Datadog announces integration with Microsoft Azure DevOps to derive metrics from their continuous integration pipelines

Datadog announced Thursday a new integration with Microsoft Azure DevOps. Users can pull in events, derive metrics from their continuous integration pipelines, and correlate this information with real-time data from their entire stack in Datadog. 

In addition, teams can set Datadog monitors as gates in their Azure DevOps deployment pipelines, enabling them to detect and abandon bad releases automatically before users are impacted.

Companies are increasingly adopting continuous integration and continuous deployment best-practices to improve the speed and agility of their developer operations. As part of this, many teams rely on services like Azure DevOps in order to release more frequent, smaller updates to their code. 

As updates proliferate, monitoring this activity in context with application performance data becomes critical. Without this visibility, determining a root cause and fixing bugs in dynamic environments can be very time consuming, resulting in extended outages.

In addition to troubleshooting deployments, managers can also use this integration to understand the efficiency of their DevOps processes. Datadog generates metrics to help track Azure DevOps events, so users can see how often builds are completing or failing, the frequency of code commits, and the duration of work items. This data provides feedback for teams to track and improve their workflows as they implement agile methodology.

“We’re excited that users will no longer need to jump between tools to monitor how deployments might be impacting their applications,” said Steve Harrington, product manager at Datadog. “With the ability to stop Azure DevOps deployments automatically based on issues detected in Datadog, this integration provides a powerful tool for mitigating or preventing downtime altogether.”

Altran aligns with Baicells to create multi-platform 5G RAN offering to help OEMs and operators monetize 5G faster

Altran has collaborated with Baicells to developed a 5G RAN multiplatform solution using Altran’s decades of wireless expertise. As the 5G ecosystem rapidly expands, a number of original equipment manufacturers (OEMs) are collaborating with Altran to design and deliver solutions that leverage 5G technology for both operators and enterprises. 

Baicells, a cloud-based 4G/5G wireless solutions provider, is the latest OEM to select Altran’s 5G RAN software framework. With Altran’s expertise, Baicells will fast track its 5G RAN solution to support several key markets, including telecommunications, industrial, enterprise and private networks. 

5G is expected to achieve economies of scale over the next two to three years, lowering costs across network architecture. As such, RAN is a critical piece of infrastructure to deliver monetizable use cases. Altran’s innovative 5G RAN software framework enables OEMs to accelerate product development and support deployment roadmaps for operators at a reduced cost. 

The framework uses a single software package that works across both millimeter wave and sub-6GHz for both non-standalone (NSA) and standalone (SA) modes, regardless of platform type. This significantly reduces the cost of maintenance for software releases across different platforms. 

The 5G RAN framework leverages Altran’s decades of wireless expertise, including stack development for 2G, 3G and 4G networks, to support multiple platforms and use cases. It is fully compliant with 3GPP, O-RAN, Open RAN and service control functions (SCF) for femto application platform interface (FAPI) and network FAPI (nFAPI) interfacing, making it interoperable with multiple physical layer (PHY) and remote radio unit (RRU) providers and ecosystems.

“We worked closely with Baicells to create a differentiated 5G RAN solution that reflects the company’s commitment to innovation, while also ensuring that it is cost-effective for operators,” said Dominique Cerutti, chairman and chief executive officer of Altran. “Operators are looking to recoup their investments in 5G infrastructure faster, and the ability to quickly deploy multiple 5G use cases will be critical for achieving a good ROI. To achieve successful 5G deployments, robust RAN solutions will be key.”