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Amazon CloudWatch
Access all your data from a single platform
Modern applications are distributed (that is, they run on microservices architectures) and generate lots of data in the form of metrics, logs, and more. You need a way to easily collect, access, and correlate these data points from individual sources in silos (server, network, database, etc.) to effectively monitor applications and infrastructure resources. Amazon CloudWatch enables you to collect metrics and logs from all your AWS resources, applications, and services that run on AWS and on-premises servers, helping you break down data silos so you can easily gain system-wide visibility.
Easiest way to collect custom and granular metrics for AWS resources
Monitoring your AWS resources is easy with Amazon CloudWatch. CloudWatch is natively integrated with more than 70 AWS services such as Amazon EC2, Amazon DynamoDB, Amazon S3, Amazon ECS, AWS Lambda, Amazon API Gateway, etc. that automatically publish detailed 1-minute metrics and custom metrics with up to 1-second granularity. You can use AWS Systems Manager to install a CloudWatch Agent, or you can use the CloudWatch API to easily collect, publish, and store this data in CloudWatch.
Visibility across your applications, infrastructure, and services
Gaining visibility across your distributed stack means correlating and visualizing metrics and logs to quickly pinpoint and resolve issues. With Amazon CloudWatch, you can visualize key metrics like CPU utilization and memory. You can also correlate a log pattern, e.g. error to a specific metric to quickly get the context and go from diagnosing the problem to understanding the root cause.
Improve total cost of ownership
Amazon CloudWatch enables you to set high resolution alarms and take automated actions. This means freeing up important resources to focus on adding business value. For example, you can get alerted on Amazon EC2 instances and set up Auto Scaling to add or remove instances. You can also execute automated responses to detect and shut down unused EC2 resources, reducing billing overages and improving resource optimization.
Optimize applications and operational resources
You need a unified operational view, real-time granular data, and historical reference to optimize performance and resource utilization. With Amazon CloudWatch, you get enhanced monitoring with 1-second granularity and up to 15 months of metrics storage and retention. You can also leverage native CloudWatch features, such as Metric Math, to perform calculations on your metric data. For example, you can aggregate usage across an entire fleet of EC2 instances to derive operational and utilization insights.
Derive actionable insights from logs
Amazon CloudWatch Logs Insights enables you to explore, analyze, and visualize your logs instantly, allowing you to troubleshoot operational problems with ease. With Logs Insights, you only pay for the queries you run. Logs Insights scales with your log volume and query complexity giving you answers in seconds. In addition, you can publish log-based metrics, create alarms, and correlate logs and metrics together in CloudWatch Dashboards for complete operational visibility.
Amazon EC2
BENEFITS
ELASTIC WEB-SCALE COMPUTING
Amazon EC2 enables you to increase or decrease capacity within minutes, not hours or days. You can commission one, hundreds, or even thousands of server instances simultaneously. You can also use Amazon EC2 Auto Scaling to maintain availability of your EC2 fleet and automatically scale your fleet up and down depending on its needs in order to maximize performance and minimize cost. To scale multiple services, you can use AWS Auto Scaling.
COMPLETELY CONTROLLED
You have complete control of your instances including root access and the ability to interact with them as you would any machine. You can stop any instance while retaining the data on the boot partition, and then subsequently restart the same instance using web service APIs. Instances can be rebooted remotely using web service APIs, and you also have access to their console output.
FLEXIBLE CLOUD HOSTING SERVICES
You have the choice of multiple instance types, operating systems, and software packages. Amazon EC2 allows you to select a configuration of memory, CPU, instance storage, and the boot partition size that is optimal for your choice of operating system and application. For example, choice of operating systems includes numerous Linux distributions and Microsoft Windows Server.
INTEGRATED
Amazon EC2 is integrated with most AWS services such as Amazon Simple Storage Service (Amazon S3), Amazon Relational Database Service (Amazon RDS), and Amazon Virtual Private Cloud (Amazon VPC) to provide a complete, secure solution for computing, query processing, and cloud storage across a wide range of applications.
