OpenText launched the latest version of ValueEdge -- an innovative modular, cloud-based DevOps and value stream management (VSM) platform.
In the cloud world, containers are the centerpoint of a growing majority of deployments. By providing compartmentalization of workloads and the ability to run "serverless," containers can speed up and secure deployments and create flexibility unreachable by old style application servers. While a variety of tools have been developed to meet this need, none are as impactful to the industry as Kubernetes. It has emerged as the de facto container orchestration tool for many companies.
Kubernetes alone is a powerful framework, but relies entirely on proper configurations to achieve the desired results. Kubernetes facilitates the ability to automate the DevOps CI/CD pipeline but alone can be unwieldy.
Key Challenges With Kuberenetes:
■ No native containerization framework support to easily migrate existing workloads from VMs to Kubernetes
■ High dependency on the underlying platforms and architecture slows down deployments on on-premises and hybrid clouds
■ Security is an afterthought making the deployment vulnerable to supply chain attacks (for example, Sunburst)
No-code DevOps Orchestration and Kubernetes together can create fully-managed Infrastructure-as-Code CI/CD (Continuous Integration and Continuous deployment) pipelines for container-based applications.
This approach provides the best of the both worlds, taking advantage of Kubernetes' open-source system to manage your containerized applications, while techniques such as toolchain automation, declarative CI/CD pipelines, and end-to-end visibility can enable developers and engineers to build, secure, validate, and deploy applications using drag-and-drop tools and build a no-code pipeline in minutes.
■ Simplify containerization efforts when adopting the Kubernetes framework
■ Achieve continuous orchestration across on-premises or hybrid clouds
■ Accelerate CI/CD with automated quality and security checkpoints even in multi-vendor deployments
■ Identify gaps and improve observability with unified visibility across the entire CI/CD
Define and Deploy Infrastructure as Code
As discussed previously, a big advantage of Kubernetes framework is that anything that can be defined, can be automated. But this must all be built and configured before Kubernetes can take over stateful control. This can present a challenge for users, depending on their skills and knowledge of Kubernetes. For example, in order to automate code deployments, a load balancer must be configured. As well, a successful automation must contain security gates and quality checkpoints that halt the deployment and rollback if unmet.
Building this by hand in Kubernetes can be a daunting task, however orchestration tools make this go from challenging to straightforward. Across any cloud or hybrid platform, you can easily define your clusters, nodes, pods, and containers while implementing security groups and checks/scans using continuous orchestration and Terraform templates.
An orchestration framework enables DevOps and Cloud engineers to add validation, thresholds, gates, approvals and add additional steps in the workflow without writing custom code. Aggregating software delivery analytics with observability and a singular view across your CI/CD process is critical. This also helps create visibility into activity logs across various steps for visibility across the entire CI/CD pipeline.
From Old to New Migrating VM Workloads to Containers
As previously discussed, many critical enterprise workloads are still running in VMs or on dedicated physical servers and can be difficult to migrate into containerized infrastructure due to operating system dependencies and lack of native container support.
However, architecting for DevOps orchestration greatly simplifies the migration process of SDLC applications down to several easy steps:
1. Leverage an orchestration framework and connect the existing VM code base to a Continuous Integration (CI) system.
2. Create a Docker image as part of the build process.
3. Place the container in the repository management system (Artifactory, ECR, Nexus, etc.).
4. Scan the image using native K8 security scans and upon validation, deploy the container with the respective microservices code into the K8 cluster.
5. Upon validation, promote the docker image from QA to production.
The following CI/CD pipeline depicts the ways you can convert the VM images into Docker images and deploy them into Kubernetes clusters:
DevOps Meets SecOps: Building Security & Quality Gate Automations
Leveraging an orchestration framework and declarative CI/CD pipelines enables DevOps and Cloud engineers to automatically take code from repository to production in a Kubernetes cluster with minimal user intervention. To achieve this, create a pipeline that will build and deploy committed code changes as long as they meet the security and quality thresholds and gates in the pipelines. Using the following steps, you can easily create a native K8 pipeline with security and quality gates without writing any custom code.
