Back in December, Amazon Web Services (AWS) and Grafana Labs partnered to launch the Amazon Managed Service for Grafana in a preview to a limited set of customers. Amazon Managed Service for Grafana is a scalable managed offering that provides AWS customers a native way to run Grafana directly within AWS alongside all their other AWS services.
Today we are excited to share a key milestone, not only for Logz.io, but also for our industry as a whole. For the first time ever, an industry analyst took on the ambitious challenge of analyzing and assessing several different markets including monitoring and telemetry, APM, AIOps, observability, and more. The radar also takes account of evaluating leaders’ various products, unveiling a comprehensive overview under the unified lens of Observability.
At the end of last week, a significant BGP leak caused widespread network outages that impacted major network operators, cloud, and CDN providers. The incident on Friday, April 16th, 2021 was (yet another) classic origin hijack case from Vodafone Idea (AS55410), an Indian operator based in Mumbai and Gandhinagar. The Vodafone Idea ASN was inundated with traffic,13 times higher than average, leaving its users unable to access the internet.
Telecom companies monitor their network using a variety of monitoring tools. There are separate fault management and performance management platforms for different areas of the network (core, RAN, etc.), and infrastructure is monitored separately. Although these solutions monitor network functions and logic – something that would seem to make sense — in practice this strategy fails to produce accurate and effective monitoring or reduce time to detection of service experience issues.
A common challenge in data engineering is to combine traditional data warehousing and BI reporting with experiment-driven machine learning projects. Many data scientists tend to work more with Python and ML frameworks rather than SQL. Therefore, their data needs are often different from those of data analysts. In this article, we’ll explore why having a data lake often provides tremendous help for data science use cases.
