#Failover Clustering

[it-system-engineer]

Failover Cluster Node ve Shared Disk Ekleme

Merhaba, bu yazımda sizlere Failover Cluster Node ve Shared Disk Ekleme adımlarından bahsedeceğim. Failover cluster yapısı oluştururken, yeni bir node eklemek ve shared disk ayarlarını yapmak kritik adımlardır. Aşağıda bu işlemleri adım adım açıklayan bir doküman hazırladım. Failover Cluster’a Node Ekleme ve Shared Disk Ayarları Gereksinimler İşletim Sistemi: Windows Server (2016 ve sonrası…

[virtualizationhowto]

Windows Server 2025 New Failover Clustering Features

Windows Server 2025 New Failover Clustering Features @vexpert #vmwarecommunities #windowsserversummit #windowsserver2025 #failovercluster #clustering #homelab #virtualization #hyperv #vhtforums #azurestackhci #clusterosrollingupgrade

As we have covered in our Windows Server 2025 series of new features, there are many great new improvements with Microsoft’s new server operating system. In this post, we will key in on the improvements specific to Windows Failover Clustering and Windows Server 2025 new failover clustering features. Table of contentsFailover Clustering is evolvingAzure Stack HCI feature parity and Cluster OS…

[thedbahub]

Choosing Between Failover Cluster Instances and Availability Groups in SQL Server

In SQL Server, high availability and disaster recovery are crucial aspects of database management. Two popular options for achieving these goals are Failover Cluster Instances (FCIs) and Availability Groups (AGs). While both technologies aim to minimize downtime and ensure data integrity, they have distinct use cases and benefits. In this article, we’ll explore scenarios where Failover Cluster…

[sandeep2363]

Add the Quorum disk in the Failover Cluster Manager in Windows platform

Steps to add the Quorum disk in the Failover cluster need for SQL Server Management Always on Service Prerequisite: The iSCSI disk is already configured. Failover cluster is already installed and configured. Configure the Quorum Disks on the Failover cluster Open the Failover cluster manager, If it not show then right click on Failover cluster manager then try to connect the cluster on your…

[neatlywanderingtwist]

Understanding the Power of Windows Server for Modern Business Infrastructure

In today’s digital era, businesses rely heavily on secure and stable server environments. One of the most trusted platforms available is Windows Server. Developed by Microsoft, this server operating system powers networks, applications, databases, and enterprise-grade systems worldwide.

Whether you're managing files, databases, or virtual machines, Windows Server offers advanced features designed for both small businesses and large enterprises.

Why Choose Windows Server?

Windows Server delivers exceptional reliability and scalability. It helps IT teams create a secure, manageable, and flexible network environment. The platform supports both physical and virtual infrastructures.

Some key benefits include:

Active Directory integration

Built-in security features like Windows Defender

Remote desktop and storage management

Support for virtualization with Hyper-V

These features enable businesses to operate efficiently and securely, with minimal downtime and strong user access controls.

Advancements in Windows Server 2022

The release of Windows Server 2022 brought major enhancements. It’s built on a foundation of strong security, hybrid capabilities, and container support.

Here are a few standout features:

Secured-core server: Protects against firmware attacks

SMB over QUIC: Enables faster and safer file transfers

Azure Arc integration: Connects on-premise systems to cloud management tools

Improved performance for TCP and UDP traffic

These updates make Windows Server 2022 ideal for businesses that need a high-performance, future-ready solution.

How Windows Server Enhances Security

Cybersecurity threats are on the rise. That's why Microsoft included advanced protection in its latest releases. Windows Server uses features like Windows Defender, BitLocker, and Secure Boot to prevent unauthorized access and system corruption.

In Windows Server 2022, security is even more robust. The new “Secured-core” feature protects critical firmware and system components. It prevents attacks that bypass traditional antivirus tools.

The server also supports encrypted DNS and HTTPS for secure data transmission.

Subheading: Windows Server for Virtualization and Cloud Integration

Virtualization has become a cornerstone of modern IT. Windows Server includes Hyper-V, a powerful hypervisor that lets you run multiple operating systems on the same machine.

