#kubernetes network policy example

[ludoonline]

Smart Cloud Cost Optimization: Reducing Expenses Without Sacrificing Performance

As businesses scale their cloud infrastructure, cost optimization becomes a critical priority. Many organizations struggle to balance cost efficiency with performance, security, and scalability. Without a strategic approach, cloud expenses can spiral out of control.

This blog explores key cost optimization strategies to help businesses reduce cloud spending without compromising performance—ensuring an efficient, scalable, and cost-effective cloud environment.

Why Cloud Cost Optimization Matters

Cloud services provide on-demand scalability, but improper management can lead to wasteful spending. Some common cost challenges include:

❌ Overprovisioned resources leading to unnecessary expenses. ❌ Unused or underutilized instances wasting cloud budgets. ❌ Lack of visibility into spending patterns and cost anomalies. ❌ Poorly optimized storage and data transfer costs.

A proactive cost optimization strategy ensures businesses pay only for what they need while maintaining high availability and performance.

Key Strategies for Cloud Cost Optimization

1. Rightsize Compute Resources

One of the biggest sources of cloud waste is overprovisioned instances. Businesses often allocate more CPU, memory, or storage than necessary.

✅ Use auto-scaling to adjust resources dynamically based on demand. ✅ Leverage rightsizing tools (AWS Compute Optimizer, Azure Advisor, Google Cloud Recommender). ✅ Monitor CPU, memory, and network usage to identify underutilized instances.

🔹 Example: Switching from an overprovisioned EC2 instance to a smaller instance type or serverless computing can cut costs significantly.

2. Implement Reserved and Spot Instances

Cloud providers offer discounted pricing models for long-term or flexible workloads:

✔️ Reserved Instances (RIs): Up to 72% savings for predictable workloads (AWS RIs, Azure Reserved VMs). ✔️ Spot Instances: Ideal for batch processing and non-critical workloads at up to 90% discounts. ✔️ Savings Plans: Flexible commitment-based pricing for compute and storage services.

🔹 Example: Running batch jobs on AWS EC2 Spot Instances instead of on-demand instances significantly reduces compute costs.

3. Optimize Storage Costs

Cloud storage costs can escalate quickly if data is not managed properly.

✅ Move infrequently accessed data to low-cost storage tiers (AWS S3 Glacier, Azure Cool Blob Storage). ✅ Implement automated data lifecycle policies to delete or archive unused files. ✅ Use compression and deduplication to reduce storage footprint.

🔹 Example: Instead of storing all logs in premium storage, use tiered storage solutions to balance cost and accessibility.

4. Reduce Data Transfer and Network Costs

Hidden data transfer fees can inflate cloud bills if not monitored.

✅ Minimize inter-region and inter-cloud data transfers to avoid high egress costs. ✅ Use content delivery networks (CDNs) (AWS CloudFront, Azure CDN) to cache frequently accessed data. ✅ Optimize API calls and batch data transfers to reduce unnecessary network usage.

🔹 Example: Hosting a website with AWS CloudFront CDN reduces bandwidth costs by caching content closer to users.

5. Automate Cost Monitoring and Governance

A lack of visibility into cloud spending can lead to uncontrolled costs.

✅ Use cost monitoring tools like AWS Cost Explorer, Azure Cost Management, and Google Cloud Billing Reports. ✅ Set up budget alerts and automated cost anomaly detection. ✅ Implement tagging policies to track costs by department, project, or application.

🔹 Example: With Salzen Cloud’s automated cost optimization solutions, businesses can track and control cloud expenses effortlessly.

6. Adopt Serverless and Containerization for Efficiency

Traditional VM-based architectures can be cost-intensive compared to modern alternatives.

✅ Use serverless computing (AWS Lambda, Azure Functions, Google Cloud Functions) to pay only for execution time. ✅ Adopt containers and Kubernetes for efficient resource allocation. ✅ Scale workloads dynamically using container orchestration tools like Kubernetes.

🔹 Example: Running a serverless API on AWS Lambda eliminates idle costs compared to running a dedicated EC2 instance.

How Salzen Cloud Helps Optimize Cloud Costs

At Salzen Cloud, we offer AI-driven cloud cost optimization solutions to help businesses:

✔️ Automatically detect and eliminate unused cloud resources. ✔️ Optimize compute, storage, and network costs without sacrificing performance. ✔️ Implement real-time cost monitoring and forecasting. ✔️ Apply smart scaling, reserved instance planning, and serverless strategies.

With Salzen Cloud, businesses can maximize cloud efficiency, reduce expenses, and enhance operational performance.

Final Thoughts

Cloud cost optimization is not about cutting resources—it’s about using them wisely. By rightsizing workloads, leveraging reserved instances, optimizing storage, and automating cost governance, businesses can reduce cloud expenses while maintaining high performance and security.

🔹 Looking for smarter cloud cost management? Salzen Cloud helps businesses streamline costs without downtime or performance trade-offs.

🚀 Optimize your cloud costs today with Salzen Cloud!

[qcsdslabs]

HawkStack: Experts in Kubernetes, Microservices, and Serverless Architectures

In today’s rapidly evolving tech landscape, businesses seek innovative solutions to streamline operations, enhance scalability, and reduce costs. HawkStack, a leader in cloud and DevOps solutions, stands out with its unparalleled expertise in Kubernetes, microservices, and serverless architectures. Let’s explore how HawkStack helps organizations unlock the true potential of modern cloud-native technologies.

Mastering Kubernetes for Seamless Orchestration

Kubernetes has become the cornerstone of container orchestration, enabling businesses to deploy, scale, and manage applications efficiently. HawkStack’s Kubernetes specialists bring extensive experience in:

Cluster Management: Setting up, maintaining, and scaling Kubernetes clusters for robust application performance.

Custom Resource Development: Crafting Custom Resource Definitions (CRDs) to tailor Kubernetes for unique business needs.

Security Best Practices: Implementing role-based access controls (RBAC), network policies, and secure container images.

Optimized Workloads: Ensuring seamless CI/CD pipelines integrated with Kubernetes for agile deployments.

Example: HawkStack partnered with a fintech startup to migrate their monolithic applications to Kubernetes. The result? A 40% reduction in downtime and a 25% increase in application responsiveness.

Microservices: Building Modular and Scalable Systems

The microservices architecture has revolutionized application development by breaking down monolithic systems into modular components. HawkStack excels in:

Design and Development: Creating loosely coupled, independently deployable services.

API Management: Streamlining communication between microservices with secure and efficient APIs.

Observability: Implementing monitoring tools like Prometheus and Grafana for real-time insights.

Resilience: Ensuring fault tolerance through strategies like circuit breakers and retries.

Example: A retail client partnered with HawkStack to transition from a legacy system to microservices. This move enhanced their system’s scalability and reduced time-to-market for new features.

Serverless Architectures: Simplifying Operations and Reducing Costs

Serverless computing allows businesses to focus on code without worrying about infrastructure management. HawkStack offers:

Event-Driven Solutions: Designing systems that trigger actions based on specific events, using platforms like AWS Lambda and Google Cloud Functions.

Cost Optimization: Leveraging serverless to ensure organizations only pay for the compute they use.

Rapid Prototyping: Accelerating development cycles with scalable serverless solutions.

Vendor Agnosticism: Advising on multi-cloud or hybrid-cloud strategies to prevent vendor lock-in.

Example: HawkStack implemented a serverless e-commerce solution for a global retailer, enabling them to handle seasonal traffic spikes without compromising performance.

Why Choose HawkStack?

End-to-End Expertise: From strategy and design to implementation and optimization, HawkStack covers all aspects of cloud-native development.

Proven Success: Real-world case studies demonstrate their ability to deliver tangible business results.

Customized Solutions: Tailored strategies that align with your organization’s goals and technical environment.