Orchestration frameworks can help manage a collection of DevOps tools, integrate them seamlessly with a plug-and-play architecture, automate your workflows with drag-and-drop options, aggregate and contextualize logs to provide continuous insights across your entire DevOps environment.
Using drag-and-drop options, you can easily build the pipelines and workflows across various DevOps stages: code commit, software builds, security scans, vault integration, approvals, notifications, thresholds and gates, quality testing integrations, validation, integration with change control and monitoring tools, and deployment while maintaining insights and logs for each step along the way.
Kubernetes, while powerful and capable straight out of the box, is also complex and presents numerous challenges. Thanks to orchestration frameworks, there is a simple way to address and remove those barriers. Configurations are straightforward to design, logging is covered at every step and pulled into unified views, and security and quality are easy to gate check.
Accelerate the Migration to Kubernetes
Kubernetes provides the mechanisms and the environment for organizations to deploy applications and services to customers fast. However, migrating existing workloads to Kubernetes, and implementing security and quality can still be daunting. TheCloud Native Computing Foundation survey indicates that 46% of DevOps respondents feel security is a top challenge. A recent report from D2iQ finds that 38% of the developers and architects have indicated that working with Kubernetes is a source of extreme burn out.
With an orchestration framework, you can create fully managed Infrastructure-as-Code CI/CD pipelines for container-based applications. Accelerate the migration to Kubernetes with orchestration by introducing new pathways to agility, automation, and optimization for the DevOps environment. It also means that teams don't have to build resiliency and scalability into the application — they can trust that Kubernetes services will take care of that for them — enabling DevOps teams to effectively leverage the advantages of Kubernetes, without security, quality or operational woes.
Oracle announced the availability of Java 20, the latest version of the programming language and development platform.
Rafay Systems introduced Environment Manager, a solution that empowers enterprise platform teams to improve the developer experience by delivering self-service capabilities for provisioning full-stack environments.
To meet the growing demand for Oracle Container Engine for Kubernetes (OKE) with global organizations, Oracle Cloud Infrastructure (OCI) is introducing new capabilities that can boost the reliability and efficiency of large-scale Kubernetes environments while simplifying operations and reducing costs.
Perforce Software joined the Amazon Web Services (AWS) Independent Software Vendor (ISV) Accelerate Program and listed its free Enhanced Studio Pack (ESP) in AWS Marketplace.
Aembit, an identity platform that lets DevOps and Security teams discover, manage, enforce, and audit access between federated workloads, announced its official launch alongside $16.6M in seed financing from cybersecurity specialist investors Ballistic Ventures and Ten Eleven Ventures.
Hyland released Alfresco Content Services 7.0 – a cloud-native content services platform, optimized for content model flexibility and performance at scale.
CAST AI has announced the closing of a $20M investment round.
Check Point® Software Technologies introduced Infinity Global Services, an all-encompassing security solution that will empower organizations of all sizes to fortify their systems, from cloud to network to endpoint.
OpsCruise's Kubernetes and Cloud Service observability platform is certified to run on the Red Hat OpenShift Kubernetes platform.
DataOps.live released an update to the DataOps.live platform, delivering productivity for data teams.
CoreStack and Zensar announced a strategic global partnership. CoreStack will provide its AI-powered NextGen cloud governance and FinOps capabilities, complementing Zensar’s composable cloud operations offering.
Delinea introduced the Delinea Platform, a cloud-native foundation for Delinea's PAM solutions that empowers end-to-end visibility, dynamic privilege controls, and adaptive security.
Sysdig announced a new foundation that will serve as the long-term custodian of the Wireshark open source project.
Talend announced the latest update to Talend Data Fabric, its end-to-end platform for data discovery, transformation, governance, and sharing.