What are the crucial AWS Lambda metrics you should definitely be monitoring? Your application does not need to be “huge” for it to have enough functions and abstraction to get lost in it. As a DevOps engineer, you can’t cover every single factor. Showing relevant facts and asking the right questions is crucial! So when there’s a fire, you can troubleshoot in no time. Every organization is unique, and every workload has its own utility.

I’m sure many of you will have tried out the predictive features in ITSI, and you may even have a model or two running in production to predict potential outages before they occur. While we present a lot of useful metrics about the models’ performance at the time of training, how can you make sure that it is still generating accurate predictions? Inaccuracy in models as the underlying data or systems change over time is natural.

Welcome back to another day in paradise. Today we are announcing the release of Splunk Enterprise 8.2. Since our last release of Splunk Enterprise 8.1 at .conf20, we have continued development of new and enhanced capabilities for our twice a year release cadence. In Splunk Enterprise 8.2, we have focused our development offers across a number of themes: insights, admin productivity, data infrastructure, and performance.

Application monitoring is a well-established discipline that dates back decades and remains a pillar of software management strategies today. However, as software environments and architectures have evolved, monitoring techniques have needed to evolve along with them. That’s why many teams today rely on distributed tracing to glean insights that they can’t gather from application monitoring alone.

Properly analyzing the massive amounts of data created by network access and the associated security tools has become a very tedious chore. Today’s cybersecurity professionals are seeking ways to better deal with the massive influx of information so that they can make intelligent choices when it comes to the cybersecurity posture of their networks. Selecting the proper tools is an important task which merits investigation.

In the last six months, multiple major cyber attacks have severely impacted hundreds of organizations in both the public and private sectors, and disrupted the daily lives of tens of thousands of their employees and customers.

LogDNA Alerts are a key feature for developers and SREs to stay on top of their systems and applications, as it notifies them of important changes in their log data. However, with so many different workflows to account for, it was important to enable a flexible solution that could connect to any team’s toolkit.

In microservices architecture, to identify performance issues—including latency—it’s important to monitor each service and all inter-service communication. Jaeger and VMware Tanzu Observability can help. Jaeger is an open source, distributed tracing system released by Uber Technologies. VMware Tanzu Observability is a high-performance streaming analytics platform that supports 3D observability (e.g., metrics, histograms, and traces/spans).

We are very excited to announce a key integration between VMware Tanzu and VMware Cloud on AWS that provides a significantly enhanced experience for our customers who want to deploy, run, and manage Kubernetes in VMware Cloud on AWS. With this integration, VMware Tanzu Mission Control now supports full lifecycle management—provisioning, upgrading, scaling, and deleting—of Tanzu Kubernetes clusters deployed on VMware Cloud on AWS.

The best business decisions are backed by data. Companies that constantly collect, analyze, and proficiently store this are more likely to succeed in the long run. An organization's database can be a direct source of revenue. Not only in the sense that data can be sold, but the insights produced can help the business too. Data about customer habits, market trends, etc., can enable a company to optimize its practices and find the most effective way to conduct tasks.