Dynatrace
JANUARY 16, 2023
The report also reveals the leading programming languages practitioners use for application workloads. The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. are the top 3 programming languages for Kubernetes application workloads. Databases : Among databases, Redis is the most used at 60%.
The Netflix TechBlog
JULY 15, 2021
I was later hired into my first purely data gig where I was able to deepen my knowledge of big data. After that, I joined MySpace back at its peak as a data engineer and got my first taste of data warehousing at internet-scale. I had been a happy subscriber of Netflix’s DVD-rental program (no late fees!)
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Dynatrace
JANUARY 11, 2023
As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. With agent monitoring, third-party software collects data and reports from the component that’s attached to the agent.
Scalegrid
MARCH 28, 2024
Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Data transfer technology. Cube or box Block chain of abstract financial data. Additionally, it provides robust native support for geospatial data, enhancing applications like maps and location services.
Dynatrace
APRIL 11, 2023
The CVE Program, which publishes vulnerabilities as they become known, reported a 25% increase in vulnerabilities between 2021 and 2022. Meanwhile, traditional databases have demonstrated limitations in increasingly complex and distributed cloud-native environments.
ScaleOut Software
JULY 19, 2021
Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.
Percona
JANUARY 14, 2019
What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Processed 4.15
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