Alternatives to Pepperdata

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.

Site24x7 provides unified cloud monitoring to support IT operations and DevOps within small and large organizations. The solution monitors real users' experiences on websites and apps from both desktop and mobile devices. DevOps teams can monitor and troubleshoot applications and servers, as well as network infrastructure, including private clouds and public clouds, with in-depth monitoring capabilities. Monitoring the end-user experience is done from more 100 locations around the globe and via various wireless carriers.

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.

StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment. StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark. StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.

VMware Cloud Foundation Operations, formerly VMware Aria Operations, is a self-driving IT Operations Management Platform for private hybrid and multicloud environments. It incorporates AI and predicative analytics. VMware Cloud Foundation Operations automates and simplifies operations management. With full-stack visibility from physical, virtual and cloud infrastructure--including Virtual Machines (VMs) and containers--to the applications they support, VMware Cloud Foundation Operations provides continuous performance optimization, app-aware intelligent remediation, and integrated compliance. It is available both on-premises and as a service. IDC, the market leader in self-driving operation for your most demanding apps for four years running, is the company to trust. VMware Cloud Foundation Operations can be used on premises or in the cloud. Consume standalone or as part of Aria Suite.

IT performance monitoring does not just focus on monitoring CPU, memory, and network resources. eG Enterprise makes the user experience the center of your IT management and monitoring strategy. eG Enterprise allows you to measure the digital experience of your users and get deep visibility into the performance of the entire application delivery chain -- from code to user experiences to data center to cloud -- all from a single pane. You can also correlate performance across domains to pinpoint the root cause of problems proactively. eG Enterprise's machine learning and analytics capabilities enable IT teams to make smart decisions about right-sizing and optimizing for future growth. The result is happier users, increased productivity, improved IT efficiency, and tangible business ROI. eG Enterprise can be installed on-premise or as a SaaS service. Get a free trial of eG Enterprise today.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

AWS Auto Scaling monitors and adjusts your applications to ensure predictable, consistent performance at the lowest cost. AWS Auto Scaling makes it easy to set up application scaling for multiple resources and multiple services in minutes. It offers a simple and powerful user interface that allows you to create scaling plans for resources such as Amazon EC2 instances, Spot Fleets and Amazon ECS tasks, Amazon DynamoDB indexes and tables, and Amazon Aurora Replicas. AWS Auto Scaling simplifies scaling with recommendations that optimize performance, cost, or balance between them. You can combine Amazon EC2 Auto Scaling with AWS Auto Scaling if you already use it to dynamically scale Amazon EC2 instances. AWS Auto Scaling ensures that your applications have the right resources at all times.

Netreo is the best full-stack IT infrastructure management and observation platform. Netreo is a single source for truth for proactive performance monitoring and availability monitoring of large enterprise networks, infrastructure, and applications. Our solution is used by: IT executives should have full visibility of the business service, right down to the infrastructure and network that supports them. IT Engineering departments are used as a decision support system to plan and architect modern solutions. IT Operations teams can have real-time visibility into what is going wrong in their environment, which bottlenecks exist, and who it is affecting. All of these insights are available for systems and vendor mix in large heterogeneous environments that are constantly changing. We have a growing list of vendors that we support (over 350 integrations), including network vendors, storage, virtualization, and servers.

Amazon CloudWatch is a monitoring service that provides observability and data for developers, DevOps engineers, site reliability engineers (SREs), IT managers, and other users. CloudWatch gives you data and actionable insights that will help you monitor your applications, respond quickly to system-wide performance changes and optimize resource utilization. It also provides a unified view on operational health. CloudWatch gathers operational and monitoring data in the form logs, metrics and events. This gives you a single view of AWS resources, applications and services that are hosted on AWS and on-premises. CloudWatch can be used to detect anomalous behavior, set alarms, visualize logs side-by, take automated actions, troubleshoot problems, and uncover insights to help you keep your applications running smoothly.

