Posts By :

Nyshitha Thota


Microservices brings the goal of agility in sight but becomes a testing bottleneck, if not approached in a right way. Microservices dependencies can further elongate the testing cycle, so how do you fix them? We have the answers. microservices softwaretesting

The Evolution of ‘Testing’

Over the last few decades, the art and craft of Software Development have followed the Darwinian principles of Evolution. From being an activity to ‘check if the software works’, to ‘find out when it doesn’t work’ to the current thinking of ‘anticipate failures and prevent them’, Testing has grown in importance within the lifecycle of software application development. Testers are no longer people who simply click buttons on a screen, but write frameworks, test scaffolds, code automated tasks, setup and manage environments and do everything that is traditionally associated with Developers and Technical staff.

Quality Engineering is the new mantra, where QA teams work side-by-side with developers in the trenches, engineering quality into the product from the start, preventing many defects from occurring and being detected. If you would like to move to this level of maturity, get in touch with us and we’ll set up some time for you with our experts to see how we can help you.

Give eyes to your SDLC

With the ever-increasing complexity of the modern applications, it is now important to keep an eye on all aspects of the Software and Infrastructure to achieve greater agility, availability, and quality to take immediate action based on exceptions. In other words, Continuous Monitoring using an Integrated Dashboard is becoming a critical aspect of DevOps. But what to monitor and how? Can Automation be any help? Build or Buy? If so, how to find the right SaaS vendor? Read on to find out.

“DevOps is around only for about a decade but Monitoring SDLC goes back a longer time than that. We don’t have to reinvent the wheel and learn how to monitor the life cycle. We just need to find the right workflow that fits your business so you don’t overlook monitoring the important features which will often lead to unforeseen and unpleasant surprises down the lane.”

What To Monitor?

Today, nearly everything across the SDLC can be monitored and reported with the help of a Monitoring strategy, a little perspective and a lot of tools that are already available in the market. Let’s look at the major aspects that need to be monitored to stay informed well enough to stay alert, plan well, perform better, react faster and fix issues proactively.

Planning : Continuous Planning is where it all starts – after all, this isn’t a one-time task anymore when Continuous Delivery is the agenda. So, just like every other activity and asset of a project, Planning must be monitored too. Today, planning inputs come from user opinions, complaints and requests, competitive analysis, product vision and even operational insights. The ultimate goal of DevOps or any other IT methodology is to deliver Business Value.

What to measure?

Planned Value (PV) – Estimated cost of project activities planned/scheduled as of reporting date.

Sprint Goal Success Rate – Measuring Average number of sprints that met the goal in a defined time

Agile Velocity – Number of user stories completed by the team, on average, in previous sprints

Sprint Burndown – Number of hours remaining to complete the stories planned for the current sprint

Available Tools


Development Milestones : Development is a phase that involves the actual built of the software, writing code, designing infrastructure, implying possible automation efforts, defining test process, security implementation and preparation for deployment. Evidence is the most important part of this phase and adopting the right strategy and tools would make it achievable. As frequent code changing became the new normal, an efficient Code Manager can help developer store the code to make it re-usable, versioning, managing environments, and modules. Detailed development and defects statuses can be tracked through an Application Lifecycle Management (ALM) tool. There are various Continuous Integration (CI) tools available to monitor the build job and pipeline.

What to measure?

Cycle Time – The time taken for a task to go from ‘started’ / ‘in progress’ to ‘done’

Code Coverage – The percentage of code covered by unit tests

Cumulative Flow – The status of tasks in a sprint or release to visualize bottlenecks in the process

Time to Market – The time a project takes to start serving or providing value to the users

Release Frequency – The rate of official releases being deployed to production

Available Tools


Infrastructure Every IT department thrives on a reliable, highly-performance and secured infra set-up for smoother operations. Considering the need of having 99%+ System Availability, businesses need to invest in real-time as well as proactive infrastructure monitoring solutions. As the organization grows, and the operations are spread over Virtual, On-premise and Cloud Infrastructure; there is stress on the system availability, maximizing uptime and reducing errors.

