Logz.io has achieved the Amazon Web Services (AWS) Small and Medium Business Competency.
This specialization recognizes Logz.io as an AWS Partner with a unique set of benefits for small and medium size customers (SMBs).
Achieving the AWS Small and Medium Business Competency differentiates Logz.io as an AWS Partner that has demonstrated proficiency and proven customer success helping SMBs solve their business and technical problems. Logz.io is equipped to handle these challenges with solutions designed with their customers’ unique needs in mind, including consideration for SMB’s typical deployment models, their level of IT capabilities and financing preferences, and their local and industry requirements.
“Small and medium businesses are especially sensitive to unnecessary complexity or unpredictable costs,” said Asaf Yigal, Logz.io co-founder and CTO. “And with leaner teams, SMBs require streamlined platforms that provide valuable insights to inform data-driven decisions in the most efficient and cost-effective way. Logz.io achieving the AWS Small and Medium Business Competency can give SMBs executing a cloud strategy confidence that their unique needs are understood.”
AWS is enabling scalable, flexible and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, the AWS Competency Program helps customers identify AWS Partners with deep industry experience and expertise.
Logz.io’s Open 360 observability platform helps to meet the needs of SMBs by delivering an entirely different experience that makes observability simple, intuitive, and easy to use, while speeding implementation and radically increasing cost effectiveness. Open 360 unifies log, metric and trace data into a single platform for full visibility into the health and performance of an organization’s entire stack. Users have the ability to reduce costs with filters that remove unneeded data as well as access to an Amazon Simple Storage Service (Amazon S3) storage repository that saves money while keeping data queryable.
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 ...