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2021 Blog, Blog, Feature Blog, Featured

The year 2020 undoubtedly brought in unprecedented challenges with COVID-19 that required countries, governments, business and people respond in a proactive manner with new normal approaches. Certain businesses managed to respond to the dynamic macro environment with a lot more agility, flexibility and scale. Cloud computing had a dominant effect in helping businesses stay connected and deliver critical solutions. Relevance Lab scaled up its partnership with AWS to align with the new focus areas resulting in a significant increase in coverage of products, specialized solutions and customer impacts in the past 12 months compared to what has been achieved in the past.

AWS launched a number of new global initiatives in 2020 and in response to the business challenges resulting from the COVID-19 pandemic. The following picture describes those initiatives in a nutshell.


Relevance Lab’s Focus areas have been very well aligned
Given the macro environment challenges, Relevance Lab quickly aligned their focus on helping customers deal with the emerging challenges and those areas were very complementary to AWS’ global initiatives and responses listed above.

Relevance Lab’s aligned its AWS solutions & services across four dominant themes and by leveraging RL’s own IP based platforms and deep cloud competencies. The following picture highlights those key initiatives and the native AWS products and services leveraged in the process.


Relevance Lab also made major strides in improving Initiative to progress along AWS Partnership Maturity Levels for Specialized Consulting and Key Product offerings. The following picture highlights the major achievements in 2020 in a nutshell.



AWS Specializations & Spotlights
Relevance Lab is a specialist cloud managed services company with deep expertise in Devops, Service Automation and ITSM integrations. It also has an RLCatalyst Platform built to support Automation across AWS Cloud and ITSM platforms. RLCatalyst family of solutions help in Self-service Cloud portals, IT service monitoring and automation through BOTs. While maintaining multi-sector client base, we are also uniquely focused with existing solutions for Higher Education, Public Sector and Research sector clients.


Spotlight-1: AWS Cloud Portals Solution
Relevance Lab have developed a family of cloud portal solutions on top of our RLCatalyst platform. Cloud Portal solutions aim to simplify AWS consumption using self-service models with emphasis on 1-click provisioning / lifecycle management, dashboard views of budget / cost consumption and modeling personas, roles & responsibilities with a sector context.


A unique feature of the above solutions is that they promote a hybrid model of consumption wherein users can bring their own AWS accounts (consumption accounts) under the framework of our cloud portal solution and benefit from being able to consume AWS for their educational and research needs in an easy self-service model.

The solutions can be consumed as either an Enterprise or as a SaaS license. In addition, the solutions will be made available on AWS Marketplace soon.


Spotlight-2: AWS Security Governance at Scale Framework
The framework and deployment architecture uses AWS Control Tower as the foundational service and other closely aligned and native AWS products and services such as AWS Service Catalog, AWS Security Hub, AWS Budgets, etc. and addresses subject areas such as multi-account management, cost management, security, compliance & governance.

Relevance Lab can assess, design and deploy or migrate to a fully secure AWS environment that lends itself to governance at scale. To encourage clients to adopt this journey, we have launched a 10-10 Program for AWS Security Governance that provides clients with an upfront blueprint of the entire migration or deployment process and end-state architecture so that they can make an informed decision


Spotlight-3: Automated User Onboarding/Offboarding for Enterprises Use Case
Relevance Lab is a unique partner that possesses deep expertise on AWS and ITSM platforms such as ServiceNow, freshservice, JIRA Service Desk, etc. The intersection of these platforms lends itself to relevant use cases for the industry. Relevance Lab has come up with a solution for automated User onboarding & offboarding in an enterprise context. This solution brings together multiple systems in a workflow model to accomplish user onboarding and offboarding tasks for an enterprise. It includes integration across HR systems, AWS Service Catalog and other services, ITSM platforms such as ServiceNow and assisted by Relevance Lab’s RLCatalyst BOTs engine to perform an end-to-end user onboarding/offboarding orchestration in an unassisted manner.


Key Customer Use Cases and Success Stories in 2020
Relevance Lab helped customers across verticals with growing momentum on Cloud adoption in the post COVID-19 situation to rewrite their digital solutions in adopting the new touchless interactions, remote distributed workforces and strong security governance solutions for enabling frictionless business.


AWS Best Practices – Blogs, Campaigns, Technical Write-ups
The following is a collection of knowledge articles and best practices published throughout the year related to our AWS centered solutions & services.