What to measure?

MTTR & MTTF – To estimate the uptime of systems

Infrastructure Stability – Percentage of reduction in the number of major incidents

Velocity – To evaluate Throughput and Bandwidth

Available Tools

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Application Log Output Having a system to monitor this fundamental part of the application can help administrators and security professionals to collect, analyze, and correlate the log data and provide actionable insights to the management teams. Application logs are Informational events which can form data that can help identifying abnormal user activities, troubleshoot abrupt application crunches, and detect security risks.

What to measure?

Average Response Time – the amount of time Application Server takes to provide the results requested by the user.

Error Rates – Identifying how often an application is exposed to Bugs and Production issues.

Count of Application Instances – To analyse the in-demand and off-peak times.

Request Rate – Understanding the traffic of the application

Available Tools

Application Performance All the greatest code, tools and frameworks in the world are not going to help if the user is unable to use the application as expected. It’s important to have a system that can quickly identify when a problem arises and find out the root cause of the glitch and fix it immediately. That can be done only when the response time for various requests, CPU, network, memory usage etc. are monitored regularly.

What to measure?

Availability – Operational and Functional usability of an application to fulfill user requirement.

Requests per second – The throughput handled by a system

Response Time – The time taken by a system to react to a given input.

Available Tools

Quality Assurance : customers value bug-free software with fewer or no post-deployment dependencies after being delivered. Plus, with DevOps practices, there is really no need to sacrifice quality for speed anymore. Measuring the QA efforts through result as well as predictive metrics is important not only to improve the software testing frameworks but also to have a deeper and better understanding of the end product quality.

What to measure?

Performance (Response Time) – measuring the time application takes to respond to a given request

Automation Test failure rate – frequency of failures during automated testing

Application Quality Index – calculating and reporting the stability of an application under testing

Available Tools

Vulnerabilities The list of dependencies for modern application is increasing day by day, so is the list of potential security threats. The Vulnerabilities that come as part of the package with third-party systems needs to be monitored. But the ones that evolve due to poor coding and development practices need to be identified and prevented as quick as possible. Mapping the complete application dependency tree, constantly monitoring the source code, test, production and pre-production environments, having a proactive monitoring system with alerts enabled can help.

What to measure?

CVSS Score – Capturing the principal characteristics of vulnerabilities and their severity.

Coverage – A qualitative view in culling the asset’s data and scope of scanning practices.

Dwell time – Time that a known vulnerability exists in the user environment

MTTD – Time taken to detect a vulnerability in the system.

Error rates – The fact of life for applications to track Bugs and production issues.

Available Tools

Now that you have all the major aspects under monitoring with the help of these tools, how to make sense of all this monitoring data? Whenever there are multiple tools at work, the only way to collaborate them is to have an aggregator. But,

Dashboards – Build or Buy?

Well, that’s always a tough decision to take, isn’t it? Well, it’s not impossible to build the ultimate DevOps Monitoring Dashboard. Whether to purchase a pre-built tool or to build your own solution, these are what you need to look for:

  • The range of tools supported – Through Plug-ins and Data Collectors
  • Ability to customize data fields for data collection
  • Powerful UI for data representation and customization of fields & views
  • Range of metrics supported to represent the business KPIs
  • Ease of installation and configuration A.K.A Usability
  • Ongoing Maintenance


Make a list of the Tools and Activities to monitor and identify the Metrics for each tool. Not just from development but cover the tools from all the areas of DevOps like code building, repositories, quality assurance, testing, deployment, and feedback to get the full picture. Now, correlate these metrics with the desired business value to define KPIs. This way, the monitoring console shall report all the aspects and demonstrate the current status and gaps. Well, having a well-designed dashboard is nearly useless if there is no data flowing into it, isn’t it? As the metrics are defined, the next step is to identify the right API or command-line interface to fetch the data.

