Operations | Monitoring | ITSM | DevOps | Cloud

Anodot

Organizations Grapple with Skyrocketing Cloud Costs, Anodot Survey Finds

The pandemic upended business for many or at the very least cast a grim shade of uncertainty, so, as many took to working from home, they also were commissioned with cutting waste. Among the biggest sources of misspend in 2020 – cloud services. And remote work may have actually spurred the problem, as organizations migrate more applications to the cloud to support these workers.

Good Catch: Partner Monitoring

Operating in today’s digital economy often involves dealing with an extensive network of third-party providers and partners. Common types of partner networks include affiliates, vendors, suppliers, marketing platforms, and payment gateway providers. Partner networks involve tracking and analyzing data from multiple providers, each of which creates thousands of metrics and billions of events each day.

Anodot vs. AWS: Which Has the Most Accurate Cloud Cost Forecasts?

The move to cloud computing has been a no-brainer for many enterprise companies. But cloud computing is an expense that, unlike many other operating costs, is largely variable. Many companies — including the fastest-growing startups, largest enterprises, and leading government agencies — choose AWS to help them streamline fragmented processes, reduce costs, become more agile, and innovate faster.

Ways AI is Driving More Efficient Application Performance Monitoring

In the digital age, the speed and performance of apps and websites have a huge impact on the customer experience. To ensure a high level of quality, Application Performance Monitoring (APM) refers to the process of tracking the performance and availability of software systems. Let’s look at what Application Performance Monitoring is, how AI and machine learning are being applied to stay ahead of the competition, and several real-world use cases.

Automated Anomaly Detection: The next step for CSPs

Today’s telecom engineers are expected to handle, manage, optimize, monitor and troubleshoot multi-technology and multi-vendor networks, in a competitive and unforgiving market with minimal time to resolution and high costs for errors. With the ongoing growth in operational complexities, effectively managing radio networks, current and legacy core networks, services, and transport and IT operations is becoming a radical challenge.

Anodot Helps CSPs Jump-Start Zero-Touch Network Monitoring

Anodot’s autonomous network monitoring platform provides the ability to monitor cross-layer network performance and service experience in one platform. We collect all data types, at any scale, and use AI/ML to correlate anomalies across the entire telco stack. Our platform is the "brain" on top of the OSS that detects service-impacting incidents in real time. We help customers like T-Mobile and Megafon protect their revenue and improve service experience - reducing the number of alerts by 90% and shortening Time-to-Resolve incidents by 30%.

Bridge the gap in your OSS by adding an AI brain on top

Telecom companies monitor their network using a variety of monitoring tools. There are separate fault management and performance management platforms for different areas of the network (core, RAN, etc.), and infrastructure is monitored separately. Although these solutions monitor network functions and logic – something that would seem to make sense — in practice this strategy fails to produce accurate and effective monitoring or reduce time to detection of service experience issues.