RELIABLE
Amazon EC2 offers a highly reliable environment where replacement instances can be rapidly and predictably commissioned. The service runs within Amazon’s proven network infrastructure and data centers. The Amazon EC2 Service Level Agreement commitment is 99.99% availability for each Amazon EC2 Region.
SECURE
Cloud security at AWS is the highest priority. As an AWS customer, you will benefit from a data center and network architecture built to meet the requirements of the most security-sensitive organizations. Amazon EC2 works in conjunction with Amazon VPC to provide security and robust networking functionality for your compute resources.
INEXPENSIVE
Amazon EC2 passes on to you the financial benefits of Amazon’s scale. You pay a very low rate for the compute capacity you actually consume.
EASY TO START
There are several ways to get started with Amazon EC2. You can use the AWS Management Console, the AWS Command Line Tools (CLI), or AWS SDKs. AWS is free to get started.
Amazon EMR
BENEFITS
EASY TO USE You can launch an EMR cluster in minutes. You don’t need to worry about node provisioning, cluster setup, Hadoop configuration, or cluster tuning. EMR takes care of these tasks so you can focus on analysis. Data scientists, developers and analysts can also use EMR Notebooks, a managed environment based on Jupyter Notebook, to build applications and collaborate with peers. LOW COST EMR pricing is simple and predictable: You pay a per-instance rate for every second used, with a one-minute minimum charge. You can launch a 10-node EMR cluster with applications such as Hadoop, Spark, and Hive, for as little as $0.15 per hour. Because EMR has native support for Amazon EC2 Spot and Reserved Instances, you can also save 50-80% on the cost of the underlying instances. ELASTIC With EMR, you can provision one, hundreds, or thousands of compute instances to process data at any scale. You can easily increase or decrease the number of instances manually or with Auto Scaling, and you only pay for what you use. EMR also decouples compute instances and persistent storage, so they can be scaled independently. RELIABLE You can spend less time tuning and monitoring your cluster. EMR has tuned Hadoop for the cloud; it also monitors your cluster — retrying failed tasks and automatically replacing poorly performing instances. EMR provides the latest stable open source software releases, so you don’t have to manage updates and bug fixes, leading to fewer issues and less effort to maintain the environment. SECURE EMR automatically configures EC2 firewall settings that control network access to instances, and you can launch clusters in an Amazon Virtual Private Cloud (VPC), a logically isolated network you define. For objects stored in S3, you can use S3 server-side encryption or Amazon S3 client-side encryption with EMRFS, with AWS Key Management Service or customer-managed keys. You can also easily enable other encryption options and authentication with Kerberos. FLEXIBLE You have complete control over your cluster. You have root access to every instance, you can easily install additional applications, and you can customize every cluster with bootstrap actions. You can also launch EMR clusters with custom Amazon Linux AMIs.Amazon Lightsail
- an instance type that is optimized for specific workloads, including machine learning, high-performance computing, and graphic-intensive applications.
- complete control over your networking settings like VPC, security groups and internet gateways.
- dynamic scaling for your resources, like auto scaling for your instances behind a load balancer, or elastic file storage.
- a specialized instance type, operating system, software package or a consumption option that Lightsail doesn’t offer.
- Managed databases (RDS, DynamoDB)
- Content delivery network (CloudFront)
- Object storage (S3)
- Dozens of other services
- Amazon Linux
- Ubuntu
- Debian
- FreeBSD
- OpenSUSE
- Windows Server
- WordPress
- Magento
- Drupal
- Joomla!
