Operations | Monitoring | ITSM | DevOps | Cloud

As the adoption of confidential computing gains momentum, a question we often get asked is: why would I need confidential computing in my private data center? However, while it is true that confidential computing has often been associated with addressing security concerns in public cloud environments, its value proposition extends well beyond that.

If you take a glance at LinkedIn, Twitter, or any tech-focused social content these days you're bound to see people talking about something called "DORA metrics". So what are DORA metrics? What value do they provide? And how can you get started with them?

“Malicious cyber actors aren’t making the same holiday plans as you.” (CISA & FBI) Summertime is prime time for cyberattacks. According to one survey, 58% of security professionals believe that there is seasonality in the attacks that their company experiences every year, with the majority citing summer as high season for breaches.

Many processes in our daily software development chain require data analysis in real-time. Ensuring the reliability of the data is vital, since multiple processes may rely on it. While taking into account the performance and fetching only the relevant data that is required for our specific use case.

When I was still writing code, our Splunk license only had enough capacity to monitor our Production environment. So we stood up a self-managed Elastic cluster for our lower environments. This quickly became unmanageable as we started logging more and adding additional environments. As I spend more time in the field, I see this pattern repeated over and over.

“We moved to the cloud and now everything is more expensive!” Unfortunately, this is a common utterance from companies that have made the leap to a public cloud-based architecture, and a slowdown in adoption growth seen during the pandemic is hitting providers big and small as organisations rationalise cloud spend in the face of rising costs. The good news is these costs can typically be reined in without too much disruption or the need to retreat from the cloud.

At CloudZero, we’re pretty proud of the fact that our platform allows you to maximize your profitability by understanding your unit costs. In fact, our platform’s ability to help you easily track and analyze unit costs is one of the things that sets us apart the most from our competitors. Here is a brief breakdown of why our method of determining your company’s unit economics is so valuable and what our competitors offer — or don’t offer — in comparison.

We’re excited to introduce a dedicated Grafana Cloud solution for Apache Mesos, an open-source project for managing clusters in your data center and at cloud scale. Apache Mesos is a distributed systems kernel, running on every machine in a cluster and providing easy orchestration of every resource in the cluster. This allows you to treat compute units, memory, and disk as a single pool of resources.

The Kubernetes & Cloud Native Glossary This post will provide you with an A-Z guide of terms associated with Kubernetes and Cloud Native. Through this, we have compiled a list of over 100 terms with the aim of helping you understand the terminology required to start learning about Kubernetes and Cloud Native. Back to Start.

Think about all the IT tasks you carry out in your business. Now, imagine you could automate these jobs and shift your focus to more important assignments. Ansible could prove to be a solution to your IT challenges. It’s a software tool that streamlines IT operations, freeing up resources and labor in your organization. Learn more about Ansible and how it can help your company below.