Continuous Innovation: Staying ahead of industry trends to offer cutting-edge solutions.

Conclusion

HawkStack’s deep expertise in Kubernetes, microservices, and serverless architectures positions them as the ideal partner for businesses seeking to modernize their IT infrastructure. By embracing these transformative technologies, organizations can achieve unparalleled agility, scalability, and cost efficiency.

Ready to take the leap into cloud-native excellence? Partner with HawkStack and transform your digital landscape today!

For more details visit: www.hawkstack.com

[cloudastra1]

Kubernetes, the popular open-source container orchestration platform, offers robust features for automating the deployment, scaling, and management of containerized applications. However, its powerful capabilities come with a complex security landscape that requires careful consideration to protect applications and data. Here’s an overview of key practices and tools to enhance Kubernetes security:

1. Network Policies

Network policies in Kubernetes control the communication between pods. By default, Kubernetes allows all traffic between pods, but network policies can be used to define rules that restrict which pods can communicate with each other. This is crucial for minimizing the attack surface and preventing unauthorized access.

2. RBAC (Role-Based Access Control)

Kubernetes RBAC is a method for regulating access to the Kubernetes API. It allows you to define roles with specific permissions and assign those roles to users or service accounts. Implementing RBAC helps ensure that users and applications have only the permissions they need to function, reducing the risk of privilege escalation.

3. Secrets Management

Kubernetes Secrets are designed to store sensitive information, such as passwords, OAuth tokens, and SSH keys. It’s essential to use Secrets instead of environment variables for storing such data to ensure it’s kept secure. Additionally, consider integrating with external secret management tools like HashiCorp Vault for enhanced security.

4. Pod Security Policies

Pod Security Policies (PSPs) are cluster-level resources that control security-sensitive aspects of pod specifications. PSPs can enforce restrictions on pod execution, such as requiring the use of specific security contexts, preventing the use of privileged containers, and controlling access to host resources. While PSPs are being deprecated in favor of other mechanisms like OPA Gatekeeper, they are still crucial for current security practices.

5. Image Security

Ensuring the security of container images is critical. Use trusted base images, and regularly scan your images for vulnerabilities using tools like Clair or Trivy. Additionally, sign your images with tools like Notary and use a container registry that supports image signing and verification.

6. Runtime Security

Monitoring your containers at runtime is essential to detect and respond to security threats. Tools like Falco, a runtime security tool for Kubernetes, can help detect unexpected behavior, configuration changes, and potential intrusions. Integrating such tools with a logging and alerting system ensures that any suspicious activity is promptly addressed.

7. Secure Configuration

Ensure your Kubernetes components are securely configured. For example, restrict API server access, use TLS for secure communication between components, and regularly review and audit your configurations. Tools like kube-bench can help automate the process of checking your cluster against security best practices.

8. Regular Updates and Patching

Keeping your Kubernetes environment up-to-date is critical for maintaining security. Regularly apply patches and updates to Kubernetes components, container runtimes, and the underlying operating system to protect against known vulnerabilities.

9. Audit Logs

Enable Kubernetes audit logs to track access and modifications to the cluster. Audit logs provide a detailed record of user actions, making it easier to detect and investigate suspicious activities. Integrate these logs with a centralized logging system for better analysis and retention.

10. Compliance and Best Practices

Adhering to security best practices and compliance requirements is essential for any Kubernetes deployment. Regularly review and align your security posture with standards such as NIST, CIS Benchmarks, and organizational policies to ensure your cluster meets necessary security requirements.

In conclusion, Kubernetes security is multi-faceted and requires a comprehensive approach that includes network policies, access controls, secrets management, and regular monitoring. By implementing these best practices and leveraging the right tools, you can significantly enhance the security of your Kubernetes environment, ensuring your applications and data remain protected against threats.

[atplblog]

Price: [price_with_discount] (as of [price_update_date] - Details) [ad_1] Understand how to use service mesh architecture to efficiently manage and safeguard microservices-based applications with the help of examplesKey FeaturesManage your cloud-native applications easily using service mesh architectureLearn about Istio, Linkerd, and Consul – the three primary open source service mesh providersExplore tips, techniques, and best practices for building secure, high-performance microservicesBook DescriptionAlthough microservices-based applications support DevOps and continuous delivery, they can also add to the complexity of testing and observability. The implementation of a service mesh architecture, however, allows you to secure, manage, and scale your microservices more efficiently. With the help of practical examples, this book demonstrates how to install, configure, and deploy an efficient service mesh for microservices in a Kubernetes environment.You'll get started with a hands-on introduction to the concepts of cloud-native application management and service mesh architecture, before learning how to build your own Kubernetes environment. While exploring later chapters, you'll get to grips with the three major service mesh providers: Istio, Linkerd, and Consul. You'll be able to identify their specific functionalities, from traffic management, security, and certificate authority through to sidecar injections and observability.By the end of this book, you will have developed the skills you need to effectively manage modern microservices-based applications.What you will learnCompare the functionalities of Istio, Linkerd, and ConsulBecome well-versed with service mesh control and data plane conceptsUnderstand service mesh architecture with the help of hands-on examplesWork through hands-on exercises in traffic management, security, policy, and observabilitySet up secure communication for microservices using a service meshExplore service mesh features such as traffic management, service discovery, and resiliencyWho this book is forThis book is for solution architects and network administrators, as well as DevOps and site reliability engineers who are new to the cloud-native framework. You will also find this book useful if you’re looking to build a career in DevOps, particularly in operations. Working knowledge of Kubernetes and building microservices that are cloud-native is necessary to get the most out of this book. Publisher ‏ : ‎ Packt Publishing (27 March 2020) Language ‏ : ‎ English Paperback ‏ : ‎ 626 pages ISBN-10 ‏ : ‎ 1789615798 ISBN-13 ‏ : ‎ 978-1789615791 Item Weight ‏ : ‎ 1 kg 80 g Dimensions ‏ : ‎ 23.5 x 19.1 x 3.28 cm Country of Origin ‏ : ‎ India [ad_2]

[geekscripts]

SecretScanner: Find Secrets and Passwords in Container Images and File Systems  | #Docker #Kubernetes #Passwords #Scanner #Secrets #Hacking

[govindhtech]

GKE Cluster networking issues and troubleshooting

Typical GKE networking issues and their solutions

The Google Kubernetes Engine (GKE) provides a strong and expandable method for managing applications that are containerised. Nevertheless, networking complexity can provide difficulties and cause connectivity problems, just as in any distributed system. This blog post explores typical GKE networking issues and offers detailed troubleshooting methods to resolve them.

The following are some typical GKE connectivity problems google cloud encounter:

Problems with GKE Cluster control plane connectivity

Perhaps because of network problems, pods or nodes in a GKE cluster are unable to reach the control plane endpoint.

GKE internal communications

Within the same VPC, pods cannot reach other pods or services: In a GKE cluster, every pod is assigned a distinct IP address. The functionality of the application may be impacted by a disruption in connectivity between pods within the cluster.

Pods cannot be reached by nodes, or vice versa: A GKE cluster can contain numerous nodes to divide the workload of applications for scalability and dependability. A single node can host multiple pods. Nodes may not be able to communicate with the pods they host due to network problems.

Issues with external communication

Pods are unable to access online services: Issues with internet connectivity may make it impossible for pods to use databases, external APIs, or other resources.

Pods cannot be reached by outside services: It’s possible that services made available by GKE load balancers are unavailable from outside the cluster.

Interaction outside of Cluster VPCs

Resources in other VPCs are inaccessible to pods: When pods need to communicate with services in a different VPC (either within the same project or through VPC peering), connectivity problems could occur.