Xosphere Instance Orchestrator performs automatic spot optimization using AWS Spot instances. This optimizes the cost of your infrastructure, while maintaining the same reliability as on-demand instance. Spot instances have been diversified by family, size and availability zone in order to minimize the impact of reclaiming Spot instances. Spot instances will not replace instances that use reservations. Respond automatically to Spot termination notifications. EBS volumes can configured to be attached new replacement instances, enabling stateful apps to work seamlessly.

ServiceNow Cloud Observability provides real-time visibility and monitoring of cloud infrastructure, applications and services. It allows organizations to identify and resolve performance problems by integrating data from different cloud environments into a single dashboard. ServiceNow Cloud Observability's advanced analytics and alerting features help IT and DevOps departments detect anomalies, troubleshoot issues, and ensure optimal performance. The platform supports AI-driven insights and automation, allowing teams the ability to respond quickly to incidents. Overall, the platform improves operational efficiency while ensuring a seamless user-experience across cloud environments.

Reduce infrastructure costs by 33%, decrease data center refresh costs of 75%, and get 30% back in engineering time through smarter resource management. Complex applications are becoming more prevalent in your business. They can also make it difficult for your team to keep up with dynamic demand. Teams often react at a human speed after the fact when application performance drops. You may overprovision resources to avoid disruption. These estimates can be costly and not always pay off. This can be eliminated with the IBM® Turbonomic® Application Resource Management platform. It will save you both time and money. Automate critical actions continuously in real-time, without human intervention. This allows you to proactively make the most of compute, storage, and network resources for your apps at each layer of the stack.

CAST AI significantly reduces your compute costs with automated cost management and optimization. Within minutes, you can quickly optimize your GKE clusters thanks to real-time autoscaling up and down, rightsizing, spot instance automation, selection of most cost-efficient instances, and more. What you see is what you get – you can find out what your savings will look like with the Savings Report available in the free plan with K8s cost monitoring. Enabling the automation will deliver reported savings to you within minutes and keep the cluster optimized. The platform understands what your application needs at any given time and uses that to implement real-time changes for best cost and performance. It isn’t just a recommendation engine. CAST AI uses automation to reduce the operational costs of cloud services and enables you to focus on building great products instead of worrying about the cloud infrastructure. Companies that use CAST AI benefit from higher profit margins without any additional work thanks to the efficient use of engineering resources and greater control of cloud environments. As a direct result of optimization, CAST AI clients save an average of 63% on their Kubernetes cloud bills.

IBM®, Instana®, is the gold-standard of incident prevention. It offers automated full-stack transparency, 1-second granularity, and 3-second notification. In today's highly complex and dynamic cloud environments, an hour of downtime could cost you six figures or more. Traditional application performance monitoring tools (APMs) are not fast enough to keep pace or comprehensive enough to contextualize issues identified. They are also typically only available to super users, who must undergo months of training. IBM Instana Observability is a solution that goes beyond traditional APM by democratizing observability. Anyone in DevOps or SRE, Platform Engineering, ITOps, and Development can access the data they need with the context needed. Instana delivers high-fidelity data with a 1-second granularity, and end-toend traces, as well as the context of logical, physical, and mobile dependencies, across applications, web, and infrastructure.

Software-defined load balancers and container ingress services simplify application delivery for any application, in any datacenter and cloud. Simplify administration by implementing centralized policies that ensure operational consistency in hybrid clouds and on-premises datacenters, including VMware Cloud, AWS, Azure and Google Cloud. Self-service enables DevOps to free infrastructure teams from manual tasks. The toolkits for application delivery automation include Python SDKs, RESTful APIs and Terraform and Ansible integrations. With real-time monitoring of application performance, closed-loop analysis and deep machine-learning, you can gain unprecedented insights into network, end-users and security.

Amazon EC2 Auto Scaling allows you to maintain application availability by adding or removing EC2 instances automatically using scaling policies you define. Dynamic or predictive policies allow you to add or remove EC2 instances capacity in response to real-time or established demand patterns. The fleet management features in Amazon EC2 Auto Scaling maintain the health and availability your fleet. Automating DevOps is essential, and getting your fleets to automatically launch, provision software and self-heal is a major challenge. Amazon EC2 Auto Scaling offers essential features to automate each of these steps in the instance lifecycle. Use machine learning to predict the number of EC2 instance to be used to anticipate traffic changes.

