Cloud adoption is now an integral part of any organization’s IT modernization and optimization strategy. With most versions of Hortonworks Data Platform (HDP) nearing its end of life, it has become imperative for organizations to act fast and migrate to modern data platforms in order to mitigate risks of scalability, obsolete technologies & system failure prevalent with legacy systems. Also, organizations need to switch to performant technologies to serve their clients better. In such scenarios, migrating to Cloudera Data Platform (CDP) is a common choice for many reasons – scalability, performance, modern features, and ease of migration.

Essential Strategies to guide your HDP to CDP Migration

A successful migration from Hortonworks to Cloudera requires detailed planning and careful execution. This is especially true in larger environments with many workloads, multiple tenants, and complex data dependencies. Below are some of the key steps to employ while embarking on such a migration.

  1. Extensive premigration assessment:

    It is important to perform an extensive assessment of technology inventory, security, and data storage aspects to come up with a well-crafted migration plan. To ensure successful migration businesses need to assess inventory of all the tools and technologies used in the current Hadoop environment including third-party vendor software. The inventory of tools may be classified under the following heads.

    Analyzing security and governance configurations is also vital. – Assessment could broaden the scope to include more tools, such as Ranger, and Hadoop Access Control Lists (ACLs). It is also important to consider Kerberos, Active Directory, encryption-at-rest and encryption-in-transit for improved security during migration of data or applications over any network.

  2. Employ a systematic migration approach:

    The migration approach should consider the systematic migration of data workloads to the cloud with zero disruptions in the existing production processes, and in-sync monitoring and operations. Organizations can utilize the DistCp (distributed copy) with Amazon S3 to move data and HMS mirror for Hive data.

    Teams should first deploy a secured cloud environment, then migrate the data first and the data services last. Running workloads parallelly on both HDP and CDP clusters is a good idea to ensure business continuity and always running systems. Using accelerators such as Infocepts Quick to Cloud (Q2C) or Infocepts Cloud Template Library (CTL) can help you with faster and risk-free migration.

  3. Determine the best-fit migration approach:

    Organizations generally apply a Lift and Shift approach or a Refactoring / Rearchitect approach for their migration. In the first approach enterprise data and its applications are moved ‘as is’ to the cloud with minimum modifications. It is well suited for organizations who do not need to harness advanced cloud capabilities and also in cases with complex code modifications. The other approach of refactoring or rearchitecting changes an application’s code or architecture and is usually considered in advance cloud migrations since it is expensive, and time-consuming but will pay-off in the long run. A good Cloudera migration strategy must identify how your platform and workloads will need to adapt to the new environment and your future requirements as per business goals and strategy.

    There are many other essential strategies to ensure a seamless and accelerated migration journey from a legacy to a modern platform like Cloudera.

Our Recommendations

As you embark on your migration journey, keep in mind the following 3 key recommendations amongst many more:

#1: Use migration as an opportunity to rationalize and decommission unused apps and data pipelines
#2: Use data replication technology specialized for Hadoop migration
#3: Engage a specialized vendor that utilizes best practices and accelerators to help you reach your goal faster

Interested in learning more? Our advisory note provides detailed migration strategies and a modern approach to help you succeed in your migration journey.

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New opportunities due to rapid cloud adoption amongst teams and proliferation of data has opened new challenges for organizations in today’s digital age. Optimizing not just businesses processes but also cloud platforms, its operations, and associated costs is important for improving ROI. This results in improved resource management, transaction volume, better user experience and adoption, resulting in increased business value. Improper cloud cost governance will lead to ballooned inefficiencies, inflated cloud bills, and deaccelerated innovation, with the dangers of organizations becoming less competitive and losing their edge.

Cloud cost optimization deals with financial management through spend analysis and control strategies, to maximize return on investments on cloud endeavors. It is not a one-time cost-cutting measure but is a continuous cycle (monitor-analyze-optimize) for realizing value on every dollar spent.

