Operations | Monitoring | ITSM | DevOps | Cloud

Due to its complex nature compared to the on-prem architecture, the cloud presents several challenges to maintaining observability in your apps. This is why you need a robust cloud monitoring solution to care for your cloud-based apps and your cloud. As more and more companies move their operations to the cloud, the need for cloud monitoring solutions continues to grow. Understanding the various aspects of cloud monitoring and how it affects your application is essential.

We often think of DDoS attacks as volumetric malicious traffic targeted against organizations that effectively take a service offline. Most frequently detected by anomalous behavior found in NetFlow, sFlow, IPFIX, and BGP data, what may not be well understood is how the DDoS mitigation works and how it’s possible to visualize the effectiveness of the mitigation during and after an attack.

When you think of a network, what comes to mind? MySpace, Facebook, Instagram, TikTok… LinkedIn if you’re all business? No, no, no, not what I meant! Not social networks – IT networks. What comes to mind now? Switches? Access points? Firewalls? A score of ethernet cabling? For us too, the network symbolizes all the traditional things that Auvik helps IT teams around the world manage and monitor.

Varland Plating has been in the electroplating business since 1946. At their industrial job shop in Cincinnati, Ohio, they perform complex electrochemical treatments on steel, brass, and copper manufactured parts to create everything from corrosion-resistant building materials to decorative metals.

One of InfluxData’s main products is InfluxDB Cloud. It’s a cloud-native, SaaS platform for accessing InfluxDB in a serverless, scalable fashion. InfluxDB Cloud is available in all major public clouds. InfluxDB Cloud was built from the ground up to support auto-scaling and handling different types of workloads. Under the hood, InfluxDB Cloud is a Kubernetes-based application consisting of a fleet of micro-services that runs in a multi-cloud, multi-region setup.

Logz.io is one of Logz.io’s biggest customers. To handle the scale our customers demand, we must operate a high scale 24-7 environment with attention to performance and security. To accomplish this, we ingest large volumes of data into our service. As we continue to add new features and build out our new machine learning capabilities, we’ve incorporated new services and capabilities.

Last week, we were thrilled to launch a new website overview dashboard in RapidSpike: the Third Party Management Dashboard.

Observability is a measure of how well we are able to infer the internal state of our application from its external outputs. It’s an important measure because it indirectly tells us how well we’d be able to troubleshoot problems that will inevitably arise in production. It’s been one of the hottest buzzwords in the cloud space for the last 5 years and the marketplace is swamped with observability vendors. Different tools employ different methodologies for collecting data.

In my work as a technical evangelist at Cribl, I regularly talk to companies seeing annual data growth of 45%, which is unsustainable given current data practices. How do you cost effectively manage this flood of data while generating business value from critical data assets?

From Sumo Logic’s inception over a decade ago, we made a strategic bet to go all in with Amazon Web Service (AWS). Today, many of our customers rely on Sumo Logic to gain unified visibility into their growing number of AWS services, cut troubleshooting time and unlock comprehensive root cause analysis for complete issue resolution.