HybridCloud

That awkward moment when On-Prem is cheaper

Let’s be honest. For the better part of a decade, the public cloud has been the charismatic, free-spending friend who gets you out of any jam. Need to throw a last-minute party for a million users? They’ve got the hardware. Need to scale an app overnight? They’re already warming up the car. It was fast, it was elastic, and it saved you from the tedious, greasy work of racking your own servers. The only price was a casual, “You can pay me back later.”

Well, it’s later. The bill has arrived, and it has more cryptic line items than a forgotten ancient language. The finance department is calling, and they don’t sound happy.

This isn’t an angry stampede for the exits. Nobody is burning their AWS credits in protest. It’s more of a pragmatic reshuffle, a collective moment of clarity. Teams are looking at their sprawling digital estates and asking a simple question: Does everything really need to live in this expensive, all-inclusive resort? The result is a new normal where the cloud is still essential, just not universal.

The financial hangover

The cloud is wonderfully elastic. Elastic things, by their nature, bounce. So do monthly statements. Teams that scaled at lightning speed are now waking up to a familiar financial hangover with four distinct symptoms. First, there’s the billing complexity. Your monthly invoice isn’t a bill; it’s a mystery novel written by a sadist. Thousands of line items, tiered pricing, and egress charges transform the simple act of “moving data” into a budget-devouring monster.

-- A query that looks innocent but costs a fortune in data egress
SELECT
    event_id,
    user_id,
    payload
FROM
    user_events_production.events_archive
WHERE
    event_date BETWEEN '2025-07-01' AND '2025-07-31'
    AND region != 'eu-central-1'; -- Oh, you wanted to move 5TB across continents? That'll be extra.

Second is the unpredictable demand. A few busy weeks, a successful marketing campaign, or a minor viral event can undo months of careful savings plans. You budget for a quiet month, and suddenly you’re hosting the Super Bowl.

Then come the hidden multipliers. These are the gremlins of your infrastructure. Tiny, seemingly insignificant charges for cross-AZ traffic, managed service premiums, and per-request pricing that quietly multiply in the dark, feasting on your budget.

Finally, there’s the convenience tax. You paid a premium to turn the pain of operations into someone else’s problem. But for workloads that are steady, predictable, and bandwidth-heavy, that convenience starts to look suspiciously like setting money on fire. Those workloads are starting to look much cheaper on hardware you own or lease, where capital expenditure and depreciation replace the tyranny of per-hour-everything.

The gilded cage of convenience

Cloud providers don’t lock you in with malice. They seduce you with helpfulness. They offer a proprietary database so powerful, an event bus so seamless, an identity layer so integrated that before you know it, your application is woven into the very fabric of their ecosystem.

Leaving isn’t a migration; it’s a full-scale renovation project. It’s like living in a luxury hotel. They don’t forbid you from leaving, but once you’re used to the 24/7 room service, are you really going to go back to cooking for yourself?

Faced with this gilded cage, smart teams are now insisting on a kind of technological prenuptial agreement. It’s not about a lack of trust; it’s about preserving future freedom. Where practical, they prefer:

Open databases or engines with compatible wire protocols.
Kubernetes with portable controllers over platform-specific orchestration.
OpenTelemetry for metrics and traces that can travel.
Terraform or Crossplane to describe infrastructure in a way that isn’t tied to one vendor.

This isn’t purity theater. It simply reduces the penalty for changing your mind later.

# A portable infrastructure module
# It can be pointed at AWS, GCP, or even an on-prem vSphere cluster
# with the right provider.

resource "kubernetes_namespace" "app_namespace" {
  metadata {
    name = "my-awesome-app"
  }
}

resource "helm_release" "app_database" {
  name       = "app-postgres"
  repository = "https://charts.bitnami.com/bitnami"
  chart      = "postgresql"
  namespace  = kubernetes_namespace.app_namespace.metadata[0].name

  values = [
    "${file("values/postgres-prod.yaml")}"
  ]
}

A new menu of choices

The choice is no longer just between a hyperscaler and a dusty server cupboard under the stairs. The menu has expanded:

Private cloud: Using platforms like OpenStack or Kubernetes on bare metal in a modern colocation facility.
Alternative clouds: A growing number of providers are offering simpler pricing and less lock-in.
Hybrid models: Keeping sensitive data close to home while bursting to public regions for peak demand.
Edge locations: For workloads that need to be physically close to users and hate round-trip latency.