We have listed below a few of the many strategies to optimize cloud costs –

Centralized Cloud FinOps team enabling decentralized decision making

With the advent of cloud platforms, finance teams no longer control the spending while IT engineers are empowered to spin up resources with a click of a button without any budget considerations. Hence a leadership-approved, centralized, cross-functional FinOps team is needed to forecast budgets, monitor cloud usage, and govern billing rates. This FinOps team comprising of cloud experts responsible for evangelizing best practices is pivotal to the success of any cloud cost optimization journey.

Centralized Cost Monitoring

Organizations continue to struggle to understand cloud expenditures and the granularity of the cloud bills. The cost tools provided by cloud vendors are not enough to provide spend analysis tied to business value or handle multi-cloud or hybrid cloud complications. Hence it is important for teams to create visualizations and dashboards on top of the cloud bills to abstract its complexity and intricacies, and to make it accessible to all stakeholders in real-time.

Efficient Development and Release Cycles

Companies that employ manual deployment and provisioning approaches on the cloud has an inefficient and costly release cycle. Employ DevOps, standardize, automate, containerize, and accelerate risk-free deployments on the cloud, thereby reducing effort and improving efficiency.

Automated Monitoring and Configuration of Resources

Managing delinquent resources is not easy without monitoring and automation. Teams need to optimize resources and plan for shutting down idle resources, spinning down scaled-up resources, removing unused resources, etc. to cut on cloud wastage. Employing Infrastructure as Code (IaaC) with Policy as Code (PaC) helps with seamless and consistent deployment of infrastructure and services on the cloud.

There are many other important strategies which help organizations optimize cloud costs and improve platform efficiency and operations. Organizations should not target to surmount all cost challenges with one strike but consider it as a journey.

Looking to learn more? Our advisory note provides six important strategies to efficiently manage your data and analytics cloud costs.

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Organizations are modernizing their data and analytics ecosystems with Tableau cloud adoption as part of their cloud transformation journey. If you thought that migration from Tableau Server (TS) to Tableau Online (TOL) is easy just because the base platform is the same i.e., Tableau, we suggest caution. Migrating your Tableau platform to the cloud can be complex since you are moving from a server to a serverless model. It can involve uncertainties like changing platform security models, team design, licensing considerations, implementation approaches, migration tooling decisions and associated costs.

Limiting your journey to just content migration can be a blunder and a lost opportunity. You need to rethink TOL Migrations as a key strategic transformation initiative. TOL migration presents a terrific opportunity to modernize the analytics experience for your entire business.

How to Simplify any Tableau Online Migration?

Below are a few considerations and a short brief on how to simplify your Tableau Online migration strategy.

  1. Outline Migration Objectives –

    Defining all the relevant migration motives is important not just to simplify the migration, but also to utilize this rare opportunity to elevate your organizational analytics maturity. These objectives have a significant impact on things like architectural decisions, platform costs, operations, customer experience and others.

  2. Know Migration Limitations –

    Organizations need to spend considerable efforts and thoroughly assess their current platform setup and associated infrastructure. Getting a 360-degree view helps identify tool limitations, process bottlenecks, unsupported infrastructure, and other migration limitations. With the right expertise and the supporting frameworks from our D&A migration solution, we can help assess the current platform setup and ensure a smooth migration.

  3. Know Typical Migration Pitfalls –

    Every migration initiative will be different and unless you have done a pilot migration factoring all the aspects like setup, security, connectivity, movement, access and so on, there is a risk you might have to face some unforeseen pitfalls. E.g., a common pitfall seen in projects is teams exceeding estimated timelines, efforts, or associated costs. Migration is not an operational process; you should fully leverage deep knowledge and expertise which consulting partners bring to the table.

There are many other hidden facets to D&A platform migrations, some even beyond technology. It is important to leverage the correct D&A platform migration solution which focusses on people and processes – which are core components of any migration.

