Amazon AWS

Cohesity Expands Relationship with Amazon Web Services

Cohesity, a leader of hyperconverged secondary storage, today announced a wide range of new solutions, powered by Amazon Web Services (AWS), that empower customers to bring together cloud-native backups, full lifecycle disaster recovery, and long-term data retention on a single, easy-to-use platform. Cohesity also revealed a dramatic increase in the number of customers utilizing solutions from AWS and Cohesity as more organizations embrace a more automated and scalable approach to hybrid cloud architecture.

Modern enterprises overwhelmingly recognize the value of leveraging cloud infrastructure together with on-premises resources to achieve new levels of efficiency and cost savings. A recent survey from IDG found that 73 percent of organizations have at least one application, or a portion of their computing infrastructure, in the cloud already, and that is expected to grow to 90 percent in 2019.

"Cohesity is giving customers new ways to leverage AWS in support of a variety of secondary workloads," said Lynn Lucas, chief marketing officer, Cohesity. "Cohesity is focused on helping customers address critical challenges tied to mass data fragmentation. Our deep relationship with AWS gives customers greater flexibility and agility while managing their critical infrastructure and data through a single user interface on a web-scale platform."

XebiaLabs Accelerates Enterprise Application Shift to the Cloud with Amazon Web Services

XebiaLabs announced support for new Amazon Web Services (AWS) services designed to simplify and accelerate application migration to the cloud at scale. New integrations of the XebiaLabs DevOps Platform with AWS Service Catalog and support for AWS Fargate, Amazon Elastic Compute Cloud (Amazon EC2), Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Container Service for Kubernetes (Amazon EKS), and other AWS services, allow developers to easily switch workloads from traditional data centers to AWS. Companies can rely on a highly efficient, compliant, and secure enterprise DevOps process as they are moving applications to the cloud.

"The combination of AWS Service Catalog and the XebiaLabs DevOps Platform provides a highly scalable and structured path to moving enterprise applications to AWS," said Clive D'Souza, Global Head of AWS Service Catalog BD, Amazon Web Services, Inc. "It was designed to allow companies to offer self-service deployments to their development teams, while supporting compliance, security, and governance requirements across the DevOps pipeline. Teams can now easily access AWS services as an integrated part of their enterprise DevOps processes, and CIOs can rest easy knowing software applications are being built securely and with control, while taking advantage of the flexibility and velocity of the cloud."

LeanTaaS Secures Cloud-Based Apps on AWS with Signal Sciences

Signal Sciences today announced that LeanTaaS, a Silicon Valley healthcare analytics company, has chosen its revolutionary next-gen web application firewall (WAF) to secure cloud-based LeanTaaS apps on Amazon Web Services (AWS), as well as meet HIPAA compliance requirements. Signal Sciences WAF makes it possible for businesses like LeanTaaS to protect critical web apps on AWS and in multi-cloud environments from real attacks and threat scenarios. The solution will be showcased at the Signal Sciences booth #1404 at the AWS re:Invent conference from November 26-30 in Las Vegas, Nevada.  

The LeanTaaS iQueue platform uses lean principles, machine learning, and predictive analytics to digitally transform core operational processes in healthcare. It mathematically matches the demand for expensive, constrained healthcare resources with supply. More than 50 hospitals and health systems rely on the company's AWS cloud-based platform to increase patient access, decrease wait times, improve staff satisfaction, and reduce healthcare delivery costs. The company was looking for a solution that could not only secure its cloud-based web services, but scale and provide coverage quickly while not slowing down development.

Cloud Daddy Launches Modern Data Protection Update 1.3 for Secure Backup Solution on AWS Marketplace

Cloud Daddy, creator of Cloud Daddy Secure Backup (CDSB), the world's most secure and easy to use AWS-native data protection solution, today announced version 1.3 of its software platform. The update incorporates Amazon GuardDuty intelligent threat detection capabilities and real-time cost estimation of backup jobs, as well as advanced restore features for Instances, Volumes and AWS Databases.

Cloud Daddy will be exhibiting at Amazon's re:Invent conference, Nov. 26-30 in Las Vegas, Nev. CDSB Version 1.3 has been launched on the AWS Marketplace prior to the conference.

"Using Amazon GuardDuty on the CDSB platform underscores our commitment to providing modern-era data protection," said Cloud Daddy CEO and Founder Joe Merces. "The ongoing barrage of cyber threats and ransomware attacks from malicious actors makes it essential for organizations to have intelligent threat detection as a security countermeasure to strengthen overall data protection."

Pac-12 Conference Goes All-In on Amazon Web Services

Amazon Web Services, Inc. (AWS), an Amazon.com company, announced that the Pac-12 Conference (Pac-12) has extended its strategic relationship with AWS, going all-in on the world's leading cloud and selecting AWS as its standard for machine learning and media workloads. Pac-12 leverages AWS's industry-leading services for a wide variety of production use cases, including its website, mobile applications, and live television networks, to transform the collegiate sports experience for its millions of fans. As a key part of its all-in migration, Pac-12 will move business-critical databases to Amazon Aurora to gain the speed and availability of a commercial database with the simplicity and cost effectiveness of open source.  