You can also integrate Windows Server with Microsoft Azure. This allows hybrid cloud setups that combine on-premise and cloud-based resources.

Windows Server 2022 supports Azure Arc, which offers centralized control of cloud and on-premise assets. This feature streamlines management and improves visibility across complex environments.

Scalable and Reliable Network Infrastructure

Windows Server is designed to scale with your business. Whether you’re adding new users, departments, or services, the server supports growth.

With features like Network Load Balancing (NLB) and Failover Clustering, downtime is minimized. These tools distribute traffic and automatically shift loads when systems fail.

Windows Server also supports Storage Spaces Direct. This allows you to build highly available storage systems using local disks. These setups are cost-effective and easy to maintain.

Managing User Access and Permissions

One of the most valuable features of Windows Server is Active Directory. It allows you to manage users, devices, and permissions from a single interface.

You can define roles, assign access levels, and enforce security policies. This is crucial in business environments where data privacy and security are top priorities.

Windows Server 2022 enhances group policy processing speed. It also introduces more logging capabilities for better tracking and compliance.

Subheading: Comparing Windows Server Versions for Your Business

Over the years, Microsoft has released several versions of Windows Server. From 2008 to Windows Server 2022, each update has introduced key innovations.

The 2022 version stands out for its:

Cloud readiness

Zero Trust architecture

Enhanced performance metrics

Integrated management tools

If your business needs top-tier security, fast performance, and cloud compatibility, Windows Server 2022 is the clear choice.

Licensing and Support Options

Microsoft offers flexible licensing for Windows Server. You can choose between Standard, Datacenter, and Essentials editions depending on your needs.

Each edition comes with its own set of features. Essentials is best for small businesses. Datacenter supports unlimited virtualization. Standard offers a balance of functionality and cost.

Updates and patches are regularly released, keeping your server secure and compliant.

Final Thoughts: Is Windows Server Right for You?

If your organization requires a stable, scalable, and secure IT foundation, Windows Server is a smart investment. It offers everything from identity management to storage, remote access, and virtual machine hosting.

For advanced capabilities and future-proof performance, Windows Server 2022 delivers unmatched value. It’s packed with tools to meet modern IT challenges, whether on-site or in the cloud.

With its proven track record, continual updates, and seamless integration with Microsoft tools, Windows Server remains a top choice for businesses worldwide.

[pteltdxelware]

Storage and Compute with Windows Server Course in Singapore – Build Essential Infrastructure Skills with Xelware

In today’s dynamic IT landscape, organizations are increasingly adopting hybrid environments that blend on-premises infrastructure with cloud-based solutions. As a result, professionals with a deep understanding of Windows Server technologies, particularly in the areas of compute and storage, are in high demand. If you're looking to develop or upgrade your IT infrastructure skills, the Storage and Compute with Windows Server Course in Singapore, offered by Xelware, is the ideal choice.

This course prepares learners to configure advanced Windows Server services and aligns with the Microsoft AZ-801: Configuring Windows Server Hybrid Advanced Services certification. It's perfect for IT professionals looking to specialize in managing and optimizing enterprise infrastructure in hybrid environments.

Why Choose the Storage and Compute with Windows Server Course?

The AZ-801 certification course dives deep into configuring and managing core infrastructure services like virtualization, storage solutions, and hybrid configurations using Microsoft technologies. This course builds on foundational Windows Server knowledge and equips you with the practical skills needed to support today’s complex IT environments.

Key Benefits of This Course:

🛠️ Hands-On Training: Gain practical experience in configuring storage and compute resources across on-prem and cloud platforms.

📈 Career Boost: Add a recognized Microsoft certification to your resume to unlock roles like Systems Administrator, Infrastructure Engineer, or Server Specialist.

🧠 Hybrid Cloud Focus: Learn how to bridge your organization’s on-premises systems with Azure cloud services.

💼 In-Demand Skills: Master the configuration of Windows Server features including Hyper-V, failover clustering, iSCSI, storage spaces, and more.