The point isn’t to flee the public cloud. The point is workload fitness. You wouldn’t wear hiking boots to a wedding, so why run a predictable, data-heavy analytics pipeline on a platform optimized for spiky, uncertain web traffic?

A personality test for your workload

So, how do you decide what stays and what goes? You don’t need a crystal ball. You just need to give each workload a quick personality test. Ask these six questions:

Is its demand mostly steady or mostly spiky? Is it a predictable workhorse or a temperamental rock star?
Is its data large and chatty or small and quiet?
Is latency critical? Does it need instant responses or is a few dozen milliseconds acceptable?
Are there strict data residency or compliance rules?
Does it rely on a proprietary managed service that would be a nightmare to replace?
Can we measure its unit economics? Do we know the cost per request, per user, or per gigabyte processed?

Steady and heavy often wins on owned or leased hardware. Spiky and uncertain still loves the elasticity of the hyperscalers. Regulated and locality-bound prefer the control of a private or hybrid setup. And if a workload gets its superpowers from a proprietary managed service, you either keep it where its powers live or make peace with a less super version of your app.

What does this mean for you, Architect

If you’re a DevOps engineer or a Cloud Architect, congratulations. Your job description just grew a new wing. You are no longer just a builder of digital infrastructure; you are now part financial planner, part supply chain expert, and part treaty negotiator.

Your playbook now includes:

FinOps literacy: The ability to connect design choices to money in a way the business understands and trusts.
Portability patterns: Designing services that can move without a complete rewrite.
Hybrid networking: Weaving together different environments without creating a haunted house of routing tables and DNS entries.
Observability without borders: Using vendor-neutral signals to see what’s happening from end to end.
Procurement fluency: The skill to make apples-to-apples comparisons between amortized hardware, managed services, and colocation contracts.

Yes, it’s time to carry a pocket calculator again, at least metaphorically.

The unsexy path to freedom

The journey back from the cloud is paved with unglamorous but essential work. It’s not a heroic epic; it’s a series of small, carefully planned steps. The risks are real. You have to account for the people cost of patching and maintaining private platforms, the lead times for hardware, and the shadow dependencies on convenient features you forgot you were using.

The antidote is small steps, honest metrics, and boringly detailed runbooks. Start with a proof-of-concept, create a migration plan that moves slices, not the whole cake, and have rollback criteria that a non-engineer can understand.

This is just a course correction

The Great Cloud Exit is less a rebellion and more a rationalization. Think of it as finally cleaning out your closet after a decade-long shopping spree. The public cloud gave us a phenomenal decade of speed, and we bought one of everything. Now, we’re sorting through the pile. That spiky, unpredictable web service? It still looks great in the elastic fabric of a hyperscaler. That massive, steady-state analytics database? It’s like a heavy wool coat that was never meant for the tropics; it’s time to move it to a more suitable climate, like your own data center. And that experimental service you spun up in 2019 and forgot about? That’s the impulse buy sequin jacket you’re never going to wear. Time to donate it.

Treating workload placement as a design problem instead of a loyalty test is liberating. It’s admitting you don’t need a Swiss Army knife when all you have to do is turn a single screw. Choosing the right environment for the job results in a system that costs less and complains less. It performs better because it’s not being forced to do something it was never designed for.

This leads to the most important outcome: options. In a landscape that changes faster than we can update our résumés, flexibility is the only superpower that truly matters. The ability to move, to adapt, and to choose without facing a punishing exit fee or a six-month rewrite, that’s the real prize. The cloud isn’t the destination anymore; it’s just one very useful stop on the map.

Hybrid Cloud vs Multicloud which strategy is right for you

Cloud computing has been a game-changer, enabling businesses to scale, innovate, and deliver services at a pace once thought impossible. Most companies begin their journey with a single public cloud provider, which serves them well initially. But as a business grows and its needs become more complex, that single-cloud environment often starts to feel restrictive. The one-size-fits-all solution no longer fits.

This is the point at which organizations reach a critical crossroads. The path forward splits, leading toward two powerful strategies that promise greater flexibility, resilience, and freedom: Hybrid Cloud and Multicloud. Let’s unpack these two popular approaches to help you decide which journey is right for you.

When one Cloud is no longer enough

Before diving into definitions, it’s important to understand why businesses are looking beyond a single provider. This isn’t a trend driven by technology for technology’s sake; it’s a strategic evolution fueled by practical business needs.