Wait, we’ve already done all the messy work have a solution that is ready-to-implement (well… right after defining metrics to suit your business needs) and we call it TED – The Engineering Dashboard. TED is a machine-learning engine driven by Artificial Intelligence built on Big Data architecture and that gives you the much-needed single source of truth. TED is built to aggregate the data from all the tools through a custom-built API set that integrates into nearly all the tools within DevOps pipeline. Once the data is gathered and ready-to-use, the correlation algorithm starts its job, bringing the UI charts and dashboards to life for the consumption by Engineers, Chief Executives or anyone in between.

Any specific question about DevOps Monitoring, the tool or TED? Write us:

Managing the Multi-Cloud: A Review of the new Kids on the Block

As the number and complexity of applications being deployed on the cloud grows, organizations are finding that a single cloud is not sufficient to address all of their needs, such as tech stack, Platform as a Service (PaaS) components, workloads, data management, compliance across regions, performance, and security. Enter the Multi-cloud Strategy: where different applications can be hosted on different clouds but use common interfaces to integrate them.

Sounds complicated? Yes, since applications can quickly outgrow their platforms and any deep ties to one platform can make it difficult to migrate. Then there is the challenge of managing application and infrastructure resources and costs across multiple providers – each with their Resourcing models and Pricing plans that can be difficult to compare.

But Enterprises have no choice – according to a survey late 2018 by RightScale, close to 80% of Enterprises are adopting a multi-cloud strategy, albeit due to different reasons.

How then do you manage your application portfolio distributed across different cloud entities? Where there is a need, there is a Business!

Cloud Management Platforms (CMPs) are the answer. They have been around for half a decade, but support for different clouds has been difficult. But with rising cloud adoption, these CMPs have become critical components.

In this post, we compare different Cloud Management Platforms, their capabilities and pricing tiers, where available.

Let’s define the terms used, so that we have a common understanding

Multi-Cloud is a strategy of using multiple public cloud service providers such as AWS, Azure, Google Cloud Platform, OpenStack etc. for managing multiple applications or different aspects of a single application, including on-premise infrastructure. Hybrid Cloud, on the other hand, involves a mix of on-premises, private cloud and public cloud services with integration between at least two platforms.  Hybrid Clouds are Multi-Cloud but not all Multi-Cloud are Hybrid Cloud. With both of them, challenges of managing costs, uniform governance policies, allocation and charging back, dependencies on IT teams for provisioning are common.

Rise of Multi-Cloud

As per 451 Research survey, 69% of organizations are planning to run a Multi-Cloud environment by 2019. As they said, “the future of IT is multi-cloud and hybrid” – but with this rise, cloud spending optimization and management also become more of a challenge.

Research firm IDC has predicted that 90 percent of enterprises will use multiple cloud services and platforms by 2020. The Multi-Cloud enthusiasm also comes with some speed bumps along the way regarding Orchestration and rising Cloud Costs, less visibility of Cloud Spends, allocation and chargebacks, Governance and Compliance, Provisioning of different service providers. But, at the same time help is on the way with the rapidly emerging options of Cloud Management Platforms.

Comparison of Cloud Management Platforms

Businesses vary in their challenges around Cloud Management. Selecting a right Cloud Management Platform requires laser focused approach to match challenges and features of platform. We picked up eight midsized vendors ($7.5 million to $30 million in revenue) in Cloud Management Space to draw a comparison among all of them.

  1. BMC Cloud Lifecycle Management: BMC Cloud Lifecycle Management replaces the existing IT landscape with self-service IT infrastructure for cloud and non-cloud platforms. The cloud management platform supports highly complex, large-scale IT initiatives that involve Self-service portal, Full-Stack service provisioning, Automated ITSM governance, Continuous compliance and Service health management. BMC’s advantages include support for leading cloud service providers to avoid vendor-lock in, cost-savings with unified view of all cloud resources and automating compliance to reduce risks across heterogenous IT environment.

When to pick – BMC is a good pick for large organizations having significant IT needs and investments and where one cloud service provider will not suffice their needs. These organizations have diverse needs leading to continuous rise in cloud usage and IT teams are already pressed with speed required to deliver it. BMC’s Cloud Lifecycle Management fulfils the need of continuous delivery of IT services, while maintaining control, improving security, and optimizing cost.

