Advanced Data Management for Kubernetes – Powered by Robin Storage

Advanced Data Management for Kubernetes - Powered by Robin Storage

Robin Storage White Paper

The Need for Data Management on Kubernetes

Kubernetes is gaining rapid adoption and enterprise customers are demanding the ability to run broader sets of workloads including stateful applications. Running stateful applications such as PostgreSQL, MySQL, MongoDB, Elastic Stack, Kafka, and MariaDB require advanced data management capabilities in order to:

  • Release new products and features faster: Automated lifecycle management for app+data (not just the storage) is required to save valuable time at each stage of the lifecycle.
  • Collaborate quickly across teams: Multiple teams (Dev/Test/Ops) need a mechanism to collaborate without procedural delays. CI/CD pipelines solve a part of the problem with automating the collaboration for code changes, but data is usually left out.
  • Recover from system failures and user errors: App+data protection capabilities such as point-in-time snapshots, backup, and restore are required to recover from system failures and user errors.
  • Avoid infrastructure lock-in: The ability to migrate from on-prem to cloud and vice versa, and among the public clouds is needed to avoid infrastructure lock-in.
  • Deliver predictable performance: To guarantee QoS and to ensure high priority applications do not miss SLAs, you need the ability to set IOPS limits per app.
  • Eliminate security vulnerabilities: Enterprise-grade security is required with authentication and encryption to ensure your data is safe.

Defining and Managing An Application

Kubernetes provides many useful constructs such as Pods, Controllers, PersistentVolumes etc. to help you manage your applications. However, there is no construct for an “Application”, i.e. a single entity that consists of all the resources that form an application. Users have to manually map the resources to an application and manage each resource individually for any lifecycle operation. The lack of a proper Application construct in Kubernetes poses a problem when it comes to performing operations that encompass a group of resources.

Frameworks such as Helm and Operators try to solve this problem by packaging resources together, but they do not solve it beyond the initial deployment. For example, how would one snapshot, clone or backup an entire helm release that spans PersistVolumeClaims, Secrets, ConfigMaps, StatefulSet, Pods, Services etc? Or how about snapshotting a web-tier, app-tier and database-tier each deployed separately using 3 different kubectl manifest files?

  • The Need for Data Management on Kubernetes
  • Defining and Managing An Application
  • Robin Storage: Manage App+Data as a Single Entity
  • Registering Helm Releases as Applications
  • App+Data Time-Travel with Snapshots
  • DevOps Collaboration using App+Data Clones
  • Backup & Restore App+Data to Recover from System Failures
  • App+Data Portability across Clouds

Learn more – Advanced Data Management for Kubernetes

White Paper – Elastic Stack as a Service on Kubernetes

White Paper - Elastic Stack as a Service on Kubernetes

Elastic as a Service on Kubernetes White Paper

The Elastic Stack, also known as the ELK stack, is one of the most popular DevOps tools. DevOps teams rely on the ELK stack to serve critical use cases such as Log Analysis, Metrics Analysis, Application Performance Monitoring, and Security Analytics. As a result, DevOps teams need the ability to provision and manage the ELK stack on-demand.

Kubernetes is revolutionizing how enterprises manage their IT infrastructure. Kubernetes brings automated deployment, effortless scaling, and cloud portability to workloads that run on top of it. These benefits make DevOps teams more productive, especially when applied to frequently used services such as the ELK stack. Containerizing the ELK stack on Kubernetes will help DevOps teams to find insights and resolve issues faster, reduce infrastructure costs, and be ready for the cloud-native world.

In this white paper, we will discuss the benefits of running the ELK stack on Kubernetes, and the most common challenges faced by DevOps teams while doing so. We will address these challenges and explain how the Robin Hyperconverged Kubernetes platform simplifies provisioning and management of ELK stack with 1-click operations.

This complimentary white paper covers how you can deploy ELK Stack as-a-Service in a Kubernetes-based environment:

  • Deploy, manage, and consolidate across any stage of your ELK deployment
  • 1-Click self-service deployment of ELK
  • Multi-tenancy, consolidation and cost savings
  • Deploy, manage, and consolidate across any stage of your ELK deployment
  • 1-Click self-service deployment of ELK on Kubernetes
  • Multi-tenancy, consolidation and cost savings

Learn more – Robin Hyperconverged Kubernetes for Elastic

CNCF Webinar Series – Stateful Workloads and Kubernetes: A Gnarly Problem or an Awesome Opportunity?