The core drivers are often a desire for more control over sensitive data, the need to avoid being locked into a single vendor’s ecosystem, and the goal of building a more resilient infrastructure that can withstand outages. As your organization’s digital footprint expands, relying on one provider can feel like putting all your eggs in one basket, a risky proposition in today’s fast-paced digital economy.

Understanding your two main options

Once you’ve decided to expand your cloud strategy, you’ll encounter two primary models. While they sound similar, they solve different problems.

A Hybrid Cloud approach is like having a custom-built workshop at home for your most specialized, delicate work, while also renting a massive, fully-equipped industrial space for heavy-duty production. It’s a mixed computing environment that combines a private cloud (usually on-premises infrastructure you own and manage) with at least one public cloud (like AWS, Azure, or Google Cloud). The two environments are designed to work together, connected by technology that allows data and applications to be shared between them.

A Multicloud strategy, on the other hand, is like deciding to source ingredients for a gourmet meal from different specialty stores. You buy your bread from the best artisan bakery, your cheese from a dedicated fromagerie, and your vegetables from the local farmer’s market. This approach involves using services from multiple public cloud providers at the same time. The key difference is that these cloud environments don’t necessarily need to be integrated. You simply pick and choose the best service from each provider for a specific task.

The hybrid approach is a blend of control and scale

Opting for a hybrid model gives an organization a unique balance of ownership and outsourced power. It’s a popular choice for good reason, offering several distinct advantages.

Flexibility in workload placement

Hybrid setups allow you to run applications and store data in the most suitable location. For example, you can keep your highly sensitive customer database on your private, on-premises servers to meet strict compliance rules, while running your customer-facing web application in the public cloud to handle unpredictable traffic spikes. This ability to “burst” workloads into the public cloud during peak demand is a classic and powerful use case.

Regulatory compliance and security

For industries like finance, healthcare, and government, data sovereignty and privacy regulations (like GDPR or HIPAA) are non-negotiable. A hybrid cloud allows you to keep your most sensitive data within your own four walls, giving you complete control and making it easier to pass security audits. It’s the digital equivalent of keeping your most important documents in a personal safe rather than a rented storage unit.

Enhanced resilience

A well-designed hybrid model offers a robust disaster recovery solution. If your local infrastructure experiences an issue, you can failover critical operations to your public cloud provider, ensuring business continuity with minimal disruption.

However, this approach isn’t without its challenges. Managing and securing two distinct environments requires a more complex operational model and a skilled IT team. Building the “bridge” between the private and public clouds requires careful planning and the right tools to ensure seamless and secure communication.

The multicloud path to freedom and specialization

A multicloud strategy is fundamentally about choice and avoiding dependency. It’s for organizations that want to leverage the unique strengths of different providers without being tied to a single one.

Avoiding vendor lock-in

Dependency on a single provider can be risky. Prices can rise, service quality can decline, or the vendor’s strategic direction might no longer align with yours. Multicloud mitigates this risk. It’s like diversifying your financial investments instead of putting all your money into one stock. This freedom gives you negotiating power and the agility to adapt to market changes.

Access to best-of-breed services

Each cloud provider excels in different areas. AWS is renowned for its mature and extensive set of services, Google Cloud is a leader in data analytics and machine learning, and Azure offers seamless integration with Microsoft’s enterprise software ecosystem. A multicloud strategy allows you to use Google’s AI tools for one project, Azure’s Active Directory for identity management, and AWS’s S3 for robust storage, all at the same time.

Improved global scalability

For businesses with a global user base, multicloud enables you to choose providers that have a strong presence in specific geographic regions. This can reduce latency and improve performance for your customers, while also helping you comply with local data residency laws.

The primary challenge of multicloud is managing the complexity. Each cloud has its own set of APIs, management tools, and security models. Without a unified management platform, your teams could find themselves juggling multiple control panels, leading to operational inefficiencies and potential security gaps. Cost management can also become tricky, requiring careful monitoring to avoid budget overruns.

How to chart your Cloud course

So, how do you decide which path to take? The right choice depends entirely on your organization’s specific circumstances. There is no single “best” answer. Ask yourself these key questions:

What are our business and regulatory needs? Do you handle data that is subject to strict residency or compliance laws? If so, a hybrid approach might be necessary to keep that data on-premises.
How do our legacy systems fit in? If you have significant investments in on-premises hardware or critical legacy applications that are difficult to move, a hybrid strategy can provide a bridge to the cloud without requiring a complete overhaul.
What is our team’s technical maturity? Is your team ready to handle the operational complexity of managing multiple cloud environments? A multicloud strategy requires a higher level of technical expertise and often relies on automation tools like Terraform or orchestration platforms like Kubernetes to be successful.

