Enterprises of every size are moving applications and infrastructure to the cloud. Maintaining operational awareness is difficult enough within a single cloud…
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GigaOm Radar for GitOps
In the GigaOm report “ Key Criteria for Evaluating GitOps Solutions,” we defined GitOps as “an approach to supporting continuous delivery that…
Read MoreGigaOm Radar for Extended Detection and Response (XDR) Solutions
Enterprise cybersecurity is typically composed of multiple security solutions from various vendors combined with a security information and event management (SIEM) and/or…
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Relational Databases in the Cloud: Masters of Federation
Relational database management systems (RDBMSes) have been around for a long time, and they are very much still with us. The on-premises…
Watch NowGigaOm Radar for Data Loss Prevention
Data is at the core of today’s enterprise, and ensuring it’s protected and secure is at the top of every enterprise’s agenda.…
Read MoreLog and Telemetry Analytics Performance Benchmark
The number of connected devices, including the machines, sensors, and cameras that make up the Internet of Things (IoT), continues to grow…
Read MoreBanking on Low Code
A Rome-based banking group, comprising 130 financial entities, wanted to implement a new solution to deal with its three-month fraud management backlog,…
Read MoreGigaOm Radar for Continuous Vulnerability Management
Vulnerability management is a mature component of the cybersecurity ecosystem. It has become a commodity function, an expected part of every organization’s…
Read MoreKey Criteria for Evaluating Multifactor Authentication Solutions
Multifactor authentication (MFA) addresses one of the most vulnerable elements in cybersecurity—humans. As most attacks are enabled through social engineering, MFA intervenes…
Read MoreKey Criteria for Evaluating Streaming Data Platforms
Streaming data platforms comprise a relatively new category in the data world; one which has seen explosive growth in the last decade.…
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Benchmarking Enterprise Streaming Data and Message Queuing Platforms
Historical paradigms around data are being shifted due to exponential data growth, hybrid cloud architectures, real-time data needs, massive computing at scale,…
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