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Why do businesses go to the cloud, and what do they find there?

why do businesses in the cloud


Why do businesses go to the cloud, and what do they find there?

If you are running a business where IT plays a large part in revenue generation (e.g., you deliver your product to clients via a SaaS model), cloud infrastructure is the best way to go. The simplest way to decide whether you should use cloud services or not is to consider this: If you don’t, your competition will, and you will eventually find yourself as an underdog.


If you tried to identify the three main reasons for businesses switching to the cloud from the isolated on-premise model (which is still necessary in some cases), the following three are likely to come up:

1. Time to market

A startup gets its infrastructure up and running in no time at all these days. Everything works as if you just needed to plug it in, like an iron and there are sockets everywhere. There’s no waiting for hardware delivery, no negotiations, no reviewing of SLAs, and no time spent estimating capacity (yet). You just focus on building your product, and the cloud makes sure clients will have access to it. Knowing what a pain infrastructure can be at the kick-off stage, the maturity of cloud services is probably the single biggest reason for the billions in revenue cloud providers now earn annually.

2. Cost efficiency

However concerned we are with the margins and profits of AWS and the likes, cloud services are definitely more cost-efficient than any hybrid/on-premises alternatives. Yes, it gets more difficult to manage as your business grows, and if you are not vigilant with your infrastructure expenses, this may become a real burden. But, if you start with a frugal approach, you won’t have to worry about this for a long time – long enough to “cross the chasm” and make your business operational.

3. Turn-key services

This is where the real treat starts. Not only do cloud providers give you infrastructure via a “pay as you go” model (as if you were buying extra cellular traffic from your telecom provider), they also offer you native services.


What kind of services? You name it. OCR, video processing, authentication and 2FA, notifications, file storage – whatever you may need to complement your product’s core features, you’ll likely have access to it.


So, when you start using cloud infrastructure, these services will be readily available to you. Moreover, it all starts working surprisingly quickly, resulting in a very happy team, which brings us to the second part of the journey.


What happens next?


Any successful business model has two sides, and cloud services are not an exception. Profits must be coming in, so clients need to spend, ideally, as much as they are willing to and not less. So where does the trouble come from?

1. Buffet

Last year, the total number of services Amazon provided in the scope of their AWS infrastructure was over 150. Today, it already exceeds 200 and counting. The same approach (though slower pace) applies to other large cloud players, such as GCP and Azure.


Does your business need this many services? No. Is it easy to pass up these readily available offerings as time goes on? Absolutely not. 


It’s like finding yourself at the premium buffet. You are not that hungry, but a plethora of delicious food offerings are right there, ready to eat – so you eat. Your infrastructure bill gets inflated frighteningly fast. A couple of zeros can be added to the end of the monthly payment amount in a matter of months.

2. Margins

Cloud infrastructure is an extremely profitable business, partially due to the boom of venture capital, partially due to large players, such as Meta, making it work for themselves. There are various speculations on the actual size of AWS YoY margin, but it is probably safe to assume that it exceeds 65%. Some experts estimate it to exceed 2000% for certain services.


Naturally, such results mean businesses are overpaying, and it is not easy at all to spend less while scaling your business.

3. Cloud vendor lock

This is probably the most dangerous scenario when it is applicable. The more integrated your IT services are into the particular public cloud, the harder it will be to go without. 


It is easy to plan for Kubernetes-first environments, which are portable from public to hybrid to on-premises setups, but maintaining such an approach requires discipline. Each additional cloud service must be reviewed, and the question must be asked: what if we move off this provider later? How much will we lose in terms of turn-key services and what we will do about it? What are the alternatives?

What to do?

How do you benefit from cloud infrastructure but stay agile strategically? You need to invest time into it. Infrastructure, security and compliance must be part of the overall business strategy, and alternatives to the quick wins (such as connecting one more public service) should always be considered. 


Are we more sensitive to the growth of infrastructure cost as our CPU demand grows? Maybe we should consider services like Civo from day one then.


Are we going to scale fast and need a serverless database that scales automatically? We should plan for DynamoDB or Planetscale then, and maybe not for AWS Aurora.


Are we going to store a lot of platform data in files? Should we then maybe consider Wasabi storage and not S3?