AIOps allows you to predict issues, reduce user impact and automate resolutions. Automate and automate IT operations that are reactive. Cross-team automation workflows can help you identify anomalies and fix them before they happen. AIOps enables proactive digital operations. Stop chasing false positives, and identify anomalies faster. Telemetry data can be collected and analyzed for improved visibility and lower noise. Share actionable insights with other teams and identify the root cause of incidents. You can reduce outages by following guided recommendations. Rapidly implementing insights-based solutions can reduce recovery times. Pre-built playbooks and knowledge bases make repetitive tasks easier. Establish a culture that is performance-driven across all teams. DevOps and Site Reliability Engineers, (SREs), should have access to microservices in order to increase observability and speed up incident resolution. Manage the digital lifecycle beyond IT operations.

UbiOps provides an AI infrastructure platform to help teams run AI & ML workloads quickly as reliable and secure Microservices without disrupting their existing workflows. UbiOps can be integrated seamlessly into your data-science workbench in minutes. This will save you time and money by avoiding the hassle of setting up expensive cloud infrastructure. You can use UbiOps as a data science team in a large company or a start-up to launch an AI product. UbiOps is a reliable backbone to any AI or ML services. Scale AI workloads dynamically based on usage, without paying for idle times. Instantly access powerful GPUs for model training and inference, enhanced by serverless, multicloud workload distribution.

Auto Scaling allows you to automatically adjust computing resources according to your user requests. Auto Scaling automatically adds new ECS instances when there is a greater demand or removes existing instances when there are fewer user requests.

Customers must continue to deliver high-quality services at minimal cost and at a rapid pace to their businesses. Applications today, whether monolithic, cloud-based, monolithic, or microservices-based are complex. There are thousands of parameters to adjust and hundreds of instance types that must be tuned to achieve the best balance between performance, resilience, and cost efficiency. Customers can use Akamas to specify their optimization goals and constraints (e.g. Customers can set up SLOs and have their applications and IT stacks tuned. Customers of Akamas can see tangible benefits such as a 60% reduction in infrastructure/cloud costs with the same application performance, 30% more transactions/sec with similar resources, 70% less response time due to lower peaks or fluctuations, and 80% savings in tuning time Akamas AI-powered optimization allows enterprises and online businesses maximize service quality, resilience, and cost savings.

SquaredUp is a unified observability portal. Say goodbye to blind spots and data silos. Using data mesh and cutting-edge data visualization, SquaredUp gives IT and engineering teams one place to see everything that matters. Bring together data from across your tech stack without the headache of moving the data. Unlike other monitoring and observability tools that rely on a data warehouse, SquaredUp leaves your data where it is, plugging directly into each data source to index and stitch the data together using a data mesh. Teams have one place to go where they can search, visualize, and analyze data across all their tools. Take control of infrastructure, application, and product performance with unified visibility. Learn more at squaredup.com What you get: > Cutting-edge data visualization > Access to 100+ data sources > Any custom data source via Web API > Multi-cloud observability > Cost monitoring > Unlimited dashboards > Unlimited monitors Key features: > Out-of-box dashboards > Simple, flexible dashboard designer > Real-time monitoring > High-level roll-up views > Object drill downs > Notifications (Slack, Teams, email, etc.) > SQL analytics

The Uila virtual architecture is built around a big data store, which is also an analytics engine. It is designed to scale out, to accommodate large data centers with thousands of servers and to scale in, to record data at high resolution and to maintain historical data, while maintaining real-time responsiveness. The built-in redundancy provides high availability, reduces downtime and reduces maintenance costs. UMAS can run in the SaaS, Public, or Private Cloud. The analytics engine is a brain that correlates infrastructure to application performance metrics by providing the intelligence to pinpoint the root cause of application performance degradation. The trending reports based on historical data help identify infrastructure hotspots and maintain optimal application performance. uObserve offers Application Dependency Maps.

