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.
We are pleased to announce that as of 13th April 2021, Dashbird has successfully completed its SOC 2 Type 2 audit. SOC 2 engagements are based on the AICPA’s Trust Service Criteria. SOC 2 audit reports focus on a Service Organization’s non-financial reporting controls as they relate to the Security of a system. The audit was conducted by Dansa D’Arata Soucia LLP.
It’s April, and that means it’s Mathematics and Statistic Awareness month. And in our everyday world of monitoring and observability, both play an ever-increasing role in how we keep track of our environments, both our apps and our infrastructure. Our world is no longer about just pinging the server/app to make sure “It’s alive!”.
It was revealed just a few days ago that US Federal investigators are looking into an intrusion and insertion of malicious code into Codecov. As many readers here will already know, Codecov is a software auditing tool that analyses your source code to check for the amount of test coverage. The intrusion targeted the Codecov bash uploader, which is a script that provides a way to send coverage reports to Codecov.