- Redmine
- Plesk
- Node.js
- GitLab
- LAMP
- MEAN
- Nginx
Amazon S3
Industry-leading performance, scalability, availability, and durability Scale your storage resources up and down to meet fluctuating demands, without upfront investments or resource procurement cycles. Amazon S3 is designed for 99.999999999% of data durability because it automatically creates and stores copies of all S3 objects across multiple systems. This means your data is available when needed and protected against failures, errors, and threats. Wide range of cost-effective storage classes Save costs without sacrificing performance by storing data across the S3 Storage Classes, which support different data access levels at corresponding rates. You can use S3 Storage Class Analysis to discover data that should move to a lower-cost storage class based on access patterns, and configure an S3 Lifecycle policy to execute the transfer. You can also store data with changing or unknown access patterns in S3 Intelligent-Tiering, which tiers objects based on changing access patterns and automatically delivers cost savings. Unmatched security, compliance, and audit capabilities Store your data in Amazon S3 and secure it from unauthorized access with encryption features and access management tools. You can also use Amazon Macie to identify sensitive data stored in your S3 buckets and detect irregular access requests. Amazon S3 maintains compliance programs, such as PCI-DSS, HIPAA/HITECH, FedRAMP, EU Data Protection Directive, and FISMA, to help you meet regulatory requirements. AWS also supports numerous auditing capabilities to monitor access requests to your S3 resources. Management tools for granular data control Classify, manage, and report on your data using features, such as: S3 Storage Class Analysis to analyze access patterns; S3 Lifecycle policies to transfer objects to lower-cost storage classes; S3 Cross-Region Replication to replicate data into other regions; S3 Object Lock to apply retention dates to objects and protect them from deletion; and S3 Inventory to get visbility into your stored objects, their metadata, and encryption status. You can also use S3 Batch Operations to change object properties and perform storage management tasks for billions of objects. Since Amazon S3 works with AWS Lambda, you can log activities, define alerts, and automate workflows without managing additional infrastructure. Query-in-place services for analytics Run big data analytics across your S3 objects (and other data sets in AWS) with our query-in-place services. Use Amazon Athena to query S3 data with standard SQL expressions and Amazon Redshift Spectrum to analyze data that is stored across your AWS data warehouses and S3 resources. You can also use S3 Select to retrieve subsets of object metadata, instead of the entire object, and improve query performance by up to 400%. Most supported cloud storage service Store and protect your data in Amazon S3 by working with a partner from the AWS Partner Network (APN) — the largest community of technology and consulting cloud services providers. The APN recognizes migration partners that transfer data to Amazon S3 and storage partners that offer S3-integrated solutions for primary storage, backup and restore, archive, and disaster recovery. You can also purchase an AWS-integrated solution directly from the AWS Marketplace, which lists of hundreds storage-specific offerings.
Amazon Storage Gateway
- Set customizable scheduled backup policies that meet your backup requirements;
- Set backup retention and expiration rules so you no longer need to develop custom scripts or manually manage the point-in-time backups of your volumes; and
- Manage and monitor backups across multiple gateways and other AWS resources from a central view.
AWS Auto Scaling
Benefits
SETUP SCALING QUICKLY AWS Auto Scaling lets you set target utilization levels for multiple resources in a single, intuitive interface. You can quickly see the average utilization of all of your scalable resources without having to navigate to other consoles. For example, if your application uses Amazon EC2 and Amazon DynamoDB, you can use AWS Auto Scaling to manage resource provisioning for all of the EC2 Auto Scaling groups and database tables in your application. MAKE SMART SCALING DECISIONS AWS Auto Scaling lets you build scaling plans that automate how groups of different resources respond to changes in demand. You can optimize availability, costs, or a balance of both. AWS Auto Scaling automatically creates all of the scaling policies and sets targets for you based on your preference. AWS Auto Scaling monitors your application and automatically adds or removes capacity from your resource groups in real-time as demands change. AUTOMATICALLY MAINTAIN PERFORMANCE Using AWS Auto Scaling, you maintain optimal application performance and availability, even when workloads are periodic, unpredictable, or continuously changing. AWS Auto Scaling continually monitors your applications to make sure that they are operating at your desired performance levels. When demand spikes, AWS Auto Scaling automatically increases the capacity of constrained resources so you maintain a high quality of service. PAY ONLY FOR WHAT YOU NEED AWS Auto Scaling can help you optimize your utilization and cost efficiencies when consuming AWS services so you only pay for the resources you actually need. When demand drops, AWS Auto Scaling will automatically remove any excess resource capacity so you avoid overspending. AWS Auto Scaling is free to use, and allows you to optimize the costs of your AWS environment.AWS CloudFormation
Benefits
MODEL IT ALL AWS CloudFormation allows you to model your entire infrastructure in a text file. This template becomes the single source of truth for your infrastructure. This helps you to standardize infrastructure components used across your organization, enabling configuration compliance and faster troubleshooting. AUTOMATE AND DEPLOY AWS CloudFormation provisions your resources in a safe, repeatable manner, allowing you to build and rebuild your infrastructure and applications, without having to perform manual actions or write custom scripts. CloudFormation takes care of determining the right operations to perform when managing your stack, and rolls back changes automatically if errors are detected. IT'S JUST CODE Codifying your infrastructure allows you to treat your infrastructure as just code. You can author it with any code editor, check it into a version control system, and review the files with team members before deploying into production.Azure Data Warehouse
Create a single center for all your data, be it structured, unstructured or streaming data. Provide work of such transformational decisions, as functions of business analytics, reports, the expanded analytics and analytics in real time. To easily get started, take advantage of the performance, flexibility, and security of Azure's fully managed services, such as SQL Azure and Azure Databricks.