As Singapore continues to grow as a technology hub, mastering hybrid IT infrastructures is key to staying competitive in the workforce.

What You Will Learn

The Storage and Compute with Windows Server Course at Xelware offers a detailed and comprehensive approach to managing enterprise-grade compute and storage infrastructures.

Key Topics Covered:

Manage Windows Server Workloads in a Hybrid Environment

Learn to integrate and manage on-premises environments with Microsoft Azure services, ensuring flexibility and scalability.

Implement and Manage Storage Solutions

Gain expertise in configuring iSCSI targets, storage replication, storage spaces direct (S2D), and failover clustering.

Configure Advanced Windows Server Features

Understand virtualization using Hyper-V, including VM deployment, checkpoints, and nested virtualization.

Manage Performance and Troubleshoot Windows Server Environments

Learn to optimize server performance, perform regular maintenance tasks, and diagnose common issues.

Implement Disaster Recovery and High Availability

Explore strategies for backup, restore, and high availability using built-in Windows Server tools and Azure Site Recovery.

Each topic is supported by live labs, real-world examples, and instructor-led training to reinforce hands-on learning and practical application.

Why Train with Xelware?

Xelware is one of Singapore’s most trusted IT training providers, known for delivering Microsoft-certified courses with real-world relevance. Whether you’re preparing for certification or improving your professional capabilities, Xelware ensures you’re learning from the best.

What Makes Xelware Stand Out:

🎓 Certified Trainers – Learn from Microsoft Certified Trainers (MCTs) with real industry experience.

💡 Practical Approach – Get hands-on training using real-time labs and hybrid setups.

🕒 Flexible Schedules – Choose from full-time, part-time, or online learning options.

📘 Updated Curriculum – Stay current with the latest Microsoft technologies and exam objectives.

🧭 Career Guidance – Receive resume reviews, exam tips, and job support post-certification.

We don’t just prepare you for exams—we prepare you for success in your job and career.

Who Should Enroll?

This course is designed for:

Windows Server administrators managing hybrid infrastructure

IT professionals preparing for the AZ-801 certification

Systems engineers working with virtualization and storage

Network and server administrators seeking to expand their skills into cloud integration

A basic understanding of Windows Server fundamentals or completion of the AZ-800 course is recommended for the best experience.

Elevate Your Infrastructure Skills with Xelware

As Singapore’s businesses continue to embrace digital transformation, the ability to manage hybrid infrastructures securely and efficiently is essential. Xelware’s Storage and Compute with Windows Server Course in Singapore empowers you with the skills and certification needed to meet modern IT demands.

Don't get left behind—invest in your career today and become a hybrid infrastructure expert.

[infernovm]

Building a multi-zone and multi-region SQL Server Failover Cluster Instance in Azure

Much has been written about SQL Server Always On Availability Groups, but the topic of SQL Server Failover Cluster Instances (FCI) that span both availability zones and regions is far less discussed. However, for organizations that require SQL Server high availability (HA) and disaster recovery (DR) without the added licensing costs of Enterprise Edition, SQL Server FCI remains a powerful and…

[fromdevcom]