Pods are unable to access on-site resources: When GKE clusters must interact with systems in the data centre of your business, issues may arise (for example connecting over VPN or Hybrid Connectivity).

Steps for troubleshooting

Should you experience a connectivity problem in your Google Kubernetes Engine (GKE) environment, there are particular actions you may take to resolve the issue. Kindly consult the troubleshooting tree provided below for a thorough rundown of the suggested troubleshooting procedure.

Step 1: Check for connectivity

A diagnostic tool called connectivity tests allows you to verify that network endpoints are connected to one another. In addition to examining your configuration, it occasionally carries out real-time dataplane analysis between the endpoints. It will assist in confirming whether the network path is accurate and whether any firewall rules or routes are preventing connectivity.

Step 2: Identify the problem

Make sure your GKE cluster and GCE VM are on the same subnet. Check if this virtual machine can connect to the external endpoint.

If you can connect from the virtual machine, your GKE settings is probably the problem. If not, concentrate on networking VPCs.

Step 3: Examine and correct your GKE setup

Examine the connection using a GKE node. Look into the following areas if it functions from the node but not from a pod:

IP Scamming: Verify that it is operational, enabled, and that the ip-masq-agent configmap matches the configuration of your network. The endpoint destination should permit traffic from the pod ip range since communication to the destinations specified in “nonMasqueradeCIDRs” in the configmap yaml is transmitted with source as pod ip address rather than node ip address. Traffic to all default non-masquerade destinations is routed via pod ip address if there is only an ip-masq-agent daemon operating and no configmap for ip-masq-agent. Egress NAT policies will be used to setup this for Autopilot clusters.

Network Guidelines: Check the rules of entry and exit for any possible obstructions. If you’re using Dataplane V2, turn on logging.

IPtables: The rules of working and non-working nodes should be compared. You might run “sudo iptables-save” on the specific output node to use it.

Mesh of services: Consider trying with istio-proxy injection disabled for a test pod in the namespace if you are using Cloud Service Mesh or Istio in your environment to see if the problem persists. If sidecar injection is off and connectivity still functions, the service mesh setup is probably the problem.

Note: Certain procedures, which are only applicable to Standard Clusters, such as verifying IP tables or testing connections from the GKE node, will not function with GKE Autopilot Clusters.

Step 4: Identify problems unique to a node

If a certain node’s connectivity is lost:

Compare the setups: Make sure the working nodes match.

Verify the use of resources: Check for problems with the CPU, RAM, or cache table.

Gather the sosreport from a faulty node. This might facilitate RCA generation.

If the problem was limited to GKE nodes, you may apply the logging filter that is described below. To find any prevalent errors, narrow the search down to a certain timestamp. Troubleshooting can be aided by the presence of logs such as connection timeout, OOM kill (oom_watcher), Kubelet is unhealthy, NetworkPluginNotReady, and so on. You can look up additional comparable queries by using GKE Node-level queries.

Step 5: Take care of correspondence with outside parties

Make sure  Cloud NAT is turned on for both pod and node CIDRs if you’re having issues with external connectivity with a private GKE cluster.

Step 6: Resolve connectivity problems with the control plane

Depending on the type of GKE cluster (Private, Public, or PSC based cluster), connectivity from nodes to the GKE cluster control plane (GKE master endpoint) varies.

When it comes to troubleshooting common connectivity issues, including executing connectivity tests to the GKE cluster private or public control plane endpoint, most of the processes for confirming control plane connectivity are identical to those described above.

Apart from the aforementioned, confirm that the source is permitted in the control plane authorised networks and that, in the event that the source is located outside of the GKE cluster’s region, global access to the control plane of the cluster is enabled.

Make that the cluster is formed with –enable-private-endpoint if routing traffic from outside GKE has to reach the control plane on its private endpoint alone. This attribute shows that the control plane API endpoint’s private IP address is used to govern the cluster. Please be aware that regardless of the public endpoint option, pods or nodes within the same cluster will always attempt to connect to the GKE master via its private endpoint only.

Pods of cluster B will always attempt to connect to the public endpoint of cluster A when accessing the control plane of a GKE cluster A with its public endpoint enabled from another private GKE cluster B (such as  Cloud Composer). Therefore, they must ensure that the private cluster B has  Cloud NAT enabled for outside access and that Cloud NAT IP ranges are whitelisted in control plane authorised networks on cluster A.

In summary

The preceding procedures cover typical connectivity problems and offer a basic framework for troubleshooting. In case the issue is intricate or sporadic, a more thorough examination is necessary. For a thorough root cause study, this entails gathering packet captures on the impacted node (applicable only to standard cluster) or pod (applicable to both autopilot and standard cluster) at the moment of the problem. Kindly contact  Cloud Support if you need any additional help with these problems.

Read more on Govindhtech.com

[haripriya2002]

Azure Kubernetes Service (AKS): Mastering Container Orchestration

As cloud computing continues to revolutionize the way applications are developed and deployed, container orchestration has emerged as a critical component for managing and scaling containerized applications. In this blog post, we will delve into the concept of container orchestration and explore how Azure Kubernetes Service (AKS) plays a crucial role in this domain. We will discuss the importance of container orchestration in modern cloud computing and provide a comprehensive guide to understanding and utilizing AKS for container management.

Understanding Container Orchestration

Before diving into the specifics of AKS, it is essential to grasp the concept of container orchestration and its role in managing containers. Container orchestration involves automating containers’ deployment, scaling, and management within a cluster. Manual management of containers poses several challenges, such as resource allocation, load balancing, and fault tolerance. Automated container orchestration solutions like AKS provide a robust and efficient way to address these challenges, enabling seamless application deployment and scaling.

Getting Started with AKS

To begin our journey with AKS, let’s first understand what it is. Microsoft Azure offers a controlled container orchestration service called Azure Kubernetes Service (AKS). It simplifies the deployment and management of Kubernetes clusters, allowing developers to focus on building and running their applications. Setting up an AKS cluster involves several steps, including creating a resource group, configuring the cluster, and configuring networking. While AKS streamlines the process, it is essential to be aware of potential prerequisites and challenges during the initial setup.

Deploying Applications with AKS

Once the AKS cluster is up and running, the next step is to deploy containerized applications to the cluster. AKS provides several options for deploying applications, including using YAML manifests, Azure DevOps Pipelines, and Azure Container Registry. Deploying applications with AKS offers numerous benefits, such as easy scaling, rolling updates, and application versioning. Real-world examples and use cases of applications deployed with AKS illustrate the practical applications and advantages of utilizing AKS for application deployment.

Scaling and Load Balancing

One of the significant advantages of AKS is its automatic scaling capabilities. AKS monitors the resource utilization of containers and scales the cluster accordingly to handle increased demand. Load balancing is another critical aspect of container orchestration, ensuring that traffic is distributed evenly across the containers in the cluster. Exploring AKS’s automatic scaling and load-balancing features provides insights into how these capabilities simplify application management and ensure optimal performance.

Monitoring and Maintenance

Monitoring and maintaining AKS clusters are essential for ensuring the stability and performance of applications. AKS offers built-in monitoring and logging features that enable developers to gain visibility into the cluster’s health and troubleshoot issues effectively. Best practices for maintaining AKS clusters, such as regular updates, backup strategies, and resource optimization, contribute to the overall stability and efficiency of the cluster. Sharing insights and lessons learned from managing AKS in a production environment helps developers better understand the intricacies of AKS cluster maintenance.

Security and Compliance

Container security is a crucial consideration when using AKS for container orchestration. AKS provides various security features, including Azure Active Directory integration, role-based access control, and network policies. These features help secure the cluster and protect against unauthorized access and potential threats. Additionally, AKS assists in meeting compliance requirements by providing features like Azure Policy and Azure Security Center integration. Addressing the challenges faced and solutions implemented in ensuring container security with AKS provides valuable insights for developers.