Robin Systems Unveils Hyper-converged Kubernetes Platform for Big Data, Databases and AI/ML Applications

Using the unique hyper-converged Kubernetes technology, with built-in enterprise-grade container storage and flexible overlay networking, Robin eliminates these challenges and extends Kubernetes’ multi-cloud portability to big data, databases, and AI/ML.

Robin Explainer Video – Robin Hyper-converged Kubernetes Platform in Two Minutes

Robin Systems Videos

Kubernetes has emerged as the de-facto standard for orchestrating containerized applications that are stateless.However, deploying and managing Stateful, especially Big Data and Database applications requires bringing together several elements across the stack, beyond just storage, to effectively meet their unique retirements.

In this CNCF and Robin webinar, Partha Seetala, Robin.io CTO, will walk through the challenges when it comes to running Stateful applications on Kubernetes, architectural approach to addressing these challenges and demo key scenarios and best practices in delivering any Stateful App as a Service in a multi-cloud world.

Robin Hyperconverged Kubernetes Platform – Deliver Big Data, Databases and AI/ML on Kubernetes

Implementing Oracle Database-as-a-Service for Cloud-Like Agility

Implementing Oracle Database-as-a-Service for Cloud-Like Agility

Robin Explainer Video – Robin Hyper-converged Kubernetes Platform in Two Minutes

Robin Systems Videos

Bringing Oracle and Oracle RAC to Life using Hyper-converged Kubernetes

What You Need to Know

A growing number of organizations are turning to Docker containers to help solve really big application requirements.  Among the biggest out there are those imposed by Oracle and Oracle RAC.  What if you could deploy Oracle or Oracle RAC as a stateless cloud-native workload in your environment?  Transform a complex process into one with an App Store-like experience.

Innovative enterprises are graduating to the next step – employing Kubernetes to orchestrate stateful databases and big data applications.  Don’t believe it?  See lifecycle management tasks for Oracle and Oracle RAC in action!

  • Discover the essentials that you need to know to run an Oracle database or even Oracle Real Application Clusters (RAC) using clustered Docker containers that are orchestrated using Kubernetes.
  • Be treated to a live demo during which you will see how various different database lifecycle management tasks can be performed with just a click of a button
  • Receive an introduction to the Robin Hyper-Converged Kubernetes Platform
  • Get real-world examples from enterprise customers who are deriving value by modernizing their data infrastructure using the Robin Hyper-Converged Platform

Robin Hyperconverged Kubernetes Platform

Elastic Stack-as-a-Service with Kubernetes Solution Brief

Elastic Stack-as-a-Service with Kubernetes Solution Brief

Turbocharge your Elastic Stack infrastructure using cloud-native architecture. Improve the agility and efficiency of your Developers, Operation teams, and Data Scientists.

Highlights »Provision custom Elastic Stack clusters on Kubernetes in minutes »Provide self-service experience to improve developer and data scientist productivity »Scale-up/scale-out Data Nodes dynamically in seconds, without interrupting cluster operations »Ensure data locality for Data Nodes for better performance »Secure your data with encryption at rest and in-motion, authentication, and RBAC »Ensure high availability using rack-aware placement rules for Master and Data Nodes »Consolidate multiple ELK clusters on shared infrastructure to reduce hardware footprint »Trade resources among ELK clusters to manage surges and periodic compute requirements

