Instana announced enhancements to its Unbounded Analytics platform for even faster and easier detailed analysis across the company’s enterprise observability platform.
Enhanced, in-depth search queries go beyond the dashboard and enable DevOps workers and Operations engineers to investigate every metric of interest, and all the applications and services impacted in detail. It also lets them identify potential problems and create alerts to provide advanced warning and enable intelligent remedial actions.
“Instana’s Unbounded Analytics engine delivers a powerful method for users to optimize their use of the massive amount of observability data available,” said Chris Farrell, Technical Director and APM Strategist at Instana. “Delivering advanced search capabilities throughout Instana’s Enterprise Observability Platform allows users to focus discovery on the most relevant details even fasterBoolean expression capabilities make filtering even more powerful, and faceted search mechanisms let users drill down into the details without manual search fields.”
New enhancements in the search interface include:
- Faceted search: Apply filters quickly through faceted classification
- Common search categories: Search by applications, services, endpoints, and technologies
- Grouping: Group your search results according to http path or other criteria
- Drill-down: Move from tables to detailed information in just a few clicks
- Sorting: Sort your data by ascending or descending order
- Boolean expressions: Use “and” and “or” variables to gain more precise search results
- Bracketed queries: Advanced queries allow even more sophisticated drill down filters
APM and observability platforms typically provide dashboards for high-level metrics, but they sometimes fall short when users need more detail. Users lose valuable time to manual searches, confusing interfaces, and incomplete information – and their customers suffer. Updates to Instana’s Unbounded Analytics save critical time that could be the difference between proactive resolution and costly service downtime.
Instana’s Enterprise Observability Platform discovers and maps all applications, services, infrastructures, events, and their interdependencies automatically. Instana ingests all observability metrics, traces each request, profiles every process, and updates application dependency maps in real time to deliver context and actionable feedback. Instana never uses sampling or partial traces ever. Instana Analytics enhancements optimize application performance, enable innovation, and mitigate risk to help DevOps add value and efficiency to the pipeline.
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 ...