Clouds supported: OpenStack, AWS, Azure, Rackspace, SoftLayer
Pricing: Upon request

2. RightScale: RightScale is another popular platform in the Cloud Management space. RightScale claims to optimize cloud costs by auto-scaling and automated scheduling of workloads, leveraging discounts from cloud providers, and automated downsizing of instances based on usage. It offers a comprehensive solution for enforcing Self-Service IT by Governance and Compliance automation, maintain consistent and secure configurations and ensuring repeatable and standardized architecture across Multi-Cloud environments.

When to pick – RightScale is a great choice for organizations utilizing multiple clouds for running their applications, workloads, disaster recovery etc. As per the RightScale 2019 State of the Cloud report from Flexera, respondents are already running applications in a combination of 3.4 public and private clouds and experimenting with 1.5 more for a total of 4.9 clouds. The advantage with RightScale is their strong capability of providing unified view around multiple public and private cloud resources including compute, network, and storage with a single pane of glass. The dashboard provides actionable information to reduce costs, improve infrastructure efficiency, and close security holes.

Clouds supported: OpenStack, AWS, Google Cloud Platform, IBM, Azure, Rackspace, VMware
Pricing Details: Upon Request
Free Trial: Yes
Deployment: Cloud, SaaS, Web
Training: Documentation, Webinars, Live Online, In Person
Support: 24/7 (Live Rep)

3. Scalr: Scalr Enterprise-Grade Cloud Management Platform enables enterprises to achieve cost effective, automated and standardized application deployments across Multi-Cloud environments. Scalr uses a hierarchical, top-down approach to policy enforcement empowering administrators to find the balance between the needs of Finance, Security, IT and Development teams. Leading global organizations have selected the Scalr platform, including Samsung, Expedia, NASA JPL, Gannett and Food & Drug Administration.

When to pick – Scalr is a multipurpose suite and provide benefits in four areas of Cost Optimization and Visibility, Governance, Security, and Compliance, Business Agility and Increased Productivity. Scalr is a recommended choice for organizations struggling to implement standardize policies in Multi-Cloud Environment. Scalr’s Policy Engine creates re-usable guardrails around Access, Workload Placement, Application Lifecycle, Integrations, and Finance.

Clouds supported: OpenStack, AWS, Azure, Google Cloud Platform, Rackspace, Eucalyptus,Nebula
Free Demo: Yes
Deployment: Cloud, SaaS, Web, Installed – Mac, Windows
Training: Documentation, Webinars, In Person
Support: Online, Business Hours, 24/7 (Live Rep)

4. CloudCheckr: CloudCheckr is a comprehensive cloud management solution, helping businesses manage and automate cost as well as security for their public cloud environments. We are an AWS Advanced Technology Partner with Security and Government competencies, as well as a certified Silver Partner with Azure, to support multi- or hybrid-cloud strategies.

When to pick – CloudCheckr’s platform focuses on cost optimization to a huge extent, so if you are looking for cloud costs optimization, CloudCheckr can be a suitable choice. CloudCheckr has in-built Predictive Analytics for forecasting future cloud spend and recommendation engine to eliminate unnecessary cloud wastages.

Clouds Supported: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud
Starting Price: $499.00/month, Includes all Cost, Security, and Compliance modules.
Free Version: Yes          
Free Trial: Yes   
Deployment: Cloud, SaaS, Web
Training: Documentation, Webinars, Live Online, In Person
Support: Online, Business Hours, 24/7 (Live Rep)

5. Cloudability: In the world full of Cloud Management solutions, this platform talks about bridging the gap between IT, business and finance together to achieve accountability for the cloud spend. Apart from Cloud Cost being their key differentiator, Cloudability offers Governance and Migration solutions for top cloud service providers.

