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Organizations are witnessing a rapid evolution in frameworks for big data analytics such as Apache Spark and Hadoop. They are also handling ever-growing volumes of data. To help improve computing reliability and efficiency, many of these next-generation applications are being composed of microservices that run in lightweight container environments.
While containers allow developers to move workloads quickly across cloud environments, the challenge is that many application framework controllers become overly complex when moving into production, which may require the container environment to scale from a few small clusters to hundreds or even thousands. In addition, they often lack the agility and flexibility needed to effectively manage the variable nature of microservices applications.
Time for a better approach
Instead of piecing together a solution using unproven tools, why not use high-performance management software—such as IBM Spectrum Conductor—to efficiently deploy, manage and keep your applications running reliably throughout their lifecycle? The IBM Spectrum Conductor solution for containers can help simplify container-based cluster management using integrated controls and task-scheduling capabilities well-suited for diverse, distributed workloads. Lightweight containers based on Docker provide a more efficient environment that allows faster integration and access to analytics, big data and security services.
Unlike competing approaches based on virtualization technologies or open source efforts, the IBM Spectrum Conductor solution for containers provides integrated software-defined computing and storage for efficient, fine-grained resource sharing across applications, users and lines of business. Policy-based workload management controls allow applications to harness resources that might otherwise be idle. Each application receives the resources and data it needs, when it needs them, cutting out wait times and accelerating results.
Simplify management with integrated controls
Consolidating container-based clusters can be difficult, as many next-generation application frameworks have their own workload schedulers, each with its own unique management, monitoring and reporting interface. The IBM Spectrum Conductor solution for containers can provide integrated management and monitoring, eliminating the need for administrators to collect and aggregate metrics from each framework individually. They can efficiently monitor services to meet service-level objectives and quickly bring new resources online as needed.
As more scale-out architectures land in the data center, the value proposition for cluster management tools will grow. To that end, we continue to work on solutions that improve application framework performance and resiliency.
To learn more about the IBM Spectrum Conductor solution for containers, click on these resources: