It feels like cybersecurity is dominating the newsfeeds, doesn’t it? There is a reason. Cyberattacks and cybercrime have risen dramatically in the last five years. 2020 broke all records in terms of data loss and the number of cyberattacks. Between 2019 and 2020 ransomware attacks alone rose by 62%, the same year that the World Economic Forum identified cyberattacks and data theft as two of the biggest risks to the global economy.
Netdata excels in collecting, storing, and organizing metrics in out-of-the-box dashboards for powerful troubleshooting. We are now doubling down on this by transforming data into even more effective visualizations, helping you make the most sense out of all your metrics for increased observability. The new Netdata Charts provide a ton of useful information and we invite you to further explore our new charts from a design and development perspective.
This is a short blog post about a pattern that we’ve observed more frequently among some of the large enterprises: the use of AWS S3 as both an observability lake and a data bus. AWS S3’s simple API, ubiquitous language support, unmatched reliability and durability, retention options, and numerous pricing plans have made it the de facto standard for storing massive amounts of data.
In this post, we’ll walk through our journey of launching Cribl LogStream Cloud on AWS Graviton instances. In order to put our journey into perspective, it is worth spending a few moments to describe the product and its resource requirements.
Since early 2020, there has been a massive growth in the number of active Microsoft Teams users and organizations deploying Teams; now, there are more than 200 million monthly active users across the globe. With an increase in market share, it’s one of those applications that you either expect an organization to be already using or planning to deploy out to their environment sooner rather than later.
Having an open, safe and efficient digital administration is the new objective of every Government these years. Although the recent pandemic may have hampered any master plan for system evolution and optimization, there is still some hope. The hybrid Cloud reaches the public sector, among other advances. We’ll tell you all about it in our blog!
When you send telemetry into Honeycomb, our infrastructure needs to buffer your data before processing it in our “retriever” columnar storage database. For the entirety of Honeycomb’s existence, we have used Apache Kafka to perform this buffering function in our observability pipeline.
The cloud is today one of the most expensive resources for any modern organization, second only to employee salaries and overhead. According to recent research by Gartner, end-user spending on public cloud services will reach $396 billion in 2021 and grow 21.7% to reach $482 billion in 2022. By 2026, Gartner predicts public cloud spending will exceed 45% of all enterprise IT spending, up from less than 17% in 2021.