HBase is the Hadoop Database, which is a NoSQL database running on top of Hadoop. HBase combines the Hadoop scalability by running on the HDFS (Hadoop Distributed File System) with real-time data.  In this article, Hadoop and big data professionals are introducing HBase and the major reasons behind its popularity. What is HBase? HBase is one of the open source distributed databases designed to store record-oriented data throughout a scalable machine cluster. Professionals refer HBase as a “sparse, distributed, consistent, persistent, multi-dimensional, sorted map.” Didn’t get it? Let explain a bit – Sparse – If a row has null value in a column, it doesn’t take space Distributed – rows are spread across several machines  Consistent – It is strongly consistent  Persistent – HBase stores data on disk with a log, hence it sticks around Sorted – All the rows in HBase are stored in sorted order so that user can seek them faster Multi-dimensional – Data stored in HBase is addressable in several dimensions- rows, tables, columns, versions, etc.  Why companies are using NoSQL store even if they have a relational database? We are not saying that relational database is useless. In fact, relational databases are terrific offering killer features- Ability to decompose the physical data storage into different conceptual buckets Modify the state of many related values atomically.  Salesforce is heavily dependent on the relational database. But then there is a subset of use cases that include unique requirements for relational data. Less emphasis on relationship webs that need complex transactions for correctness; and more emphasis on large data streams that accrue over time, and require linear access uniqueness.  Companies can store these in RDBMS. However, when they do, they pay a penalty (of scale and performance limitations) for features they don’t require. For those new use cases, HBase has been added to their toolkit. HBase can leverage the distributed processing paradigm available in HDFS. It can host large tables with billions of rows with millions of columns and run all over a cluster of commodity hardware. HBase is a robust and sturdy database that takes help of MapReduce to combine real-time query capabilities with value store speed and batch processing. In simple words, with HBase, companies can make a query for individual records and obtain aggregate analytic reports. Scalability – HBase supports scalability in both modular and linear format Sharding – Sharding of tables is supported by HBase. It is also configurable. Consistency – HBase also supports consistent read and write operations  Distributed storage – Distributed storage like HDFS is supported by HBase Failover support – HBase supports automatic failover  API support - Java APIs are supported by HBase  Backup support - Backup support for Hadoop MapReduce jobs in Hbase tables is available in HBase. MapReduce support – MapReduce support is available for parallel processing of bulk data Real-time processing – HBase supports block cache and Bloom filters to make real-time processing easy.  HBase is different from a relational database and needs a unique approach to modeling the data. It defines a four-dimensional data model and the below four coordinates explain each cell – Row key – Each row contains a unique row key. The row key doesn’t include data type and is treated internally as a byte array. Column family – row data is organized within column families; each row has the same set of column families, however across rows, the same column families don’t require the same column qualifiers. HBase stores column families within own data files.  Column qualifier – Column families explain actual columns known as column qualifiers.  Version – Each column can have configurable version numbers. You can access the data for certain version of a column qualifier.  Why HBase is the foremost choice of all the NoSQL stores? Choosing HBase is a key area of investment.

There are three factors that influence the decision making – HBase is a strongly consistent store – HBase is a CP store and not the AP store. Its consistency is amazing if used for an apt reason.  It’s a high-quality project – It is well respected in the community. Social networking platform like Facebook built its whole messaging infrastructure on HBase.  Hadoop ecosystem had an operational presence at Salesforce. Experts are applying Hadoop in the product for ages, and they know how it works. HBase uses HDFS for persistence and provides first-class integration with MapReduce. How HBase works? HBase scales in a linear way in order to provide a primary key to each table. Each key space is distributed into sequential block allotted to a region. The RegionServers control each region and distribute the load uniformly in a collected environment. In HBase, you get automating data sharding support, which eliminates the need for manual intervention. After deployment of HBase, HMaster and Zookeeper server are configured to offer cluster topology data to the HBase clients. Client apps linked to these utilities and acquire the list of RegionServers, key ranges, and regions information. It assists the client to determine the accurate data position and connect to the RegionServer directly. Caching support is provided by RegionServers that help in accessing rows frequently. This enhances the performance. Major reasons to use HBase are as under- Even if HBase offers multiple great functionalities, it is still not a ‘Fit for all’ solution. You need to consider following key areas prior using HBase for the application- Data volume – The data volume is one of the common things to consider. You should have PETA data bytes that have to be processed in a distributed environment.  Application type – Hbase is unsuitable for transactional apps, relational analytics, large volume MapReduce jobs, etc. If you have a variable schema with different rows or if you are going for a key dependent access to stored data, you can use HBase. Hardware environment – HBase runs on top of HDFS that works efficiently with a massive amount of nodes. If you are using good hardware, HBase can work for you. No relational features are needed Quick access to data These are the things making HBase so popular among Hadoop and Big data solutions companies. If you are planning to deploy HBase, do consider the above-discussed scenarios for better and efficient performance.