Data & Analytics Platform Migration at Speed and Scale

Our D&A Platform Migration solution is designed to migrate one or more blocks of analytics ecosystem quickly and efficiently using our robust methodology, accelerators, and pre-built migration toolkits. Our holistic approach to Tableau platform migration includes using knowledge accelerators that highlight differences between server and online that can further reduce surprises and help in accelerated migration.

Check Our Advisory Note to Know More

Our advisory note will help you avoid common migration pitfalls and provide you key insights to simplify and accelerate your Tableau Online migration.

Grab your copy to know strategies for successfully migrating your Tableau platform to cloud and to help you think beyond migration – to analytics modernization.

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Covid-19 accelerated digital transformation for enterprises in all industries — and today, cloud initiatives are at the core of digital transformation. Enterprises are likely to experience mixed success with their cloud initiatives in the medium term as they manage challenges such as severe skill shortages, evolving data architecture practices and myriad cloud vendors with similar offerings.

Drawing from our company’s experience of implementing more than 50 cloud initiatives across industries, here are my top five recommendations for business and IT leaders planning significant data and analytics (D&A) initiatives in the cloud.

1. Not everything that can be moved should be moved to the cloud.

Cloud migrations involve significant capital expenditures (CAPEX). In my experience, when you migrate old data applications to the cloud, you should not expect to see operating expenses (OPEX) savings for up to three years. In many cases, all layers are not migrated together due to interdependencies on other systems, leading to a hybrid approach with a combination of on-premises, private and public cloud hosting.

Carefully evaluate the suitability and need to migrate the following category of applications to the cloud:

  • End-of-life legacy applications or tool platforms
  • Applications built on comparable SaaS (Software as a Service) tools
  • Applications accessing data that requires stringent data security and privacy
  • Specific hardware-dependent applications

2. Plan to embrace a multi-cloud future.

Three leading public cloud players — Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) are adding capabilities, services and geographical locations at rapid pace. Most of their comparable services match each other in terms of cost and performance, and with no consolidation in sight, you can benefit from their competition.

Each of these cloud vendors do provide a few differentiating services. To enable the creation of cutting-edge data and analytics solutions, aim to leverage the best services available, regardless of which vendor provides it. For example, one of our clients — a leading media and entertainment company — uses a multi-cloud setup with AWS infrastructure and select AWS services for its data apps, Azure for email services and cloud native PaaS platforms like Domo and Snowflake for analytics.

Within your organization:

  • Discourage investment in single cloud vendor
  • Promote a culture of looking for the best services, comparing capabilities and costs across cloud vendors
  • Encourage technical teams to design data architectures that seamlessly use cross-cloud capabilities

3. Don’t let security be an afterthought.

According to the Verizon Data Breach Investigations Report (DBIR), most cybersecurity incidents now involve cloud infrastructure. We can expect the threat of data breaches to grow in the foreseeable future, and the responsibility for increasing security protections lies with enterprises.

In our work, we have seen that most cloud initiatives, especially enterprises’ early endeavors, try to address security requirements through native services. However, due to inadequate design, these solutions fall short of addressing all risks. Thankfully, there are a number of solutions from third-party vendors available that you can use to address this critical gap. Use these tools to:

  • Carefully assess security requirements
  • Invest early in holistic security solutions
  • Conduct frequent vulnerability scans

A global bank that we work with has implemented a unified data-centric security model with sensitive data-flow discovery, real-time monitoring, behavior analytics and protection across all operational and analytical applications (both on-premises and on-cloud).

4. Monitor all D&A solutions through a unified platform.

Given the nature of cloud services, any data and analytics platform migrated to the cloud gets decomposed into many independent solutions. While this offers advantages, such as no single point of failure and scalable performance, managing multiple platforms can be complex. In case of service level failures, it can be difficult to ascertain the root cause, replay the sequence of events and recover from the failure.

