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Database Management in the Cloud Computing Era

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Database Management in the Cloud Computing Era

A cloud computing database is ideally a service that is built, deployed, and delivered via a cloud platform. A cloud platform as a service (PaaS) delivery model allows organizations, end-users and applications to store, manage and retrieve data using the cloud. When seen from a structural and design perspective, a cloud database is not very different from one that operates its business using its own on-premise servers. However, ever since big data has entered space, database management has become a little more complex. In addition to all the traditional and structured data, we also have semi-structured and unstructured data coming in from almost all directions.

In recent times, there has been significant adoption of cloud platforms, infrastructures and services. The idea of the blend of cloud technology with database services has garnered more demand with respect to management.

Cloud databases, which arealso widely termed Database-as-a-Service (DaaS), offer various added options for organizations to choose. With the current rate of adoption, experts have a strong feeling that DaaS will, just like any other "as-a-service", will become the standard solution for all highly sensitive and mission-critical data.


How Can Cloud Database Management Help Your Business?

Every organization has the constant need to manage its data in the most efficient way possible. A cloud database effectively fulfills all the needs of any organization with respect to data, ranging from keeping the information secure, accurate and consistent for resource utilization and optimal performance. Cloud data management is constantly changing the way organizations think about data. The cloud helps bring in the required versatility, security, and professional data management assistance that is required. For any business to survive and succeed, it should ensure that the data is healthy so that everyone in the organization has access to the data they need, when they need it.

"Line-of-business leaders everywhere are bypassing IT departments to get applications from the cloud (also known as software as a service, or SaaS) and pay for them similar to a magazine subscription. And when the service is no longer required, they can cancel that subscription with no equipment left unused in the corner." - Daryl Plummer, Gartner analyst


Effective Strategies forDatabase Management in Cloud Computing

Using a cloud-based database ensures that it is easy for your database to grow along with your needs and requirements, in addition to scaling up or down on-demand to accommodate specific peak-workload phases. Ideally, before procuring a cloud data management system, it is essential to have a solid strategy that would suit best with your organization's ecosystem and, at the same time, would also help you getthe most out of the system you select.


Exploring the Best Practices for DBM in Cloud Computing

With the idea ofeffectively developing, monitoring and managing database infrastructure, there are various methods that organizations can use. These days, organizations also have the option for a ready-made database management system or picking a tailored solution as per their requirements. Keeping all these aspects in mind, it is also essential that these organizations enroll themselves in the best practices followed to ensure optimum results are achieved.

Some of the best practices for database management in cloud computing are mentioned below:

  • Before moving to the cloud, build a robust data management architecture.
  • Give cloud data integration requirements the first priority.
  • Regardless of the data's platform or location, govern it comprehensively.
  • Use encryption and VPN to protect data in transit.
  • Automate database management tasks to keep track of them.


Why Is Cloud DBMS the C-Suite’s Pick?

While it is more than evident that in today's age and time, data management is one of the most crucial components of any organization, it is also right up the area of value addition for all the top executives in an organization. Every industry relies vastly on data and its management, with the significant shift towards cloud servicestaking place constantly several organizations and the c-suite are now evaluating what cloud services bring to their table, especially on the data front. Once the core pain points are assessed and the c-suite gets the picture of how cloud database management systems would help them become more efficient, there wouldn't be any other obvious choice.

Microsoft Consulting Services, along with Tata Consultancy Services (TCS), partnered with Walgreens to create the Information, Data, and Insights (IDI) platform powered by Azure.When patients or medical providers initiate the prescription fulfilment process, Azure Databricks and Azure Synapse Analytics move hundreds of related data points through the IDI. Pharmacists can access information through a centralized dashboard interface and request data visualizations.Pharmacists gain real-time insights, and the system can scale as needed to meet current needs. During peak times, the platform can handle more than 40,000 transactions per second. Compared to Walgreens’ previous solution, the private cloud-based architecture, saves an enormous amount of time on every transaction — prescription data that once took about 48 hours to reach its data warehouse can be handled by Walgreens within minutes.


Conclusion

With the next big things being data and the cloud, how can an amalgamation of both be wrong? Having said this, everyone willhave their own share of concerns and questions. But with what is being built and functions being worked upon, this space is bound to bring in numerous opportunities. So when the world is slowly makingthis shift, it's time you reconsidered, if you haven't already, before you get overwhelmed at the helm of data!


FAQ


What Are the Best Features Available in Cloud Database Management?