Advanced AKS Features

In addition to its core features, AKS offers several advanced capabilities that enhance container orchestration. Integration with Azure Monitor enables developers to gain deeper insights into the performance and health of their applications running on AKS. Helm charts and Azure DevOps integration streamline the deployment and management of applications, making the development process more efficient. Azure Policy allows developers to enforce governance and compliance policies within the AKS cluster, ensuring adherence to organizational standards.

Real-world Use Cases and Case Studies

To truly understand the impact of AKS on container orchestration, it is essential to explore real-world use cases and case studies. Many organizations across various industries have successfully implemented AKS for their container management needs. These use cases highlight the versatility and applicability of AKS in scenarios ranging from microservices architectures to AI-driven applications. By examining these examples, readers can gain insights into how AKS can be leveraged in their projects.

Future Trends and Considerations

The container orchestration landscape is continuously evolving, and staying updated on emerging trends and considerations is crucial. Kubernetes, the underlying technology of AKS, is evolving rapidly, with new features and enhancements being introduced regularly. Understanding the future trends in container orchestration and Kubernetes helps developers make informed decisions and stay ahead of the curve. Additionally, considering the role of AKS in the future of cloud-native applications provides insights into the long-term benefits and possibilities of utilizing AKS.

Benefits and Takeaways

Summarizing the key benefits of using Azure Kubernetes Service, we find that AKS simplifies container orchestration and management, reduces operational overhead, and enhances scalability and fault tolerance. By leveraging AKS, developers can focus on building and running their applications without worrying about the underlying infrastructure. Recommendations for starting or advancing the AKS journey include exploring AKS documentation, participating in the AKS community, and experimenting with sample applications.

In conclusion, mastering container orchestration is crucial in the world of modern cloud computing. Azure Kubernetes Service (AKS) provides a powerful and efficient solution for managing and scaling containerized applications. Explore online platforms like the ACTE Institute, which provides detailed Microsoft Azure courses, practice examinations, and study materials for certification exams, to get started on your Microsoft Azure certification journey. By understanding the concepts and features of AKS, developers can streamline their container management processes, enhance application deployment and scalability, and improve overall operational efficiency. We encourage readers to explore AKS for their container management needs and engage in the AKS community to continue learning and sharing experiences.

[codeonedigest]

Kubernetes Network Policies Tutorial for Devops Engineers Beginners and Students  

Hi, a new #video on #kubernetes #networkpolicy is published on #codeonedigest #youtube channel. Learn #kubernetesnetworkpolicy #node #docker #container #cloud #aws #azure #programming #coding with #codeonedigest @java #java #awscloud @awscloud @AWSCloudI

In kubernetes cluster, by default, any pod can talk to any other pod with no restriction hence we need Network Policy to control the traffic flow. Network policy resource allows us to restrict the ingress and egress traffic to/from the pods. Network Policy is a standardized Kubernetes object to control the network traffic between Kubernetes pods, namespaces and the cluster. However, Kubernetes…

[humongousblocks-blog]

5 Kubernetes Security Best Practices in 2020

 Have you asked yourself what Kubernetes is? This is an open-source vessel orchestration device that mechanizes many of the tasks essential to run a containerized request at scale tasks.

You need to understand also that deprived of a container orchestration instrument like Kubernetes, andit will not be possible to run a containerization app as of production. Kubernetes is now accelerating technology at a firm by assisting them to transition away from the legacy technology and embrace cloud-native software development. The world is changing and that why the company wants to benefit from Kubernetes and the ability to automatically manage, deploy, and scale software workloads in the cloud.

It is vital to understand Kubernetes security features when to use, show you some of the image best approach, and secure network communication.

 1.      Upgrades toa modern version

You will get new safety features, not any doses that are further for every trimestralinform, and to take profits, we always endorse you to run the modernsteady version. The top one you do is to route the latest out with the most currentareas likely in the light of encounter CVE-2018-1002105. You can try to upgrade at least once per quarter since it becomes difficult behind your fall.

 2.      Use Namespaces to enable security boundaries

According to the Kubernetes docs;

Generatingisolated namespaces is a significant first close of isolation amongstmechanisms. Kubernetes also used to support multiple virtual clusters backed by the same physical group. We discover that it is easy to smear security control,for instance, Network rules if dissimilarloadsorganized in separate namespaces. Does your company use namespace efficiently? You need to know Kubernetes namespaces since it assists in managing your Kubernetes resources much easier.

3.      The Safe cloud metadata entree

 The delicate metadata, like Kubelet admin identifications, can occasionally be taken or changed to intensifyfreedoms in a cluster. For example, here, and a current Shopify microbeplenteousness recognizesinfo on how the worker was talented to strengthenrights to confuses the microservice addicted to taking out data as of cloud providers metadata deal. It also contains the GKE metadata suppression features variationsof the cluster placement mechanism to evade some of the contacts.

 4.      The Separate complex workloads

For you to limit the possible impact of the co-operation, it is great to run the delicate workloads on the dedication usual of your machine. The best approach you take decreases the danger of the sensitivity request accessed finished a less safeform that can share a container run a while or mass. Let us check the example, and the company nodes Kubernetes credentials that frequently access the guts of the confidences only if they equestrian into pods arranged on the node. If any lumpsthrough the cluster, have extra of the chances to giveaway them. You can manage all that utilizinga separate node pool.

 5.      Run cluster-wide pod security

You can also understand that pod safekeeping sets evasions for how workload isallowable to run the cluster. A policy can be defined and as well asenablea policy admission controller. You will also get that instruction hasdifferedcontingent on your cloud worker or placement model. As the appetizer, you will need arrangementsto droplet the NET-RAW skill for you to defeat specificlessons of the network spoofing spells.

[verykittenmoon]

Secure Digital Transformation

Secure Digital Transformation 

To secure digital transformation, security teams must be ready to take on a new role. They need to be prepared for the new threats, as well as the new needs of the business. To prepare for the new world of business, security leaders need to change their thinking. To do so, they need to embrace the cloud and adopt Zero-trust models to secure sensitive information. 

Cloud-native data security 

Cloud-native security involves building applications on top of emerging cloud delivery and infrastructure models. This type of security leverages the advantages of the cloud while reducing management and deployment costs. It also applies principles from secure software development to cloud services. For secure digital transformation, organizations should consider cloud-native data security. 

Cloud-native security controls fall into two categories: preventative and deterrent. Deterrent controls prevent unauthorized access and prevent malicious activity. They may include policies and automated scripts. They also reduce attack surface areas and protect network access. These controls also help ensure compliance with regulations and laws. 

The benefits of cloud-native data security are significant. First, it can help organizations manage a wider range of security risks than a traditional on-premise security solution. Security analytics processes can detect risks in a wide range of environments. For example, they can detect risks arising from Kubernetes deployments, container images, and IAM misconfigurations. They can also alert security teams in real-time. 

Zero-trust models 

The Zero-Trust model is a security architecture that relies on strong authentication and authorization. This model can be applied inside or outside the network perimeter, and it combines filters, analytics, and logging to detect and mitigate any potential threats. The Zero-Trust model is flexible, and it can be adjusted to fit the specific needs of any organization. 

Zero-Trust is an adaptive security model that constantly assesses access requests based on the context. This approach will reinforce security and help organizations embrace digital technologies. As more organizations are embracing APIs, zero-trust security models are becoming more essential. The rapid growth of API attacks has driven many organizations to adopt this framework. 

As organizations begin their digital transformation journey, it's important to prioritize subprojects that support zero-trust architecture. In particular, those focused on identity management, single sign-on, and ZTNA are a good place to begin. As zero-trust solutions become available, organizations should take the initiative to remove old, unsecure systems from their environment. 