DevOps staff supporting disparate platforms need to invest significant effort in scanning consoles of multiple services for any meaningful analysis — post mortem or change impact. It is highly likely that components of such systems will drift away from the initial architectural vision. To avoid this outcome, push for:

  • Holistic assessment of current and future monitoring requirements
  • Early investment in a comprehensive monitoring solution
  • Frequent “game day” drills to test responses, in processes and people

A global market research firm we work with uses a centralized monitoring platform to track its infrastructure, databases, analytical apps, workflows and security. It gives them the ability to have a 360-degree, single-pane view of its data and analytics ecosystem and provides greater operational efficiency.

5. Aim for an accelerated pace of innovation through the cloud.

For most enterprises, the first set of cloud initiatives includes migrating existing data and analytics applications to a cloud platform. Whether as-is (lift and shift) or re-engineered, these types of migrations don’t change the status quo dramatically.

But there is a constantly expanding set of cloud offerings that covers capabilities like IoT, blockchain, data science, machine learning, media, quantum, robotics, satellite, VR and AR. Explore how your organization can use cloud initiatives to power innovation. How effectively you do this will prove to be a competitive advantage in the Industry 4.0 era.

There are also countless focused solutions available on cloud marketplaces that significantly reduce the cost of experimentation. Take advantage of these cost-effective tools and encourage:

  • A culture of innovation with cloud at the center
  • A risk appetite based on leveraging cloud offerings and marketplace solutions
  • Thinking “cloud first” before costly in-house development of new solutions

Your organization has probably moved the first set of data stores and front end analytics apps to the cloud with varying degrees of success. Enterprises that don’t see measurable positive outcomes with their first cloud initiatives tend to delay the rest of their cloud adoption journey. Don’t fall into the same trap. Cloud initiatives will continue to be a critical ingredient for future business capabilities. By finding the right solutions and engaging the right partners, you can set your organization up to make well-informed choices, develop pragmatic roadmaps and avoid the pitfalls that lead to failure.

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A cloud migration is the process of moving applications, data, and other components hosted internally on servers to a cloud-based infrastructure. Whether you are a “Cloud proponent” or a (non-vocal) opponent, chances are high that your organization has already embarked upon its cloud journey as it is becoming a top priority for most businesses.

Different Types of Data Migrations

Traditionally, a cloud migration strategy is considered as moving a virtual machine from on-premises to Cloud. However, recently, there are rise in different use cases such as cloud-to-cloud migrations and reverse cloud migrations.

On-premise to Cloud: Infrastructure, Database, Development platforms and Application everything candidate for cloud migrations.

Cloud-to-Cloud migration: Scenario among customers that want to avoid vendor lock-in and adopt a multi-cloud strategy.

Reverse cloud migration: a scenario where you’re looking to migrate off the cloud. It cloud be due to regulatory or some offline working needs.

Key Benefits of cloud migrations

Migrating to the cloud is a complex process that enables tremendous potential for your business. But complications created by inflexible legacy systems and vendor-driven lock-in can drain your investments and slow down transformation.

A cloud migration brings about various opportunities beyond cost saving. Modernization, scalability, agility, security, and compliance are some key know benefits. What you might not consider while defining your migration strategy are the added benefits like improved business agility, operational excellence, enhanced performance efficiency, automations, and geographical expansions that also come when migrating your data and analytics systems to the cloud.

Furthermore, modernization helps your business to empower DevOps, artificial intelligence, machine learning, real-time processing, and more.

Cloud migration strategies

There are countless possible architectures of cloud migrations beginning with three hosting options, IaaS, PaaS & SaaS, and 100s of various technologies, below are common strategies helps customer planning migration. But ultimately your migration largely depends on your current state and how your data and analytics platforms are proposed for future state.

Retain (Referred to as re-visit.) – Do nothing for now, keep on-premise. Examples for such applications are too much business risk, compliance, regulatory requirements, and less shelf life.

Retire  – Remove applications that are no longer needed.

Re-host (Referred to as a “lift and shift.”) – The lift and shift migration approach migrates your application and associated data to the cloud with minimal or no architecture changes.

