Operations | Monitoring | ITSM | DevOps | Cloud

The structured nature of Kubernetes enables a repeatable and scalable means of deploying and managing services and applications. This has led to widespread adoption across market verticals for both on-premises and cloud deployment models. The autonomous nature of Kubernetes operation, however, demands comprehensive, fully-converged observability and security. This is uniquely possible today using the Elastic platform.

We’re pleased to announce that Elastic has been named a Leader in the 2022 Gartner® Magic Quadrant™ for Insight Engines. This is our second year of inclusion in the Gartner Magic Quadrant for this category, and this year’s evaluation places Elastic as the furthest entry on the "Completeness of Vision" axis.

As an observability provider, we are always confronted with our clients’ goal for faster resolution of problems and better overall performance of their systems. By working on large-scale projects at Logz.io, I see the same main challenge coming up for all: extracting valuable insights from huge volumes of data generated by modern systems and applications.

We’re excited to announce significant improvements to our Archive+Restore capabilities – which enables low-cost long term log storage in AWS S3 or Azure Blob, while providing access to ingest those logs into Logz.io at any time. The first enhancement is Power Search, which will make it faster to restore logs from archived log data in AWS S3 (and soon for Azure Blob) in our Open 360™ platform.

We are excited to announce that Elastic has been recognized as a Strong Performer in The Forrester Wave™: Artificial Intelligence for IT Operations (AIOps), Q4 2022 in our first year participating! As organizations modernize their infrastructure and applications, operations and development teams are faced with an exponential growth in data.

Fact: The Security Operations team at Grafana Labs loves logs. They are a key pillar of observability for many reasons, such as how they are stuffed full of details to help us diagnose the “why?” when things go wrong. This is especially true when the information pertains not to a series of unfortunate events, but instead to an adversary trying to cause us harm.

Is all observability data worth the same cost? If you guessed no, then you’d obviously be correct. Anyone familiar with the very nature of gaining targeted observability knows that some data points hold more value than others. Yet, many observability platforms still treat all types of log data the same, and as a result, related costs remain uniform. One of the most persistent observability challenges today is the cost of indexing log data.