AppDynamics announced its availability on the Rackspace Open Cloud.
AppDynamics appears in the Rackspace Cloud Tools Marketplace and offers an OpenStack connector to allow customers to create rules for scaling the application based on performance metrics in the OpenStack interface.
Rackspace customers will be able to take advantage of AppDynamics’ auto-scaling feature through its OpenStack connector.
This feature will allow customers to create rules in OpenStack web interface to automatically provision and de-provision resources based on performance metrics from AppDynamics, such as response time and load.
“We feel that AppDynamics and its auto-scaling capabilities will help drive greater value for customers. This feature will allow customers to be much more proactive when it comes to dealing with application performance,” said Ven Shanmugam, Senior Manager of Cloud Market Development at Rackspace. “AppDynamics’ auto-scaling helps customers from having to worry about adding more resources when load increases – they can create rules for AppDynamics and OpenStack to do that for them.”
“We’re excited to work with Rackspace to provide an APM solution to their customers,” said Stuart Horne, Vice President of Business Development at AppDynamics. “Rackspace is a dominant player in the PaaS space, and its customers are using it to build very complex and sophisticated applications. We think we can deliver an important service to these customers – we can deliver deep visibility into these applications, whether they’re in the public cloud, the datacenter, or a mix of the two.”
The Latest
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...
Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...
Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...
OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...
Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...
The power of Kubernetes lies in its ability to orchestrate containerized applications with unparalleled efficiency. Yet, this power comes at a cost: the dynamic, distributed, and ephemeral nature of its architecture creates a monitoring challenge akin to tracking a constantly shifting, interconnected network of fleeting entities ... Due to the dynamic and complex nature of Kubernetes, monitoring poses a substantial challenge for DevOps and platform engineers. Here are the primary obstacles ...
The perception of IT has undergone a remarkable transformation in recent years. What was once viewed primarily as a cost center has transformed into a pivotal force driving business innovation and market leadership ... As someone who has witnessed and helped drive this evolution, it's become clear to me that the most successful organizations share a common thread: they've mastered the art of leveraging IT advancements to achieve measurable business outcomes ...
More than half (51%) of companies are already leveraging AI agents, according to the PagerDuty Agentic AI Survey. Agentic AI adoption is poised to accelerate faster than generative AI (GenAI) while reshaping automation and decision-making across industries ...
Real privacy protection thanks to technology and processes is often portrayed as too hard and too costly to implement. So the most common strategy is to do as little as possible just to conform to formal requirements of current and incoming regulations. This is a missed opportunity ...
The expanding use of AI is driving enterprise interest in data operations (DataOps) to orchestrate data integration and processing and improve data quality and validity, according to a new report from Information Services Group (ISG) ...