Manage Your Applications on
in your Cloud, in Minutes
Get out-of-the-box, best practice management of your applications on Kubernetes clusters. Production-ready in your cloud. Focus on what matters!
Ready to get started?
Explore snapblocs using your cloud account OR use our free Sandbox environment credit. We make it easy to try!
DIY App management on Kubernetes in the cloud is hard!
The DIY trap
Creating a production-level Kubernetes solution at scale takes a lot of work. What seems like a quick POC can turn into months, becoming a costly distraction. Dashboards and security are often short-changed.
Teams may not have expertise in cloud platform tools and services. The learning curve can be challenging, especially in multi-cloud use cases. Projects end up competing for scarce resources.
Implementing cost optimization for each provider is distinct and monitoring them requires different visualization dashboards for aggregating all enterprise cloud consumption.
IT teams must deal with siloed vendor tools, a lack of consolidated monitoring across cloud environments. For example, the way to scale Kubernetes clusters is different among them.
Due to the lack of standardization and different supporting Kubernetes versions, a managed Kubernetes becomes deeply integrated with other cloud services from the same provider, including storage, networking, monitoring, logging, and load balancing.
Manual management of worker nodes
Cloud providers manage the Kubernetes control plane. However, customers must manage Kubernetes worker nodes, such as bootstrapping worker nodes, multiple node groups/pools, Kubernetes taints, and Kubernetes Metrics Server.
Not easy to upgrade
Upgrading cluster components to newer versions is not fully automatic
Implementing Kubernetes solutions following the recommended well-architecture guideline from each cloud provider is different and complex. Each has its portal, its APIs, and its unique processes for managing its Kubernetes environment.
Manual repair for unhealthy nodes
To allow additional pods to be scheduled on the node or adequately configure the network, you need to manage unhealthy resources manually.
Multi-Cloud is a challenge
Cross-provider operability is a challenge due to vendor-specific implementations and the self-integration of their other services. Aggregate management and monitoring remain fractured solutions.
Spend more time developing your containerized applications and less time building Kubernetes infrastructure.
Provision and deploy your containerized applications on production-grade Kubernetes clusters in minutes with snapblocs dpStudio SaaS UI.
snapblocs dashboards and observability
Rich dashboards that monitor your services, applications, configurations, and change management.
+ Built-in Elasticsearch for Observability = logging, metrics, Application Performance Monitoring (APM)
+ Kibana as an data visualization tool
Focus on what you do best
snapblocs dpStudio automates many data platforms, including our Kubernetes+ platform via our blueprint solution bloc library.
- Low-Code, lowers skill requirements
- Deliver projects faster, better
- Free up scarce resources
- Focus on your core work
- Less tech debt
snapblocs automates architecture
snapblocs automates based on the "well-architected" guides such as "AWS Well-Architected for AWS" and Google "Cloud Architecture Framework." for the provisioning and configuring of production-grade Kubernetes clusters and workload deployment into the clusters.
Realize the benefits of snapblocs and Kubernetes for your Containerized Applications
snapblocs Kubernetes+ Platform enables you to deploy and manage your Kubernetes cluster quickly and easily in your cloud environment. Utilize the Low-Code Self-Service UI, dashboards, and observability features.
You can deploy and scale your applications quickly and easily on a well-managed Kubernetes+ Platform. Don't waste time building your tools; spend your time building your applications.
Namespaces for team separation
Achieve team-level isolation concurrently accessing the same cluster resources. Namespaces create multiple logical clusters from a single Kubernetes cluster making efficient use of resources.
Set Resource Requests & Limits
Set Resource Requests & Limits to avoid cases where applications drain all the cluster resources, specifically CPU and Memory. The efficient resource usage by applications and services helps avoid capacity downtime.
Use readinessProbe & livenessProbe
Kubernetes Check Probes proactively avoids pod failures. These features ensure the application is ready to start serving traffic before allowing traffic to a pod. Applications remain responsive and running as intended by performing a health check. If the liveness probe fails, Kubeletes default policy restarts the container to bring it back up.
Leverage Kubernetes’ Autoscaling mechanisms to automatically scale cluster services with a surge in resource consumption. With a Horizontal Pod Autoscaler and a Cluster Autoscaler, node and pod volumes get adjusted dynamically in real-time, thereby maintaining load to the optimum level and avoiding capacity downtimes.
Terminate Pods with Grace
Make sure the application handles terminations gracefully for creating a stable system and providing a great user experience.
Cloud-Managed SSL Certificates
Integrate cloud-managed SSL certificates with the external load balancer(s), ensuring that client-server communication is always encrypted.
Kubernetes Ingress Controller
Expose multiple HTTP services outside the Kubernetes cluster for cost optimization and reduce the number of load balancers within the cluster.
Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services. Kubernetes provides the ability to automate application provisioning and scaling required by the application's workload.