Such questions need to be answered in a timely fashion, but more importantly, these questions need to be asked first. This will allow your business to grow in a controlled environment and not be hit with infrastructure and topology issues when you really need to be focusing your efforts somewhere else.


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The Top 10 Skills Needed for a Successful Career and How to Develop Them

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The Top 10 Skills Needed for a Successful Career and How to Develop Them

If you’re a very talented computer scientist or an expert marketing executive or whatever, it doesn’t amount to anything if you don’t have the necessary soft skills to excel in a work environment. These characteristics are called soft skills and can be more important to your career success than you may think.

Soft skills are so respected in the workplace because they help stimulate human connections and ensure everyone works together as efficiently as possible. Recruiters do look out for this during the hiring process and select candidates with high teamwork, collaboration, problem-solving, and critical thinking abilities. 

But not everyone has these skills. Not everyone is an expert communicator or a problem solver, so it’s important to understand how to develop these soft skills. Below, we discuss the top 10 most important skills for career success and how to develop them.


1. Adaptability


In the workplace, things don’t always go as planned. To be successful, you need to know how to be flexible to adjust to changing projects and practices. So instead of digging your heels in, be open to change and know how to quickly pivot.

Change is, obviously, a certainty in business, and acquiring employees who are open to it and are able to adapt quickly is important to the success of the business. Moreover, workers that can adapt to industry shifts as well are incredibly valuable.

To be more adaptable, force yourself to be an early adopter of change and stand out as someone who relishes new challenges. Ask about new training sessions, be open to learning about the reasons for changes, and offer to teach your colleagues what you learn.


2. Communication


Written and verbal communication skills are both incredibly important in any workplace where you are collaborating with colleagues or clients. They also enhance your ability to build relationships with coworkers and your superiors. Knowing how to communicate clearly and effectively will improve your productivity and contribute to an efficient and enjoyable team environment.

While not all of us can communicate optimally right now, ways to sharpen your communication skills include making more detailed notes, listening more, thinking clearly before speaking, and altering your communication practices depending on who you’re talking to.


3. Problem-solving


When something goes wrong, as it often does in the workplace, there are two options, you can either complain or take action. It’s the latter that will put you in the good books of your boss as you knock down all the surprising challenges that present themselves one by one. Knowing how to think quickly and solve problems with creative solutions will make you indispensable to an employer.

While many of us aren’t good at solving puzzles, solving problems is an entirely different thing and one we are all capable of. A good tip is to never bring your manager a problem without also bringing a solution. When a problem presents itself, think through how you’re going to address it and what are the best ways to get around it that have the best outcome.


4. Teamwork


A business’s success rarely depends on one person doing something all by themselves. Success is the result of multiple people working together in harmony toward a shared goal. When workers know how to connect and utilize their various talents, everyone wins. 

Employers select team players because they help build a friendly culture, which helps retain workers and attract the best talent. Similarly, being able to collaborate well with your team boosts overall productivity and the quality of work.

To improve your teamwork ability, pay attention to your colleagues and lend a hand when you see they are struggling. Get to know their strengths and weaknesses, and consider this when working on projects or delegating tasks.


5. Leadership


Developing leadership skills is something that takes time and a lot of practice and gradual progress. Having confidence, a clear vision, and the ability to help positively influence your colleagues to back your ideas is the sign of a good leader. Displaying such leadership skills, even when not acting as a ’leader’ will help you gain visibility in the company, leading to opportunities for promotions and salary increases.

Bosses are always looking for workers with leadership potential because it is always better to hire from within when looking for someone to take over the reins to continue building on the company’s legacy.

Being a good leader isn’t just about getting your colleagues to do what you want. Leadership is all about inspiring people to work towards a shared goal and helping them reach their full potential. There are many ways to enhance leadership skills in businesses. One way is to become an internship supervisor, which presents the opportunity to manage people, learn how to motivate them, and acquire more responsibility.


6. Critical observation


Data doesn’t mean too much if you have no idea how to interpret it. Are there patterns emerging? What should you be looking for? Critically observing information and providing helpful insights from this will make you a very valuable employee.

You will have probably heard of critical thinking; that’s because it is a highly desirable soft skill for employers. Workers who bring a fresh perspective and deliver intuitive solutions to help the company compete in their industry or improve internal processes are hot property.