Password security 

Password security is a critical component of secure digital transformation. 80% of data breaches are the result of compromised or stolen passwords. To protect data from being stolen, organizations must enforce a comprehensive password security policy. This policy should include requirements for strong, unique passwords on every account, multi-factor authentication (2FA), and the use of a password manager. 

Today, passwords are the most common and most widely used means of online access. But their widespread use creates several challenges for businesses and organizations. A lack of security, a lack of user experience, and escalating costs make passwords an ineffective method of authentication. Therefore, companies must consider new digital authentication systems that provide greater security and user satisfaction. There are a variety of solutions on the market. 

Passwords are a key component of information strategy, and they are traditionally the mechanism through which this strategy is implemented. However, they are costly, so many enterprises are opting for flexible risk-based approaches to secure their data. By replacing a single password with multiple factors, enterprises can ensure the security of critical data and increase productivity. 

Cloud usage analysis 

Cloud computing is a growing area of enterprise IT. It provides an array of services, including storage, high-performance computing power, virtual machines, and networks. This allows companies to scale computing resources according to their specific needs and manage costs within budget. The cloud is used for a variety of workloads, including business-critical applications, large data sets, and connected software applications. 

Among the challenges in adopting cloud computing is the need to protect sensitive data. Security and privacy considerations are of paramount importance, especially when data is stored overseas. Cloud providers must adhere to regulations regarding privacy and data protection. Furthermore, the GDPR requires them to take additional security measures to protect the privacy of data held by EU clients. Because of these issues, it is essential for companies to work with a trusted partner who can guide them through the risks involved in storing and accessing data in the cloud. 

Cloud applications are particularly beneficial to industries that require big data. They can facilitate bottom-up collaboration and eliminate communication barriers. In addition, they enable teams to collaborate on the same data even when they are geographically separated. This can help streamline day-to-day activities and reduce travel time. In addition, the digitalization of the world is changing the nature of customer behaviour. As a result, firms need to evolve to stay competitive. To achieve this, they must implement solid frameworks for secure digital transformation. 

[ludoonline]

Smart Cloud Cost Optimization: Strategies for Reducing Expenses Without Downtime

Cloud computing offers scalability, flexibility, and efficiency, but without proper management, costs can spiral out of control. Organizations often face challenges like over-provisioning, underutilized resources, and unexpected billing spikes. The key to reducing cloud expenses without impacting performance is smart cost optimization strategies.

In this blog, we’ll explore proven techniques to optimize cloud costs while ensuring high availability and uptime.

1. Understanding Cloud Cost Challenges

🔍 Why Do Cloud Costs Increase?

✔ Over-Provisioning – Allocating more resources than necessary, leading to wasted spending. ✔ Idle and Underutilized Resources – Instances running at low capacity or completely unused. ✔ Inefficient Scaling – Not using auto-scaling to adjust resources dynamically. ✔ Lack of Cost Visibility – Difficulty tracking real-time spending and forecasting future expenses. ✔ Data Transfer Costs – High expenses due to unoptimized data movement between regions and services.

Without proper monitoring and optimization, businesses end up paying for resources they don’t use.

2. Smart Strategies for Cloud Cost Optimization

💰 1. Implement Cost Monitoring and Analytics

Use cloud-native cost management tools to gain visibility into cloud spending:

AWS Cost Explorer

Azure Cost Management + Billing

Google Cloud Billing Reports

📊 Best Practice: Set up real-time alerts for unexpected cost increases and review billing dashboards regularly.

📉 2. Right-Size Cloud Resources

Right-sizing ensures that compute, storage, and database resources are optimized for actual workloads.

✅ Steps to Right-Size Resources: ✔ Analyze CPU, memory, and network usage trends. ✔ Scale down over-provisioned instances. ✔ Choose appropriate instance types for workloads. ✔ Leverage serverless computing (AWS Lambda, Azure Functions) for cost-efficient execution.

Example: A company running a large EC2 instance for a small workload can switch to a smaller instance and save 30-50% in costs.

🔄 3. Utilize Auto-Scaling and Load Balancing

Instead of keeping fixed resources running all the time, use auto-scaling to adjust resources based on demand.

✔ Auto-scaling tools:

AWS Auto Scaling

Google Cloud Autoscaler

Azure Virtual Machine Scale Sets

🔹 Load balancing distributes workloads efficiently, ensuring that no single instance is overutilized while others sit idle.

Example: A retail e-commerce site experiencing traffic spikes during sales events can auto-scale up during peak times and scale down during off-hours.

💾 4. Optimize Storage and Data Transfer Costs

Cloud storage can become a hidden cost drain if not managed properly.

✅ Storage Cost Optimization Tips: ✔ Use object lifecycle policies to automatically move old data to cheaper storage tiers (AWS S3 Intelligent-Tiering, Azure Blob Storage Tiers). ✔ Delete unused snapshots and backups. ✔ Compress and deduplicate data before storing.

🚀 Reducing Data Transfer Costs: ✔ Minimize cross-region data transfers. ✔ Use content delivery networks (CDNs) like AWS CloudFront to cache data and reduce direct transfer costs. ✔ Consolidate workloads in the same region to avoid inter-region charges.

💵 5. Use Reserved Instances and Savings Plans

Cloud providers offer discounts for committing to long-term resource usage.

✔ AWS Reserved Instances (RI) – Save up to 75% compared to on-demand pricing. ✔ Azure Reserved VM Instances – Offers cost savings for predictable workloads. ✔ Google Cloud Committed Use Discounts – Prepay for compute resources to reduce per-hour costs.

Example: A SaaS company running 24/7 workloads can switch to Reserved Instances and save thousands per year.

⚙ 6. Leverage Serverless and Containers

Serverless computing and containers help in reducing costs by using resources only when needed.

✔ Serverless services (AWS Lambda, Google Cloud Functions) charge only for execution time. ✔ Containers (Kubernetes, Docker) improve resource efficiency by running multiple applications on a single instance.

🔹 Why It Works?

No need to pay for idle infrastructure.

Applications scale automatically based on demand.

Reduces operational overhead.

3. Automating Cost Optimization with AI and Machine Learning

🌟 AI-powered tools analyze cloud usage patterns and provide real-time recommendations for cost savings.

🔹 Popular AI-driven Cost Optimization Tools: ✔ AWS Compute Optimizer – Suggests optimal EC2 instance types. ✔ Azure Advisor – Provides recommendations on reducing VM and database costs. ✔ Google Cloud Recommender – Identifies unused resources and suggests cost-saving actions.

🚀 Benefit: AI automates cost management, reducing manual intervention and improving cloud efficiency.

4. Key Takeaways for Smart Cloud Cost Optimization

✅ Monitor costs in real-time using cloud-native tools. ✅ Right-size resources to eliminate wasteful spending. ✅ Use auto-scaling and load balancing for efficient resource management. ✅ Optimize storage and minimize data transfer costs. ✅ Commit to Reserved Instances for long-term cost savings. ✅ Adopt serverless computing and containers for efficient resource usage. ✅ Leverage AI-driven cost optimization tools for automated savings.

🔹 By implementing these strategies, businesses can cut cloud costs significantly—without sacrificing performance or uptime.

Conclusion

Cloud cost optimization is not just about cutting expenses—it’s about using smart strategies to ensure efficiency, scalability, and high performance. With the right mix of monitoring, automation, and resource management, organizations can maximize cloud ROI while maintaining uninterrupted operations.

💡 Looking for expert cloud cost optimization solutions? Salzen Cloud helps businesses reduce costs, improve performance, and optimize cloud resources effortlessly. Contact us today!