When to pick – Cloudability is a good pick for organizations looking to control their cloud costs and have their financial teams to support in their goal with unit economics of cloud for competitive advantage. Cloudability focuses on cost optimization, adoption and democratization of cloud spend to translate cloud bills to different business units.

Clouds Supported: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud
Starting Price: $499.00/month, Includes all Cost, Security, and Compliance modules.
Free Version: Yes          
Free Trial: Yes   
Deployment: Cloud, SaaS, Web
Training: Documentation, Webinars, Live Online, In Person
Support: Online, Business Hours, 24/7 (Live Rep)

6. Apptio: Apptio is another acclaimed vendor in the Cloud Management Platform MarketFor most companies, cloud initiative is a complex landscape–with CIOs, Finance, Operations, Infrastructure, and Security teams consuming their share of cloud applications and resources and restrict the ability to optimize cloud spend by trimming the wastages. Apptio targets cloud challenges and their solutions based on various roles and specific problems they deal in cloud usage. Apptio talks about offering solutions to cloud challenges based on the role like CIOs, CFOs, Infrastructure and Operations and other cloud initiatives like DevOps and Agile, Corporate Shared Services, Digital Business and Service Transformation.

When to pick – Apptio is a suitable choice for organizations or IT leaders looking to highlight the financial value of IT departments. Apptio claims to be one of its kind Technology Business Management (TBM) tool to provide the visibility about costs, budgeting and forecasting. Apptio offers Apptio Cost Transparency to align costs automatically to peer infrastructure benchmarks and IT Planning to align IT budgeting and forecasting to business strategy.

Clouds Supported: AWS, Azure, GCP
Pricing Details: Upon Request
Deployment: Cloud, SaaS, Web

7. Embotics: Embotics is a new age Cloud Management Platform providing solutions for adoption of DevOps, Microservices, Continuous QA, Kubernetes Version Management, Integrated Cloud Governance and Cloud Expense Management across all these initiatives. With the conventional solutions of providing cloud usage visibility, uniform governance policies and self-service IT infrastructure, Embotics seems to be an all-in-one solution for organizations to navigate in their cloud journey.

When to pick – Organizations confused about picking cloud management platform based on their business initiatives of Digital Transformation, DevOps, Microservices, Containers, IT Modernization should consider Embotics. Embotics talk about the bigger picture of cloud management space and target its solutions to new-age technologies like DevOps automation, Microservices and Containers, while continue to manage traditional workloads, IaaS, and development and support methodologies. Embotics provides use-cases about each of these practices that help businesses to deliver modern features, services and solutions faster than ever before with high quality standards and consistent user experience.

Free Trial: Yes
Deployment: Cloud, SaaS, Web
Training: Documentation, Webinars, Live Online, In Person
Support: Business Hours

8. Accenture Cloud Management Platform: Accenture Cloud Management Platform boasts of the patented innovation and Accenture IP built into the solution for cloud resource visibility, management consistency, and operations control, that can be scaled as per the needs of global organizations. Accenture’s Cloud Management Platform presents concrete numbers in terms of cloud management efficiency, cloud migration, saving costs and deployment of SAP, Oracle and DevOps instances.

When to pick – Accenture’s Cloud Management Platform has a rich legacy of Accenture cloud capabilities and project implementations. Accenture Cloud Management platform is a right pick for organizations working towards leading technologies like next-generation mobility, advanced analytics, Internet of Things (IoT), cognitive technologies, blockchain, APIs/microservices, and natural language interfaces. The global organizations struggling with scalable, secure and compliant solutions should implement Accenture’s Cloud Management Platform.

Deployment: Hybrid Cloud
Support: Phone, Web Chat, Live Training, Email and Online Ticketing

Conclusion :

Cloud adoption and specifically, multi-cloud adoption is here to stay and while challenging and expensive, Enterprises need to manage them properly to give their customers, IT staff and internal Business stakeholders the best infrastructure to run their applications. A cloud Management Platform can go a long way in easing those challenges.