Agile application lifecycle
Agile application lifecycle: Increase ease and efficiency in continuous development, integration, and deployment compared to other implementations such as physical servers or VM images.
Decouple applications from infrastructure
Dev creates application container images at build time, and Ops builds and manages infrastructure.
Provide OS-level information and metrics as well as application health and other signals.
Build once, deploy anywhere across development, testing, and production. It reduces time and effort by deploying the same applications from a laptop to the cloud.
Horizontal Pod Autoscale
Optimize resource usage and costs by automatically scaling a cluster up and down with demand.
Isolate groups of resources within a single cluster to increase security and predictable application performance.
Avoid vendor lock-in as a fully open-source, community-led project overseen by the CNCF.
With the snapblocs Kubernetes+ Platform, your provision and deploy production-grade Kubernetes clusters in minutes with snapblocs dpStudio SaaS UI. Developers get easy self-service provisioning while Operations teams get centralized control, security and monitoring.
Self-service, provisioning, low-code, iterate quickly
Self-Service enables DevOps to automate provisioning using dpStudio, and eliminate any hand coding.
- Provide portability across multiple cloud providers.
- The low-code approach eliminates the need for any code/template writing with Vagrant, Packer, Terraform, etc.
- Manage multiple clusters through dpStudio with a pre-built-in observability
Robust RBAC and security
The permission mechanism in snapblocs uses Role-based access control (RBAC) for restricting SaaS application features based on the roles of individual members within your dpStudio account.
Full lifecycle management including pause, clone
Pause and Resume
- Save computing cost by terminating all EC2 instances
- Save effort and time by resuming a paused stack instead of rebuilding a stack from scratch and reloading business applications and data
- Protect data by terminating applications when not in use
Clone and Move
- With a build once, deploy anywhere approach, clone a stack is significantly more efficient, ensuring consistent configurations from development to production.
- Cloning enables the reuse of the same skillsets for development and operations no matter where the stack is built and deployed.
- Spend more time developing your crucial business applications vs. replicating platform infrastructure and troubleshooting.
- Significantly reduce errors when promoting applications from lower to upper environments, through templated deployment, using the clone or move features within snapblocs.
Built-in observability and dashboards
By default, built-in observability provides pre-configured monitoring of the runtime behavior of the Kubernetes cluster. snapblocs uses Prometheus and Elastic Observability for logging, metrics, application performance monitoring (APM).
Built-in cost estimator tool and cost management
The estimate monthly cost for cloud resources before deploying the stack eliminates the budget surprise.
UI control for Cluster Autoscaler
dpStudio provides the UI control for the Cluster Autoscaler for automatically adjusting the number of nodes in Kubernetes cluster when pods fail or are rescheduled onto other nodes.
A NGINX Ingress Controller is installed by default without a manual installation so that Ingress controller abstracts away the complexity of Kubernetes application traffic routing and provides a bridge between Kubernetes services and external ones.
snapblocs Kubernetes+ Platform combines multiple best-in-class open-source technologies as ready-to-go solution-blocs with out-of-the-box configuration and integration. Customization can be done quickly, without coding.
Amazon EKS - Google GKE - Microsoft AKS
snapblocs utilizes Amazon's EKS, Google's GKE, or Microsoft's AKS. You can provision and configure production-grade Kubernetes clusters and deploy workloads into the clusters within your cloud account. snapblocs' abstraction model and advanced abstraction model works consistently across all three vendors.
Kubernetes is an open-source container-orchestration system for automating application deployment, scaling, and management. It is used to deploy selected Components.
- Self-Service enables DevOps to automate provisioning and management using dpStudio, eliminating hand-coding
- Provide portability across multiple cloud providers
- No need for Vagrant, Packer, Terraform
- Full lifecycle management: start, update, terminate, pause, resume, clone, move, etc.
- Built-in observability with Elastic Observability for logging, metrics, APM, and Prometheus pre-configured by default for monitoring runtime behavior of the Kubernetes cluster
- Cost Estimator
- Cluster Autoscaler
- Ingress enabled
Elastic is the monitoring framework that provides the observability needed for answering questions about what's happening inside your system. You can monitor, alert, and even do application performance monitoring with Elastic.
Grafana is open-source software that makes it easy to create visualizations and analytics for your infrastructure. It lets you quickly identify system problems, debug issues, and minimize disruption to services.
Get more done!
Leverage a self-service, ready to go, Kubernetes container-orchestration solution for automating your containerized application deployment, management, and scaling. Don't spend time on the plumbing. Spend your time on what matters!
For rapid growth organizations
The agility to scale efficiently makes Kubernetes applications essential in rapidly growing organizations. The Kubernetes infrastructure makes it easier to identify scaling bottlenecks and resolve them at a per-service level.