Get rid of worries
Built-in advanced security features include transparent data encryption, auditing, threat detection, integration with Azure Active Directory and virtual network endpoints. Azure services correspond to more than 50 industry and geographic certifications and are available worldwide in 42 regions to store your data wherever your users are located. Finally, Microsoft offers financially secured service level agreements to spare you any hassle.
Azure Virtual Machines
Supporting Linux, Windows Server, SQL Server, Oracle, IBM, SAP and other platforms, Azure virtual machines provide the flexibility of virtualization for a wide range of computing solutions. All current-generation virtual machines include load balancing and autoscaling.
Azure Virtual Machines - is a proposal that includes various solutions, from an inexpensive B series to virtual machines with the latest GPU optimized for machine learning. It is designed to perform any workloads within any budget.
DELL EMC CLOUD FOR MICROSOFT AZURE STACK
Esdenera Networks Firewall 3
- Trusted Code
- NFV Services
- Cloud-ready
- Built for SDN
Google Cloud Storage
Geo-redundant storage with the highest level of availability and performance is ideal for low-latency, high QPS content serving to users distributed across geographic regions. Google Cloud Storage provides the availability and throughput needed to stream audio or video directly to apps or websites. The highest level of availability and performance within a single region is ideal for compute, analytics, and ML workloads in a particular region. Cloud Storage is also strongly consistent, giving you confidence and accuracy in analytics workloads. Cloud Storage provides fast, low-cost, and highly durable storage for data accessed less than once a month. Perfect for reducing the cost of backups and archives while still retaining immediate access. Backup data in Cloud Storage could be used for more than just recovery because all Cloud Storage classes have ms latency and are accessed through a single API.
Google Compute Engine
Main features of Google Compute Engine:
- Computing environments. Available in a configuration of 1,2,4 or 8 cores on a Linux platform with 3.75 GB of RAM per core.
- Repositories. You can store virtual machine data as non-persistent (Ephemeral), as well as Persistent disks on the Google side or in the Google Cloud Storage service. For permanent disks, you can snapshot for backup purposes, and also provide access to one disk from multiple VMs. All disk data is encrypted.
- Networking. The ability to use high-performance network equipment Google Dataceters and independently configure the network screens, also use an external IP address. Plus, ready-made solutions from third-party vendors that are partners with Google.
- Control. Virtual machines can be managed through a web console or CLI, and there is also an API that provides many opportunities for developers and third-party manufacturers.
Google Compute Engine will be integrated with partner solutions RightScale, Puppet Labs, OpsCode, Numerate, Cliqr, MapR and others.
IBM Cloud IaaS for compute and block storage
IBM Cloud IaaS for compute and block storage is a public cloud computing platform that offers a range of services, including those for compute, networking, storage, security and application development. Cloud administrators and users access IBM SoftLayer services over the Internet or through a dedicated network connection. IBMCloud IaaS for compute and block storageis largely considered infrastructure as a service (IaaS), a form of cloud computing in which a third-party provider hosts hardware, software and other infrastructure components on its users' behalf. For compute, IBM SoftLayer provides various bare-metal and virtual server configurations, along with an assortment of operating systems, hypervisors and database platforms. The virtual server configurations are available in either a single- or multi-tenant model, whereas the bare-metal server configurations are available in a single-tenant model only.
