Code Java Open Source Operating System 
Dynatrace
JUNE 29, 2023
Because open source software (OSS) is taking over the world, optimizing open source contributions is becoming an essential competitive strategy. OSS is a faster, more collaborative, and more flexible way of driving software innovation than proprietary-only code. However, open source is not a panacea.
Scalegrid
JULY 13, 2020
The unstoppable rise of open source databases. One database in particular is causing a huge dent in Oracle’s market share – open source PostgreSQL. See how open source PostgreSQL Community version costs compare to Oracle Standard Edition and Oracle Enterprise Edition. What’s causing this massive shift?
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Dynatrace
APRIL 14, 2022
Because 60% of developers use Spring for their Java applications , many applications are potentially affected. With a critical CVSS rating of 9.8 , Spring4Shell leaves affected systems vulnerable to remote code execution (RCE). Further, the report lists Tomcat as the most popular Java application server.
Dynatrace
AUGUST 18, 2022
According to the 2022 CISO Research Report , only 25% of respondents’ security teams “can access a fully accurate, continuously updated report of every application and code library running in production in real-time.” Undetected, the compromised code could allow attackers to access data they’re not authorized to have.
Adrian Cockcroft
FEBRUARY 9, 2023
The next layer is operating system platforms, what flavor of Linux, what version of Windows etc. The next layer is defined by the languages you want to use, Java, Python, Go, , Javascript, Rust etc, and the ecosystem of library functions you bought from a vendor or downloaded.
The Morning Paper
MAY 12, 2019
An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., Operating system and network implications. We trade off code complexity for a new kind of emergent system complexity. ASPLOS’19.
Dynatrace
MAY 17, 2023
OpenTelemetry , the open source observability tool, has become the go-to standard for instrumenting custom applications to collect observability telemetry data. However, this method limited us to instrumenting the code manually and collecting specific sets of data we defined upfront.
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