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Nyshitha Thota

Secrets of starting and running a successful DevOps Program

‘Software is eating the world’ said Marc Andreessen, a confidant of global corporate giants.

‘Say no more!’ said the leaders of businesses across industries.

In no time, every software company started adopting various development methodologies to build better software (with bigger appetite maybe) and release faster. DevOps is one of the well-known adoptions and claimed to be a revolutionary one at it. While everyone is trying to take notes and simulate the efforts of first-generation digital adventurers, not everyone is ending up nearly as successful as them. Where is it going wrong? A lot of market and entrepreneurial experts say it’s the direction of transformation and we can’t agree more. So, let’s look at the control centric as well as self-managed structures and transformation models to try and assess their effectiveness over DevOps adoption.

Top-Down Transformation:

Business owners have realized the on-going shift from hardware-based to a software-based economy. The digital era is forcing them to transform everything from culture to business operational models. To lead a living and breathing agile enterprise, delivering quality software and motivated workforce is very important.

We helped an organization that was trying to get their teams to adopt DevOps. A detailed Discovery process, with confidential feedback from the teams on the ground, revealed that while the leadership had provided necessary investment, they were trying to push a specific Cloud-based DevOps platform. But the engineering teams felt that the tech stack currently in use would not align well with this platform.

We conducted a workshop with leadership and walked them through our tailored Transformation model. The “how” was then left to the CTO, Architects and project teams to decide, since the leadership was mainly concerned about business agility than the technology.

Bottom-Up Transformation:

Many best-selling business transformation books and articles are promoting an emerging new paradigm of self-managed, egalitarian organizations. But, does it work for DevOps transformation? The concept of a teal organization is interesting, but it isn’t practiced widely for a reason. Broad-based local performance improvement certainly brings a fresh perspective of solving problems, but it has a potential threat with inconsistent implementation and varied performance objectives.

Our vote goes to ‘Cross-functional Core Process’

For a sustainable change, everyone must buy-in the ‘Why’ and be involved while coming up with a ‘How’. Being the new buzzword of IT industry, the adoption of DevOps comes with many conjectures and assumptions. While the top and bottom camps try to win the steering end of transformation journey, the rest of the organization in middle gets pressurized and the core objective is compromised often.

In Cross-functional transformation, core process gets redesigned to link activities, functions, and information in new ways to achieve Transformational goals. What’s ideal is leadership announcing the intent, setting direction and establishing constraints, while the teams are empowered to operate within those constraints. There is no question of either, it must be both.

To achieve the promised land of Agility, if you chose the path of DevOps, make sure your adoption plan follows these principles of transformation drafted based on our experience.

  • The objective is ‘Performance’. Faster cycles, faster failures, faster feedback, everything is to (should be) better the performance consistently. The leaders need motivate the employees, take informed decisions, quantify the potential benefits, and maintain transparency with their core teams.
  • Strategy and Structure is NOT out of fashion. As we said earlier, self-managed teams might get temporary freedom but there is no promise of continuous improvement there. Transformation efforts are done better with viable economic and organizational structures.
  • People matter! We, at Qentelli firmly believe that people can make or break any company during transformation. It is important to hand-pick the right skills and building high-performing teams is necessary.
  • Automate the configurations, the change and the deployment process.
  • Focus is essential. Nothing can be fixed with ‘Fix everything at once’ attitude. Whether it’s the structural conflicts from top-down or procedural complications from bottom-up, the respective personal must prioritize the issues based on their possible consequences.
  • Process is nearly useless without values. Building performance-oriented workforce can’t be built with rigid hierarchies focussing on procedures instead of results. The leaders must clearly communicate the value they’d like to embrace and how are they linked to performance to the employees.

Business scaling consultant and Executive coach Lex Sisney says, ‘behind every high-performing, bottom-up, self-managed, seemingly egalitarian company, there is a well-run top-bottom hierarchal organization’. DevOps adoption is not a cure-all but it sure can enable continuous delivery, continuous feedback, bring in a cultural shift at workplace and most importantly improve customer experience and positively effect the delivered value. Talk to our DevOps experts to know what’s the safest way to transform the way you produce software before its too late.

