Operations | Monitoring | ITSM | DevOps | Cloud

In its latest report, research firm Gartner tackles the trending subject of Observability. According to Gartner, "Observability is the evolution of monitoring into a process that offers insight into digital business applications, speeds innovation and enhances customer experience. I&O leaders should use observability to extend current monitoring capabilities, processes, and culture to deliver these benefits." This blog post gives you a sneak-peek of this new analyst report about observability.

In 2020, JFrog’s experts published a treasure trove of content — blogs, articles, infographics, and more — to share insights and advice with our customers and the DevOps community at large. In case you missed them — or want to re-read them — here’s a list of the most popular ones. They range from a primer on container registries to an explainer on achieving high-availability for your Maven repository.

Recently, AT&T Cybersecuritypublished important findings in the tenth edition of their Insights report entitled, “ 5G and the Journey to the Edge.” Ivanti was thrilled to contribute to the report, which outlines the most pressing security concerns organizations face in a world embracing the revolutionary transformation to 5G and edge technology.

Today’s blog post dives into the internals of Icinga 2 and will give you an overview how the config synchronization works internally. We will take a small cluster as an example and follow the configuration files through the synchronization mechanism. We assume some familiarity with distributed Icinga 2 setups as this post will not go into details on how to set up an Icinga 2 cluster.

Elastic Cloud puts the power of the Elastic Stack in your hands within minutes. Whether you’re trying to add search capabilities with Elastic Enterprise Search, monitor critical systems and applications with Elastic Observability, or protect your organization from cyber threats with Elastic Security, taking the first step is easy.

Among all the new features and services that AWS announced during the re:Invent 2020, my favorites were definitely the AWS Lambda updates. And there were many! For example, your code execution is no longer rounded up to the nearest 100ms of duration for billing — you are now billed on a per millisecond. On top of that, AWS increased the Lambda’s memory capacity to 10 GB, and correspondingly the CPU capacity up to 6 vCPUs.

Now that we know the advantages of leveraging Ketch over other tools such as Helm to ease the deployment of our applications (BLOG: Helm vs. Ketch when Deploying Applications), a good next step is for us to understand how we can tie Ketch to our CI pipeline and have an automated deployment process. For this example, we will leverage Ketch, GitHub Actions, and a Kubernetes cluster on Google Kubernetes Engine (GKE).

Choosing whether to go with PostgreSQL or MySQL depends on your needs as they are both great databases to use under different circumstances. In this article we will run through a few of the top reasons and use cases to help you choose between these choices for database creation. Note: As a matter of fact, MySQL is so popular it became part of the LAMP stack (Linux, Apache, MySQL, PHP) used for building many web servers.

Under intense competitive pressure for customers and employees alike, most businesses today are pursuing aggressive digital transformation strategies. IDC predicted that nearly US $1.3 trillion was spent worldwide on digital transformation technologies – namely hardware, software, and services – in 2018, and tips that figure to nearly double in 2021 to reach more than US $2.1 trillion.

In this tutorial, we will discuss InfluxDB and its Python client. We will deploy InfluxDB inside a Kubernetes cluster and then use the InfluxDB Python client to send data to InfluxDB.