Digital Alchemy – Making your Business the gold standard

We are living in the times where a popular business existing for over two decades find a potential market threat in a 9-months-old Digital native start-up. Irrespective of the line of business, Digital Transformation has become nearly inevitable to stay sustained. While we are at it, let’s just admit that it’s no small race to get the gold star first. The accelerating digital technologies such as one-click Customer service touch points, immersive VR/AR experiences, voice-based virtual assistants tagged to electronics… all are brought into play. Nothing feels like fantasy anymore!

Finding the right ‘Philosopher’s Stone’ that can create significance, bring in the much-needed Digital Transmutation and result in Magnum opus is quite a task. So, in this article, we will discuss a way to achieve the ultimate golden standard which is… sustainable Customer Value to a business. Let us imagine a matrix of Digitization state defined by a company’s Digital Capabilities against Integration Capabilities. Based on their current status of Digital readiness, every company lies somewhere within this matrix. To achieve the gold standards, the company will have to move upwards from one state to other and eventually attain a state where it can distill best out of every asset and technology synergistically. Digital Success!

There is no comprehensive know-how guide for Digital Alchemy that works for everyone. Digital Transformation is to emphasize the uniqueness of a business using the right amount of Technology as an accelerator and it is impossible with a one-size-for-all approach. Every company whether a Digital-native or a Traditional company investing efforts to stay relevant to its millennial customer base would be in one of these below-mentioned stages before achieving the Elixir of business value.

Digital Entropy

This is the rudimentary stage where naturally deteriorated (with time) entropic forces make a business resistant to change and adoption. Every day we work with enterprises and no one wants to be stuck with the primitive stages of Technology.

“But these organizations are having siloed efforts of Business Analytics, Digitization of Customer Services, Cloud Migration and other technological efforts without the end goals of achieving gold standards in sight.”

What’s required at this stage is a strong intent towards betterment and ability to bring all the stakeholders on board to achieve the goal. In simple words, their current system doesn’t capture (enough) value for the employees or customers, and it requires decomposition and Putrefaction, which is ‘Nigredo’ in Alchemy terms. It must be a natural progression.

It is always suggested to believe in ‘Incrementalism’, especially when your company seems to be at this condition. Start small, maybe with IT infrastructure, Data Integration, Inside Operations and slowly find your way up. Choosing the technology partners and vendors carefully might require a lot of brainstorming, but it’s worth it, to avoid a scenario where the golden opportunity can turn into a pitfall.

Digital Enthalpy

In an urge to stay up in the race, companies oft-times fall into this category and we came across a lot of such during our assessments and client interactions.

“These companies are hot on Digital, have Digital Transformation at the top of their every agenda and desperately adopt every technology emerging around them and struggling to integrate them to their main aim and get people to adopt the sudden storm of changes.”

This is a path drifted away from achieving Digital Alchemy which eventually ends up making the business leaders worry about their Return on Investments. What it needs is ‘Albedo’, Purification, strategizing and streamlining of alacrity.

It’s always necessary to have a system to constantly reassess the current Digital Strategy and check how well the new adoptions are making synergies with the rest of the infrastructure. Some adoptions that have saved our clients from being disrupted at this stage are – App modernization in DevOps way, automating manual processes using Robotic Process Automation (RPA) and Improving customer interaction by introducing new digital touch points. The sense of confidence that comes from customers who are treated with excellent service and experience is long lasting.

Successful Digital Alchemists aren’t the ones who create gold with DT and stop there. It is always important to reinvent themselves to stay sustained.

Try these to turn your disruptable-business into a bi-modal enterprise:

Traditional Product with Digital Service – You can still sell the same product that made you special to your existing customers but adds value by transforming the way you do it through digitally enabling the current business model. Build applications (In-house or Third-party) that’ll serve your customers better. Traditional Service with Digital Service – While your traditional (off-line) service is serving your existing customers, make yourself available to the new generation prospects with services that are gadget-friendly. That way, you aren’t going too away from your current base but still ready with an expandable business model for the new-gen. Going all Digital overnight would create a lot of unwanted confusion within the organization which will eventually affect the customer value.