Adapting the CI-CD Methodology to Your Organization

Every Organization today is embarking on a DevOps Initiative to accelerate delivery of Business value by IT. However, 75% of such initiatives are reported as ‘failed’ or ‘not as successful as expected’, by a recent report from Gartner. Our experience over multiple engagements enabling DevOps for large organizations showed us that teams are trying to adapt DevOps too fast too soon.

Building an all-inclusive delivery pipeline is most likely to fail if it is done all by ourselves at gunpoint. It needs a strategic approach of learning, adoption, and implementation.

Multiple Organization change models exist that use proven principles and strategies to bring in sustainable change. While the nomenclature differs in those models, the underlying principles can be distilled into 3 steps. In this article, we use an ancient Japanese martial art training concept called Shu-Ha-Ri, helps novices progress from basics to mastery and finally innovation.

In this article, we take a deeper dive into how this model can help organizations introduce change, especially to IT teams who are born skeptics!

SHU (Imitation): A survey done by a popular cloud management platform says 78% of the organizations fail to get DevOps right. The reasons are distinct from culture to uncertainty of technology adoption to unplanned workloads. Setting unrealistic goals weighs down the enthusiasm of talents. Most of the senior practitioners and a lot of leaders who’ve successfully adopted and executed CI-CD pipelines into their software production advocate ‘Do what the book says’ way to avoid pitfalls. Following the agile manifesto and mimicking the proved methodologies of DevOps adoption will trim down the chances of failure and provides a springboard to the contributing teams to understand the basics, get comfortable with the transition and innovate as its needed.

There was a time where HP LaserJet Firmware Group was doing only 2 releases per year and majority of the developer’s time was being spent on importing existing firmware into products. As a result, though they had about 700 developers across the globe, they hardly had any time to write any new features. That is when they’ve decided to follow Toyota’s ‘stop the line’ culture to improve quality, eliminated code branching and stepped into testing automation. Their commits per day have increased from 1 to 100+ and their percentage of time spent on writing new features have improved from 5% to 40%.

HA (Assimilation): This is the stage where nascent teams break shells and become proficient. The prime drivers of transformation of the enterprises shall observe the results of the aforementioned practices, turn those outcomes into insights which shall help them to move beyond the repetitive exercises. The leaders must encourage their practitioners to break the rules and start experimenting. This rehearsal shall shape the values and principles that may drive the forthcoming operations. This will be the perfect time to introduce tailored Quality Engineering practices.

While new-age FinTech companies are disrupting the traditional banking services, Lloyds Banking Group (whose history dates back to 1765) came out of its comfort zone and proved no company is too old to implement and develop its own DevOps model. They managed to bring new applications into market that comply with government regulations. They claimed to ‘Remove waste from the processes’, stabilized testing environments, automated repetitive tasks and even brought in 3rd party DevOps tools to strengthen their CI-CD pipeline.

RI (Innovation): Although following the safe methodologies and leveraging third-party solutions is working out just fine to support the Continuous Delivery efforts, no one wants to be a mechanistic grease monkey in a world where progression happens only with innovation. That’s the cue to bring in what Martin Fowler calls it a ‘Pragmatic Scrum’ which adapts to the styles and situations of individual teams and contributors, then culminates in true Agility in approaching projects, challenges, and the process itself. By the time teams reach this phase, they should be guardedly optimistic, contain home-grown talents, timely innovate, co-create the process, and accomplish their own rules.

There are many businesses who managed to build top-notch CI-CD pipelines, yet Netflix is a story worth saying again. The world’s largest video streaming company had struggled with Digital Transformation, followed the book of SAFe, tried what their contemporaries are doing, learnt lessons from their results, borrowed technologies, built their own and constantly bettering them with every chance they get. Post cloud migration, when Quantity was challenged by Quality, they’ve decided to build an army to interrupt random instances with no warning only to improve their reliability, security, resiliency and recoverability. That bold move shook the IT world and now many other companies are using the open source Simian Army to improve the quality of CI-CD pipeline.

One step at a time

Its never too late to take a step towards quicker time to market, efficient data utilization, faster operational procedure, better customer experience, and ultimately strengthening the business to be more sustainable. But as they say, one step at a time! The key is to listen to your customer and act accordingly. The leaders must nurture a test-and-learn culture to consistently optimize services and adopt Agile processes to focus on rapid prototyping and quick release cycles.

Still have questions about what can be the right strategy to bring in CI-CD into your IT? Our DevOps experts can tailor-made a strategy for you.


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.

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