Operations | Monitoring | ITSM | DevOps | Cloud

Latest posts

AI in telecom: an overview for data scientists

I have seen many junior data scientists and machine learning engineers start a new job or a consulting engagement for a telecom company coming from different industries and thinking that it’s yet another project like many others. What they usually don’t know is that “It’s a trap!”. I spent several years forging telecom data into valuable insights, and looking back, there are a couple of things I would have loved to know at the beginning of my journey.

Monitoring as code: what it is and why you need it

“Everything as code” has become the status quo among leading organizations adopting DevOps and SRE practices, and yet, monitoring and observability have lagged behind the advancements made in application and infrastructure delivery. The term “monitoring as code” isn’t new by any means, but incorporating monitoring automation as part of an infrastructure as code (IaC) initiative is not the same as a complete end-to-end solution for monitoring as code.

StackState 101: Explore Relationship-Based Observability

With more data than ever, observing the big picture is still hard. StackState virtually relates all of your data so you can answer the hard questions. What changed and who should be concerned? Two of the hardest questions you have to answer. Not any more. In this live session, we will demo how Topology and Relationship-Based Observability gives you new superpowers, like...

Tigera: Getting up and running with Calico on your on-prem K8s Cluster

If you are deploying Kubernetes on-premises in your datacenter, you won't want to miss this talk and demo. The first thing you're thinking about might not be networking, but without some knowledge of the networking decisions you'll need to make, and what the right option is given your environment, you're likely to get stuck or make the wrong assumptions that may limit your ability to scale or integrate with the rest of the datacenter network.

Tigera: Five ways to improve the observability of your Kubernetes microservices

Early on in building out a CaaS/Kubernetes platform, most users encounter the need for troubleshooting and observability as more tenants and applications are migrated to the platform. While development teams and service owners often understand the microservices which they are deploying to Kubernetes, it's often difficult to get a complete view of dependencies and how all the services are communicating with each other across a cluster. Kube-native and network-first approach to observability result in a faster time to resolution for troubleshooting and analysis.

Elastic: Moving from on-prem to Elastic Cloud (Elasticsearch managed service) on Microsoft Azure

This webinar provides a strong foundation for getting started with Elastic Cloud (Elasticsearch managed service) on Microsoft Azure. Learn how to deploy and manage Elasticsearch clusters, migrate an on-prem cluster to Azure, and use your deployment to monitor Azure services with out-of-the-box integrations.

Elastic: Operationalizing machine learning for SIEM

Unsupervised machine learning (ML) is a core capability for most security operations teams looking to implement an advanced threat detection or insider threat program. However, the deployment of ML can present adoption challenges for security teams. Unless they have in-house data scientists to develop and tune threat models and skilled threat hunters to investigate alerts and manually follow up on interpreting anomalous behaviors, teams may find themselves struggling to gain useful insights and operational value out of ML tools.

Elastic: Optimizing costs in Elastic Cloud

As your organization moves to the cloud, it's important to understand the impact of data management and retention on your bottom line. But optimizing your cloud deployment isn't just about reducing costs - it can also have a positive impact on function. Whether you're using Elastic Cloud for the first time or scaling a current deployment, learn tactics that you and your team can employ to optimize the flow and retention of data within your Elastic Cloud deployment, and which features in Elastic Cloud can provide additional benefits.