By design and tradition, telecoms networks are built to last. But in a world where the rate of innovation seems to be accelerating, the end result is that a lot of legacy infrastructure needs to keep pace with, and accommodate, multiple ‘next generation’ phases. How long this can be maintained before the imperative to rip and replace becomes impossible to ignore is the multi-million-dollar question.

The ability to deliver IT services in an effective and user-friendly manner is a key to success in the IT Service Management world. Alloy Navigator delivers a great experience to employees and customers by automating a broad range of standard service requests, including employee onboarding, password resets, provisioning remote access, and hardware requests. Now with the latest update for our mobile app, service requests can be managed using phones or tablets.

At Cloudsmith, helping fledgeling startups grow from a single person operation to enterprise-level organisations is a constant joy! In those early stages, startups need all the help they can get to survive, and even veteran organisations experience similar challenges when scaling up rapidly. Cloudsmith can help with our self-service approach to managing and defining storage and bandwidth limits to keep costs under control while allowing you to scale when needed.

Kubeflow, the ML toolkit on K8s, now fits on your desktop and edge devices! 🚀 Kubeflow provides the cloud-native interface between Kubernetes and data science tools: libraries, frameworks, pipelines, and notebooks. > Read more about what is Kubeflow To make Kubeflow the standard cloud-native tool for MLOps within the AI landscape, the open-source community has accomplished the aggregation and integration of many projects on top of Kubernetes.

Logz.io has a comprehensive API that allows you to send and query logs or metrics easily. Now, that process is getting even easier for infrastructure monitoring. Logz.io has added support for the open source grafana API. In other words, you can use the OSS grafana’s integration within Logz.io.

With the promise of unprecedented potential, artificial intelligence (AI) and predictive analytics have permeated into every field of business. Due to their ability to help retail staff serve customers better, personalize video recommendations based on users’ preferences, reduce employee churn, and detect fraud and security threats, AI and predictive analysis are rapidly being adapted across industry verticals.

As data continues to explode across the enterprise, we are finding that it is becoming increasingly challenging for organizations to keep up. A recent Splunk report, "The Data Age is Here," found that 57% of companies interviewed expressed that the volume of data is growing faster than they can manage, with 47% bluntly saying they will fall behind when faced with rapid data volume growth.

As your tech stack increases, every new device (network devices, servers, applications) creates a large amount of distributed log data. This forms part of what is called “machine data”, which is growing 50x faster than traditional business data. In fact, everything in your stack is continuously writing new events to your log files, including error logs that contain a record of critical errors encountered by a running application, operating system, or server.