Microservices Management Platform on Kubernetes in your Cloud
Get out-of-the-box, best practice management for your Application Microservices. Go live in minutes with our Low-Code, Self-Service platform. Focus on what matters!
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Building your own DIY Microservices management platform is hard!
The DIY trap
Creating a production-level Microservices 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. A full-featured solution not feasible for small IT teams.
Teams may not have expertise in Microservices architecture, cloud platform tools and services. The learning curve can be challenging, especially in multi-cloud use cases. Projects end up competing for scarce resources.
System architect's must account for latency, and fault tolerance must be planned from the start since multiple services inter-communicate to produce a reliable service response.
Best practice implementation of authentication, authorization, and traffic-flow control between microservices is challenging.
Quota management and rate-limiting are required to reduce bottlenecks and increase reliability for dependent services
Operational success requires fast detection of latency, errors, and failures in functionality that can span dependent services.
snapblocs can spin up your Microservices Management Platform, in minutes
Deployed in your mult-cloud environment
A Microservices management platform can support microservice object development, deployment, management, and production operations.
Teams can focus on the development of Microservice-based applications without spending time on Microservice infrastructure. Spend more time on your core application development work and deliver more innovation faster.
Build scalable distributed, and decoupled applications with Microservices
Microservice architecture is about decomposing a software system into autonomous modules which are independently deployable, maintainable, and testable. These loosely coupled and independently deployable workloads can communicate via a lightweight, language-agnostic way.
snapblocs Microservice+ Platform provides self-service lifecycle management of your microservice workloads on Kubernetes.
Powerful open-source software integrated, and configured:
- Kafka for asynchronous messaging
- Istio for Service Mesh
- Jaeger for visualizing distributed tracing
- Kiali console for managing, visualizing, validating, and troubleshooting Istio Service Mesh
- Helm Chart Configuration for easily loading Microservice object from the Helm Chart repository
- Multi-Node Groups/Pools for grouping Microservices for better isolation and management
- HPA (Horizontal Pod Autoscaler) for automatically scaling the number of pods based on observed CPU utilization.
- Observability for monitoring, logs, system metrics, Application Performance Monitoring (APM)
- Multi-cloud for avoiding cloud provider lock-in
- RBAC security for providing fine-grain access management
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.
Focus on what you do best
snapblocs dpStudio automates Microservices and many other data platforms on Kubernetes,
- Low-Code, lowers skill requirements
- Deliver projects faster, better
- Free up scarce resources
- Focus on your core work
- Less tech debt
Best in class, open-source technology powers our Microservices+ platform
Architected with out-of-the-box best practices, integration, security and automation
snapblocs Microservices Platform includes
The snapblocs Microservice+ Platform has been architected with best practices, proven integration, and best-in-class open-source technologies. It is fully automated and ready to go. Quickly deploy and manage your microservices. It runs on Kubernetes in your cloud.
Amazon EKS - Google GKE - Microsoft AKS
Depending on which cloud provider you use, Amazon's EKS, Google's GKE, or Microsoft's AKS is utilized to provision snapblocs Microservice+ Platform instances into your cloud account.
Kubernetes is an open-source container-orchestration system for automating application deployment, scaling, and management. It is used to deploy selected Components.
Kafka is used for building real-time data pipelines and streaming applications by integrating data from multiple sources and locations into a single, central Event Streaming Platform. Kafka acts as an intermediary enabling enhanced decoupling through asynchronous communication between Microservices.
Elasticsearch provides observability (monitoring, alerting, APM) to answer questions about what's happening inside the system by observing the outside of the system.
Grafana is used to build visualizations and analytics to query, visualize, explore metrics, and set alerts for quickly identifying system problems to minimize disruption to services.
Istio is an open Service Mesh platform. It provides a uniform way to integrate microservices, manage traffic flow across microservices, enforce policies, and aggregate telemetry data. Istio's control plane provides an abstraction layer over the underlying cluster management platform, such as Kubernetes.
Jaeger is a distributed tracing system used for monitoring and troubleshooting microservices-based distributed systems, including Distributed transaction monitoring. Performance and latency optimization.