Manage, provision and scale compute infrastructure in any cloud. You can save up to 80% on your expenses while still maintaining high-availability and SLA. Elastigroup cluster software is designed to optimize performance as well as costs. It allows companies of all sizes and industries to use Cloud Excess Capacity to efficiently and effectively accelerate workloads and reduce infrastructure costs by up to 90%. Elastigroup uses proprietary price prediction technology in order to deploy onto Spot Instances reliably. Elastigroup can offensively rebalance clusters by predicting interruptions or fluctuations. Elastigroup can reliably leverage excess capacity across all major cloud providers, including EC2 Spot Instances(AWS), Low-priority VMss (Microsoft Azure), and Preemptible VMss (Google Cloud). This reduces risk and complexity and allows for simple orchestration and management at scale.

emma gives you the freedom to choose from the best cloud providers and environments to adapt to changing needs, without adding complexity. Cloud management is simplified by automating key tasks and unifying services, reducing complexity. Cloud resources are optimized automatically to ensure full utilization, while reducing overhead. Supporting open standards allows businesses to be more flexible and free from vendor lock-in. Monitors and optimizes real-time data traffic, preventing cost spikes through efficient resource reallocation. Create your cloud infrastructure using different providers and environments. Manage your unified cloud from a single intuitive interface. You can now gain the visibility needed to improve infrastructure performance, and reduce costs. Take control of your entire cloud environment to ensure regulatory compliance.

HCL MyXalytics FinOps is a part HCLSoftware AI & Intelligent Operation framework's Intelligent Full Stack Observability. It is an Al-driven Cloud FinOps Insights and Visibility product that delivers intelligent insight to help you visualize, manage and optimize your multicloud spending, improve governance and strengthen your multicloud security posture. MyXalytics FinOps allows you to customize your visibility and configure policies for effective governance. This will help application and business owners prevent cost overruns and compliance issues, as well as security vulnerabilities. It also offers task allocation and tracking tools to assign identified issues to the concerned teams and track their entire lifecycle.

App performance can be improved and users will experience flawless experiences. Due to the increasing complexity of modern applications and the need to provide flawless customer experiences, traditional Application Performance Management (APM), solutions often fail to provide the visibility required to fix problems before they affect the end user. APM solutions need to evolve to include AIOps capabilities that can spot anomalies earlier, predict behavior and enable informed corrective actions. DX Application Performance Management, formerly CA Application Performance Management, or CA APM, is fully integrated with our AIOps software to correlate and analyze data across users and applications. This gives you real-time insight on the health of key business service providers. DX APM automatically identifies the likely cause of an issue using advanced algorithms and machine-learning techniques.

IBM® Storage Intelligences gives you unprecedented visibility into your storage environment. This allows you to manage complex storage infrastructures and make cost-savings decisions. It combines IBM's data management expertise with IBM Research's proprietary analytics. It is cloud-based and allows you to deploy quickly, save storage administration time, and optimize your storage. It automates support processes to speed up resolution. You can choose the edition that best suits your needs. With increased visibility into data growth rates, available capacity, and other information, you can eliminate the guesswork from capacity planning. You can delay future purchases by identifying and reclaiming any storage that is not being used. You can quickly identify the source of performance issues to prevent future service disruptions.

Zesty’s cloud infrastructure optimization platform offers solutions for databases, storage and compute. It also helps companies reduce cloud spending. Zesty, powered by machine learning and automation, provides FinOps/DevOps teams actionable insights to fit real-time applications and achieve optimal utilization of cloud resources. Zesty Commitment Manager optimizes EC2 discount plans and RDS automatically, ensuring maximum coverage with deeper savings. This is done with minimal financial risk. Zesty Disk automatically scales EBS volumes up or down to match real-time applications needs. This optimizes storage utilization, eliminates the risk of downtime and reduces costs by up 70%. Zesty Insights gives you a clear view of your potential savings, unused resources and offers actionable suggestions that will help you focus on saving the most money.

