Adam Miller, Author at Ostride Labs
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Configuring and scaling data platforms when doing cloud native application development

OSTRIDE_Configuring and scaling

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.

 

Conclusion

 

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.

 

Footnote:

 

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. 

 

Kubernetes

 

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 

 

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

why devops exists Ostride Labs

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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10 Ways to Successfully Promote Your Product

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10 Ways to Successfully Promote Your Product

 

So, you’ve created an app or online store, you have the perfect product, and now, you need to tell people about it. Or, you have dozens of good ideas, but you can’t decide what exactly you want to achieve. This is where effective marketing can help.

 

Attractive product ads help you target specific audiences and leverage strategic campaigns to drive demand and sales.

 

There are several effective marketing techniques:

 

1. Set a goal

If you know exactly what you want to promote, you can skip this paragraph, but we would recommend reading it just in case.

 

First, you must decide what to promote. Set a goal for yourself to identify not only a useful product, but a product necessary for the market. Ask yourself this question:

 

What does the market need now?

 

It is common for companies to create a product that they do not know how to sell because it is simply not in demand in the market.

 

Once your goal is set and the product is found, you can move on.

 

2. Position your product

 

To showcase your product effectively, you should accurately situate it in the market. This requires knowing your product inside out.

Here are some questions to help you get started:

 

What is this product for?

What makes this product unique? 

What makes this product better than similar products on the market? 

What problem does this product solve?

Why should people trust this particular product?

 

Hint: don’t forget to utilize the additional selling points that you can offer or that your product has. For example, fast shipping, guarantees, and memberships.

 

3. Recognize your audience

 

To promote a product well, you need to understand the audience you are targeting. Divide the audience according to their interest in the issues related to the promoted product and their behavior. This will allow you to gain a better understanding of how your product meets their needs and how best to target them. To sell your product effectively, it is required that the customer be much narrower than your target audience.

 

4. Study your competitors

 

There is continuous competition between brands in each market to show who can best research, attract, convert and retain customers. Therefore, it is good to know what your competitors are doing so you can do it better.

 

Study your competitors to see how similar or different your products are, who they sell to, how they sell, and how successful they are.

 

Note: their target audience can also reveal gaps in your own.

 

5. Determine the correct cost

 

The price of your product gives it a status, a specific audience, and competitors. Consider your product, audience, and competitor research when determining the ideal price for your product, as well as product value and profit margins.

 

The main factor behind the cost of your product should be what is necessary to support your business. Assuming products are set at a high price and potential customers are not buying them, you will lose a valuable piece of the entire industry. Assuming you have set a low price, you will be selling at a loss or with an impractical total return. This will force you to try to grow and scale to achieve profit, or change the price of your product first.


6. Create a marketing strategy for your product

 

As with all marketing campaigns, you will need to plan your strategy and identify:

 

Where to start?

What does it need to include?

What happens if it goes wrong?

 

The marketing strategy for your product will utilize all the information you have, and entails creating ads and content, building marketing campaigns, and using unique marketing tactics.

 

7.  Use online or digital marketing

 

Utilize tools that involve the connection of ad network technologies: SEO, SMM, SEA, etc. The list is endless, but the meaning does not change – tell potential customers about your product on all available sites.

 

8. Decide on a KPI

 

Choose the performance indicators that measure the achievement of your specific goals. Importantly, choose indicators with the intention of adjusting your advertising campaigns in the process. At this stage, you need to understand what to watch out for and what should never be forgotten.

 

9. Build your reputation

 

When it comes to solving problems or eliminating negativity, not every company will respond appropriately. Divide criticism into constructiveness and “noise”. Track all reviews of the company. A high ranking is appreciated, not only by users, but by search engines. For example, Google ranks businesses based on their local search scores and Google Maps.

 

10. Don’t forget about analytics

 

In some cases, this is the only possible option to get information about products sold. However, here, we are faced with two problems at once. Firstly, the data may be provided incorrectly, since not all sites provide protection against bots. Secondly, data from different sources may not match because one source is updated later.

 

Conclusion

 

By promoting your product, or trying to determine which product you want to promote, there are some basic steps you need to follow. They will not only help your business generate profits, but also build a strong reputation. For example, your marketing strategy may be based not only on the current aspects of your business, but the image and values ​​of your brand, which itself will affect the promotion of the product if it was drafted correctly.

 

Follow these simple steps and questions, or better, bookmark them so you don’t get lost, and re-read from time to time to make sure you’re heading in the right direction.

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How you can establish SaaS security thresholds when doing Cloud Native Application Development

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How you can establish SaaS security thresholds when doing Cloud Native Application Development

Cloud-native applications have been pinned as the future of software development due to their steady increase in proliferation over recent years. The Cloud-Native Computing Foundation calculated that there were about 6.5 million cloud-native developers active in 2020, a marked increase from 4.7 million in 2019.

 

New technologies used for developing cloud applications, including Kubernetes, containers, and serverless architectures, are changing the way companies build and deploy them. While the steady growth of cloud-native SaaS applications has accelerated the pace, efficiency, and success of business, this modern approach to development has introduced a myriad of new cloud security concerns. 

 

While cloud-native applications are inherently more beneficial than their on-premise counterparts, These new sets of security risks can’t be mitigated by applying traditional approaches to SaaS security. 

