Streamcore, a provider of cloud services delivery assurance solutions, announced new features to its StreamGroomer and SGM solutions, as part of the new 6.0 release, that enable business-oriented and network-aware visibility for application services delivered from a private, public or hybrid cloud, or from traditional data centers.
With the 6.0 release, enterprises can successfully adopt cloud services and rely on Streamcore solutions to supervise service levels, provide showback/chargeback reports to internal customers such as business units, and troubleshoot performance slowdowns.
The deployment of Streamcore products is highly flexible and can match any cloud services delivery model including: in front a corporate centralized Internet access to manage public cloud services (e.g., SaaS), in front of a data center MPLS access to manage the delivery of private cloud services, and even within branch offices to manage a direct access to external cloud services.
Rich Deep Packet Inspection (DPI) and Measurement Engines to Monitor any Public/Private Cloud Application: In this new 6.0 release, Streamcore has reinforced its DPI technology to identify on the network any public or private cloud-based service, with a predefined catalog of more than 400 services (including Salesforce, Citrix GotoMeeting, etc.). An enterprise can automatically enable application performance measurements for any selected cloud-based service. A new end-to-end WAN service level management (SLM) indicator is available to easily detect when the branch network access is the source of performance degradations.
Automated Reports for Showback/Chargeback: New capabilities have been added to the StreamReport application to help the IT team share cloud services performance and usage information with internal customers. The IT administrator can use predefined report templates and create performance dashboards per business unit in a few clicks. Trends can be computed for capacity planning or to detect abnormal application behaviors. When generating PDF reports, open hours can also be taken into account to focus on only relevant statistics for the business.
Integrated per Session Back-in-time Troubleshooting Tools: A session history feature has been integrated into the centralized management to ease troubleshooting for any traditional or cloud-based application. In order to investigate a past event, these new tools provide back-in-time traffic auto-discovery, TopN and per session visibility. This feature takes advantage of Streamcore's DPI engine to auto-discover HTTP/HTTPS applications and to provide advanced information per session (e.g., response time, MOS, hostname/URL, SSL certificate).
Combined Bandwidth Control: When performance issues are caused by network congestion, Streamcore's integrated bandwidth management and behavior-based traffic prioritization mechanisms can be enabled to protect critical applications. In the 6.0 release, these mechanisms have been enriched to automatically manage competition between desktop video flows, and “time-of-day” policies have been added, in particular to change prioritization policies at night time or at the end of a month.
This 6.0 release also includes other improvements:
- New graphical user interface
- StreamMap enhancement to follow an application deployment per branch on a geographical map
- IPv6 traffic monitoring
- Branch appliances additional capabilities: asymmetrical web caching, LAN inventory
“This new release is the most ambitious Streamcore has ever released,” said Bertrand Vincens, Streamcore product manager. “Our customers will be able to experience a smooth transition towards IT-as-a-Service, especially in a hybrid cloud environment mixing public and private cloud services. Combined with our business-oriented approach, we have the most innovative solution on the market for enterprises that have embraced the cloud services model.”
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 ...