AWS Service Management


AWS Practice Solution Campaigns

AWS Governance at Scale

AWS Workspaces

RLCatalyst Product Details

AWS Infrastructure Automation

AWS E-Learning & Research Workbench Solutions

Cloud Networking Best Practices


Summary
The momentum of Cloud adoption in 2020 is quite likely to continue and grow in the new year 2021. Relevance Lab is a trusted partner in your cloud adoption journey driven by focus on following key specializations:

  • Cloud First Approach for Workload Planning
  • Cloud Governance 360 for using AWS Cloud the Right-Way
  • Automation Led Service Delivery Management with Self Service ITSM and Cloud Portals
  • Driving Frictionless Business and AI-Driven outcomes for Digital Transformation and App Modernization

To learn more about our services and solutions listed above or engage us in consultative discussions for your AWS and other IT service needs, feel free to contact us at marketing@relevancelab.com



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2021 Blog, Blog, command blog, Featured

AWS X-Ray is an application performance service that collects data about requests that your application processes, and provides tools to view, filter, and gain insights into that data to identify issues and opportunities for optimization. It enables a developer to create a service map that displays an application’s architecture. For any traced request to your application, you can see detailed information not only about the request and response, but also about calls that your application makes to downstream AWS resources, microservices, databases and HTTP web APIs. It is compatible with microservices and serverless based applications.

The X-Ray SDK provides

  • Interceptors to add to your code to trace incoming HTTP requests
  • Client handlers to instrument AWS SDK clients that your application uses to call other AWS services
  • An HTTP client to use to instrument calls to other internal and external HTTP web services

The SDK also supports instrumenting calls to SQL databases, automatic AWS SDK client instrumentation, and other features.

Instead of sending trace data directly to X-Ray, the SDK sends JSON segment documents to a daemon process listening for UDP traffic. The X-Ray daemon buffers segments in a queue and uploads them to X-Ray in batches. The daemon is available for Linux, Windows, and macOS, and is included on AWS Elastic Beanstalk and AWS Lambda platforms.

X-Ray uses trace data from the AWS resources that power your cloud applications to generate a detailed service graph. The service graph shows the client, your front-end service, and corresponding backend services to process requests and persist data. Use the service graph to identify bottlenecks, latency spikes, and other issues to solve to improve the performance of your applications.

AWS X-Ray Analytics helps you quickly and easily understand

  • Any latency degradation or increase in error or fault rates
  • The latency experienced by customers in the 50th, 90th, and 95th percentiles
  • The root cause of the issue at hand
  • End users who are impacted, and by how much
  • Comparisons of trends based on different criteria. For example, you could understand if new deployments caused a regression

How AWS X-Ray Works
AWS X-Ray receives data from services as segments. X-Ray groups the segments that have a Common request into traces. X-Ray processes the traces to generate a service map which provides a visual depiction of the application

AWS X-Ray features

  • Simple setup
  • End-to-end tracing
  • AWS Service and Database Integrations
  • Support for Multiple Languages
  • Request Sampling
  • Service map

Benefits of Using AWS X-Ray

Review Request Behaviour
AWS X-Ray traces customers’ requests and accumulates the information generated by the individual resources and services, which makes up your application, granting you an end-to-end view on the actions and performance of your application.

Discover Application Issues
Having AWS X-Ray, you could extract insights about your application performance and finding out root causes. As AWS X-Ray is having tracing features, you can easily follow request paths to diagnose where in your application and what is creating performance issues.

Improve Application Performance
AWS X-Ray’s service maps allow you to see connection between resources and services in your application in actual time. You could simply notice where high latencies are visualizing node, occurring and edge latency distribution for services, and after that, drilling down into the different services and paths having impact on the application performance.

Ready to use with AWS
AWS X-Ray operates with Amazon EC2 Container Service, Amazon EC2, AWS Elastic Beanstalk, and AWS Lambda. You could utilize AWS X-Ray with applications composed in Node.js, Java, and .NET, which are used on these services.

Designed for a Variety of Applications
AWS X-Ray operates for both simple and complicated applications, either in production or in development. With X-Ray, you can simply trace down the requests which are made to the applications that span various AWS Regions, AWS accounts, and Availability Zones.

Why AWS X-Ray?
Developers spend a lot of time searching through application logs, service logs, metrics, and traces to understand performance bottlenecks and to pinpoint their root causes. Correlating this information to identify its impact on end users comes with its own challenges of mining the data and performing analysis. This adds to the triaging time when using a distributed microservices architecture, where the call passes through several microservices. To address these challenges, AWS launched AWS X-Ray Analytics.

X-Ray helps you analyze and debug distributed applications, such as those built using a microservices architecture. Using X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root causes of performance issues and errors. It helps you debug and triage distributed applications wherever those applications are running, whether the architecture is serverless, containers, Amazon EC2, on-premises, or a mixture of all of these.

Relevance Lab is a specialist AWS partner and can help Organizations in implementing the monitoring and observability framework including AWS X-ray to ease the application management and help identify bugs pertaining to complex distributed workflows.

For a demo of the same, please click here

For more details, please feel free to reach out to marketing@relevancelab.com



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