Operations | Monitoring | ITSM | DevOps | Cloud

According to research from McKinsey, only 16% of digital transformation efforts have successfully improved performance and equipped the organizations to sustain changes in the long term. That’s a shockingly low number. Why is this happening? And how can you prevent this from derailing your own digital transformation journey and putting your business models, revenue, and profitability at risk?

HashiConf Digital October 2020 was the second HashiConf to be held online due to the coronavirus pandemic. It was held on October 14 and 15 on HashiCorp’s digital event platform. As of this writing, recordings of the talks are available on the platform, but they will be posted soon to HashiCorp’s YouTube channel.

Canonical, the publisher of Ubuntu, releases Charmed Kubeflow, a set of charm operators to deliver the 20+ applications that make up the latest version of Kubeflow, for easy consumption anywhere, from workstations to on-prem, public cloud, and edge. > Visit Charmed-kubeflow.io to learn more. Kubeflow provides the cloud-native interface between Kubernetes, the industry standard for software delivery and operations at scale, and data science tools: libraries, frameworks, pipelines, and notebooks.

Serverless architectures remove the need to provision and maintain infrastructure components like servers and containers, so developers can focus on writing and deploying code. However, serverless architectures also introduce new challenges to monitoring and observability. Teams building serverless applications can iterate quickly and deploy frequent code and configuration changes, making it difficult to track what impact these changes have on your applications.

Infrastructure monitoring is often equated to infrastructure management, which can blur the line between two very distinct jobs. While they are different, it’s safe to say that both infrastructure monitoring and management have the same end goals, i.e., to maintain the integrity of the network, secure the server, and optimize performance. Infrastructure management (IM) has many use cases, and one of those uses cases is infrastructure monitoring.

It takes a large team to manage enterprise DevOps, and it can take a large team of binary repository managers, too. It’s vital to get all team members going the same way, and quickly. A growing developer organization will have many instances of Artifactory to help them scale, on multiple nodes for high availability and multi-site repository replication. Configuring them all precisely, with the same set of repositories, users, and permissions, can’t be done effectively one at a time.

If you’re a SaaS business — especially B2B — you know that your profitability can vary significantly from customer to customer. We all have a sense of our “expensive customers,” who use the product heavily and push things to the limit. That also means there are more profitable customers. Who are they? And how do they use the product?

Amazon Web Services (AWS) is a comprehensive cloud computing platform, providing an array of services to manage a business’s data infrastructure to help it grow and expand. With the wide range of services provided, it has multiple options to provide you with an elastic approach to optimize your costs. However, many users struggle with controlling their expenditure due to a variety of factors. Getting a complete understanding of how to reduce your AWS operational costs may be a daunting task.

Logz.io has deepened its partnership with Hashicorp over the last few months. Recently, we announced our integration with their service mesh, Hashicorp Consul. Simultaneously, we have worked on and completed an integration with their infrastructure orchestrator (a.k.a, infrastructure-as-code or IAC), Terraform. IACs take manual configurations and treats them as, well, code (along with procedures, build guides, run books, etc.).