While we aren’t all analytical, to be a critical observer, you have to be able to analyze information and put the resulting knowledge to use. One helpful tip is to try to identify patterns at work. For example, does your manager actually read the weekly marketing reports? Or maybe they overlooked some key information or a pattern that wasn’t obvious. By looking at the details and easily missed patterns, you can become very valuable within an organization.


7. Conflict resolution


In any business, there will be some form of conflict. Therefore, being able to resolve problems between co-workers will help maintain productivity, relationships with peers, and the general workplace culture and atmosphere.

Being able to constructively and effectively solve disagreements is a certain indicator of maturity and leadership potential. Workers like this help to promote a healthy, enjoyable, and collaborative workplace.

Tackling problems head-on is the best way to improve this soft skill. The best way to resolve disputes between colleagues is to address issues straight away, directly but delicately. So, when acting as a mediator, let both parties voice their grievances and then work together to find an appropriate solution that is accepted by all parties.


8. Organization


This soft skill includes the ability to keep your physical and digital spaces clean as well as the capacity to effectively plan, schedule, and prioritize. Good organization can help you save time, produce better work, prevent miscommunications and improve efficiency. Many people aren’t naturally organized, however. In this case, it’s a good idea to start trying to plan your day with a calendar, keep track of deadlines and take lots of notes so as to not forget anything. 


9. Work ethic


This is a crucially important skill when it comes to the workplace. It includes working hard, primarily, but also responsibility, reliability, quality, perseverance, and discipline. People with a good work ethic are the most productive and tend to have a positive attitude to work. This isn’t really something that can be developed but is heavily influenced by the work that you’re doing. If you are in a line of work that you really enjoy, your work ethic will improve as you are excited to learn and progress. 


10. Creativity

Creativity may not be at the top of the list for employers, but having strong creativity will help with many of the other soft skills, including problem-solving and conflict resolution. Your job will most likely require you to think of ideas to improve products and processes, or to help colleagues find innovative solutions to work-related problems. Coming up with creative solutions to fulfill a certain business need or creating innovative processes that help the company move forward will help cement you as a creative genius within your organization.


Mastering these fundamental skills can lead to promotions, salary raises, and more job offers if you’re currently searching for a job. The majority of employers will ask specific questions to identify if candidates possess these desirable, transferable skills. Some of these you will naturally have, but some you will need to improve. Make the most of your workplace by seeking further development opportunities. Perhaps you could take on more responsibility, lead on a project, or task yourself with solving a complex problem.  These essential skills can lead you to a very successful career if properly honed.


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Configuring and scaling data platforms when doing cloud native application development

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Configuring and scaling data platforms when doing cloud native application development

To succeed in evolving, software-driven markets, organizations must optimize the way they design, build, and use applications and data platforms. Along with increasingly popular cloud-native applications, data platforms are a big part of companies’ cloud infrastructure as a whole and, therefore, are an integral component of their cloud native application development cycle.


Faced with immense and ever-growing amounts of data being generated at quicker and quicker rates, software developers need to pay particular attention to the scalability of their data platforms and applications. This is one reason why K3s has become so popular, as it improves the flexibility and scalability of cloud native applications due to its lightweight container properties and minimal resource requirements, differentiating it from K8s. They must also design and configure platforms and cloud native applications that can handle an increasing number of concurrent users. It’s not easy and is a constant challenge, but developing for scalability is an indisputable necessity.


What is a data platform?


While we have looked at cloud native application development in previous blog posts, we haven’t considered the data platform which some consider to be the backbone of the modern, data-focused, cloud infrastructure.


A data platform is a comprehensive and necessary solution for consuming, processing, analyzing, and presenting data created by the many systems, applications, processes, and infrastructures of the contemporary digital enterprise. While there are a plethora of solutions and tailor-made applications for managing various aspects of the data lifecycle effectively, a true data platform ensures end-to-end data management.


A data platform goes much further than providing simple business intelligence statistics. While it does deliver relevant data to enhance an enterprise’s decision-making, a true data platform collects and organizes many more types and configurations of data across the company, including not only integral data used for security and privacy, but also technical IT operations data. Essentially, a complete data platform has the ability to manage ALL the data a company ingests or generates.