Re-platform (Referred to as “lift, tinker, and shift.”) – Make cloud optimizations to achieve a tangible benefit. You will not change the core architecture of the application. An example of this is replacing database backends of applications with a corresponding PaaS database solution of a cloud provider.

Re-factor / Re-architect  – Re-architecting usually leads to the highest transformation costs and is mostly done for critical applications that need modernization, like when moving on-premise analytics to a real-time analytics cloud native solution.

Re-purchase  – Move from perpetual licenses to a software-as-a-service model. Examples for such is moving CPU based licence to “Pay as you go”.

Remember that no migration will ever look the same, but with Infocepts we have the proven expertise, frameworks, and technologies to help we narrow down your problems, develop pragmatic roadmaps, and provide accelerated solutions to achieve your objectives.

Get started today with Infocepts and start your journey towards modernization.

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To unlock new opportunities, improve agility and accelerate innovation, enterprises are moving their business applications to cloud. The challenge is how to do it properly. The goal is reduce any disruptions in daily operations, and assure both current and future business and technology needs are met. Further, there are concerns about choosing the right architecture, avoiding vendor lock-ins, compliance with security standards, avoiding cost overruns and complexities of application re-platforming.

A successful seamless data and analytics migration to the cloud requires a well-defined, structured approach to planning and execution.

Evaluating Key Factors for the Cloud Migration Process

Planning is key for successful migrations, some critical factors need to be evaluated:

1. Network and security

Network first, ‘security’ next, everything else follows, before any other component, consider network design. This includes data connectivity between Data Centres (DC) and cloud to ensure seamless connectivity among enterprise infrastructure components.

2. Current architecture

Every enterprise that tries cloud migration will have several architectures that appear equally promising. It may further happen that all these options appear to check all the right boxes, thus clouding the decision further. In such scenarios, a POC becomes imperative.

3. Migration and maintenance costs

Total cost of ownership (TCO) is the sum of all costs involved in the purchase, operation, and maintenance of a given asset during its lifetime which reflects in time frame of 3-5 years. Migration to cloud may not bring cost-savings at all or the savings may not be realized upfront.

4. Stakeholder communication

Facilitate buy-in from your stakeholders through a multi-year TCO view, managing conflict of interest between business and IT.

5. Desired migration timeline

Migration to cloud is impacted by and impacts typical enterprise initiatives, visualizations, data center changes, platform upgrades, and major transformation.

When to Avoid Cloud Migrations

Despite of all high value there may be certain applications and process still need to be on-premise due to following:

  • Security and Compliance: Security and Compliance applications based on local regulatory requirements still considered to managed on-premise for better control
  • Low Latency Applications: Low latency applications need to be redesign and rearchitect as apart of migration, Example, Applications running on mainframes cannot be migrated to the cloud without modernizing or refactoring for the cloud.
  • Proprietary Hardware Platforms: Applications like Oracle Exadata, AWS S3 and Oracle Google Anthos, Amazon S3 running on engineered systems that cannot be re- hosted.
  • Offline applications: Applications dependent on a physical machine (e.g.: Scanner requiring a specific MAC address, App requiring specialized hardware drivers that cannot be virtualized, Apps requiring to read biometrics) or applications running on ship, remote mines where internet is not available all time.
  • Sunset Application: Applications which will be decommissioned in few years or near feature, as the TCO cost will not be realised before application discontinued

Pitfalls With Data and Analytics Leading to Failure

Based on industries best experience following could be possible reason(s) for cloud migration failures

  • Expectation mismatch: Set right expectation with stakeholders is very critical.
    Example: Cloud lift and shift just move your infrastructure to cloud but any slowness due to complex logic or business process will remain even after migration.
  • Skill Gaps : One of the biggest reason’s organizations delay moving into the cloud is that they lack IT personnel trained in cloud technology. When it comes to the cloud, business leaders are concerned about not having the expertise to handle the cloud migration and ongoing management of their cloud infrastructure.
  • Incorrect Choices : Create candidate architectures for future state involving choice of cloud vendor, technologies, and tools. Compare alternative architectures & agree on the best fit per the success criteria specified in the define phase
  • Change Resistance : Change resistance another salient challenge which exists in many organizations but not visible upfront, cloud brings lot of cultural shift in organisation where skill transformations, opportunities and legacy ethos need to be changed.
  • Org Misalignment : No common consensus building between business and IT stakeholders, other Platform transformation/upgrade in progress while cloud migration needs better synchronisation and alignments.