Migrate legacy applications to Kubernetes
Modernize Legacy applications by porting them to the Kubernetes platform. A container-based architecture, orchestrated with Kubernetes, improves application reliability and scalability while decreasing developer and operations overhead.
Extend legacy application functionalities
Use a Kubernetes platform to add new functionality to an existing extensive legacy system. The desired new business functionality can be created as one or more Kubernetes applications to replace or augment portions of the legacy system.
Build web apps
Deploy your web applications with snapblocs Kubernetes+. Scale easier, benefit from higher availability, and lower costs. Kubernetes+ also makes it easier to release new applications quickly allowing your to iterate faster.
Make workloads portable
Because container apps are separate from infrastructure, apps become portable when running on Kubernetes. Move them from local machines to production among on-premises, hybrid, and multiple Cloud environments while maintaining consistency across environments.
Scale containers easily
Define complex containerized applications and deploy them across a cluster of servers or even multiple clusters with Kubernetes. As Kubernetes scales applications according to the desired state, it automatically monitors and maintains container health.
Build more extensible apps
A sizeable open-source community of developers and companies actively build extensions and plugins that add security, monitoring, and management capabilities to Kubernetes.
snapblocs Kubernetes+ compared
snapblocs’ Kubernetes+ platform delivers complete functional data solutions for our customers. We provide operational tooling and enablement and well-designed architecture out of the box.
|Key Functionality||Other Kubernetes Platforms||snapblocs Kubernetes Platform|
|Pause, resume, clone, and move stack||No||Yes|
|Observability||Y (K8S only)||Y+ (K8S + Components)|
|Add your own components||Manual||Self-service UI|
|Platform blueprints (complete solution stacks)||No||Yes|
|Integrate open source components||Manual / Custom||Platform blueprints & UI|
|Component configuration||Manual||UI or Manual|
Low-Code, Self-Service configuration of your application components
Deploy your application as a component. The snapblocs UI makes it easy to configure, manage and optimize your application deployment.
The snapblocs Kuberenetes+ Platform includes Elasticsearch, which can be used for a wide range of use cases. It's an excellent tool for full-text search, log analytics, security intelligence, and business analytics! This distributed search and analytics engine is built on Apache Lucene.
snapblocs provides everything you need to start utilizing Elasticsearch data. The snapblocs Kuberenetes+ Platform includes and provisions Kibana, which is an open-source user interface for visualizing your Elasticsearch data and navigating the Elastic Stack. It can be used for log and time-series analytics, application monitoring, and operational intelligence use cases and more.
snapblocs Architecture-as-a-Service delivers instant value
Day 2 level operations out of the box
- High availability
- Data protection
- Data security
- Configurable alerts
- Health checks
- Cost optimization
- Easy debugging of topic data
- Easy overriding of Kafka parameters
- Scaling on demand
- Graceful shutdown
- Pause, Resume cluster without data loss
Get instant Day-2 Level Operations
Self-service fully automated Kubernetes clusters deployed in your cloud environment. Click to deploy, scale at will.
- Self-service for DevOps and agile teams
- Automated Day-2 operational Kafka clusters
- Best practice security, dashboards
- Configure, deploy, manage and monitor
- Pause, resume, clone, scale
- Built-in observability
Leverage additional snapblocs platforms
snapblocs offers a pre-fab blueprint library that combines multiple best-in-class open-source technologies into ready-to-go solution-blocs on Kubernetes
- Data Platforms for Moving, Ingesting, Transforming, Processing, Storing, Analyzing, and Presenting data.
- PLUS, Development Platforms for Kubernetes and Microservices.
snapblocs makes it easy to Deploy and Manage Data Platform stacks
How to deploy a stack
This video will explores Component Configuration, Stack Deployment and Stack Teardown.
How to manage the lifecycle of a stack
This video demonstraights Pausing, Resuming, Cloning and Moving stacks.
Multi-Cloud - Click to deploy
Companies today typically have 2.6 public clouds in actual use, and 92% of companies have chosen multi-cloud. snapblocs makes it easy to abstract the management and cost optimization for your Kubernetes clusters among multi-cloud providers
snapblocs dpStudio supports the major cloud providers, including Amazon Web Services, Google Cloud Platform, and Azure.
Leverage our Kubernetes+ Platform as an infrastructure abstraction: Configure once and run in multiple clouds.
Start your free Kubernetes+ Platform today
Deploy a Kubernetes+ Platform and many other data platforms using the snapblocs blueprint library.
Our Help Center has the resources you need to learn about dpStudio.
Access the dpStudio Help Center
Tutorials and How-to-Videos show how dpStudio and our blueprint library can reduce your development cycle.
View the dpStudio Videos
Schedule a mtg to talk about professional services or book your free interactive demo of dpStudio.
Got questions? Our team is here to help.