[qcsdslabs]

Networking in OpenShift Virtualization: A Deep Dive

OpenShift Virtualization is a powerful extension of Red Hat OpenShift that enables you to run and manage virtual machines (VMs) alongside containerized workloads. Networking plays a crucial role in OpenShift Virtualization, ensuring seamless communication between VMs, containers, and external systems. In this blog, we will explore the core components and configurations that make networking in OpenShift Virtualization robust and flexible.

Key Networking Components

Multus CNI (Container Network Interface):

OpenShift Virtualization leverages Multus CNI to enable multiple network interfaces per pod or VM.

This allows VMs to connect to different networks, such as internal pod networks and external VLANs.

KubeVirt:

Acts as the core virtualization engine, providing networking capabilities for VMs.

Integrates with OpenShift’s SDN (Software-Defined Networking) to offer seamless communication.

OVN-Kubernetes:

The default SDN in OpenShift that provides Layer 2 and Layer 3 networking.

Ensures high performance and scalability for both VMs and containers.

Networking Models in OpenShift Virtualization

OpenShift Virtualization offers several networking models tailored to different use cases:

Pod Networking:

VMs use the same network as Kubernetes pods.

Simplifies communication between VMs and containerized workloads.

For example, a VM hosting a database can easily connect to application pods within the same namespace.

Bridge Networking:

Provides direct access to the host network.

Ideal for workloads requiring low latency or specialized networking protocols.

SR-IOV (Single Root I/O Virtualization):

Enables direct access to physical NICs (Network Interface Cards) for high-performance applications.

Suitable for workloads like real-time analytics or financial applications that demand low latency and high throughput.

MACVLAN Networking:

Assigns a unique MAC address to each VM for direct communication with external networks.

Simplifies integration with legacy systems.

Network Configuration Workflow

Define Network Attachments:

Create additional network attachments to connect VMs to different networks.

Attach Networks to VMs:

Add network interfaces to VMs to enable multi-network communication.

Configure Network Policies:

Set up rules to control traffic flow between VMs, pods, and external systems.

Best Practices

Plan Your Network Topology:

Understand your workload requirements and choose the appropriate networking model.

Use SR-IOV for high-performance workloads and Pod Networking for general-purpose workloads.

Secure Your Networks:

Implement Network Policies to restrict traffic based on namespaces, labels, or CIDR blocks.

Enable encryption for sensitive communications.

Monitor and Troubleshoot:

Use tools like OpenShift Console and kubectl for monitoring and debugging.

Analyze logs and metrics to ensure optimal performance.

Leverage Automation:

Automate network configuration and deployments using infrastructure-as-code tools.

Conclusion

Networking in OpenShift Virtualization is a sophisticated and flexible system that ensures seamless integration of VMs and containers. By leveraging its diverse networking models and following best practices, you can build a robust and secure environment for your workloads. Whether you are modernizing legacy applications or scaling cloud-native workloads, OpenShift Virtualization has the tools to meet your networking needs.

For more information visit: https://www.hawkstack.com/

[computingpostcom]

This guide will show you how to manage CentOS 8|RHEL 8 Linux from Cockpit web console. Cockpit is a free and open-source web-based administration console for Linux systems – CentOS, RHEL, Fedora, Ubuntu, Debian, Arch e.t.c. The cockpit is pre-installed with CentOS 8|RHEL 8 Base operating system – both server and workstation. It allows you to monitor and adjust system configurations with ease. Cockpit Features of Cockpit Cockpit allows you to perform the following system operations: Service Management – Start, stop, restart, reload, disable, enable, mask e.t.c User Account Management – Add users, delete, Lock, assign Administrator role, set password, force password change, Add Public SSH keys e.t.c. Firewall Management Cockpit Container management SELinux Policy management Journal v2 iSCSI Initiator configurations SOS-reporting NFS Client setup Configure OpenConnect VPN Server Privileged Actions – Shutdown, Restart system Join Machine to Domain Hardware Device Management System Updates for dnf, yum, apt hosts Manage the Kubernetes Node Install Cockpit on CentOS 8|RHEL 8 Linux The Cockpit web interface is installed on CentOS 8|RHEL 8 by default, but it is not activated. Before you can use it, ensure it is installed and service started. sudo dnf -y install cockpit Once Cockpit has been installed on CentOS 8, start and enable the service. sudo systemctl enable --now cockpit.socket If you have activated firewalld service, allow Cockpit port to be accessed from machines within the network. sudo firewall-cmd --add-service=cockpit --permanent sudo firewall-cmd --reload Access Cockpit Web Console on CentOS 8|RHEL 8 Linux The Cockpit web console can be accessed on the URL [https://(serverip or hostname):9090/]. The login screen should be displayed as shown above. Login with a local admin user added during installation or root user account. The system overview page should show up next. Use the left panel to choose a configuration option to do on your CentOS 8|RHEL 8 server. The example below will enable automatic updates on CentOS 8 system. This is done on Software Updates > Automatic Updates The “ON” button should turn blue, indicating the system will be updated automatically. Using Cockpit Terminal on CentOS 8|RHEL 8 There’s an embedded terminal in Cockpit which gives you flexibility to jump between a terminal and the web interface at any time. Explore more Cockpit features such as multiple servers management from a single Cockpit session.

[bloggerkhushi]

What is AWS?

The full form of AWS is Amazon Web Services. It is a platform that offers flexible, reliable, scalable, easy-to-use and, cost-effective cloud computing solutions.

AWS is a comprehensive, easy to use computing platform offered Amazon. The platform is developed with a combination of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS) offerings.

Important AWS Services Amazon Web Services offers a wide range of different business purpose global cloud-based products. The products include storage, databases, analytics, networking, mobile, development tools, enterprise applications, with a pay-as-you-go pricing model.📷Important AWSHServices.Hereere, are essential AWS services.AWS Compute Services .Here, are Cloud Compute Services offered by Amazon:1.EC2(Elastic Compute Cloud)- EC2 is a virtual machine in the cloud on which you have OS level control. You can run this cloud server whenever you want.

2.LightSail-This cloud computing tool automatically deploys and manages the computer, storage, and networking capabilities required to run your applications.3.ElasticBeanstalk- The tool offers automated deployment and provisioning of resources like a highly scalable production website.4.EKS(Elastic Container Service for Kubernetes)- The tool allows you to Kubernetes on Amazon cloud environment without installation.5.AWSLambda- This AWS service allows you to run functions in the cloud. The tool is a big cost saver for you as you to pay only when your functions execute.MigrationMigration services used to transfer data physically between your datacenter and AWS.DMS (Database Migration Service)– DMS service can be used to migrate on-site databases to AWS. It helps you to migrate from one type of database to another — for example, Oracle to MySQL. SMS (Server Migration Service)– SMS migration services allows you to migrate on-site servers to AWS easily and quickly. Snowball— Snowball is a small application which allows you to transfer terabytes of data inside and outside of AWS environment. Storage Amazon Glacier- It is an extremely low-cost storage service. It offers secure and fast storage for data archiving and backup. Amazon Elastic Block Store (EBS)- It provides block-level storage to use with Amazon EC2 instances. Amazon Elastic Block Store volumes are network-attached and remain independent from the life of an instance. AWS Storage Gateway- This AWS service is connecting on-premises software applications with cloud-based storage. It offers secure integration between the company’s on-premises and AWS’s storage infrastructure. Security ServicesIAM (Identity and Access Management)— IAM is a secure cloud security service which helps you to manage users, assign policies, form groups to manage multiple users. Inspector— It is an agent that you can install on your virtual machines, which reports any security vulnerabilities. Certificate Manager— The service offers free SSL certificates for your domains that are managed by Route53. WAF (Web Application Firewall)— WAF security service offers application-level protection and allows you to block SQL injection and helps you to block cross-site scripting attacks. Cloud Directory— This service allows you to create flexible, cloud-native directories for managing hierarchies of data along multiple dimensions. KMS (Key Management Service)— It is a managed service. This security service helps you to create and control the encryption keys which allows you to encrypt your data. Organizations— You can create groups of AWS accounts using this service to manages security and automation settings. Shield— Shield is managed DDoS (Distributed Denial of Service protection service). It offers safeguards against web applications running on AWS. Macie— It offers a data visibility security service which helps classify and protect your sensitive critical content. GuardDuty— It offers threat detection to protect your AWS accounts and workloads. Database ServicesAmazon RDS- This Database AWS service is easy to set up, operate, and scale a relational database in the cloud. Amazon DynamoDB- It is a fast, fully managed NoSQL database service. It is a simple service which allow cost-effective storage and retrieval of data. It also allows you to serve any level of request traffic. Amazon ElastiCache- It is a web service which makes it easy to deploy, operate, and scale an in-memory cache in the cloud. Neptune- It is a fast, reliable and scalable graph database service. Amazon RedShift- It is Amazon’s data warehousing solution which you can use to perform complex OLAP queries. AnalyticsAthena— This analytics service allows perm SQL queries on your S3 bucket to find files. CloudSearch— You should use this AWS service to create a fully managed search engine for your website. ElasticSearch— It is similar to CloudSearch. However, it offers more features like application monitoring. Kinesis— This AWS analytics service helps you to stream and analyzing real-time data at massive scale. QuickSight— It is a business

