Compare Oracle In-Memory Cost Management vs. Turn it Off

Whether you already have a platform team or are just at the beginning of your internal platform development, Cycloid is designed to complete your internal solution with high-quality building blocks focused on specific DevOps and hybrid cloud best practices. Self-service portal, cloud governance, RBAC, CI/CD pipelines, built-in FinOps, and GreenOps are all modules that you can pick and choose to complement your internal solution or begin your digital transformation. Like a piece of a puzzle, Git-based and lock-free Cycloid can fit into your organizational strategy and solve the burning issues at hand. We can be a pillar for your organizational transformation by empowering and upskilling your existing teams, as well as improving DevX, the developer experience. How? We offer an engineering platform dedicated to DevOps and hybrid cloud adoption, allowing you to optimize how DevOps and end-users use technologies and clouds while working in alignment on common projects.

Uptrends is all about cloud-based website performance that keeps track of performance, uptime, and functionality of your websites and APIs. The 24/7 monitoring service that proactively test your website and monitor multi-step transactions. Let’s face it—the Internet is a fragile thing. Stuff breaks or slows every now and then. Uptrends lets you know when it does and what exactly happened. Feel free to try Uptrends for 30 days with our free trial!

Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times. RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.

SPEC Innovations’ leading model-based systems engineering solution is designed to help your team minimize time-to-market, reduce costs, and mitigate risks, even with the most complex systems. Available as both a cloud-based and on-premise application, it offers an intuitive graphical user interface accessible through any modern web browser. Innoslate's comprehensive lifecycle capabilities include: • Requirements Management • Document Management • System Modeling • Discrete Event Simulation • Monte Carlo Simulation • DoDAF Models and Views • Database Management • Test Management with detailed reports, status updates, results, and more • Real-Time Collaboration And much more.

Lower expenses, boost project transparency, and maintain your budget effortlessly—with simple timesheets! ClickTime streamlines employee time planning and management, allowing you to track hours from your phone or computer, swiftly approve time entries, and use dashboards to oversee budgets and allocate employee time. Whether you're forecasting project expenses or evaluating past results, ClickTime delivers immediate insights into your business. Quickly see which projects are over or under budget, understand team availability, costs, and productivity, and easily approve timesheets, leave requests, and billable hours.

Cloud-based solution for observability that helps businesses manage and track workload and performance through a single dashboard. Monitor all the services you run on your cloud without compromising cost, granularity or scale. Groundcover is a cloud-native APM solution that makes observability easy so you can focus on creating world-class products. Groundcover's proprietary sensor unlocks unprecedented granularity for all your applications. This eliminates the need for costly changes in code and development cycles, ensuring monitoring continuity.

Serviceaide is an intuitive service management solution which can be implemented within weeks and not months. You will see a real ROI with low administration costs and rapid implementation. Flexible platform that can be used on-premises or in the cloud. Serviceaide is built on ITIL best practice and has all the components that your team requires. You can select the environment that suits your technology, infrastructure, and compliance needs. Serviceaide is a comprehensive and affordable solution that provides IT staff the tools they need to manage everything, from tickets to incident, change, and asset management. Serviceaide features a virtual agent, self service portals, and AI-based functions to support analyst and user productivity. Automate processes in technical workflows, business processes and services to increase business agility.

RunPod provides a cloud infrastructure that enables seamless deployment and scaling of AI workloads with GPU-powered pods. By offering access to a wide array of NVIDIA GPUs, such as the A100 and H100, RunPod supports training and deploying machine learning models with minimal latency and high performance. The platform emphasizes ease of use, allowing users to spin up pods in seconds and scale them dynamically to meet demand. With features like autoscaling, real-time analytics, and serverless scaling, RunPod is an ideal solution for startups, academic institutions, and enterprises seeking a flexible, powerful, and affordable platform for AI development and inference.