Epsagon, a microservices application monitoring company, officially unveiled its automated, agentless platform for any cloud application.
Originally built to support serverless applications on AWS, this release now enables DevOps and engineering teams to quickly troubleshoot, monitor, and visualize their cloud applications across any kind of microservice such as serverless frameworks, containers or Kubernetes. Epsagon's technology is fully automated and was built for modern environments where the host may not be accessible, which makes traditional monitoring agents obsolete.
Epsagon's technology combines automated distributed tracing and logging with no manual code instrumentation required. The product is suitable for container-based services which run on a VM or use Kubernetes, serverless services such as AWS Lambda, and modern orchestration services such as a Managed Kubernetes service or AWS Fargate.
"We're seeing a seismic shift in microservices with DevOps and engineering teams moving their workloads into multiple architectures like containers, serverless frameworks, and Kubernetes," said Nitzan Shapira, CEO and Co-founder, Epsagon. "But current microservices environments are a black box and fail to provide these teams with visibility into their applications in production. The traditional monitoring and logging solutions aren't built to handle these modern architectures, forcing teams to spend resources building in-house solutions just to keep development moving forward. That's precisely why we've built an automated monitoring and logging solution: to provide a zero-touch, low-maintenance approach to troubleshooting, monitoring, and visualizing cloud applications."
Shapira adds, "We started with automated monitoring for serverless and AWS Lambda-based applications. Our customers have gained great value from our serverless capabilities, and they kept asking for an extended, more generalized solution, which will bring the troubleshooting and monitoring capabilities of Epsagon to their cloud-based, microservices environments as well."
The Latest
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...
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 ...