analytics tool. It helps you to create visualizations in a dashboard for data in Amazon Web Services. For example, S3, DynamoDB, etc. EMR (Elastic Map Reduce)— This AWS analytics service mainly used for big data processing like Spark, Splunk, Hadoop, etc. Data Pipeline— Allows you to move data from one place to another. For example from DynamoDB to S3. Management ServicesCloudWatch— Cloud watch helps you to monitor AWS environments like EC2, RDS instances, and CPU utilization. It also triggers alarms depends on various metrics. CloudFormation— It is a way of turning infrastructure into the cloud. You can use templates for providing a whole production environment in minutes. CloudTrail— It offers an easy method of auditing AWS resources. It helps you to log all changes. OpsWorks— The service allows you to automated Chef/Puppet deployments on AWS environment. Config— This AWS service monitors your environment. The tool sends alerts about changes when you break certain defined configurations. Service Catalog— This service helps large enterprises to authorize which services user will be used and which won’t. AWS Auto Scaling— The service allows you to automatically scale your resources up and down based on given CloudWatch metrics. Systems Manager— This AWS service allows you to group your resources. It allows you to identify issues and act on them. Managed Services— It offers management of your AWS infrastructure which allows you to focus on your applications. Internet of ThingsIoT Core— It is a managed cloud AWS service. The service allows connected devices?like cars, light bulbs, sensor grids, to securely interact with cloud applications and other devices. IoT Device Management— It allows you to manage your IoT devices at any scale. IoT Analytics— This AWS IOT service is helpful to perform analysis on data collected by your IoT devices. Amazon FreeRTOS— This real-time operating system for microcontrollers helps you to connect IoT devices in the local server or into the cloud. Application ServicesStep Functions— It is a way of visualizing what’s going inside your application and what different microservices it is using. SWF (Simple Workflow Service)— The service helps you to coordinate both automated tasks and human-led tasks. SNS (Simple Notification Service)— You can use this service to send you notifications in the form of email and SMS based on given AWS services. SQS (Simple Queue Service)— Use this AWS service to decouple your applications. It is a pull-based service. Elastic Transcoder— This AWS service tool helps you to changes a video’s format and resolution to support various devices like tablets, smartphones, and laptops of different resolutions. Deployment and ManagementAWS CloudTrail: The services records AWS API calls and send backlog files to you. Amazon CloudWatch: The tools monitor AWS resources like Amazon EC2 and Amazon RDS DB Instances. It also allows you to monitor custom metrics created by user’s applications and services. AWS CloudHSM: This AWS service helps you meet corporate, regulatory, and contractual, compliance requirements for maintaining data security by using the Hardware Security Module(HSM) appliances inside the AWS environment. Developer ToolsCodeStar— Codestar is a cloud-based service for creating, managing, and working with various software development projects on AWS. CodeCommit— It is AWS’s version control service which allows you to store your code and other assets privately in the cloud. CodeBuild— This Amazon developer service help you to automates the process of building and compiling your code. CodeDeploy— It is a way of deploying your code in EC2 instances automatically. CodePipeline— It helps you create a deployment pipeline like testing, building, testing, authentication, deployment on development and production environments. Cloud9— It is an Integrated Development Environment for writing, running, and debugging code in the cloud. Mobile ServicesMobile Hub— Allows you to add, configure and design features for mobile apps. Cognito— Allows users to signup using his or her

social identity. Device Farm— Device farm helps you to improve the quality of apps by quickly testing hundreds of mobile devices. AWS AppSync— It is a fully managed GraphQL service that offers real-time data synchronization and offline programming features. Business ProductivityAlexa for Business— It empowers your organization with voice, using Alexa. It will help you to Allows you to build custom voice skills for your organization. Chime— Can be used for online meeting and video conferencing. WorkDocs— Helps to store documents in the cloud WorkMail— Allows you to send and receive business emails. Desktop & App StreamingWorkSpaces— Workspace is a VDI (Virtual Desktop Infrastructure). It allows you to use remote desktops in the cloud. AppStream— A way of streaming desktop applications to your users in the web browser. For example, using MS Word in Google Chrome. Artificial IntelligenceLex— Lex tool helps you to build chatbots quickly. Polly— It is AWS’s text-to-speech service allows you to create audio versions of your notes. Rekognition — It is AWS’s face recognition service. This AWS service helps you to recognize faces and object in images and videos. SageMaker— Sagemaker allows you to build, train, and deploy machine learning models at any scale. Transcribe— It is AWS’s speech-to-text service that offers high-quality and affordable transcriptions. Translate— It is a very similar tool to Google Translate which allows you to translate text in one language to another. Applications of AWS services Amazon Web services are widely used for various computing purposes like:Web site hosting Application hosting/SaaS hosting Media Sharing (Image/ Video) Mobile and Social Applications Content delivery and Media Distribution Storage, backup, and disaster recovery Development and test environments Academic Computing Search Engines Social Networking Advantages of AWS Following are the pros of using AWS services:AWS allows organizations to use the already familiar programming models, operating systems, databases, and architectures. It is a cost-effective service that allows you to pay only for what you use, without any up-front or long-term commitments. You will not require to spend money on running and maintaining data centers. Offers fast deployments You can easily add or remove capacity. You are allowed cloud access quickly with limitless capacity. Total Cost of Ownership is very low compared to any private/dedicated servers. Offers Centralized Billing and management Offers Hybrid Capabilities Allows you to deploy your application in multiple regions around the world with just a few clicks Disadvantages of AWS If you need more immediate or intensive assistance, you’ll have to opt for paid support packages. Amazon Web Services may have some common cloud computing issues when you move to a cloud. For example, downtime, limited control, and backup protection. AWS sets default limits on resources which differ from region to region. These resources consist of images, volumes, and snapshots. Hardware-level changes happen to your application which may not offer the best performance and usage of your applications. Best practices of AWS You need to design for failure, but nothing will fail. It’s important to decouple all your components before using AWS services. You need to keep dynamic data closer to compute and static data closer to the user. It’s important to know security and performance tradeoffs. Pay for computing capacity by the hourly payment method. Make a habit of a one-time payment for each instance you want to reserve and to receive a significant discount on the hourly charge.

📷

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[govindhtech]

Google Cloud powered core banking innovation: Mambu

Google Cloud global partnership with Mambu

When the founders started Mambu in 2011 with the intention of introducing the most cutting-edge digital technology to the banking and finance industries. Particularly the banking sector is one with a long history of outdated technologies. Therefore, in just the first two years, Mambu was adopted by 100 microfinance companies in 26 countries.