Top 5 Challenges for Elastic Stack Management The Elastic Stack has made it simple to ingest, search, analyze, and visualize data. However, following challenges keep organizations from unlocking the full potential of the Elastic Stack: »Monolithic ELK clusters: Giant shared ELK clusters slow down developers and data scientists because they cannot make the necessary customizations (e.g. a specific versions of Elasticsearch, or Beats). »Provisioning custom ELK clusters: Developers need customs stacks with different versions and combinations of Elasticsearch, Logstash, Kibana, Beats, and Kafka. They cannot quickly provision/decommission these custom stacks themselves, without creating IT tickets. »Dynamic scaling to meet sudden demands: If a Data Node runs out of resources, there is no easy way to scale-up the node “on-the-fly” by adding more memory or CPU. Scaling-out to add more Data Nodes can also take weeks due to process delays. »Security concerns: Without encryption at rest, your data is vulnerable. All data should be treated as sensitive, and be secured. »Multi-cluster strategy leads to massive hardware costs: Creating dedicated clusters for individual “tenants” (teams, workloads, applications etc.) is a good strategy. But requires provisioning each cluster for peak capacity, leading to significant hardware underutilization. Robin Platform Enables “As-a-Service” Experience Robin is a Software Platform for Automating Deployment, Scaling and Life Cycle Management of Enterprise Applications on Kubernetes. Robin automates the provisioning and day-2 operations so that you can deliver a “Self-Service” experience with 1-click deployment simplicity for developers, DBAs, and Data Scientists

Solution Benefits and Business Impact

Robin brings together the simplicity of hyper-convergence and the agility of Kubernetes.

Deliver Insights Faster

Self-service experience

Robin provides self-service provisioning and management capabilities to developers, operations teams, and data scientists, significantly improving their productivity. It saves valuable time at each stage of application lifecycle.

Provision custom stacks in minutes

Robin has automated the end-to-end cluster provisioning process for the Elastic Stack, including custom stacks with different versions and combinations of Elasticsearch, Logstash, Kibana, Beats, and Kafka. The entire provisioning process takes only a few minutes.

Eliminate “right-size” planning delays

DevOps and IT teams can start with small deployments, and as applications grow, they can add more resources. Robin runs on commodity hardware, making it easy to scale-out by adding commodity servers to existing deployments.

Scale on-demand

No need to create IT tickets wait for days to scale-up Data Nodes by adding more memory, CPU, or Storage, or to scale-out by adding more Data Nodes. Cut the response time to few minutes with 1-click scale-up and scale-out.

Reduce Costs

Improve hardware utilization

Robin provides performance isolation and role-based access controls (RBAC) to consolidate multiple ELK workloads without compromising SLAs and QoS, increasing hardware utilization and reducing cost. Ensuring data locality for Data Nodes also provides better performance, reducing hardware footprint.

Simplify lifecycle operations

Native integration between Kubernetes, storage, network, and application management layer enables 1-click operations to provision, scale, snapshot, clone, backup, migrate ELK clusters, reducing the administrative cost.

Trade resources among ELK clusters

Reduce your hardware cost by sharing the compute resources between clusters. If an ELK cluster runs the majority of its batch jobs during the night-time, it can borrow a resource from an adjacent ELK cluster with day-time peaks, and vice versa.

Future-proof your Enterprise

Standardize on Kubernetes

Modernize your data infrastructure using cloud-native technologies such as Kubernetes and Docker. Robin solves the storage and network persistency challenges in Kubernetes to enable provisioning and management of mission-critical ELK deployments. Robin also eliminates the need to manually define and manage individual K8S configuration objects such as PVC, PV, StatefulSets, Services, etc.

No cloud lock-in

Kubernetes-based architecture gives you complete control of your infrastructure. With the multi-cloud portability, you have the freedom to move your workloads across private and public clouds, you avoid vendor lock-in.

Enterprise-grade security and HA

Robin provides encryption at rest out of the box, bringing an extra layer of security. Rack-aware placement rules for Master and Data Nodes ensures your HA setup is production-ready.

Elastic Stack-as-a-Service Solution Brief

Hyperconverged Kubernetes

Hyperconverged Kubernetes

Executive Summary – Hyperconverged Kubernetes White Paper

Kubernetes is the de-facto standard for container orchestration for microservices and applications. However, enterprise adoption of big data and databases using containers and Kubernetes is hindered by multiple challenges such as complexity of persistent storage, network, and application lifecycle management. Kubernetes provides the agility and scale modern enterprises need. Although, it provides the building blocks for infrastructure, not a turnkey solution.