While there are numerous features that one can leverage using Cloud Database Management, the top 5 of its features are listed below:

  • Elasticity
  • Scalability
  • High availability
  • Easy data reduction
  • Redundancy


Which Is the Most Popular Cloud Database?

One of the most popular and widely used cloud databases is the Microsoft Azure cloud database. It provides services in computing, networking, databases, analytics, artificial intelligence, and the Internet of Things.


In Cloud Computing, What Is Database Management?

Cloud data management is a technique for managing data across cloud platforms, either in combination with or instead of on-premises storage. Disaster recovery, backup, and long-term archiving can benefit from using the cloud as a data storage tier. In addition, resources can be acquired as needed using cloud data management.

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LogRhythm Unveils Major Advancements to Cloud-Native SIEM Platform, LogRhythm Axon

Business Wire | October 04, 2023

LogRhythm, the company helping security teams stop breaches by turning disconnected data and signals into trustworthy insights, today announced its 6th consecutive quarterly release and the one-year anniversary of its groundbreaking cloud-native SaaS SIEM platform, LogRhythm Axon. This quarterly release introduces significant enhancements and expansion to Axon and the full suite of LogRhythm solutions, underscoring the company's commitment to continuous innovation in the global cybersecurity landscape. "In a dynamic and ever-evolving cybersecurity landscape, LogRhythm is obsessed with delivering value our customers care about,” said Chris O’Malley, CEO of LogRhythm. “As we celebrate the one-year anniversary of Axon's launch, customer satisfaction is our first priority, guiding every decision we make. We believe that by driving continuous improvements in innovation delivery rooted in well understood customer needs, we can empower our product users to navigate the complex world of cybersecurity with confidence and efficiency." SOC Efficiency and Streamlined Analyst Workflows LogRhythm’s latest Axon release rounds out the ability to seamlessly detect, investigate, and respond to potential threats within a security operations center. With the foundation of incident response, security teams can now leverage Axon to automate team workflows through case management. Case management enables analysts to automatically create cases that enable investigative workflows to track responses to threats, thus mitigating duplication of efforts and optimizing threat mitigation strategies. In addition, Axon’s new Signal Replay feature enables SOC teams to test analytics rules to ensure detections are optimized for their environment. Continuing the effort to advance SOC efficiency, LogRhythm SIEM now provides seamless integration of log source onboarding through centralized management. This enhanced SIEM capability eliminates the need for administrators to navigate several servers and UIs to complete onboarding, thereby streamlining workflows through a single interface, increasing productivity, and reducing the administrative process in half. Bridging the Skills Gap LogRhythm continues to address the industry-wide skills gap by providing features that enhance the productivity and onboarding processes for security analysts. The new in-product resource centers for both LogRhythm SIEM and LogRhythm Axon equip security teams with tools they need to quickly understand how to best utilize the platforms and realize a faster time to value. This comprehensive resource hub provides quick access to tutorials, documentation, release information, and the LogRhythm Community for support from the security community. LogRhythm Expands Cloud-Native SIEM Platform to APAC LogRhythm is also pleased to announce the successful expansion of their LogRhythm Axon SIEM platform to the APAC region. With a new instance in Australia, LogRhythm Axon’s cloud-native SIEM will be available to provide customers with a flexible solution to strengthen security operations and ensure comprehensive protection. In partnership with Seamless Intelligence, LogRhythm’s partner of the year in Australia, a managed services layer will also be available for LogRhythm Axon customers. “LogRhythm Axon significantly advances what customers can and should expect from a cloud-native SaaS SIEM platform. We’ve been impressed with its platform design and architecture, as well as the continuous pace of innovation,” said Chris Bolan, Managing Director of Seamless Intelligence. “Our Axon managed services are being developed to take advantage of the platform’s capabilities and to provide our clients with the world-class cybersecurity solution and services needed to keep their organizations safe.” Additional enhancements with LogRhythm SIEM, LogRhythm NDR and LogRhythm Axon solutions released in this quarterly rollout include: LogRhythm Axon: User anomaly detection for improbable travel allows protection against abnormal access attempts into an organization's environment. New case management feature automates incident response and investigative workflows, helping SOC teams delegate resources, prioritize their work and improve efficiency. Cases and email notifications can be automatically created or sent when an analytic rule is triggered, indicating an event requires immediate attention. Ability to search common events allows analysts to find relevant security events across different vendors’ log sources without having prior knowledge of the underlying log structure. New signal replay enhances threat detection development process by allowing testing for analytics rules to ensure they are fine-tuned and optimized for their environment. LogRhythm SIEM: Streamlined onboarding of Beats and Open Collectors, a collection of LogRhythm services that gather and normalize data from various cloud providers, in a single location to cut the workflow in half. Enhanced API log source onboarding for easier management of Open Collectors and Beats. Expanded library of supported log sources and parsing for improved correlation and analysis. In-product Resource Center for access to tutorials, announcements, docs, and support. LogRhythm NDR: IP Behind Load Balancer Tracking for faster triage capabilities when responding to incidents. Enhanced model output contextualization to empower quicker action to threats as relevant information is readily available. In addition to LogRhythm's commitment to innovation and seamless cybersecurity solutions, Novacoast has also emerged as the first Axon services provider for LogRhythm's customer base. Novacoast's expertise in delivering innovative cybersecurity services adds a new layer of value to the already impressive suite of LogRhythm Axon capabilities. “This strategic partnership reflects the platform's efficacy and flexibility in enhancing security programs across diverse environments,” said Jonathan Poon, CISO at Novacoast. “As LogRhythm continues to adapt its Axon offerings to address customer requirements, we are proud to be part of this evolution, propelling the cybersecurity landscape forward. Together, we are addressing industry needs and setting the standard for security services.” About LogRhythm LogRhythm helps security teams stop breaches by turning disconnected data and signals into trustworthy insights. From connecting the dots across diverse log and threat intelligence sources to using sophisticated machine learning that spots suspicious anomalies in network traffic and user behavior, LogRhythm accurately pinpoints cyberthreats and empowers professionals to respond with speed and efficiency. With cloud-native and self-hosted deployment flexibility, out-of-the-box integrations, and advisory services, LogRhythm makes it easy to realize value quickly and adapt to an ever-evolving threat landscape. Together, LogRhythm and our customers confidently monitor, detect, investigate, and respond to cyberattacks. Learn more at logrhythm.com.