Data platforms are composed of data storage, servers, and data architecture. Aside from that, there are data consumption needs, data consolidation, and the ETL procedure.

Businesses routinely face challenges with data management as a whole, including the consolidation of diverse data types stored in various silos, cloud and on-premise servers. This is where effective data platforms show their worth.

The purpose of a data platform is to provide real-time insights through detailed analytics in a scalable, cost-efficient, and secure way. The most efficient data platforms can be held across distant geographies and in hybrid-cloud environments to strengthen business continuity plans. 


For a definition of cloud native applications, see this article


Why data platforms need to be built and configured for scale


Today, the majority of the fastest-growing and most successful businesses are data-driven in some way or another. From more online visitors to an increased desire for analytics, one way or another, data is always being generated that needs to be securely stored. While data frequently appears to be the answer to many business problems, its formidable nature, from its assortment of technologies, skill sets, tools, and platforms, can be complicated and hard to manage. 

Data’s complexity and businesses’ raised demand for it is an added challenge as it becomes more challenging to prioritize, grow the team, recruit leading talent, keep costs down, and satisfy clients and stakeholders. 


Whatever the reason for scaling a data platform, whether that be for an increased user or data volume, there are two many strategies: Vertical and Horizontal.


Vertical Scaling

Possibly the most straightforward way to scale is to do so vertically – deploy on a more advanced cloud server with more CPU power and memory. 

However, there are functional limitations to what can be accomplished through vertical scaling alone. Firstly, even the best machines and cloud servers may not be able to tolerate the immense data volumes and workloads required by modern cloud native applications. Secondly, the power and capacity required to effectively operate the necessary data platform will probably not be too cost-effective. 

Capacity management for single-server architectures can also be challenging, particularly for data platform solutions that will have inconsistent workloads. Having the capacity to manage peak loads could result in wasteful underutilization throughout off-hours. In contrast, having too little server capacity may cause performance to slow significantly during high usage. Moreover, expanding the capability of a single server architecture implies buying an entirely new machine or expanding cloud server storage.

In short, while it is crucial for cloud native applications and data platforms to utilize the full potential of the hardware or server on which it was deployed, vertical scalability on its own isn’t enough to achieve anything above the most stationary workloads.


Horizontal Scaling

For the reasons provided above, most institutions pursuing considerable scalability for their data platform will deploy on hybrid cloud architectures, scaling workloads and data volumes “horizontally” by spreading the load across multiple servers. Utilizing K8s, developers have found this to be most effective with the added benefit of more secure cloud storage.

Software developers will understand that no two workloads are identical. Some modern cloud native applications may be used by millions of users concurrently, with a lot of small transactions per second. Others may have only hundreds of users, but with petabytes worth of data. Both scenarios are very taxing workloads, but they demand different scalability strategies.




With constantly increasing amounts of data being generated, from more data-intensive apps and at quicker rates, developers are now required to pay particular attention to scalability when designing and building their data platforms and cloud native applications. Developers are primarily utilizing vertical and horizontal scaling methods to achieve this scalability by moving to a more advanced cloud architecture or spreading the load with a hybrid model.




Git Kubernetes, or git revert, is now one of the most popular commands among developers for its universal undo function. It doesn’t completely reverse the original command, however, as it is related to a specific commit. It doesn’t take away a commit from the versions history, alternatively, it creates a new commit with inverted content, reverting the project to the former state before the commit.


Soon, we will begin posting content on the ever-popular GitHub.


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Top 10 DevOps Things to Be Grateful for in 2022

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Top 10 DevOps Things to Be Grateful for in 2022



After a year of hardship caused by the global pandemic, we thought we’d start off 2022 by looking back at one of the things that made 2021 bearable, DevOps.


This amalgamation of practices, cultural philosophies, and tools has continued to evolve since its inception in 2007, automating and integrating timely and complex processes that exist between IT and development teams. 


This cultural shift in collaboration and working practices has accelerated software development and deployment dramatically, allowing organizations to deliver high-quality services and applications at a faster rate to better serve their customers and surpass their competition.


The benefits are truly endless, but we’ll do our best to point out the top 10 things to be grateful for when it comes to DevOps.