Since then, financial services organizations (FSIs) have been more accepting of upgrading core banking services utilizing composable, cloud technology. We currently provide services to top tier banks, fintech startups, and other financial institutions on six continents, assisting them in providing dependable, flexible, and personalized banking products and services to their clients.

Our collaboration with Google Cloud has been one of the key factors in our ability to scale the Mambu composable banking platform globally and at our present rate. The choice to use Google Cloud was made for a number of reasons.

1. Openness and flexibility: Many FSIs utilize hybrid and multicloud technology stacks because they may still be migrating from outdated systems or because their data residency policies need them to use several clouds across various geographies. Wherever a customer is in their cloud journey, Mambu joins them there.

We advocate for interoperability without vendor entanglement. Mambu decided to evolve our platform on Google Kubernetes Engine (GKE) due to the benefits of scalability and the requirement for openness. Many clients utilize open-source Kubernetes because it may facilitate integration, accelerate time to market, and cut down on development. Furthermore, the Google Cloud open cloud strategy aligns with the principles of our business.

2. Data residency and security: Security is not simply front of mind for clients in highly regulated finance industry. It is also the most important necessity. In addition to its safe architecture, external audit certifications, and encryption, Google Cloud’s extensive network of regions has allowed us to grow into new nations and provide our services to banks that must adhere to national data residency laws.

For instance, we have been able to support Bank Jago in Indonesia as it expands financial inclusion for the unbanked in that nation thanks to Google Cloud’s Jakarta Cloud Region.

3. Accessibility: Even when there is a service disruption, banks must continue to provide essential financial services like collecting deposits and serving cash. A perfect redundancy, failover, and disaster recovery system was required from our cloud partner.

Image

The Mambu platform employs GKE as well as a number of other Google Cloud services, including Cloud Armor, Cloud Load Balancing, Cloud VPN, Cloud Memorystore, and Google Cloud Operations, for particular purposes.

Our decision to work with Google Cloud was also influenced by the company’s extensive ecosystem and dedication to innovation. We are halfway through a three year process to update our own technological stack to satisfy client expectations.

Utilizing Google Cloud to create a roadmap

Our clients require a core financial technology platform that they can expand on as they launch new services based on cutting-edge technological innovations. Mambu needs a cloud partner that can support and scale with our expansion if it is to be that platform. Despite the fact that we first developed our cloud architecture using GKE and Compute Engine (along with a few other Google Cloud services), we are now looking to a serverless future where we can scale more quickly and use managed services inside Google Cloud and its partner ecosystem to concentrate on our core offers.

Here are a few examples of the modernization and customer driven innovations we’re working on right now:

More workloads in GKE: Our cloud transformation is ongoing, much like that of many other businesses. Despite the fact that a big portion of our code base is in GKE, we’re still breaking up some larger pieces of code into microservices to boost agility and velocity.

This allows us to make regular modifications to specific parts of our platform without affecting the platform as a whole. GKE continues to be a natural fit and is the industry leader for orchestrating microservices at scale.

Native BigQuery integration: The platform’s Mambu users gather a ton of data that can be used for analytics, customization, and other use cases. In order to help customers make better use of their priceless data, we intend to develop a smooth integration for transferring core banking data from Mambu into BigQuery.

CloudSQL vs. self-managed MySQL:We are almost finished moving from our own MySQL instances to managed Cloud SQL databases, which will create new options to build customer centric solutions like BigQuery integration.

Mambu is benefiting from a serverless future with Cloud Run: Compute Engine because it gives it the freedom to select the virtual machines that best match its needs for performance and cost. We believe the elastic scalability of a serverless architecture built on Cloud Run will get us there and are exploring adopting serverless in the future as we seek even more time and cost efficiencies.

This would enable us to fire up containers to match the high transaction per second needs of our customers, spin them down when not required, and just charge for usage. It would also abstract infrastructure for easier management. Additionally, it would increase security because there would be no need for updates or fixes because new instances would always be isolated and untried.

These are only a few instances of how we hope to use Google Cloud services to streamline the way we manage our tech stack and further improve security, scalability, and speed. We’re also looking into a number of other concepts, like leveraging Dataproc and Datastream to meet the unique data requirements of Islamic banking, Cloud Functions to allow users to execute their own Mambu searches, and AI enabled capabilities.

Our goal at Mambu is to enable our customers to easily provide excellent modern finance experiences to everyone on the planet. We have the opportunity to join a new market each time Google Cloud creates a new data center. We gain time to develop new strategies for delivering customer centric banking solutions each time we switch to a managed service that is brand-new to us via the Google Cloud Marketplace. We therefore anticipate maintaining our relationship with Google Cloud for a very long time.

[neptunecreek]

EFF is Highlighting LGBTQ+ Issues Year-Round

EFF is dedicated to ensuring that technology supports freedom, justice and innovation for all the people of the world. While digital freedom is an LGBTQ+ issue, LGBTQ+ issues are also digital rights issues. For example, LGBTQ+ communities are often those most likely to experience firsthand how big tech can restrict free expression, capitulate to government repression, and undermine user privacy and security. In many ways, the issues faced by these communities today serve as a bellwether of the fights other communities will face tomorrow. This is why EFF is committing to highlight these issues not only during Pride month, but year-round on our new LGBTQ+ Issue Page.

Centering LGBTQ+ Issues

Last month many online platforms featured pride events and rainbow logos (in certain countries). But their flawed algorithms and moderation restrict the freedom of expression of the LGBTQ+ community year-round. Some cases are explicit, like when blunt moderation policies, responding in part to FOSTA-SESTA, shut down discussions of sexuality and gender. In other instances, platforms, such as TikTok, will more subtly restrict LGBTQ+ content allegedly to “protect” users from bullying– while promoting homophobic and anti-trans content.

Looking beyond the platforms, government surveillance of LGBTQ+ individuals is also a long standing concern, including such historic cases as 1960’s FBI Director J. Edgar Hoover’s maintaining a "Sex Deviant" file used for state abuse. In addition to government repression seen in the U.S. and internationally,  data collection from apps disproportionately increases the risk to LGBTQ+ people online and off, because exposing this data can enable targeted harassment. These threats in particular were explored in a blog post last month on Security Tips for Online LGBTQ+ Dating.

At Home with EFF: Pride Edition

For the second year in a row, EFF has held an At Home with EFF livestream panel to highlight these and other related issues, facilitated by EFF Technologist Daly Barnett. This year's panel featured Hadi Damien, co-president of InterPride; moses moon, a writer also known as @thotscholar; Ian Coldwater, Kubernetes SIG Security co-chair; and network security expert Chelsea Manning. 

This conversation featured a broad range of expert opinions and insight on a variety of topics, from how to navigate the impacts of tightly controlled social media platforms, to ways to conceptualize open source licensing to better protect LGBTQ+ individuals.  

If you missed this informative discussion, you can still view it in its entirety on the EFF Facebook, Periscope, or YouTube page (video below):

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LGBTQ+ community resources

Now that June has drawn to a close, there are some ongoing commitments from EFF which can help year-round. For up-to-date information on LGBTQ+ and digital rights issues, you can refer to EFF’s new LGBTQ+ issue page. Additionally EFF maintains an up-to-date digital security advice project, Surveillance Self Defense, which includes a page specific to LGBTQ+ youth. 

LGBTQ+ activists can refer to the EFF advocacy toolkit, and, if their work intersect with digital rights, are invited to reach out to the EFF organizing team at organizing@eff.org. People regularly engaging in digital rights and LGBTQ+ issues should also consider joining EFF’s own grassroots advocacy network, the Electronic Frontier Alliance.

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