On the other hand, Hyper-converged Infrastructure (HCI) provides a turnkey solution by combining virtualized compute(hypervisor), storage, and network in a single system. It eliminates the complexity of integrating infrastructure components by providing an out of the box solution that runs enterprise applications.

We believe combining Kubernetes and the principles of HCI brings simplicity to Kubernetes and creates a turnkey solution for data-heavy workloads. Hyper-converged Kubernetes technology with built-in enterprise-grade container storage and flexible overlay networking extends Kubernetes’ multi-cloud portability to big data, databases, and AI/ML.

Introducing: Hyper-Converged Kubernetes

What is hyper-convergence? Hyper-converged Infrastructure is a software-defined IT framework that combines compute, storage, and networking in a single system. HCI virtualizes all components of the traditional hardware-defined IT infrastructure. Typically, HCI systems consist of a hypervisor for virtualized computing, a software-defined storage (SDS) component, and a software-defined networking (SDN) component.

Hyper-converged Infrastructure software runs on X-86 based commodity hardware. It provides a complete environment for running enterprise applications, which means IT teams do not have to stitch together various pieces needed to to run the applications. All the required components are provided out of the box.

What is Kubernetes?

Kubernetes (also commonly referred to as K8s) is a container orchestration system that automates lifecycle operations such as deployment, scaling, and management for containerized applications. It was initially developed by Google, and later open-sourced. It is now managed by Cloud Native Computing Foundation (CNCF).

Kubernetes groups containers into logical units called “Pod”s. A pod is a collection of containers that belong together and should run on the same node. Kubernetes provides a Pod-centric management environment. It orchestrates compute, storage, and networking resources for workloads defined as Pods. Kubernetes can be used as a platform for containers, microservices, and private clouds.

Kubernetes for Stateful Applications Running databases, big data and AI/ML workloads in enterprise

Kubernetes for Stateful Applications Running databases, big data and AI/ML workloads in enterprise

Enterprise cloud-native requirements demand a robust platform that can support stateless and stateful workloads along with the necessary performance and SLA guarantees. Robin Hyper-Converged Kubernetes platform is built from the ground up to deploy enterprise applications. With an App-Store model for deploying stateful applications, Robin provides agility to DevOps teams with enterprise-grade performance. Introduction In today’s competitive market, enterprise IT faces an unenviable task of supporting innovation while enabling support for a variety of complex applications. Whether it is new applications with stateless architectures or existing stateful data-intensive applications, IT is expected to be the core part of the innovation team by empowering developers with right abstractions and enabling an agile workflow from developer laptop to production. In order to meet the demands of modern enterprise, IT has embraced cloud-native as the core pillar of their modernization strategy.

Kubernetes is the standard for container orchestration in the cloud-native ecosystem. Kubernetes, developed by Google and now part of Cloud Native Computing Foundation (CNCF), is an open source container orchestration engine used for the deployment, scaling and management of containers. The increase in market demand for Kubernetes is driving the platform as the standard for container orchestration. A vibrant ecosystem has emerged around Kubernetes, increasing the momentum of the project.

In the past two years, more organizations are using Kubernetes in production. According to a recent CNCF survey, 58% of respondents are using Kubernetes in production. This number will increase in the coming years as more enterprises go cloud-native. This trend is further highlighted by the report released by Dice and Indeed.com. Their report claims Kubernetes was the top job searched in 2018 and this trend will grow further in 2019. The advantage of Kubernetes lies in the low operational overhead, easier DevOps and a better abstraction for developers to deploy their applications. Kubernetes supports both on-premises and cloud-based deployments. The support for hybrid/multi-cloud deployments makes Kubernetes attractive for enterprises.

Get the White Paper – Kubernetes for Stateful Workloads

Deliver Big Data and Databases as-a-Service on Kubernetes

  • – Learn how converged, hyperconverged, composable, and integrated platforms work
  • – Understand the benefits and differences of each of these solutions
  • – See these solutions in action, with LIVE demos
  • – Get all your questions answered, in one place

Robin Explainer Video – Robin Hyper-converged Kubernetes Platform in Two Minutes

Robin Systems Videos

What You Need to Know

You need greater efficiency, agility, scalability, and cost-effectiveness from your IT infrastructure. Legacy storage solutions just aren’t cutting it anymore! What many IT Organizations don’t know is that there are many different solutions available to solve these IT challenges!