[coredgeblogs]

Kubernetes vs. Traditional Infrastructure: Why Clusters and Pods Win

In today’s fast-paced digital landscape, agility, scalability, and reliability are not just nice-to-haves—they’re necessities. Traditional infrastructure, once the backbone of enterprise computing, is increasingly being replaced by cloud-native solutions. At the forefront of this transformation is Kubernetes, an open-source container orchestration platform that has become the gold standard for managing containerized applications.

But what makes Kubernetes a superior choice compared to traditional infrastructure? In this article, we’ll dive deep into the core differences, and explain why clusters and pods are redefining modern application deployment and operations.

Understanding the Fundamentals

Before drawing comparisons, it’s important to clarify what we mean by each term:

Traditional Infrastructure

This refers to monolithic, VM-based environments typically managed through manual or semi-automated processes. Applications are deployed on fixed servers or VMs, often with tight coupling between hardware and software layers.

Kubernetes

Kubernetes abstracts away infrastructure by using clusters (groups of nodes) to run pods (the smallest deployable units of computing). It automates deployment, scaling, and operations of application containers across clusters of machines.

Key Comparisons: Kubernetes vs Traditional Infrastructure

Feature

Traditional Infrastructure

Kubernetes

Scalability

Manual scaling of VMs; slow and error-prone

Auto-scaling of pods and nodes based on load

Resource Utilization

Inefficient due to over-provisioning

Efficient bin-packing of containers

Deployment Speed

Slow and manual (e.g., SSH into servers)

Declarative deployments via YAML and CI/CD

Fault Tolerance

Rigid failover; high risk of downtime

Self-healing, with automatic pod restarts and rescheduling

Infrastructure Abstraction

Tightly coupled; app knows about the environment

Decoupled; Kubernetes abstracts compute, network, and storage

Operational Overhead

High; requires manual configuration, patching

Low; centralized, automated management

Portability

Limited; hard to migrate across environments

High; deploy to any Kubernetes cluster (cloud, on-prem, hybrid)

Why Clusters and Pods Win

1. Decoupled Architecture

Traditional infrastructure often binds application logic tightly to specific servers or environments. Kubernetes promotes microservices and containers, isolating app components into pods. These can run anywhere without knowing the underlying system details.

2. Dynamic Scaling and Scheduling

In a Kubernetes cluster, pods can scale automatically based on real-time demand. The Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler help dynamically adjust resources—unthinkable in most traditional setups.

3. Resilience and Self-Healing

Kubernetes watches your workloads continuously. If a pod crashes or a node fails, the system automatically reschedules the workload on healthy nodes. This built-in self-healing drastically reduces operational overhead and downtime.

4. Faster, Safer Deployments

With declarative configurations and GitOps workflows, teams can deploy with speed and confidence. Rollbacks, canary deployments, and blue/green strategies are natively supported—streamlining what’s often a risky manual process in traditional environments.

5. Unified Management Across Environments

Whether you're deploying to AWS, Azure, GCP, or on-premises, Kubernetes provides a consistent API and toolchain. No more re-engineering apps for each environment—write once, run anywhere.

Addressing Common Concerns

“Kubernetes is too complex.”

Yes, Kubernetes has a learning curve. But its complexity replaces operational chaos with standardized automation. Tools like Helm, ArgoCD, and managed services (e.g., GKE, EKS, AKS) help simplify the onboarding process.

“Traditional infra is more secure.”

Security in traditional environments often depends on network perimeter controls. Kubernetes promotes zero trust principles, pod-level isolation, and RBAC, and integrates with service meshes like Istio for granular security policies.

Real-World Impact

Companies like Spotify, Shopify, and Airbnb have migrated from legacy infrastructure to Kubernetes to:

Reduce infrastructure costs through efficient resource utilization

Accelerate development cycles with DevOps and CI/CD

Enhance reliability through self-healing workloads

Enable multi-cloud strategies and avoid vendor lock-in

Final Thoughts

Kubernetes is more than a trend—it’s a foundational shift in how software is built, deployed, and operated. While traditional infrastructure served its purpose in a pre-cloud world, it can’t match the agility and scalability that Kubernetes offers today.

Clusters and pods don’t just win—they change the game.

