Observability
The most sophisticated observability practitioners (leaders) are able to cut downtime costs by 90%, from an estimated $23.8 million annually to just $2.5 million, compared to observability beginners, according to the State of Observability 2022 from Splunk in collaboration with the Enterprise Strategy Group. What's more, leaders in observability are more innovative and more successful at achieving digital transformation outcomes and other initiatives ...
Between 2012 to 2015 all of the hyperscalers attempted to use the legacy APM solutions to improve their own visibility. To no avail. The problem was that none of the previous generations of APM solutions could match the scaling demand, nor could they provide interoperability due to their proprietary and exclusive agentry ...
For the past decade, Application Performance Management has been a capability provided by a very small and exclusive set of vendors. These vendors provided a bolt-on solution that provided monitoring capabilities without requiring developers to take ownership of instrumentation and monitoring. You may think of this as a benefit, but in reality, it was not ...
Increasingly, more and more software is being delivered as software as a service (SaaS). Gartner forecasts the SaaS market to continue to expand to $145B in 2022. Consumers and businesses not only have become accustomed to, but also expect SaaS-based solutions, even more so in the post-COVID world. This new frontier allows features to be rolled out at an unparalleled velocity paving the way for continuous innovation and sustainable competitive advantages ...
In this 3 part series, I will explore, contrast, and discuss the differences as well as the history of APM and the meteoric rise of Modern Observability, why these two are related but simultaneously are vastly different in outcome. Indeed, Modern Observability is disrupting the world, and organizations doing it right are realizing massive gains in innovation, reaping the benefits of higher performance and optimization across numerous dimensions including ...
Despite all of the advancement and maturity of observability systems, production issues take longer to resolve, according to the DevOps Pulse 2022 Report from Logz.io ...
The past couple years fostered an unprecedented expansion of digital transformation initiatives and projects across nearly every industry. In order to maintain "business as usual" during the world's transition to being fully remote or hybrid, companies had to implement new digital services, or update existing ones, to allow transactions to take place online versus in person. As a result, companies' digital strategies quickly grew in significance, playing a larger role in the ultimate success of the business ...
Enterprises wrestle with true observability because most observability data remains dark or unexploited. The scale, complexity, variety of data consumers, and runaway costs make it difficult for enterprises to get value from their machine data. There are other technical and organizational challenges, such as data and department silos, the complexity of managing data in cloud-native and hybrid cloud environments, and the inefficiency of single-pane-of-glass approaches to route data to appropriate destinations. Let's take a look at three of the most pervasive pain points, according to the survey, holding enterprises back from observability nirvana ...
While the pandemic forced enterprises to uproot their traditional network infrastructures to better accommodate masses of people working from home or alternate locations, they are coming to grips with a new reality including many issuing decrees that many employees may never return to the office ...
Still not convinced on the value an AIOps platform offers? Consider this: one minute of downtime at Amazon costs the company roughly $220,000 in revenue. With that kind of money on the line, SRE and DevOps teams forced to manage availability by writing rules and querying logs manually are set up to fail — and failure is costly. AIOps is the necessary lift your monitoring tools need to improve performance and cut out the toil for DevOps and IT teams. Here are five ways AIOps does exactly that ...
Logs produced by your IT infrastructure contain hidden gems — information about performance, user behavior, and other data waiting to be discovered. Unlocking the value of the array of log data aggregated by organizations every day can be a gateway to uncovering all manner of efficiencies. Yet, the challenge of analyzing and managing the mountains of log data organizations have is growing more complex by the day ...
Our growing dependence on the cloud and Internet for business means we must take time to prepare for downtime and latency issues. There are valuable lessons found in most failures, and the Internet outages of 2021 certainly provide ample motivation to revamp processes for mitigating system disruptions. Here are six take-aways from 2021's Internet fails that can be used to increase efficiencies in managing the system infrastructure of any enterprise, no matter its size or sector ...
The shift to containers and microservices is a key component of the digital transformation and shift to an all encompassing digital experience that modern customers have grown to expect. But these seismic shifts have also presented a nearly impossible task for IT teams: achieve ceaseless innovation whilst maintaining an ever more complex infrastructure environment, one that tends to produce vast volumes of data. Oh and can you also ensure that these systems are continuously available? ...
Having a variety of tools to choose from creates challenges in telemetry data collection. Organizations find themselves managing multiple libraries for logging, metrics, and traces, with each vendor having its own APIs, SDKs, agents, and collectors. An open source, community-driven approach to observability will gain steam in 2022 to remove unnecessary complications by tapping into the latest advancements in observability practice ...
These are the trends that will set up your engineers and developers to deliver amazing software that powers amazing digital experiences that fuel your organization's growth in 2022 — and beyond ...
In a world where digital services have become a critical part of how we go about our daily lives, the risk of undergoing an outage has become even more significant. Outages can range in severity and impact companies of every size — while outages from larger companies in the social media space or a cloud provider tend to receive a lot of coverage, application downtime from even the most targeted companies can disrupt users' personal and business operations ...
Move fast and break things: A phrase that has been a rallying cry for many SREs and DevOps practitioners. After all, these teams are charged with delivering rapid and unceasing innovation to wow customers and keep pace with competitors. But today's society doesn't tolerate broken things (aka downtime). So, what if you can move fast and not break things? Or at least, move fast and rapidly identify or even predict broken things? It's high time to rethink the old rallying cry, and with AI and observability working in tandem, it's possible ...
Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry, and related technologies will evolve and impact business in 2022. Part 4 covers OpenTelemetry ...
Industry experts offer thoughtful, insightful, and often controversial predictions on how APM, AIOps, Observability, OpenTelemetry, and related technologies will evolve and impact business in 2022. Part 3 covers Observability ...
APMdigest asked the top minds in the industry what they think AIOps can do for IT Operations. Part 2 covers capabilities supported by AIOps, such as visibility and alerting ...
Distributed tracing has been growing in popularity as a primary tool for investigating performance issues in microservices systems. Our recent DevOps Pulse survey shows a 38% increase year-over-year in organizations' tracing use. Furthermore, 64% of those respondents who are not yet using tracing indicated plans to adopt it in the next two years ...
When a website or app fails or falters, the standard operating procedure is to assemble a sizable team to quickly "divide and conquer" to find a solution. The details of the problem can usually be found somewhere among millions of log events and metrics, leading to slow and painstaking searches that can take hours and often involve handoffs between experts in different areas of the software. The immediate goal in these situations is not to be comprehensive, but rather to troubleshoot until you find a solution that remedies the symptom, even if the underlying root cause is not addressed ...
While 90% of respondents believe observability is important and strategic to their business — and 94% believe it to be strategic to their role — just 26% noted mature observability practices within their business, according to the 2021 Observability Forecast ...
DevOps, SRE and other operations teams use observability solutions with AIOps to ingest and normalize data to get visibility into tech stacks from a centralized system, reduce noise and understand the data's context for quicker mean time to recovery (MTTR). With AI using these processes to produce actionable insights, teams are free to spend more time innovating and providing superior service assurance. Let's explore AI's role in ingestion and normalization, and then dive into correlation and deduplication too ...
As we look into the future direction of observability, we are paying attention to the rise of artificial intelligence, machine learning, security, and more. I asked top industry experts — DevOps Institute Ambassadors — to offer their predictions for the future of observability. The following are 10 predictions ...
