Global Financial Services Leader Modernizes Big Data on Robin
Migrating from Cloud to Cloud-Native; Accelerating your ELK deployment; Modernize Your Financial Stack
April 2020: Robin.io Newsletter
Migrating from Cloud to Cloud-Native; Accelerating your ELK deployment; Modernize Your Financial Stack
In this issue:
- [Intellyx Analyst Brief] Migrating from Cloud to Cloud-Native
- [White Paper] Unlocking the Full Potential of Your ELK Stack on Kubernetes
- [Blog] App Modernization is an Imperative for Financial Services
March 2020: Robin.io Newsletter
With over 12 million customers and $125 billion in assets under management, this Fortune 500 financial services organization is America’s leading homeowner and auto insurance company.
In this issue:
- Forcing Functions: Economic Uncertainty and Infrastructure Modernization
- Wasted Cloud Spend to Exceed $17.6 Billion in 2020
- Modernize Your ELK Stack
- Application and Infrastructure
- Topology Awareness
Global Fortune 500 Financial Services Leader Gains Efficiency and Agility on Robin
With over 12 million customers and $125 billion in assets under management, this Fortune 500 financial services organization is America’s leading homeowner and auto insurance company.
Offering a full range of financial products and services to its constituents, this company uses technology platforms and solutions to enable its customers to access the services any way they like, including by telephone, Internet, mail, fax, any bank’s ATM machines, and their own mobile devices. To provide this level of access and flexibility, the company maintains an IT Infrastructure that processes petabytes of data, and has moved its data center architecture from hardware-defined to software-defined in order to increase business agility.
This financial company processes billions of security events each day and leverages the Elasticsearch, Logstash, and Kibana (ELK) stack for event aggregation, monitoring, and visualization for cybersecurity threat detection. The company also operates an IBM Db2 data warehouse for business analytics and a Kafka cluster for stream processing.
Elastic – Dynamic Scaling with Robin Hyperconverged Kubernetes Platform |Video Demo
Deliver Elastic as-a-Service with Kubernetes
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.
Dynamic scaling to meet sudden demands
If a Data Node runs out of resources, end users can simply scale up by adding more CPU/RAM, no need for IT tickets. Adding more Data Nodes to existing ELK cluster is also a simple 1-click operation.
Elastic – Deploy ELK Clusters with Robin Hyperconverged Kubernetes Platform
Elastic – Deploy ELK Clusters with Robin Platform
Deliver ELK (Elastic, Kibana, Logstash) Stack-as-a-service
Turbocharge your DevOps productivity with Elastic Stack on Kubernetes. Improve the agility and efficiency of your Developers, Operation teams, and Data Scientists.
Self-service experience
Robin provides self-service provisioning and management capabilities to developers, operations teams, and data scientists, significantly improving their productivity.
Provision custom Elastic 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.
Consolidate ELK clusters with Robin Hyperconverged Kubernetes Platform
Deliver Elastic as-a-Service with Kubernetes
Improve hardware utilization
Robin provides performance isolation and RBAC to consolidate multiple ELK workloads without compromising SLAs and QoS.
Get more out of your hardware
Consolidate multiple ELK workloads and ensuring data locality for Data Nodes for better performance reduces hardware footprint. Also, 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.
White Paper – Elastic Stack as a Service on Kubernetes
Elastic as a Service on Kubernetes White Paper
- 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
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.