[hawkstack]

Simplifying Microservices with OpenShift Service Mesh

As organizations embrace microservices and containerized applications, managing service-to-service communication becomes increasingly complex. Developers must address traffic control, security, observability, and resiliency — all without slowing down innovation. This is where OpenShift Service Mesh steps in as a powerful solution.

What Is OpenShift Service Mesh?

OpenShift Service Mesh is a fully integrated service mesh built into the Red Hat OpenShift platform. Based on open-source technologies like Istio, Envoy, and Kiali, it allows developers and platform teams to manage microservices communication transparently — without needing to modify application code.

With OpenShift Service Mesh, teams gain the ability to connect, manage, observe, and secure microservices in a consistent and scalable way.

Key Features

1. Traffic Management

OpenShift Service Mesh provides advanced traffic control capabilities such as load balancing, retries, timeouts, and circuit breaking. These features ensure reliable communication between services and allow for smart routing decisions, like A/B testing and canary releases.

2. Built-In Security

Security is a critical component in any distributed system. OpenShift Service Mesh enables mutual TLS (mTLS) by default, ensuring encrypted communication between services. Fine-grained access policies can be applied to control who can talk to what, helping implement a zero-trust network architecture.

3. Observability and Insights

With integrated observability tools, teams can monitor service behavior and dependencies with visual dashboards. Metrics, logs, and traces are captured automatically, providing actionable insights to troubleshoot performance issues and optimize service behavior.

4. Policy Enforcement

OpenShift Service Mesh makes it easy to define and enforce operational policies such as rate limiting, quotas, and access controls. These policies are enforced uniformly across services, promoting consistency and reducing the risk of misconfigurations.

5. Multi-Cluster Support

As applications scale across multiple environments and regions, OpenShift Service Mesh supports multi-cluster deployments. This ensures continuity, failover capability, and centralized control across hybrid and multi-cloud environments.

Why Use OpenShift Service Mesh?

Seamless Integration: It’s natively integrated into the OpenShift platform, reducing the complexity of setup and operation.

No Code Changes Needed: Developers don’t need to alter their applications to benefit from mesh capabilities — everything is handled at the infrastructure level.

Enterprise-Grade Reliability: As a Red Hat-supported product, it offers stability, security updates, and long-term support for production workloads.

Unified Management: A single control plane helps manage service communications, security policies, and observability tools cohesively.

Real-World Use Cases

Managing Microservices at Scale: Easily control and secure communication between hundreds of services.

Secure Application Networking: Implement strong encryption and authentication between services automatically.

Progressive Delivery: Use advanced traffic routing to deploy new features safely through canary or blue/green deployments.

Operational Visibility: Gain full visibility into your service mesh with minimal overhead.

Conclusion

OpenShift Service Mesh brings structure and control to the chaotic world of microservices. By handling communication, security, and observability in a consistent, platform-native way, it empowers development teams to build faster and operate more reliably. Whether you're modernizing legacy applications or scaling new cloud-native workloads, OpenShift Service Mesh provides the tools you need to succeed.

For more details - www.hawkstack.com

[it-system-engineer]

Windows Failover Cluster Yapılandırması: Adım Adım Kılavuz

Merhaba, bu yazımda sizlere Windows Failover Cluster Yapılandırması: Adım Adım Kılavuz hazırlıyorum. Windows Failover Cluster, yüksek erişilebilirlik sağlamak amacıyla kullanılan bir teknolojidir. Bu yapı, sistemlerin kesintisiz çalışmasını ve donanım hatalarına karşı koruma sunmayı amaçlar. Bu makalede, Windows Server üzerinde failover cluster’ın nasıl yapılandırılacağını adım adım…

[lunapdu]

how is the power cabinets using in Data centers?

