We’ve all heard the jokes about how us Brits can’t handle the hot weather but when the UK hit record highs in July this year, we have to admit that we really did struggle. No more so than our friends over at Google. Google isn’t a stranger to the occasional outage and website downtime, after seeing Google Maps go down in May earlier this year. But this time, the outage was apparently due to the soaring temperatures we were experiencing.
Monitoring and reporting on your most important business metrics is a fundamental part of any APM or ITIM solution. Our Retrace Power User Tips and Tricks series has already looked at “Error and Log Management” functionalities. We’ve discussed useful, advanced features for monitoring app performance in our “Extending APM” post. In this latest edition, let’s take a look at how power users capture advanced server and application metrics.
The Core Splunk platform is rightfully recognized as having sparked the log analytics revolution when viewed through the lenses of ingest, search speed, scale, and usability. Their original approach leveraged a MapReduce approach, and it still stores the ingested data on disk in a collection of flat files organized as “buckets.” These immutable buckets are not human-readable and largely consist of the original raw data, indexes (.tsidx files), and a bit of metadata.
As businesses shift to a digital-first environment, cloud computing will play a dominant role in delivering greater flexibility and faster innovation. In a recent report by Deloitte, nearly 90% of US-based senior decision makers proclaim cloud to be the cornerstone of their digital strategy. Covid accelerated cloud migration initiatives, with no signs of slowing down. Gartner forecasts worldwide end-user spend on public cloud services will grow by 20.4% in 2022 to a total of $494.7 billion.
We all know the story by now: we’ve entered a new era of work. And no, we’re not just referring to the pandemic, which forced businesses to accelerate digital transformation projects at an unprecedented speed.
This is the second piece in a series about automated diagnostics, a common use case for the PagerDuty Process Automation portfolio. In the last piece, we talked about the basics around automated diagnostics and how teams can use the solution to reduce escalations to specialists and empower responders to take action faster. In this blog, we’re going to talk about some basic diagnostics examples for components that are most relevant to our users.
Grafana Loki 2.6 is here! In addition to improvements in query performance, we are excited to introduce two key features in Grafana Loki: cross-tenant query federation and targeted deletes.
You have more data coming at you than ever before. Over the next five years, the total amount of digital data is going to be more than twice the amount of data created since the advent of digital storage. With the success of your company often determined by how you anticipate and respond to threats – and leverage meaningful insights – you need the ability to quickly search and find insights in your data, despite this increasing deluge of information.
