin Systems wants to extend Kubernetes to data-heavy apps with the release of its hyper-converged Kubernetes platform ROBIN. The new platform is designed to bring the benefits of Kubernetes to Big Data, databases, and artificial intelligence/machine learning solutions. “Kubernetes is the de-facto standard for container orchestration for microservices and applications. However, enterprise adoption of big … continue reading
HPE tackles data problems with Memory-Driven Computing
HPE announced the Memory-Driven Computing Sandbox to introduce edge customers to a new computing architecture for delivering applications and proofs-of-concept. The incubation practice will leverage expertise from HPE and HPE Pointnext to foster specialized skills for solving Big Data problems. “We believe that all data is valuable. Our vision for Memory-Driven Computing is to enable … continue reading
Syncsort reveals five mainframe trends for business and operational initiatives
Syncsort has found five main trends that it says reflects the role mainframe data plays in today’s business and operational intelligence initiatives. The findings come from the company’s State of the Mainframe report, which indicated an increased focus on traditional infrastructure optimization as a way to control costs and help fund strategic organizational projects. The … continue reading
Former President of Intel introduces new chip maker company
A new chip maker, Ampere Computing, has launched this week with the intent of improving the cloud computing experience. Led by CEO Renee James, former president of Intel, the team consists of semiconductor and cloud computing experts. “We have an opportunity with cloud computing to take a fresh approach with products that are built to … continue reading
