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The latest News and Information on Cloud monitoring, security and related technologies.

Search and replicate across regions and cloud service providers with Elastic Cloud

We are excited to announce the general availability of cross-cluster search and replication on Elastic Cloud. These two features allow you to search and replicate data across clusters in different regions and cloud service providers globally, making it possible to: Be sure to dive in and learn more about the features below! Cross-cluster search lets you search remote clusters across multiple regions and cloud service providers. When you break down regional data silos, you can get insights faster.

Database Cloud Migration Done Right - SolarWinds Lab Episode #95

The global pandemic has accelerated corporate planning for cloud computing and digital transformation by 2-4 years on average. But database migration, the process of moving a database from one place to another, is no walk in the park. Obstacles abound. Setbacks are common.

The New Wave of Kubernetes: Introducing Serverless Spark

It’s been six years since Kubernetes v1.0 was released in 2015, and since then it’s become a critical technology foundation to deploy modern, cloud native applications with speed, develop them with agility and scale them with flexibility. With a fast-maturing ecosystem, advancements in tooling are making it possible for a new wave of applications to be deployed on Kubernetes.

Automating optimization for Azure Kubernetes Service (AKS)

When running AKS clusters, ideally you want the compute infrastructure to adapt to your Kubernetes workload and not the other way around. VMs should automatically match your application requirements all the time without labor-intensive, hands-on management, and of course, your Azure bill should be as low-cost as possible. However, in trying to achieve this ideal, AKS and Kubernetes users in general, still face significant operational challenges.

5 Best Application Modernization Strategies

To keep up with today’s competitive landscape and with the new normal induced by the pandemic, organizations must modernize their ventures, instigate innovation and be more agile. However, the process of replacing legacy systems isn’t precisely as agile as one thinks it would be. It takes time, and that’s something your company doesn’t have. You need solutions that consolidate years of transformation into mere months.

App Modernization of WebSphere Applications on Linux to WebSphere Liberty Containers

App Modernization is the way forward, especially when you have hundreds of enterprise WebSphere applications nesting on AIX. These applications are age-old, heavy, and expensive to manage and modernize. This causes a huge roadblock especially when your business is growing and your apps need to be scalable, cost-efficient to run and should be highly available. CloudHedge removes the major barrier to AIX WebSphere containerization using the Automated Application Modernization Platform.

Running an open source multi-cloud with Ubuntu, LXD, and Mist

One of the advantages that Ubuntu brings to the cloud equation is improving an organization’s ability to run in multiple clouds. Running containers on top of Ubuntu further increases portability. Mist is an open-source multi-cloud management platform that helps teams centrally manage and control their Ubuntu instances across many different cloud environments and/or bare metal. This removes some of the operational and financial barriers to running applications in multiple clouds.

What to Consider When Monitoring Hybrid Cloud Architecture

Hybrid cloud architectures provide the flexibility to utilize both public and cloud environments in the same infrastructure. This enables scalability and power that is easy and cost-effective to leverage. However, an ecosystem containing components with dependencies layered across multiple clouds has its own unique challenges. Adopting a hybrid monitoring strategy doesn’t mean you need to start from scratch, but it does require a shift in focus and some additional considerations.

Introducing Kaptain, The Cloud Native End-to-End ML Platform

87% of AI initiatives never make it to production but remain stuck as prototypes or one-off research projects. Sustained positive returns on AI investments elude most organizations. In fact, 55% or organizations have not deployed a single machine learning model to production. And for those that have, it can easily take up to 3 months to do so. All this changes with D2iQ Kaptain.