Hybrid Enthalpy:

Transforming the businesses that are set down in this state is the toughest of all.

“Business in this state are ahead in their journey of achieving Digital Alchemy but are struggling with the adoption of data-driven technologies.”

Organizations stuck at this stage holds a lot of unutilized data and requires immediate attention towards employing Artificial Intelligence and Machine Learning Algorithms to achieve gold standards. They strongly believe in an extreme level of information and system consolidation but, is a screaming need for Digital Discovery. As they say, Adopt or die. What can save these businesses is ‘Citrinitas’? An awakening to dust off the unmined data?

They are one step closer to achieving the gold standard because system integration is the toughest one of all tasks needed for Digital Transformation. Since the consolidation is in place, they just need to perform a Readiness Assessment and spend time on picking the right technology(ies) that can improve the value and customer experience and monitor the progress. There are literally thousands of technologies available and the number is only growing day by day. AR/VR, Artificial Intelligence, Bots, Machine Learning, Artificial Intelligence, Internet of Things, Block Chain the list goes on.

Digital Alchemy:

The ultimate position everyone would love to see themselves in but is not an over-night journey to reach there. This is where the enterprises constantly disrupt their own models through continuous innovation which is nothing but distilling the best out of every asset and technological adoption. It’s not a destination but is a state of continuous rediscovery for the business. The enthalpy needs to help the system functioning at an optimal level of Digital Success.

Once the unique recipe and modus operandi are found to Digitally Transform the business, the leadership needs to transcend this movement by establishing the new agenda of culture, purpose, and future; and make it articulated well to the entire workforce. They must act as the change agents to drive the digital and physical business transmutation. A DT journey map needs to be drafted at every touch point with intent and attribution. Understanding that Digital Literacy is the only way of business, every part of the business must feel responsible for the Customer Experience and Innovation to make it happen. When Innovation becomes an integral part of the culture, that is ‘Magnum opus’!

Why are we one of those very few successful Alchemists?

For a Technology company who is not even a decade old, Qentelli has an impressive collection of illustrative cases demonstrating how a Digitization can rebuild the business in more than one way. When a giant global food chain was feeling left behind mainly because of,

  • Their Monolith ERP Application for POS and Back office operations
  • Siloed implementation of CI
  • The time spent to spin up new Environments
  • Multiple versions of the core Front- and Back-of-store Applications
  • Incorrect versions of Software deployed to Environments
  • No streamlined process for Test Data Management
  • Inconsistency in environments, and many other issues.

That is exactly when Qentelli has stepped in to introduce production-ready, lightweight containers with standardized images for streamlined CI/CD practices. We’ve used just the right amount of AIOPs that can complement and eventually capable enough to supplant the human IT staff efforts to perform monotonous tasks such as system monitoring, alert response, trouble diagnosis, and course of action drafting. There are more multiple instances where we’ve introduced sophisticated DevOps, Automation, Robotics, state-of-security eCommerce applications, and Application Modernization solutions to Digitally enable them to survive in the ever-competitive marketplace.

Now that we are all on the same page that shift of businesses during Digital Transformation doesn’t mean adopting Digital Technologies to simplify business operations but also carefully choosing them and strategically modifying them to fit well with the culture, value and business goals. Information Technology leaders play a crucial role to whip the magic potion to create gold. Placing the organization on par will only be possible when your Digital Transformation makes enough sense to your employees and customers.

Containers and Microservices – A match made in heaven

Considering the demand for rapidity from modern applications, embracing haphazard Agile development methods won’t serve our need of the moment. It’s important to bring in the architectural drift that can aid Continuous Delivery. Especially, when Portability has been the biggest drawback in the space of Application Development if Modularity can help us achieve it, and translate into multiple business benefits, that’s what we need.

Drawing up a software development architecture is as much a business decision as a technical one. The chosen architecture should improve the speed of development using better software, improved talent with less expenditure. Apparently, breaking the giant application into Microservices, to develop individually and deploy independently using a service-oriented Architecture seem to top the charts. But with the ever-increasing complexity of applications and considering the processing capabilities of servers today, running each of your microservice on bare metal is not a charming option.

