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OpsRamp Announces Fall 2020 Release

OpsRamp announced its Fall 2020 Release.

The latest release delivers a frictionless user experience with rapid onboarding of cloud infrastructure, curated dashboards, expanded support for containerized applications, and new process automation functionality.

Highlights of The OpsRamp Fall 2020 Release:

- Faster time to value for IT and cloud operations with seamless onboarding of cloud and cloud-native resources.

- Transformed user experience enabling IT organizations to demonstrate business value with sophisticated dashboards and relevant metrics.

- Expansion of IT automation resulting in time and cost savings and faster resolution.

Key Features:

Discovery and Monitoring: The OpsRamp Fall 2020 Release brings a brand new user interface and rapid onboarding, helping IT professionals get immediate visibility into their hybrid IT environments.

■ UX Redesign: The OpsRamp platform delivers a transformed user experience to reduce manual configuration efforts and deliver faster time to metrics for IT operations teams. It features a new Onboarding Wizard which eliminates the need for users to individually add cloud infrastructure resources and configure metrics for monitoring. Users can complete their entire onboarding in no time as it takes only a few simple steps for OpsRamp to discover and monitor resources. Auto monitoring is currently available for the following technologies:
- AWS, Azure, and Google Cloud services
- Kubernetes resources (including Openshift and K3s)
- Linux agent-based resources (RHEL, SUSE, Oracle Linux, Amazon Linux)

■ Curated Dashboards: Auto monitoring includes the creation of dashboards, which comes in a brand-new interface and is built on a new dashboarding model based on the Prometheus Query Language (PromQL). IT pros no longer have to spend time creating and configuring dashboards. They can also quickly build new custom dashboards from scratch or modify dashboards by editing each tile.

■ Expanded Container and Cloud Monitoring Support: OpsRamp is extending its cloud native monitoring capabilities to support the detection and monitoring of applications running in containerized workloads. Kubernetes administrators can gain deeper performance insights into the services supporting their business applications. Over 25 different applications are auto-detectable including Cassandra, Kafka, MongoDB, and MySQL. OpsRamp’s public cloud monitoring has also been extended to support AWS ECS, Azure Functions, Azure Hyperscale (PostgreSQL), and Azure SQL Managed Instance.

Remediation & Automation: The OpsRamp Fall 2020 Release introduces powerful new IT process automation capabilities to save time and improve governance for event and incident management. Process automation helps execute a sequence of automation tasks, where workflows can be triggered by alerts, on updates to resources, or on a recurring schedule.

■ Human interaction for automated workflows: IT operators can now add human interaction user tasks, such as requesting manager approval to take an action, into an automated process. This ensures the right actions are taken to resolve an issue, where risks are assessed, and costly errors are avoided which can lead to larger problems.

■ Automation Workflow Auto-Suggestions: OpsRamp’s OpsQ bot now recommends automation workflows that can assist in faster troubleshooting, diagnostics, and remediation actions. Users can enable first-response policies that leverage machine learning models for recommending which automation workflows to use, thereby significantly reducing mean-time-to-resolution.

■ Workflow management: OpsRamp offers end-t0-end visibility into automation workflows and associated tasks so that users can proactively monitor and troubleshoot issues that arise during production. Users can also use workflow management for auditing and compliance purposes, as a record of what took place, when and by whom.

“A brand new user experience in the OpsRamp Fall 2020 Release will empower IT operations teams to work smartly and efficiently as well as deliver resilient technology services for their end-users,” says Ciaran Byrne, VP of Product Management at OpsRamp. “Enterprises have ramped up investments in the public cloud during 2020 to be cost efficient and more agile during a recession. With our new capabilities for cloud monitoring and process automation, CIOs can focus on post-pandemic recovery efforts.”

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OpsRamp Announces Fall 2020 Release

OpsRamp announced its Fall 2020 Release.

The latest release delivers a frictionless user experience with rapid onboarding of cloud infrastructure, curated dashboards, expanded support for containerized applications, and new process automation functionality.

Highlights of The OpsRamp Fall 2020 Release:

- Faster time to value for IT and cloud operations with seamless onboarding of cloud and cloud-native resources.

- Transformed user experience enabling IT organizations to demonstrate business value with sophisticated dashboards and relevant metrics.

- Expansion of IT automation resulting in time and cost savings and faster resolution.

Key Features:

Discovery and Monitoring: The OpsRamp Fall 2020 Release brings a brand new user interface and rapid onboarding, helping IT professionals get immediate visibility into their hybrid IT environments.

■ UX Redesign: The OpsRamp platform delivers a transformed user experience to reduce manual configuration efforts and deliver faster time to metrics for IT operations teams. It features a new Onboarding Wizard which eliminates the need for users to individually add cloud infrastructure resources and configure metrics for monitoring. Users can complete their entire onboarding in no time as it takes only a few simple steps for OpsRamp to discover and monitor resources. Auto monitoring is currently available for the following technologies:
- AWS, Azure, and Google Cloud services
- Kubernetes resources (including Openshift and K3s)
- Linux agent-based resources (RHEL, SUSE, Oracle Linux, Amazon Linux)

■ Curated Dashboards: Auto monitoring includes the creation of dashboards, which comes in a brand-new interface and is built on a new dashboarding model based on the Prometheus Query Language (PromQL). IT pros no longer have to spend time creating and configuring dashboards. They can also quickly build new custom dashboards from scratch or modify dashboards by editing each tile.

■ Expanded Container and Cloud Monitoring Support: OpsRamp is extending its cloud native monitoring capabilities to support the detection and monitoring of applications running in containerized workloads. Kubernetes administrators can gain deeper performance insights into the services supporting their business applications. Over 25 different applications are auto-detectable including Cassandra, Kafka, MongoDB, and MySQL. OpsRamp’s public cloud monitoring has also been extended to support AWS ECS, Azure Functions, Azure Hyperscale (PostgreSQL), and Azure SQL Managed Instance.

Remediation & Automation: The OpsRamp Fall 2020 Release introduces powerful new IT process automation capabilities to save time and improve governance for event and incident management. Process automation helps execute a sequence of automation tasks, where workflows can be triggered by alerts, on updates to resources, or on a recurring schedule.

■ Human interaction for automated workflows: IT operators can now add human interaction user tasks, such as requesting manager approval to take an action, into an automated process. This ensures the right actions are taken to resolve an issue, where risks are assessed, and costly errors are avoided which can lead to larger problems.

■ Automation Workflow Auto-Suggestions: OpsRamp’s OpsQ bot now recommends automation workflows that can assist in faster troubleshooting, diagnostics, and remediation actions. Users can enable first-response policies that leverage machine learning models for recommending which automation workflows to use, thereby significantly reducing mean-time-to-resolution.

■ Workflow management: OpsRamp offers end-t0-end visibility into automation workflows and associated tasks so that users can proactively monitor and troubleshoot issues that arise during production. Users can also use workflow management for auditing and compliance purposes, as a record of what took place, when and by whom.

“A brand new user experience in the OpsRamp Fall 2020 Release will empower IT operations teams to work smartly and efficiently as well as deliver resilient technology services for their end-users,” says Ciaran Byrne, VP of Product Management at OpsRamp. “Enterprises have ramped up investments in the public cloud during 2020 to be cost efficient and more agile during a recession. With our new capabilities for cloud monitoring and process automation, CIOs can focus on post-pandemic recovery efforts.”

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...