The road ahead

The lines between hybrid and multicloud are blurring. The future will see these strategies intersect even more with emerging technologies like AI-driven automation, which will simplify management, and edge computing, which will bring processing power even closer to where data is generated.

Ultimately, navigating your cloud journey isn’t about picking a predefined label. It’s about thoughtfully designing a strategy that aligns perfectly with your organization’s unique goals. By clearly understanding the strengths and challenges of each approach, you can build a cloud infrastructure that is strategic, efficient, and ready for the future.

July 15, 2025 by Fernando SRE Cloud stuff DevOps stuff

Unified hybrid cloud governance with AWS Control Tower & Terraform Cloud

For many organizations today, working effectively means adopting a blend of cloud environments. Hybrid and multi-cloud strategies offer flexibility, resilience, and cost savings by allowing businesses to pick the best services from different providers and avoid being locked into one vendor. It sounds great on paper, but this freedom introduces a significant headache: governance. Trying to manage configurations, enforce security rules, and maintain compliance across different platforms, each with its own set of tools and controls, can feel like cooking a coordinated meal in several kitchens, each with entirely different layouts and rulebooks. The result? Often chaos, inconsistencies, security blind spots, and wasted effort.

But what if you could bring order to this complexity? What if there was a way to establish a coherent set of rules and automated checks across your hybrid landscape? This is where the powerful combination of AWS Control Tower and Terraform Cloud steps in, offering a unified approach to tame the hybrid beast. Let’s explore how these tools work together to streamline governance and empower your organization.

The growing maze of hybrid cloud governance

Using multiple clouds and on-premises data centers makes sense for optimizing costs and accessing specialized services. However, managing this distributed setup is tough. Each cloud provider (AWS, Azure, GCP) and your own data center operate differently. Without a unified strategy, teams constantly juggle various dashboards and workflows. It’s easy for configurations to drift apart, security policies to become inconsistent, and compliance gaps to appear unnoticed.

This fragmentation isn’t just inefficient; it’s risky. Misconfigurations can lead to security vulnerabilities or service outages. Keeping everything aligned manually is a constant battle. What’s needed is a central command center, a unified governance plane providing clear visibility, consistent control, and automation across the entire hybrid infrastructure.

Why is unified governance key?

Adopting a unified governance approach brings tangible benefits:

Speed up account setup: AWS Control Tower automates the creation of secure, compliant AWS accounts based on your predefined blueprints (landing zones). Think of it like having pre-approved building plans; you can construct new, safe environments quickly without lengthy reviews each time.
Built-in safety nets: Control Tower comes with pre-configured “guardrails.” These are like safety railings on a staircase, preventive ones stop you from taking a dangerous step (non-compliant actions), while detective ones alert you if something is already out of place. This ensures your AWS environment adheres to best practices from the start.
Consistent rules everywhere: Terraform Cloud extends this idea beyond AWS. Using tools like Sentinel or Open Policy Agent (OPA), you can write governance rules (like “no public S3 buckets” or “only approved VM sizes”) once and automatically enforce them across all your cloud environments managed by Terraform. It ensures everyone follows the same playbook, regardless of the kitchen they’re cooking in.

Combining these capabilities creates a governance framework that is both robust and adaptable to the complexities of hybrid setups.

Laying the AWS foundation with Control Tower

AWS Control Tower establishes a well-architected multi-account environment within AWS, known as a landing zone. This provides a solid, governed foundation. Key components include:

Organizational Units (OUs): Grouping accounts logically (e.g., by department or environment) to apply specific policies.
Guardrails: As mentioned, these are crucial for enforcing compliance. You can even set up automated fixes for issues detected by detective guardrails, reducing manual intervention.
Account Factory for Terraform (AFT): While Control Tower provides standard account blueprints, AFT lets you customize these using Terraform. This is invaluable for hybrid scenarios, allowing you to automatically bake in configurations like VPN connections or AWS Direct Connect links back to your on-premises network during account creation.

Control Tower provides the structure and rules for your AWS estate, ensuring consistency and security.

Extending governance across clouds with Terraform Cloud

While Control Tower governs AWS effectively, Terraform Cloud acts as the bridge to manage and govern your entire hybrid infrastructure, including other clouds and on-premises resources.