IBM Cloud Object Storage
IBM Cloud Object Storage is
a highly scalable cloud storage service, designed for high durability, resiliency and security. Designed for data durability of 99.999999999 percent. Data is sliced, and slices are dispersed across multiple devices in multiple facilities for resiliency. High data durability is maintained by built-in integrity checking and self-repair capabilities. Data at rest is secured using server-side encryption and data in motion is secured using carrier-grade TLS/SSL. Gain additional control with role-based policies and use IBM Cloud Identity & Access Management to set bucket-level permissions.
Microsoft Azure
Oracle Cloud Applications
- Applications (SaaS): Oracle offers the most complete, innovative, and proven cloud suite of SaaS applications that enable customers to transform their business with the latest intelligent technologies such as AI and machine learning.
- Data (DaaS): Oracle Data Cloud provides data from a wide variety of Oracle and third-party sources, which can be used by sales and marketing to produce better business outcomes.
- Platform (PaaS): Oracle offers the broadest range of PaaS services in the industry, which enable developers, IT professionals, and business leaders to develop, extend, and secure applications that leverage advanced analytics.
- Infrastructure (IaaS): Oracle offers the highest performance, lowest cost IaaS in the industry, enabling customers to run their application workloads in the Oracle Cloud.
- Oracle empowers all sizes of companies, from startups to global enterprises.
- Choose from more than 1,000 cloud applications, translated to 35 languages and used in 175 countries.
- Enhance your business IQ with adaptive intelligence. With decision science and machine learning embedded directly into business processes, business leaders can focus on managing their business outcomes rather than managing new technology. Examples include dynamic demand forecasts (SCM), personalized offers (CX), adaptive buy signals (ERP), and optimal candidates (HCM).
- Utilize Internet of Things (IoT) cloud offerings to increase existing business application value with intelligent data and predictive analytics.
- Leverage Oracle's mobile apps to manage the business and increase productivity while improving employee work-life balance through location flexibility.
- In addition, use Oracle's integrated cloud tools to extend or build new business processes.
- UBS securely delivers HR services to its 60,000 employees worldwide
- HSBC streamlined and secured global business processes across in 72 countries.
- Esterline consolidated 120+ ledgers, 12 currencies, and 30 chart of accounts.
- GE Digital went live on Enterprise Resource Planning Cloud in 5 months
- FEMSA Logistica went live on Supply Chain Management Cloud in 12 weeks
- Blackboard went live on Human Capital Management Cloud in 6 months
- ClubMed went live on Service Cloud in 12 weeks
Oracle Cloud Infrastructure (OCI)
The basic capabilities of IaaS Oracle Cloud will help you quickly increase the productivity of your business. Oracle Cloud Infrastructure (OCI) combines the benefits of a public cloud (on-demand access, self-service, scalability, payment as it is used) with the benefits that are commonly associated with local environments (manageability, predictability and control). OCI is based on a large-scale high-speed network connecting cloud servers with high-performance local, block and object storage. The cloud platform they create provides the highest speed of traditional and distributed applications, as well as high availability of databases. The architecture of OCI is able to support both the applications used in your business today, and the applications that you will develop tomorrow.
Oracle Cloud Storage
Oracle Cloud Infrastructure provides data storage options for a wide spectrum of applications from small websites to the most demanding enterprise applications.
When the ultimate in performance is required, local NVMe SSD’s provide extreme storage performance for VM’s and bare metal compute instances. Examples include relational databases, data warehousing, big data, analytics, AI and HPC applications.
High performance, persistent storage for a wide range of application workloads. Block volumes can scale to 512 TB per compute instance. Typical workloads include NoSQL databases, Hadoop/HDFS applications, IoT and eCommerce applications.
Easy to implement file-system that can be shared across many applications from all operating systems. Start small and scale as data grows. Perfect for migration of on-premises applications, media management, content management, and web applications.
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