Operations | Monitoring | ITSM | DevOps | Cloud

What’s the right way to manage growing volumes of enterprise data, while providing the consistency, data quality and governance required for analytics at scale? Is centralizing data management in a data lake the right approach? Or is a distributed data mesh architecture right for your organization? When it comes down to it, most organizations seeking these solutions are looking for a way to analyze data without having to move or transform it via complex extract, transform and load (ETL) pipelines.

Today’s enterprises aspire to achieve IT process automation to help manage their infrastructure more efficiently and effectively. An AIOps platform like SL1 from ScienceLogic makes IT automation possible by discovering all devices, configuration, ingesting data from all resources, and creating an operational data lake populated with accurate and timely data. That data ensures the best possible result when automating simple, repetitive tasks.

IBM zSystems run on some of the fastest processors. IBM zSystems are used for maximum speed and volume of data transactions, mainly in the banking, health care, airline, and retail sector. These markets need to rely on seven nines (99.99999%) of availability and performance of their systems, as they are the backbone of the entire business.

Welcome to the jungle! No, we're not talking about the wild, untamed rainforest filled with exotic animals and hidden treasures. We're talking about the jungle of network congestion, where packets of data roam wild and free, causing chaos and confusion for anyone trying to navigate their way through. But fear not, fellow adventurers, for we have the ultimate guide to help you conquer the congestion jungle and emerge victorious on the other side.

Welcome dear reader! It's time for a deep dive into the world of DNS. As you would expect for a SaaS startup, everything starts with the customer. On a bright sunny day, we received a support request, asking for an explanation for unusual 5 second DNS resolution times that triggered check degradations.

Cribl Search is a powerful tool that allows users to search and analyze data at rest, quickly and efficiently. But what if you need to send your search results to a different system for further analysis, audit, or compliance purposes? For instance, consider the following use cases: That’s where send operator comes in.

CreateContainerConfigError and CreateContainerError are two of the most prevalent Kubernetes errors found in cloud-native applications. CreateContainerConfigError is an error happening when the configuration specified for a container in a Pod is not correct or is missing a vital part. CreateContainerError is a problem happening at a later stage in the container creation flow. Kubernetes displays this error when it attempts to create the container in the Pod.