Teamwork made easy: Terraform Cloud provides features like shared state management (so everyone knows the current infrastructure status), access controls, and integration with version control systems (like Git). This allows teams to collaborate safely on infrastructure changes.
Policy as Code across clouds: This is where the real magic happens for hybrid governance. Using Sentinel or OPA within Terraform Cloud, you define policies that check infrastructure code before it’s applied, ensuring compliance across AWS, Azure, GCP, or anywhere else Terraform operates.
Keeping secrets safe: Securely managing API keys, passwords, and other sensitive data is critical. Terraform Cloud offers encrypted storage and mechanisms for securely injecting credentials when needed.

By integrating Terraform Cloud with AWS Control Tower, you gain a unified workflow to deploy, manage, and govern resources consistently across your entire hybrid landscape.

Smart habits for hybrid control

To get the most out of this unified approach, adopt these best practices:

Define, don’t improvise (Idempotency): Use Terraform’s declarative nature to define your desired infrastructure state. This ensures applying the configuration multiple times yields the same result (idempotency). Regularly check for “drift”, differences between your code and the actual deployed infrastructure, and reconcile it.
Manage changes through code (GitOps): Treat your infrastructure configuration like application code. Use Git for version control and pull requests for proposing and reviewing changes. Automate checks within Terraform Cloud as part of this process.
See everything in one place (Monitoring): Integrate monitoring tools like AWS CloudWatch with notifications from Terraform Cloud runs. This helps create a centralized view of deployments, changes, and compliance status across all environments.

Putting it all together

Let’s see how this works practically. Imagine your team needs a new AWS account that must securely connect to your company’s private data center.

Define the space (Control Tower OU): Create a new Organizational Unit in AWS Control Tower for this purpose, applying standard security and network guardrails.
Build the account (AFT): Use Account Factory for Terraform (AFT) to provision the new AWS account. Customize the AFT template to automatically include the necessary configurations for a VPN or Direct Connect gateway based on your company standards.
Deploy resources (Terraform Cloud): Once the governed account exists, trigger a Terraform Cloud run. This run, governed by your Sentinel/OPA policies, deploys specific resources within the account, perhaps setting up DNS resolvers to securely connect back to your on-premises network.

This streamlined workflow ensures the new account is provisioned quickly, securely, adheres to company policies, and has the required hybrid connectivity built-in from the start.

The future of governance

The world of hybrid and multi-cloud is constantly evolving, with new tools emerging. However, the fundamental need for simple, secure, and automated governance remains constant.

By combining the strengths of AWS Control Tower for foundational AWS governance and Terraform Cloud for multi-cloud automation and policy enforcement, organizations can confidently manage their complex hybrid environments. This unified approach transforms a potential management nightmare into a well-orchestrated, resilient, and compliant infrastructure ready for whatever comes next. It’s about building a system that is not just powerful and flexible, but also fundamentally manageable.

April 24, 2025 by Fernando SRE Cloud stuff DevOps stuff SRE stuff

Connecting On-Premises Networks with AWS

Imagine you’re an architect, but instead of designing buildings, you’re crafting a network that seamlessly connects your company’s existing data center with the vast capabilities of the AWS cloud. This hybrid network needs to be a fortress of security, able to scale effortlessly as your company grows, and perform like a well-oiled machine. How do you approach this challenge?

Key Components of Your Hybrid Network

Let’s break down the essential tools and services that will make your hybrid network a reality:

AWS Direct Connect: Think of this as a private, high-speed tunnel between your data center and the AWS cloud. It’s like having a dedicated highway for your data, bypassing the traffic jams of the public internet. This ensures lower latency (the time it takes for data to travel) and a faster, more reliable connection.
AWS VPN: While Direct Connect is your primary route, it’s wise to have a backup plan. AWS VPN (Virtual Private Network) acts as a secure secondary connection. If Direct Connect experiences any hiccups, your VPN kicks in, ensuring your network remains available.
VPC Peering: Within the AWS cloud, you’ll likely have multiple Virtual Private Clouds (VPCs) – think of them as separate neighborhoods in your cloud city. VPC Peering allows these VPCs to communicate directly with each other, making it easy to share resources and manage everything from a central location.
AWS Transit Gateway: As your network expands with more VPCs and connections, things can get a bit messy. AWS Transit Gateway acts as a central hub, simplifying traffic routing and management. It’s like having a well-organized traffic control system for your data.
Security Groups and NACLs: Security is paramount in any network. Security Groups and Network ACLs (NACLs) are your virtual guards, controlling what traffic is allowed in and out of your network. They ensure that only authorized data flows between your data center and the AWS cloud.