Improved Agility and Efficiency


The overall increase in agility and efficiency that DevOps provides in both proactive and reactive scenarios is something that organizations are extremely grateful for. In the cut-throat world of software and app development, the difference between success and failure could come down to a little update being released a day or so earlier. 

DevOps’ key attributes that facilitate this improvement in efficiency, namely microservices, GitOps, and containerization, provide a key advantage in modern business scenarios. The agility and modularity provided by DevOps ensure consistently quick responses to unpredictable requirements, a critical component of a successful infrastructure. 


Dismantling Silos


A typical IT department contains certified professionals who specialize in four or five disciplines. DevOps helps to eliminate the barriers between various teams and sub-teams like development and operations, for example.

Thanks to DevOps, the obsolete, linear operation that involved one team completing their tasks and then passing it on to another team to complete their tasks is no more. Now, the approach to development and deployment is much more flexible, enabling It departments to be more responsive to changes in market conditions.


Digital Transformation


Business operations of all kinds across a variety of sectors are experiencing digital transformations being driven by technological innovation. Resourceful digital services that are intended to improve the customer experience, as well as employee productivity, are constantly being created. Software is at the center of this transformation, and DevOps is facilitating it.

DevOps is essential for the timely delivery of high-quality digital services. As digital transformations continue their successful upward trajectory, organizations all over the world should be very grateful for DevOps. It could even be said that the many benefits of its adoption truly come down to the fact that it’s a critical component in successful digital transformations. 




Created by Google, this vastly functional and highly complex IT platform has cemented itself as a key component of DevOps. It is now the gold standard for creating, deploying, scaling, and modifying containerized cloud-based applications. The utility it provides to both large multinational corporations and SMEs to seamlessly up or downscale depending on IT and cloud infrastructure is remarkable. While it can become more accessible, plenty of IT engineers should be very grateful for the existence of Kubernetes.


Improved Stability and Quality


For organizations that have embraced DevOps, each team member is responsible for creating an application or piece of software that functions as intended. Regardless of the department – quality, stability, performance, UX, security, and marketing are shared goals and responsibilities. 

DevOps as a practice ensures everything is always under control – every alteration is tracked and everyone understands the influence on quality each release has. Therefore, while DevOps makes software delivery faster, it also improves stability and quality. 

One prominent indicator of this attribute is its ability to drive frequent, high-quality releases, which also implies finding and resolving issues quicker, finally resulting in more time to focus on quality and innovations.

Increased Productivity Through Teamwork


At its core, DevOps is about working together, and quickly, to reap the rewards of its tools. Reexamining the availability of staging servers, how tasks are separated between developers, QA, and ops, etc. can have a significant impact on business performance and success. 

Aside from the excellent tools associated with it, DevOps introduces a set of work practices that add efficiency and discipline to the software development process.



GitOps is an operating model for cloud-native development used for automation that provides a collection of best practices that unify stages of the application and containerized cluster lifecycle. Recently becoming a key component of DevOps, it helps organizations consistently meet delivery goals. With operational efficiency and proficiency becoming increasingly aligned with delivering quality software, incorporation of GitOps has become essential to compete in the market. 

Optimized Processes


By replacing the slow, flawed traditional waterfall process with a constant pipeline between development-operations, teams adapt to releasing small changes more frequently, are able to catch problems in close to real-time, and respond with quick, proactive solutions. 

Cost Savings


A firm focus on quality and performance throughout the development and maintenance lifecycle ensures DevOps teams prevent entrenched issues from causing long-lasting damage. Avoiding timely and unnecessary reworks that could cross over into customer satisfaction, etc. results in enhanced profitability and a competitive advantage.

With DevOps enabling automation and productivity, lean DevOps teams are more likely to persist. Additionally, automation clears the need for specialists. Businesses can train generalists across DevOps disciplines without having to pay premium rates. 

Improved ROI of Data


Another financial benefit provided by DevOps is the improved ability for organizations to translate data into money faster than before. Businesses should be very grateful for saved time and money thanks to DevOps processes automating Big Data tools. It is also possible to recover costs quickly and significantly reduce response time, improving overall profitability.


