How to provide single-pane visibility across the business multicloud
You can’t manage anything effectively without a clear line of sight to all its moving parts. That’s why, as multiclouds grow more complex, you absolutely need a strong visibility layer to monitor and control it all.
Should you implement the proverbial “single pane of glass” for viewing your multicloud? How you address this imperative depends on the multicloud role you have in mind.
Different visibility platforms support the distinct requirements of different roles:
Multicloud platform administrators: Multicloud monitoring consoles provide continuous visibility into all platform, infrastructure, network, runtime and container components of across the multicloud. They support discovery, mapping, monitoring, security, diagnostics and troubleshooting of routing, traffic, workloads, apps and costs across disparate cloud platform, infrastructure and application domains. They also enable automation of deployment guardrails, role-based access controls, configuration and capacity management, and other policies at scale across cloud deployments. Examples include the consoles in IBM Services for Multicloud Management , Google Cloud Anthos and Cisco Systems Inc.’s CloudCenter Suite .
Multicloud application developers: Source-control repositories provide developers with visibility into all the models, code, APIs, business rules and other multicloud app pipeline artifacts through every step of the DevOps lifecycle. It serves as the hub for collaboration, reuse and sharing of all pipeline artifacts by all involved development and operations professionals.
They also help information technology administrators maintain compliance, governance and change management policies, while simplifying internal solution discovery and ensuring that developers only use approved and compatible apps. Examples include the source-control repositories in Bitbucket , CloudForge , GitHub , GitLab and SourceForge . as well in public clouds such as Amazon Web Services , Microsoft Azure and Google Cloud Platform , as well in diverse private cloud platforms.
Multicloud data management professionals: Big-data catalogs support the needs of chief data officers, data analysts, data stewards and data engineers. The catalogs enable intelligent query and visualization of the data and metadata resources that are deployed across the multicloud. More enterprises are embracing cataloging solutions to reveal insights that would otherwise stay buried in their big-data portfolios.
As noted recently by Alation Inc. , today’s business analysts and information stewards can’t do their jobs effectively without the ability to search, query and share data-driven insights rapidly. Most catalogs use AI to intelligently scan data assets from across the enterprise, automatically add business context metadata, automate data tagging and domain/entity recognition, and drive curation and classification.