The Heimdall Proxy provides data access for architects, database administrators, and application developers. Our proxy provides a faster, more secure, and scalable solution to their existing SQL database, whether it is on-premise or in the cloud. We provide SQL visibility and performance across multiple-vendor databases. Our proxy can be deployed transparently as a sidecar process. Our distributed deployment delivers optimal performance and predictive scale. Application changes are required to implement a master-writer and read replica architecture. Our proxy routes queries directly to the appropriate database instance. We can guarantee data consistency with replication lag detection Relating front-side to backside connections can be reduced by up to 1000:1. You can limit connections per user or per database. This allows for fairness and protects the database from being overloaded (respectively). Active Directory integration is also available for authentication and authorization.

The HPE Consumption Analytics Portal, which is the metering and analysis component of HPE GreenLake's consumption-based IT offering by HPE Pointnext Services, is now available. It gives you the flexibility and economics of the private cloud in your own datacenter. Interactive dashboards and drag-and-drop reports give you granular insight into your usage and costs. Flexible budgets and a rules-based recommendation engine to consume-based services will help you stay on top of IT spending. Forecast demand to avoid a shortage becoming an outage. With decision-making power, you can plan your capacity. The HPE Consumption Analytics Portal, part of HPE GreenLake provides even more transparency into your usage and commitments that determine your monthly cost. You will have more power to make informed decisions and plan your workload for maximum performance.

Kubecost gives you real-time cloud cost visibility and insight for Kubernetes teams. This will help you to reduce your cloud costs. You can see the breakdown of costs for any Kubernetes concept, including deployment, service and namespace label. You can view costs across multiple clusters from one view or via an API endpoint. To get a complete picture, join Kubernetes infrastructure costs and any external cloud services costs. For a complete view of spend, external costs can be shared and then attributed any Kubernetes idea. Get dynamic recommendations to reduce spend without sacrificing performance. Prioritize application or infrastructure changes to improve resource efficiency and reliability. Real-time notifications allow you to quickly spot infrastructure outages and cost overruns before they become a problem. Integrating with tools such as PagerDuty or Slack will preserve engineering workflows.

Unravel makes data available anywhere: Azure, AWS and GCP, or in your own datacenter. Optimizing performance, troubleshooting, and cost control are all possible with Unravel. Unravel allows you to monitor, manage and improve your data pipelines on-premises and in the cloud. This will help you drive better performance in the applications that support your business. Get a single view of all your data stack. Unravel gathers performance data from every platform and system. Then, Unravel uses agentless technologies to model your data pipelines end-to-end. Analyze, correlate, and explore all of your cloud and modern data. Unravel's data models reveal dependencies, issues and opportunities. They also reveal how apps and resources have been used, and what's working. You don't need to monitor performance. Instead, you can quickly troubleshoot issues and resolve them. AI-powered recommendations can be used to automate performance improvements, lower cost, and prepare.

The complexity of managing mainframe costs and capacity is increasing with digitization. BMC AMI Capacity and Cost Portfolio increases availability, predicts potential capacity bottlenecks in advance, and optimizes mainframe mainframe software costs, which can consume 30-50% of the mainframe budget. You can balance risk and efficiency to achieve operational resilience. You will have visibility into workload changes that could impact your mainframe availability or business demand. The management of mainframe software licensing costs and pricing models is simplified. This gives you quantifiable business insight into the drivers and technical costs. Intelligent workflows that are based on nearly 50 years of BMC experience can help you identify capacity issues before they affect your business. Intelligently manage capacity settings for less critical workloads to optimize cost and protect service levels.

Enterprise-class management is available to run distributed compute-intensive and data-intensive applications on a scalable, shared network. IBM Spectrum Symphony®, software provides powerful enterprise-class management to run distributed, compute-intensive and data-intensive applications on a scalable shared grid. It can accelerate dozens of parallel applications to achieve faster results and better utilization. IBM Spectrum Symphony can help you improve IT performance, reduce costs and expenses, and meet your business needs quickly. Accelerate time-to-results by achieving faster throughput and performance in data-intensive and compute-intensive analytics applications. Optimize and control the huge compute power in your technical computing systems to achieve higher resource utilization. You can reduce infrastructure, application development, deployment, and management costs by taking control of large-scale jobs.