Overview of Precision Power Cabinet for Data Center** Designed for AI and DeepSeep large-scale model data centers, this precision power cabinet provides advanced power distribution and management features tailored for mission-critical AI computing environments: 1. **Ultra-Density Power**: Supports three-phase AC/400A input, with over 260kW capacity per cabinet, designed for GPU/TPU clusters and ultra-high-density AI/ML workloads. 2. **Nanosecond Monitoring**: Real-time and fine-grained tracking of voltage, current harmonics, and phase imbalance through IoT sensors for predictive load balancing and fault prevention. 3. **AI-Optimized Redundancy**: Dual active-active power supply with autonomous failover (switching time less than 10ms) to maintain uninterrupted large-scale model training cycles. 4. **Multi-layer Protection**: Combines arc flash detection, dynamic circuit breakers, and liquid-cooled busbars to eliminate hot spots and critical faults. 5. **Carbon-Neutral Operation**: Embedded energy coordination algorithms synchronize with renewable microgrids to achieve real-time carbon compensation verification.

The solution is deployed in AI training fields, hyperscale inference engines, and quantum-ready infrastructure, ensuring fault-tolerant power accuracy for next-generation intelligent computing. TG/whatsapp:+8615064239870

[govindhtech]

Memorystore For Valkey: An Open-Source Data Transformation

Memorystore, Google Cloud's fully managed in-memory solution for Valkey, Redis, and Memcached, is used by over 90% of the top 100 clients. Client installs increasingly use memorystore. Google Cloud made Memorystore for Valkey publicly available, advancing open-source cloud in-memory data management. The GA supports Memorystore for Valkey for production workloads including Private Service Connect, multi-VPC access, cross-region replication, persistence, and more. Also has 99.99% availability SLA.

Memorystore for Valkey was adopted by hundreds of Google Cloud users, including MLB and Bandai Namco Studios Inc., after its August 2024 preview. They've provided us invaluable feedback in recent months, which has shaped their new service:

Memorystore has helped Major League Baseball enhance fan data transmission. Google Cloud makes Memorystore for Valkey, an open-source alternative, widely available. They believe its built-in flexibility and community-driven development will boost speed, scalability, and real-time data processing to better serve players, fans, and operations.

Memorystore supports Bandai Namco Studios' high-scale, low-latency performance, essential for many titles. Memorystore for Valkey's GA launch thrills them. We can increase global player base and real-time gameplay with its features, speed, and open-source nature. It's pleased to adopt Memorystore for Valkey's gaming innovation.

The latest at GA

Memorystore for Valkey has the following enterprise-grade features and a 99.99% SLA powered by Google's high availability and zonal placement algorithms at GA:

Customers can connect to 250 shards with two IP addresses using Valkey's Memorystore's Private Service Connect. Memorystore's discovery endpoint is highly available, so your cluster has no single point of failure.

Memorystore for Valkey lets your cluster grow to meet application demands with cost-optimized functionality and zero-downtime scalability. Supported cluster sizes are 1–250 nodes.

Integrated Google-built vector similarity search: Memorystore for Valkey provides in-memory vector search, over a billion vectors, 99% recall, and single-digit millisecond latency.

Memorystore for Valkey uses Google's vector search module, the Valkey OSS project's official search module, to achieve this performance. The module supports RAG, recommendation systems, semantic search, and other AI applications. Hybrid search improves user experience and application performance by providing more accurate and contextually relevant results.

Integrated managed backups automate migration, compliance, and disaster recovery.

CRR provides low-latency measurements and disaster recovery preparedness. Google Cloud now supports two clustered regions with varied replica counts in addition to the primary region. Valkey's memorystore syncs the control and data planes across geographic borders.

Multiple client-side VPCs can access a Valkey cluster Private Service Connection endpoint using Memorystore for Valkey. Customers may be safely linked across projects and VPCs utilising this technique.

Persistence: Memorystore for Valkey offers RDB-snapshot and AOF-logging persistence for diverse data durability demands.

Memorystore for Valkey supports Valkey 7.2 and its improved engine, Valkey 8.0:

Great performance: Memorystore for Valkey 8.0's asynchronous I/O improvements raise throughput and achieve 2x QPS of Memorystore for Redis Cluster at microsecond latency, making it easy to manage internet-scale workloads.

Even if its pricing is equal to Memorystore for Redis Cluster, Memorystore for Valkey's performance optimisations may result in considerable cost savings by requiring fewer nodes to handle the same workload.