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Why good devops still exists in 2022 and how it influences your business

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Why good devops still exists in 2022 and how it influences your business

Infrastructure management has always existed to some extent. Back in the 1980-90s, it was about finding space for all those servers and addressing basic availability demands. As with other aspects of IT, it has evolved exponentially since then. Mysterious system administrators who would silently appear out of nowhere to make your PC and Outlook work in the local network are still there, however, they are now joined by an already established and well-known group of “devops” – not exactly developers, but not system administrators either.


This new profession evolved alongside IT. When people do something again and again, they tend to automate it. In programming, this resulted in the introduction of such concepts as patterns, then Bootstrap, and other language-specific frameworks. In infrastructure management, various concepts have been developed, including cloud computing, active-active data center setups, and on-demand cloud services. This is when devops as an area of expertise became a reality.


So why are devops needed (and are they really?) since it can almost always be semi-covered by a regular engineer’s efforts? Whether it is worth your time and effort very much depends on your business model and your goals, but there are a few classic use cases – and if you find yourself in a situation similar, it might be worth thinking it over.

CTO use case

This use case applies when you or your CTO need to explicitly empower the development team and ensure everyone is focused on the product delivery and addressing business needs as fast as possible.


You need to deliver the product but releases are taking time, and the faster you go, the more time they tend to take. Why can’t we just release small increments every few hours? Cloud services that are supposed to make it work out of the box somehow do not seem to apply to some crucial specifics of your architecture. You need it to be “slightly different”, so you end up with a mountain of release work, CI/CD work, environment management, and those sorts of things which are quite hard to justify to your sales team when explaining why a new premium feature gets delayed.


Moreover, your engineers are telling you it may not have been their job to renew that suddenly expired SSL certificate during the night. You push or apply some temporary measures but HR starts raising the topic of attrition and the learning curve for newcomers.


We could go on and on, but the bottom line is, you clearly need a devops function here so you could see and control how it’s done while focusing on what’s most important – building your product and beating the competition. 


Compliance (regulation) use case

There is a common saying that goes – “if regulators start paying attention to your business, you can open the champagne, success has arrived”. It could be frustratingly different, however. A data privacy or KYC-related penalty notification has been delivered, and the amount mentioned there somehow exceeds your annual gross revenue.


Making your data and your infrastructure processing compliant is a relevant matter from day one. Leading cloud providers claim that if you use their infrastructure, your business will be compliant by default. Unfortunately, this is rarely the case. Your business is your business, and it is by definition unique and competitive, otherwise, you would not have started it.


So it needs to be controlled and thought through, and not only with regard to how you store or process your own data, but also which services or suppliers you employ and how they operate.


Such audit and mitigation actions usually start from architecture and topology analysis performed by infrastructure specialists, CISO, or security experts which we also consider to be part of the devops world. In most cases, the resulting mitigations are simple and cheap, just as most things are usually simple when done in a timely manner.


Scaling and cost-effectiveness use case

When an MVP version of your product was started, performance and scaling concerns were raised, but the product-market fit was really the most critical topic.


So the fit was found and the conversion numbers are going up pleasantly. You just need a couple more environments for demos though, as there are a few large enterprises who are considering buying but need just one more demo for another stakeholder. Also, they have been asking if they could install your platform on their premises and you’ve got just two environments in AWS now, which are working just fine so far. After a few months, your whole development team is busy making five environments that are stable for Sales demos while making the platform AWS-agnostic (their cloud functions and OCR service came in really handy in those early MVP days). Meanwhile, a client-specific feature has been delayed for another month and you are losing valuable tempo.


Here’s another example – your app has been featured on App Store’s “Our Favorites” list. The next day, your backend has been down several times and is still recovering. It’s hard to estimate how many premium conversions were missed. You have called infrastructure support, and they recommended you to “raise a ticket”. 


Scaling, high availability, disaster recovery rehearsals, and flexible regional deployments may become relevant for your business much earlier than you expect. If you manage the cost vigilantly and plan for maturing and optimizing your platform design, you are likely to enjoy (and be ready for) exponential growth much sooner than your competition expected.

Devops’ impact grows along with the rate of IT automation

The pace of IT development has grown tremendously in the past 15-20 years. What had to be done completely from scratch each time back in 2004,  is now entirely in the hands of an engineer on the first day of any product development. But this velocity comes with its own demands: there are other roles and areas that require attention so that everyone can do their job effectively, and the business grows in a secure, compliant, and easily scalable manner.

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