Operations | Monitoring | ITSM | DevOps | Cloud

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Canary Release on Kubernetes with Spinnaker, Istio, and Prometheus

In a microservices world, applications consist of dozens, hundreds, or even thousands of components. Manually deploying and verifying deployment quality in production is virtually impossible. Kubernetes, which natively supports rolling updates, enables blue-green application deployments with Spinnaker. However, the gradual rollout is a feature that doesn't come out-of-the-box but can be achieved by adding Istio and Prometheus to the equation.

Centralizing Kubernetes and Container Operations

While developers see and realize the benefits of Kubernetes, how it improves efficiencies, saves time, and enables focus on the unique business requirements of each project; InfoSec, infrastructure, and software operations teams still face challenges when managing a new set of tools and technologies, and integrating them into existing enterprise infrastructure. 

Enabling Digital Transformation with Container Technologies

Digital transformation may be in danger of becoming an overused buzzword. Yet, real business needs are driving this trend and IT leaders feel the pressure to transform their businesses every day. Whether it is the need for speed, agility, or rethinking business processes as a whole – these challenges are here to stay.

Application Deployment with Kubernetes

Kubernetes ensures your deployed applications are always available to users. But how do you deploy applications in Kubernetes without user/service interruptions? Should you write your own scripts using low-level Kubernetes objects, package everything in Helm, or use specific CI/CD tools? There isn’t a clear-cut answer; it always depends.

Kubernetes, Data Science and Machine Learning

Enabling support for data processing, data analytics, and machine learning workloads in Kubernetes has been one of the goals of the open-source community. During this meetup, we’ll discuss the growing use of Kubernetes for data science and machine learning workloads. We’ll examine how new Kubernetes extensibility features such as custom resources and custom controllers are used for applications and frameworks integration. Apache Spark 2.3.’s native support is the latest indication of this growing trend. We’ll demo a few examples of data science workloads running on Kubernetes clusters setup by our Kublr platform.

Dev How You Want. Run Where You Want: Application Portability with Kubernetes

Containers and Kubernetes allow for code portability across on-premise VMs, bare metal or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this online meetup Oleg Chunikhin, CTO at Kublr, describes best practices for “configuration as code” in a Kubernetes environment. He demonstrates how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules, and services, can be used to abstract from the infrastructure.

Resolve Acquires FixStream: IT Automation + AIOps in One Powerful Platform

Resolve, the leading IT automation and orchestration platform, announced the acquisition of FixStream, a pioneer in AIOps. The acquisition will enable Resolve to offer the most robust IT automation platform available on the market by combining artificial intelligence insights into dynamic, hybrid IT environments with powerful automation capabilities that are purpose-built for the complexity of modern enterprises.

Powering Jira Workflows with Real-Time Messaging

Tens of thousands of developers and product teams around the world use Jira for issue tracking and project management. While Jira helps software development teams increase productivity, streamline collaboration, and improve issue prioritization, it does come with its fair share of pain points—just like virtually every other piece of technology.

Healthcare IT Trends and Challenges

Technology and digitization are disrupting every industry—and healthcare is no exception. In this time-critical industry, patient care needs to be efficient and convenient. This is increasingly evidenced by the rise of individualized healthcare via direct-to-consumer (D2C) and convenience care models such as telemedicine to find doctors, pay bills, schedule appointments, order prescription refills, receive consultations, and more.