Optimised memory efficiency: Valkey 8.0 optimises memory management to save memory and reduce operating costs for various workloads.

Scalability is more reliable with Valkey 8.0's Google-contributed automatic failover for empty shards and highly available migration states. They added migration states auto-reparing for system resilience.

Memorystore for Valkey offers maintenance windows, single zone and shard clusters, free inter-zone replication, and more.

Customer trust and Google Cloud's open source commitment After Redis modified Redis OSS's licensing in March 2024, the open-source community launched Valkey OSS, funded by Google, Amazon, Snap, and others.

Your trust is highly appreciated. Memorystore for Valkey on Google Cloud offers access to powerful, open technologies. The Linux Foundation endorses Valkey OSS, which, unlike Redis, is licensed under the BSD 3-clause. It has been watching Valkey build steam.

It supports and enhances Memorystore for Redis Cluster, Redis, and Valkey. When Memorystore for Redis clients are ready to transition to Valkey because to its open-source, reliability, and price-performance ratio, Google Cloud provides comprehensive migration aid. Memorystore for Valkey's compliance with Redis OSS 7.2 APIs and your favourite clients simplifies open source migration. You may also reuse Memorystore for Redis and cluster committed usage discounts to ease the transfer.

Now try Valkey's Memorystore

Testing Memorystore for Valkey is the best way to determine its power. Start Valkey or read the documentation. Self-managing Redis shouldn't be difficult. Discover how Memorystore for Valkey powers apps and is simple to use. This lets you focus on designing effective and unique enterprise apps.

[modulesap]

A new SAP BASIS consultant faces several challenges when starting in the role. Here are the most common ones:

1. Complex Learning Curve

SAP BASIS covers a broad range of topics, including system administration, database management, performance tuning, and security.

Understanding how different SAP components (ERP, S/4HANA, BW, Solution Manager) interact can be overwhelming.

2. System Installations & Migrations

Setting up and configuring an SAP landscape requires deep knowledge of operating systems (Windows, Linux) and databases (HANA, Oracle, SQL Server).

Migration projects, such as moving from on-premise to SAP BTP or HANA, involve risks like downtime and data loss.

3. Performance Tuning & Troubleshooting

Identifying bottlenecks in SAP system performance can be challenging due to the complexity of memory management, work processes, and database indexing.

Log analysis and troubleshooting unexpected errors demand experience and knowledge of SAP Notes.

4. Security & User Management

Setting up user roles and authorizations correctly in SAP is critical to avoid security breaches.

Managing Single Sign-On (SSO) and integration with external authentication tools can be tricky.

5. Handling System Upgrades & Patching

Applying support packs, kernel upgrades, and enhancement packages requires careful planning to avoid system downtime or conflicts.

Ensuring compatibility with custom developments (Z programs) and third-party integrations is essential.

6. High Availability & Disaster Recovery

Understanding failover mechanisms, system clustering, and backup/restore procedures is crucial for minimizing downtime.

Ensuring business continuity in case of server crashes or database failures requires strong disaster recovery planning.

7. Communication & Coordination

Working with functional consultants, developers, and business users to resolve issues can be challenging if there’s a lack of clear communication.

Managing stakeholder expectations during system outages or performance issues is critical.

8. Monitoring & Proactive Maintenance

New BASIS consultants may struggle with configuring SAP Solution Manager for system monitoring and proactive alerts.

Setting up background jobs, spool management, and RFC connections efficiently takes practice.

9. Managing Transport Requests

Transporting changes across SAP environments (DEV → QA → PROD) without errors requires an understanding of transport logs and dependencies.

Incorrect transport sequences can cause system inconsistencies.

10. Staying Updated with SAP Evolution

SAP is rapidly evolving, especially with the shift to SAP S/4HANA and cloud solutions.

Continuous learning is required to stay up-to-date with new technologies like SAP BTP, Cloud ALM, and AI-driven automation.

Mail us on contact@anubhavtrainings.com

Website: Anubhav Online Trainings | UI5, Fiori, S/4HANA Trainings