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CybersecAsia Awards 2020 recognizes ManageEngine for its leadership in cybersecurity

ManageEngine’s Log360 was recently honored with the CybersecAsia Award for the Best User and Entity Behavior Analytics software application. The award certifies the important role, and the innovative technology brought to the table by Log360 over the past two years. Elevated cybersecurity risks currently experienced by organizations have driven the sudden adoption of the cloud and increased workforce mobility.

Getting Started with Sematext Browser SDK for Front-end Performance Monitoring

Open-sourcing a code base for the world to see after working on it for a long time is a great experience. You should care about what your users want. You want your users to have a great experience using your product. Everything has to fall into place. Performance, responsiveness, user experience, etc. all have to be exceptional. That’s why I think front-end performance metrics are crucial.

Trace discovery in Grafana Tempo using Prometheus exemplars, Loki 2.0 queries, and more

Grafana Tempo, the recently announced distributed tracing backend, relies on integrations with other data sources for trace discovery. Tempo’s job is to store massive numbers of traces, place them in object storage, and retrieve them by id. Logs and exemplars allow users to quickly and more powerfully jump directly to traces than ever before. Let’s dig into some examples with a live playground to try it out!

The True Cost of Downtime For Businesses

In this post, we’re sharing some of the best insights from specialists across a variety of industries to answer: What is downtime & why is downtime so detrimental for businesses? As well as answering this key topic we’ll also cover how businesses can take steps to prevent downtime & understand the underlying causes behind this often costly concern. Downtime is a term used to refer to a period of time in which a system, website or service is unavailable to its users.

SAP and Splunk: A Winning Combination

You’re running Splunk — you know how valuable end-to-end visibility saves you both time and money. But...what if you’re running an SAP solution? You’re likely using SAP's Solution Manager to keep an eye on its software, but if Solution Manager sees that HANA is not working, it really can’t tell you why, if the issue is beneath SAP. Splunk and SAP recognized that, and have a shared goal of helping our customers realize the full potential of their data.

Breaking Down the DevOps Pulse 2020: Going Cloud-Native

Our annual DevOps Pulse identifies and tracks points of interest and emerging trends throughout the tech industry. The 2020 DevOps Pulse was our biggest ever with over 1,000 respondents. This year, we put an emphasis on cloud-native technology adoption and adaptation to architecture, applications, and observability technologies. However, we would be remiss not to trail and track how DevOps pros and their teammates are dealing with the other major events of the year.

Video: Top three features of the new Loki 2.0

Hi folks, Ward Bekker here from the Solutions Engineering team. I’ve just published a video on the new Loki 2.0 release that I’m excited to share with you. The Loki team announced the brand-new Grafana Loki 2.0 release at last week’s ObservabilityCON conference. It’s an exciting, feature-packed release. Loki’s slogan — like Prometheus, but for logs — is more true than ever before.

Getting started with Elastic Cloud on Microsoft Azure

Elastic on Azure gives you the power of Elastic Enterprise Search, Elastic Observability, Elastic Security as well as the Elastic Stack. You can quickly and easily search your environment for information, analyze data to observe insights, and protect your technology investment. Elastic Cloud lets you deploy your way, whether as a managed service, or with orchestration tools you manage in Azure. You can easily get started with Elastic Cloud on Azure through our listing page on the Azure Marketplace.

Elasticsearch Hadoop Tutorial with Hands-on Examples

In this lesson, we’ll learn how we can use Elasticsearch Hadoop to process very large amounts of data. For our exercise, we’ll use a simple Apache access log to represent our “big data”. We’ll learn how to write a MapReduce job to ingest the file with Hadoop and index it into Elasticsearch.