Tools and Services for a Successful Cloud migration

Cloud migration tools help determine costs, capacity, and prerequisites of your cloud landscape configuration before the team embarks on your migration journey. Below is a selection of tools that are commonly used during a migration and adoption readiness assessment to help foster a successful migration.

Cloud Service Provider (CSP) – Tools

These tools are specific to service providers and mostly assessment results are biased towards offering provided by vendors, some common examples as below:

Managed Service Provider (MSP)- Solutions and Frameworks

These solutions and frameworks provide the best combination of all cloud offerings and are tailored for your organization. A product agnostic solution framework will not only provide you with a product assessment but will provide an end to end roadmap of transformations.

Our Infocepts Cloud Migration Solution leverages our proven framework for cloud strategy, assessment, and road mapping to craft an execution-focused, holistic cloud strategy. In addition, Infocepts cloud migration accelerators provide expedited, error free and cost-effective migration approach with low risk and planning.

Your cloud migration is just the beginning of your journey. Expected TCO require continuous rationalization, monitoring, service operation to achieve your strategic goals.

With Infocepts you realize the intended benefits without disruption, and with no surprises in your cloud cost bill. Get started today on your cloud migration journey!

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Spend less time agonizing over cloud bills and more time optimizing your cloud costs. Our accelerator, Cloud Cost Monitor (CCM) monitors the spend of your cloud-based investments and provides a single view to enable the promise of cloud cost optimization.

We have gathered some feedback and questions we’ve heard from customers that can help you along your cloud cost optimization journey. Take a read below and let us know if you would like to learn more!

1. What is CCM?
CCM is an analytics solution providing a single view to enable cloud cost monitoring and optimization for an organization’s cloud utilization and spend. It unifies usage data across providers and platforms and converts them into actionable insights. These insights enable you to understand and predict cloud spend with confidence.

2. What challenges does the CCM solution solve?
CCM helps organizations that use multiple cloud platforms and infrastructure vendors to simplify complex billing. The solution provides a unified view of your cloud spend, reduces the amount of time and effort spent allocating cloud spend by the department, and helps to realize annual cost savings.

3. How would you describe the business value of the CCM solution?
CCM provides an understanding of the changing costs of your dynamic cloud infrastructure across services, workloads, timeframes, and much more. You will be able to better understand and analyze your complex costs with interactive graphical BI dashboards with drill-down capabilities using the tool of your choice (MicroStrategy, PowerBI, Tableau, Angular, etc).

4. Does AWS, Azure, or GCP have a tool like what CCM offers that can help save money?
Cloud platform vendors have tools that show you where your spending occurs. Cloud platform vendors want you to increase usage and spend and not optimize or shrink annual cloud spend.

5. Why should we use CCM over other off-the-shelf offerings to optimize our cloud spend?
CCM combines the predictability of a full featured-packaged solution with customization of in-house development to meet your team’s specific needs. Additionally, the zero-learning curve provides near-immediate value.

6. What does it take to implement CCM in our enterprise?
CCM can be installed in any enterprise with zero disruption and minimal access requirements (only requiring “Read Only” access to AWS, Azure, or other platform cost files.)

7. What are the key analyses performed in CCM?
CCM provides a spend analytics solution that allows you to analyze Budget and Spend dollars by different hierarchies (Location, Line of business, Applications, Accounts etc.) These integrated analytics and drill-down capabilities combined with predictive algorithms provide for cloud analysis capabilities traditionally not available to organizations.