 

So, how can you establish effective SaaS security thresholds while doing cloud-native application development? 

 

What are cloud-native applications?

 

First, let’s remind ourselves of what ‘cloud-native’ refers to and what cloud-native applications are.

 

Cloud-native is a contemporary approach to creating, deploying, and running software applications that utilize the resilience, flexibility, and scalability of cloud computing. ‘Cloud-native’ comprises the different tools and techniques used by developers to create applications for the public cloud, rather than the conventional architectures suited to private data centers.

 

A cloud-native application, therefore, is one that is designed and built specifically for a cloud computing architecture. They are run and hosted in the cloud and are developed to leverage the intrinsic characteristics of a cloud computing software delivery model. 

 

Cloud-native applications utilize a microservice architecture that efficiently distributes resources to each service that the application uses, making it incredibly flexible and adaptable to a range of cloud architectures.

 

Satisfy both security and development objectives

 

The benefits of cloud-native application development are limitless, however, a lack of security continues to be one major problem. Modern development approaches and technologies, such as CI/CD, containers, and serverless, demand effective security that delivers immediate protection, earlier detection, and assurance that an organization’s cloud services fulfill security best practices, all while preserving speed and efficiency. 

 

 

Migrated security infrastructures aren’t cutting it 

 

Migrating applications to the cloud from traditional IT systems does not mean that organizations should accept a more vulnerable security stance in return for the conveniences and additional benefits that cloud computing provides.

 

There isn’t anything inherently less secure about public cloud infrastructures. In fact, cloud providers such as Google and Amazon adhere to the highest standards of security and compliance, taking their ‘shared responsibility’ very seriously, often exceeding what most private enterprises could maintain in their data centers. 

 

Security problems emerge from how businesses configure and use public clouds, especially SaaS (software as a service), IaaS (infrastructure as a service), and PaaS (platform as a service). Conventional application security measures often don’t work very well when using serverless or container architectures to create cloud-native applications.

 

Developers are adopting new codes of practice and techniques to establish effective security thresholds, as it’s clear that the key to this lies in the development phase of cloud-native applications.

 

How to establish SaaS security thresholds during application development – 3 steps

 

  1. Establish security infrastructure throughout development 

Before DevOps, dedicated security teams gave late-stage assessments and guidance before applications moved from the development phase into systems running in production. Security was frequently only considered toward the back end of development, creating substantial delays if issues emerged that required fundamental changes to the application. This attitude toward security is no longer acceptable in today’s more agile, cloud-focused development models, where efficiency, speed, and automation are key.

 

Developers are constantly under pressure to design, build, and launch applications quicker than ever and to frequently update them through automated procedures. To continually achieve these lofty goals, organizations now deploy applications developed on containers and functions straight into production, handling and overseeing them with orchestration tools like Kubernetes, and running them in the cloud. Consequently, productivity increases, but so does the security risk.

 

Hitting a balance between speed and effective security requires senior-level security officers to implement strategies to proactively address cloud-native security requirements with developers to make sure security infrastructures are thoroughly integrated into the software development lifecycle. Moreover, this allows businesses to catch security issues earlier in development without slowing down production.  

  1. Empower your developers the necessary tools 

Many companies still depend on traditional security instruments that can’t handle the speed, scale, and dynamic networking conditions of containers. The addition of modern, serverless functions heightens the problem by further abstracting infrastructure to supply a straightforward execution environment for microservices and applications. 

 

Cyber attackers search for misconfigured cloud infrastructure permissions and vulnerabilities in the serverless function code to reach services or networks that hold private information.

 

Enterprises can use CI/CD tools like Bamboo, Jenkins, and Azure DevOps to continuously develop, test, and ship applications. When utilizing containers to deploy cloud-native applications, developers can exploit base images and elements from internal and external repositories to accelerate their work.

 

Despite that, even container images from trusted and authorized repositories could possess vulnerabilities that can expose applications to attacks. The solution, and best first line of defense, is to provide developers and security teams with the necessary tools and techniques to block non-compliant images within the CI/CD pipeline.

 

Scanning images for vulnerabilities and malware in the development phase allows application developers and security teams to enforce the enterprises’ image assurance policies, block non-compliant images, and warn the developers of possible threats.

  1. Shared Responsibility

Another thing to consider is that the security of the application is somewhat reliant on the cloud provider. Moreover, due to the ‘shared responsibility model’, developers and security teams bear an extra burden when securing their application.

 

Organizations need to accept the new reality that specific aspects of security will need to be managed by their cloud provider, and others will remain with them. For example, Google takes the Shared Responsibility Model seriously and has invested heavily into it. This model allocates security of the cloud to the provider, who then tasks the customer (organization) with security in the cloud.

 

Specifics can change from provider to provider and service to service, but typically, the customer accepts responsibility and control of the guest operating system, including security updates and patches, as well as any other related software and the configuration of the cloud server. Ultimately, it’s a joint effort to achieve secure cloud-native applications and secure cloud storage.

 

Understanding and accepting this shared responsibility is essential to any cloud-native application developer establishing security thresholds during development. Not only important as a model for combined cloud maintenance and preservation, but also during the development cycle as developers can easily implement security thresholds and infrastructures using Kubernetes (GKE) specifically designed for cloud-native environments. Businesses should also understand that the security measures put in place by the cloud provider do not absolve them from their own accountabilities.

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