
Logz.io announced support for the AWS for Games initiative from Amazon Web Services (AWS) to simplify the process of developing and running games for gaming industry observability customers.
AWS for Games is an initiative featuring services and solutions from AWS and AWS Partners, built specifically for Games customers. The initiative makes it easier for game developers, publishers, and platforms to select the right tools and partners to build, run, and grow their games. For customers looking to accelerate deployments with solution-specific support, AWS for Games also identifies dedicated AWS Game Tech industry specialists, AWS services, and leading AWS Partners in each solution area. Logz.io is available in five AWS regions, supporting integrations to over 38 AWS services.
Game developers are challenged when it comes to gathering deep telemetry data in their games. Milliseconds matter! How do you manage to keep your overhead low while minimizing data gaps to help you understand players’ in-game experience at scale? Logz.io’s cloud-native observability platform enables gaming industry engineers to use the best open source tools to monitor and troubleshoot their games and supporting infrastructure; allowing teams to understand how many servers, how many players, and on which platform are impacted at any given time. Companies including Unity and Mediatonic use Logz.io to increase productivity, reduce MTTR, and improve player experience.
Logz.io has helped Unity save valuable engineering time that was previously spent on manual and inefficient operational logging tasks. Moving to a centralized and hosted logging solution that offers proactive analysis tools, the Unity team is now able to gain more visibility into the data, identify and uncover issues that would otherwise have gone unnoticed, and ultimately, better differentiate between noise and signals. Using Logz.io, Unity can identify and troubleshoot issues faster, ultimately boosting development and facilitating faster delivery.
“Launching and running games is not easy. Some games scale from zero to millions of users in no time. By adding observability early in the design of a game, it can help teams improve time to identify and troubleshoot performance issues,” said Tomer Levy, CEO at Logz.io. “Combining our leading open-source observability platform with the services and solutions available through AWS for Games will help our mutual gaming customers tackle difficult challenges, from supporting game launches to handling customer issues when critical transactions fail.”
The Latest
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...