With Loom, moving to the cloud does not require sacrificing visibility or control over your infrastructure and applications.
AWS presents an enormous opportunity for organizations looking for a more nimble, efficient, scalable, and cost-effective IT infrastructure. Every day more enterprises realize the economic and business flexibility offered by cloud computing. However, when moving to a cloud-based infrastructure, deploying applications and systems in AWS is not enough. Modern enterprises also need to be able to monitor and troubleshoot these AWS-based applications and systems in real-time. In order to do that, organizations need to quickly derive insight from the logs and other machine data that their applications, systems, and infrastructure generate in AWS.
Loom Systems makes it easy for organizations to transition to AWS or grow their AWS deployment by enabling enterprises to improve their operational posture. This is done by quickly diagnosing and resolving applications and infrastructure issues before they impact customers. With Loom Systems, AWS customers rapidly gain insight into the uptime, performance, and availability of their applications and systems.
Too often, an on-premises deployment contributes to the problem it was meant to solve. A shift to the cloud enables the modern enterprise to increase focus on product differentiation and outpace competitors in delivering innovation to the market. To meet this need, Loom Systems has developed the next-generation log management and analytics solution — an enterprise-class, real-time, petabyte-scale solution, delivered as a cloud-based service.
Customers using the Loom Systems service benefit from a number of unique capabilities:
Loom Systems can be deployed in as little as 5 minutes, with zero operational overhead. As a cloud-based service, Loom Systems handles all operational burden, reducing Total Cost of Ownership as well as freeing up customers’ resources to focus on critical business and IT issues and cutting down the mean time to repair by 50%.
Problem Resolution with AI:
Your mean time to resolution of performance issues will be improved by up to 90%, as the AI of Loom Systems is able to pinpoint the underlying root cause of application problems. Loom Systems notifies you of problems in your AWS infrastructure components including EC2, ELB, RDS, S3, and Availability Zones.
Loom Systems proactively discovers behaviors and patterns hidden in massive amounts of machine data and alerts customers in real-time, delivering both IT value and business insights.
Improve AWS Security and Compliance:
Moving to the cloud does not require sacrificing visibility or control over your infrastructure and applications. Monitor all user access, platform configurations, and changes across all AWS and on-premises workloads and generate audit trails to demonstrate compliance.
Loom Systems was developed, having web-scale applications with thousands of servers in mind. Its artificial intelligence is able to reduce the complexity of monitoring highly dynamic application environments including microservices architecture, container deployments, and cloud instances drastically. Therefore, it works for DevOps teams working in startups, mid-sized companies, and large organizations.
Loom Systems provides cloud-native monitoring for tomorrow's applications. In under 5 minutes you can start monitoring your full stack without any manual configuration. End-to-end monitoring, covering everything from front-end, to back-end, to your AWS infrastructure, was never that easy!
Loom Systems’ artificial intelligence autonomously detects performance and availability issues and pinpoints their root causes. Resolve application problems before your customers are impacted.
Real-time, full stack monitoring out of the box, Loom Systems visualizes application health, performance logs, and metrics.
Replace multiple tools with one unified monitoring solution: user experience, application logs, and AWS metrics including CloudWatch data, 3rd party application logs, network metrics, and log analytics.
Say Goodbye to Static Alerts. Unlike traditional monitoring, which relies on static thresholds, Loom Systems combines machine learning algorithms which automatically set baselines for your application with your AWS infrastructure components including EC2, EBS, ELB, and RDS. Anomalies are automatically detected by artificial intelligence before customers are impacted.
Quick identification of application problems on underlying infrastructure including IaaS, PaaS, Amazon Elastic Compute Cloud (Amazon EC2), and Amazon S3 (Simple Storage Service).
The root causes of issues are autonomously identified, correlated, and reported with interactive visualization of problems accompanied by an instant insight towards solving the issue.
Organizations need to make sure their environments maintain compliance and match the needs of modern applications. Maintaining adequate controls to protect environments from threats and mitigating any vulnerabilities, is also of utmost importance.
AWS provides much of the security needed, but before an organization begins deploying their applications on the cloud, it is important that they have a clear understanding of their role in keeping their data secure. While the AWS infrastructure is designed for security, reliability, and compliance, you are responsible for securing the following on your own AWS environment.
Your AWS logs provide a set of events to help proactively identify suspicious user behavior and strengthen your security posture. Once your logs are streamed to Loom, you will be automatically notified of events specific to your PCI environment.
AWS Cloud Trail
Monitor all user activity in your AWS account
Help ensure security and compliance
Amazon Cloud Watch
Visualize and analyze CloudWatch metrics and VPC flow logs
Automatically monitor IP traffic to and from VPC network interfaces for anomalies and pattenrs that may indicate malicious activity
Amzaon VPC Flow Logs
Capture information about the IP traffic going to and from the network interface in your VPC
Automatically troubleshoot why specific traffic is not reaching an instance, help diagnose overly restrictive security group rules, and monitor the traffic that is reaching your instance
Automatically analyze findings from automated security assessments
Can be Integrated with CloudTrail and Config