Turbonomic Leads Customers Through Their AWS Journey with an AI-Powered Decision Engine

Turbonomic is demonstrating how customers are accelerating their Amazon Web Services (AWS) migrations and optimizing their estates through workloads that self-manage, anywhere, in real-time at AWS re:Invent, from November 26-30 in Las Vegas, NV (booth #413).

Organizations are rushing to the cloud for agility and cost savings to speed innovation. However, realizing full elasticity while adapting to dynamic application demand is a real-time challenge that is beyond human scale – with mistakes being costly. Additionally, a growing skills gap is hampering many organizations’ journeys, in large part due to the tradeoff of speed of application delivery over operational excellence.
 

Igneous Strengthens Integration with Amazon Web Services, Google Cloud Platform, and Microsoft Azure

Igneous, a leader in Unstructured Data Management (UDM), announced the immediate availability of enhanced integrations with all three major public cloud storage providers. These enhanced integrations give data-centric organizations the flexibility and control to programmatically move individual datasets and exports to any storage tier in public clouds. In addition, cloud data management operations are handled via the Igneous UDM as-a-Service solution, affording customers lower operational costs.

Customers currently use Igneous' API-based cloud storage integrations for efficient long-term data protection and archive. Moving datasets in and out of public clouds from datacenters at scale, however, can burden enterprise IT departments, which face growing challenges. Igneous' exclusive NAS export control shifts this burden onto the Igneous platform via programmatic, end-to-end unstructured data management as-a-Service, regardless of size of files, density of filesystems, or volume of data offsite for storage cost optimization. Igneous equips customers to automatically replicate backup exports and archive datasets to Microsoft Azure's Hot, Cool, and Archive storage tiers; Google Cloud Platform's Regional, Nearline, and Coldline storage tiers; and Amazon Web Services' S3 Standard, S3 Infrequent Access (IA), and Glacier storage tiers.

 

Kentik Expands Analytics for Cloud with Extended Visibility into Amazon Web Services

Kentik, the provider of network analytics for the cloud-native world, announced the expansion of its platform to provide integrated agentless cloud visibility into Amazon Web Services (AWS). With Kentik's cloud analytics suite, enterprises and service providers gain control over cloud and hybrid environments, enabling greater performance, security, cloud cost-control, and ultimately, a better experience for customers.

Across leading cloud providers, virtual private cloud (VPC) Flow Logs act as a detailed source of raw data for organizations to see the IP traffic to, from, and within their cloud-hosted applications. However, many of these organizations do not have the modern network analytics needed to derive critical networking insights from this raw data. When an issue or outage occurs, a lack of visibility into a cloud environment can stall availability and result in the loss of revenue, reputation, and customers in an instant. Kentik's added support for AWS Flow Logs help organizations maintain visibility across environments without the deployment of agents or cloud appliances.

"While cloud providers take away the huge overhead of building, maintaining, and upgrading physical infrastructure, network management doesn't disappear after migrating to the cloud. In fact, a majority of organizations find that understanding the network behavior of their cloud-deployed applications is a critical part of ensuring their performance and security ー and directly ties to maintaining revenue and customer experience," said Avi Freedman, co-founder and CEO of Kentik. "Adding support for AWS Flow Logs into our platform is just one more way the Kentik team is working to provide pervasive visibility of network traffic regardless of which infrastructure an organization chooses to host its applications in."

 

Cloudamize Helps The Instillery Triple the Speed of Migration Planning and Grow Its Cloud Business

The Instillery, a public cloud consulting and managed services company, has leveraged the Cloudamize cloud computing analytics platform to plan cloud migrations three times faster for enterprises moving to Amazon Web Services (AWS). By using Cloudamize's automated analytics for cloud assessment and migration planning, The Instillery can more quickly instill confidence to migrate and get clients to the cloud faster - ultimately helping it increase the growth of its cloud business and provide exceptional client experiences.

Before implementing Cloudamize, attempting to gain full visibility into clients' on-premises infrastructures was painfully time-consuming for both The Instillery and its clients. Accurately and efficiently predicting cost and performance in AWS and identifying the best path to the cloud were major challenges that led to delayed cloud adoption by clients.

Because manual assessment and migration planning cost so much time, taking on new projects was nearly impossible for The Instillery without any extra bandwidth. As a result, the cloud consulting company chose to partner with Cloudamize.

Datadog Enhances Monitoring for Serverless Applications in AWS

Datadog announced comprehensive end-to-end monitoring for AWS Lambda functions. This capability is made possible by the release of a new integration with AWS X-Ray, which traces serverless calls while they run on AWS-operated infrastructure. Traces from AWS X-Ray, as well as metrics and logs data from Lambda functions, are available in a new serverless-centric user interface called Datadog Cloud Functions. Both of these new features are available for public beta.

While serverless functions can simplify development and scaling in certain areas of an application, they have also introduced significant complexity in performance monitoring. AWS Lambda runs on AWS-operated infrastructure where traditional instrumentation methods cannot be deployed. Without insight into this infrastructure, DevOps teams face blind spots where performance issues can occur for applications that rely on AWS Lambda.