You can get on-demand access production, development, or test environments. This allows you to innovate better, speed up delivery of the application, and streamline delivery to production. We can design and implement cloud infrastructure to meet your business's needs today and tomorrow. We are experts in designing Web-scale architectures that can be load-balanced and auto-scaled. They can also self-healing and cost-effective. You only pay for the resources you use, while still being able to respond to spikes in demand. To ensure infrastructure that is self-documenting and versioned, we embrace the Infrastructure as Code philosophy. Get the insight you need into your applications to identify bottlenecks and understand resource requirements. Automatic scaling can be done if necessary and alert the appropriate stakeholders. We work closely with your developers to create your application's build- and deployment pipeline.

DymaxIO is fast data management software. DymaxIO can return up to 40% of your throughput, whether you are on-premises or in a cloud environment. It's fast and easy to use, transparent, and fully automatic. You can fix slow applications, freezes, timeouts and slow SQL queries right at the source. With new DymaxIO, you can get your speed back. Undelete instantly recovers deleted files with continuous data protection. This eliminates the need for slow restores from backup. Undelete can protect local and network-share files, ensuring that every file or version can be easily restored. It takes just minutes to restore content that took hours to create. Performance problems such as application slowdowns or freezes can be fixed at the source. No tuning required. You will see a 30%+ increase in efficiency, which will help you and your users to be more efficient. Don't spend too much on new hardware, but do not waste your assets.

Algorithms, advanced technologies, and continuous execution automatically combine Savings Plans with Reserved Instances to produce superior financial outcomes. Our customers see an average 68% increase in monthly savings. ProsperOps uses optimization and AI algorithms for tasks previously performed by humans. You enjoy the savings, we do the work. We combine savings instruments to provide the best savings and reduce your AWS financial lock-in, from years to days. We generate more savings than our cost so we add incremental dollars to your cloud budget net of our charge. ProsperOps can programmatically optimize your AWS compute savings plans and RIs. Algorithms combine multiple discount instruments to maximize savings, and minimize the commitment term.

Complex application environments today are difficult to monitor, manage, and troubleshoot. Applicare tunes applications and monitors transactions using the IntelliSense and Arcturus IntelliTrace technologies. You have visibility to every transaction in every business, every application, and every location. The application environments of today are complex and distributed, making it difficult to monitor, manage, and troubleshoot. How can you ensure that every component is performing at its best? All aspects of the environment must be examined in order to effectively monitor an application's performance. This comprehensive monitoring can quickly bring down your application's performance. Applicare is here to save the day. Applicare's patent-pending IntelliTune and IntelliTrace technologies allow Applicare automatically tune the applications, adaptively monitor full stack visibility, and detect problems.

Glassity automatically optimizes Cloud computing costs with AWS without touching any servers. Our product performs non-intrusive optimizations through Cross-Account IAM Role with minimal permissions, which ensures no access to any of customer’s private and sensitive information.

Skylight provides high-performance network monitoring and user experience monitoring for any application, cloud, or network. Skylight is a virtualized performance platform that provides end-to-end visibility into network, application and service performance, from the user edge to core network and cloud. Skylight helps to ensure that networks and cloud applications meet increasing performance requirements, optimize network capacities, and meet customer expectations regarding quality of experience. Skylight uses its high-quality performance data and machine learning to predict, predict, and prevent customer-impacting problems. Skylight sensors allow you to collect precise network, service, and application data. Skylight sensors are available in both software and hardware. This allows you to place Skylight sensors capabilities anywhere in your network, from remote locations to cloud-based locations and everywhere in between.

Chaos Genius is a DataOps platform for Snowflake. Snowflake Observability can be enabled to optimize query performance and reduce Snowflake costs.

