What is software sprawl, and why is it impacting more organizations than ever? Find out the top causes and how IT teams can regain control. In an effort to support evolving workforces and new technology, more organizations have recently implemented additional operational tools. These new tools often have a specialized purpose or were added to make processes more efficient. In most cases, however, it’s simply resulted in more management responsibility being added to an already stressed IT team.
Enterprises are looking to capitalise on the new wave of small form-factor computing and navigate the shift to the edge. Device manufacturers across the world are racing to build embedded, connected devices that will deliver on the promise of the fourth industrial revolution. Many of them are looking to explore data-driven value-chain optimisations, predictive maintenance and or new digital customer experiences.
Amazon re:Invent is a major technology event every year. At this year’s re:Invent, the keynote by AWS CEO Adam Selipsky made a concerted effort to draw connections between technology and some of the key challenges that people around the world, and in some cases beyond the terra firma of Earth, face. While the presentation touched on a wide range of topics, one overarching theme was the intersection of the physical and digital worlds, and the role technology plays in bridging that divide.
Tracing has always been a key use case for time series data. But admittedly, it’s also one that past versions of InfluxDB could not handle as well as we wanted. One of the roadblocks was the cardinality issue. Tracing data is, almost by definition, high cardinality data and prior to InfluxDB IOx, high cardinality data could affect query performance.
Teams are locked into a cycle of suffering characterized by the feeling that they are sprinting just to stay still. This morale and productivity-destroying state is caused by an inability to find time to save time. Our new research, The State of Availability Report 2022, discovered that teams know what they want to do—harness cloud and DevOps practices and tools to advance digital transformation—but something’s getting in the way.
When we created Cribl Search, we wanted to give systems administrators the ability to query data without having to spend resources on collection and processing first — but we didn’t stop there. With Search, we’re also making it possible to query all the data you’ve already collected, processed, and kept in places like object stores, file systems, analytics tools, S3 buckets, or other data stores.
Our product strategy this year was relatively simple. Many observability practitioners we spoke with complained that observability was oftentimes slow, heavy, complex, and costly – which can be summed up in our CEO’s recent blog on modern observability challenges. While our customers didn’t report similar challenges, we wanted to further distance ourselves from this typical observability experience.
