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AlertOps Joins Siemens Connect Ecosystem

AlertOps has joined the growing Siemens Connect Ecosystem – a network that brings together experts in software development, IT, cybersecurity, remote and digital services, and business intelligence.

“... Desigo CC and APOGEE Automation users can now easily integrate with AlertOps, gaining unprecedented control and management over their smart building systems that will result in tremendous operational visibility and efficiencies by significantly reducing major incident downtime. AlertOps is essential for businesses to handle the exponentially increasing IT complexity of tomorrow. Our platform is uniquely designed, from the ground-up, to go beyond just simple alerting, but empower enterprises with the ability to orchestrate responses within complex team structures.” said Chellasamy Jamburajan, Co-founder and CEO of AlertOps.

The Siemens Ecosystem pulls together the tools, processes, training, and support necessary for third-party solution providers to successfully create solutions that integrate seamlessly with Siemens’ platforms, including its Building Management System Desigo CC, the APOGEE Automation System, and related platforms.

“As world events and the rapid evolution of technology are pushing the boundaries of smart buildings, a thriving partner ecosystem is extremely critical to innovate quickly, deliver value to customers, and enter new markets much faster,” says Rene Herrera, Head of Ecosystem and Development at Siemens Smart Infrastructure USA. “While it is extremely difficult for any one company to deliver a solution that solves customers’ specific challenges, our Siemens Connect partners and domain expertise across industries allow us to co-innovate at a pace that exceeds customer needs and expectations.”

AlertOps improves incident management by consolidating a customer’s entire digital stack into a single unified view; providing correlation insights; and automating incident management and remediation actions for proactive responses. AlertOps automates incident response with a single process that eliminates operational and informational silos with intelligent rich-text alerts that enables response orchestration with enterprise complexity. Users can receive alerts and orchestrate resolutions through their preferred collaboration tools (Teams, Slack, GChat, etc.), SMS, phone, mobile app, or email.

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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 ...

AlertOps Joins Siemens Connect Ecosystem

AlertOps has joined the growing Siemens Connect Ecosystem – a network that brings together experts in software development, IT, cybersecurity, remote and digital services, and business intelligence.

“... Desigo CC and APOGEE Automation users can now easily integrate with AlertOps, gaining unprecedented control and management over their smart building systems that will result in tremendous operational visibility and efficiencies by significantly reducing major incident downtime. AlertOps is essential for businesses to handle the exponentially increasing IT complexity of tomorrow. Our platform is uniquely designed, from the ground-up, to go beyond just simple alerting, but empower enterprises with the ability to orchestrate responses within complex team structures.” said Chellasamy Jamburajan, Co-founder and CEO of AlertOps.

The Siemens Ecosystem pulls together the tools, processes, training, and support necessary for third-party solution providers to successfully create solutions that integrate seamlessly with Siemens’ platforms, including its Building Management System Desigo CC, the APOGEE Automation System, and related platforms.

“As world events and the rapid evolution of technology are pushing the boundaries of smart buildings, a thriving partner ecosystem is extremely critical to innovate quickly, deliver value to customers, and enter new markets much faster,” says Rene Herrera, Head of Ecosystem and Development at Siemens Smart Infrastructure USA. “While it is extremely difficult for any one company to deliver a solution that solves customers’ specific challenges, our Siemens Connect partners and domain expertise across industries allow us to co-innovate at a pace that exceeds customer needs and expectations.”

AlertOps improves incident management by consolidating a customer’s entire digital stack into a single unified view; providing correlation insights; and automating incident management and remediation actions for proactive responses. AlertOps automates incident response with a single process that eliminates operational and informational silos with intelligent rich-text alerts that enables response orchestration with enterprise complexity. Users can receive alerts and orchestrate resolutions through their preferred collaboration tools (Teams, Slack, GChat, etc.), SMS, phone, mobile app, or email.

The Latest

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 ...