The one thing that all businesses have in common is that they want and need IT solutions to make their lives easier, more efficient, and more affordable, particularly as digital transformation efforts take center stage. Converged, hyperconverged, composable, and other integrated platforms (collectively, integrated systems) all have the potential to accomplish these goals which can allow the IT organization to focus their efforts more on business outcomes rather than hardware.

These integrated platforms promise to streamline IT operations and reduce costs while allowing you to achieve greater scalability, availability, and agility. Many solutions also allow you to adopt hybrid and multi-cloud architectures and seamlessly operate across private, edge, and public cloud environments to support just about any use case. Some of these solutions can provide dynamic orchestration of resources which allows you to easily provision new workloads with ease.

One of the biggest challenges for IT pros and decision makers is finding a way to quickly educate themselves on all of the available solutions in the integrated systems market. There are serious benefits and differences between the different types of integrated systems and you need to discover which one is right for your company.

We have the answer!

On this single event, you’ll learn about the most innovative solutions all in one place, at one time, and from the comfort of your office or home. Have technical questions about how these solutions work under the hood? Ask away! We have experts available to answer all your questions!

Here’s what you can learn

  • Learn how converged, hyperconverged, composable, and integrated platforms work
  • Learn about the benefits and differences of each of these solutions
  • See these solutions in action, with LIVE demos
  • Get all your questions answered, in one place
  • And, have a chance to win cool prizes too!

Robin Hyperconverged Kubernetes Platform

Oracle-as-a-Service with Kubernetes – Solution Brief

Oracle-as-a-Service with Kubernetes - Solution Brief

Automate your Oracle infrastructure using cloud-native architecture. Improve the agility and efficiency of your Developers, DBAs, and BI teams.

Highlights – Oracle-as-a-Service with Kubernetes

  • Provision Oracle databases, including Oracle RAC clusters, on Kubernetes in minutes
  • Provide self-service experience to improve developer and DBA productivity
  • Clone and share databases and applications among Dev, QA, and Prod teams within minutes
  • Actively synchronize Production and Dev/ Test databases without impacting performance
  • Time-travel to point-in-time application states using snapshots
  • Scale-up/scale-out dynamically in minutes, without interrupting database operations
  • Migrate your customized Oracle databases and EBS applications to cloud without refactoring
  • Consolidate multiple Oracle RAC clusters to reduce hardware and licensing cost

Top 5 Challenges for Oracle-as-a-Service Management

DevOps culture demands faster provisioning and Dev/Test refreshes: Traditional methods of creating IT tickets take weeks to provision new databases or to provide dev/test refreshes of production databases. With release cycles shrinking, developers need much faster turnaround times.

Dynamic scaling to meet sudden demands: If a Database Server runs out of resources, there is no easy way to scale-up the node “on-the-fly” by adding more memory or CPU. Scaling-out Oracle RAC clusters can also take weeks due to process delays.

Massive licensing and hardware costs: Creating dedicated clusters for individual “tenants” (teams, workloads, applications etc.) is required due to challenges with performance isolation. Each cluster is deployed for peak capacity, leading to significant licensing and hardware costs.

Cloud migration: Migrating Oracle databases and customized applications (e.g. EBS) to cloud is not easy. Lift-and-shift is the easier approach but does not bring the benefits of cloud-native architecture, and refactoring applications to make them cloud-native is expensive and time-consuming.

High availability and auto-failover: Oracle RAC licenses and additional hardware is needed for HA, adding to already high costs.

Robin Hyper-converged Kubernetes Platform

Robin Hyper-converged Kubernetes platform extends Kubernetes with built-in storage, networking, and application management to deliver a production-ready solution for Oracle. Robin automates the provisioning and management of Oracle databases so that you can deliver an “oracle-as-a-service” experience with 1-click simplicity to developers, DBAs, and BI teams.

Solution Benefits and Business Impact

Robin brings together the simplicity of hyper-convergence and the agility of Kubernetes.

Deliver Insights Faster

Self-service experience

Robin provides self-service provisioning and management capabilities to developers, DBAs, and BI teams, significantly improving their productivity. It saves valuable time at each stage of the application lifecycle.