“Organizations that lack plans to track and monitor cloud costs overspend by an average of 40%. In fact, many companies end up spending way too much to make the move online – because they don’t realize what the shift entails.”
Ed Anderson, Gartner Analyst

8. How reliable are the recommendations from CCM?
CCM provides multi-layer recommendations “out-of-the-box”. These recommendations are based on the customer’s cumulative cost history, our experience, and lastly AI-based recommendations. At least 85% of all provided recommendations are without any human intervention. Based on a conservative average, CCM has been proven to provide continuous and significant savings on annual cloud spend.

9. What is the support model for CCM?
The CCM solution includes annual support which provides coverage for traditional product maintenance, feature enhancements, and a fixed number of hours for customizations or additional report development. Support is initiated through a dedicated email address with defined SLA’s.

10. How can CCM insights and recommendations be made actionable?
CCM provides an alerts mechanism to enable appropriate warnings based on burn rate. Additionally, and by design, CCM recommendations should be reviewed by an architect or administrator before incorporating them for individual platforms.

Want to learn more? Make smarter decisions and achieve better outcomes.

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Migrating your business to the cloud can be costly, especially if you don’t have a strategic plan to approach the migration. Both business and IT must thoughtfully consider what they want to move to the cloud and how to avoid making costly mistakes. As we all know too well, any technical challenge can be overcome by throwing money at it but that doesn’t make for a sensible cloud migration strategy but that doesn’t make for a sensible cloud migration strategy. Mapping a strategy before you begin your migration will put you in a far better position to optimize your cloud investments without breaking the bank.

Things to consider when migrating to the cloud.

It is important to decide how you want to use the cloud. Take time to understand the advantages cloud computing can offer your organization, which deployment model best fits your needs (whether it be infrastructure-as-a-service, platform-as-a-service, or software-as-a-service), how you want to approach cloud security and, most importantly, who will manage your cloud services. Based on industry statistics and customer feedback, we’re seeing more than a third of all cloud efforts fail and more than three-quarters of migration projects take longer than a year.

It also is common for enterprise IT staff to experience an unexpected learning curve or misalignment with the finance or business team’s investment objectives. Without a migration and spend monitoring plan, companies can expect to see approximately 35% of waste from unused cloud resources and unchecked expenditure. And, let’s face it, no cloud provider wants to provide you with a solution that shrinks your environment or that leads to less spend with them every year.

By strategically plotting out your migration strategy and preparing for the most common cloud challenges, you will be better able to implement your cloud environment, minimize waste, and optimize cloud spend and revenue.

Why CCM?

The rapid advancement of cloud-based data and analytics technology creates new opportunities and new challenges. Most organizations nowadays use multiple cloud vendors and/or platforms and struggle with complex billing. When organizations lack a unified view of their cloud spend, they struggle to realize expected cost savings and spend significant time and effort allocating cloud spend to user groups or departments. Overshooting cloud budget is a recurring theme at almost all enterprises post initial migration to the cloud.

Experts agree that cloud spend is on the rise with estimates projecting accelerating growth in 2021 and beyond. Embarking on a cloud journey without a plan for monitoring your cloud spend will guarantee suboptimal results.

To realize the greatest return, organizations today need a tool to help them monitor their cloud-based investments in a single view. Most organizations are dealing with multiple cloud providers and platforms and must unify data from various inputs, including AWS, Azure, Snowflake, Databricks, etc. They also need a clear understanding of the changing costs of a dynamic infrastructure across services, timeframes, and more. Only then can an organization confidently predict and control its cloud spend.

Our Cloud Cost Monitor, what we call CCM, is an on-prem, fixed-fee solution designed specifically to help organizations, like yours, monitor and optimize their cloud spend. CCM affords you the ability to add up to 10 clouds under the same license and incremental cloud environments without paying a percentage of your overall annual cloud spend. With features such as cost tagging, analytics, and a Python AI recommendation engine, CCM enables smart governance and insights that can help you understand, analyze, and predict your complex cloud spend.

See CCM in action:

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