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Cloud App Development

Ericsson and Google Cloud Jointly Develop an AI-Powered Cloud RAN

Ericsson | September 25, 2023

Ericsson and Google Cloud join forces to introduce Ericsson Cloud RAN on Google Distributed Cloud, enhancing automation and AI/ML capabilities for CSPs. The collaboration enables highly efficient and secure distributed cloud solutions, leveraging Google Cloud services like Vertex AI and BigQuery. Ericsson and Google Cloud's expanded partnership offers CSPs greater flexibility and advanced solutions to meet evolving network demands. Ericsson has announced an expansion of its partnership with Google Cloud, introducing an Ericsson Cloud RAN solution on Google Distributed Cloud (GDC). This collaboration, utilizing the x86-based accelerator stack, aims to provide integrated automation and orchestration through AI and ML. The solution promises faster service delivery, enhanced efficiency, and increased flexibility for communication service providers (CSPs) in their networks. GDC offers a fully managed hardware and software portfolio, extending Google Cloud's capabilities to the edge and data centers. The Ericsson vDU and vCU are successfully running on GDC Edge in the Ericsson Open Lab in Ottawa, Canada. Deploying Ericsson Cloud RAN on GDC Edge enables a highly efficient, secure, and scalable distributed cloud for radio access network infrastructure. Running Ericsson Cloud RAN on GDC Edge will enable CSPs to leverage Google Cloud services such as Vertex AI and BigQuery to enhance the usability of data sets from Cloud RAN applications, offering opportunities for better control and optimization. This collaboration allows CSPs to build networks based on open standards and interface with multiple vendors. Ericsson's Cloud RAN solution is infrastructure-agnostic, accommodating various cloud infrastructures. To enhance cloud-native automation, Ericsson and Google Cloud are collaborating on the open-source project Nephio, aiming to standardize critical functionality. Mårten Lerner, Head of Product Line Cloud RAN at Ericsson, emphasizes the partnership's benefits for cloud-native solutions and automation, providing flexibility and choice for CSPs. Gabriele Di Piazza, Senior Director of Telecom Products at Google Cloud, acknowledges Ericsson as a distinguished Google Cloud Partner, highlighting their support for mutual customers. This expansion of the Ericsson-Google Cloud partnership aims to empower CSPs with advanced solutions for their evolving networks. The integration of Ericsson Cloud RAN with Google Distributed Cloud may add complexity to network management and require additional investment in personnel training for CSPs. The partnership between Ericsson and Google Cloud offers CSP automation and AI/ML capabilities for faster service delivery and greater network efficiency. Google Distributed Cloud ensures secure infrastructure, and CSPs can optimize data management with services like Vertex AI and BigQuery while maintaining vendor diversity through open standards and interfaces. This collaboration equips CSPs to meet evolving network demands effectively.

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