The Hybrid Network in Action

Now, let’s see how these components work together to create a robust hybrid network:

Imagine that you’re in the control room of a bustling metropolis. Every street, highway, and alley represents a network path, and your task is to ensure that traffic flows smoothly, securely, and efficiently. Here’s how our hybrid network comes to life, step by step.

Direct Connect and VPN –> The Dual Pathways

First, picture AWS Direct Connect as your main highway. It’s a private, high-speed route from your data center directly into AWS, avoiding the congestion and unpredictability of the public internet. This dedicated connection offers the lowest latency and highest performance, much like a VIP lane reserved just for you.

But what happens if there’s a roadblock on this highway? That’s where AWS VPN comes in. It’s like having a well-paved secondary road ready to take on the traffic if your main highway is temporarily closed. The VPN ensures that your data can still travel securely between your data center and AWS, even when the primary route is unavailable.

VPC Peering and Transit Gateway –> The Interconnected Network

Within the AWS cloud, you have several VPCs, each representing a different district of your city. VPC Peering is like building direct bridges between these districts, allowing data to flow freely and resources to be shared seamlessly.

However, as your city grows and more districts (VPCs) are added, managing all these direct connections can become complex. This is where AWS Transit Gateway comes into play. Think of it as the central hub of a massive roundabout, where all the main roads converge. Transit Gateway simplifies the routing process, allowing you to manage and direct traffic efficiently across all your VPCs and on-premises connections. It ensures that data gets where it needs to go, without unnecessary detours.

Security Groups and NACLs –> The Guardians of the Network

As your data travels along these paths, security is paramount. Security Groups and Network ACLs (NACLs) are like the vigilant guards at every checkpoint, scrutinizing every bit of data that passes through. Security Groups work at the instance level, controlling inbound and outbound traffic to specific AWS resources. NACLs, on the other hand, operate at the subnet level, providing an additional layer of security by controlling traffic at the boundaries of your network segments.

Imagine a sensitive document moving from your data center to AWS. It first passes through the Direct Connect highway, with VPN as a backup. Upon reaching AWS, it might need to traverse several VPCs, facilitated by VPC Peering or routed through the Transit Gateway. At each step, Security Groups and NACLs ensure that only authorized data flows, blocking any potential threats.

A Unified Network

Together, these components create a harmonious network. Direct Connect and VPN ensure reliable and secure connectivity. VPC Peering and Transit Gateway manage the efficient routing of data within the cloud. Security Groups and NACLs safeguard your information at every turn.

Visualize a scenario: Your data center is processing a large batch of financial transactions that need to be securely stored and analyzed in AWS. The data travels through Direct Connect, zooming into AWS with minimal delay. As it arrives, it passes through the Security Groups, which verify its credentials. The data is then routed via the Transit Gateway to various VPCs for processing, storage, and analysis. At each VPC, NACLs act as border control, ensuring only legitimate traffic enters. If Direct Connect fails, the VPN immediately takes over, maintaining seamless connectivity.

Building a Robust Hybrid Network

By integrating AWS Direct Connect, VPN, VPC Peering, Transit Gateway, and robust security measures, you’ve constructed a hybrid network that is secure, scalable, and high-performing. This network not only meets the current demands of your company but is also flexible enough to adapt to future growth and technological advancements.

Think of this hybrid network as a dynamic bridge between your on-premises data center and the AWS cloud. With meticulous planning and the right tools, you’ve built a bridge that’s resilient, secure, and capable of handling whatever traffic comes its way, ensuring your business runs smoothly in the ever-evolving digital landscape.

A Secure, Scalable, and High-Performance Hybrid Network

By combining AWS Direct Connect, VPN, VPC Peering, Transit Gateway, and robust security measures, you create a hybrid network that’s not only secure but also highly scalable and efficient. It’s a network that can grow with your company, adapt to changing needs, and provide the performance you need to thrive in the cloud era.

Building a hybrid network is like constructing a bridge between two worlds, your on-premises data center and the AWS cloud. With careful planning and the right tools, you can create a bridge that’s strong, secure, and ready to handle whatever traffic comes its way.

July 29, 2024 by Fernando SRE Cloud stuff SRE stuff