Everyone agrees that IT is under pressure to deliver fast and reliable application performance and customer experiences that exceed expectations. And, if a customer-facing app goes down, the implications can be quite drastic as we can see in the article "5-minute outage costs Google $545,000 in revenue" or "WhatsApp experiences major outage". The ramifications include lost revenue, profits, and damaged reputation – not to mention resulting shake-ups in responsible IT departments.
The customer-facing applications that we as consumers rely on every single day have grown very complex, running on an infrastructure that consists of multiple tiers and platforms across physical, virtual and hybrid cloud environments. Ensuring the optimal end-user experience for the new Web, cloud, and mobile apps add to an already overburdened IT workload. The manual processes and transactional-monitoring tools of the past can't keep up with the complexity of these new mission-critical applications. They don't give IT staff the support they need to identify and solve problems quickly, and deliver against their service level objectives.
Application Performance Management (APM) software addresses these challenges in the complex, dynamic, and interconnected application environment. However, monitoring complex applications, business transactions and ensuring exceptional end user experience 24x7, generates a big pile of data.
A well-configured APM system points to root causes and enables technical investigations, but even the best configured system may still miss critical warning signs if operators rely only on simple thresholds and baselines. Complex application environments need good, out-of-the-box analysis of all available APM Big Data to complement the special configuration of dashboards, which serve particular purposes. This is how we can crack the code on big data.
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Developers need a tool that can be portable and vendor agnostic, given the advent of microservices. It may be clear an issue is occurring; what may not be clear is if it's part of a distributed system or the app itself. Enter OpenTelemetry, commonly referred to as OTel, an open-source framework that provides a standardized way of collecting and exporting telemetry data (logs, metrics, and traces) from cloud-native software ...
As SLOs grow in popularity their usage is becoming more mature. For example, 82% of respondents intend to increase their use of SLOs, and 96% have mapped SLOs directly to their business operations or already have a plan to, according to The State of Service Level Objectives 2023 from Nobl9 ...
Observability has matured beyond its early adopter position and is now foundational for modern enterprises to achieve full visibility into today's complex technology environments, according to The State of Observability 2023, a report released by Splunk in collaboration with Enterprise Strategy Group ...
Before network engineers even begin the automation process, they tend to start with preconceived notions that oftentimes, if acted upon, can hinder the process. To prevent that from happening, it's important to identify and dispel a few common misconceptions currently out there and how networking teams can overcome them. So, let's address the three most common network automation myths ...
Many IT organizations apply AI/ML and AIOps technology across domains, correlating insights from the various layers of IT infrastructure and operations. However, Enterprise Management Associates (EMA) has observed significant interest in applying these AI technologies narrowly to network management, according to a new research report, titled AI-Driven Networks: Leveling Up Network Management with AI/ML and AIOps ...
When it comes to system outages, AIOps solutions with the right foundation can help reduce the blame game so the right teams can spend valuable time restoring the impacted services rather than improving their MTTI score (mean time to innocence). In fact, much of today's innovation around ChatGPT-style algorithms can be used to significantly improve the triage process and user experience ...
Gartner identified the top 10 data and analytics (D&A) trends for 2023 that can guide D&A leaders to create new sources of value by anticipating change and transforming extreme uncertainty into new business opportunities ...
The only way for companies to stay competitive is to modernize applications, yet there's no denying that bringing apps into the modern era can be challenging ... Let's look at a few ways to modernize applications and consider what new obstacles and opportunities 2023 presents ...
As online penetration grows, retailers' profits are shrinking — with the cost of serving customers anytime, anywhere, at any speed not bringing in enough topline growth to best monetize even existing investments in technology, systems, infrastructure, and people, let alone new investments, according to Digital-First Retail: Turning Profit Destruction into Customer and Shareholder Value, a new report from AlixPartners and World Retail Congress ...