Kiali is an observability console for Istio with service mesh configuration and validation capabilities. It visualizes the service mesh topology and provides visibility into features like request routing, circuit breakers, request rates, latency, and more. Kiali offers insights about the mesh components at different levels, from abstract Applications to Services and Workloads.
Your microservice is managed as a snapblocs component contained within the stack. Add as many as you need to your stack to get the job done.
Provision and deploy production-grade Microservices along with the snapblocs Microservices Management Platform 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 costs 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.
Microservices use cases
Microservice architecture is about decomposing a software system into autonomous modules which are independently deployable, maintainable, and testable. These loosely coupled and independently deployable can communicate via lightweight, language-agnostic way, and together they fulfill the business goal.
- Offers low coupling due to a high degree of isolation
- It provides higher flexibility
- Failure in one service does not impact the whole system as they are isolated
- It provides higher flexibility
- It provides a very high degree of scalability
- Ease of modification can result in faster evolutionary iterations
- It can facilitate improved error handling
- A higher chance of failure exists during communication between different services
- Difficult to manage a large number of services
- Needs to solve new problems, such as network latency and load balancing, and other issues similar to a distributed architecture
- Complex testing over a distributed environment
- Complex dependency management if number of services is high
Legacy application refactoring and modernization
Enterprises often rebuild their IT systems to change the functionality, add new features, move to the Cloud, or conduct global system modernization. A Microservices Enterprise Architecture enables incremental migration by loosely coupled teams, creating a collection of microservices to replace the existing monolithic applications.
Applications dealing with big data
Big data apps require a complex data pipeline-oriented architecture. Create multiple stages to focus on discrete tasks, such as data collection, processing, delivery, storage, etc. These "loosely coupled" compute stages are an excellent fit for Microservices. AI/ML is one of the best use cases for Microservices Architecture.
Real-time data processing applications
The most common use cases are data streaming platforms like YouTube, SoundCloud, e-banking applications, radar systems, traffic control systems, online booking, etc. (i.e., the applications executing operations in real-time to deliver an immediate output).
Large-scale systems with complex logic
Dramatically growing organizations require the outstanding flexibility and scalability that Microservices Architecture provides. It helps companies quickly find the bottlenecks and address them in a more targeted manner. Moreover, the ability to deploy frequently at the service level enables faster iteration and service level scalability.
snapblocs Dashboards and Observability
Rich dashboards that monitor your services, applications, configurations, and change management.
+ Built-in Elastic Observability = logging, metrics, Application Performance Monitoring (APM)
+ Kiali as an observability console for Istio
The snapblocs Microservices+ Platform includes and provisions Kiali, giving you out-of-the-box access to the Kiali console for managing, visualizing, validating, and troubleshooting the Istio Service Mesh.
The snapblocs Microservices+ Platform includes and provisions Jaeger. The Jaeger dashboard enables visualizing distributed tracing, allowing you to trace the course of a request or transaction as it travels through your monitored applications. Quickly pinpoint bottlenecks, bugs, and other issues that impact your application’s performance.
Istio Service Mesh is included and provisioned with the snapblocs Microservices+ Platform.
Istio manages traffic flows between services, enforces access policies, and aggregates telemetry data without requiring changes to application code. It reduces deployment complexity by transparently layering onto distributed applications.
snapblocs Microservice configuration
snapblocs Low-Code Self-Service UI allows you to quickly configure and iterate on microservice configurations that match your functional and scaling needs. These configurations can be easily cloned and copied ensuring repeatability across instances and environments.
Self-Service Platforms in your cloud in minutes
snapblocs dpStudio incorporates a blueprint solution bloc library which includes the Microservices+ Platform. Click to deploy and scale your Microservices. You can also utilize other snapblocs Data Platform solutions from the library.
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 Kafka 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
snapblocs SaaS based dpStudio supports multi-Cloud
snapblocs dpStudio supports the major cloud providers, including Amazon Web Services, Google Cloud Platform, and Azure.
Leverage our Data Flow Platforms on Kubernetes as an infrastructure abstraction: Configure once and run in any cloud.
Click to deploy, scale at will
Leverage additional snapblocs platforms
We automate production-ready data platforms in your cloud so you can focus on core work.
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.
Start your free Microservices+ Platform on Kubernetes today
In addition, snapblocs lets you deploy many pre-architected solution blocs 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
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