CySight’s revolutionary Actionable Intelligence, trusted by Fortune 500 globally, enables organizations with the most cost-effective and secure way to tackle the increasing density, complexity, and expanse of modern physical and cloud networking. Deploying cyber network intelligence, CySight empowers network and security teams to substantially accelerate incident response by eliminating blindspots, analyzing network telemetry to discover anomalies, uncover cyber-threats, and quantifying asset usage and performance. CySight’s Dropless Collection method enables unsurpassed visibility of network Big-Data which is retained in the smallest footprint, accelerating machine learning, artificial intelligence and automation to fully utilize all metadata no matter the amount, size, or type.

The AWS Cost & Usage Report provides the most complete set of AWS usage and cost data. It also includes additional metadata about AWS services pricing, reserved instances, and savings plans. The AWS Cost & Usage report details usage at the account level, by product code and usage type. These costs can further be organized using cost allocation tags or cost categories. The AWS Cost & Usage Report can be accessed at an hourly, daily or monthly level of granularity. The AWS Cost & Usage Report allows you to track down the instances where purchase options like RIs or Savings Plans are being used. It also amortizes the associated fees and calculates to allow internal cost allocation and showbacks based upon your organization's internal reporting requirements.

You can save up to 90% on your monthly cloud bills Lightwing can help you get from sign up to cost optimized within 60 minutes. AWS Spot instances and Azure Spot instances can optimize the computation of all production resources. You can achieve stable and reliable high availability while still enjoying the full benefits of spot instance pricing. In less than 60 minutes, you can go from signing up to fully cost optimized. Smart Advisor allows you to group your cloud resources according to usage (production or not production) and nature (state or fault tolerance). Lightwing will give you an instant estimate of how much you can reduce your cloud computing bills. You can instantly save on cloud costs by automating the cost optimization process. We are dedicated to helping our customers optimize their cloud infrastructure costs.

You can innovate faster in the cloud, improve user experience and future-proof applications. Splunk is designed for cloud-native enterprises and helps you solve current problems. Splunk helps you detect any problem before it becomes a customer problem. Our AI-driven Directed Problemshooting reduces MTTR. Flexible, open-source instrumentation eliminates lock-in. Optimize performance by seeing all of your application and using AI-driven analytics. You must observe everything in order to deliver an excellent end-user experience. NoSample™, full-fidelity trace ingestion allows you to leverage all your trace data and identify any anomalies. Directed Troubleshooting reduces MTTR to quickly identify service dependencies, correlations with the underlying infrastructure, and root-cause errors mapping. You can break down and examine any transaction by any dimension or metric. You can quickly and easily see how your application behaves in different regions, hosts or versions.

Controlling and optimising costs is a breeze with our insights and recommendations suite. Our models calculate costs to the smallest granularity. Understanding the cost of a single table or query is important. Aggregate workloads to understand the cost of data over time. Understanding which actions will produce which results. Keep your team focused on the important tech debt. Learn how to configure data workloads in the most cost-effective way. Save money without having to rewrite queries or drop table. By recommending query recommendations, you can educate your team. Balance effort and impact to ensure optimal ROI. With increments, teams can save up to 30 percent of their costs.

Finout combines Cloud Providers and Data Warehouses into one bill. This allows you to have a unique business context view of your cloud spend. It takes just minutes to create a Finout bill. You can monitor anomalies, see recommendations, and forecast cost per increase. AWS charges by the instance, but you care about your pod costs. You can use your existing Datadog and Prometheus to quickly get a pod-level view of your spend with no-agent integration. Don't worry about the absolute cloud cost. Consider the cost of what your utilizing, not just what you are paying. Kubernetes pods can be viewed instead of DynamoDB indexes and EC2 instances. Finout provides a single language that the entire company can use, not just DevOps.

StormForge is the only platform that combines Enterprise-Grade Performance-Testing-as-a-Service with Machine Learning powered resource tuning to deliver optimal Kubernetes application performance at the lowest possible cloud cost. StormForge customers see a 50% improvement in application performance and 50% less cloud-resources within 3 days.