The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
Do you ever feel like someone's watching you? Well, when it comes to your company's network, you should hope so! With so many people relying on Microsoft Teams, Office 365, and Azure to keep their businesses running smoothly, it's more important than ever to keep a watchful eye on your network. But who has the time to monitor everything 24/7?
Managing data centers, the fundament for all IT infrastructure running business-critical workloads, especially for large-scale HA, and hybrid environments, can be a complex task. Microsoft System Center simplifies data center management across your IT environments. With the new Microsoft System Center 2022 release in April 2022, managing datacenters across diverse IT environments utilizing Windows Servers, Azure Stack HCI, and VMWare deployments on System Center is now even easier.
Metrics are an important component of monitoring and observability. They provide information about specific durations of measured occurrences. In OpenTelemetry (OTEL), metrics play a huge role in providing visibility into the performance and health of an application. It has become a de facto standard among cloud-native apps for monitoring and observability solutions. Hence understanding OpenTelemetry metrics and when to use them will help you optimize your observability efforts.
Mutual transport layer security (mTLS) is an important subject among security, reliability, and engineering professionals who need to secure API communication as well as communication between machines and the applications and services they run. And for good reason: in 2022, the global average cost of a data breach was US$4.35 million, and almost double that in the United States at US$9.44 million.
This article was originally published in InfoWorld and is reposted here with permission. The compactor handles critical post-ingestion and pre-query workloads in the background on a separate server, enabling low latency for data ingestion and high performance for queries. The demand for high volumes of data has increased the need for databases that can handle both data ingestion and querying with the lowest possible latency (aka high performance).