Provision databases in minutes

Robin has automated the end-to-end database provisioning process for Oracle, including Oracle RAC. The entire provisioning process is a 1-click operation and takes only a few minutes.

Agile Dev/Test refreshes

You can clone databases with 1-click and share among Development, QA, and Operations teams. Getting a Dev/ Test refresh from a production database only takes a few minutes and is completely self-service. Moreover, the Robin’s copy-on-write cloning method significantly reduces storage requirements. Robin’s unique “TestMaster” utility also keeps Prod and Dev/Test copies in sync without causing any performance impact on Production databases.

Scale on-demand

No need to create IT tickets and wait for days to scale-up Database Servers by adding more memory, CPU, or Storage, or to sale-out by adding more nodes to Oracle RAC. Cut the response time to few minutes with 1-click scale-up and scale-out.

Reduce Costs

Improve hardware utilization

Robin provides performance isolation with min/max IOPS control for guaranteed QoS, and role-based access controls (RBAC) to consolidate multiple Oracle workloads without compromising SLAs, reducing hardware cost.

Reduce licensing costs

Robin uses container technology, providing better performance/CPU and eliminating the VM performance penalty. The ability to scale as you need also means you don’t overprovision CPUs. As a result, you reduce Oracle licensing costs.

Simplify lifecycle operations

Native integration between Kubernetes, storage, network, and application management layer enables 1-click operations to provision, scale, snapshot, clone, backup, migrate for Oracle databases and applications, reducing the administrative cost.

Future-proof your Enterprise

Standardize on Kubernetes

Modernize your data infrastructure using cloud-native technologies such as Kubernetes and Docker. Robin solves the storage and network persistency challenges in Kubernetes to enable its use in the provisioning, management, high availability and fault tolerance of mission-critical Oracle deployments.

Migrate to public cloud

Robin provides easy cloud migration for Oracle databases as well as customized multi-tiered Oracle applications such as EBS. Simply containerize and clone your entire application cluster, including data, and migrate to the public cloud of your choice.

No vendor lock-in

Kubernetes-based architecture gives you complete control of your infrastructure. With the multi-cloud portability, you have the freedom to move your workloads across private and public clouds, you avoid vendor lock-in.

Get Oracle-as-a-Service with Kubernetes – Solution Brief

 

Converged, Hyperconverged (HCI), and Composable Infrastructure EcoCast

Robin Systems Unveils Hyper-converged Kubernetes Platform for Big Data, Databases and AI/ML Applications

Using the unique hyper-converged Kubernetes technology, with built-in enterprise-grade container storage and flexible overlay networking, Robin eliminates these challenges and extends Kubernetes’ multi-cloud portability to big data, databases, and AI/ML.

Robin Explainer Video – Robin Hyper-converged Kubernetes Platform in Two Minutes

Robin Systems Videos

What You Need to Know

You need greater efficiency, agility, scalability, and cost-effectiveness from your IT infrastructure. Legacy storage solutions just aren’t cutting it anymore! What many IT Organizations don’t know is that there are many different solutions available to solve these IT challenges!

Converged, Hyperconverged and Composable infrastructure make your datacenter lean, mean, and easy to manage. Between converged infrastructure and composable infrastructure, you have some seriously effective options at your disposal today.

But, not all converged solutions are created equal.  You need a solution that works with you, not against you, and brings with it serious operational chops.  If converged isn’t your style and you don’t like the way that hyperconvergence scales, composable infrastructure just might fit the bill.  Composable infrastructure provides a data-center-in-a-box solution that is suitable for just about anything you might throw at it.

Join this EcoCast to learn about the latest integrated systems solutions, back to back, from the business value to the architecture!

On This EcoCast Event You’ll Discover

• Learn how converged and hyperconverged infrastructure solutions make the datacenter efficient and scalable
• Find out how composable infrastructure integrates ‘all the things’ — both hardware and software — allowing you to focus on what matters
• Learn how to make sure that all of your data center’s critical assets remain well-protected
• Get answers to all your questions around integrated system from expert presenters!
• See these solutions in action with live demos