How about Virtual Servers?

Simulating multiple environments using a Virtual Machine may offer better-known security Hardware@2x-8controls, but it runs not just a full copy of an OS, but also a virtual copy of all the applications, their related files, libraries and dependencies that the OS needs to run. That’s a lot of space burden on Host Operating System. So, each time you deploy a microservice on VM, it needs a dedicated server to run. As the application starts scaling, the weight on the Host Operating System increases, which results in limited performance.

Except for the fact that VMs are fully isolated and hence offers more security, one cannot count on VMs when it comes to the workload.

The ideal Run-time environment for the Microservices is…

Right from the phase where the application is being built, it most likely is made run in multiple environments, such as the developer’s system, to testing to final production ecosystem. Creating an isolated user space where the program can directly run on the host OS would be great. The Virtual Environment that can offer constant monitoring, lesser mean-time-to-recover post failures without disturbing other microservices will have an upper hand over Virtual Machines.

Can Containers fill the gap?

We say, Yes! The Containers naturally are built over operating-system-level virtualization infrastructure@2x-8mechanism. They abstract the application layer creates an image of it and encapsulate a consistent lightweight runtime environment for the service they run. They act just like the plug-and-play office set-ups. Easy to create, maintain, scale, repair and even terminate from the main application whenever needed without affecting nearly any other microservice (compared to VMs). Unlike VMs, Container-based virtualization assures the highest application density and makes the most out of server resources. Since they don’t demand a separate operating system for each service to run, the space each container takes is hardly a few megabytes. A container’s isolation boundary is at a single application-level and not server-level which makes it more risk-free in the case of hazards and reduces compatibility issues between applications.

…and it gets better with Cloud Computing!

In recent times, Cloud got insane fame for the scalability it provides, the portability element gets better with container-based virtualization. Containers create a convenient execution environment that contains nearly everything that the service needs to run (such as code, dependencies, libraries, binaries, and more) plus shares just the OS kernel and not the complete OS. Copying Cloud Containers almost instantly to create development, test, integration and live environments is easy since they are very portable. The new-age cloud container platforms are equipped with features to verify the publishers and check for image vulnerabilities. Thus, making it more robust in terms of security. With this, Version Control gets easier and improves enterprise safekeeping.

We can essentially deploy and manage containers using any programming language and technology. Cloud gives the flexibility to make the application more composable and gives better control over resources. Creating hyper-focused services through Cloud-enabled Containers with co-locational development, storage, management, and monitoring multiply the operational, surveillance and economic benefits.

Cloud computing eliminates the need to invest in hardware, encourages one-click deployments and there are prominent big shot Cloud vendors that offer pay-as-you-use models.

Is Containerization flawless?

That’ll be amazing, right! But OS Virtualization does have a few areas with a scope of improvement. For example, since containers are only isolated at process-level, they might be a little less secure than Virtual Machines which are completely isolated. The containerized applications share a common operating system and any breach of OS safety is a potential security threat to the whole application. Having a strong container security scanner system incorporated to the Continuous Integration pipeline, to scan each time a container captures a new image and pushed, can prevent the image to transport the vulnerabilities of the base ecosystem further into the other environments.

Communication between Containers (especially when you are relatively new to them), is a tricky job. Each time the codebase is changed, the container needs to be packaged well and ensure the inter-container-transmission isn’t disturbed before deploying the new code into production. Creating containers isn’t an affordable option for start-ups and small organizations since they need a long-running hosting location. But this fact is more likely to change as the partitioned environments are developing to mature.

But again, Microservices and Containers can get better as they grow old together. Orchestrating multi-container applications using cloud computing can result in high scalability, elasticity, and availability. Containers can enable Continuous Delivery like no other mechanism. Containers can scale proportionally with the complexity of Microservices and nearly the only option to achieve the required coordination. Thus, a match made in heaven!

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